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van der Westhuizen C, Newton-Foot M, Nel P. Performance comparison of three commercial multiplex molecular panels for respiratory viruses at a South African academic hospital. Afr J Lab Med 2024; 13:2415. [PMID: 39228900 PMCID: PMC11369576 DOI: 10.4102/ajlm.v13i1.2415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/29/2024] [Indexed: 09/05/2024] Open
Abstract
Background Respiratory infections are a major contributor to hospital admissions. Identification of respiratory pathogens by means of conventional culture and serology methods remains challenging. Multiplex molecular assays are an appealing alternative that endeavours to be rapid, more accurate and less arduous. Objective The study aimed to compare the clinical performance of three commercial multiplex molecular assays for respiratory viruses. Methods Forty-eight respiratory specimens obtained from patients at Tygerberg Hospital in the Western Cape province of South Africa were studied. These specimens were collected between May 2020 and August 2020. The results of the Seegene Anyplex™ II RV16, FilmArray® Respiratory 2.1 plus Panel (FARP), and QIAstat-Dx® Respiratory SARS-CoV-2 Panel (QRP) were analysed based on the overlapping targets. A composite reference standard was applied to provide a standard reference for comparison. Results The overall sensitivity of the Seegene Anyplex™ II RV16 was 96.6% (57/59), the FARP 98.2% (56/57) and the QRP 80.7% (46/57). The overall specificities were 99.8% (660/661), 99.0% (704/711) and 99.7% (709/711), respectively. The QRP failed to detect coronaviruses and parainfluenza viruses in 41.7% (5/12) and 28.6% (4/14) of positive specimens, respectively, while the FARP produced the lowest target specificity of 88.4% (38/43) for rhinovirus/enterovirus. Conclusion The overall specificity of all three platforms was comparable; however, the sensitivity of the QRP was inferior to that of the ARV and FARP. What this study adds This study adds to the body of performance characteristics described for respiratory multiplex panels, especially in the African context where molecular diagnostics for infectious diseases are gaining momentum.
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Affiliation(s)
- Clinton van der Westhuizen
- Division of Medical Microbiology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Medical Microbiology, Tygerberg Hospital, National Health Laboratory Service, Cape Town, South Africa
| | - Mae Newton-Foot
- Division of Medical Microbiology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Medical Microbiology, Tygerberg Hospital, National Health Laboratory Service, Cape Town, South Africa
| | - Pieter Nel
- Division of Medical Microbiology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Medical Microbiology, Tygerberg Hospital, National Health Laboratory Service, Cape Town, South Africa
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2
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Dong C, Li F, Sun Y, Long D, Chen C, Li M, Wei T, Martins RP, Chen T, Mak PI. A syndromic diagnostic assay on a macrochannel-to-digital microfluidic platform for automatic identification of multiple respiratory pathogens. LAB ON A CHIP 2024; 24:3850-3862. [PMID: 37961846 DOI: 10.1039/d3lc00728f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The worldwide COVID-19 pandemic has changed people's lives and the diagnostic landscape. The nucleic acid amplification test (NAT) as the gold standard for SARS-CoV-2 detection has been applied in containing its transmission. However, there remains a lack of an affordable on-site detection system at resource-limited areas. In this study, a low cost "sample-in-answer-out" system incorporating nucleic acid extraction, purification, and amplification was developed on a single macrochannel-to-digital microfluidic chip. The macrochannel fluidic subsystem worked as a world-to-chip interface receiving 500-1000 μL raw samples, which then underwent bead-based extraction and purification processes before being delivered to DMF. Electrodes actuate an eluent dispensed to eight independent droplets for reverse transcription quantitative polymerase chain reaction (RT-qPCR). By reading with 4 florescence channels, the system can accommodate a maximum of 32 detection targets. To evaluate the proposed platform, a comprehensive assessment was conducted on the microfluidic chip as well as its functional components (i.e., extraction and amplification). The platform demonstrated a superior performance. In particular, using clinical specimens, the chip targeting SARS-CoV-2 and Flu A/B exhibited 100% agreement with off-chip diagnoses. Furthermore, the fabrication of chips is ready for scaled-up manufacturing and they are cost-effective for disposable use since they are assembled using a printed circuit board (PCB) and prefabricated blocks. Overall, the macrochannel-to-digital microfluidic platform coincides with the requirements of point-of-care testing (POCT) because of its advantages: low-cost, ease of use, comparable sensitivity and specificity, and availability for mass production.
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Affiliation(s)
- Cheng Dong
- School of Intelligent Systems Science and Engineering/JNU-Industry School of Artificial Intelligence, Jinan University, Zhuhai 519000, China
| | - Fei Li
- Department of Biomedical Engineering, Jinan University, Guangzhou, 510632, China
- Digifluidic Biotech Ltd., Zhuhai 519000, China.
| | - Yun Sun
- Digifluidic Biotech Ltd., Zhuhai 519000, China.
| | - Dongling Long
- Zhuhai Center for Disease Control and Prevention, Zhuhai 519087, China
| | - Chunzhao Chen
- Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhu Hai 519087, China
| | - Mengyan Li
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, 07102, USA
| | - Tao Wei
- Department of Bioengineering, College of Food Science, South China Agricultural University, Guangzhou, 510640, China
- Pan Asia (Jiangmen) Institute of Biological Engineering and Health, Jiangmen, 529080, China
| | - Rui P Martins
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Taipa, Macau SAR, 999078, China.
| | | | - Pui-In Mak
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Taipa, Macau SAR, 999078, China.
- Faculty of Science and Technology, University of Macau, Taipa, Macau SAR, 999078, China
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Challen R, Chatzilena A, Qian G, Oben G, Kwiatkowska R, Hyams C, Finn A, Tsaneva-Atanasova K, Danon L. Combined multiplex panel test results are a poor estimate of disease prevalence without adjustment for test error. PLoS Comput Biol 2024; 20:e1012062. [PMID: 38669293 PMCID: PMC11078360 DOI: 10.1371/journal.pcbi.1012062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 05/08/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Multiplex panel tests identify many individual pathogens at once, using a set of component tests. In some panels the number of components can be large. If the panel is detecting causative pathogens for a single syndrome or disease then we might estimate the burden of that disease by combining the results of the panel, for example determining the prevalence of pneumococcal pneumonia as caused by many individual pneumococcal serotypes. When we are dealing with multiplex test panels with many components, test error in the individual components of a panel, even when present at very low levels, can cause significant overall error. Uncertainty in the sensitivity and specificity of the individual tests, and statistical fluctuations in the numbers of false positives and false negatives, will cause large uncertainty in the combined estimates of disease prevalence. In many cases this can be a source of significant bias. In this paper we develop a mathematical framework to characterise this issue, we determine expressions for the sensitivity and specificity of panel tests. In this we identify a counter-intuitive relationship between panel test sensitivity and disease prevalence that means panel tests become more sensitive as prevalence increases. We present novel statistical methods that adjust for bias and quantify uncertainty in prevalence estimates from panel tests, and use simulations to test these methods. As multiplex testing becomes more commonly used for screening in routine clinical practice, accumulation of test error due to the combination of large numbers of test results needs to be identified and corrected for.
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Affiliation(s)
- Robert Challen
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Anastasia Chatzilena
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - George Qian
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Glenda Oben
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Rachel Kwiatkowska
- Population Health Sciences, University of Bristol, United Kingdom
- NIHR Health Protection Unit in Behavioural Science and Evaluation, University of Bristol, United Kingdom
| | - Catherine Hyams
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Adam Finn
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | | | - Leon Danon
- Bristol Vaccine Centre, Schools of Population Health Sciences and of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
- Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
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4
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Jose Lucar, Rebecca Yee. Diagnostic Stewardship for Multiplex Respiratory Testing: What We Know and What Needs to Be Done. Clin Lab Med 2024; 44:45-61. [PMID: 38280797 DOI: 10.1016/j.cll.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
Syndromic respiratory panels are now widely available in clinical microbiology laboratories and health care institutions. These panels can rapidly diagnose infections and detect antimicrobial resistance genes allowing for more rapid therapeutic optimization compared to standard microbiology approaches. However, given reimbursement concerns and limitations of multiplex molecular testing and results interpretation, maximum clinical utility and positive clinical outcomes depend on active diagnostic stewardship. Here, the authors review clinical outcomes of both upper and lower respiratory panels and present diagnostic stewardship strategies for optimal use of respiratory panels.
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Affiliation(s)
- Jose Lucar
- Division of Infectious Diseases, George Washington University School of Medicine and Health Sciences, 2150 Pennsylvania Avenue Northeast, Washington, DC 20037, USA
| | - Rebecca Yee
- Department of Pathology, George Washington University School of Medicine and Health Sciences, 900 23rd Street Northwest, Washington, DC 20037, USA.
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Kim SR, Waghmare A, Hijano DR. Approach to hematopoietic cell transplant candidates with respiratory viral detection. Front Pediatr 2024; 11:1339239. [PMID: 38304442 PMCID: PMC10830789 DOI: 10.3389/fped.2023.1339239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/19/2023] [Indexed: 02/03/2024] Open
Abstract
The management of respiratory viruses prior to hematopoietic cell transplant (HCT) can be controversial and requires special consideration of host factors, transplant parameters, and the specific respiratory virus (RV). In the setting of adenovirus (ADV), human metapneumovirus (HMPV), influenza, parainfluenza virus (PIV), and respiratory syncytial virus (RSV) detection prior to hematopoietic cell transplant (HCT), clinical practice guidelines recommend transplant delay when possible; however, there is much more ambiguity when other respiratory viruses, such as seasonal coronaviruses (CoVs), human rhinovirus (HRV), and SARS-CoV-2, are detected. Our aims for this review include detailing clinical practical guidelines and reviewing current literature on pre-transplant respiratory viral infections (RVIs), including antiviral therapies and prevention strategies, when available. We will center our discussion on three representative clinical scenarios, with the goal of providing practical guidance to clinicians.
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Affiliation(s)
- Sara R. Kim
- Division of Pediatric Infectious Diseases, Seattle Children’s Hospital, Seattle, WA, United States
- Department of Pediatrics, University of Washington, Seattle, WA, United States
| | - Alpana Waghmare
- Division of Pediatric Infectious Diseases, Seattle Children’s Hospital, Seattle, WA, United States
- Department of Pediatrics, University of Washington, Seattle, WA, United States
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Diego R. Hijano
- Departments of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, United States
- Department of Pediatrics, University of Tennessee Health Sciences Center, Memphis, TN, United States
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6
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Matic N, Lawson T, Ritchie G, Lowe CF, Romney MG. Testing the limits of multiplex respiratory virus assays for SARS-CoV-2 at high cycle threshold values: Comparative performance of cobas 6800/8800 SARS-CoV-2 & Influenza A/B, Xpert Xpress SARS-CoV-2/Flu/RSV, and cobas Liat SARS-CoV-2 & Influenza A/B. JOURNAL OF THE ASSOCIATION OF MEDICAL MICROBIOLOGY AND INFECTIOUS DISEASE CANADA = JOURNAL OFFICIEL DE L'ASSOCIATION POUR LA MICROBIOLOGIE MEDICALE ET L'INFECTIOLOGIE CANADA 2024; 8:328-335. [PMID: 38250621 PMCID: PMC10797767 DOI: 10.3138/jammi-2022-0039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/21/2023] [Accepted: 03/26/2023] [Indexed: 01/23/2024]
Abstract
Background Multiplex real-time RT-PCR assays for respiratory pathogens are valuable tools to optimize laboratory workflow and turnaround time. At a time when resurgence of influenza and respiratory syncytial virus (RSV) cases have been widely observed along with continued transmission of SARS-CoV-2, timely identification of all circulating respiratory viruses is crucial. This study evaluates the detection of low viral loads of SARS-CoV-2 by four multiplex molecular assays: Roche cobas 6800/8800 SARS-CoV-2 & Influenza A/B Test, Cepheid Xpert Xpress SARS-CoV-2/Flu/RSV, cobas Liat SARS-CoV-2 & Influenza A/B, and a laboratory-developed test (LDT). Methods Retrospective upper respiratory tract specimens positive for various respiratory viruses at a range of cycle threshold (Ct) values (18-40) were tested by four multiplex assays. Positive and negative percent agreement (PPA and NPA) with validated RT-PCR assays were calculated. Results A total of 82 samples were assessed, with discordant results observed in a portion of the samples (10/82, 12.2%) where Ct values were >33. The majority of the discordant results (6/10, 60%) were false negatives. Overall, PPA was 100% (58/58) for cobas 6800, 97.4% (38/39) for GeneXpert, 100% (17/17) for Liat, and 90.5% (57/63) for the LDT. PPA for the LDT increased to 92.1% after manual review of amplification curves. Conclusions Commercial multiplex respiratory virus assays have good performance for samples with medium to high viral loads (Ct values <33). Laboratories should consider appropriate test result review and confirmation protocols to optimize sensitivity, and may consider reporting samples with additional interpretive comments when low viral loads are detected.
