Author: Dinnes, Jacqueline; Deeks, Jonathan J; Adriano, Ada; Berhane, Sarah; Davenport, Clare; Dittrich, Sabine; Emperador, Devy; Takwoingi, Yemisi; Cunningham, Jane; Beese, Sophie; Dretzke, Janine; Ferrante di Ruffano, Lavinia; Harris, Isobel M; Price, Malcolm J; Taylor-Phillips, Sian; Hooft, Lotty; Leeflang, Mariska MG; Spijker, René; Van den Bruel, Ann
Title: Rapid, pointâ€ofâ€care antigen and molecularâ€based tests for diagnosis of SARSâ€CoVâ€2 infection Cord-id: i6aook9q Document date: 2020_8_26
ID: i6aook9q
Snippet: BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) and the resulting COVIDâ€19 pandemic present important diagnostic challenges. Several diagnostic strategies are available to identify or rule out current infection, identify people in need of care escalation, or to test for past infection and immune response. Pointâ€ofâ€care antigen and molecular tests to detect current SARSâ€CoVâ€2 infection have the potential to allow earlier detection and isolation of confirmed
Document: BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) and the resulting COVIDâ€19 pandemic present important diagnostic challenges. Several diagnostic strategies are available to identify or rule out current infection, identify people in need of care escalation, or to test for past infection and immune response. Pointâ€ofâ€care antigen and molecular tests to detect current SARSâ€CoVâ€2 infection have the potential to allow earlier detection and isolation of confirmed cases compared to laboratoryâ€based diagnostic methods, with the aim of reducing household and community transmission. OBJECTIVES: To assess the diagnostic accuracy of pointâ€ofâ€care antigen and molecularâ€based tests to determine if a person presenting in the community or in primary or secondary care has current SARSâ€CoVâ€2 infection. SEARCH METHODS: On 25 May 2020 we undertook electronic searches in the Cochrane COVIDâ€19 Study Register and the COVIDâ€19 Living Evidence Database from the University of Bern, which is updated daily with published articles from PubMed and Embase and with preprints from medRxiv and bioRxiv. In addition, we checked repositories of COVIDâ€19 publications. We did not apply any language restrictions. SELECTION CRITERIA: We included studies of people with suspected current SARSâ€CoVâ€2 infection, known to have, or not to have SARSâ€CoVâ€2 infection, or where tests were used to screen for infection. We included test accuracy studies of any design that evaluated antigen or molecular tests suitable for a pointâ€ofâ€care setting (minimal equipment, sample preparation, and biosafety requirements, with results available within two hours of sample collection). We included all reference standards to define the presence or absence of SARSâ€CoVâ€2 (including reverse transcription polymerase chain reaction (RTâ€PCR) tests and established clinical diagnostic criteria). DATA COLLECTION AND ANALYSIS: Two review authors independently screened studies and resolved any disagreements by discussion with a third review author. One review author independently extracted study characteristics, which were checked by a second review author. Two review authors independently extracted 2x2 contingency table data and assessed risk of bias and applicability of the studies using the QUADASâ€2 tool. We present sensitivity and specificity, with 95% confidence intervals (CIs), for each test using paired forest plots. We pooled data using the bivariate hierarchical model separately for antigen and molecularâ€based tests, with simplifications when few studies were available. We tabulated available data by test manufacturer. MAIN RESULTS: We included 22 publications reporting on a total of 18 study cohorts with 3198 unique samples, of which 1775 had confirmed SARSâ€CoVâ€2 infection. Ten studies took place in North America, two in South America, four in Europe, one in China and one was conducted internationally. We identified data for eight commercial tests (four antigen and four molecular) and one inâ€house antigen test. Five of the studies included were only available as preprints. We did not find any studies at low risk of bias for all quality domains and had concerns about applicability of results across all studies. We judged patient selection to be at high risk of bias in 50% of the studies because of deliberate overâ€sampling of samples with confirmed COVIDâ€19 infection and unclear in seven out of 18 studies because of poor reporting. Sixteen (89%) studies used only a single, negative RTâ€PCR to confirm the absence of COVIDâ€19 infection, risking missing infection. There was a lack of information on blinding of index test (n = 11), and around participant exclusions from analyses (n = 10). We did not observe differences in methodological quality between antigen and molecular test evaluations. Antigen tests Sensitivity varied considerably across studies (from 0% to 94%): the average sensitivity was 56.2% (95% CI 29.5 to 79.8%) and average specificity was 99.5% (95% CI 98.1% to 99.9%; based on 8 evaluations in 5 studies on 943 samples). Data for individual antigen tests were limited with no more than two studies for any test. Rapid molecular assays Sensitivity showed less variation compared to antigen tests (from 68% to 100%), average sensitivity was 95.2% (95% CI 86.7% to 98.3%) and specificity 98.9% (95% CI 97.3% to 99.5%) based on 13 evaluations in 11 studies of on 2255 samples. Predicted values based on a hypothetical cohort of 1000 people with suspected COVIDâ€19 infection (with a prevalence of 10%) result in 105 positive test results including 10 false positives (positive predictive value 90%), and 895 negative results including 5 false negatives (negative predictive value 99%). Individual tests We calculated pooled results of individual tests for ID NOW (Abbott Laboratories) (5 evaluations) and Xpert Xpress (Cepheid Inc) (6 evaluations). Summary sensitivity for the Xpert Xpress assay (99.4%, 95% CI 98.0% to 99.8%) was 22.6 (95% CI 18.8 to 26.3) percentage points higher than that of ID NOW (76.8%, (95% CI 72.9% to 80.3%), whilst the specificity of Xpert Xpress (96.8%, 95% CI 90.6% to 99.0%) was marginally lower than ID NOW (99.6%, 95% CI 98.4% to 99.9%; a difference of −2.8% (95% CI −6.4 to 0.8)) AUTHORS' CONCLUSIONS: This review identifies earlyâ€stage evaluations of pointâ€ofâ€care tests for detecting SARSâ€CoVâ€2 infection, largely based on remnant laboratory samples. The findings currently have limited applicability, as we are uncertain whether tests will perform in the same way in clinical practice, and according to symptoms of COVIDâ€19, duration of symptoms, or in asymptomatic people. Rapid tests have the potential to be used to inform triage of RTâ€PCR use, allowing earlier detection of those testing positive, but the evidence currently is not strong enough to determine how useful they are in clinical practice. Prospective and comparative evaluations of rapid tests for COVIDâ€19 infection in clinically relevant settings are urgently needed. Studies should recruit consecutive series of eligible participants, including both those presenting for testing due to symptoms and asymptomatic people who may have come into contact with confirmed cases. Studies should clearly describe symptomatic status and document time from symptom onset or time since exposure. Pointâ€ofâ€care tests must be conducted on samples according to manufacturer instructions for use and be conducted at the point of care. Any future research study report should conform to the Standards for Reporting of Diagnostic Accuracy (STARD) guideline.
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