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External Validation of COVID-19 Risk Scores during Three Waves of Pandemic in a German Cohort-A Retrospective Study.
Häger, Lukas; Wendland, Philipp; Biergans, Stephanie; Lederer, Simone; de Arruda Botelho Herr, Marius; Erhardt, Christian; Schmauder, Kristina; Kschischo, Maik; Malek, Nisar Peter; Bunk, Stefanie; Bitzer, Michael; Gladstone, Beryl Primrose; Göpel, Siri.
  • Häger L; Department of Internal Medicine 1, University Hospital Tübingen, Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
  • Wendland P; Department of Mathematics and Technology, University of Applied Sciences Koblenz, Joseph-Rovan-Allee 2, 53424 Remagen, Germany.
  • Biergans S; Medical Data Integration Center (meDIC), University Hospital Tübingen, Schaffhausenstraße 77, 72072 Tubingen, Germany.
  • Lederer S; Medical Data Integration Center (meDIC), University Hospital Tübingen, Schaffhausenstraße 77, 72072 Tubingen, Germany.
  • de Arruda Botelho Herr M; Medical Data Integration Center (meDIC), University Hospital Tübingen, Schaffhausenstraße 77, 72072 Tubingen, Germany.
  • Erhardt C; Medical Data Integration Center (meDIC), University Hospital Tübingen, Schaffhausenstraße 77, 72072 Tubingen, Germany.
  • Schmauder K; Institute of Medical Microbiology and Hospital Hygiene, University Hospital Tübingen, Elfriede-Aulhorn-Str. 6, 72076 Tubingen, Germany.
  • Kschischo M; Department of Mathematics and Technology, University of Applied Sciences Koblenz, Joseph-Rovan-Allee 2, 53424 Remagen, Germany.
  • Malek NP; Department of Internal Medicine 1, University Hospital Tübingen, Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
  • Bunk S; Department of Internal Medicine 1, University Hospital Tübingen, Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
  • Bitzer M; Department of Internal Medicine 1, University Hospital Tübingen, Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
  • Gladstone BP; Department of Internal Medicine 1, University Hospital Tübingen, Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
  • Göpel S; Clinical Research Unit for Health Care Associated Infections, German Center for Infection Research (DZIF), Otfried-Müllerstrasse 10, 72076 Tubingen, Germany.
J Pers Med ; 12(11)2022 Oct 28.
Article in English | MEDLINE | ID: covidwho-2090244
ABSTRACT
Several risk scores were developed during the COVID-19 pandemic to identify patients at risk for critical illness as a basic step to personalizing medicine even in pandemic circumstances. However, the generalizability of these scores with regard to different populations, clinical settings, healthcare systems, and new epidemiological circumstances is unknown. The aim of our study was to compare the predictive validity of qSOFA, CRB65, NEWS, COVID-GRAM, and 4C-Mortality score. In a monocentric retrospective cohort, consecutively hospitalized adults with COVID-19 from February 2020 to June 2021 were included; risk scores at admission were calculated. The area under the receiver operating characteristic curve and the area under the precision-recall curve were compared using DeLong's method and a bootstrapping approach. A total of 347 patients were included; 23.6% were admitted to the ICU, and 9.2% died in a hospital. NEWS and 4C-Score performed best for the outcomes ICU admission and in-hospital mortality. The easy-to-use bedside score NEWS has proven to identify patients at risk for critical illness, whereas the more complex COVID-19-specific scores 4C and COVID-GRAM were not superior. Decreasing mortality and ICU-admission rates affected the discriminatory ability of all scores. A further evaluation of risk assessment is needed in view of new and rapidly changing epidemiological evolution.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jpm12111775

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jpm12111775