Specific risk factors for fatal outcome in critically ill COVID-19 patients: results from a european multicenter study

  • (1) Background: The aim of our study was to identify specific risk factors for fatal outcome in critically ill COVID-19 patients. (2) Methods: Our data set consisted of 840 patients enclosed in the LEOSS registry. Using lasso regression for variable selection, a multifactorial logistic regression model was fitted to the response variable survival. Specific risk factors and their odds ratios were derived. A nomogram was developed as a graphical representation of the model. (3) Results: 14 variables were identified as independent factors contributing to the risk of death for critically ill COVID-19 patients: age (OR 1.08, CI 1.06–1.10), cardiovascular disease (OR 1.64, CI 1.06–2.55), pulmonary disease (OR 1.87, CI 1.16–3.03), baseline Statin treatment (0.54, CI 0.33–0.87), oxygen saturation (unit = 1%, OR 0.94, CI 0.92–0.96), leukocytes (unit 1000/μL, OR 1.04, CI 1.01–1.07), lymphocytes (unit 100/μL, OR 0.96, CI 0.94–0.99), platelets (unit 100,000/μL, OR 0.70, CI 0.62–0.80), procalcitonin (unit ng/mL, OR 1.11, CI 1.05–1.18), kidney failure (OR 1.68, CI 1.05–2.70), congestive heart failure (OR 2.62, CI 1.11–6.21), severe liver failure (OR 4.93, CI 1.94–12.52), and a quick SOFA score of 3 (OR 1.78, CI 1.14–2.78). The nomogram graphically displays the importance of these 14 factors for mortality. (4) Conclusions: There are risk factors that are specific to the subpopulation of critically ill COVID-19 patients.

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Author:David Meintrup, Stefan BorgmannGND, Karlheinz Seidl, Melanie StecherORCiDGND, Carolin Ellen Marianne JakobORCiDGND, Lisa PilgramORCiDGND, Christoph Daniel SpinnerORCiDGND, Siegbert RiegORCiDGND, Nora IsbernerORCiDGND, Martin HowerORCiDGND, Maria J. G. T. VehreschildORCiDGND, Siri GöpelORCiDGND, Frank HansesORCiDGND, Martina Nowak-Machen
Parent Title (English):Journal of Clinical Medicine
Place of publication:Basel
Document Type:Article
Date of Publication (online):2021/08/27
Date of first Publication:2021/08/27
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:LEOSS Study Group
Release Date:2022/04/11
Tag:COVID-19; SARS-CoV-2; comorbidities; critically ill patients; lasso regression; nomogram; risk factors
Issue:17, art. 3855
Page Number:14
First Page:1
Last Page:14
The LEOSS registry was supported by the German Centre for Infection Research (DZIF) and the Willy Robert Pitzer Foundation.
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCreative Commons - Namensnennung 4.0