Pathogen Panel Testing - CAM 181

Description 
Infectious diseases can be caused by a wide range of pathogens. Conventional diagnostic methods like culture, microscopy with or without stains and immunofluorescence, and immunoassay often lack sensitivity and specificity and have long turnaround times. Panels for pathogens using multiplex amplified probe techniques and multiplex reverse transcription can detect and identify multiple pathogens in one test using a single sample (Palavecino, 2015).

Policy

  1. Multiplex PCR-based panel testing of up to 5 gastrointestinal pathogens (GIP) is considered MEDICALLY NECESSARY in any of the following situations* (See Note 1):
    1. Community-acquired diarrhea of ≥ 7 days duration; or
    2. Diarrhea with signs or risk factors for severe disease (fever, bloody diarrhea, dysentery, dehydration, severe abdominal pain, hospitalization and/or immunocompromised state).
  2. In the outpatient setting, multiplex PCR-based panel testing of up to 11 gastrointestinal pathogens is considered MEDICALLY NECESSARY ONLY in immunosuppressed or HIV positive patients who ALSO have any of the following situations* (See Note 1):
    1. Community-acquired diarrhea of ≥ 7 days duration; or
    2. Diarrhea with signs or risk factors for severe disease (fever, bloody diarrhea, dysentery, dehydration, severe abdominal pain, hospitalization and/or immunocompromised state).
  3. Multiplex PCR-based panel testing of up to 5 respiratory pathogens is considered MEDICALLY NECESSARY for patients displaying signs and symptoms of a respiratory tract infection, including at least one of the following:
    1. A temperature ≥ 102°F  
    2. Pronounced dyspnea, 
    3. Tachypnea, or
    4. Tachycardia.
  4. In the outpatient setting, multiplex PCR-based panel testing of 12 or MORE gastrointestinal pathogens is considered NOT MEDICALLY NECESSARY.
  5. In the outpatient setting, multiplex PCR-based panel testing of 6 or MORE respiratory pathogens is considered NOT MEDICALLY NECESSARY.
  6. In the outpatient setting, multiplex PCR-based panel testing of pathogens in CSF is considered NOT MEDICALLY NECESSARY
  7. In the outpatient setting, molecular detection-based panel testing of pathogens in the blood is considered NOT MEDICALLY NECESSARY

The following does not meet coverage criteria due to a lack of available published scientific literature confirming that the test(s) is/are required and beneficial for the diagnosis and treatment of a patient’s illness.

  1. Using molecular-based panel testing for general screening of microorganisms is considered NOT MEDICALLY NECESSARY. These tests include, but are not limited to the following:
    1. Molecular-based panel testing on stool samples, such as SmartGut™
    2. Molecular-based panel testing of vaginal swabs, such as SmartJane™
    3. Molecular-based panel testing on urine samples, such as UroSwab®
  2. Molecular detection-based panel testing of urine pathogens for the diagnosis of urinary tract infections is considered NOT MEDICALLY NECESSARY
  3. In the outpatient setting, using molecular-based panel testing to screen for or diagnose wound infections (i.e., skin/soft tissue infections), including diagnostic testing to confirm biofilm presence, is considered NOT MEDICALLY NECESSARY

Note 1:  According to CMS LCD L37766, “A GIP test panel is a single service with a single unit of service (UOS = 1). A panel cannot be unbundled and billed as individual components regardless of the fact that the GIP test reports multiple individual pathogens and/or targets. The panel is a closed system performed on a single platform, and as such, is a single test panel with multiple components (UOS = 1). If C. difficile is not included in a GIP panel, testing for C. difficile may be reasonable and necessary when ordered in addition to a GIP bacterial pathogen panel and supported by documentation in the medical record” (CMS, 2022).

Rationale 
There has been a move in recent years towards employing molecular tests that use multiplex polymerase chain reaction (PCR) to simultaneously detect multiple pathogens associated with an infectious disease rather than one particular organism. These tests are usually offered as a panel for a particular infectious condition, such as sepsis and blood stream infections, central nervous system infections (for example, meningitis and encephalitis), respiratory tract infections, urinary tract infections or gastrointestinal infections. These assays are often more sensitive than conventional culture-based or antigen detection. The high diagnostic yield is particularly important when clinical samples are difficult to collect or are limited in volume (e.g., CSF). Multiplex PCR assays are also particularly beneficial when different pathogens can cause the same clinical presentation, thus making it difficult to narrow down the causative pathogen. Access to comprehensive and rapid diagnostic results may lead to more effective early treatment and infection-control measures. Disadvantages of multiplex PCR assays include high cost of testing and potential false negative results due to preferential amplification of one target over another (Palavecino, 2015). 

The Centers for Medicare and Medicaid Services (CMS) report that the top target pathogens causing infections include Salmonella, Campylobacter, Shigella, Cryptosporidium, Shiga toxin producing E. coli non-O157 and Shiga toxin producing E. coli O157; these pathogens “represent the top 90% – 95% of foodborne infections [incidence of infection per 100,000 population]” (CMS, 2022).

Proprietary Testing
Gastrointestinal Pathogen Panel

Approximately 1.7 billion cases of childhood diarrheal disease occur worldwide every year, resulting in about 525,000 deaths in children younger than five years of age annually (WHO, 2017). The Centers for Disease Control and Prevention (CDC) has estimated that nearly 48 million cases of acute diarrheal infection occur annually in the United States, at an estimated cost upwards of $150 million (Scallan, Griffin, Angulo, Tauxe, & Hoekstra, 2011). Approximately 31 major pathogens acquired in the United States caused an estimated 9.4 million episodes of diarrheal illness, 55,961 hospitalizations, and 1,351 deaths each year. Additionally, unspecified agents caused approximately 38 million episodes of foodborne illnesses and resulted in 71,878 hospitalizations and 1,686 deaths. Diarrhea can be classified as acute (lasting less than 14 days), persistent (14 and 30 days), and chronic (lasting for greater than a month) (Riddle, DuPont, & Connor, 2016). Further, healthcare and antibiotic associated diarrhea are mainly caused by toxin-producing Clostridium difficile causing more than 300,000 cases annually (CMS, 2022).

Acute infectious gastroenteritis is generally associated with other clinical features like fever, nausea, vomiting, severe abdominal pain and cramps, flatulence, bloody stools, tenesmus, and fecal urgency. A wide spectrum of enteric pathogens can cause infectious gastroenteritis, including bacteria such as Campylobacter, Clostridium difficile, Salmonella, Shigella, Vibrio, and Yersinia; viruses, such as Norovirus, Rotavirus, Astrovirus, and Adenovirus; and parasites, such as Giardia, Entamoeba histolytica, and Cryptosporidium (Riddle et al., 2016).

Stool culture is the primary diagnostic tool for a suspected bacterial infection, but it is time-consuming and labor intensive. Stool samples are collected and analyzed for various bacteria present in the lower digestive tract via cell culture; these bacteria may be normal or pathogenic (Humphries & Linscott, 2015). By identifying the type of bacteria present in a stool sample, a physician will be able to determine if the bacteria are causing gastrointestinal problems in an individual. However, stool culture has a low positive yield. Similarly, methods like electron microscopic examination and immunoassay that are used to diagnose viruses are labor intensive and need significant expertise (Zhang, Morrison, & Tang, 2015). Multiplex PCR-based assays have shown superior sensitivity to conventional methods for detection of enteric pathogens and are increasingly used in the diagnosis of infectious gastroenteritis. These assays have significantly improved workflow and diagnostic output in the diagnosis of gastrointestinal infections (Zhang et al., 2015). Several FDA-approved multiplex PCR assays are now commercially available. Some assays can detect only bacterial pathogens in stool, whereas others can detect bacterial, viral, and parasitic pathogens. The Strong-LAMP assay is a technique which uses PCR to detect Strongyloides stercoralis in stool and urine samples (Fernandez-Soto et al., 2016), although it is not yet widely available (La Hoz & Morris, 2019).

Proprietary panels are available for the assessment of gastrointestinal pathogens. BioFire Diagnostics offers an FDA-approved 22-target testing panel for the gastroenteritis, termed the BioFire FilmArray Gastrointestinal Panel. The panel’s bacteria targets include Campylobacter, Clostridium difficile, Plesiomonas shigelloides, Salmonella, Yersinia enterocolitica, Vibrio (parahaemolyticus, vulnificus, and cholerae), and Vibrio cholerae. The panel’s diarrheagenic E. coli and Shigella targets include Enteroaggregative E. coli, Enteropathogenic E. coli, Enterotoxigenic E. coli, Shiga-like toxin-producing E. coli stx1/stx2, E. coli O157, and Shigella/Enteroinvasive E. coli. The panel’s parasite targets include Cryptosporidium, Cyclospora cayetanensis, Entamoeba histolytica, and Giardia lamblia. The panel’s virus targets include Adenovirus F40/41, Astrovirus, Norovirus GI/GII, Rotavirus A, and Sapovirus (I, II, IV, and V) (BioFire, 2022b). The manufacturer claims a sensitivity of 98.5% and specificity of 99.2% for this test and states that results are available within one hour of testing. However, BioFire notes that the test has not been evaluated for immunocompromised patients (BioFire, 2022b). 

The FDA-approved xTAG Gastrointestinal Pathogen Panel, developed by Luminex, can simultaneously identify multiple bacterial, viral, and parasitic nucleic acids in both fresh and frozen human stool samples. This test can provide results in as little as five hours, and can “detect and identify > 90% of the causative bacterial, viral, and parasitic agents of gastroenteritis in the same day” (Luminex, 2022b). The xTAG Gastrointestinal Pathogen Panel is able to identify Campylobacter, Clostridium difficile, Toxin A/B, Escherichia coli O157, Enterotoxigenic E.coli (ETEC) LT/ST, Shiga-like Toxin producing E.coli (STEC) stx1/stx2, Salmonella, Shigella, Vibrio cholerae, Yersinia enterocolitica, Adenovirus 40/41, Norovirus GI/GII, Rotavirus A, Cryptosporidium, Entamoeba histolytica, and Giardia (Luminex, 2022b).

The Biocode Gastrointestinal Pathogen Panel is an FDA approved test that uses a 96-well microplate to simultaneously detect 17 diarrhea causing pathogens (Campylobacter, Clostridium difficile toxins A and B, E. coli O157, Enterotoxigenic E. coli LT/ST (ETEC), Enteroaggregative E. coli (EAEC), Salmonella, Shiga-like toxin producing E. coli stx1/stx2, Shigella/Enteroinvasive E. coli, Vibro/Vibro parahemolyticus, Yersinia enterocolitica, Adenovirus 40/41, Norovirus GI/GII, Rotavirus A, Cryptosporidium, Entamoeba histolytica, and Giardia lamblia) in stool samples (BioCode, 2022a). This rapid multiplex screening assay is low cost and may be helpful with infection control.

Respiratory Pathogen Panel
Upper respiratory tract infections (involving the nose, sinuses, larynx, pharynx, and large airways) can be caused by a variety of viruses and bacteria. These infections may lead to several different patient ailments such as the common cold, acute bronchitis, influenza, and respiratory distress syndromes. Regarding the common cold, the most common virus is rhinovirus; the bacteria that most commonly causes a sore throat (pharyngitis) is Streptococcus pyogenes (Thomas & Bomar, 2020). Lower respiratory tract infections occur in the lungs and any airways below the larynx. Lower respiratory infections include pneumonia, bronchitis, tuberculosis and bronchiolitis (Hansen, Lykkegaard, Thomsen, & Hansen, 2020). 

Traditional methods used for the diagnosis of viral respiratory tract infections are direct antigen testing (non-immunofluorescent and immunofluorescent methods) and conventional and rapid cell culture (Ginocchio, 2007). These tests have several limitations including a slow turnaround time, low sensitivity, and labor-intensive processes. Acute respiratory infections may also be diagnosed by a simple respiratory exam, i.e., the physician focuses on the patient’s breathing and checks for fluid and inflammation in the lungs. Symptoms of a respiratory tract infection may include a stuffed nose, cough, fever, sore throat, headache, and difficulty breathing. Chest X-rays may be used to check for pneumonia, and blood/mucus samples may be used to confirm the presence of certain bacteria and/or viruses via cell culture. The doctor may also check the ears, nose, and throat. Treatment typically incorporates over the counter medications, rest, fluids, and antibiotics (if a bacterial infection is identified).

Considerable progress has been made in the development of molecular methods to detect multiple respiratory pathogens simultaneously. Molecular detection, including multiplex PCR assays, is currently the gold standard for viral respiratory diagnosis (Bonnin et al., 2016). Multiplex PCR-based assays are now commercially available to detect several viral pathogens like adenovirus, influenza A and respiratory syncytial virus as well as bacterial pathogens like Mycoplasma pneumoniae, Chlamydophila pneumoniae, and Legionella pneumophila. These tests are rapid, sensitive, specific, and the preferred testing method to identify most respiratory pathogens (Caliendo, 2011; Pammi, 2019; Yan, Zhang, & Tang, 2011). These tests may be a more reliable diagnostic test as they can be performed in just hours, do not require as large a volume of blood, and are not affected by antepartum antibiotics (Pammi, 2019). 