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Affiliation(s)
- Nancy Matic
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Tanya Lawson
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
| | - Gordon Ritchie
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Christopher F Lowe
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Marc G Romney
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
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7
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Galanti M, Patiño-Galindo JA, Filip I, Morita H, Galianese A, Youssef M, Comito D, Ligon C, Lane B, Matienzo N, Ibrahim S, Tagne E, Shittu A, Elliott O, Perea-Chamblee T, Natesan S, Rosenbloom DS, Shaman J, Rabadan R. Virome Data Explorer: A web resource to longitudinally explore respiratory viral infections, their interactions with other pathogens and host transcriptomic changes in over 100 people. PLoS Biol 2024; 22:e3002089. [PMID: 38236818 PMCID: PMC10796020 DOI: 10.1371/journal.pbio.3002089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 11/22/2023] [Indexed: 01/22/2024] Open
Abstract
Viral respiratory infections are an important public health concern due to their prevalence, transmissibility, and potential to cause serious disease. Disease severity is the product of several factors beyond the presence of the infectious agent, including specific host immune responses, host genetic makeup, and bacterial coinfections. To understand these interactions within natural infections, we designed a longitudinal cohort study actively surveilling respiratory viruses over the course of 19 months (2016 to 2018) in a diverse cohort in New York City. We integrated the molecular characterization of 800+ nasopharyngeal samples with clinical data from 104 participants. Transcriptomic data enabled the identification of respiratory pathogens in nasopharyngeal samples, the characterization of markers of immune response, the identification of signatures associated with symptom severity, individual viruses, and bacterial coinfections. Specific results include a rapid restoration of baseline conditions after infection, significant transcriptomic differences between symptomatic and asymptomatic infections, and qualitatively similar responses across different viruses. We created an interactive computational resource (Virome Data Explorer) to facilitate access to the data and visualization of analytical results.
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Affiliation(s)
- Marta Galanti
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Juan Angel Patiño-Galindo
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Ioan Filip
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Haruka Morita
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Angelica Galianese
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Mariam Youssef
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Devon Comito
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Chanel Ligon
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Benjamin Lane
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Nelsa Matienzo
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Sadiat Ibrahim
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Eudosie Tagne
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Atinuke Shittu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Oliver Elliott
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Tomin Perea-Chamblee
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Sanjay Natesan
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Daniel Scholes Rosenbloom
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Raul Rabadan
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, United States of America
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Smith RD, Johnson JK, Ernst RK. Comparison of 3 diagnostic platforms for identification of bacteria and yeast from positive blood culture bottles. Diagn Microbiol Infect Dis 2023; 107:116018. [PMID: 37478505 DOI: 10.1016/j.diagmicrobio.2023.116018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/26/2023] [Accepted: 07/03/2023] [Indexed: 07/23/2023]
Abstract
Managing bloodstream infections requires fast and accurate diagnostics. Culture-based diagnostic methods for identification from positive blood culture require 24-hour subculture, potentially delaying time to appropriate therapy. Positive blood cultures were collected (n = 301) from September 2021 to August 2022 at the University of Maryland Medical Center. Platforms compared were BioFire® BCID2, Sepsityper®, and short-term culture. For monomicrobial cultures, FilmArray® BCID2 identified 88.3% (241/273) of pathogens. Rapid Sepsityper® identified 76.9% (210/273) of pathogens. Sepsityper® extraction identified 82.4% (225/273) of pathogens. Short-term culture identified 83.5% (228/273) of pathogens. For polymicrobial cultures, Sepsityper®, short-term culture, and BioFire® BCID2 had complete identifications at 10.7% (3/28), 0%, and 92.9% (26/28), respectively. Time-to-results for Rapid Sepsityper®, Sepsityper® extraction, BioFire® BCID2, and Short-term culture were 35, 52, 65, and 306 minutes, respectively. Performance of these platforms can reduce time-to-results and may help effectively treat bloodstream infections faster. Accuracy, time-to-result, and hands-on time are important factors when evaluation diagnostic platforms.
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Affiliation(s)
- Richard D Smith
- Department of Pathology, School of Medicine, University of Maryland, Baltimore, MD, USA; Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, MD, USA.
| | - J Kristie Johnson
- Department of Pathology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Robert K Ernst
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, MD, USA
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9
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Rapid Multiplex PCR for Respiratory Viruses Reduces Time to Result and Improves Clinical Care: Results of a Systematic Review and Meta-Analysis. J Infect 2023; 86:462-475. [PMID: 36906153 DOI: 10.1016/j.jinf.2023.03.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 02/23/2023] [Accepted: 03/02/2023] [Indexed: 03/13/2023]
Abstract
OBJECTIVES The clinical impact of rapid sample-to-answer 'syndromic' multiplex polymerase chain reaction (PCR) testing for respiratory viruses is not clearly established. We performed a systematic literature review and meta-analysis to evaluate this impact for patients with possible acute respiratory tract infection in the hospital setting. METHODS We searched EMBASE, MEDLINE, and Cochrane databases from 2012 to present and conference proceedings from 2021 for studies comparing clinical impact outcomes between multiplex PCR testing and standard testing. RESULTS Twenty-seven studies with 17,321 patient encounters were included in this review. Rapid multiplex PCR testing was associated with a reduction of -24.22hours (95% CI -28.70 to -19.74hours) in the time to results. Hospital length of stay was decreased by -0.82 days (95% CI -1.52 to -0.11 days). Among influenza positive patients, antivirals were more likely to be given (RR 1.25, 95% CI 1.06 to 1.48) and appropriate infection control facility use was more common with rapid multiplex PCR testing (RR 1.55, 95% CI 1.16 to 2.07). CONCLUSIONS Our systematic review and meta-analysis demonstrates a reduction in time to results and length of stay for patients overall along with improvements in appropriate antiviral and infection control management among influenza positive patients. This evidence supports the routine use of rapid sample-to-answer multiplex PCR testing for respiratory viruses in the hospital setting.
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10
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Caruso CR, Yang Z. Molecular diagnostics of infectious disease: Detection and characterization of microbial agents in cytology samples. Diagn Cytopathol 2023; 51:68-82. [PMID: 36263664 DOI: 10.1002/dc.25064] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/30/2022] [Accepted: 10/10/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Cytology samples are widely used to diagnose various infectious diseases by detection and identification of causative infectious agents, including bacteria, fungi, and viruses. The role of cytopathology in infectious disease has expanded tremendously in the past decades with the advances in molecular techniques. Molecular diagnostic methods, compared to conventional methods, have shown improved patient outcome, reduction in cost, and shortened hospital stay times. The aim of this article is to review molecular testing in cytology samples for diagnosis of infectious diseases. METHODS The literature search for molecular testing in common cytology samples for diagnosis of infectious diseases was performed. The findings of the studies were summarized. The common cytology samples included in this article were gynecologic specimens, cerebrospinal fluid, bronchoalveolar lavage, and urine samples. CONCLUSIONS There are a number of molecular diagnostic tests that are available to be used in common cytology samples to detect infectious agents. Each test has its own advantages and limitations. It is our hope that upon reading this review article, the readers will have better understanding of molecular diagnostic testing of infectious diseases utilizing commonly sampled cytology specimens in daily practice.
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Affiliation(s)
- Carla R Caruso
- Department of Pathology and Anatomic Sciences, University of Missouri, Columbia, Missouri, USA
| | - Zhongbo Yang
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
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11
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Pernica JM, Kam AJ, Eltorki M, Khan S, Goldfarb DM, Smaill F, Wong J, Ewusie J, Smieja M, Sung M, Mertz D, Thabane L, Loeb M. Novel care pathway to optimise antimicrobial prescribing for uncomplicated community-acquired pneumonia: study protocol for a prospective before-after cohort study in the emergency department of a tertiary care Canadian children's hospital. BMJ Open 2022; 12:e062360. [PMID: 36396301 PMCID: PMC9677018 DOI: 10.1136/bmjopen-2022-062360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Evidence-based recommendations for paediatric community-acquired pneumonia (CAP) diagnosis and management are needed. Uncomplicated CAP is often caused by respiratory viruses, especially in younger children; these episodes self-resolve without antibiotic treatment. Unfortunately, there are no clinical criteria that reliably discriminate between viral and bacterial disease, and so the majority of children diagnosed with CAP are given antibiotics-even though these will often not help and may cause harm. We have developed a novel care pathway that incorporates point-of-care biomarkers, radiographic patterns, microbiological testing and targeted follow-up. The primary study objective is to determine if the care pathway will be associated with less antimicrobial prescribing. METHODS AND ANALYSIS A prospective, before-after, study. Previously well children aged≥6 months presenting to a paediatric emergency department (ED) that have at least one respiratory symptom/sign, receive chest radiography, and are diagnosed with CAP by the ED physician will be eligible. Those with medical comorbidities, recently diagnosed pulmonary infection, or ongoing fever after≥4 days of antimicrobial therapy will be excluded. In the control (before) phase, eligible participants will be managed as per the standard of care. In the intervention (after) phase, eligible participants will be managed as per the novel care pathway. The primary outcome will be the proportion of participants in each phase who receive antimicrobial treatment for CAP. The secondary outcomes include: clinical cure; re-presentation to the ED; hospitalisation; time to resolution of symptoms; drug adverse events; caregiver satisfaction; child absenteeism from daycare/school; and caregiver absenteeism from work. ETHICS AND DISSEMINATION All study documentation has been approved by the Hamilton Integrated Research Ethics Board and informed consent will be obtained from all participants. Data from this study will be presented at major conferences and published in peer-reviewed publications to facilitate collaborations with networks of clinicians experienced in the dissemination of clinical guidelines. TRIAL REGISTRATION NUMBER NCT05114161.
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Affiliation(s)
- Jeffrey M Pernica
- Department of Pediatrics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - April J Kam
- Department of Pediatrics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Mohamed Eltorki
- Department of Pediatrics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Sarah Khan
- Department of Pediatrics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - David M Goldfarb
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fiona Smaill
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Jacqueline Wong
- Department of Pediatrics, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Joycelyne Ewusie
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Marek Smieja
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Melani Sung
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Dominik Mertz
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Mark Loeb
- Department of Health Research Methods, Evidence, and Impact, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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12
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Calderaro A, Buttrini M, Farina B, Montecchini S, De Conto F, Chezzi C. Respiratory Tract Infections and Laboratory Diagnostic Methods: A Review with A Focus on Syndromic Panel-Based Assays. Microorganisms 2022; 10:microorganisms10091856. [PMID: 36144458 PMCID: PMC9504108 DOI: 10.3390/microorganisms10091856] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/20/2022] [Accepted: 09/11/2022] [Indexed: 11/16/2022] Open
Abstract
Respiratory tract infections (RTIs) are the focus of developments in public health, given their widespread distribution and the high morbidity and mortality rates reported worldwide. The clinical spectrum ranges from asymptomatic or mild infection to severe or fatal disease. Rapidity is required in diagnostics to provide adequate and prompt management of patients. The current algorithm for the laboratory diagnosis of RTIs relies on multiple approaches including gold-standard conventional methods, among which the traditional culture is the most used, and innovative ones such as molecular methods, mostly used to detect viruses and atypical bacteria. The implementation of molecular methods with syndromic panels has the potential to be a powerful decision-making tool for patient management despite requiring appropriate use of the test in different patient populations. Their use radically reduces time-to-results and increases the detection of clinically relevant pathogens compared to conventional methods. Moreover, if implemented wisely and interpreted cautiously, syndromic panels can improve antimicrobial use and patient outcomes, and optimize laboratory workflow. In this review, a narrative overview of the main etiological, clinical, and epidemiological features of RTI is reported, focusing on the laboratory diagnosis and the potentialities of syndromic panels.
