Affiliation:
1. Division of Pediatric Critical Care, Department of Pediatrics Washington University in St. Louis St. Louis Missouri USA
2. Department of Computer Science & Engineering Washington University in St. Louis St. Louis Missouri USA
3. National Cardiovascular Center Harapan Kita Jakarta Indonesia
4. INOVA Fairfax Hospital Falls Church Virginia USA
5. Institute for Informatics, School of Medicine Washington University in St. Louis Missouri St. Louis USA
Abstract
AbstractBackgroundVeno‐venous extracorporeal membrane oxygenation (V‐V ECMO) is a lifesaving support modality for severe respiratory failure, but its resource‐intensive nature led to significant controversy surrounding its use during the COVID‐19 pandemic. We report the performance of several ECMO mortality prediction and severity of illness scores at discriminating survival in a large COVID‐19 V‐V ECMO cohort.MethodsWe validated ECMOnet, PRESET (PREdiction of Survival on ECMO Therapy‐Score), Roch, SOFA (Sequential Organ Failure Assessment), APACHE II (acute physiology and chronic health evaluation), 4C (Coronavirus Clinical Characterisation Consortium), and CURB‐65 (Confusion, Urea nitrogen, Respiratory Rate, Blood Pressure, age >65 years) scores on the ISARIC (International Severe Acute Respiratory and emerging Infection Consortium) database. We report discrimination via Area Under the Receiver Operative Curve (AUROC) and Area under the Precision Recall Curve (AURPC) and calibration via Brier score.ResultsWe included 1147 patients and scores were calculated on patients with sufficient variables. ECMO mortality scores had AUROC (0.58–0.62), AUPRC (0.62–0.74), and Brier score (0.286–0.303). Roch score had the highest accuracy (AUROC 0.62), precision (AUPRC 0.74) yet worst calibration (Brier score of 0.3) despite being calculated on the fewest patients (144). Severity of illness scores had AUROC (0.52–0.57), AURPC (0.59–0.64), and Brier Score (0.265–0.471). APACHE II had the highest accuracy (AUROC 0.58), precision (AUPRC 0.64), and best calibration (Brier score 0.26).ConclusionWithin a large international multicenter COVID‐19 cohort, the evaluated ECMO mortality prediction and severity of illness scores demonstrated inconsistent discrimination and calibration highlighting the need for better clinically applicable decision support tools.
Funder
Bill and Melinda Gates Foundation
Kementerian Kesihatan Malaysia
Subject
Biomedical Engineering,General Medicine,Biomaterials,Medicine (miscellaneous),Bioengineering
Cited by
4 articles.
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