BioFire has updated their FDA approved respiratory panel tests, the FilmArray RP and RP2, to become the FilmArray RP2.1 panel test. The new test, RP2.1, has added SARS-CoV-2 as a target compared to the previous versions of the respiratory panels (BioFire, 2022d). The prior FilmArray RP2.1 is able to detect 18 viral (Adenovirus, Coronavirus HKU1, Coronavirus NL63, Coronavirus 229E, Coronavirus OC43, Severe Acute Respiratory Syndrome Coronavirus 2, Human Metapneumovirus, Human Rhinovirus/Enterovirus, Influenza A, Influenza A/H1, Influenza A/H3, Influenza A/H1-2009, Influenza B, Parainfluenza Virus 1, Parainfluenza Virus 2, Parainfluenza Virus 3, Parainfluenza Virus 4, Respiratory Syncytial Virus) and 4 bacterial (Bordetella parapertussis, Bordetella pertussis, Chlamydia pneumoniae and Mycoplasma pneumoniae) targets. This FilmArray RP2.1 panel test can detect the 22 targets in 45 minutes with a  97.1% sensitivity and 99.3% specificity (BioFire, 2022d).

GenMark Diagnostics has developed FDA-approved rapid ePlex® Respiratory Pathogen Panel (RP) and Respiratory Pathogen Panel 2 (RP2) tests. They can identify the most common bacterial and viral pathogens causing upper respiratory infections. The RP test can detect pathogens including Adenovirus, Coronavirus (229E, HKU1, NL63, OC43), Human Metapneumovirus, Human Rhinovirus/Enterovirus, Influenza A, Influenza A H1, Influenza A H1-2009, Influenza A H3, Influenza B, Parainfluenza 1, Parainfluenza 2, Parainfluenza 3, Parainfluenza 4, Respiratory Syncytial Virus A, Respiratory Syncytial Virus B, Chlamydia pneumoniae, and Mycoplasma pneumoniae. The RP2 test will detect the same pathogens along with SARS-CoV-2 (GenMark, 2022b). The ePlex® Respiratory Pathogen Panel test was more efficient than a laboratory developed PCR assay resulting “in a significant decrease in time to result, enabling a reduction in isolation days in half of the patients,” and increasing the identification of the causative pathogen (van Rijn et al., 2018).

The BioCode Respiratory Pathogen Panel is the FDA approved low-cost test that can simultaneously detect respiratory pathogens in nasopharyngeal swabs. This test is designed in a 96-well microplate format. The following 14 pathogens can be identified with this panel:  Adenovirus, Coronavirus (229E, OC43, HKU1, and NL63), Human Metapneumovirus A/B, Influenza A, including subtypes H1, H1 2009 Pandemic, and H3, Influenza B, Parainfluenza 1, Parainfluenza 2, Parainfluenza 3, Parainfluenza 4, Respiratory Syncytial Virus A/B, Rhinovirus/Enterovirus, Bordetella pertussis, Chlamydia pneumoniae and Mycoplasma pneumoniae (BioCode, 2022b).

The NxTAG Respiratory Pathogen Panel, developed by Luminex, is able to simultaneously detect 20 pathogens (Influenza A, Influenza A H1, Influenza A H3, Influenza B, Respiratory Syncytial Virus A, Respiratory Syncytial Virus B, Rhinovirus/Enterovirus, Parainfluenza virus 1, Parainfluenza virus 2, Parainfluenza virus 3, Parainfluenza virus 4, Human Metapneumovirus, Adenovirus, Coronavirus HKU1, Coronavirus NL63, Coronavirus 229E, Coronavirus OC43, Human Bocavirus, Chlamydophila pneumoniae and Mycoplasma pneumoniae) in a single test. The CE Marked panel also detects Legionella pneumophila (Luminex, 2022a).

QIAGEN Science has developed the QIAstat-Dx Respiratory SARS-CoV-2 Panel, which is authorized by the FDA under an Emergency Use Authorization (EUA). It can detect the SARS-CoV-2 virus along with 20 other respiratory pathogens, including Adenovirus, Coronavirus 229E, Coronavirus HKU1, Coronavirus NL63, Coronavirus OC43, Human Metapneumovirus A+B, Influenza A, Influenza A H1, Influenza A H3, Influenza A H1N1/pdm09, Influenza B, Parainfluenza virus 1, Parainfluenza virus 2, Parainfluenza virus 3, Parainfluenza virus 4, Rhinovirus/Enterovirus, Respiratory Syncytial Virus A+B, Bordetella pertussis, Chlamydophila pneumoniae, and Mycoplasma pneumoniae. It is able to provide qualitative results within an hour and is for in vitro diagnostic use (QIAGEN, 2022). When compared with the currently WHO-recommended RT-PCR (WHO-RT-PCR), the QIAstat-Dx Respiratory Panel had a 97% agreement with the WHO-RT-PCR and a sensitivity of 100% and specificity of 93% (Visseaux et al., 2020). 

Central Nervous System Panel
The brain is well protected from microbial invasion via the blood-brain barrier (BBB) and blood-cerebrospinal fluid barrier (BCSFB). Nonetheless, bacteria, fungi, viruses, and amoebae can infect the brain and the consequences are often fatal. Points of entry include the BBB, BCSFB, and the olfactory and trigeminal nerves (Dando et al., 2014). Meningitis, which is when the brain and/or spinal cord become inflamed, is typically caused by viral infections due to enteroviruses; other neurotropic viruses include herpes simplex viruses, human cytomegalovirus, varicella-zoster virus, and rabies virus  (Dando et al., 2014). In the United States, bacterial meningitis is most commonly caused by Streptococcus pneumoniae, group B Streptococcus, Neisseria meningitidis, Haemophilus influenzae, Listeria monocytogenes, and Escherichia coli (CDC, 2021a). Fungal meningoencephalitis, which is described as inflammation of the brain and surrounding membranes, is often caused by Cryptococcus, Histoplasma, Blastomyces, Coccidioides, and Candida (CDC, 2021c). Meningococcal meningitis is typically caused by Neisseria meningitidis (CDC, 2022). Other types of pathogens may enter the central nervous system. The increasing use of molecular tests for the detection of pathogens in cerebrospinal fluid (CSF) has redefined the diagnosis and management of central nervous system (CNS) infections such as meningitis and encephalitis. However, it is important that test results correlate to the probability of infection. According to Petti and Polage (2019), the number of false-positive test results increase when the multiplex PCR tests are ordered in the absence of an elevated leukocyte count or elevated protein level in the CSF. Hence, the predictive value of the test increases when the tests are ordered only for those patients with a moderate to high pretest probability of having CNS infections based on clinical presentation and CSF findings (Petti & Polage, 2019).

The evaluation of meningitis routinely includes molecular testing, particularly when the patient is suspected to have viral meningitis. Although use of Gram stain and culture is the gold standard for diagnosis of bacterial meningitis, multiplex PCR assays may be useful as an adjunct, especially in patients who have already received antibiotic treatment. Other lab findings (for example, CSF cell count, glucose, and protein analyses) should be used as a screening method prior to the performance of molecular testing. Molecular assays for meningitis caused by fungi, parasites, rickettsia, and spirochetes are in development at this time (Petti & Polage, 2019).

Similarly, molecular testing of CSF is recommended when viral encephalitis, especially encephalitis due to Herpesviridae, is suspected. For other viral encephalitis, the clinical sensitivity and predictive value of multiplex-PCR assays is unknown. Therefore, a negative result does not exclude infection, and a combined diagnostic approach, including other methods like serology, may be necessary to confirm the diagnosis. Multiplex PCR-based assays may be useful in certain cases of bacterial meningitis, especially when a slow-growing or uncultivable bacterium like Coxiella burnetti is involved. Molecular assays for encephalitis caused by fungi, parasites, rickettsia, and spirochetes need to be investigated further and are not routinely available at this time (Petti & Polage, 2019).

The FDA approved BioFire FilmArray meningitis/encephalitis panel can provide information on 14 different pathogens in one hour. This test uses 0.2 mL of cerebrospinal fluid, and is able to detect bacteria (Escherichia coli K1, Haemophilus influenzae, Listeria monocytogenes, Neisseria meningitidis, Streptococcus agalactiae, and Streptococcus pneumoniae), viruses (Cytomegalovirus, Enterovirus, Herpes simplex virus 1, Herpes simplex virus 2, Human herpesvirus 6, Human parechovirus, and Varicella zoster virus) and yeast (Cryptococcus neoformans/gattii) (BioFire, 2022c). BioFire states that this panel has an overall sensitivity of 94.2% and a specificity of 99.8% (BioFire, 2022c).

Sepsis Panel
Sepsis, also known as blood poisoning, is the body’s systemic immunological response to an infection. Sepsis occurs when an infection (in the lungs, skin, urinary tract or another area of the body) triggers a chain reaction in an individual (CDC, 2021d). Sepsis can lead to end-stage organ failure and death. Septic shock occurs when sepsis results in extremely low blood pressure and abnormalities in cellular metabolism. The annual incidence of severe sepsis and septic shock in the United States is 300 per 100,000 people; sepsis is “the most expensive healthcare problem in the United States” (Gyawali, Ramakrishna, & Dhamoon, 2019).

Sepsis-related mortality remains high, and inappropriate antimicrobial and anti-fungal treatment is a major factor contributing to increased mortality (Liesenfeld, Lehman, Hunfeld, & Kost, 2014). Blood culture is the standard of care for detecting bloodstream infections, but the method has several limitations (Lamy, Sundqvist, & Idelevich, 2020). Fastidious, slow-growing, and uncultivable organisms are difficult to detect by blood culture, and the test sensitivity decreases greatly when antibiotics have been given prior to culture. Additionally, culture and susceptibility testing may require up to 72 hours to produce results. Multiplex PCR assays of positive blood culture bottles have a more rapid turnaround time and are not affected by the administration of antibiotics. Faster identification and resistance characterization of pathogens may lead to earlier administration of the appropriate antibiotic, resulting in better outcomes, and may lessen the emergence of antibiotic-resistant organisms (Banerjee et al., 2015). 

The T2Bacteria Panel is the first “FDA-cleared test to identify sepsis-causing bacteria directly from whole blood without the wait for blood culture (T2Biosystems, 2022).” This panel is able to identify 50% of all bloodstream infections, 90% of all ESKAPE bacteria (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli) pathogens, and 70% of all blood culture species identified in the emergency room with a 95% sensitivity and 98% sensitivity (T2Biosystems, 2022).

The Magicplex™ Sepsis Real-time Test by Seegene can identify more than 90 sepsis-causing pathogens with only 1 mL of whole blood. This test identifies both bacteria and fungi, as well as three drug resistance markers in only six hours (Seegene, 2020, 2022).

GenMark has developed three ePlex® Blood Culture Identification (BCID) Panels. These include the ePlex BCID-Gram Positive Panel (identifies 20-gram positive bacteria and four resistance genes), the ePlex BCID-Gran Negative Panel (identifies 21-gram negative bacteria and six resistance genes), and the ePlex BCID-Fungal Panel (identifies 15-fungal organisms) (GenMark, 2022a).

BioFire has developed the FDA-cleared FilmArray Blood Culture Identification Panel (BCID). The original panel could identify 24 targets, but the newly expanded BCID2 panel can identify 43 targets. Targets include gram-positive bacteria (Enterococcus faecalis, Enterococcus faecium, Listeria monocytogenes, Staphylococcus, Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus lugdunensis, Streptococcus, Streptococcus agalactiae, Streptococcus pneumoniae, Streptococcus pyogenes), gram-negative bacteria (Acinetobacter calcoaceticus-baumannii complex, Bacteroides fragilis, Enterobacterales, Enterobacter cloacae complex, Escherichia coli, Klebsiella aerogenes, Klebsiella oxytoca, Klebsiella pneumoniae group, Proteus, Salmonella, Serratia marcescens, Haemophilus influenzae, Neisseria meningitidis, Pseudomonas aeruginosa, Stenotrophomonas maltophilia), yeast (Candida albicans, Candida auris, Candida glabrata, Candida krusei, Candida parapsilosis, Candida tropicalis, Cryptococcus neoformans/gattii), and antimicrobial resistance genes (BioFire, 2022a). 

Urinary Tract Infection Panel
Urinary tract infections (UTIs) occur in the urinary system and can be either symptomatic or asymptomatic. UTIs can include cystitis, an infection of the bladder or lower urinary tract, pyelonephritis, an infection of the upper urinary tract or kidney, urosepsis, urethritis, and male-specific conditions, such as bacterial prostatitis and epididymitis (Bonkat et al., 2021; Hooton & Gupta, 2021). Typically, in an infected person, bacteriuria and pyuria (the presence of pus in the urine) are present and can be present in both symptomatic and asymptomatic UTIs. A urine culture can be performed to determine the presence of bacteria and to characterize the bacterial infection (Meyrier, 2019). 

Panels comprising common UTI pathogens are now commercially available. Firms such as MicroGenDX and NovaDX offer panels consisting of many different pathogens involved in UTIs (MicroGenDX, 2019a; NovaDX, 2022). The NovaDX is a qPCR based test which can detect 17 pathogens including bacteria (Acinetobacter baumannii, Citrobacter freundii,  Enterobacter aerogenes, Enterobacter cloacae, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Klebsiella oxytoca, Klebsiella pneumoniae, Morganella morganii, Proteus mirabilis, Proteus vulgaris, Providencia stuartii, Pseudomonas aeruginosa, Staphylococcus saprophyticus, and Streptococcus agalactiae) and yeast (Candida albicans) (NovaDX, 2022).

