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 mo...
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doaj-30483eb250734d68b4950206ed90fd022021-09-09T13:49:27ZengMDPI AGJournal of Clinical Medicine2077-03832021-08-01103855385510.3390/jcm10173855Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter StudyDavid Meintrup0Stefan Borgmann1Karlheinz Seidl2Melanie Stecher3Carolin E. M. Jakob4Lisa Pilgram5Christoph D. Spinner6Siegbert Rieg7Nora Isberner8Martin Hower9Maria Vehreschild10Siri Göpel11Frank Hanses12Martina Nowak-Machen13Faculty of Engineering and Management, University of Applied Sciences Ingolstadt, 85049 Ingolstadt, GermanyDepartment of Infectious Diseases and Infection Control, Ingolstadt Hospital, 85049 Ingolstadt, GermanyDepartment of Cardiology, Ingolstadt Hospital, 85049 Ingolstadt, GermanyDepartment I for Internal Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, GermanyDepartment I for Internal Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, GermanyDepartment of Internal Medicine, Hematology and Oncology, Goethe University Frankfurt, 60323 Frankfurt, GermanyDepartment of Internal Medicine II, University Hospital Rechts Der Isar, School of Medicine, Technical University of Munich, 81675 Munich, GermanyDepartment of Medicine II, University of Freiburg, 79106 Freiburg, GermanyDivision of Infectious Diseases, Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, GermanyDepartment of Pneumology, Infectious Diseases, Internal Medicine and Intensive Care, Klinikum Dortmund gGmbH, 44137 Dortmund, GermanyDepartment of Infectious Diseases, University Hospital Frankfurt, 60590 Frankfurt, GermanyDepartment of Internal Medicine I, University Hospital Tübingen, 72076 Tübingen, GermanyEmergency Department and Department for Infection Control and Infectious Diseases, University Hospital Regensburg, 93053 Regensburg, GermanyDepartment of Anaesthesia and Intensive Care Medicine, Ingolstadt Hospital, 85049 Ingolstadt, Germany(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/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, OR 1.04, CI 1.01–1.07), lymphocytes (unit 100/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, OR 0.96, CI 0.94–0.99), platelets (unit 100,000/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, 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.https://www.mdpi.com/2077-0383/10/17/3855COVID-19SARS-CoV-2risk factorscritically ill patientscomorbiditieslasso regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Meintrup Stefan Borgmann Karlheinz Seidl Melanie Stecher Carolin E. M. Jakob Lisa Pilgram Christoph D. Spinner Siegbert Rieg Nora Isberner Martin Hower Maria Vehreschild Siri Göpel Frank Hanses Martina Nowak-Machen |
spellingShingle |
David Meintrup Stefan Borgmann Karlheinz Seidl Melanie Stecher Carolin E. M. Jakob Lisa Pilgram Christoph D. Spinner Siegbert Rieg Nora Isberner Martin Hower Maria Vehreschild Siri Göpel Frank Hanses Martina Nowak-Machen Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study Journal of Clinical Medicine COVID-19 SARS-CoV-2 risk factors critically ill patients comorbidities lasso regression |
author_facet |
David Meintrup Stefan Borgmann Karlheinz Seidl Melanie Stecher Carolin E. M. Jakob Lisa Pilgram Christoph D. Spinner Siegbert Rieg Nora Isberner Martin Hower Maria Vehreschild Siri Göpel Frank Hanses Martina Nowak-Machen |
author_sort |
David Meintrup |
title |
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study |
title_short |
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study |
title_full |
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study |
title_fullStr |
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study |
title_full_unstemmed |
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study |
title_sort |
specific risk factors for fatal outcome in critically ill covid-19 patients: results from a european multicenter study |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2021-08-01 |
description |
(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/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, OR 1.04, CI 1.01–1.07), lymphocytes (unit 100/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, OR 0.96, CI 0.94–0.99), platelets (unit 100,000/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>L, 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. |
topic |
COVID-19 SARS-CoV-2 risk factors critically ill patients comorbidities lasso regression |
url |
https://www.mdpi.com/2077-0383/10/17/3855 |
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