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Abstract
Commemorating the 2021 ASEAN Dengue Day and advocacy for World Dengue Day, the International Society for Neglected Tropical Diseases (ISNTD) and Asian Dengue Voice and Action (ADVA) Group jointly hosted the ISNTD-ADVA World Dengue Day Forum–Cross Sector Synergies in June 2021. The forum aimed to achieve international and multisectoral coordination to consolidate global dengue control and prevention efforts, share best practices and resources, and improve global preparedness. The forum featured experts around the world who shared their insight, research experience, and strategies to tackle the growing threat of dengue. Over 2,000 healthcare care professionals, researchers, epidemiologists, and policy makers from 59 countries attended the forum, highlighting the urgency for integrated, multisectoral collaboration between health, environment, education, and policy to continue the march against dengue. Sustained vector control, environmental management, surveillance improved case management, continuous vaccine advocacy and research, capacity building, political commitment, and community engagement are crucial components of dengue control. A coordinated strategy based on science, transparency, timely and credible communication, and understanding of human behavior is needed to overcome vaccine hesitancy, a major health risk further magnified by the COVID-19 pandemic. The forum announced a strong call to action to establish World Dengue Day to improve global awareness, share best practices, and prioritize preparedness in the fight against dengue. The growing threat of dengue poses a significant public health burden endangering the well-being and socioeconomic development of many countries across the world. The International Society for Neglected Tropical Diseases (ISNTD) and Asian Dengue Voice and Action (ADVA) group brought together the collaborative efforts of healthcare care professionals, researchers, epidemiologists, environmentalists, and policy makers to coordinate international dengue control strategy. A strong call to action to establish a World Dengue Day was announced to improve global awareness, share best practices, and prioritize preparedness in the fight against dengue. The World Dengue Day highlighted the need for all governments, healthcare professionals, civil societies, public and private sectors, schools and universities, and citizens in dengue-endemic countries to form a strong coalition to encourage and accelerate a collective dengue control response.
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Affiliation(s)
- Nattachai Srisawat
- Tropical Medicine Cluster, Chulalongkorn University, Excellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, and Center of Excellence in Critical Care Nephrology, Chulalongkorn University, Bangkok, Thailand
- * E-mail:
| | - Usa Thisyakorn
- Tropical Medicine Cluster, Chulalongkorn University and Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Zulkifli Ismail
- Department of Pediatrics, KPJ Selangor Specialist Hospital, Selangor, Malaysia
| | - Kamran Rafiq
- International Society for Neglected Tropical Diseases, London, United Kingdom
| | - Duane J. Gubler
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
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Comparative Performance of the Luminex NxTAG Respiratory Pathogen Panel, GenMark eSensor Respiratory Viral Panel, and BioFire FilmArray Respiratory Panel. Microbiol Spectr 2022; 10:e0124822. [PMID: 35766513 PMCID: PMC9431521 DOI: 10.1128/spectrum.01248-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
This study compares three of the most inclusive and widely used panels for respiratory syndromic testing in the United States, namely, Luminex NxTAG Respiratory Pathogen Panel (RPP), BioFire FilmArray Respiratory Panel (RP), and GenMark eSensor Respiratory Viral Panel (RVP). We compared the three assays using nasopharyngeal swab samples (n = 350) collected from symptomatic patients (n = 329) in the pre-coronavirus disease 2019 (COVID-19) era. There was no significant difference in the overall accuracies of BioFire and Luminex assays (P = 0.6171); however, significant differences were found between BioFire and GenMark (P = 0.0003) and between GenMark and Luminex (P = 0.0009). The positive percent agreement of the BioFire RP assay was 94.1%, compared to 97.3% for GenMark RVP and 96.5% for Luminex RPP. Overall negative percent agreement values were high for all three assays, i.e., 99.9% for BioFire and Luminex and 99.5% for GenMark. The three assays were equivalent for adenovirus, human metapneumovirus, influenza A, and respiratory syncytial virus. Increased false-positive results were seen with BioFire for the endemic coronaviruses and with GenMark for influenza B and the parainfluenza viruses. IMPORTANCE Clinical laboratories have multiple choices when it is comes to syndromic respiratory testing. Here, the Luminex NxTAG RPP is compared to the BioFire FilmArray RP and GenMark eSensor RVP for overall and per-target accuracy. As new tests come to market, it is important to ascertain their performance characteristics, compared to other widely used in vitro diagnostic products.
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Watkins RR. Using Precision Medicine for the Diagnosis and Treatment of Viral Pneumonia. Adv Ther 2022; 39:3061-3071. [PMID: 35596912 PMCID: PMC9123616 DOI: 10.1007/s12325-022-02180-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 05/04/2022] [Indexed: 01/06/2023]
Abstract
The COVID-19 pandemic has drawn considerable attention to viral pneumonia from clinicians, public health authorities, and the general public. With dozens of viruses able to cause pneumonia in humans, differentiating viral from bacterial pneumonia can be very challenging in clinical practice using traditional diagnostic methods. Precision medicine is a medical model in which decisions, practices, interventions, and therapies are adapted to the individual patient on the basis of their predicted response or risk of disease. Precision medicine approaches hold promise as a way to improve outcomes for patients with viral pneumonia. This review describes the latest advances in the use of precision medicine for diagnosing and treating viral pneumonia in adults and discusses areas where further research is warranted.
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Affiliation(s)
- Richard R Watkins
- Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA.
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Abstract
Adenoviruses result in a wide array of clinical presentations, including primarily respiratory, gastrointestinal, genitourinary, or systemic infections. Although adenovirus causes mild disease limited to a single organ system in immunocompetent individuals, severe and life-threatening infections do rarely occur. Disseminated disease and severe localized disease resulting in significant morbidity and mortality have been well described in the immunocompromised populations. Although asymptomatic viremia, respiratory tract, and gastrointestinal infections are the most common disease in most transplant patients, renal transplant patients more commonly experience urinary tract infections, including hemorrhagic cystitis or nephritis. Diagnosis requires astute clinical awareness of the patient's clinical presentation that would be compatible with adenovirus combined with cultures, molecular testing, polymerase chain reaction, and tissue sampling. There is no Food and Drug Administration-approved treatment for adenovirus; however, several studies have evaluated therapeutic options including cidofovir, brincidofovir, and immunotherapy. This article will summarize our current understanding of adenovirus in the transplant population.
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Affiliation(s)
- Omar M. Al-Heeti
- Divisions of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Helen P. Cathro
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA
| | - Michael G. Ison
- Divisions of Infectious Diseases and Organ Transplantation, Transplant and Immunocompromised Host Infectious Diseases Service, Northwestern University Feinberg School of Medicine, Chicago, IL
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Burillo A, Candel FJ, Canut-Blasco A. Value of syndromic panels in the management of severe community-acquired pneumonia. REVISTA ESPANOLA DE QUIMIOTERAPIA : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE QUIMIOTERAPIA 2022; 35 Suppl 1:15-20. [PMID: 35488818 PMCID: PMC9106196 DOI: 10.37201/req/s01.03.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Community-acquired pneumonia requiring hospital admission is a prevalent and potentially serious infection, especially in high-risk patients (e.g., those requiring ICU admission or immunocompromised). International guidelines recommend early aetiological diagnosis to improve prognosis and reduce mortality. Syndromic panels that detect causative pathogens by molecular methods are here to stay. They are highly sensitive and specific for detecting the targets included in the test. A growing number of studies measuring their clinical impact have observed increased treatment appropriateness and decreased turnaround time to aetiological diagnosis, need for admission, length of hospital stay, days of isolation, adverse effects of medication and hospital costs. Its use is recommended a) per a pre-established protocol on making the diagnosis and managing the patient, b) together with an antimicrobial stewardship programme involving both the Microbiology Service and the clinicians responsible for the patient, and c) the final evaluation of the whole process. However, we recall that microbiological diagnosis with traditional methods remains mandatory due to the possibility that the aetiological agent is not included among the molecular targets and to determine the antimicrobial susceptibility of the pathogens detected.
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Affiliation(s)
- A Burillo
- Almudena Burillo, Clinical Microbiology and Infectious Diseases Department, Doctor Esquerdo 46, 28007 Madrid, Spain.
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Cassidy H, van Genne M, Lizarazo-Forero E, Niesters HGM, Gard L. Evaluation of the QIAstat-Dx RP2.0 and the BioFire FilmArray RP2.1 for the Rapid Detection of Respiratory Pathogens Including SARS-CoV-2. Front Microbiol 2022; 13:854209. [PMID: 35401449 PMCID: PMC8989387 DOI: 10.3389/fmicb.2022.854209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/28/2022] [Indexed: 02/04/2023] Open
Abstract
Point-of-care syndromic panels allow for simultaneous and rapid detection of respiratory pathogens from nasopharyngeal swabs. The clinical performance of the QIAstat-Dx Respiratory SARS-CoV-2 panel RP2.0 (QIAstat-Dx RP2.0) and the BioFire FilmArray Respiratory panel RP2.1 (BioFire RP2.1) was evaluated for the detection of SARS-CoV-2 and other common respiratory pathogens. A total of 137 patient samples were retrospectively selected based on emergency department admission, along with 33 SARS-CoV-2 positive samples tested using a WHO laboratory developed test. The limit of detection for SARS-CoV-2 was initially evaluated for both platforms. The QIAstat-Dx RP2.0 detected SARS-CoV-2 at 500 copies/mL and had a positive percent agreement (PPA) of 85%. The BioFire RP2.1 detected SARS-CoV-2 at 50 copies/mL and had a PPA of 97%. Both platforms showed a negative percent agreement of 100% for SARS-CoV-2. Evaluation of analytical specificity from a range of common respiratory targets showed a similar performance between each platform. The QIAstat-Dx RP2.0 had an overall PPA of 82% (67–100%) in clinical samples, with differences in sensitivity depending on the respiratory target. Both platforms can be used to detect acute cases of SARS-CoV-2. While the QIAstat-Dx RP2.0 is suitable for detecting respiratory viruses within a clinical range, it has less analytical and clinical sensitivity for SARS-CoV-2 compared to the BioFire RP2.1.
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Thakku SG, Ackerman CM, Myhrvold C, Bhattacharyya RP, Livny J, Ma P, Gomez GI, Sabeti PC, Blainey PC, Hung DT. Multiplexed detection of bacterial nucleic acids using Cas13 in droplet microarrays. PNAS NEXUS 2022; 1:pgac021. [PMID: 35450424 PMCID: PMC9013781 DOI: 10.1093/pnasnexus/pgac021] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/22/2022] [Accepted: 03/28/2022] [Indexed: 12/26/2022]
Abstract
Rapid and accurate diagnosis of infections is fundamental to individual patient care and public health management. Nucleic acid detection methods are critical to this effort, but are limited either in the breadth of pathogens targeted or by the expertise and infrastructure required. We present here a high-throughput system that enables rapid identification of bacterial pathogens, bCARMEN, which utilizes: (1) modular CRISPR-Cas13-based nucleic acid detection with enhanced sensitivity and specificity; and (2) a droplet microfluidic system that enables thousands of simultaneous, spatially multiplexed detection reactions at nanoliter volumes; and (3) a novel preamplification strategy that further enhances sensitivity and specificity. We demonstrate bCARMEN is capable of detecting and discriminating 52 clinically relevant bacterial species and several key antibiotic resistance genes. We further develop a simple proof of principle workflow using stabilized reagents and cell phone camera optical readout, opening up the possibility of a rapid point-of-care multiplexed bacterial pathogen identification and antibiotic susceptibility testing.
