Your browser doesn't support javascript.
loading
External validation of a clinical mathematical model estimating post-operative urine output following cardiac surgery in children.
Baloglu, Orkun; Marino, Bradley S; Latifi, Samir Q; Morca, Ayse; Munther, Daniel S; Ryan, Shawn D.
Afiliação
  • Baloglu O; Department of Heart, Vascular, and Thoracic, Division of Cardiology and Cardiovascular Medicine, Department of Integrated Hospital Care, Division of Critical Care, Children's Institute, Cleveland Clinic Children's, Cleveland Clinic Children's Center for Artificial Intelligence (C4AI), Cleveland, OH,
  • Marino BS; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Ave. M14, Cleveland, OH, 44195, USA. baloglo@ccf.org.
  • Latifi SQ; Department of Heart, Vascular, and Thoracic, Division of Cardiology and Cardiovascular Medicine, Cleveland Clinic Children's, Cleveland, OH, USA.
  • Morca A; Department of Heart, Vascular, and Thoracic, Division of Cardiology and Cardiovascular Medicine, Department of Integrated Hospital Care, Division of Critical Care, Children's Institute, Cleveland Clinic Children's, Cleveland, OH, USA.
  • Munther DS; Department of Heart, Vascular, and Thoracic, Children's Institute, Cleveland Clinic Children's, Cleveland Clinic Children's Center for Artificial Intelligence (C4AI), Cleveland, OH, USA.
  • Ryan SD; Department of Mathematics and Statistics, Cleveland State University, Cleveland, OH, USA.
Pediatr Nephrol ; 39(11): 3347-3352, 2024 Nov.
Article em En | MEDLINE | ID: mdl-38995354
ABSTRACT

BACKGROUND:

This 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).

METHODS:

Children 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.

RESULTS:

A 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).

CONCLUSIONS:

This 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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Procedimentos Cirúrgicos Cardíacos / Modelos Teóricos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Procedimentos Cirúrgicos Cardíacos / Modelos Teóricos Idioma: En Ano de publicação: 2024 Tipo de documento: Article