Literature DB >> 30578898

A novel real-time PCR assay panel for detection of common respiratory pathogens in a convenient, strip-tube array format.

Mohammad Rubayet Hasan1, Hassan Al Mana2, Virginia Young3, Patrick Tang4, Eva Thomas4, Rusung Tan4, Peter Tilley5.   

Abstract

Commercial multiplex assays, built on different chemistries and platforms are widely available for simultaneous detection of pathogens that cause respiratory infections. However, these tests are often difficult to implement in a resource limited setting because of high cost. In this study, we developed and validated a method for simultaneous testing of common respiratory pathogens (Respanel) by real-time PCR in a convenient, strip-tube array format. Primers and probes for sixteen PCR assays were selected from the literature or newly designed. Following optimization of individual PCR assays, strip-tube arrays were prepared by dispensing primer-probe mixes (PPM) into two sets of 8-tube strips. Nucleic acid extracts from specimens were mixed with PCR master mix, and dispensed column-wise into 2 × 8-wells of a 96-well plate. PPMs from strip-tubes were then added to the wells using a multichannel pipette for real-time PCR. Individual PCR assays were optimized using previously known specimens (n = 394) with 91%-100% concordance with culture, DFA or PCR results. Respanel was then tested in a routine manner at two different sites using specimens (n = 147) previously tested by Qiagen Resplex I&amp;II or Fast-Track Diagnostics Respiratory Pathogens 21 assays. The sensitivity, specificity and accuracy of Respanel were 94%, 95% and 95%, respectively, against Resplex and 88%, 100% and 99%, respectively, against FTDRP21. Respanel detected more pathogens (p < 0.05) than Resplex but the rate of pathogen detection was not significantly different from FTDRP21. Respanel is a convenient and inexpensive assay that is more sensitive than Resplex and comparable to FTDRP21 for the detection of common respiratory pathogens.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Commercial multiplex assays; Laboratory-developed tests; Real-time PCR; Respiratory pathogens; Validation

Mesh:

Year:  2018        PMID: 30578898      PMCID: PMC7113679          DOI: 10.1016/j.jviromet.2018.12.013

