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Journal of critical care · Feb 2021
A simplified critical illness severity scoring system (CISSS): Development and internal validation.
- Spyridon Fortis, Amy M J O'Shea, Brice F Beck Mae, Rajeshwari Nair, Michihiko Goto, Gregory A Schmidt, Peter J Kaboli, Eli N Perencevich, Heather Schacht Reisinger, and Mary Vaughan Sarrazin.
- Center for Access & Delivery Research & Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, IA, USA; Department of Internal Medicine, Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, IA, USA. Electronic address: spyridon-fortis@uiowa.edu.
- J Crit Care. 2021 Feb 1; 61: 21-28.
PurposeTo create a simplified critical illness severity scoring system with high prediction accuracy for 30-day mortality using only commonly available variables.Materials And MethodsThis is a retrospective cohort study of ICU admissions 2010-2015 in 306 ICUs in 117 Veterans Affairs (VA) hospitals. We randomly divided our cohort into a training dataset (75%) and a validation dataset (25%). We created a critical illness severity scoring system (CISSS) using age, comorbidities, heart rate, mean arterial blood pressure, temperature, respiratory rate, hematocrit, white blood cell count, creatinine, sodium, glucose, albumin, bilirubin, bicarbonate, use of invasive mechanical ventilation, and whether the admission was surgical or not. We validated the performance of CISSS to predict 30-day mortality internally.ResultsAfter excluding 31,743 re-admissions, we divided our sample (n = 534,001) into a training (n = 400,613) and a validation dataset (n = 133,388). In the training dataset, the area under the curve (AUC) of CISSS was 0.847(95%CI = 0.845-0.850). In the validation dataset, the AUC was 0.848 (95%CI = 0.844-0.852), the standardized mortality ratio (SMR) was 1.00 (95%CI = 0.98-1.02), and Brier's score for 30-day mortality was 0.058 (95%CI = 0.057-0.059). CISSS calibration was acceptable.ConclusionsCISSS has very good performance and requires only commonly used variables that can be easily extracted by electronic health records.Published by Elsevier Inc.
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