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Bustin SA. RT-qPCR Testing and Performance Metrics in the COVID-19 Era. Int J Mol Sci 2024; 25:9326. [PMID: 39273275 PMCID: PMC11394961 DOI: 10.3390/ijms25179326] [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] [Received: 08/06/2024] [Revised: 08/23/2024] [Accepted: 08/26/2024] [Indexed: 09/15/2024] Open
Abstract
The COVID-19 pandemic highlighted the crucial role of diagnostic testing in managing infectious diseases, particularly through the use of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) tests. RT-qPCR has been pivotal in detecting and quantifying viral RNA, enabling the identification and management of SARS-CoV-2 infections. However, despite its widespread use, there remains a notable gap in understanding fundamental diagnostic metrics such as sensitivity and specificity among many scientists and healthcare practitioners. This gap is not merely academic; it has profound implications for interpreting test results, making public health decisions, and affecting patient outcomes. This review aims to clarify the distinctions between laboratory- and field-based metrics in the context of RT-qPCR testing for SARS-CoV-2 and summarise the global efforts that led to the development and optimisation of these tests during the pandemic. It is intended to enhance the understanding of these fundamental concepts among scientists and healthcare professionals who may not be familiar with the nuances of diagnostic test evaluation. Such knowledge is crucial for accurately interpreting test results, making informed public health decisions, and ultimately managing infectious disease outbreaks more effectively.
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Affiliation(s)
- Stephen A Bustin
- Medical Technology Research Centre, Anglia Ruskin University, Chelmsford CM1 1SQ, UK
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MacLean ELH, Villa-Castillo L, Espinoza-Lopez P, Caceres T, Sulis G, Kohli M, Pai M, Ugarte-Gil C. Integrating tuberculosis and COVID-19 molecular testing in Lima, Peru: a cross-sectional, diagnostic accuracy study. THE LANCET. MICROBE 2023:S2666-5247(23)00042-3. [PMID: 37068500 PMCID: PMC10105319 DOI: 10.1016/s2666-5247(23)00042-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/23/2022] [Accepted: 02/07/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Integrated molecular testing could be an opportunity to detect and provide care for both tuberculosis and COVID-19. Many high tuberculosis burden countries, such as Peru, have existing GeneXpert systems for tuberculosis testing with GeneXpert Xpert MTB/RIF Ultra (Xpert Ultra), and a GeneXpert SARS-CoV-2 assay, GeneXpert Xpert Xpress SARS-CoV-2 (Xpert Xpress), is also available. We aimed to assess the feasibility of integrating tuberculosis and COVID-19 testing using one sputum specimen with Xpert Ultra and Xpert Xpress in Lima, Peru. METHODS In this cross-sectional, diagnostic accuracy study, we recruited adults presenting with clinical symptoms or suggestive history of tuberculosis or COVID-19, or both. Participants were recruited from a total of 35 primary health facilities in Lima, Peru. Participants provided one nasopharyngeal swab and one sputum sample. For COVID-19, we tested nasopharyngeal swabs and sputum using Xpert Xpress; for tuberculosis, we tested sputum using culture and Xpert Ultra. We compared diagnostic accuracy of sputum testing using Xpert Xpress with nasopharyngeal swab testing using Xpert Xpress. Individuals with positive Xpert Xpress nasopharyngeal swab results were considered COVID-19 positive, and a positive culture indicated tuberculosis. To assess testing integration, the proportion of cases identified in sputum by Xpert Xpress was compared with Xpert Xpress on nasopharyngeal swabs, and sputum by Xpert Ultra was compared with culture. FINDINGS Between Jan 11, 2021, and April 26, 2022, we recruited 600 participants (312 [52%] women and 288 [48%] men). In-study prevalence of tuberculosis was 13% (80 participants, 95% CI 11-16) and of SARS-CoV-2 was 35% (212 participants, 32-39). Among tuberculosis cases, 13 (2·2%, 1·2-3·7) participants were concurrently positive for SARS-CoV-2. Regarding the diagnostic yield of integrated testing, Xpert Ultra detected 96% (89-99) of culture-confirmed tuberculosis cases (n=77), and Xpert Xpress-sputum detected 67% (60-73) of COVID-19 cases (n=134). All five study staff reported that integrated molecular testing was easy and acceptable. INTERPRETATION The diagnostic yield of Xpert Xpress on sputum was moderate, but integrated testing for tuberculosis and COVID-19 with GeneXpert was feasible. However, systematic testing for both diseases might not be the ideal approach for everyone presenting with presumptive tuberculosis or COVID-19, as concurrent positive cases were rare during the study period. Further research might help to identify when integrated testing is most worthwhile and its optimal implementation. FUNDING Canadian Institutes of Health Research and International Development Research Centre. TRANSLATION For the Spanish translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Emily Lai-Ho MacLean
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Luz Villa-Castillo
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia Lima, Peru
| | - Patricia Espinoza-Lopez
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia Lima, Peru
| | - Tatiana Caceres
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia Lima, Peru
| | - Giorgia Sulis
- McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, QC, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | | | - Madhukar Pai
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - César Ugarte-Gil
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia Lima, Peru; School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