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


Introduction

Acute viral and bacterial respiratory tract infections are among the most common human ailments (Lee et al., 2016; Lim et al., 2016). Symptoms range in severity from mild upper respiratory tract infections (URTI) to serious lower respiratory tract infections (LRTI), many of which are associated with significant morbidity and mortality particularly in children, the elderly and those who are immunocompromised or have underlying comorbidities such as congenital heart defect or chronic respiratory disease (Amalakuhan et al., 2017; Bartlett, 2011; Granbom et al., 2016; Jain et al., 2015; Maselli et al., 2017; Niederman and Fein, 1986; Pavia, 2011). These infections contribute to an increased burden of Emergency Department visits during the winter season, leading to longer waiting times and higher health care costs, and are a common reason for hospital admission (Lode, 2007; Müller-Pebody et al., 2006; Pfuntner et al., 2013; Xu et al., 2013). They also account for the majority of antibiotic prescriptions, particularly in children, in spite of the fact that most of the infections will resolve on their own without medical intervention. The specific diagnosis of bacterial versus viral infection cannot conclusively be made on clinical examination alone and, as the symptoms overlap significantly, the physician may order diagnostic tests and empirically prescribe antibiotics (Xu et al., 2013). Traditionally, the laboratory diagnosis of respiratory infections has been a lengthy procedure, using bacterial and viral culture or relatively insensitive techniques such as immunofluorescence (IFA) and rapid enzyme immune assays (EIA) (Lode, 2007; Bartlett, 2011; Kellogg, 1990; Tenover, 2011; Chartrand et al., 2012; Chartrand et al., 2015; Blasi, 2004). These test modalities can identify a limited number of organisms such as respiratory syncytial virus (RSV), influenza and parainfluenza viruses, and bacteria such as Streptococcus pneumoniae. With the introduction of rapid molecular tests we now know that the list of common agents known to cause respiratory infections is much longer than previously thought and the laboratory diagnostic options to detect respiratory pathogens have improved significantly (Blasi, 2004; Jain et al., 2015; Niederman and Fein, 1986; Rea-Neto et al., 2008). Molecular tests offer many advantages including a rapid response time and the ability to detect organisms that will not grow in culture. In addition these tests allow detection of bacteria in patients where antimicrobial treatment has been initiated prior to collection of the sample. We now have access to accurate and rapid multiplex assays simultaneously detecting both viral and bacterial pathogens within a few hours. The ability to diagnose co-infections is a significant improvement as these can be associated with increased morbidity and mortality (Burk et al., 2016; Marcos et al., 2009; Rea-Neto et al., 2008). Rapid molecular tests have been shown to reduce the length of hospital stay and the cost of testing for those with viral respiratory testing and has facilitated a more targeted approach to patients presenting with respiratory infections with respect to treatment regimens, need for admission and infection control concerns (Barenfanger et al., 2000; Ljungström et al., 2017; Pavia, 2011; Woo et al., 1997). A wide range of chemistries and platforms are now commercially available for molecular testing of common respiratory pathogens. Examples include BIOFIRE® FILMARRAY® Respiratory Panel (Biomerieux) that enables detection and identification of multiple organisms based on nested PCR and melt-curve analysis (Poritz et al., 2011). A similar test kit, in terms of workflow and pathogen targets, is ePlex® Respiratory Pathogen Panel (GenMark Dx) which makes use of signal probes and capture probes to electrochemically detect target pathogens (Genmark, 2018). Both systems fully automate nucleic acid extraction, amplification or probe hybridization and detection. Also, these tests are very easy to perform, provide faster results (<1 h) and require very little hands on time (∼2 min). On the other hand, xTAG® Respiratory Viral Panel (Luminex) and Resplex I&II (Qiagen) assays require nucleic acid extraction and amplification of targets prior to probe hybridization, labelling and detection by a flow cytometric method on a Luminex xMAP system (Salez et al., 2015). Multiplex, real-time PCR based kits are also available such as Fast-Track Diagnostics Respiratory pathogens 21 (FTDRP21) (Siemens Healthineers) is a five tube multiplex PCR assay to detect a total of 23 pathogen targets (Barratt et al., 2017). The test kit provides reagents only and the users can run the tests using their own nucleic acid extraction platforms and real-time PCR systems. While most commercial assays are rapid and convenient and their performance characteristics meet regulatory requirements, they are invariably expensive, which may be difficult to implement in resource poor settings. Also, commercial test kits are not uniformly available throughout the world. Timely delivery of test kits and reagents are critical for smooth operation of diagnostic laboratories and a delay in shipping may adversely affect the management of patients with respiratory infections. Furthermore, commercial tests are not free of technical limitations. Some tests may be difficult to interpret due to background signals or ambiguous results from multiple targets in the same reaction. It is also difficult to troubleshoot commercial assays because of proprietary test characteristics. In addition, commercial assays cannot be quickly modified when new pathogens or new strains of known pathogens emerge which are missed by the existing assays. Therefore, in this study, we developed an in-house PCR assay panel (Respanel) customized to detect the most common, and clinically significant respiratory pathogens. The assay was designed to use pre-aliquoted assay-specific reagents in strip-tubes for convenience, and to reduce the hands-on time required to perform multiple reactions for each patient specimen. The performance characteristics of Respanel assay were compared with two commercially available assays.

Materials and methods

Clinical specimens

For individual validation of PCR assays for different pathogens, 34 reference bacterial and viral strains from American Type Culture Collection (ATCC) (Supplemental Table 1), a total of 363 nasopharyngeal wash (NPW) and nasopharyngeal flocked swab (NPFS) specimens, 23 serum specimens, 4 pleural fluid (PF) specimens, 4 cerebrospinal fluid (CSF) specimens and 68 external quality assessment (EQA) specimens were used. These specimens were submitted to the Microbiology and Virology laboratory of BC Children’s Hospital, Canada (between January 2012 to January 2013) for testing either by culture or by molecular methods. For validation of the full PCR panel, 34 NPW or NPFS specimens that tested positive or negative for various pathogens by Resplex I and II (Qiagen) assays were selected from the same site. An additional 113 NPW or NPFS specimens were tested at Sidra Medicine, Qatar. These specimens include external quality assessment (EQA) specimens from College of American Pathologists (CAP), validation specimens and clinical specimens collected at Sidra Medicine from May 2016 to August 2017, and were previously tested for respiratory pathogens by FTD Respiratory pathogens 21 (FTDRP21) assay (Siemens Healthineers). Resplex and FTDRP21 assays were performed according to laboratory standard operating procedures based on manufacturer’s instructions. Specimens or nucleic acid extracts were maintained at −80 °C following initial testing. Testing was performed exclusively on retrospective, residual samples. To maintain patient anonymity, each sample was coded and all patient identifiers were removed to ensure that personnel involved in this study were unaware of any patient information. Ethics approval was not sought because studies that involve the secondary use of anonymous human biological materials are exempted from review by the local Research Ethics Board of the University of British Columbia and Sidra Medicine.

