David Meintrup, Stefan Borgmann, Karlheinz Seidl, Melanie Stecher, Carolin Ellen Marianne Jakob, Lisa Pilgram, Christoph Daniel Spinner, Siegbert Rieg, Nora Isberner, Martin Hower, Maria J. G. T. Vehreschild, Siri Göpel, Frank Hanses, Martina Nowak-Machen
- (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.
MetadatenVerfasserangaben: | 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 |
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URN: | urn:nbn:de:hebis:30:3-621801 |
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DOI: | https://doi.org/10.3390/jcm10173855 |
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ISSN: | 2077-0383 |
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Titel des übergeordneten Werkes (Englisch): | Journal of Clinical Medicine |
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Verlag: | MDPI |
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Verlagsort: | Basel |
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Dokumentart: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Datum der Veröffentlichung (online): | 27.08.2021 |
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Datum der Erstveröffentlichung: | 27.08.2021 |
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Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Beteiligte Körperschaft: | LEOSS Study Group |
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Datum der Freischaltung: | 11.04.2022 |
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Freies Schlagwort / Tag: | COVID-19; SARS-CoV-2; comorbidities; critically ill patients; lasso regression; nomogram; risk factors |
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Jahrgang: | 10 |
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Ausgabe / Heft: | 17, art. 3855 |
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Seitenzahl: | 14 |
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Erste Seite: | 1 |
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Letzte Seite: | 14 |
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Bemerkung: | The LEOSS registry was supported by the German Centre for Infection Research (DZIF) and the Willy Robert Pitzer Foundation. |
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HeBIS-PPN: | 494884223 |
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Institute: | Medizin |
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DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Lizenz (Deutsch): | Creative Commons - Namensnennung 4.0 |
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