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Abstract/Summary
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Background!#!The current COVID-19 pandemic, despite the availability of rapid tests and the start of the vaccination campaign, continues to pose major challenges to emergency departments (ED). Structured collection of demographic, clinical, as well as treatment-related data provides the basis for establishing evidence-based processes and treatment concepts.!##!Aim of the work!#!To present the systematic collection of clinical parameters in patients with suspected COVID-19 in the Registry for COVID-19 in the Emergency Room (ReCovER) and descriptive presentation of the first 1000 patients.!##!Materials and methods!#!Data from patients with suspected COVID-19, regardless of evidence of SARS-CoV‑2 infection, are continuously entered into a web-based, anonymized registry in ED at six university hospitals.!##!Results!#!Between 19 May 2020 and 13 January 2021, 1000 patients were entered into the registry, of whom 594 patients (59.4%) were in the SARS-CoV‑2 positive group (PG) and 406 patients (40.6%) were in the negative group (NG). Patients of the PG had significantly fewer pre-existing conditions and a significantly longer latency between symptom onset and presentation to the ED (median 5 vs. 3 days), were more likely to suffer from cough, myalgia, fatigue, and loss of smell/taste and had significantly higher oxygen requirements than NG patients. The rate of severe disease progression was significantly higher in the PG, and persistent symptoms were more common after discharge (11.1 vs. 4.6%).!##!Conclusions!#!The multicenter collection of comprehensive clinical data on COVID-19 suspected cases in the ED allows analysis of aspects specific to the situation in Germany in particular. This is essential for a targeted review and adaptation of internationally published strategies.
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1000
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Hinweis
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DeepGreen-ID: aa1dd8940083499cbeab80a3f6d695df ; 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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