ArticlePediatric nephrology (Berlin, Germany)2024
External validation of a clinical mathematical model estimating post-operative urine output following cardiac surgery in children.
Article in Pediatric nephrology (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThis study aims to externally validate a clinical mathematical model designed to predict urine output (UOP) during the initial post-operative period in pediatric patients who underwent cardiac surgery with cardiopulmonary bypass (CPB).
methodsChildren aged 0-18 years admitted to the pediatric cardiac intensive care unit at Cleveland Clinic Children's from April 2018 to April 2023, who underwent cardiac surgery with CPB were included. Patients were excluded if they had pre-operative kidney failure requiring kidney replacement therapy (KRT), re-operation or extracorporeal membrane oxygenation or KRT requirement within the first 32 post-operative hours or had indwelling urinary catheter for fewer than the initial 32 post-operative hours, or had vasoactive-inotrope score of 0, or those with missing data in the electronic health records.
resultsA total of 213 encounters were analyzed; median age (days): 172 (IQR 25-75th%: 51-1655), weight (kg): 6.1 (IQR 25-75th%: 3.8-15.5), median UOP ml/kg/hr in the first 32 post-operative hours: 2.59 (IQR 25-75th%: 1.93-3.26) and post-operative 30-day mortality: 1, (0.4%). The mathematical model achieved the following metrics in the entire dataset: mean absolute error (95th% Confidence Interval (CI)): 0.70 (0.67-0.73), median absolute error (95th% CI): 0.54 (0.52-0.56), mean squared error (95th% CI): 0.97 (0.89-1.05), root mean squared error (95th% CI): 0.99 (0.95-1.03) and R2 Score (95th% CI): 0.29 (0.24-0.34).
conclusionsThis study provides encouraging external validation results of a mathematical model predicting post-operative UOP in pediatric cardiac surgery patients. Further multicenter studies must explore its broader applicability.
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