Cardwell, Crandon, Nicolau, McClure, and Nailor (2016) evaluated the microbiology of UTIs in hospitalized adults. Approximately 308 patients were included, with a total of 216 identified pathogens. The authors separated patients into three groups; “community acquired (Group 1); recent healthcare exposure (Group 2); or a history of identification of an extended-spectrum beta lactamase (ESBL)-producing organism (Group 3).” Escherichia coli was found to be the most common pathogen, but the frequency differed between groups. Other commonly identified pathogens included Pseudomonas aeruginosa (Cardwell et al., 2016).

Medina and Castillo-Pino (2019) estimated the prevalence of certain pathogens in UTI (complicated or uncomplicated). The authors found that up to 75% of uncomplicated UTIs and up to 65% of complicated UTIs are caused by uropathogenic Escherichia coli (UPEC). Other commonly seen pathogens included Enterococcus spp, Group B Streptococcus, K. pneumonia, and S. saprophyticus (Medina & Castillo-Pino, 2019).

Wound Panel
Wounds (acute or chronic) are almost always colonized by microbes, thereby leading to a significant rate of infection. Panel testing many pathogens have been proposed as a method to quickly identify and therefore treat a wound infection (Armstrong & Meyr, 2021). These panels may be culture-based or nucleic acid-based; nucleic acid panels are typically touted for their speed compared to culture panels. 

Firms, such as GenetWorx, Viracor, and MicroGenDX, offer comprehensive panels addressing many different common pathogens, resistance genes, and more. Genera, such as Streptococcus, Enterococcus, and Staphlococcus are frequent targets of these panels. Different combinations of panels are available (GenetWorx, 2022; MicroGenDX, 2019b; Viracor, 2022).

The Wounds Pathogen Panel by GenetWorx can identify 30 targets including bacteria, fungi, and viruses. Targeted pathogens include Enterococcus faecalis, Enterococcus faecium, Methicillin Resistant Staphylococcus aureus (MRSA), Methicillin Sensitive Staphylococcus aureus (MSSA), Staphylococcus epidermidis, Streptococcus pyogenes (Group A Strep), Streptococcus agalactiae (Group B Strep), Streptococcus dysgalactiae (Group C Strep), Acinetobacter baumannii, Bacteroides fragilis, Bartonella henselea, Bartonella quintana, Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, Morganella morganii, Proteus mirabilis, Pseudomonas aeruginosa, Bartonella Quintana, Serratia marcescens, Candida albicans, Candida glabrata, Candida parapsilosis, Candida dubliniensis, Candida tropicalis, Candida krusei, Tricophyton metagrophytes, Trichophyton rubrum, Aspergillus fumigatus, Mycobacterium fortuitum, Herpes Simplex Virus 1, Herpes Simplex Virus 2, and Herpes Simplex Virus 3 (GenetWorx, 2022).

The Viracor Skin and Soft Tissue Infection Panel can identify 19 bacterial targets using TEM-PCRTM (Target Enriched Multiplex Polymerase Chain Reaction). These bacterial targets include Acinetobacter baumannii, Bacteroides spp., Citrobacter freundii, Clostridium novyi/septicum, Clostridium perfringens, Enterobacter aerogenes, Enterobacter cloacae, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Kingella kingae, Klebsiella spp., Morganella morganii, Proteus mirabilis, Proteus vulgaris, Staphylococcus aureus, MRSA- Meth. resistant S. aureus, Panton-Valentine leukocidin gene, Staphylococcus lugdunensis, Streptococcus pyogenes (Group A) and Pseudomonas aeruginosa. This test has not been approved by the FDA and has a two to three day turnaround time (Viracor, 2022).

Ray, Suaya, and Baxter (2013) described the incidence and microbiology of skin and soft tissue infections (SSTIs). The authors focused on members of a Northern California health plan, identifying 376262 patients with 471550 SSTIs. Approximately 23% of these infections were cultured, 54% of these cultures were pathogen-positive, and Staphylococcus aureus was found in 81% of these specimens. The researchers calculated the rate of diagnosed SSTIs to be 496 per 10000 person-years (Ray et al., 2013).

A comprehensive list of the main commercial pathogen panel tests mentioned above can also be found in the table below. This table was last updated on 03/07/2022.

Commercial Pathogen Panel Tests

Type of Panel

Name

Pathogens Identified

Gastrointestinal

BioFire FilmArray Gastrointestinal Panel

22 targets including bacteria, parasites, and viruses

Gastrointestinal

Luminex xTAG Gastrointestinal Pathogen Panel

15 targets including bacteria, parasites, and viruses

Gastrointestinal

Biocode Gastrointestinal Pathogen Panel

17 targets including bacteria, parasites, and viruses

Respiratory

BioFire FilmArray Respiratory 2.1 (RP2.1) Panel

22 targets including viruses and bacteria

Respiratory

GenMark Diagnostics Rapid ePlex® Respiratory Pathogen Panel

17+ targets including viruses and bacteria

Respiratory

GenMark Diagnostics Rapid ePlex® Respiratory Pathogen 2 Panel

21 targets including viruses and bacteria

Respiratory

BioCode Respiratory Pathogen Panel

14 targets including viruses and bacteria

Respiratory

Luminex NxTAG Respiratory Pathogen Panel

20 targets including viruses and bacteria

Respiratory

QIAGEN Sciences QIAstat-Dx Respiratory Pathogen Panel

21 targets including viruses and bacteria

Central Nervous System

BioFire FilmArray Meningitis/ Encephalitis Panel

14 targets including bacteria, viruses and yeast

Sepsis

T2Bacteria Panel

5 ESKAPE pathogens and potentially more targets

Sepsis

Magicplex™ Sepsis Real-time Test

90+ including bacteria and fungi

Sepsis

GenMark ePlex® Blood Culture Identification Panel (Gram-positive, Gram-negative and fungal)

Collectively identify 56 bacteria and fungi

Sepsis

BioFire Blood Culture

43 targets including bacteria and yeast

Urinary Tract Infection

NovaDX UTI Test

17 targets including bacteria and yeast

Wound

GenetWorx Wounds Pathogen Panel

30 targets including bacteria, fungi and viruses

Wound

Viracor Skin and Soft Tissue Infection Panel

19 bacterial targets

Clinical Utility and Validity
Several studies demonstrated the overall high sensitivity and specificity of the gastroenterology pathogen panels (Buss et al., 2015; Claas, Burnham, Mazzulli, Templeton, & Topin, 2013; Onori et al., 2014). Several studies have also indicated that gastrointestinal pathogen panels are more sensitive than culture, microscopy, or antigen detection, thus illustrating the potential of panels as a diagnostic tool for gastrointestinal infections (Buss et al., 2015; Couturier, Lee, Zelyas, & Chui, 2011; Humphrey et al., 2016; Liu et al., 2014; Operario & Houpt, 2011). Zhang and colleagues concluded that using multiplex PCR assays in the work-up of infectious gastroenteritis has the potential to improve the diagnosis (Zhang et al., 2015). 

Numerous studies have examined the clinical utility of the BioFire FilmArray GI Panel. Stockmann et al. (2015) focused on comparing the accuracy in detecting etiologic agents, particularly Clostridioides difficile, in stool specimen of pediatric patients with diarrhea between the FilmArray GI Panel with various standard laboratory methods performed at the discretion of the physician. They found that “a potential aetiologic agent was identified in 46% of stool specimens by standard laboratory methods and in 65% of specimens tested using the FilmArray GI Panel (P < 0.001).” This FilmArray GI Panel was also able to detect concurrent infections by diarrheal pathogens other than C.difficile, including norovirus in 12% of supposed C. difficile-only testing cases. The FilmArray GI Panel also detected a pathogen in 63% of cases without additional C. difficile testing performed, and even detected C .difficile in 8% of those cases. These results proved the FilmArray GI Panel to be critical in detecting other diarrheal pathogens, and co-infections with other infectious diarrheagenic agents (Stockmann et al., 2015). 

Similar results for the FilmArray GI Panel were found in another study for acute diarrhea. In conducting a prospective study, Cybulski et al. (2018) found that FilmArray detected pathogens at a higher rate than culture and at a faster time (35.3% in 18 hours versus 6.0% in 47 hours). This rapidity and accuracy also allowed patients to receive targeted therapy and facilitated quicker discontinuation of empirical antimicrobial therapy, demonstrating an improved clinical sensitivity with the FilmArray GI Panel when compared to culture (Cybulski et al., 2018). Beal, Tremblay, Toffel, Velez, and Rand (2018) investigated the impact of submitting patient stool specimen for testing by the FilmArray GI panel (“cases”) and compared overall findings with control patients from the year prior. The researchers concluded that this panel contributed to reducing the number of days on antibiotics (1.73 days among cases versus 2.12 days among controls), reducing “average length of time from stool culture collection to discharge” (3.4 days among cases vs 3.9 days among controls), and reducing overall health care cost by $293.61. They also found results like the previous studies on the FilmArray GI panel, with increased comprehensiveness of detectable pathogens, and eliminating unnecessary testing and antibiotic use (Beal et al., 2018). 

Axelrad et al. (2019) performed a retrospective comparative analysis of patients who underwent testing with the FilmArray GI panel from 2015 – 2017 and those who solely underwent conventional stool testing from 2012 – 2015. The FilmArray GI panel detected more pathogens (29.2% positive cases vs. 4.1%) and reduced the need for additional endoscopic procedures and abdominal radiology imaging within 30 days following stool testing, as well as reduced chances of antibiotic prescription within 14 days following stool testing. The amassed literature communicates the great clinical utility and extended benefits from a multiplex PCR panel like the FilmArray GI Panel.

Zhan et al. (2020) performed a comparison of the BioFire FilmArray gastrointestinal panel and the Luminex xTAG Gastrointestinal Pathogen Panel for detecting diarrheal pathogens in China in a total of 243 diarrhea specimens. These two panels were highly consistent in detecting norovirus, rotavirus, and Campylobacter, but had low consistency in detecting Cryptosporidium, Salmonella, Shiga-toxin producing Escherichia coli (STEC) and enterotoxigenic Escherichia coli (ETEC). The BioFire FilmArray panel was found to be more sensitive, but the Luminex xTAG Gastrointesinal Pathogen Panel was more specific. There appeared to be additional concern for how the Luminex xTAG Gastrointesinal Pathogen Panel yielded more false negatives when detecting ETEC as well (Zhan et al., 2020). 

Jo et al. (2021) evaluated the use of the BioFire FilmArray gastrointestinal panel for pediatric patients with diarrhea. The authors compared the FilmArray GI panel results to conventional PCR for E. Coli and Allplex GI-Bacteria Assay results. 184 stool samples were tested. “The BioFire GI Panel demonstrated a sensitivity of 100% for 12 targets and a specificity of > 95% for 16 targets.” The authors conclude that the FilmArray GI panel is useful for rapid identification of enteropathogenesis in pediatric patients (Jo et al., 2021). 

Truong et al. (2021) investigated pediatric healthcare management before and after BioFire FilmArray gastrointestinal panel results were received. The study included 172 children, 120 of which had positive results. Based on the FilmArray GI panel results, the healthcare management plan changed for 23% of patients, including changes to antibiotic treatments, hospitalizations, room isolations, prescription changes, and test cancelations. The authors conclude that the FilmArray GI panel results impacted healthcare management, especially related to antibiotic treatment (Truong et al., 2021). Yoo at al. (2021) also studied the health care management of children with acute diarrhea using the BioFire FilmArray gastrointestinal panel. 182 patients were included in the study. “A significant reduction in antibiotic use was observed in the prospective cohort compared to historical cohort, 35.3% vs. 71.8%; p < 0.001), respectively.” The authors conclude that, likely due to the high positive rate and rapid reporting, the FilmArray GI panel was clinically beneficial for children, especially in reducing antibiotic use and enabling early precaution and isolation (I. H. Yoo et al., 2021). 

Nijhuis, Guerendiain, Claas, and Templeton (2017) compared the GenMark Diagnostics ePlex Respiratory Pathogen panel with laboratory-developed real-time PCR assays for detecting respiratory pathogens. The study included 343 clinical specimens. The RP panel found an agreement of 97.4% with the real-time PCR assay regarding 464 pathogens found. The RP panel detected 17 more pathogens than the real-time PCR, showing that this panel could improve the efficiency of diagnostic “sample-to-answer testing” and cost-effectiveness, despite potentially costing more (Nijhuis et al., 2017).  

van Asten et al. (2021) evaluated the performance of the GenMark Diagnostics ePlex Respiratory Pathogen panel and the QIAGEN Sciences QIAstat-Dx Respiratory Pathogen panel. The authors specifically studied the detection of three bacterial targets: Legionella pneumophila, Mycoplasma pneumoniae and Bordetella pertussis. The study included 56 specimens taken form the lower respiratory tract, five of which were negative and the other 51 had previously tested positive on real-time PCR assays for the targets. “The QIAstat-Dx Respiratory Panel V2 (RP) assay detected all of the L. pneumophila and B. pertussis positive samples but only 11/15 (73.3%) of the M. pneumoniae targets. The ePlex Respiratory Pathogen Panel (RPP) assay detected 10/14 (71.4%) of the L. pneumophila targets, 8/12 (66.7%) of the B. pertussis positive samples and 13/15 (86.7%) of the M. pneumoniae targets.” The authors concluded that the clinical performance of both panels depend on the bacterial lode and sample type (van Asten, Boers, de Groot, Schuurman, & Claas, 2021). 