Nucleic acid extraction

At BC Children’s Hospital, nucleic acids from 0.35 ml NPW or NPFS specimens were extracted using the QIAsymphony virus/bacteria kit in an automated nucleic acid extraction platform, QIAsymphony SP (Qiagen, USA). At Sidra Medicine, nucleic acids from 0.5 ml of NPW or NPFS specimens were extracted on a NucliSENS® easyMAG platform (bioMérieux, France) according to the methods described by the manufacturers.

Real-time PCR

Primers and probes for sixteen PCR assays were either obtained from previously published assays or newly designed, in this study by using the Primer Express software v3.0.1 (Life Technologies) (Supplemental Table 2). The in silico specificity of the amplicon sequence for the target pathogen was confirmed by nucleotide blast search against the NCBI non-redundant nucleotide database (nr/nt) (Altschul et al., 1997). Each PCR assay was individually tested and validated using reference bacterial or viral strains and clinical samples that were previously tested by a reference method such as culture, direct fluorescent antibody (DFA) tests, Resplex I & II assays (Qiagen) or an alternative PCR. Apart from Resplex assays, standard PCR assays that were available for comparison were a commercial assay for enterovirus (Trimgen Genetic Diagnostics, USA) and previously validated laboratory developed tests (LDTs) for adenovirus, influenza A, human metapneumovirus, Streptococcus pneumoniae, Mycoplasma pneumoniae and Bordetella pertussis, For PCR, 5 μl of sample extract was mixed with 20 μl of a master mix containing 12.5 μl of 2x QuantiTect Probe RT-PCR Master Mix, 0.25 μl of QuantiTect RT Mix (Qiagen, USA) and primers and probes to final concentrations shown in Supplemental Table 2. Thermal cycling was performed in a ABI7500 Fast instrument (Thermofisher Scientific, USA) with 1 cycle of reverse transcription at 50 °C for 30 min followed by 1 cycle of denaturation at 95 °C for 15 min, followed by 40 amplification cycles each consisting of 94 °C-15 s and 60 °C-60 s. DNA extraction and PCR inhibition was monitored by an internal control PCR assay, using the primers and probes shown in Supplemental Table 2. For use as positive control 4 plasmids harboring amplicon sequences of all Respanel targets were custom made (Integrated DNA Technologies), diluted to 106 copies/ml, mixed and aliquoted for use with each PCR runs. The aliquots of positive control were stored at −20 °C. For negative controls, 0.2 ml neonatal calf serum (NCS) (Thermofisher Scientific, USA) spiked with 105 copies of a plasmid, harboring target amplicon sequence of IC, were extracted along with specimens and used with each PCR runs. The target IC is a randomly generated sequence with no known homology to any sequences in the nucleotide database (Altschul et al., 1997).

Preparation of strip-tube arrays

A mixed working stock of primers and probe(s) for each of the assays were prepared to a total volume of 2 ml, according to the working stock concentrations shown in supplemental Table 2. Ten μl of primer and probe mix (PPM) for each assay was dispensed into the tubes of MicroAmp Fast 8-Tube Strips (without cap) (Thermofisher Scientific, USA) according to Fig. 1 . Strip-tubes were placed in 96-well PCR tube racks and PPMs were dispensed either with the aid of multichannel, dispensing pipettes (Eppendorf, USA) or in an automated liquid handler (Perkin Elmer, USA) into two sets of strip-tubes labeled as panel I and panel II. The strips were marked at one end with different colors for Panel I and Panel II to maintain proper orientation. Tubes were then covered with MicroAmp Optical Adhesive Film and pressed and sealed using MicroAmp Adhesive Film Applicator (Thermofisher Scientific, USA). Optical adhesive film covers were then cut vertically between the columns of tubes in each rack using a clean scalpel and panel I and II strips were stored in separate boxes at −20 °C. For each batch, quality control of prepared test strips was performed by testing a randomly selected set of test strips against known positive and negative controls for all the PCR targets.
Fig. 1

Respanel assay workflow.