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Affiliation(s)
| | | | | | | | - Jonathan Livny
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Peijun Ma
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Paul C Blainey
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Deborah T Hung
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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20
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Clinical impact of rapid viral respiratory panel testing on pediatric critical care of patients with acute lower respiratory infection. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2022; 40:53-58. [PMID: 35120650 DOI: 10.1016/j.eimce.2020.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 08/05/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND We aimed to determine the impact of utilizing a rapid panel test of respiratory viral and atypical bacteria (FilmArray® Respiratory Panel, FA RP) on etiological diagnosis of acute lower respiratory infection (ALRI) and antimicrobial stewardship in critical care pediatric patients. METHODS Prospective cohort study of patients aged<18 years with clinical diagnosis of ALRI that were admitted to the Pediatric Intensive Care Unit (PICU) of Hospital Sant Joan de Deu (Barcelona, Spain) during December 2015-February 2017. Patients were diagnosed by FA RP and by a bundle of routine microbiological assays. RESULTS ALRI viral and bacterial etiology was confirmed by a composite reference standard of routine microbiological assays in 72 (55.4%) and 15 (11.5%) respiratory samples, respectively, that were collected from 130 children (median age, 3.5 months, IQR 1.1-14.8 months; 54.6% male). Comparatively, FA RP use increased etiological confirmation of ALRI in up to 123 (94.6%) samples (p<0.001) but only determined a bacterial origin in 2 (1.5%). Availability of diagnostic results before patient discharge from the PICU rose from 65.4 to 38.5% (p<0.001). Use of the new panel test directly influenced antimicrobial stewardship in 11 (8.4%) episodes, leading to discontinuation of antiviral drugs (n=5), administration of targeted antibiotics (n=3), antiviral therapy start (n=2) and both targeted antibiotic administration and discontinuation of antiviral drugs (n=1). CONCLUSION FA RP contributed to improve etiological diagnosis of ALRI in a timely manner while enhancing a more rational use of antimicrobial drugs in critical care pediatric patients.
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Xie LM, Yin X, Xie TA, Su JW, Huang Q, Zhang JH, Huang YF, Guo XG. Meta-Analysis of the Diagnostic Efficacy of the Luminex xTAG Respiratory Viral Panel FAST v2 Assay for Respiratory Viral Infections. Yonsei Med J 2022; 63:95-103. [PMID: 34913289 PMCID: PMC8688366 DOI: 10.3349/ymj.2022.63.1.95] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/27/2021] [Accepted: 10/13/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE Acute respiratory viral infections pose significant morbidity and mortality, making it essential to diagnose respiratory viral infections rapidly. In this study, the diagnostic efficacy of the Luminex xTAG Respiratory Virus Panel (RVP) FAST v2 test was evaluated on respiratory viral infections. MATERIALS AND METHODS Information was retrieved from electronic databases, including Embase, Web of Science, PubMed, and Cochrane Library, for systematic review. Studies that fulfilled predefined inclusion criteria were included. After the extraction of information, statistical software was utilized for quality evaluation, data analysis, and assessment of publication bias. RESULTS Eighty groups in fourfold tables from nine articles were included to perform statistical analyses. Therein, the mean specificity and mean sensitivity of Luminex xTAG RVP FAST v2 test for the detection of respiratory viral infections were 0.99 (0.98-0.99) and 0.88 (0.87-0.90), respectively. Additionally, the negative and positive likelihood ratios were 0.14 (0.11-0.19) and 87.42 (61.88-123.50), respectively. Moreover, the diagnostic odds ratio and area under the curve of summary receiver operating characteristic were 714.80 and 0.9886, respectively. CONCLUSION The Luminex xTAG RVP FAST v2 test could be a reliable and rapid diagnostic method for multiple respiratory viral infections.
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Affiliation(s)
- Li-Min Xie
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Xin Yin
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Pediatrics, The Pediatrics School of Guangzhou Medical University, Guangzhou, China
| | - Tian-Ao Xie
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Jian-Wen Su
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Qin Huang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Jing-Hao Zhang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Yin-Fei Huang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Xu-Guang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Loubet P, Bouzid D, Debray MP, Visseaux B. Place des virus respiratoires dans les pneumonies aiguës communautaires de l'adulte : quels changements depuis la Covid-19 ? M�DECINE ET MALADIES INFECTIEUSES FORMATION 2022. [PMCID: PMC8815763 DOI: 10.1016/j.mmifmc.2021.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
L’émergence du SARS-CoV-2 a renforcé l'intérêt pour la place des virus respiratoires, dans les pneumonies aiguës communautaires, en mettant en exergue de nombreux points encore mal connus tels que la part des infections asymptomatiques, les interactions entre virus respiratoires et pathogènes non viraux, leurs périodes d'incubation, leur pathogénicité ou encore la durée d'excrétion variable. La présentation clinique et radiologique des pneumonies aiguës communautaires ne permet pas toujours de distinguer l'origine virale de l'origine bactérienne. L'absence de réelle conséquence thérapeutique semble un frein à l'utilisation des PCR multiplex dans la pratique quotidienne. Toutefois, l'amélioration en termes de délai de rendu des résultats et du nombre de pathogènes inclus dans les panels, ainsi que l'accumulation récente de données épidémiologiques et cliniques, devraient aider à rationaliser l'utilisation de ces tests, faciliter l'interprétation de leurs résultats et guider l'utilisation des molécules antivirales en développement.
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Respiratory viral infections in pragmatically selected adults in intensive care units. Sci Rep 2021; 11:20058. [PMID: 34625621 PMCID: PMC8501073 DOI: 10.1038/s41598-021-99608-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 09/23/2021] [Indexed: 12/21/2022] Open
Abstract
Respiratory viruses can be detected in 18.3 to 48.9% of critically ill adults with severe respiratory tract infections (RTIs). The present study aims to assess the clinical significance of respiratory viruses in pragmatically selected adults in medical intensive care unit patients and to identify factors associated with viral respiratory viral tract infections (VRTIs). We conducted a prospective study on critically ill adults with suspected RTIs without recognized respiratory pathogens. Viral cultures with monoclonal antibody identification, in-house real-time polymerase chain reaction (PCR) for influenza virus, and FilmArray respiratory panel were used to detect viral pathogens. Multivariable logistic regression was applied to identify factors associated with VRTIs. Sixty-four (40.5%) of the included 158 critically ill adults had respiratory viruses detected in their respiratory specimens. The commonly detected viruses included influenza virus (20), followed by human rhinovirus/enterovirus (11), respiratory syncitial virus (9), human metapneumovirus (9), human parainfluenza viruses (8), human adenovirus (7), and human coronaviruses (2). The FilmArray respiratory panel detected respiratory viruses in 54 (34.6%) patients, but showed negative results for seven of 13 patients with influenza A/H3 infection. In the multivariable logistic regression model, patient characters associated with VRTIs included those aged < 65 years, household contact with individuals with upper RTI, the presence of fever, cough with sputum production, and sore throat. Respiratory viruses were not uncommonly detected in the pragmatically selected adults with critical illness. The application of multiplex PCR testing for respiratory viruses in selected patient population is a practical strategy, and the viral detection rate could be further improved by the patient characters recognized in this study.
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Khalid TY, Duncan LJ, Thornton HV, Lasseter G, Muir P, Toney ZA, Hay AD. Novel multi-virus rapid respiratory microbiological point-of-care testing in primary care: a mixed-methods feasibility evaluation. Fam Pract 2021; 38:598-605. [PMID: 33684208 DOI: 10.1093/fampra/cmab002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Rapid multi-viral respiratory microbiological point-of-care tests (POCTs) have not been evaluated in UK primary care. The aim of this study was to evaluate the use of a multi-viral microbiological POCT for suspected respiratory tract infections (RTIs). METHODS In this observational, mixed-methods feasibility study practices were provided with a POCT machine for any patient aged ≥3 months with suspected RTI. Dual throat/nose swabs tested for 17 respiratory viruses and three atypical bacteria, 65 minutes per sample. RESULTS Twenty clinicians recruited 93 patients (estimated 1:3 of all RTI cases). Patient's median age was 29, 57% female, and 44% with co-morbidities. Pre-test diagnoses: upper RTI (48%); lower RTI (30%); viral/influenza-like illness (18%); other (4%). Median set-up time was 2.72 minutes, with 72% swabs processed <4 hours, 90% <24 hours. Tests detected ≥1 virus in 58%, no pathogen 37% and atypical bacteria 2% (3% inconclusive). Antibiotics were prescribed pre-test to 35% of patients with no pathogen detected and 25% with a virus. Post-test diagnoses changed in 20%, and diagnostic certainty increased (P = 0.02), more so when the test was positive rather than negative (P < 0.001). Clinicians predicted decreased antibiotic benefit post-test (P = 0.02). Interviews revealed the POCT has clear potential, was easy to use and well-liked, but limited by time-to-result and the absence of testing for typical respiratory bacteria. CONCLUSIONS This POCT was acceptable and appeared to influence clinical reasoning. Clinicians wanted faster time-to-results and more information about bacteria. Randomized trials are needed to understand the safety, efficacy and patient perceptions of these POCTs.
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Affiliation(s)
- Tanzeela Y Khalid
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences
| | - Lorna J Duncan
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences
| | - Hannah V Thornton
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences
| | - Gemma Lasseter
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Peter Muir
- Public Health Laboratory Bristol, National Infection Service, Public Health England, Bristol, UK
| | - Zara Abigail Toney
- St George's, University of London MBBS Programme at the University of Nicosia Medical School, Nicosia, Cyprus
| | - Alastair D Hay
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences.,NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
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Cassidy H, Van Genne M, Lizarazo-Forero E, Gard L, Niesters HGM. A discussion of syndromic molecular testing for clinical care. J Antimicrob Chemother 2021; 76:iii58-iii66. [PMID: 34555161 PMCID: PMC8460109 DOI: 10.1093/jac/dkab243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Current molecular detection methods for single or multiplex pathogens by real-time PCR generally offer great sensitivity and specificity. However, many infectious pathogens often result in very similar clinical presentations, complicating the test-order for physicians who have to narrow down the causative agent prior to in-house PCR testing. As a consequence, the intuitive response is to start empirical therapy to treat a broad spectrum of possible pathogens. Syndromic molecular testing has been increasingly integrated into routine clinical care, either to provide diagnostic, epidemiological or patient management information. These multiplex panels can be used to screen for predefined infectious disease pathogens simultaneously within a 1 h timeframe, creating opportunities for rapid diagnostics. Conversely, syndromic panels have their own challenges and must be adaptable to the evolving demands of the clinical setting. Firstly, questions have been raised regarding the clinical relevance of some of the targets included in the panels and secondly, there is the added expense of integration into the clinical laboratory. Here, we aim to discuss some of the factors that should be considered before performing syndromic testing rather than traditional low-plex in-house PCR.
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Affiliation(s)
- Hayley Cassidy
- The University of Groningen, University Medical Centre Groningen, Department of Medical Microbiology and Infection Prevention, Division of Clinical Virology, Groningen, The Netherlands
| | - Mart Van Genne
- The University of Groningen, University Medical Centre Groningen, Department of Medical Microbiology and Infection Prevention, Division of Clinical Virology, Groningen, The Netherlands
| | - Erley Lizarazo-Forero
- The University of Groningen, University Medical Centre Groningen, Department of Medical Microbiology and Infection Prevention, Division of Clinical Virology, Groningen, The Netherlands
| | - Lilli Gard
- The University of Groningen, University Medical Centre Groningen, Department of Medical Microbiology and Infection Prevention, Division of Clinical Virology, Groningen, The Netherlands
| | - Hubert G M Niesters
- The University of Groningen, University Medical Centre Groningen, Department of Medical Microbiology and Infection Prevention, Division of Clinical Virology, Groningen, The Netherlands
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Dumkow LE, Worden LJ, Rao SN. Syndromic diagnostic testing: a new way to approach patient care in the treatment of infectious diseases. J Antimicrob Chemother 2021; 76:iii4-iii11. [PMID: 34555157 PMCID: PMC8460095 DOI: 10.1093/jac/dkab245] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Advanced microbiology technologies such as multiplex molecular assays (i.e. syndromic diagnostic tests) are a novel approach to the rapid diagnosis of common infectious diseases. As the global burden of antimicrobial resistance continues to rise, the judicious use of antimicrobials is of utmost importance. Syndromic panels are now being recognized in some clinical practice guidelines as a 'game-changer' in the diagnosis of infectious diseases. These syndromic panels, if implemented thoughtfully and interpreted carefully, have the potential to improve patient outcomes through improved clinical decision making, optimized laboratory workflow, and enhanced antimicrobial stewardship. This paper reviews the potential benefits of and considerations regarding various infectious diseases syndromic panels, and highlights how to maximize impact through collaboration between clinical microbiology laboratory and antimicrobial stewardship programmes.