Mormeneo Bayo et al. (2022) compared real-time PCR with microscopy in detecting intestinal protozoa in children. The study used the Seegene Allplex Gastrointestinal panel for the real-time PCR. 500 stool samples were analyzed from children, 15 years of age and under, and grouped into two classifications based on if the children had or had not had clinical parasitosis. Based on microscopy, 6.2% of samples were positive. Based on real-time PCR, 51.2% of samples were positive. The authors concluded that “real-time PCR increases the detection of intestinal protozoa, being underdiagnosed by microscopy, especially D. fragilis, in which PCR is considered the most appropriate method for its detection” (Mormeneo Bayo et al., 2022).

Trujillo-Gómez (2022) studied the diagnostic test accuracy of the FilmArray Meningitis/Encephalitis panel. The authors performed a systematic review of 19 studies containing a total of 11,251 participants, and performed a random-effects bivariate meta-analysis of diagnostic test accuracy. Using CSF/blood samples, the sensitivity was estimated to be 89.5% and the specificity was estimated to be 97.4%. Using the “final diagnosis adjudication based on clinical/laboratory criteria” the sensitivity was estimated to be 92.1% and the specificity was estimated to be 99.2%. The authors note that the certainty of evidence was low. The authors conclude that the FilmArray Meningitis/Encephalitis panel “may have acceptable-to-high sensitivities and high specificities for identifying bacteria, especially for S. pneumoniae, and viruses, especially for HSV-2, and enteroviruses” but suboptimal sensitivities for L. monocytogenes, H. influenzae, E.coli, and HSV-1 (Trujillo-Gómez et al., 2022).

J. Yoo et al. (2019) compared the Seegene Allplex Gastrointestinal, Luminex xTAG Gastrointestinal Pathogen Panel, and BD MAX Enteric Assays to determine which was the most efficient in detecting gastrointestinal pathogens from clinical stool samples. A total of 858 stool samples were used in this study. “The overall positive percentage agreements of Seegene, Luminex, and BD MAX were 94% (258 of 275), 92% (254 of 275), and 78% (46 of 59), respectfully. For Salmonella, Luminex showed low negative percentage agreement because of frequent false positives (n = 31) showing low median fluorescent intensity. For viruses, positive/negative percentage agreements of Seegene and Luminex were 99%/96% and 93%/99%, respectively (J. Yoo et al., 2019).” Overall, the authors suggest that these assays are promising in the detection of gastrointestinal pathogens simultaneously. Mahony and colleagues concluded that multiplex PCR-based testing was the most cost-effective strategy for the diagnosis of respiratory virus infections in children and resulted in better patient outcomes (shorter hospital stays) at lower costs (Mahony et al., 2009). Ginocchio and colleagues compared the sensitivities, specificities, positive predictive values, and negative predictive values of four different Influenza A diagnostic tests, including rapid antigen, direct immunofluorescence, viral culture, and PCR panel. The authors inferred that the PCR panel test provided the best diagnostic option with the highest sensitivity for the detection of all influenza strains and identified a significant number of additional respiratory pathogens (Ginocchio et al., 2009). Subramony and colleagues reported the use of multiplex PCR-based assays for respiratory viruses in hospitalized patients resulted in decreased healthcare resource utilization, including decreased use of antibiotics and chest radiographs (Subramony, Zachariah, Krones, Whittier, & Saiman, 2016). Babady et al. (2018) evaluated a new panel of 19 viruses and 2 bacteria (ePlex Respiratory Panel) with 2908 samples by comparing it to BioFire FilmArray. Overall agreement was > 95% for all targets, and positive agreement ranged from 85.1% to 95.1%. Negative agreement ranged from 99.5% to 99.8% (Babady et al., 2018).

The Infectious Diseases Society of America (IDSA) stated that CSF RT-PCR can be one of the methods used for the diagnosis of rabies virus and enteroviral encephalitis (Tunkel et al., 2008). Several studies have evaluated the clinical impact of RT-PCR for the detection of enterovirus in the CSF of patients with aseptic meningitis (Ramers, Billman, Hartin, Ho, & Sawyer, 2000; Robinson et al., 2002; Stellrecht, Harding, Woron, Lepow, & Venezia, 2002). These studies showed a reduction in unnecessary diagnostic and therapeutic intervention (for example, antibiotic use, ancillary tests, etc.), length of hospital stay, and hospital costs. Tzanakaki and colleagues evaluated a multiplex PCR assay for detection of Neisseria meningitidis, Streptococcus pneumoniae, and Haemophilus influenzae type b, and concluded that the test had high sensitivity (between 88% and 93.9%), an overall specificity and positive predictive value of 100%, and a negative predictive value > 99% (Tzanakaki et al., 2005). Leber and colleagues evaluated the performance of a commercially available multiplex PCR-based panel for meningitis and encephalitis, and concluded that the test is a sensitive and specific aid in diagnosis of CNS infections and leads to improved patient outcomes (Leber et al., 2016). Another study compared the FilmArray meningitis/encephalitis (ME) panel by BioFire Diagnostics, which uses 0.2 mL of CSF to test for 14 pathogens in one hour (BioFire, 2022c), to traditional culture and PCR assay methods. The FilmArray ME panel “demonstrated an overall percent positive agreement (PPA) of 97.5% (78/80) for bacterial pathogens, 90.1% (145/161) for viruses, and 52% (26/50) for Cryptococcusneoformans/C. gattii. Despite the low overall agreement (52%) between the ME panel and antigen testing for detection of C. neoformans/C. gattii, the percent positive agreement of the FilmArray assay for C. neoformans/C. gattii was 92.3%” (Liesenfeld et al., 2014; Liesman et al., 2018). The ME panel has also been proven to aid in “decreas[ing] the utilization of antibiotic therapy among pediatric patients admitted for concerns related to meningitis or encephalitis” (D. McDonald, Gagliardo, Chiu, & Di Pentima, 2020). Their research demonstrated that introducing the ME panel helped to reduce the days of therapy (DoT) from 5 days to 3 days and the number of inpatient days. Using the ME panel also decreased the empiric use of intravenous third generation cephalosporins and ampicillin for treatment independent of a respiratory viral pathogen diagnosis. Identifying the specific etiology guided more appropriate antibiotic therapy (D. McDonald et al., 2020).

The use of multiplex PCR assays to identify pathogens following positive blood culture can be faster than standard techniques involving phenotypic identification and antimicrobial susceptibility testing that is required up to 72 hours after the blood culture became positive (Liesenfeld et al., 2014). A prospective randomized controlled trial evaluating outcomes associated with multiplex PCR detection of bacteria, fungi, and resistance genes directly from positive blood culture bottles concluded that the testing led to more judicious antibiotic use (Banerjee et al., 2015). A study by Ward and colleagues compared the accuracy and speed of organism and resistance gene identification of two commercially available multiplex-PCR sepsis panels to conventional culture-based methods for 173 positive blood cultures. The researchers discovered that both the assays accurately identified organisms and significantly reduced the time to definitive results (on average, between 27.95 and 29.17 hours earlier than conventional method) (Ward et al., 2015). Another study assessed the diagnostic accuracy of a commercially available multiplex PCR-based assay for detecting infections among patients suspected of sepsis. They concluded that the test had high specificity with a modest sensitivity and had higher rule-in value than the rule-out value. If the patient had a positive result, a clinician can confidently diagnose sepsis and begin appropriate antimicrobial therapy while avoiding unwanted additional testing (Chang et al., 2013).

There are a few limitations with this type of testing. First, the level, detection or non-detection, of a microorganism does not necessarily imply a diagnosis. The tests can only describe the levels of microorganisms found in the environment, but additional information is required to make a diagnosis. Second, the scope of the 16S rRNA sequencing used in testing such as SmartGut and SmartJane may be limited. Differences in regions more specific than rRNA (such as surface antigens or individual toxin genes) cannot be resolved with this test. For example, the test cannot distinguish between a pathogenic C. difficile strain and a nonpathogenic one. Moreover, the tests report some of their targets at a genus level only, which means that these targets cannot be differentiated at the species level (Almonacid et al., 2017; Watts et al., 2017). Finally, the PCR technique can introduce errors during the amplification leading to incorrect detection. PCR enzymes may accidentally create “artefacts” or otherwise incorrect sequences causing the detection or measurement of the microorganisms to be inaccurate (V. Wintzingerode, Göbel, & Stackebrandt, 1997). 

UroSwab is a urine-based proprietary test from Medical Diagnostics LLC. UroSwab is a real-time PCR test intended to detect numerous pathogens potentially involved in sexually transmitted and urological infections. This test uses a patient’s urine, and the turnaround time is estimated at 24 – 72 hours. The results include whether a pathogen’s presence was normal or abnormal and includes comments on what the pathogen’s presence means (Diagnostics, 2015a, 2015b).

American College of Gastroenterology (ACG) 
American College of Gastroenterology stated that “diarrheal disease by definition has a broad range of potential pathogens particularly well suited for multiplex molecular testing. Several well-designed studies show that molecular testing now surpasses all other approaches for the routine diagnosis of diarrhea. Molecular diagnostic tests can provide a more comprehensive assessment of disease etiology by increasing the diagnostic yield compared with conventional diagnostic tests (Riddle et al., 2016).” Furthermore, the ACG recommended that “traditional methods of diagnosis (bacterial culture, microscopy with and without special stains and immunofluorescence, and antigen testing) fail to reveal the etiology of the majority of cases of acute diarrheal infection. If available, the use of Food and Drug Administration-approved culture independent methods of diagnosis can be recommended at least as an adjunct to traditional methods. (Strong recommendation, low level of evidence).”

The ACG also notes: 

  • “Diagnostic evaluation using stool culture and culture-independent methods if available should be used in situations where the individual patient is at high risk of spreading disease to others, and during known or suspected outbreaks.”
  • “Stool diagnostic studies may be used if available in cases of dysentery, moderate–severe disease, and symptoms lasting > 7 days to clarify the etiology of the patient’s illness and enable specific directed therapy” (Riddle et al., 2016).

In 2013, the ACG made the following recommendations on diagnostic tests used for Clostridium difficile infections (Surawicz et al., 2013):

  • “Only stools from patients with diarrhea should be tested for Clostridium difficile. (Strong recommendation, high-quality evidence)”
  • “Nucleic acid amplification tests (NAAT) for C. difficile toxin genes such as PCR are superior to toxins A + B EIA testing as a standard diagnostic test for CDI. (Strong recommendation, moderate-quality evidence)”
  • “Glutamate dehydrogenase (GDH) screening tests for C difficile can be used in two- or three-step screening algorithms with subsequent toxin A and B EIA testing, but the sensitivity of such strategies is lower than NAATs. (Strong recommendation, moderate-quality evidence)”
  • “Repeat testing should be discouraged. (Strong recommendation, moderate-quality evidence)”
  • “Testing for cure should not be done. (Strong recommendation, moderate-quality evidence)”

World Gastroenterology Organization (WGO) 
The World Gastroenterology Organization guidelines (Farthing et al., 2013) on acute diarrhea in adults and children have no recommendations for multiplex PCR testing.

Infectious Diseases Society of America (IDSA) 
In 2013, the IDSA stated that “molecular diagnostics that detect microbial DNA directly in blood have achieved a modest level of success, but several limitations still exist. Based on available data, well-designed multiplex PCRs appear to have value as sepsis diagnostics when used in conjunction with conventional culture and routine antibiotic susceptibility testing” (Caliendo et al., 2013).

The IDSA published guidelines for the diagnosis and management of infectious diarrhea which state:
Stool testing should be performed for Salmonella, Shigella, Campylobacter, Yersinia, C. difficile, and STEC in people with diarrhea accompanied by fever, bloody or mucoid stools, severe abdominal cramping or tenderness, or signs of sepsis. However, other bacterial, viral, and parasitic agents should be considered regardless of symptoms. Any specimen testing positive for bacterial pathogens by culture independent diagnostics (such as an antigen based molecular assay) should be cultured in a clinical or public health laboratory if isolation was requested or required.  Finally, clinical consideration should occur with interpretation of results of multi-pathogen NAATs as these tests only detect DNA and not necessarily pathogens (Shane et al., 2017).

The IDSA acknowledges the availability of an FDA-approved multiplex PCR targeting 14 organisms for diagnosing encephalitis and meningitis, but the society states it “should not be considered a replacement for culture.” The IDSA also notes that for gram-negative or gram-positive bacteria, bacterial culture is noted as the main diagnostic procedure (albeit at low sensitivity and optional). Regarding UTI, the IDSA only recommends nucleic acid testing for adenovirus and BK polyoma virus (Miller et al., 2018).

Regarding “wounds” (termed skin and soft tissue infections in the IDSA guideline), the IDSA typically recommends culture for most pathogens. Only a few strains of bacteria and viruses (such as Staphylococcus aureus, coagulase-negative staphylococci, Enterococcus spp, MRSA, and streptococci) were recommended for nucleic acid testing with the majority of bacterial and fungal pathogens recommended for culture instead (Miller et al., 2018).

