Mortality prediction in pediatric postcardiotomy veno-arterial extracorporeal membrane oxygenation: A comparison of scoring systems

Yu Jin; Peng Gao; Peiyao Zhang; Liting Bai; Yixuan Li; Wenting Wang; Zhengyi Feng; Xu Wang; Jinping Liu

doi:10.3389/fmed.2022.967872

Mortality prediction in pediatric postcardiotomy veno-arterial extracorporeal membrane oxygenation: A comparison of scoring systems

Front Med (Lausanne). 2022 Aug 4:9:967872. doi: 10.3389/fmed.2022.967872. eCollection 2022.

Authors

Yu Jin¹, Peng Gao¹, Peiyao Zhang¹, Liting Bai¹, Yixuan Li¹, Wenting Wang¹, Zhengyi Feng¹, Xu Wang², Jinping Liu¹

Affiliations

¹ Department of Cardiopulmonary Bypass, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
² Department of Pediatric Intensive Care Unit, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Abstract

Background: Pediatric postcardiotomy veno-arterial extracorporeal membrane oxygenation (VA-ECMO) patients have high mortality and morbidity. There are currently three scoring systems available to predict mortality: the Pediatric Extracorporeal Membrane Oxygenation Prediction (PEP) model, Precannulation Pediatric Survival After VA-ECMO (Pedi-SAVE) score, and Postcannulation Pedi-SAVE score. These methods provide risk stratification scores for pediatric patients requiring ECMO for cardiac support. However, comparative validation of these scoring systems remains scarce. We aim to assess the ability of these models to predict outcomes in a cohort of pediatric patients undergoing VA-ECMO after cardiac surgery, and identify predictors of in-hospital mortality.

Methods: A retrospective analysis of 101 children admitted to Fuwai Hospital who received VA-ECMO from January 1, 2010 to December 31, 2020 was performed. Patients were divided into two groups, survivors (n = 49) and non-survivors (n = 52) according to in-hospital mortality. PEP model and Pedi-SAVE scores were calculated. The primary outcomes were the risk factors of in-hospital mortality, and the ability of the PEP model, Precannulation Pedi-SAVE and Postcannulation Pedi-SAVE scores to predict in-hospital mortality.

Results: Postcannulation Pedi-SAVE score accessing the entire ECMO process had the greatest area under receiver operator curve (AUROC), 0.816 [95% confidence interval (CI): 0.733-0.899]. Pre-ECMO PEP model could predict in-hospital mortality [AUROC = 0.691 (95% CI: 0.565-0.817)], and Precannulation Pedi-SAVE score had the poorest prediction [AUROC = 0.582(95% CI: 0.471-0.694)]. Lactate value at ECMO implantation [OR = 1.199 (1.064-1.351), P = 0.003] and infectious complications [OR = 5.169 (1.652-16.172), P = 0.005] were independent risk factors for in-hospital mortality.

Conclusion: Pediatric cardiac ECMO scoring systems, including multiple risk factors before and during ECMO, were found to be useful in this cohort. Both the pre-ECMO PEP model and the Postcannulation Pedi-SAVE score were found to have high predictive value for in-hospital mortality in pediatric postcardiotomy VA-ECMO.

Keywords: in-hospital mortality; pediatric; postcardiotomy; risk prediction; veno-arterial extracorporeal membrane oxygenation.