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Chopoorian A, Banada P, Reiss R, Elson D, Desind S, Park C, Banik S, Hennig E, Wats A, Togba A, Wei A, Daivaa N, Palo L, Hirsch M, Campbell C, Saiganesh P, Alland D, Xie YL. Persistence of SARS-CoV-2 in saliva: Implications for late-stage diagnosis and infectious duration. PLoS One 2023; 18:e0282708. [PMID: 36928472 PMCID: PMC10019618 DOI: 10.1371/journal.pone.0282708] [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: 11/28/2022] [Accepted: 02/21/2023] [Indexed: 03/18/2023] Open
Abstract
Saliva has been a COVID-19 diagnostic specimen of interest due to its simple collection, scalability, and yield. Yet COVID-19 testing and estimates of the infectious period remain largely based on nasopharyngeal and nasal swabs. We sought to evaluate whether saliva testing captured prolonged presence of SARS-CoV-2 and potential infectiousness later in the disease course. We conducted an observational study of symptomatic COVID-19 patients at University Hospital in Newark, NJ. Paired saliva and nasal specimens from 96 patients were analyzed, including longitudinal analysis of paired observations from 28 of these patients who had multiple time-points. Saliva detected significantly more cases of COVID-19 beyond 5 days (86.1% [99/115] saliva vs 48.7% [56/115] nasal, p-value < 0.001), 9 days (79.4% [50/63] saliva vs 36.5% [23/63] nasal, p-value < 0.001) and 14 days (71.4% [20/28] saliva vs 32.1% [9/28] nasal, p-value = 0.010) of symptoms. Additionally, saliva yielded lower cycle thresholds across all time periods, indicative of higher viral loads in saliva. In the longitudinal analysis, a log-rank analysis indicated that the survival curve for saliva was significantly different from the curve for nasal swabs (p<0.001) with a median survival time for saliva of 18 days compared to 13 days for nasal swabs. We additionally performed saliva viral cultures among a similar COVID-19 patient cohort and noted patients with positive saliva viral cultures between 7 to 28 days of symptoms. Findings from this study suggest that SARS-CoV-2 RNA persists longer and in higher abundance in saliva compared to nasal swabs, with potential of prolonged propagating virus. Testing saliva may thus increase yield for detecting potentially infectious virus even beyond the first five days of symptomatic COVID-19.
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Affiliation(s)
- Abby Chopoorian
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Padmapriya Banada
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Robert Reiss
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - David Elson
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Samuel Desind
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Claire Park
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Sukalyani Banik
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Emily Hennig
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
- Rutgers School of Public Health, Piscataway, New Jersey, United States of America
| | - Aanchal Wats
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
- Rutgers School of Public Health, Piscataway, New Jersey, United States of America
| | - Austin Togba
- Rutgers School of Public Health, Piscataway, New Jersey, United States of America
| | - Abraham Wei
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Naranjargal Daivaa
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Laura Palo
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Mitchell Hirsch
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Carter Campbell
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Pooja Saiganesh
- School of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - David Alland
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Yingda L. Xie
- Department of Medicine, Public Health Research Institute, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
- * E-mail:
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Parmar H, Montovano M, Banada P, Pentakota SR, Shiau S, Ma Z, Saibire K, Chopoorian A, O’Shaughnessy M, Hirsch M, Jain P, Demirdjian G, Karagueuzian M, Robin T, Salvati M, Patel B, Alland D, Xie YL. RT-PCR negative COVID-19. BMC Infect Dis 2022; 22:149. [PMID: 35152885 PMCID: PMC8841043 DOI: 10.1186/s12879-022-07095-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 01/24/2022] [Indexed: 12/15/2022] Open
Abstract
Abstract
Background
COVID-19 is a multi-system infection with emerging evidence-based antiviral and anti-inflammatory therapies to improve disease prognosis. However, a subset of patients with COVID-19 signs and symptoms have repeatedly negative RT-PCR tests, leading to treatment hesitancy. We used comparative serology early in the COVID-19 pandemic when background seroprevalence was low to estimate the likelihood of COVID-19 infection among RT-PCR negative patients with clinical signs and/or symptoms compatible with COVID-19.
Methods
Between April and October 2020, we conducted serologic testing of patients with (i) signs and symptoms of COVID-19 who were repeatedly negative by RT-PCR (‘Probables’; N = 20), (ii) signs and symptoms of COVID-19 but with a potential alternative diagnosis (‘Suspects’; N = 15), (iii) no signs and symptoms of COVID-19 (‘Non-suspects’; N = 43), (iv) RT-PCR confirmed COVID-19 patients (N = 40), and (v) pre-pandemic samples (N = 55).
Results
Probables had similar seropositivity and levels of IgG and IgM antibodies as propensity-score matched RT-PCR confirmed COVID-19 patients (60.0% vs 80.0% for IgG, p-value = 0.13; 50.0% vs 72.5% for IgM, p-value = 0.10), but multi-fold higher seropositivity rates than Suspects and matched Non-suspects (60.0% vs 13.3% and 11.6% for IgG; 50.0% vs 0% and 4.7% for IgM respectively; p-values < 0.01). However, Probables were half as likely to receive COVID-19 treatment than the RT-PCR confirmed COVID-19 patients with similar disease severity.
Conclusions
Findings from this study indicate a high likelihood of acute COVID-19 among RT-PCR negative with typical signs/symptoms, but a common omission of COVID-19 therapies among these patients. Clinically diagnosed COVID-19, independent of RT-PCR positivity, thus has a potential vital role in guiding treatment decisions.
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