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Affiliation(s)
- Lisa E Dumkow
- Mercy Health Saint Mary's Hospital, Grand Rapids, MI, USA
| | - Lacy J Worden
- Mercy Health Saint Mary's Hospital, Grand Rapids, MI, USA
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Samuel LP, Hansen GT, Kraft CS, Pritt BS. The Need for Dedicated Microbiology Leadership in the Clinical Microbiology Laboratory. J Clin Microbiol 2021; 59:e0154919. [PMID: 33597258 PMCID: PMC8288296 DOI: 10.1128/jcm.01549-19] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Clinical microbiology laboratories play a crucial role in patient care using traditional and innovative diagnostics. Challenges faced by laboratories include emerging pathogens, rapidly evolving technologies, health care-acquired infections, antibiotic-resistant organisms, and diverse patient populations. Despite these challenges, many clinical microbiology laboratories in the United States are not directed by doctoral level microbiology-trained individuals with sufficient time dedicated to laboratory leadership. The manuscript highlights the need for medical microbiology laboratory directors with appropriate training and qualifications.
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Affiliation(s)
- Linoj P. Samuel
- Department of Pathology and Laboratory Medicine, Henry Ford Health System, Detroit, Michigan, USA
| | - Glen T. Hansen
- Department of Pathology and Laboratory Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
- Department of Pathology and Laboratory Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Medicine, Division of Infectious Diseases, University of Minnesota, Minneapolis, Minnesota, USA
| | - Colleen S. Kraft
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, USA
- Department Medicine, Division of Infectious Diseases, Emory University, Atlanta, Georgia, USA
| | - Bobbi S. Pritt
- Department of Laboratory Medicine and Pathology, Division of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Internal Medicine, Division of Infectious Diseases, Mayo Clinic, Rochester, Minnesota, USA
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Cordes AK, Rehrauer WM, Accola MA, Wölk B, Hilfrich B, Heim A. Fully automated detection and differentiation of pandemic and endemic coronaviruses (NL63, 229E, HKU1, OC43 and SARS-CoV-2) on the hologic panther fusion. J Med Virol 2021; 93:4438-4445. [PMID: 33350484 DOI: 10.1002/jmv.26749] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/15/2020] [Accepted: 12/19/2020] [Indexed: 12/18/2022]
Abstract
The hologic panther fusion (PF) platform provides fully automated CE marked diagnostics for respiratory viruses, including the recently discovered severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) by a transcription mediated amplification (TMA) assay, but not for the endemic human coronaviruses (hCoV). Therefore, a laboratory developed test (LDT) comprising a multiplexed reverse transcription polymerase chain reaction (RT-PCR) protocol that detects and differentiates the four hCoV NL63, 229E, HKU1, and OC43 was adapted on the PF. The novel CE marked Aptima SARS-CoV-2 TMA and the LDT for hCoV were validated with 321 diagnostic specimens from the upper and lower respiratory tract in comparison to two SARS-CoV-2 RT-PCRs (PF E-gene RT-PCR and genesig RT-PCR, 157 specimens) or the R-GENE hCoV/hParaFlu RT-PCR (164 specimens), respectively. For the endemic hCoV, results were 96.3% concordant with two specimens discordantly positive in the PF and four specimens discordantly positive in the R-GENE assay. All discordantly positive samples had Ct values between 33 and 39. The PF hCoV LDT identified 23 hCoV positive specimens as NL63, 15 as 229E, 15 as HKU1, and 25 as OC43. The Aptima SARS-CoV-2 TMA gave 99.4% concordant results compared to the consensus results with a single specimen discordantly positive. Moreover, 36 samples from proficiency testing panels were detected and typed correctly by both novel methods. In conclusion, the SARS-CoV-2 TMA and the LDT for hCoV enhanced the diagnostic spectrum of the PF for all coronaviruses circulating globally for a multitude of diagnostic materials from the upper and lower respiratory tract.
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Affiliation(s)
- Anne K Cordes
- Institute of Virology, Medical School Hannover, Hannover, Germany
| | - William M Rehrauer
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Molly A Accola
- Molecular Diagnostics, Clinical Labs, University of Wisconsin Hospital, Madison, Wisconsin, USA
| | - Benno Wölk
- LADR Medical Laboratory Dr Kramer and Colleagues, Geesthacht, Germany
| | | | - Albert Heim
- Institute of Virology, Medical School Hannover, Hannover, Germany
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Perez VA, Melnick LE, Whittier S, Dayan PS, Garzon MC, Morel KD, Levin LE, Lauren CT. The use of respiratory pathogen panel nasal polymerase chain reaction testing in predicting cutaneous enteroviral infections in the pediatric population. Pediatr Dermatol 2021; 38:602-605. [PMID: 33724504 DOI: 10.1111/pde.14567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 02/02/2021] [Accepted: 02/13/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND/OBJECTIVE To characterize the relationship between the presence of enteroviral skin infection, defined as a positive skin polymerase chain reaction (PCR) test, and the nasopharyngeal (NP) respiratory pathogen panel (RPP) PCR test which includes enterovirus/rhinovirus as an analyte. METHODS A retrospective chart review was performed on 543 subjects, age 18 years or younger, who had enterovirus (EV) skin swabs performed at an academic medical center in New York City between September 2014 and November 2019. Those patients with positive EV skin PCR were considered to have an enteroviral skin infection, and those with a negative EV skin PCR were considered not to have an enteroviral skin infection. Of those 543 children who had EV skin PCR, 170 also had an NP swab RPP performed. These NP swab RPP results were characterized as positive or negative, and if positive, it was noted if the patient was positive or negative for enterovirus/rhinovirus. The positive predictive value (PPV), negative predictive value (NPV), specificity, and sensitivity of a NP swab RPP for enteroviral skin infection were then calculated. RESULTS An enterovirus/rhinovirus NP swab RPP had a NPV of 95%, PPV of 43%, sensitivity of 90%, and specificity of 62% for cutaneous enterovirus infection. CONCLUSION The enteroviral skin PCR test is an assay that was validated at this institution. In clinically suspicious cases of EV, a positive NP swab RPP for enterovirus/rhinovirus is a sensitive test. A negative test is highly predictive of not having EV on the skin. Although further data are needed, given that NP swab RPP is readily available, these data may suggest that an NP swab RPP, when appropriately utilized, can support or exclude a clinical diagnosis of cutaneous enterovirus in the pediatric population.
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Affiliation(s)
- Victoria A Perez
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Laura E Melnick
- Department of Dermatology, Weill Cornell Medicine, New York, NY, USA
| | - Susan Whittier
- Departments of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Peter S Dayan
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Maria C Garzon
- Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.,Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Kimberly D Morel
- Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.,Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Laura E Levin
- Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA
| | - Christine T Lauren
- Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.,Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
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Rader TS, Stevens MP, Bearman G. Syndromic Multiplex Polymerase Chain Reaction (mPCR) Testing and Antimicrobial Stewardship: Current Practice and Future Directions. Curr Infect Dis Rep 2021; 23:5. [PMID: 33679252 PMCID: PMC7909367 DOI: 10.1007/s11908-021-00748-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Syndromic multiplex polymerase chain reaction (mPCR) panels offer the antimicrobial steward a rapid tool for optimizing and de-escalating antimicrobials. In this review, we analyze the role of syndromic mPCR in respiratory, gastrointestinal, and central nervous system infections within the context of antimicrobial stewardship efforts. RECENT FINDINGS For all mPCR syndromic panels, multiple studies analyzed the pre-and-post implementation impact of mPCR on antimicrobial utilization. Prospective studies and trials of respiratory mPCR stewardship interventions, including diagnostic algorithms, educational efforts, co-testing with procalcitonin, and targeted provider feedback currently exist. For gastrointestinal and cerebrospinal fluid mPCR, fewer peer-reviewed reports exist for the use of mPCR in antimicrobial stewardship. These studies demonstrated an inconsistent trend towards decreasing antibiotic use with mPCR. This is further limited by a lack of statistical significance, the absence of controlled, prospective trials, and issues with data generalizability. SUMMARY Antibiotic overuse may improve when mPCR is coupled with electronic medical record algorithm-based approaches and direct provider feedback by an antimicrobial stewardship professional. mPCR may prove a useful tool for antimicrobial stewardship but future studies are needed to define the best practice for its utilization.
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Affiliation(s)
- Theodore S. Rader
- Department of Internal Medicine, Virginia Commonwealth University Health System, 1250 E MARSHALL ST # 980509, Richmond, VA 23298-0019 USA
| | - Michael P. Stevens
- Division of Infectious Diseases, Virginia Commonwealth University Health System, Richmond, VA USA
| | - Gonzalo Bearman
- Division of Infectious Diseases, Virginia Commonwealth University Health System, Richmond, VA USA
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McIlwain DR, Chen H, Apkarian M, Affrime M, Bock B, Kim K, Mukherjee N, Nolan GP, McNeal MM. Performance of BioFire array or QuickVue influenza A + B test versus a validation qPCR assay for detection of influenza A during a volunteer A/California/2009/H1N1 challenge study. Virol J 2021; 18:45. [PMID: 33632249 PMCID: PMC7905982 DOI: 10.1186/s12985-021-01516-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 02/18/2021] [Indexed: 01/01/2023] Open
Abstract
Background Influenza places a significant burden on global health and economics. Individual case management and public health efforts to mitigate the spread of influenza are both strongly impacted by our ability to accurately and efficiently detect influenza viruses in clinical samples. Therefore, it is important to understand the performance characteristics of available assays to detect influenza in a variety of settings. We provide the first report of relative performance between two products marketed to streamline detection of influenza virus in the context of a highly controlled volunteer influenza challenge study. Methods Nasopharyngeal swab samples were collected during a controlled A/California/2009/H1N1 influenza challenge study and analyzed for detection of virus shedding using a validated qRT-PCR (qPCR) assay, a sample-to-answer qRT-PCR device (BioMerieux BioFire FilmArray RP), and an immunoassay based rapid test kit (Quidel QuickVue Influenza A + B Test). Results Relative to qPCR, the sensitivity and specificity of the BioFire assay was 72.1% [63.7–79.5%, 95% confidence interval (CI)] and 93.5% (89.3–96.4%, 95% CI) respectively. For the QuickVue rapid test the sensitivity was 8.5% (4.8–13.7%, 95% CI) and specificity was 99.2% (95.6–100%, 95% CI). Conclusion Relative to qPCR, the BioFire assay had superior performance compared to rapid test in the context of a controlled influenza challenge study. Supplementary Information The online version contains supplementary material available at 10.1186/s12985-021-01516-0.