Respanel assay workflow.

Respanel PCR assay

For each sample, one panel I strip and one panel II strip were thawed, centrifuged briefly to bring the contents to the bottom of the tubes, and placed in a 96-well PCR tube rack. A sample mix was then prepared with 88 μl of extracted nucleic acid from the specimen to be analyzed, 220 μl of 2x QuantiTect Probe RT-PCR Master Mix and 4.4 μl of QuantiTect RT Mix (Qiagen, USA). Ten percent extra volume was added to the required volume for all components, to account for pipetting error. Next, using an electronic dispensing pipette (Eppendorf, USA), 17.5 μl of sample mix was dispensed into the 16-wells of the 96-well PCR plate, in the two adjacent columns as shown in Fig. 1. Alternatively, 88 μl of nucleic acid extracts were mixed with 88 μl of TaqPath™ 1-Step Multiplex Master Mix (No ROX) (Thermofisher Scientific, USA) and 44 μl of nuclease free water (Thermofisher Scientific, USA). 12.5 μl of sample mix was dispensed in the same way. Each PPM, in a volume of 7.5 μl, from panel I and panel II strips were then transferred to the respective wells of the PCR plate using a multichannel pipette. The PCR plate was covered with adhesive film and thermal cycling was performed on an ABI7500 Fast instrument as described above (Thermofisher Scientific, USA). Test results did not vary when tests were performed in parallel with two different master mixes in a set of known specimens (data not shown).

Statistical analysis

For all pathogen targets, sensitivity, defined as the number of true positive results divided by the sum of true positive and false negative results; specificity, defined as the number of true negative results divided by the sum of true negative and false positive results; positive predictive value (PPV), defined as the number of true positive results divided by the sum of true positive and false positive results; negative predictive value (NPV), defined as the number of true negative results divided by the sum of true negative and false negative results; and accuracy (concordance), defined as the sum of true positive and true negative results divided by the total number of test samples, were calculated and expressed as percentages. Ninety-five percent confidence intervals (CI) for sensitivity, specificity and accuracy were calculated by the Clopper-Pearson interval or exact method using an online, diagnostic test evaluation calculator (MedCalc, 2018). Correlation between the results of different assays was determined by Cohen’s kappa test. Briefly, true positive, true negative, false positive and false negative results were tallied in a 2 × 2 table and the number of observed agreements with kappa correlation coefficient was calculated using the GraphPad QuickCalcs online tool (GraphPad, 2018). The significance of differences in pathogen detection rates between Respanel versus Resplex and Respanel versus FTDRP21 were calculated by 2-tailed, paired Student’s t-test.

Results

Respanel PCR assays included singleplex assays for Streptococcus pneumoniae, Bordetella pertussis, adenovirus, human metapneumovirus, influenza A, parainfluenza virus 3, respiratory syncytial virus, enterovirus, rhinovirus, and bocavirus and duplex assays for Mycoplasma pneumoniae and Chlamydophila pneumoniae, influenza B and an internal control (IC), parainfluenza virus 1 and parainfluenza virus 2, coronavirus 229E and coronavirus OC43, and coronavirus NL63 and coronavirus HKU1, respectively. Test comparisons were only made between results for matching pathogens. Resplex assays included all Respanel targets except Bordetella pertussis and also included Neisseria meningitidis, Haemophilus influenzae and Legionella pneumophila which are not included in Respanel. Similarly, FTDRP21 assays include influenza A(H1N1)pdm09 virus, human parainfluenza virus 4, human parechovirus, Haemophilus influenzae B and Staphylococcus aureus that are not included in Respanel. PCR conditions for all targets included in Respanel were first optimized using ATCC strains or EQA panels. Primer and probe concentrations were adjusted for maximum analytical sensitivity and specificity (Supplemental Table 2). In some cases such as influenza B and enterovirus, multiple primer and probe sets were tested for superior performance. Due to possible cross-reactivity of enterovirus and rhinovirus primers and probes with their respective targets, an additional PCR reaction was added for enterovirus 68 in order to correctly assign results for enteroviruses and rhinoviruses. PCR assays were then tested individually using PCR, DFA or culture confirmed specimens (n = 394). The number of specimens tested (including ATCC strains and EQA panels) for different pathogens, and test results and performance compared to the reference results are shown in Table 1 .
Table 1

Comparison of individual PCR assays included in Respanel against different reference methods.