The IDSA recommends RT-PCR or other molecular tests over other influenza tests in hospitalized patients. RT-PCR tests targeting a panel of respiratory pathogens are recommended in hospitalized, immunocompromised patients (Uyeki et al., 2018).

Global Wound Biofilm Expert Panel Consensus Guidelines 
A Global Wound Biofilm Expert Panel have strongly agreed that “there are currently no routine diagnostic tests available to confirm biofilm presence” and that “the most important measure for future diagnostic tests to consider is indication of where the biofilm is located within the wound (Schultz et al., 2017).”

Society of Critical Care Medicine and the European Society of Intensive Care Medicine 
A joint collaboration of the Society of Critical Care Medicine and the European Society of Intensive Care Medicine issued international guidelines for management of sepsis and septic shock. It states “in the near future, molecular diagnostic methods may offer the potential to diagnose infections more quickly and more accurately than current techniques. However, varying technologies have been described, clinical experience remains limited, and additional validation is needed before recommending these methods as an adjunct to or replacement for standard blood culture techniques (Rhodes et al., 2017).”

A 2020 update regarding “Management of Septic Shock and Sepsis-Associated Organ Dysfunction in Children” was published by the Society of Critical Care Medicine (SCCM), European Society of Intensive Care Medicine (ESICM), and the International Sepsis Forum. In it, they acknowledge the presence of new molecular technologies, but remark that they are “currently relatively expensive, are not sufficient for all pathogens and antibiotic sensitivities, and are not universally available” (Weiss et al., 2020).

National Institute for Health and Care Excellence 
NICE states there is “insufficient evidence to recommend the routine adoption in the NHS of the integrated multiplex polymerase chain reaction tests, xTAG Gastrointestinal Pathogen Panel, FilmArray GI Panel and Faecal Pathogens B assay, for identifying gastrointestinal pathogens in people with suspected gastroenteritis.” NICE acknowledges that the tests show promise but need further data on their clinical utility (NICE, 2017).

American Society for Microbiology/Association for Molecular Pathology/Association of Public Health Laboratories/College of American Pathologists/Infectious Diseases Society of America/Pan American Society for Clinical Virology 
These societies made a joint statement regarding respiratory viral panels and noted three populations in which multiplex panels would be beneficial. Those populations were “immunocompromised hosts, adult patients appearing acutely ill who are potential hospital admissions, and critically ill adult patients, particularly ICU patients” (Microbiology, 2017).

The European Association of Urology (EAU) 
The EAU published an update to their guidelines on UTIs in 2021. For uncomplicated UTIs (recurrent UTIs, cystitis, pyelonephritis), the EAU does not mention molecular testing at any point of the treatment algorithm; instead, they recommend bacterial culture or dipstick testing for diagnosis and recommending against extensive workup. The EAU notes that antimicrobial susceptibility testing should be performed in all cases of pyelonephritis, but their guidelines do not suggest any methods over another. In complicated UTIs, the EAU recommends urine culture to identify cases of clinically significant bacteriuria (Bonkat et al., 2021).

American College of Chest Physicians (CHEST) 
The CHEST has recommended that outpatient adults with an acute cough and suspected pneumonia should not undergo routine microbiological testing because there is no need for such testing. However, testing may be considered if the results would change the therapeutic approach. Microbiological tests may include culture, serologic, and PCR testing (Hill et al., 2019).

Centers for Disease Control and Prevention 
Regarding molecular tests that are commonly used for a C. difficile diagnosis, the CDC states that “FDA-approved PCR assays, which test for the gene encoding toxin B, are same-day tests that are highly sensitive and specific for the presence of a toxin-producing C. diff organism. Molecular assays can be positive for C. diff in individuals who are asymptomatic. When using multi-pathogen (multiplex) molecular methods, the results should be read with caution as the pre-test probability of C. diff infection might be less.” (CDC, 2021b).

Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA) 
The IDSA and SHEA have stated that the best-performing method for detecting patients with a greater risk of a C. difficile infection from a stool sample is to “Use a stool toxin test as part of a multistep algorithm (i.e., glutamate dehydrogenase [GDH] plus toxin; GDH plus toxin, arbitrated by nucleic acid amplification test [NAAT]; or NAAT plus toxin) rather than a NAAT alone for all specimens received in the clinical laboratory when there are no preagreed institutional criteria for patient stool submission (Figure 2) (weak recommendation, low quality of evidence) (L. C. McDonald et al., 2018).” These guidelines also state that repeat testing (within 7 days) should not be performed. Panel testing is not specifically mentioned in these guidelines.

American Society of Transplantation Infectious Diseases Community of Practice 
These guidelines focus on identifying infections in transplant patients. Their recommendations are as follows:

“For the diagnosis of SOT [solid organ transplant] recipients with suspected gastrointestinal infections,” gastrointestinal multiplex molecular assays are recommended to identify Cryptosporidium, Cyclospora, and Giardia (La Hoz & Morris, 2019).

American Society for Clinical Pathology (ASCP, through ChoosingWisely) 
The ASCP states “Do not routinely order broad respiratory pathogen panels unless the result will affect patient management.” They further state that patient management may include “provid [ing] immediate diagnosis and potentially expedite management decisions” and list “rapid molecular or point of care tests for RSV, Influenza A/B, or Group A pharyngitis” as examples (ASCP, 2019a).

The ASCP recommends against testing “for community gastrointestinal stool pathogens in hospitalized patients who develop diarrhea after day 3 of hospitalization” and instead recommend considering testing for C. difficile (ASCP, 2019b).

Table of Terminology

Term

Definition

ACG

American College of Gastroenterology    

ASCP

American Society for Clinical Pathology

BBB

Blood-brain barrier

BCID

Blood culture identification panel

BCSFB

Blood-cerebrospinal fluid barrier

CDC

Centers for Disease Control and Prevention

CDI

Clostridium difficile infections

CHEST

American College of Chest Physicians

CMS

Centers for Medicare & Medicaid Services

CNS

Central nervous system

CPT

Current Procedural Terminology

CSF

Cerebrospinal fluid

DNA

Deoxyribonucleic acid

DOT

Days of therapy

EAEC

Enteroaggregative Escherichia coli

E. coli

Escherichia coli

EAU  

European Association of Urology

EIEC

Enteroinvasive Escherichia coli

ESICM

European Society of Intensive Care Medicine

ETEC

Enterotoxigenic Escherichia coli

EUA

Emergency use authorization

FDA

Food and Drug Administration 

GDH

Glutamate dehydrogenase

GI

Gastrointestinal

GPP

Gastrointestinal pathogen panel

HIV

Human immunodeficiency virus

HPV

Human papillomavirus infection 

IDSA

Infectious Diseases Society of America

LAMP

Loop-mediated isothermal amplification

LCD

Local coverage determination

LDT

Laboratory developed test

ME

Meningitis/encephalitis

MRSA

Methicillin Resistant Staphylococcus aureus

MSSA

Methicillin Sensitive Staphylococcus aureus

NAAT

Nucleic acid amplification test

NICE

National Institute for Health and Care Excellence

NP

Nasopharyngeal

NPS

Nasopharyngeal swabs

PCR

Polymerase chain reaction

PLA

Proprietary laboratory analyses 

PPA

Percent positive agreement

RNA

Ribonucleic acid

RP

Respiratory Pathogen

RP2

Respiratory Pathogen Panel 2

RPP

Respiratory Pathogen Panel

RSV

Human respiratory syncytial virus

RT-PCR

Reverse transcriptase polymerase chain reaction

RV+

Respiratory Virus Plus Nucleic Acid Test

RVP

Respiratory Viral Panel

SARS-CoV-2

Severe Acute Respiratory Syndrome Coronavirus 2

SCCM

Society of Critical Care Medicine

SHEA

Society for Healthcare Epidemiology of America

SOT

Solid organ transplant

SSTI

Skin and soft tissue infection

STEC

Shiga-toxin producing Escherichia coli

STX1

Shiga Toxin 1

STX2

Shiga Toxin 2

TEM-PCRTM

Target enriched multiplex polymerase chain reaction

UOS

Unit of service 

UPEC

Uropathogenic Escherichia coli

UTI

Urinary tract infection

WGO

World Gastroenterology Organization

WHO

World Health Organization

WHO-RT-PCR

World Health Organization-recommended reverse transcriptase polymerase chain reaction