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Affiliation(s)
- David R McIlwain
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. .,WCCT Global, Cypress, CA, USA.
| | - Han Chen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | | | | | - Nilanjan Mukherjee
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Garry P Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Monica M McNeal
- Department of Pediatrics, University of Cincinnati College of Medicine, Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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Ng DL, Granados AC, Santos YA, Servellita V, Goldgof GM, Meydan C, Sotomayor-Gonzalez A, Levine AG, Balcerek J, Han LM, Akagi N, Truong K, Neumann NM, Nguyen DN, Bapat SP, Cheng J, Martin CSS, Federman S, Foox J, Gopez A, Li T, Chan R, Chu CS, Wabl CA, Gliwa AS, Reyes K, Pan CY, Guevara H, Wadford D, Miller S, Mason CE, Chiu CY. A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood. SCIENCE ADVANCES 2021; 7:eabe5984. [PMID: 33536218 PMCID: PMC7857687 DOI: 10.1126/sciadv.abe5984] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/15/2020] [Indexed: 05/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease-19 (COVID-19), has emerged as the cause of a global pandemic. We used RNA sequencing to analyze 286 nasopharyngeal (NP) swab and 53 whole-blood (WB) samples from 333 patients with COVID-19 and controls. Overall, a muted immune response was observed in COVID-19 relative to other infections (influenza, other seasonal coronaviruses, and bacterial sepsis), with paradoxical down-regulation of several key differentially expressed genes. Hospitalized patients and outpatients exhibited up-regulation of interferon-associated pathways, although heightened and more robust inflammatory responses were observed in hospitalized patients with more clinically severe illness. Two-layer machine learning-based host classifiers consisting of complete (>1000 genes), medium (<100), and small (<20) gene biomarker panels identified COVID-19 disease with 85.1-86.5% accuracy when benchmarked using an independent test set. SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for COVID-19 diagnosis.
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Affiliation(s)
- Dianna L Ng
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Gregory M Goldgof
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Alicia Sotomayor-Gonzalez
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Andrew G Levine
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna Balcerek
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Lucy M Han
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Naomi Akagi
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Kent Truong
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Neil M Neumann
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - David N Nguyen
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
| | - Sagar P Bapat
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, USA
| | - Jing Cheng
- Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Claudia Sanchez-San Martin
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Allan Gopez
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Tony Li
- Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Ray Chan
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Cynthia S Chu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Chiara A Wabl
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Amelia S Gliwa
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Kevin Reyes
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Chao-Yang Pan
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Hugo Guevara
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Debra Wadford
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Steve Miller
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, USA
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[Virological diagnosis of lower respiratory tract infections]. Rev Mal Respir 2021; 38:58-73. [PMID: 33461842 DOI: 10.1016/j.rmr.2020.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 08/06/2020] [Indexed: 11/21/2022]
Abstract
INTRODUCTION The etiological diagnosis of bronchopulmonary infections cannot be assessed with clinical, radiological and epidemiological data alone. Viruses have been demonstrated to cause a large proportion of these infections, both in children and adults. BACKGROUND The diagnosis of viral bronchopulmonary infections is based on the analysis of secretions, collected from the lower respiratory tract when possible, by techniques that detect either influenza and respiratory syncytial viruses, or a large panel of viruses that can be responsible for respiratory disease. The latter, called multiplex PCR assays, allow a syndromic approach to respiratory infection. Their high cost for the laboratory raises the question of their place in the management of patients in terms of antibiotic economy and isolation. In the absence of clear recommendations, the strategy and equipment are very unevenly distributed in France. OUTLOOK Medico-economic analyses need to be performed in France to evaluate the place of these tests in the management of patients. The evaluation of the role of the different viruses often detected in co-infection, especially in children, also deserves the attention of virologists and clinicians. CONCLUSIONS The availability of new diagnostic technologies, the recent emergence of SARS-CoV-2, together with the availability of new antiviral drugs are likely to impact future recommendations for the management of viral bronchopulmonary infections.
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Brotons P, Villaronga M, Henares D, Armero G, Launes C, Jordan I, Muñoz-Almagro C. Clinical impact of rapid viral respiratory panel testing on pediatric critical care of patients with acute lower respiratory infection. Enferm Infecc Microbiol Clin 2020; 40:S0213-005X(20)30285-8. [PMID: 33041081 PMCID: PMC7544565 DOI: 10.1016/j.eimc.2020.08.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND We aimed to determine the impact of utilizing a rapid panel test of respiratory viral and atypical bacteria (FilmArray® Respiratory Panel, FA RP) on etiological diagnosis of acute lower respiratory infection (ALRI) and antimicrobial stewardship in critical care pediatric patients. METHODS Prospective cohort study of patients aged<18 years with clinical diagnosis of ALRI that were admitted to the Pediatric Intensive Care Unit (PICU) of Hospital Sant Joan de Deu (Barcelona, Spain) during December 2015-February 2017. Patients were diagnosed by FA RP and by a bundle of routine microbiological assays. RESULTS ALRI viral and bacterial etiology was confirmed by a composite reference standard of routine microbiological assays in 72 (55.4%) and 15 (11.5%) respiratory samples, respectively, that were collected from 130 children (median age, 3.5 months, IQR 1.1-14.8 months; 54.6% male). Comparatively, FA RP use increased etiological confirmation of ALRI in up to 123 (94.6%) samples (p<0.001) but only determined a bacterial origin in 2 (1.5%). Availability of diagnostic results before patient discharge from the PICU rose from 65.4 to 38.5% (p<0.001). Use of the new panel test directly influenced antimicrobial stewardship in 11 (8.4%) episodes, leading to discontinuation of antiviral drugs (n=5), administration of targeted antibiotics (n=3), antiviral therapy start (n=2) and both targeted antibiotic administration and discontinuation of antiviral drugs (n=1). CONCLUSION FA RP contributed to improve etiological diagnosis of ALRI in a timely manner while enhancing a more rational use of antimicrobial drugs in critical care pediatric patients.
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Affiliation(s)
- Pedro Brotons
- Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain.
| | | | - Desirée Henares
- Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Georgina Armero
- Pediatric Department, Hospital Sant Joan de Deu, Barcelona, Spain
| | - Cristian Launes
- Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Iolanda Jordan
- Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Muñoz-Almagro
- Institut de Recerca Sant Joan de Deu, Hospital Sant Joan de Deu, Barcelona, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
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Xing W, Liu Y, Wang H, Li S, Lin Y, Chen L, Zhao Y, Chao S, Huang X, Ge S, Deng T, Zhao T, Li B, Wang H, Wang L, Song Y, Jin R, He J, Zhao X, Liu P, Li W, Cheng J. A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2. ENGINEERING 2020; 6:1130-1140. [PMID: 33520332 PMCID: PMC7833526 DOI: 10.1016/j.eng.2020.07.015] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/28/2020] [Accepted: 07/21/2020] [Indexed: 02/08/2023]
Abstract
Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL-1, which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic.
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Affiliation(s)
- Wanli Xing
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.,National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Technology, Beijing 101111, China
| | - Yingying Liu
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | - Huili Wang
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Shanglin Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Yongping Lin
- Department of Laboratory Medicine, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Lei Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yan Zhao
- Clinical Laboratory Center, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Shuang Chao
- Department of Pediatrics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Xiaolan Huang
- Experiment Center, Capital Institute of Pediatrics, Beijing 100020, China
| | - Shaolin Ge
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | - Tao Deng
- CapitalBio Technology, Beijing 101111, China
| | - Tian Zhao
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | - Baolian Li
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | - Hanbo Wang
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | - Lei Wang
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
| | | | - Ronghua Jin
- President's Office, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Jianxing He
- Department of Cardiothoracic Surgery, State Key Laboratory of Respiratory Disease, China Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Xiuying Zhao
- Department of Clinical Laboratory, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Peng Liu
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jing Cheng
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.,National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.,CapitalBio Corporation, Beijing 102206, China
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36
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Abstract
Syndromic panels have allowed clinical microbiology laboratories to rapidly identify bacteria, viruses, fungi, and parasites and are now fully integrated into the standard testing practices of many clinical laboratories. To maximize the benefit of syndromic testing, laboratories must implement strict measures to ensure that syndromic panels are being used responsibly. This article discusses commercially available syndromic panels, the benefits and limitations of testing, and how diagnostic and laboratory stewardship can be used to optimize testing and improve patient care while keeping costs at a minimum.
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Affiliation(s)
- Jennifer Dien Bard
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, 4650 Sunset Boulevard MS#32, Los Angeles, CA 90027, USA; University of Southern California, Keck School of Medicine.
| | - Erin McElvania
- Department of Pathology and Laboratory Medicine, Evanston Hospital, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201, USA; University of Chicago Pritzker School of Medicine. https://twitter.com/e_mcelvania
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37
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Missed diagnosis and misdiagnosis of infectious diseases in hematopoietic cell transplant recipients: an autopsy study. Blood Adv 2020; 3:3602-3612. [PMID: 31743391 DOI: 10.1182/bloodadvances.2019000634] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/10/2019] [Indexed: 01/20/2023] Open
Abstract
Hematopoietic cell transplantation (HCT) is potentially curative for patients with hematologic disorders, but carries significant risks of infection-related morbidity and mortality. Infectious diseases are the second most common cause of death in HCT recipients, surpassed only by progression of underlying disease. Many infectious diseases are difficult to diagnose and treat, and may only be first identified by autopsy. However, autopsy rates are decreasing despite their value. The clinical and autopsy records of adult HCT recipients at our center who underwent autopsy between 1 January 2000 and 31 December 2017 were reviewed. Discrepancies between premortem clinical diagnoses and postmortem autopsy diagnoses were evaluated. Of 185 patients who underwent autopsy, 35 patients (18.8%) had a total of 41 missed infections. Five patients (2.7%) had >1 missed infection. Of the 41 missed infections, 18 (43.9%) were viral, 16 (39.0%) were fungal, 5 (12.2%) were bacterial, and 2 (4.9%) were parasitic. According to the Goldman criteria, 31 discrepancies (75.6%) were class I, 5 (12.2%) were class II, 1 (2.4%) was class III, and 4 (9.8%) were class IV. Autopsies of HCT recipients frequently identify clinically significant infectious diseases that were not suspected premortem. Had these infections been suspected, a change in management might have improved patient survival in many of these cases. Autopsy is underutilized and should be performed regularly to help improve infection-related morbidity and mortality. Illustrative cases are presented and the lessons learned from them are also discussed.
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38
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On R, Matsumoto T, Kushima H, Hirano R, Fujita M. Prevalence of viral infection in acute exacerbation of interstitial lung diseases in Japan. Respir Investig 2020; 58:473-478. [PMID: 32753313 PMCID: PMC7395810 DOI: 10.1016/j.resinv.2020.06.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 06/24/2020] [Accepted: 06/28/2020] [Indexed: 01/08/2023]
Abstract
Background Fatal acute exacerbation of interstitial lung diseases is often accompanied by indicators of infection such as fever, cough, and sputum. Although viral infection can contribute to acute exacerbation of interstitial lung diseases, few studies have identified a relationship between acute exacerbations and viral infections. The present study aimed to prospectively clarify the role of viral infection in patients showing acute exacerbation of interstitial lung disease in Japan. Methods Nasopharyngeal swab specimens were collected from patients with acute exacerbation of interstitial lung disease between May 2017 and February 2019. Respiratory viruses were detected by the Luminex xTAG Respiratory Viral Panel FAST v2 RUO kit and the BioFire FilmArray Respiratory Panel assay. Results Three of 29 patients demonstrated respiratory viral infection during acute exacerbation of interstitial lung diseases. The infectious agents were identified as respiratory syncytial virus, respiratory syncytial virus and influenza A virus, and influenza A virus and rhino/enterovirus in the three patients, respectively. Conclusions These results suggest that viral infection did not frequently induce acute exacerbation of interstitial lung diseases in Japan.
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Affiliation(s)
- Rintaro On
- Department of Respiratory Medicine, Fukuoka University Hospital, Japan.
| | | | - Hisako Kushima
- Department of Respiratory Medicine, Fukuoka University Hospital, Japan.
| | - Ryosuke Hirano
- Department of Respiratory Medicine, Fukuoka University Hospital, Japan.
| | - Masaki Fujita
- Department of Respiratory Medicine, Fukuoka University Hospital, Japan.
