Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality. Issue 1 (15th October 2021)
- Record Type:
- Journal Article
- Title:
- Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality. Issue 1 (15th October 2021)
- Main Title:
- Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality
- Authors:
- 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
Cornet, Alexander D.
Reidinga, Auke C.
de Ruijter, Wouter
Bosman, Rob J.
Frenzel, Tim
Urlings‐Strop, Louise C.
de Jong, Paul
Smit, Ellen G.M.
Cremer, Olaf L.
Mehagnoul‐Schipper, D. Jannet
Faber, Harald J.
Lens, Judith
Brunnekreef, Gert B.
Festen‐Spanjer, Barbara
Dormans, Tom
de Bruin, Daan P.
Lalisang, Robbert C. A.
Vonk, Sebastiaan J. J.
Haan, Martin E.
Fleuren, Lucas M.
Thoral, Patrick J.
Elbers, Paul W. G.
Bellomo, Rinaldo
… (more) - Abstract:
- Abstract: Background: 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. Methods: 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. Results: 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). Conclusions:Abstract: Background: 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. Methods: 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. Results: 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). Conclusions: 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. … (more)
- Is Part Of:
- Acta anaesthesiologica scandinavica. Volume 66:Issue 1(2022)
- Journal:
- Acta anaesthesiologica scandinavica
- Issue:
- Volume 66:Issue 1(2022)
- Issue Display:
- Volume 66, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 66
- Issue:
- 1
- Issue Sort Value:
- 2022-0066-0001-0000
- Page Start:
- 65
- Page End:
- 75
- Publication Date:
- 2021-10-15
- Subjects:
- corona virus -- COVID‐19 -- intensive care -- mechanical ventilation -- respiratory failure
Anesthesiology -- Periodicals
Critical care medicine -- Periodicals
617.9605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1399-6576 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/aas.13991 ↗
- Languages:
- English
- ISSNs:
- 0001-5172
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0593.650000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20301.xml