PCR assaySample descriptionReference methodsTotal number of samplesTPFPTNFNSensitivity (%)Specificity (%)PPV (%)NPV (%)Accuracy (%)
AdenovirusQCMD EQA specimensATCCClinical samplesCulturePCRResplex442012038795958791
Human MetapneumovirusQCMD EQA specimensCAP EQA specimensClinical samplesPCRDFA24100140100100100100100
Influenza AQCMD EQA specimensClinical samplesPCRDFAResplex28170101941001009196
Influenza BQCMD EQA specimensClinical samplesDFAResplex42110310100100100100100
Parainfluenza virus 1CAP EQA specimensClinical samplesCultureDFAResplex38100271911001009697
Parainfluenza virus 2CAP EQA specimensClinical samplesCultureDFAResplex3870301881001009797
Parainfluenza virus 3CAP EQA specimensClinical samplesCultureDFAResplex33120192861001009094
Respiratory Syncytial VirusQCMD EQA specimensClinical samplesDFAResplex52291220100969710098
EnterovirusQCMD EQA specimensATCCClinical samplesCulturePCRResplex44240173891001008593
RhinovirusQCMD EQA specimensATCCClinical samplesCultureResplex44120320100100100100100
BocavirusClinical samplesResplex30140160100100100100100
Coronavirus 229EClinical samplesResplex2230172601001008991
Coronavirus OC43Clinical samplesResplex2210210100100100100100
Coronavirus NL63Clinical samplesResplex2270150100100100100100
Coronavirus HKU1Clinical samplesResplex2240180100100100100100
Mycoplasma pneumoniaeATCCClinical samplesCultureResplex52140380100100100100100
Streptococcus pneumoniaeATCCClinical samplesCulturePCR3690270100100100100100
Chlamydophila pneumoniaeATCCClinical samplesCulture5230490100100100100100
Bordetella pertussisQCMD EQA specimensATCCClinical samplesCulturePCR1252519819699969998

QCMD = Quality Control for Molecular Diagnostics, CAP = College of American Pathologists, EQA = External Quality Assessment, ATCC = American Type Culture Collection, DFA = Direct Fluorescent Antibody, TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6).

Comparison of individual PCR assays included in Respanel against different reference methods. QCMD = Quality Control for Molecular Diagnostics, CAP = College of American Pathologists, EQA = External Quality Assessment, ATCC = American Type Culture Collection, DFA = Direct Fluorescent Antibody, TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6). Next, a total of 34 nasopharyngeal wash specimens that were previously tested by Resplex I and II were tested by Respanel assay as described in the materials and methods. The overall, observed agreement with Resplex I and II assays was 95% (548/578) (kappa = 0.722; 95%CI: 0.629-0.816). In total, 72 pathogens were identified in these samples by Respanel compared to 48 pathogens identified by Resplex assays (Table 2 ). Twenty four out of 27 pathogens that were undetectable by the Resplex assays had higher CT values (>30) by real-time PCR (data not shown).
Table 2

Comparison of Respanel against Resplex I & II with 34 respiratory samples.

OrganismTPFPTNFNSensitivity (%)Specificity (%)PPV (%)NPV (%)Accuracy (%)
Adenovirus10312331001009494
Human Metapneumovirus10330100100100100100
Influenza A26260100812510082
Influenza B00340100100100
Parainfluenza Virus 110330100100100100100
Parainfluenza Virus 221310100976710097
Parainfluenza Virus 30331091010091
Respiratory Syncytial Virus31300100977510097
aEnterovirus/Rhinovirus1261519271679479
Bocavirus62260100937510094
Coronavirus 229E00340100100100
Coronavirus OC4320320100100100100100
Coronavirus NL6311320100975010097
Coronavirus HKU100340100100100
Mycoplasma pneumoniae41290100978010097
Streptococcus pneumoniae105190100796710085
Chlamydophila pneumoniae0133097010097

TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6).