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39
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Mizusawa M. Updates on Rapid Diagnostic Tests in Infectious Diseases. MISSOURI MEDICINE 2020; 117:328-337. [PMID: 32848269 PMCID: PMC7431065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
In the last two decades there have been dramatic advances in development of rapid diagnostic tests. Turnaround time of the assays have significantly been shortened which led to reductions in time to appropriate antimicrobial therapy and improvement of patient clinical outcomes. Molecular-based assays generally have better sensitivity than conventional methods, but the cost is higher. The results need to be interpreted cautiously as detection of colonized organisms, pathogen detection in asymptomatic patients, and false negative/positive can occur. Indications and cost-effectiveness need to be considered for appropriate utilization of rapid diagnostic tests.
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Affiliation(s)
- Masako Mizusawa
- Section of Infectious Diseases, Department of Internal Medicine, University of Missouri - Kansas City, Kansas City, Missouri
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40
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Yan YH, Zhang DY, Wu LR. Encoding multiple digital DNA signals in a single analog channel. Nucleic Acids Res 2020; 48:e65. [PMID: 32338742 PMCID: PMC7293012 DOI: 10.1093/nar/gkaa303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/06/2020] [Accepted: 04/17/2020] [Indexed: 01/20/2023] Open
Abstract
For many analytic and biomedical applications, the presence of an analyte above or below a critical concentration is more informative for decision making than the actual concentration value. Straightforward analog-to-digital signal conversion does not take full advantage of the precision and dynamic range of modern sensors. Here, we present and experimentally demonstrate an analog-to-multiple-digital signal conversion, reporting digital signals that indicate whether the concentrations of specific DNA sequences exceed respective threshold values. These threshold values can be individually programmed for each target sequence. Experimentally, we showed representation of four DNA targets’ information in a single fluorescence channel.
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Affiliation(s)
- Yan Helen Yan
- Systems, Synthetic, and Physical Biology, Rice University, Houston, 77030 TX, USA.,Department of Bioengineering, Rice University, Houston, 77030 TX, USA
| | - David Yu Zhang
- Systems, Synthetic, and Physical Biology, Rice University, Houston, 77030 TX, USA.,Department of Bioengineering, Rice University, Houston, 77030 TX, USA
| | - Lucia R Wu
- Department of Bioengineering, Rice University, Houston, 77030 TX, USA
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41
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Ackerman CM, Myhrvold C, Thakku SG, Freije CA, Metsky HC, Yang DK, Ye SH, Boehm CK, Kosoko-Thoroddsen TSF, Kehe J, Nguyen TG, Carter A, Kulesa A, Barnes JR, Dugan VG, Hung DT, Blainey PC, Sabeti PC. Massively multiplexed nucleic acid detection with Cas13. Nature 2020; 582:277-282. [PMID: 32349121 PMCID: PMC7332423 DOI: 10.1038/s41586-020-2279-8] [Citation(s) in RCA: 428] [Impact Index Per Article: 107.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/20/2020] [Indexed: 12/26/2022]
Abstract
The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples1-3 while simultaneously testing for many pathogens4-6. Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents7 self-organize in a microwell array8 to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health9-11.
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Affiliation(s)
- Cheri M Ackerman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Cameron Myhrvold
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Sri Gowtham Thakku
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA
| | - Catherine A Freije
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Ph.D. Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Hayden C Metsky
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - David K Yang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Simon H Ye
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA
| | - Chloe K Boehm
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | | | - Jared Kehe
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Tien G Nguyen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Amber Carter
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Anthony Kulesa
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - John R Barnes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vivien G Dugan
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Deborah T Hung
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Molecular Biology Department and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Paul C Blainey
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Biological Engineering, MIT, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA.
| | - Pardis C Sabeti
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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42
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Comparable Detections of Viral Pathogens in Lower Respiratory Tract Specimens with the BioFire Respiratory Panel 2 and the BioFire Pneumonia Panel. J Clin Microbiol 2020; 58:JCM.00254-20. [PMID: 32269103 DOI: 10.1128/jcm.00254-20] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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43
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Van Gool A, Corrales F, Čolović M, Krstić D, Oliver-Martos B, Martínez-Cáceres E, Jakasa I, Gajski G, Brun V, Kyriacou K, Burzynska-Pedziwiatr I, Wozniak LA, Nierkens S, Pascual García C, Katrlik J, Bojic-Trbojevic Z, Vacek J, Llorente A, Antohe F, Suica V, Suarez G, t'Kindt R, Martin P, Penque D, Martins IL, Bodoki E, Iacob BC, Aydindogan E, Timur S, Allinson J, Sutton C, Luider T, Wittfooth S, Sammar M. Analytical techniques for multiplex analysis of protein biomarkers. Expert Rev Proteomics 2020; 17:257-273. [PMID: 32427033 DOI: 10.1080/14789450.2020.1763174] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The importance of biomarkers for pharmaceutical drug development and clinical diagnostics is more significant than ever in the current shift toward personalized medicine. Biomarkers have taken a central position either as companion markers to support drug development and patient selection, or as indicators aiming to detect the earliest perturbations indicative of disease, minimizing therapeutic intervention or even enabling disease reversal. Protein biomarkers are of particular interest given their central role in biochemical pathways. Hence, capabilities to analyze multiple protein biomarkers in one assay are highly interesting for biomedical research. AREAS COVERED We here review multiple methods that are suitable for robust, high throughput, standardized, and affordable analysis of protein biomarkers in a multiplex format. We describe innovative developments in immunoassays, the vanguard of methods in clinical laboratories, and mass spectrometry, increasingly implemented for protein biomarker analysis. Moreover, emerging techniques are discussed with potentially improved protein capture, separation, and detection that will further boost multiplex analyses. EXPERT COMMENTARY The development of clinically applied multiplex protein biomarker assays is essential as multi-protein signatures provide more comprehensive information about biological systems than single biomarkers, leading to improved insights in mechanisms of disease, diagnostics, and the effect of personalized medicine.
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Affiliation(s)
- Alain Van Gool
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute of Molecular Life Sciences, Radboud University Medical Center , Nijmegen, The Netherlands
| | - Fernado Corrales
- Functional Proteomics Laboratory, Centro Nacional De Biotecnología , Madrid, Spain
| | - Mirjana Čolović
- Department of Physical Chemistry, "Vinča" Institute of Nuclear Sciences, University of Belgrade , Belgrade, Serbia
| | - Danijela Krstić
- Institute of Medical Chemistry, Faculty of Medicine, University of Belgrade , Belgrade, Serbia
| | - Begona Oliver-Martos
- Neuroimmunology and Neuroinflammation Group. Instituto De Investigación Biomédica De Málaga-IBIMA. UGC Neurociencias, Hospital Regional Universitario De Málaga , Malaga, Spain
| | - Eva Martínez-Cáceres
- Immunology Division, LCMN, Germans Trias I Pujol University Hospital and Research Institute, Campus Can Ruti, Badalona, and Department of Cellular Biology, Physiology and Immunology, Universitat Autònoma De Barcelona , Cerdanyola Del Vallès, Spain
| | - Ivone Jakasa
- Laboratory for Analytical Chemistry, Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb , Zagreb, Croatia
| | - Goran Gajski
- Mutagenesis Unit, Institute for Medical Research and Occupational Health , Zagreb, Croatia
| | - Virginie Brun
- Université Grenoble Alpes, CEA, Inserm, IRIG, BGE , Grenoble, France
| | - Kyriacos Kyriacou
- Department of Electron Microscopy/Molecular Biology, The Cyprus School of Molecular Medicine/The Cyprus Institute of Neurology and Genetics , Nicosia, Cyprus
| | - Izabela Burzynska-Pedziwiatr
- Medical Faculty, Department of Biomedical Sciences, Chair of Medical Biology & Department of Structural Biology, Medical University of Lodz , Łódź, Poland
| | - Lucyna Alicja Wozniak
- Medical Faculty, Department of Biomedical Sciences, Chair of Medical Biology & Department of Structural Biology, Medical University of Lodz , Łódź, Poland
| | - Stephan Nierkens
- Center for Translational Immunology, University Medical Center Utrecht & Princess Máxima Center for Pediatric Oncology , Utrecht, The Netherlands
| | - César Pascual García
- Materials Research and Technology Department, Luxembourg Institute of Science and Technology (LIST) , Belvaux, Luxembourg
| | - Jaroslav Katrlik
- Department of Glycobiotechnology, Institute of Chemistry, Slovak Academy of Sciences , Bratislava, Slovakia
| | - Zanka Bojic-Trbojevic
- Laboratory for Biology of Reproduction, Institute for the Application of Nuclear Energy - INEP, University of Belgrade , Belgrade, Serbia
| | - Jan Vacek
- Department of Medical Chemistry and Biochemistry, Faculty of Medicine and Dentistry, Palacky University , Olomouc, Czech Republic
| | - Alicia Llorente
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital , Oslo, Norway
| | - Felicia Antohe
- Proteomics Department, Institute of Cellular Biology and Pathology "N. Simionescu" of the Romanian Academy , Bucharest, Romania
| | - Viorel Suica
- Proteomics Department, Institute of Cellular Biology and Pathology "N. Simionescu" of the Romanian Academy , Bucharest, Romania
| | - Guillaume Suarez
- Center for Primary Care and Public Health (Unisanté), University of Lausanne , Lausanne, Switzerland
| | - Ruben t'Kindt
- Research Institute for Chromatography (RIC) , Kortrijk, Belgium
| | - Petra Martin
- Department of Medical Oncology, Midland Regional Hospital Tullamore/St. James's Hospital , Dublin, Ireland
| | - Deborah Penque
- Human Genetics Department, Instituto Nacional De Saúde Dr Ricardo Jorge, Lisboa, Portugal and Centre for Toxicogenomics and Human Health, Universidade Nova De Lisboa , Lisbon,Portugal
| | - Ines Lanca Martins
- Human Genetics Department, Instituto Nacional De Saúde Dr Ricardo Jorge, Lisboa, Portugal and Centre for Toxicogenomics and Human Health, Universidade Nova De Lisboa , Lisbon,Portugal
| | - Ede Bodoki
- Analytical Chemistry Department, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy , Cluj-Napoca, Romania
| | - Bogdan-Cezar Iacob
- Analytical Chemistry Department, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy , Cluj-Napoca, Romania
| | - Eda Aydindogan
- Department of Chemistry, Graduate School of Sciences and Engineering, Koç University , Istanbul, Turkey
| | - Suna Timur
- Institute of Natural Sciences, Department of Biochemistry, Ege University , Izmir, Turkey
| | | | | | - Theo Luider
- Department of Neurology, Erasmus MC , Rotterdam, The Netherlands
| | | | - Marei Sammar
- Ephraim Katzir Department of Biotechnology Engineering, ORT Braude College , Karmiel, Israel
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44
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Concato C, Piccioni L, Ranno S, Antonelli F, Buonomini A, Coltella L, Pizzichemi G, Chiavelli S, Riva E. Comparison of the Allplex TM Respiratory Panel Assays and the automated Fast Track Diagnostics Respiratory pathogens 21 assay for the diagnosis of pediatric respiratory viral infections. Arch Virol 2020; 165:1191-1196. [PMID: 32232675 PMCID: PMC7105963 DOI: 10.1007/s00705-020-04593-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/17/2020] [Indexed: 11/29/2022]
Abstract
Acute respiratory tract infections frequently occur in children and represent one of the leading causes of morbidity and mortality worldwide. Quick and accurate pathogen detection can lead to a more appropriate use of antimicrobial treatment as well as timely implementation of isolation precautions. In the last decade, several commercial assays have been developed for the simultaneous diagnosis of respiratory pathogens, which substantially vary in formulation and performance characteristics. The aim of this study was to compare the performance of the "AllplexTM Respiratory Panel Assays" (Seegene) with that of the automated "Fast Track Diagnostics Respiratory pathogens 21" assay (Siemens) for the diagnosis of pediatric respiratory viral infections. One hundred forty-five nasopharyngeal wash samples, collected at the Bambino Gesù Pediatric Hospital in Rome during the fall-winter 2017-2018 season, were processed and analyzed with both workflows. Our results suggest a high concordance between the two methods for positive and negative samples. Sensitivity and specificity were calculated with both tests as a reference method. For the AllplexTM Respiratory Panel Assays, they were 98% and 100%, respectively, and for the Fast Track Diagnostics Respiratory pathogens 21 assay, they were both 100%. This comparative study allowed us to highlight the characteristics of the two assays to evaluate the best solution, on the basis of diagnostic routine and laboratory workflows, keeping in mind local epidemiology.