References  

  1. Almonacid, D. E., Kraal, L., Ossandon, F. J., Budovskaya, Y. V., Cardenas, J. P., Bik, E. M., . . . Apte, Z. S. (2017). 16S rRNA gene sequencing and healthy reference ranges for 28 clinically relevant microbial taxa from the human gut microbiome. PLOS ONE, 12(5), e0176555. doi:10.1371/journal.pone.0176555
  2. Armstrong, D., & Meyr, A. (2021, January 12). Basic principles of wound management. Retrieved from https://www.uptodate.com/contents/basic-principles-of-wound-management
  3. ASCP. (2019a). Do not routinely order broad respiratory pathogen panels unless the result will affect patient management. Retrieved from https://www.choosingwisely.org/clinician-lists/ascp-broad-respiratory-pathogen-panels/
  4. ASCP. (2019b). Do not routinely test for community gastrointestinal stool pathogens in hospitalized patients who develop diarrhea after day 3 of hospitalization. Retrieved from https://www.choosingwisely.org/clinician-lists/ascp-testing-for-community-gastrointestinal-stool-pathogens-in-hospitalized-pts/
  5. Axelrad, J. E., Freedberg, D. E., Whittier, S., Greendyke, W., Lebwohl, B., & Green, D. A. (2019). Impact of Gastrointestinal Panel Implementation on Health Care Utilization and Outcomes. J Clin Microbiol, 57(3). doi:10.1128/jcm.01775-18
  6. Babady, N. E., England, M. R., Jurcic Smith, K. L., He, T., Wijetunge, D. S., Tang, Y. W., . . . Greene, W. (2018). Multicenter Evaluation of the ePlex Respiratory Pathogen Panel for the Detection of Viral and Bacterial Respiratory Tract Pathogens in Nasopharyngeal Swabs. J Clin Microbiol, 56(2). doi:10.1128/jcm.01658-17
  7. Banerjee, R., Teng, C. B., Cunningham, S. A., Ihde, S. M., Steckelberg, J. M., Moriarty, J. P., . . . Patel, R. (2015). Randomized Trial of Rapid Multiplex Polymerase Chain Reaction-Based Blood Culture Identification and Susceptibility Testing. Clin Infect Dis, 61(7), 1071-1080. doi:10.1093/cid/civ447
  8. Beal, S. G., Tremblay, E. E., Toffel, S., Velez, L., & Rand, K. H. (2018). A Gastrointestinal PCR Panel Improves Clinical Management and Lowers Health Care Costs. J Clin Microbiol, 56(1). doi:10.1128/jcm.01457-17
  9. BioCode. (2022a). FDA-Cleared Gastrointestinal Pathogen Panel (GPP). Retrieved from https://www.apbiocode.com/gi_panel.htm
  10. BioCode. (2022b). FDA-Cleared Respiratory Pathogen Panel (RPP). Retrieved from https://apbiocode.com/rpp_panel.htm
  11. BioFire. (2022a). The BioFire® FilmArray® Blood Culture Identification (BCID) Panel. Retrieved from https://www.biofiredx.com/products/the-filmarray-panels/filmarraybcid/
  12. BioFire. (2022b). The BioFire® FilmArray® Gastrointestinal (GI) Panel. Retrieved from https://www.biofiredx.com/products/the-filmarray-panels/filmarraygi/
  13. BioFire. (2022c). The BioFire® FilmArray® Meningitis/Encephalitis (ME) Panel. Retrieved from https://www.biofiredx.com/products/the-filmarray-panels/filmarrayme/
  14. BioFire. (2022d). The BioFire® FilmArray® Respiratory 2.1 (RP2.1) Panel. Retrieved from https://www.biofiredx.com/products/the-filmarray-panels/filmarrayrp/
  15. Bonkat, G., Bartoletti, R., Bruyere, F., Cai, T., Geerlings, S. E., Koves, B., . . . Veeratterapillay, R. (2021, March ). European Association of Urology (EAU) Guidelines on Urological Infections. Retrieved from http://uroweb.org/guideline/urological-infections/#3
  16. Bonnin, P., Miszczak, F., Kin, N., Resa, C., Dina, J., Gouarin, S., . . . Vabret, A. J. B. I. D. (2016). Study and interest of cellular load in respiratory samples for the optimization of molecular virological diagnosis in clinical practice. 16(1), 384. doi:10.1186/s12879-016-1730-9
  17. Buss, S. N., Leber, A., Chapin, K., Fey, P. D., Bankowski, M. J., Jones, M. K., . . . Bourzac, K. M. (2015). Multicenter evaluation of the BioFire FilmArray gastrointestinal panel for etiologic diagnosis of infectious gastroenteritis. J Clin Microbiol, 53(3), 915-925. doi:10.1128/jcm.02674-14
  18. Caliendo, A. M. (2011). Multiplex PCR and Emerging Technologies for the Detection of Respiratory Pathogens. Clinical Infectious Diseases, 52(suppl_4), S326-S330. doi:10.1093/cid/cir047
  19. Caliendo, A. M., Gilbert, D. N., Ginocchio, C. C., Hanson, K. E., May, L., Quinn, T. C., . . . for the Infectious Diseases Society of, A. (2013). Better Tests, Better Care: Improved Diagnostics for Infectious Diseases. Clinical Infectious Diseases, 57(suppl_3), S139-S170. doi:10.1093/cid/cit578
  20. Cardwell, S. M., Crandon, J. L., Nicolau, D. P., McClure, M. H., & Nailor, M. D. (2016). Epidemiology and economics of adult patients hospitalized with urinary tract infections. Hosp Pract (1995), 44(1), 33-40. doi:10.1080/21548331.2016.1133214
  21. CDC. (2019). Respiratory Infections. Retrieved from https://wwwnc.cdc.gov/travel/yellowbook/2020/posttravel-evaluation/respiratory-infections
  22. CDC. (2021a). Bacterial Meningitis. Retrieved from https://www.cdc.gov/meningitis/bacterial.html
  23. CDC. (2021b, March 27). FAQs for Clinicians about C. diff. Retrieved from https://www.cdc.gov/cdiff/clinicians/faq.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fhai%2Forganisms%2Fcdiff%2Fcdiff_faqs_hcp.html
  24. CDC. (2021c). Fungal Meningitis. Retrieved from https://www.cdc.gov/meningitis/fungal.html
  25. CDC. (2021d). What is sepsis? Retrieved from https://www.cdc.gov/sepsis/what-is-sepsis.html
  26. CDC. (2022). Meningococcal Disease. Retrieved from https://www.cdc.gov/meningococcal/index.html
  27. Chang, S.-S., Hsieh, W.-H., Liu, T.-S., Lee, S.-H., Wang, C.-H., Chou, H.-C., . . . Lee, C.-C. (2013). Multiplex PCR System for Rapid Detection of Pathogens in Patients with Presumed Sepsis – A Systemic Review and Meta-Analysis. PLOS ONE, 8(5), e62323. doi:10.1371/journal.pone.0062323
  28. Claas, E. C., Burnham, C. A., Mazzulli, T., Templeton, K., & Topin, F. (2013). Performance of the xTAG(R) gastrointestinal pathogen panel, a multiplex molecular assay for simultaneous detection of bacterial, viral, and parasitic causes of infectious gastroenteritis. J Microbiol Biotechnol, 23(7), 1041-1045. 
  29. CMS. (2022). Local Coverage Determination (LCD): Foodborne Gastrointestinal Panels Identified by Multiplex Nucleic Acid Amplification Tests (NAATs) (L37766). Retrieved from https://www.cms.gov/medicare-coverage-database/details/lcd-details.aspx?LCDId=37766
  30. Couturier, M. R., Lee, B., Zelyas, N., & Chui, L. (2011). Shiga-toxigenic Escherichia coli detection in stool samples screened for viral gastroenteritis in Alberta, Canada. J Clin Microbiol, 49(2), 574-578. doi:10.1128/jcm.01693-10
  31. Cybulski, R. J., Jr., Bateman, A. C., Bourassa, L., Bryan, A., Beail, B., Matsumoto, J., . . . Fang, F. C. (2018). Clinical Impact of a Multiplex Gastrointestinal Polymerase Chain Reaction Panel in Patients With Acute Gastroenteritis. Clin Infect Dis, 67(11), 1688-1696. doi:10.1093/cid/ciy357
  32. Dando, S. J., Mackay-Sim, A., Norton, R., Currie, B. J., St John, J. A., Ekberg, J. A., . . . Beacham, I. R. (2014). Pathogens penetrating the central nervous system: infection pathways and the cellular and molecular mechanisms of invasion. Clin Microbiol Rev, 27(4), 691-726. doi:10.1128/cmr.00118-13
  33. Diagnostics, M. (2015a). OneSwab. Retrieved from https://www.mdlab.com/forms/Brochures/OSUS.pdf
  34. Diagnostics, M. (2015b). UroSwab. Retrieved from https://www.mdlab.com/forms/Flyers/Female_STD_flyer.pdf
  35. Farthing, M., Salam, M. A., Lindberg, G., Dite, P., Khalif, I., Salazar-Lindo, E., . . . LeMair, A. (2013). Acute diarrhea in adults and children: a global perspective. J Clin Gastroenterol, 47(1), 12-20. doi:10.1097/MCG.0b013e31826df662
  36. Fernandez-Soto, P., Sanchez-Hernandez, A., Gandasegui, J., Bajo Santos, C., Lopez-Aban, J., Saugar, J. M., . . . Muro, A. (2016). Strong-LAMP: A LAMP Assay for Strongyloides spp. Detection in Stool and Urine Samples. Towards the Diagnosis of Human Strongyloidiasis Starting from a Rodent Model. PLoS Negl Trop Dis, 10(7), e0004836. doi:10.1371/journal.pntd.0004836
  37. GenetWorx. (2022). Wounds Pathogen Panel. Retrieved from https://www.genetworx.com/services/wound-pathogen-panel
  38. GenMark. (2022a). Blood Culture Identification (BCID) Panels. Retrieved from https://www.genmarkdx.com/solutions/panels/eplex-panels/blood-culture-identification-panels/
  39. GenMark. (2022b). Respiratory Pathogen (RP) Panel and NEW Respiratory Pathogen Panel 2 (RP2). Retrieved from https://www.genmarkdx.com/solutions/panels/eplex-panels/respiratory-pathogen-panel/
  40. Ginocchio, C. C. (2007). Detection of respiratory viruses using non-molecular based methods. J Clin Virol, 40 Suppl 1, S11-14. doi:10.1016/s1386-6532(07)70004-5
  41. Ginocchio, C. C., Zhang, F., Manji, R., Arora, S., Bornfreund, M., Falk, L., . . . Crawford, J. M. (2009). Evaluation of multiple test methods for the detection of the novel 2009 influenza A (H1N1) during the New York City outbreak. J Clin Virol, 45(3), 191-195. doi:10.1016/j.jcv.2009.06.005
  42. Gyawali, B., Ramakrishna, K., & Dhamoon, A. S. (2019). Sepsis: The evolution in definition, pathophysiology, and management. SAGE Open Med, 7, 2050312119835043. doi:10.1177/2050312119835043
  43. Hansen, L. S., Lykkegaard, J., Thomsen, J. L., & Hansen, M. P. (2020). Acute lower respiratory tract infections: Symptoms, findings and management in Danish general practice. Eur J Gen Pract, 26(1), 14-20. doi:10.1080/13814788.2019.1674279
  44. Hill, A. T., Gold, P. M., El Solh, A. A., Metlay, J. P., Ireland, B., & Irwin, R. S. (2019). Adult Outpatients With Acute Cough Due to Suspected Pneumonia or Influenza: CHEST Guideline and Expert Panel Report. Chest, 155(1), 155-167. doi:10.1016/j.chest.2018.09.016
  45. Hooton, T. M., & Gupta, K. (2021, March 19). Acute complicated urinary tract infection (including pyelonephritis) in adults. UpToDate. Retrieved from https://www.uptodate.com/contents/acute-complicated-urinary-tract-infection-including-pyelonephritis-in-adults
  46. Humphrey, J. M., Ranbhise, S., Ibrahim, E., Al-Romaihi, H. E., Farag, E., Abu-Raddad, L. J., & Glesby, M. J. (2016). Multiplex Polymerase Chain Reaction for Detection of Gastrointestinal Pathogens in Migrant Workers in Qatar. 95(6), 1330-1337. doi:10.4269/ajtmh.16-0464
  47. Humphries, R. M., & Linscott, A. J. (2015). Laboratory diagnosis of bacterial gastroenteritis. Clin Microbiol Rev, 28(1), 3-31. doi:10.1128/cmr.00073-14
  48. Jo, S. J., Kang, H. M., Kim, J. O., Cho, H., Heo, W., Yoo, I. Y., & Park, Y. J. (2021). Evaluation of the BioFire Gastrointestinal Panel to Detect Diarrheal Pathogens in Pediatric Patients. Diagnostics (Basel), 12(1). doi:10.3390/diagnostics12010034
  49. La Hoz, R. M., & Morris, M. I. (2019). Intestinal parasites including Cryptosporidium, Cyclospora, Giardia, and Microsporidia, Entamoeba histolytica, Strongyloides, Schistosomiasis, and Echinococcus: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice. Clin Transplant, 33(9), e13618. doi:10.1111/ctr.13618
  50. Lamy, B., Sundqvist, M., & Idelevich, E. A. (2020). Bloodstream infections - Standard and progress in pathogen diagnostics. Clin Microbiol Infect, 26(2), 142-150. doi:10.1016/j.cmi.2019.11.017
  51. Leber, A. L., Everhart, K., Balada-Llasat, J. M., Cullison, J., Daly, J., Holt, S., . . . Bourzac, K. M. (2016). Multicenter Evaluation of BioFire FilmArray Meningitis/Encephalitis Panel for Detection of Bacteria, Viruses, and Yeast in Cerebrospinal Fluid Specimens. J Clin Microbiol, 54(9), 2251-2261. doi:10.1128/jcm.00730-16
  52. Liesenfeld, O., Lehman, L., Hunfeld, K. P., & Kost, G. (2014). Molecular diagnosis of sepsis: New aspects and recent developments. European journal of microbiology & immunology, 4(1), 1-25. doi:10.1556/EuJMI.4.2014.1.1
  53. Liesman, R. M., Strasburg, A. P., Heitman, A. K., Theel, E. S., Patel, R., & Binnicker, M. J. (2018). Evaluation of a Commercial Multiplex Molecular Panel for Diagnosis of Infectious Meningitis and Encephalitis. J Clin Microbiol, 56(4). doi:10.1128/jcm.01927-17
  54. Liu, J., Kabir, F., Manneh, J., Lertsethtakarn, P., Begum, S., Gratz, J., . . . Houpt, E. R. (2014). Development and assessment of molecular diagnostic tests for 15 enteropathogens causing childhood diarrhoea: a multicentre study. Lancet Infect Dis, 14(8), 716-724. doi:10.1016/s1473-3099(14)70808-4
  55. Luminex. (2022a). NxTAG® Respiratory Pathogen Panel. Retrieved from https://www.luminexcorp.com/nxtag-respiratory-pathogen-panel/
  56. Luminex. (2022b). xTAG® Gastrointestinal Pathogen Panel (GPP). Retrieved from https://www.luminexcorp.com/gastrointestinal-pathogen-panel/
  57. Mahony, J. B., Blackhouse, G., Babwah, J., Smieja, M., Buracond, S., Chong, S., . . . Goeree, R. (2009). Cost Analysis of Multiplex PCR Testing for Diagnosing Respiratory Virus Infections. Journal of Clinical Microbiology, 47(9), 2812. Retrieved from http://jcm.asm.org/content/47/9/2812.abstract
  58. McDonald, D., Gagliardo, C., Chiu, S., & Di Pentima, M. C. (2020). Impact of a Rapid Diagnostic Meningitis/Encephalitis Panel on Antimicrobial Use and Clinical Outcomes in Children. Antibiotics (Basel), 9(11). doi:10.3390/antibiotics9110822
  59. McDonald, L. C., Gerding, D. N., Johnson, S., Bakken, J. S., Carroll, K. C., Coffin, S. E., . . . Wilcox, M. H. (2018). Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA). Clin Infect Dis, 66(7), 987-994. doi:10.1093/cid/ciy149
