Abstract
Acute kidney injury (AKI) is a common complication after cardiac surgery and associated with adverse outcomes. The purpose of this study is to construct a nomogram to predict the probability of postoperative AKI in pediatric patients undergoing cardiac surgery. We conducted a single-center retrospective cohort study of 1137 children having cardiac surgery under cardiopulmonary bypass. We randomly divided the included patients into development and validation cohorts at a ratio of 7:3. The least absolute shrinkage and selection operator regression model was used for feature selection. We constructed a multivariable logistic regression model to select predictors and develop a nomogram to predict AKI risk. Discrimination, calibration and clinical benefit of the final prediction model were evaluated in the development and validation cohorts. A simple nomogram was developed to predict risk of postoperative AKI using six predictors including age at operation, cyanosis, CPB duration longer than 120 min, cross-clamp time, baseline albumin and baseline creatinine levels. The area under the receiver operator characteristic curve of the nomogram was 0.739 (95% CI 0.693–0.786) and 0.755 (95% CI 0.694–0.816) for the development and validation cohort, respectively. The calibration curve showed a good correlation between predicted and observed risk of postoperative AKI. Decision curve analysis presented great clinical benefit of the nomogram. This novel nomogram for predicting AKI after pediatric cardiac surgery showed good discrimination, calibration and clinical practicability.
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This study was supported by Chinese Academy of Medical Sciences Central Public Welfare Scientific Research Institute Basal Research Expenses-Clinical and Translational Medicine Research Fund (2021-I2M-C&T-B-036).
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SS, CX, and JW conceptualized the study; SS, CX, DB, and YL were responsible for data curation; SS, CX, DB, YL, and JW were responsible for investigation; SS, CX, DB, and YL were responsible for formal analysis; SS, CX, and JW were responsible for methodology; CX and JW were responsible for project administration; CX and JW were responsible for resources; SS, CX, DB, and YL were responsible for software; CX, DB, and YL were responsible for validation; JW was responsible for funding acquisition; CX and JW provided supervision; SS, CX, and JW wrote the original draft; and JW reviewed and edited the manuscript. All authors read and approved the final manuscript.
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Shi, S., Xiong, C., Bie, D. et al. Development and Validation of a Nomogram for Predicting Acute Kidney Injury in Pediatric Patients Undergoing Cardiac Surgery. Pediatr Cardiol (2024). https://doi.org/10.1007/s00246-023-03392-7
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DOI: https://doi.org/10.1007/s00246-023-03392-7