Enterovirus and Rhinovirus results were compared together because Resplex Enterovirus and Rhinovirus assays were reported in aggregate.

Comparison of Respanel against Resplex I & II with 34 respiratory samples. TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6). Enterovirus and Rhinovirus results were compared together because Resplex Enterovirus and Rhinovirus assays were reported in aggregate. Similarly, 113 NPW or NPFS specimens that were previously tested by FTDRP21 assay were retested by Respanel. The overall, observed agreement with FTDRP21 assay was ∼99.2% (1905/1921) (kappa = 0.896; 95%CI: 0.845-0.946). In total, 78 pathogens were identified in these samples by Respanel and 82 pathogens were identified by FTDRP21 assay (Table 3 ). Respanel detected 6 pathogens that were not detected by FTDRP21. On the other hand FTDRP21 assay detected 10 pathogens that were not detected by Respanel.
Table 3

Comparison of Respanel against FTDRP21 with 113 respiratory samples.

OrganismTPFPTNFNSensitivity (%)Specificity (%)PPV (%)NPV (%)Accuracy (%)
Adenovirus701060100100100100100
Human Metapneumovirus201101671001009999
Influenza A401081801001009999
Influenza B301100100100100100100
Parainfluenza virus 1301100100100100100100
Parainfluenza virus 2201110100100100100100
Parainfluenza virus 3501071831001009999
Respiratory Syncytial Virus801050100100100100100
Enterovirus3110817599759998
Rhinovirus1819138699959796
Bocavirus3110817599759998
Coronavirus 229E301091751001009999
Coronavirus OC43301100100100100100100
Coronavirus NL63411080100998010099
Coronavirus HKU1111110100995010099
Mycoplasma pneumoniae3110817599759998
Chlamydophila pneumoniae001130100100100

TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6).

Comparison of Respanel against FTDRP21 with 113 respiratory samples. TP = True positive, FP = False positive, TN = True negative, FN = False negative, PPV = Positive predictive value, NPV = Negative predictive value. Sensitivity, specificity, PPV, NPV and accuracy were calculated as defined in the materials and methods (Section 2.6). The sensitivity, specificity, PPV, NPV and accuracy of results obtained by Respanel assay were calculated against both Resplex I & II and FTDRP21 assays. The specificity and accuracy of Respanel results were ≥95% against both commercial assays. Sensitivity of Respanel was 94% and 88% against Resplex and FTDRP21assays, respectively (Table 4 ). When results for each of the individual pathogens were compared, Respanel assay results were more correlated to FTDRP21 assay than Resplex assays (Table 2, Table 3).The reagent and consumable cost of Respanel is approximately one-fourth of the Resplex assay and requires less than 10 min of hands-on time per sample, apart from the initial effort required for producing PCR-ready aliquots of primer/probe mixes in PCR strip-tubes.
Table 4

Diagnostic performance of Respanel compared to Resplex and FTDRP21 assays.

StatisticsResplex I&IIFTDRP21
Total number of results5781921
True positive4572
True negative5031833
False positive276
False negative310
Sensitivity94% (95% CI: 83%-99%)88% (95% CI: 79%-94%)
Specificity95% (95% CI: 93%-97%)100% (95% CI: 99%-100%)
Positive predictive value (PPV)63% (95% CI: 53%-71%)92% (95% CI: 84%-96%)
Negative predictive value (NPV)99% (95% CI: 98%-100%)99% (95% CI: 99%-100%)
Accuracy95% (95% CI: 93%-96%)99% (95% CI: 99%-100%)
Diagnostic performance of Respanel compared to Resplex and FTDRP21 assays.

