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. 2022 Jan;66(1):65-75.
doi: 10.1111/aas.13991. Epub 2021 Oct 15.

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

Affiliations

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

Drago Plečko et al. Acta Anaesthesiol Scand. 2022 Jan.

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.

Keywords: COVID-19; corona virus; intensive care; mechanical ventilation; respiratory failure.

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Conflict of interest statement

The authors report no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Evaluation of RECOILS score on development and validation cohorts. ROC and PR curves of the Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in the development and validation cohorts are presented, together with various possible baseline methods. The AUROC and AUPRC values are shown in brackets next to each score, respectively
FIGURE 2
FIGURE 2
Calibration of RECOILS score. Increasing values of the RECOILS score are associated with increased mortality, showing good score calibration. The average mortality rate for different values of the RECOILS score, with 95% confidence intervals are shown as bars. The red line represents the mortality risk estimated based on the formula provided in the main text

References

    1. WHO . WHO COVID‐19 situation reports. 2020; https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/situatio...
    1. Johns Hopkins University . Johns Hopkins Coronavirus Resource Center. 2020; https://coronavirus.jhu.edu/map.html
    1. Baud D, Qi X, Nielsen‐Saines K, Musso D, Pomar L, Favre G. Real estimates of mortality following COVID‐19 infection. Lancet Infect Dis. 2020;20:773. - PMC - PubMed
    1. Garg S, Kim L, Whitaker M, et al. Hospitalization rates and characteristics of patients hospitalized with laboratory‐confirmed coronavirus disease 2019 ‐ COVID‐NET, 14 States, March 1–30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69:458‐464. - PMC - PubMed
    1. Søreide K, Hallet J, Matthews JB, et al. Immediate and long‐term impact of the COVID‐19 pandemic on delivery of surgical services. Br J Surg. 2020;107:1250‐1261. - PMC - PubMed

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