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Affiliation(s)
- C Concato
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Livia Piccioni
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
| | - S Ranno
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - F Antonelli
- Lab of Virology, Campus Bio-Medico University, Rome, Italy
| | - A Buonomini
- Lab of Virology, Campus Bio-Medico University, Rome, Italy
| | - L Coltella
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - G Pizzichemi
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - S Chiavelli
- UOC Microbiology, Virology and Parassitology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - E Riva
- Lab of Virology, Campus Bio-Medico University, Rome, Italy
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45
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Jeong S, Park MJ, Song W, Kim HS. Advances in laboratory assays for detecting human metapneumovirus. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:608. [PMID: 32566634 PMCID: PMC7290561 DOI: 10.21037/atm.2019.12.42] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Human metapneumovirus (HMPV) is one of the major causes of acute respiratory tract infection (ARI) and shows high morbidity and mortality, particularly in children and immunocompromised patients. Various methods for detecting HMPV have been developed and applied in clinical laboratories. When reviewing the literature, we found that polymerase chain reaction (PCR)-based assays have been most frequently and consistently used to detect HMPV. The most commonly used method was multiplex reverse transcriptase-PCR (RT-PCR; 57.4%), followed by real-time RT-PCR (38.3%). Multiplex RT-PCR became the more popular method in 2011-2019 (69.7%), in contrast to 2001-2009 (28.6%). The advent of multiplex PCR in detecting broader viral pathogens in one run and coinfected viruses influenced the change in user preference. Further, newly developed microarray technologies and ionization mass spectrometry were introduced in 2011-2019. Viral culture (including shell vial assays) and fluorescent immunoassays (with or without culture) were once the mainstays. However, the percentage of studies employing culture and fluorescent immunoassays decreased from 21.4% in 2001-2010 to 15.2% in 2011-2019. Meanwhile, the use of PCR-based methods of HMPV detection increased from 78.6% in 2001-2010 to 84.8% in 2011-2019. The increase in PCR-based methods might have occurred because PCR methods demonstrated better diagnostic performance, shorter hands-on and run times, less hazards to laboratory personnel, and more reliable results than traditional methods. When using these assays, it is important to acquire a comprehensive understanding of the principles, advantages, disadvantages, and precautions for data interpretation. In the future, the combination of nanotechnology and advanced genetic platforms such as next-generation sequencing will benefit patients with HMPV infection by facilitating efficient therapeutic intervention. Analytical and clinical validation are required before using new techniques in clinical laboratories.
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Affiliation(s)
- Seri Jeong
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Min-Jeong Park
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Wonkeun Song
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Hyon-Suk Kim
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
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Abstract
OBJECTIVES Clinical diagnostics in sudden onset disasters have historically been limited. We set out to design, implement, and evaluate a mobile diagnostic laboratory accompanying a type 2 emergency medical team (EMT) field hospital. METHODS Available diagnostic platforms were reviewed and selected against in field need. Platforms included HemoCue301/WBC DIFF, i-STAT, BIOFIRE FILMARRAY multiplex rt-PCR, Olympus BX53 microscopy, ABO/Rh grouping, and specific rapid diagnostic tests. This equipment was trialed in Katherine, Australia, and Dili, Timor-Leste. RESULTS During the initial deployment, an evaluation of FilmArray tests was successful using blood culture identification, gastrointestinal, and respiratory panels. HemoCue301 (n = 20) hemoglobin values were compared on Sysmex XN 550 (r = 0.94). HemoCue WBC DIFF had some variation, dependent on the cell, when compared with Sysmex XN 550 (r = 0.88-0.16). i-STAT showed nonsignificant differences against Vitros 250. Further evaluation of FilmArray in Dili, Timor-Leste, diagnosed 117 pathogens on 168 FilmArray pouches, including 25 separate organisms on blood culture and 4 separate cerebrospinal fluid pathogens. CONCLUSION This mobile laboratory represents a major advance in sudden onset disaster. Setup of the service was quick (< 24 hr) and transport to site rapid. Future deployment in fragmented health systems after sudden onset disasters with EMT2 will now allow broader diagnostic capability.
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Trotter M, Borst N, Thewes R, von Stetten F. Review: Electrochemical DNA sensing – Principles, commercial systems, and applications. Biosens Bioelectron 2020; 154:112069. [DOI: 10.1016/j.bios.2020.112069] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/28/2020] [Accepted: 02/01/2020] [Indexed: 02/06/2023]
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Abstract
Respiratory viral infections are a leading cause of disease worldwide. A variety of respiratory viruses produce infections in humans with effects ranging from asymptomatic to life-treathening. Standard surveillance systems typically only target severe infections (ED outpatients, hospitalisations, deaths) and fail to track asymptomatic or mild infections. Here we performed a large-scale community study across multiple age groups to assess the pathogenicity of 18 respiratory viruses. We enrolled 214 individuals at multiple New York City locations and tested weekly for respiratory viral pathogens, irrespective of symptom status, from fall 2016 to spring 2018. We combined these test results with participant-provided daily records of cold and flu symptoms and used this information to characterise symptom severity by virus and age category. Asymptomatic infection rates exceeded 70% for most viruses, excepting influenza and human metapneumovirus, which produced significantly more severe outcomes. Symptoms were negatively associated with infection frequency, with children displaying the lowest score among age groups. Upper respiratory manifestations were most common for all viruses, whereas systemic effects were less typical. These findings indicate a high burden of asymptomatic respiratory virus infection exists in the general population.
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LeBlanc JJ, ElSherif M, Mulpuru S, Warhuus M, Ambrose A, Andrew M, Boivin G, Bowie W, Chit A, Dos Santos G, Green K, Halperin SA, Hatchette TF, Ibarguchi B, Johnstone J, Katz K, Langley JM, Lagacé-Wiens P, Loeb M, Lund A, MacKinnon-Cameron D, McCarthy A, McElhaney JE, McGeer A, Poirier A, Powis J, Richardson D, Semret M, Shinde V, Smyth D, Trottier S, Valiquette L, Webster D, Ye L, McNeil S. Validation of the Seegene RV15 multiplex PCR for the detection of influenza A subtypes and influenza B lineages during national influenza surveillance in hospitalized adults. J Med Microbiol 2020; 69:256-264. [PMID: 31264957 PMCID: PMC7431100 DOI: 10.1099/jmm.0.001032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/16/2019] [Indexed: 01/04/2023] Open
Abstract
Background. The Serious Outcomes Surveillance Network of the Canadian Immunization Research Network (CIRN SOS) has been performing active influenza surveillance since 2009 (ClinicalTrials.gov identifier: NCT01517191). Influenza A and B viruses are identified and characterized using real-time reverse-transcriptase polymerase chain reaction (RT-PCR), and multiplex testing has been performed on a subset of patients to identify other respiratory virus aetiologies. Since both methods can identify influenza A and B, a direct comparison was performed.Methods. Validated real-time RT-PCRs from the World Health Organization (WHO) to identify influenza A and B viruses, characterize influenza A viruses into the H1N1 or H3N2 subtypes and describe influenza B viruses belonging to the Yamagata or Victoria lineages. In a subset of patients, the Seeplex RV15 One-Step ACE Detection assay (RV15) kit was also used for the detection of other respiratory viruses.Results. In total, 1111 nasopharyngeal swabs were tested by RV15 and real-time RT-PCRs for influenza A and B identification and characterization. For influenza A, RV15 showed 98.0 % sensitivity, 100 % specificity and 99.7 % accuracy. The performance characteristics of RV15 were similar for influenza A subtypes H1N1 and H3N2. For influenza B, RV15 had 99.2 % sensitivity, 100 % specificity and 99.8 % accuracy, with similar assay performance being shown for both the Yamagata and Victoria lineages.Conclusions. Overall, the detection of circulating subtypes of influenza A and lineages of influenza B by RV15 was similar to detection by real-time RT-PCR. Multiplex testing with RV15 allows for a more comprehensive respiratory virus surveillance in hospitalized adults, without significantly compromising the reliability of influenza A or B virus detection.
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Affiliation(s)
- J. J. LeBlanc
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - M. ElSherif
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - S. Mulpuru
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - M. Warhuus
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - A. Ambrose
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - M. Andrew
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - G. Boivin
- Centre Hospitalier Universitaire de Québec, QC, Canada
| | - W. Bowie
- University of British Columbia, Vancouver, BC, Canada
| | - A. Chit
- Sanofi Pasteur, Swiftwater, PA, USA
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - G. Dos Santos
- Business & Decision Life Sciences (on behalf of GSK), Bruxelles, Belgium
- Present address: GSK, Wavre, Belgium
| | - K. Green
- Mount Sinai Hospital, Toronto, ON, Canada
| | - S. A. Halperin
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - T. F. Hatchette
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - B. Ibarguchi
- GSK, Mississauga, ON, Canada
- Present address: Bayer, Inc., Mississauga, Ontario, Canada
| | - J. Johnstone
- Public Health Ontario and University of Toronto, Toronto, ON, Canada
| | - K. Katz
- North York General Hospital, Toronto, ON, Canada
| | - J. M. Langley
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | | | - M. Loeb
- Public Health Ontario and University of Toronto, Toronto, ON, Canada
| | - A. Lund
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - D. MacKinnon-Cameron
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - A. McCarthy
- Ottawa Hospital General, Ottawa, Ontario, Canada
| | - J. E. McElhaney
- Health Sciences North Research Institute, Sudbury, ON, Canada
| | - A. McGeer
- Mount Sinai Hospital, Toronto, ON, Canada
| | - A. Poirier
- Centre Intégré Universitaire de Santé et Services Sociaux, Quebec, QC, Canada
| | - J. Powis
- Toronto East General Hospital, Toronto, ON, Canada
| | | | - M. Semret
- McGill University, Montreal, QC, Canada
| | - V. Shinde
- GSK, King of Prussia, PA, USA
- Present address: Novavax Vaccines, Washington, DC, USA
| | - D. Smyth
- The Moncton Hospital, Moncton, NB, Canada
| | - S. Trottier
- Centre Hospitalier Universitaire de Québec, QC, Canada
| | | | | | - L. Ye
- Canadian Center for Vaccinology, Dalhousie University, IWK Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - S. A. McNeil
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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Optimal Timing of Repeat Multiplex Molecular Testing for Respiratory Viruses. J Clin Microbiol 2020; 58:JCM.01203-19. [PMID: 31748321 DOI: 10.1128/jcm.01203-19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/12/2019] [Indexed: 01/25/2023] Open
Abstract
Determining whether and when multiplex nucleic acid amplification tests (NAATs) for respiratory viruses should be repeated is difficult. We analyzed 5 years of results for a multiplex NAAT targeting 14 respiratory viruses, to determine how often repeat tests were ordered and the time period in which results were likely to change. Results for NAATs performed on nasopharyngeal specimens and repeated within 90 days after initial testing were analyzed. Logistic regression models were used to compare time periods between tests with respect to the odds of a change in the sample result. During the study period, 21,819 nasopharyngeal specimens from 16,779 individuals were submitted. Of these, 8,807 samples (40%) were positive for at least one viral pathogen. Among this cohort, 2,583 specimens (12%) collected from 1,473 patients (9%) were repeat tests performed within 90 days after an initial test. If repeated within 90 days, 71% of tests (1,833 tests) did not have a change in result. Initially negative tests typically remained negative, whereas initially positive tests mostly remained positive until 11 to 15 days. The odds of result change plateaued after 20 days. The odds of result change for tests repeated within 20 days were only 0.52 times the odds (95% confidence interval, 0.43 to 0.62) for those repeated at 21 to 90 days (P < 0.001). Multiplex tests for respiratory viruses that are repeated within short periods lead to redundant results at additional costs. Repeat testing of nasopharyngeal specimens before 20 days demonstrates little change. These results provide a vital component for use in laboratory stewardship to curtail unnecessary respiratory viral testing.
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