Discussion

Molecular assays for simultaneous detection of common respiratory pathogens are now widely used, replacing many conventional diagnostic methods such as culture and antigen detection assays. Implementation of these tests have resulted in increased identification of causative pathogens for acute upper and lower respiratory tract infections. In addition, a significant decrease in turn-around time (TAT) has allowed for more timely implementation of appropriate isolation precaution measures and reduced use of inappropriate antibiotics (Keske et al., 2018; Ko and Drews, 2017; Nijhuis et al., 2017; van Rijn et al., 2018). A wide range of multiplex assays are now available commercially which differ in their use of chemistry, optics and the level of automation. Many test methods have also been described in the literature for potential use as laboratory-developed tests (LDT) (Boivin et al., 2004; Feng et al., 2018; Loens et al., 2012; Létant et al., 2007; Nijhuis et al., 2017). To make an appropriate choice, a careful assessment of performance characteristics as well as costs and benefits associated with the test method is necessary. Ideally, when performance characteristics of test methods are comparable and meet regulatory requirements, a test method and a platform that provides rapid TAT and requires minimum technical skill and hands on time would be preferable. However, the costs associated with the platform, such as test kits and service contracts may not be affordable to many laboratories. Furthermore, because the majority of these test platforms are closed systems it is difficult to troubleshoot ambiguous results and test failures in a timely manner without active and continuous support from the vendor. LDTs on the other hand necessitate more labour and responsibilities for the laboratory in order to maintain the quality of the test. Substantial molecular biology expertise and effort are also necessary for validation of LDTs. However, LDTs are less expensive and can be tailored specifically to needs of the laboratory and the patient population it serves. An additional advantage is that LDTs can be updated rapidly to make the test inclusive for a new pathogen of interest or an emerging variant of a known pathogen. Logistically, if stored properly, primers and probes used in PCR based LDTs may have a longer shelf life than the manufacturer recommended shelf life of commercial kits. The purpose of this study was to develop a laboratory-developed, real-time PCR based test panel for selected respiratory pathogens with minimum multiplexing and in a format so that minimum hands-on time is required. Accordingly, we designed our workflow so that assay specific reagents are ready to be used for routine testing (Fig. 1). We also minimized repeated pipetting through the use of multichannel pipettes for faster transfer of reagents and to prevent pipetting error. An alternative to our approach is to lyophilize pre-dispensed primer and probe mix (PPM) in 96-well PCR plates, which we have not yet tested. Although this approach would reduce labour and the time required for reagent transfer with a multichannel pipette, the disadvantages include the additional labour and facility requirements for lyophilization and that the entire plate would be used up in every PCR run irrespective of the number of samples on the plate. The pre-aliquoted primer and probe mixes in 8-tube strips can be prepared once in 3 months, 6 months or 1 year according to laboratory needs. Preparation of primer/probe mixes and 100 test strips for each of Panel I and II may take one FTE technologist time up to 8 h. We noted that in an automated liquid handler (Perkin Elmer, USA), preparation of the same number of test strips takes about 2 h. Furthermore, the use of automated liquid handlers may prevent human errors in pipetting and potential cross-contamination of reagents from aerosol generation. After initial optimization of PCR conditions, Respanel assay was validated in three steps. First, the accuracy of results obtained by each PCR assay was compared with results obtained by bacterial or viral culture, DFA, Resplex and standard PCR assays offered by the Microbiology and Virology laboratories of BC Children’s Hospital, Canada. Next test comparisons were made with Resplex and FTDRP21 assays at two different laboratories using nasopharyngeal specimens. Despite multiple test types used as reference methods, Respanel assay demonstrated 82%–100% (Table 1, Table 2, Table 3) concordance with the reference methods. Respanel detected significantly more pathogens than Resplex (p = 0.015 by Student’s T-test) but was not different than the FTDRP21 panel (p = 0.27 by Student’s T-test) (data not shown). This is consistent with the fact that Respanel and FTDRP21 are both real-time PCR based methods, while Resplex assay employed a different chemistry based on highly multiplexed PCR, probe hybridization and flow cytometry. To our knowledge, this is the first report of a strip-tube array based, clinical laboratory developed PCR test panel for respiratory pathogens designed for cost savings, convenience and superior or equivalent performance compared to commercial assays. Furthermore, the laboratory developed, Respanel has the additional advantage of flexibility to update, modify, incorporate or replace pathogen targets as required, and to serve specific patient populations with acute respiratory infections.
  35 in total

Review 1.  Systematic review and meta-analysis of respiratory viral coinfections in children.

Authors:  Faye Janice Lim; Nicholas de Klerk; Christopher C Blyth; Parveen Fathima; Hannah C Moore
Journal:  Respirology       Date:  2016-02-25       Impact factor: 6.424

Review 2.  Diagnostic tests for agents of community-acquired pneumonia.