  60. Medina, M., & Castillo-Pino, E. (2019). An introduction to the epidemiology and burden of urinary tract infections. Ther Adv Urol, 11, 1756287219832172. doi:10.1177/1756287219832172
  61. Meyrier, A. (2019, July 1). Sampling and evaluation of voided urine in the diagnosis of urinary tract infection in adults. UpToDate. Retrieved from https://www.uptodate.com/contents/sampling-and-evaluation-of-voided-urine-in-the-diagnosis-of-urinary-tract-infection-in-adults
  62. Microbiology, A. S. f. (2017). MolDX: Multiplex Nucleic Acid Amplified Tests for RespiratoryViral Panels (DL37301). Retrieved from https://www.amp.org/AMP/assets/File/position-statements/2017/JointCommentLettertoNoridioanJEforMultiplexViralPanelTests-Respiratory-DL37301.pdf
  63. MicroGenDX. (2019a). Urology. Retrieved from https://microgendx.com/urology/
  64. MicroGenDX. (2019b). Wound Care Retrieved from https://microgendx.com/wound-care/
  65. Miller, J. M., Pritt, B. S., Theel, E. S., Yao, J. D., Binnicker, M. J., Patel, R., . . . Weinstein, M. P. (2018). A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2018 Update by the Infectious Diseases Society of America and the American Society for Microbiologya. Clinical Infectious Diseases, 67(6), e1-e94. doi:10.1093/cid/ciy381
  66. Mormeneo Bayo, S., López González, E., Bellés Bellés, A., Bernet Sánchez, A., Aramburu Arnuelos, J., Jiménez Pérez de Tudela, I., . . . García González, M. (2022). Detection and pathological role of intestinal protozoa in children. Parasitol Int, 88, 102558. doi:10.1016/j.parint.2022.102558
  67. NICE. (2017). Integrated multiplex PCR tests for identifying gastrointestinal pathogens in people with suspected gastroenteritis (xTAG Gastrointestinal Pathogen Panel, FilmArray GI Panel and Faecal Pathogens B assay). Retrieved from https://www.nice.org.uk/guidance/dg26/chapter/1-Recommendations
  68. Nijhuis, R. H. T., Guerendiain, D., Claas, E. C. J., & Templeton, K. E. (2017). Comparison of ePlex Respiratory Pathogen Panel with Laboratory-Developed Real-Time PCR Assays for Detection of Respiratory Pathogens. J Clin Microbiol, 55(6), 1938-1945. doi:10.1128/jcm.00221-17
  69. NovaDX. (2022). NOVADX ABX DIAGNOSIS. Retrieved from https://www.novadx.com/abx-uti-testing-menu
  70. Onori, M., Coltella, L., Mancinelli, L., Argentieri, M., Menichella, D., Villani, A., . . . Russo, C. (2014). Evaluation of a multiplex PCR assay for simultaneous detection of bacterial and viral enteropathogens in stool samples of paediatric patients. Diagn Microbiol Infect Dis, 79(2), 149-154. doi:10.1016/j.diagmicrobio.2014.02.004
  71. Operario, D. J., & Houpt, E. (2011). Defining the causes of diarrhea: novel approaches. Curr Opin Infect Dis, 24(5), 464-471. doi:10.1097/QCO.0b013e32834aa13a
  72. Palavecino, E. (2015). One Sample, Multiple Results The Use of Multiplex PCR for Diagnosis of Infectious Syndromes. Clinical Laboratory News. Retrieved from https://www.aacc.org/publications/cln/articles/2015/april/one-sample-multiple-results
  73. Pammi, M. (2019, April 4). Clinical features and diagnosis of bacterial sepsis in the preterm infant (<34 weeks gestation). Retrieved from https://www.uptodate.com/contents/clinical-features-and-diagnosis-of-bacterial-sepsis-in-the-preterm-infant-less-than34-weeks-gestation
  74. Petti, C. A., & Polage, C. R. (2019, June 21). Molecular diagnosis of central nervous system infections. Retrieved from https://www.uptodate.com/contents/molecular-diagnosis-of-central-nervous-system-infections
  75. QIAGEN. (2022). QIAstat-Dx Respiratory SARS-CoV-2 Panel. Retrieved from https://www.qiagen.com/us/products/diagnostics-and-clinical-research/infectious-disease/qiastat-dx-syndromic-testing/qiastat-dx-eua-us/
  76. Ramers, C., Billman, G., Hartin, M., Ho, S., & Sawyer, M. H. (2000). Impact of a diagnostic cerebrospinal fluid enterovirus polymerase chain reaction test on patient management. Jama, 283(20), 2680-2685. 
  77. Ray, G. T., Suaya, J. A., & Baxter, R. (2013). Incidence, microbiology, and patient characteristics of skin and soft-tissue infections in a U.S. population: a retrospective population-based study. BMC Infect Dis, 13, 252. doi:10.1186/1471-2334-13-252
  78. Rhodes, A., Evans, L. E., Alhazzani, W., Levy, M. M., Antonelli, M., Ferrer, R., . . . Dellinger, R. P. (2017). Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Crit Care Med, 45(3), 486-552. doi:10.1097/ccm.0000000000002255
  79. Riddle, M. S., DuPont, H. L., & Connor, B. A. (2016). ACG Clinical Guideline: Diagnosis, Treatment, and Prevention of Acute Diarrheal Infections in Adults. Am J Gastroenterol, 111(5), 602-622. doi:10.1038/ajg.2016.126
  80. Robinson, C. C., Willis, M., Meagher, A., Gieseker, K. E., Rotbart, H., & Glode, M. P. (2002). Impact of rapid polymerase chain reaction results on management of pediatric patients with enteroviral meningitis. Pediatr Infect Dis J, 21(4), 283-286. 
  81. Scallan, E., Griffin, P. M., Angulo, F. J., Tauxe, R. V., & Hoekstra, R. M. (2011). Foodborne illness acquired in the United States--unspecified agents. Emerg Infect Dis, 17(1), 16-22. doi:10.3201/eid1701.091101p2
  82. Schultz, G., Bjarnsholt, T., James, G. A., Leaper, D. J., McBain, A. J., Malone, M., . . . Wolcott, R. D. (2017). Consensus guidelines for the identification and treatment of biofilms in chronic nonhealing wounds. Wound Repair Regen, 25(5), 744-757. doi:10.1111/wrr.12590
  83. Seegene. (2020). Sepsis. Retrieved from http://www.arrowdiagnostics.it/download/microbiologia/sepsi/Magicplex-Sepsis-Real-time-Test.pdf
  84. Seegene. (2022). Magicplex™ Sepsis Real-time Test. Retrieved from https://www.seegene.com/assays/magicplex_sepsis_realtime_test
  85. Shane, A. L., Mody, R. K., Crump, J. A., Tarr, P. I., Steiner, T. S., Kotloff, K., . . . Pickering, L. K. (2017). 2017 Infectious Diseases Society of America Clinical Practice Guidelines for the Diagnosis and Management of Infectious Diarrhea. Clin Infect Dis, 65(12), 1963-1973. doi:10.1093/cid/cix959
  86. Stellrecht, K. A., Harding, I., Woron, A. M., Lepow, M. L., & Venezia, R. A. (2002). The impact of an enteroviral RT-PCR assay on the diagnosis of aseptic meningitis and patient management. J Clin Virol, 25 Suppl 1, S19-26. 
  87. Stockmann, C., Rogatcheva, M., Harrel, B., Vaughn, M., Crisp, R., Poritz, M., . . . Pavia, A. T. (2015). How well does physician selection of microbiologic tests identify Clostridium difficile and other pathogens in paediatric diarrhoea? Insights using multiplex PCR-based detection. Clin Microbiol Infect, 21(2), 179.e179-115. doi:10.1016/j.cmi.2014.07.011
  88. Subramony, A., Zachariah, P., Krones, A., Whittier, S., & Saiman, L. (2016). Impact of Multiplex Polymerase Chain Reaction Testing for Respiratory Pathogens on Healthcare Resource Utilization for Pediatric Inpatients. J Pediatr, 173, 196-201.e192. doi:10.1016/j.jpeds.2016.02.050
  89. Surawicz, C. M., Brandt, L. J., Binion, D. G., Ananthakrishnan, A. N., Curry, S. R., Gilligan, P. H., . . . Zuckerbraun, B. S. (2013). Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. Am J Gastroenterol, 108(4), 478-498; quiz 499. doi:10.1038/ajg.2013.4
  90. T2Biosystems. (2022). T2Bacteria Panel. Retrieved from https://www.t2biosystems.com/products-technology/t2bacteria-panel/
  91. Thomas, M., & Bomar, P. A. (2020). Upper Respiratory Tract Infection. In StatPearls. Treasure Island (FL): StatPearls Publishing LLC.
  92. Trujillo-Gómez, J., Tsokani, S., Arango-Ferreira, C., Atehortúa-Muñoz, S., Jimenez-Villegas, M. J., Serrano-Tabares, C., . . . Florez, I. D. (2022). Biofire FilmArray Meningitis/Encephalitis panel for the aetiological diagnosis of central nervous system infections: A systematic review and diagnostic test accuracy meta-analysis. EClinicalMedicine, 44, 101275. doi:10.1016/j.eclinm.2022.101275
  93. Truong, J., Cointe, A., Le Roux, E., Bidet, P., Michel, M., Boize, J., . . . Bonacorsi, S. (2021). Clinical impact of a gastrointestinal PCR panel in children with infectious diarrhoea. Arch Dis Child. doi:10.1136/archdischild-2021-322465
  94. Tunkel, A. R., Glaser, C. A., Bloch, K. C., Sejvar, J. J., Marra, C. M., Roos, K. L., . . . Whitley, R. J. (2008). The Management of Encephalitis: Clinical Practice Guidelines by the Infectious Diseases Society of America. Clinical Infectious Diseases, 47(3), 303-327. doi:10.1086/589747
  95. Tzanakaki, G., Tsopanomichalou, M., Kesanopoulos, K., Matzourani, R., Sioumala, M., Tabaki, A., & Kremastinou, J. (2005). Simultaneous single-tube PCR assay for the detection of Neisseria meningitidis, Haemophilus influenzae type b and Streptococcus pneumoniae. Clin Microbiol Infect, 11(5), 386-390. doi:10.1111/j.1469-0691.2005.01109.x
  96. Ubiome. (2018a). SmartGut. Retrieved from https://ubiome.com/providers/smartgut/
  97. Ubiome. (2018b). SmartGut Sample Report. Retrieved from https://s3-us-west-1.amazonaws.com/ubiome-assets/wp-content/uploads/2018/09/07195630/SmartGut-Sample-Report.pdf
  98. Ubiome. (2018c). SmartJane Sample Report. Retrieved from https://s3-us-west-1.amazonaws.com/ubiome-assets/wp-content/uploads/2018/10/16141949/SmartJane-Sample-Report_2.1.2.pdf
  99. Uyeki, T. M., Bernstein, H. H., Bradley, J. S., Englund, J. A., File, T. M., Jr., Fry, A. M., . . . Pavia, A. T. (2018). Clinical Practice Guidelines by the Infectious Diseases Society of America: 2018 Update on Diagnosis, Treatment, Chemoprophylaxis, and Institutional Outbreak Management of Seasonal Influenzaa. doi:10.1093/cid/ciy866
  100. V. Wintzingerode, F., Göbel, U. B., & Stackebrandt, E. (1997). Determination of microbial diversity in environmental samples: pitfalls of PCR-based rRNA analysis. 21(3), 213-229. doi:doi:10.1111/j.1574-6976.1997.tb00351.x
  101. van Asten, S. A. V., Boers, S. A., de Groot, J. D. F., Schuurman, R., & Claas, E. C. J. (2021). Evaluation of the Genmark ePlex® and QIAstat-Dx® respiratory pathogen panels in detecting bacterial targets in lower respiratory tract specimens. BMC Microbiol, 21(1), 236. doi:10.1186/s12866-021-02289-w
  102. van Rijn, A. L., Nijhuis, R. H. T., Bekker, V., Groeneveld, G. H., Wessels, E., Feltkamp, M. C. W., & Claas, E. C. J. (2018). Clinical implications of rapid ePlex(R) Respiratory Pathogen Panel testing compared to laboratory-developed real-time PCR. Eur J Clin Microbiol Infect Dis, 37(3), 571-577. doi:10.1007/s10096-017-3151-0
  103. Viracor. (2022). Skin and Soft Tissue Infection Panel TEM-PCR™. Retrieved from https://www.viracor-eurofins.com/test-menu/220798p-skin-and-soft-tissue-infection-panel-tem-pcr/
  104. Visseaux, B., Le Hingrat, Q., Collin, G., Bouzid, D., Lebourgeois, S., Le Pluart, D., . . . Houhou-Fidouh, N. (2020). Evaluation of the QIAstat-Dx Respiratory SARS-CoV-2 Panel, the First Rapid Multiplex PCR Commercial Assay for SARS-CoV-2 Detection. Journal of Clinical Microbiology, 58(8), e00630-00620. doi:10.1128/JCM.00630-20
  105. Ward, C., Stocker, K., Begum, J., Wade, P., Ebrahimsa, U., & Goldenberg, S. D. (2015). Performance evaluation of the Verigene(R) (Nanosphere) and FilmArray(R) (BioFire(R)) molecular assays for identification of causative organisms in bacterial bloodstream infections. Eur J Clin Microbiol Infect Dis, 34(3), 487-496. doi:10.1007/s10096-014-2252-2
  106. Watts, G. S., Youens-Clark, K., Slepian, M. J., Wolk, D. M., Oshiro, M. M., Metzger, G. S., . . . Hurwitz, B. L. (2017). 16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria. Journal of applied microbiology, 123(6), 1584-1596. doi:10.1111/jam.13590
  107. Weiss, S. L., Peters, M. J., Alhazzani, W., Agus, M. S. D., Flori, H. R., Inwald, D. P., . . . Tissieres, P. (2020). Surviving Sepsis Campaign International Guidelines for the Management of Septic Shock and Sepsis-Associated Organ Dysfunction in Children. Pediatr Crit Care Med, 21(2), e52-e106. doi:10.1097/pcc.0000000000002198
  108. WHO. (2017). Diarrhoeal disease. Retrieved from https://www.who.int/news-room/fact-sheets/detail/diarrhoeal-disease
  109. Yan, Y., Zhang, S., & Tang, Y. W. (2011). Molecular assays for the detection and characterization of respiratory viruses. Semin Respir Crit Care Med, 32(4), 512-526. doi:10.1055/s-0031-1283288
  110. Yoo, I. H., Kang, H. M., Suh, W., Cho, H., Yoo, I. Y., Jo, S. J., . . . Jeong, D. C. (2021). Quality Improvements in Management of Children with Acute Diarrhea Using a Multiplex-PCR-Based Gastrointestinal Pathogen Panel. Diagnostics (Basel), 11(7). doi:10.3390/diagnostics11071175
  111. Yoo, J., Park, J., Lee, H. K., Yu, J. K., Lee, G. D., Park, K. G., . . . Park, Y. J. (2019). Comparative Evaluation of Seegene Allplex Gastrointestinal, Luminex xTAG Gastrointestinal Pathogen Panel, and BD MAX Enteric Assays for Detection of Gastrointestinal Pathogens in Clinical Stool Specimens. Arch Pathol Lab Med, 143(8), 999-1005. doi:10.5858/arpa.2018-0002-OA
  112. Zhan, Z., Guo, J., Xiao, Y., He, Z., Xia, X., Huang, Z., . . . Zhang, J. (2020). Comparison of BioFire FilmArray gastrointestinal panel versus Luminex xTAG Gastrointestinal Pathogen Panel (xTAG GPP) for diarrheal pathogen detection in China. Int J Infect Dis, 99, 414-420. doi:10.1016/j.ijid.2020.08.020
  113. Zhang, H., Morrison, S., & Tang, Y. W. (2015). Multiplex polymerase chain reaction tests for detection of pathogens associated with gastroenteritis. Clin Lab Med, 35(2), 461-486. doi:10.1016/j.cll.2015.02.006

