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1000
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Abstract/Summary
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The study aimed to evaluate the diagnostic accuracy of contact history and clinical symptoms and to develop decision rules for ruling-in and ruling-out SARS-CoV-2 infection in family practice. We performed a prospective diagnostic study. Consecutive inclusion of patients coming for COVID-PCR testing to 19 general practices. Contact history and self-reported symptoms served as index test. PCR testing of nasopharyngeal swabs served as reference standard. Complete data were available from 1141 patients, 605 (53.0%) female, average age 42.2 years, 182 (16.0%) COVID-PCR positive. Multivariable logistic regression showed highest odds ratios (ORs) for 'contact with infected person' (OR 9.22, 95% CI 5.61-15.41), anosmia/ageusia (8.79, 4.89-15.95), fever (4.25, 2.56-7.09), and 'sudden disease onset' (2.52, 1.55-4.14). Patients with 'contact with infected person' or 'anosmia/ageusia' with or without self-reported 'fever' had a high probability of COVID infection up to 84.8%. Negative response to the four items 'contact with infected person, anosmia/ageusia, fever, sudden disease onset' showed a negative predictive value (NPV) of 0.98 (95% CI 0.96-0.99). This was present in 446 (39.1%) patients. NPV of 'completely asymptomatic,' 'no contact,' 'no risk area' was 1.0 (0.96-1.0). This was present in 84 (7.4%) patients. To conclude, the combination of four key items allowed exclusion of SARS-CoV-2 infection with high certainty. With the goal of 100% exclusion of SARS-CoV-2 infection to prevent the spread of SARS-CoV-2 to the population level, COVID-PCR testing could be saved only for patients with negative response in all items. The decision rule might also help for ruling-in SARS-CoV-2 infection in terms of rapid assessment of infection risk.
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1000
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Hinweis
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DeepGreen-ID: c248da7a5adf4669a00e07d86e45b99e ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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