Authors:  John G Bartlett
Journal:  Clin Infect Dis       Date:  2011-05       Impact factor: 9.079

Review 3.  Managing community acquired pneumonia in the elderly - the next generation of pharmacotherapy on the horizon.

Authors:  B Amalakuhan; K L Echevarria; M I Restrepo
Journal:  Expert Opin Pharmacother       Date:  2017-06-21       Impact factor: 3.889

4.  Community-acquired pneumonia requiring hospitalization among U.S. children.

Authors:  Seema Jain; Derek J Williams; Sandra R Arnold; Krow Ampofo; Anna M Bramley; Carrie Reed; Chris Stockmann; Evan J Anderson; Carlos G Grijalva; Wesley H Self; Yuwei Zhu; Anami Patel; Weston Hymas; James D Chappell; Robert A Kaufman; J Herman Kan; David Dansie; Noel Lenny; David R Hillyard; Lia M Haynes; Min Levine; Stephen Lindstrom; Jonas M Winchell; Jacqueline M Katz; Dean Erdman; Eileen Schneider; Lauri A Hicks; Richard G Wunderink; Kathryn M Edwards; Andrew T Pavia; Jonathan A McCullers; Lyn Finelli
Journal:  N Engl J Med       Date:  2015-02-26       Impact factor: 91.245

Review 5.  Pneumonia in the elderly.

Authors:  M S Niederman; A M Fein
Journal:  Clin Geriatr Med       Date:  1986-05       Impact factor: 3.076

Review 6.  Atypical pathogens and respiratory tract infections.

Authors:  F Blasi
Journal:  Eur Respir J       Date:  2004-07       Impact factor: 16.671

Review 7.  Inhaled Antibiotic Therapy in Chronic Respiratory Diseases.

Authors:  Diego J Maselli; Holly Keyt; Marcos I Restrepo
Journal:  Int J Mol Sci       Date:  2017-05-16       Impact factor: 5.923

8.  Clinical implications of rapid ePlex® Respiratory Pathogen Panel testing compared to laboratory-developed real-time PCR.

Authors:  Anneloes L van Rijn; Roel H T Nijhuis; Vincent Bekker; Geert H Groeneveld; Els Wessels; Mariet C W Feltkamp; Eric C J Claas
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-12-08       Impact factor: 3.267

Review 9.  Diagnosis of ventilator-associated pneumonia: a systematic review of the literature.

Authors:  Alvaro Rea-Neto; Nazah Cherif M Youssef; Fabio Tuche; Frank Brunkhorst; V Marco Ranieri; Konrad Reinhart; Yasser Sakr
Journal:  Crit Care       Date:  2008-04-21       Impact factor: 9.097

10.  A multiplex one-tube nested real time RT-PCR assay for simultaneous detection of respiratory syncytial virus, human rhinovirus and human metapneumovirus.

Authors:  Zhi-Shan Feng; Li Zhao; Ji Wang; Fang-Zhou Qiu; Meng-Chuan Zhao; Le Wang; Su-Xia Duan; Rui-Qing Zhang; Chen Chen; Ju-Ju Qi; Tao Fan; Gui-Xia Li; Xue-Jun Ma
Journal:  Virol J       Date:  2018-10-30       Impact factor: 4.099

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  3 in total

1.  Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA.

Authors:  Mohammad Rubayet Hasan; Faheem Mirza; Hamad Al-Hail; Sathyavathi Sundararaju; Thabisile Xaba; Muhammad Iqbal; Hashim Alhussain; Hadi Mohamad Yassine; Andres Perez-Lopez; Patrick Tang
Journal:  PLoS One       Date:  2020-07-24       Impact factor: 3.240

2.  Design and Evaluation of a Macroarray for Detection, Identification, and Typing of Viral Hemorrhagic Septicemia Virus (VHSV).

Authors:  Carmen López-Vázquez; Isabel Bandín; Carlos P Dopazo
Journal:  Animals (Basel)       Date:  2021-03-16       Impact factor: 2.752

3.  Correlation between the Antibiotic Resistance Genes and Susceptibility to Antibiotics among the Carbapenem-Resistant Gram-Negative Pathogens.

Authors:  Salma M Abdelaziz; Khaled M Aboshanab; Ibrahim S Yahia; Mahmoud A Yassien; Nadia A Hassouna
Journal:  Antibiotics (Basel)       Date:  2021-03-04
  3 in total

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