Coding Section 

Code

Number

Description

CPT 

87154 (effective 01/01/2022)

Culture, typing; identification of blood pathogen and resistance typing, when performed, by nucleic acid amplified probe technique  

 

87483

Infectious agent detection by nucleic acid (DNA or RNA); central nervous system pathogen (e.g., Neisseria meningitidis, Streptococcus pneumoniae, Listeria, Haemophilus influenzae, E. coli, Streptococcus agalactiae, enterovirus, human parechovirus, herpes simplex virus type 1 and 2, human herpesvirus 6, cytomegalovirus, varicella zoster virus, Cryptococcus), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 12 – 25 targets

 

87505

Infectious agent detection by nucleic acid (DNA or RNA); gastrointestinal pathogen (e.g., Clostridium difficile, E. coli, Salmonella, Shigella, norovirus, Giardia), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 3 – 5 targets

 

87506 

Infectious agent detection by nucleic acid (DNA or RNA); gastrointestinal pathogen (e.g., Clostridium difficile, E. coli, Salmonella, Shigella, norovirus, Giardia), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 6 – 11 targets 

 

87507 

Infectious agent detection by nucleic acid (DNA or RNA); gastrointestinal pathogen (e.g., Clostridium difficile, E. coli, Salmonella, Shigella, norovirus, Giardia), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 12 – 25 targets 

 

87631

Infectious agent detection by nucleic acid (DNA or RNA); respiratory virus (e.g., adenovirus, influenza virus, coronavirus, metapneumovirus, parainfluenza virus, respiratory syncytial virus, rhinovirus), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 3 – 5 targets

 

87632 

Infectious agent detection by nucleic acid (DNA or RNA); respiratory virus (e.g., adenovirus, influenza virus, coronavirus, metapneumovirus, parainfluenza virus, respiratory syncytial virus, rhinovirus), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 6 – 11 targets

 

87633 

Infectious agent detection by nucleic acid (DNA or RNA); respiratory virus (e.g., adenovirus, influenza virus, coronavirus, metapneumovirus, parainfluenza virus, respiratory syncytial virus, rhinovirus), includes multiplex reverse transcription, when performed, and multiplex amplified probe technique, multiple types or subtypes, 12 – 25 targets 

 

87636 

Infectious agent detection by nucleic acid (DNA or RNA); severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Coronavirus disease [COVID-19]) and influenza virus types A and B, multiplex amplified probe technique 

 

87637 

Infectious agent detection by nucleic acid (DNA or RNA); severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Coronavirus disease [COVID-19]) and influenza virus types A and B, and respiratory syncytial virus, multiplex amplified probe technique 

 

0068U 

Candida species panel (C. albicans, C. glabrata, C. parapsilosis, C. kruseii, C tropicalis, and C. auris), amplified probe technique with qualitative report of the presence or absence of each species
Proprietary test: MycoDART-PCR™ dual amplification real time PCR panel for 6 Candida species
Lab/manufacturer: RealTime Laboratories, Inc/MycoDART, Inc 

 

0086U 

Infectious disease (bacterial and fungal), organism identification, blood culture, using rRNA FISH, 6 or more organism targets, reported as positive or negative with phenotypic minimum inhibitory concentration (MIC)-based antimicrobial susceptibility
Proprietary test: Accelerate PhenoTest™ BC kit
Lab/manufacturer: Accelerate Diagnostics, Inc. 

 

0109U

Infectious disease (Aspergillus species), real-time PCR for detection of DNA from 4 species (A. fumigatus, A. terreus, A. niger, and A. flavus), blood, lavage fluid, or tissue, qualitative reporting of presence or absence of each species

Proprietary test: MYCODART Dual Amplification Real Time PCR Panel for 4 Aspergillus species

Lab/Manufacturer: RealTime Laboratories/MycoDART, Inc

 

0112U

Infectious agent detection and identification, targeted sequence analysis (16S and 18S rRNA genes) with drug-resistance gene
Proprietary test: MicroGenDX qPCR & NGS For Infection
Lab/Manufacturer: MicroGenDX 

 

0115U 

Respiratory infectious agent detection by nucleic acid (DNA and RNA), 18 viral types and subtypes and 2 bacterial targets, amplified probe technique, including multiplex reverse transcription for RNA targets, each analyte reported as detected or not detected
Proprietary test: ePlex Respiratory Pathogen (RP) Panel
Lab/Manufacturer: GenMark Diagnostics, Inc 

 

0140U 

Infectious disease (fungi), fungal pathogen identification, DNA (15 fungal targets), blood culture, amplified probe technique, each target reported as detected or not detected
Proprietary test: ePlex® BCID Fungal Pathogens Panel
Lab/Manufacturer: GenMark Diagnostics, Inc 

 

0141U 

Infectious disease (bacteria and fungi), gram-positive organism identification and drug resistance element detection, DNA (20 gram-positive bacterial targets, 4 resistance genes, 1 pan gram-negative bacterial target, 1 pan Candida target), blood culture, amplified probe technique, each target reported as detected or not detected
Proprietary test: ePlex® BCID Gram-Positive Panel
Lab/Manufacturer: GenMark Diagnostics, Inc 

 

0142U 

Infectious disease (bacteria and fungi), gram-negative bacterial identification and drug resistance element detection, DNA (21 gram-negative bacterial targets, 6 resistance genes, 1 pan gram-positive bacterial target, 1 pan Candida target), amplified probe technique, each target reported as detected or not detected
Proprietary test: ePlex® BCID Gram-Negative Panel
Lab/Manufacturer: GenMark Diagnostics, Inc 

 

0152U 

Infectious disease (bacteria, fungi, parasites, and DNA viruses), DNA, PCR and next-generation sequencing, plasma, detection of >1,000 potential microbial organisms for significant positive pathogens
Proprietary test: Karius® Test
Lab/Manufacturer: Karius Inc 

 

0240U 

Infectious disease (viral respiratory tract infection), pathogen-specific RNA, 3 targets (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], influenza A, influenza B), upper respiratory specimen, each pathogen reported as detected or not detected
Proprietary test: Xpert® Xpress SARSCoV-2/Flu/RSV (SARS-CoV-2 & Flu targets only)
Lab/Manufacturer: Cepheid 

 

0241U 

Infectious disease (viral respiratory tract infection), pathogen-specific RNA, 4 targets (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], influenza A, influenza B, respiratory syncytial virus [RSV]), upper respiratory specimen, each pathogen reported as detected or not detected
Proprietary test: Xpert® Xpress SARSCoV-2/Flu/RSV (all targets)
Lab/Manufacturer: Cepheid 

 

0321U 

Infectious agent detection by nucleic acid (DNA or RNA), genitourinary pathogens, identification of 20 bacterial and fungal organisms and identification of 16 associated antibiotic-resistance genes, multiplex amplified probe technique

Proprietary test: Bridge Urinary Tract Infection Detection and Resistance Test

Lab Manufacturer: Bridge Diagnostics 

 

0323U

Infectious agent detection by nucleic acid (DNA and RNA), central nervous system pathogen, metagenomic next-generation sequencing, cerebrospinal fluid (CSF), identification of pathogenic bacteria, viruses, parasites, or fungi

 

0330U

Infectious agent detection by nucleic acid (ONA or RNA), vaginal pathogen panel, identification of 27 organisms, amplified probe technique, vaginal swab

  0369U (effective 04/01/2023)   Infectious agent detection by nucleic acid (DNA and RNA), gastrointestinal pathogens, 31 bacterial, viral, and parasitic organisms and identification of 21 associated antibiotic-resistance genes, multiplex amplified probe technique
  0370U (effective 04/01/2023)   Infectious agent detection by nucleic acid (DNA and RNA), surgical wound pathogens, 34 microorganisms and identification of 21 associated antibiotic-resistance genes, multiplex amplified probe technique, wound swab
  0371U (effective 04/01/2023)   Infectious agent detection by nucleic acid (DNA or RNA), genitourinary pathogen, semiquantitative identification, DNA from 16 bacterial organisms and 1 fungal organism, multiplex amplified probe technique via quantitative polymerase chain reaction (qPCR), urine
  0373U (effective 04/01/2023)   Infectious agent detection by nucleic acid (DNA and RNA), respiratory tract infection, 17 bacteria, 8 fungus, 13 virus, and 16 antibiotic-resistance genes, multiplex amplified probe technique, upper or lower respiratory specimen
  0374U (effective 04/01/2023)   Infectious agent detection by nucleic acid (DNA or RNA), genitourinary pathogens, identification of 21 bacterial and fungal organisms and identification of 21 associated antibiotic-resistance genes, multiplex amplified probe technique, urine

ICD-10-CM 

A04.0-A04.9 

Other intestinal Escherichia coli infections 

 

A08-A09 

Viral and other specified intestinal infections 

 

A39.0-A39.9 

Meningococcal infection 

 

B86.0

Dehydration  

 

G83.9

Paralytic syndrome, unspecified 

 

J02.0 

Acute pharyngitis, unspecified, Sore throat (acute) NOS 

 

M54.9 

Dorsalgia, unspecified 

 

M62.81 

Muscle weakness (generalized) 

 

M79.62X and M79.63X codes 

Pain in arms 

 

M79.65X and M79.66X codes

Pain in legs 

 

R00.0 

Tachycardia, unspecified 

 

R05 

Cough 

 

R06 Codes 

Dyspnea 

 

R09.81 

Nasal congestion 

 

R09.89 

Other specified symptoms and signs involving the circulatory and respiratory systems 

 

R10.0-R10.9 

Abdominal and pelvic pain 

 

R11.0-R11.2 

Nausea and vomiting 

 

R19.7

Diarrhea, unspecified, Diarrhea NOS 

 

R20.0 

Anesthesia of skin 

 

R25.1 

Tremor, unspecified 

 

R41.0 

Disorientation, unspecified 

 

R41.3 

Other amnesia, Amnesia NOS 

 

R41.840 

Attention and concentration deficit 

 

R47.81 

Slurred speech 

 

R50.81 

Fever presenting with conditions classified elsewhere 

 

R50.9 

Fever, unspecified 

 

R51 

Headache, Facial pain NOS 

 

R56.9 

Unspecified convulsions 

 

R53.81 

Other malaise, Malaise NOS 

 

R68.83

Chills (without fever), Chills NOS

 

R79.89

Other specified abnormal findings of blood chemistry

Procedure and diagnosis codes on Medical Policy documents are included only as a general reference tool for each policy. They may not be all-inclusive. 

This medical policy was developed through consideration of peer-reviewed medical literature generally recognized by the relevant medical community, U.S. FDA approval status, nationally accepted standards of medical practice and accepted standards of medical practice in this community, Blue Cross Blue Shield Association technology assessment program (TEC) and other nonaffiliated technology evaluation centers, reference to federal regulations, other plan medical policies, and accredited national guidelines.

"Current Procedural Terminology © American Medical Association. All Rights Reserved" 

History From 2017 Forward     

03/08/2023 Adding code ‘0369U,  0370U, 0371U, 0373U,  0374U , effective date 04/01/2023
07/28/2022 Annual review, no change to policy intent, but, policy verbiage has been rewritten for clarity.  Also updating description, rationale, references and coding.
06/13/2022 Updating policy with coding. Adding codes 0323U and 0330U

04/13/2022 

Interim review to update coding, removing 0097u and 0151u and adding 0321U. No other changes.

12/8/2021 

Updating policy with 2022 coding. Adding code 87154. No other change made. 

07/12/2021 

Annual review, no change to policy intent. Updating description, rationale and references. 

04/01/2021 

Interim review to update coding. PLA codes 0098U, 0099U and 0100U are being removed. 

07/02/2020 

Annual review, updating coding related to 0068U. 

04/15/2020 

Interim review to add coverage criteria for up to 11 pathogens for the GI panel. Other criteria verbiage updated for clarity. 

01/06/2020 

Interim review adding policy statements regarding molecular detection-based panel testing for UTI and wound infections. Also updating coding. 

07/15/2019 

Annual review, adding urine sample-based tests such as UroSwab to the investigational list for specificity. Updating coding. 

01/08/2019 

Interim review adding SmartGut and SmartJane investigational statement. 

07/18/2018

Annual review, no change to policy intent. Changing month of annual review only.

12/05/2017

New Policy

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