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Plečko, Drago; Bennett, Nicolas; Mårtensson, Johan; Dam, Tariq A.; Entjes, Robert; Rettig, Thijs C. D.; Dongelmans, Dave A.; Boelens, Age D.; Rigter, Sander; Hendriks, Stefaan H. A.; de Jong, Remko; Kamps, Marlijn J. A.; Peters, Marco; Karakus, Attila; Gommers, Diederik; Ramnarain, Dharmanand; Wils, Evert‐Jan; Achterberg, Sefanja; Nowitzky, Ralph; van den Tempel, Walter; de Jager, Cornelis P. C.; Nooteboom, Fleur G. C. A.; Oostdijk, Evelien; Koetsier, Peter; [...]

Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality

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  • Medientyp: E-Artikel
  • Titel: Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality
  • Beteiligte: Plečko, Drago; Bennett, Nicolas; Mårtensson, Johan; Dam, Tariq A.; Entjes, Robert; Rettig, Thijs C. D.; Dongelmans, Dave A.; Boelens, Age D.; Rigter, Sander; Hendriks, Stefaan H. A.; de Jong, Remko; Kamps, Marlijn J. A.; Peters, Marco; Karakus, Attila; Gommers, Diederik; Ramnarain, Dharmanand; Wils, Evert‐Jan; Achterberg, Sefanja; Nowitzky, Ralph; van den Tempel, Walter; de Jager, Cornelis P. C.; Nooteboom, Fleur G. C. A.; Oostdijk, Evelien; Koetsier, Peter; [...]
  • Erschienen: Wiley, 2022
  • Erschienen in: Acta Anaesthesiologica Scandinavica, 66 (2022) 1, Seite 65-75
  • Sprache: Englisch
  • DOI: 10.1111/aas.13991
  • ISSN: 0001-5172; 1399-6576
  • Entstehung:
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The prediction of in‐hospital mortality for ICU patients with COVID‐19 is fundamental to treatment and resource allocation. The main purpose was to develop an easily implemented score for such prediction.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>This was an observational, multicenter, development, and validation study on a national critical care dataset of COVID‐19 patients. A systematic literature review was performed to determine variables possibly important for COVID‐19 mortality prediction. Using a logistic multivariable model with a LASSO penalty, we developed the Rapid Evaluation of Coronavirus Illness Severity (RECOILS) score and compared its performance against published scores.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Our development (validation) cohort consisted of 1480 (937) adult patients from 14 (11) Dutch ICUs admitted between March 2020 and April 2021. Median age was 65 (65) years, 31% (26%) died in hospital, 74% (72%) were males, average length of ICU stay was 7.83 (10.25) days and average length of hospital stay was 15.90 (19.92) days. Age, platelets, PaO2/FiO2 ratio, pH, blood urea nitrogen, temperature, PaCO2, Glasgow Coma Scale (GCS) score measured within +/−24 h of ICU admission were used to develop the score. The AUROC of RECOILS score was 0.75 (CI 0.71–0.78) which was higher than that of any previously reported predictive scores (0.68 [CI 0.64–0.71], 0.61 [CI 0.58–0.66], 0.67 [CI 0.63–0.70], 0.70 [CI 0.67–0.74] for ISARIC 4C Mortality Score, SOFA, SAPS‐III, and age, respectively).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Using a large dataset from multiple Dutch ICUs, we developed a predictive score for mortality of COVID‐19 patients admitted to ICU, which outperformed other predictive scores reported so far.</jats:p></jats:sec>