Shahzad Alam , Akunuri Shalini , Rajesh G. Hegde , Rufaida Mazahir , Akanksha Jain
{"title":"儿童心脏外科风险分层模型的比较研究","authors":"Shahzad Alam , Akunuri Shalini , Rajesh G. Hegde , Rufaida Mazahir , Akanksha Jain","doi":"10.1016/j.ejccm.2018.03.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>The objective of the study was to compare Risk Assessment for Congenital Heart Surgery (RACHS-1), Aristotle Basic Complexity (ABC) and Society of Thoracic Surgeons – European Association for Cardiothoracic Surgery (STS-EACTS) complexity scoring models for predicting outcome after surgery for congenital heart disease.</p></div><div><h3>Methods</h3><p>This retrospective study included children <18 years. Procedures were categorized based on RACHS-1, ABC and STS-EACTS system. Outcome indicators were prolonged length of ICU stay (upper 25th percentile) and hospital mortality. The stratification models were tested for calibration using Hosmer‑Lemeshow modification of chi-square test and for discrimination using Receiver Operating Characteristic (ROC) curve. Area under the curve (AUC) of individual ROC curves was compared using z-statistics.</p></div><div><h3>Results</h3><p>The study included 920 patients. All 3 models showed good fit for both prolonged ICU stay and mortality on calibration. STS-EACTS outclassed RACHS-1 and ABC models with AUC of 0.759 for prolonged PLOS and 0.870 for hospital mortality. AUC of ROC curve for STS-EACTS was significantly higher than RACHS-1 model for both prolonged PLOS (p – 0.046) and hospital mortality (p – 0.015). No significant difference was observed between the AUC of ROC curves of other models.</p></div><div><h3>Conclusion</h3><p>Risk stratification for pediatric heart surgery is a useful tool to predict the outcome. STS-EACTS risk stratification model has the best discriminative power.</p></div>","PeriodicalId":31233,"journal":{"name":"Egyptian Journal of Critical Care Medicine","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ejccm.2018.03.001","citationCount":"8","resultStr":"{\"title\":\"A comparative study of the risk stratification models for pediatric cardiac surgery\",\"authors\":\"Shahzad Alam , Akunuri Shalini , Rajesh G. Hegde , Rufaida Mazahir , Akanksha Jain\",\"doi\":\"10.1016/j.ejccm.2018.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>The objective of the study was to compare Risk Assessment for Congenital Heart Surgery (RACHS-1), Aristotle Basic Complexity (ABC) and Society of Thoracic Surgeons – European Association for Cardiothoracic Surgery (STS-EACTS) complexity scoring models for predicting outcome after surgery for congenital heart disease.</p></div><div><h3>Methods</h3><p>This retrospective study included children <18 years. Procedures were categorized based on RACHS-1, ABC and STS-EACTS system. Outcome indicators were prolonged length of ICU stay (upper 25th percentile) and hospital mortality. The stratification models were tested for calibration using Hosmer‑Lemeshow modification of chi-square test and for discrimination using Receiver Operating Characteristic (ROC) curve. Area under the curve (AUC) of individual ROC curves was compared using z-statistics.</p></div><div><h3>Results</h3><p>The study included 920 patients. All 3 models showed good fit for both prolonged ICU stay and mortality on calibration. STS-EACTS outclassed RACHS-1 and ABC models with AUC of 0.759 for prolonged PLOS and 0.870 for hospital mortality. AUC of ROC curve for STS-EACTS was significantly higher than RACHS-1 model for both prolonged PLOS (p – 0.046) and hospital mortality (p – 0.015). No significant difference was observed between the AUC of ROC curves of other models.</p></div><div><h3>Conclusion</h3><p>Risk stratification for pediatric heart surgery is a useful tool to predict the outcome. STS-EACTS risk stratification model has the best discriminative power.</p></div>\",\"PeriodicalId\":31233,\"journal\":{\"name\":\"Egyptian Journal of Critical Care Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.ejccm.2018.03.001\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Egyptian Journal of Critical Care Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2090730318300021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Egyptian Journal of Critical Care Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090730318300021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
A comparative study of the risk stratification models for pediatric cardiac surgery
Objective
The objective of the study was to compare Risk Assessment for Congenital Heart Surgery (RACHS-1), Aristotle Basic Complexity (ABC) and Society of Thoracic Surgeons – European Association for Cardiothoracic Surgery (STS-EACTS) complexity scoring models for predicting outcome after surgery for congenital heart disease.
Methods
This retrospective study included children <18 years. Procedures were categorized based on RACHS-1, ABC and STS-EACTS system. Outcome indicators were prolonged length of ICU stay (upper 25th percentile) and hospital mortality. The stratification models were tested for calibration using Hosmer‑Lemeshow modification of chi-square test and for discrimination using Receiver Operating Characteristic (ROC) curve. Area under the curve (AUC) of individual ROC curves was compared using z-statistics.
Results
The study included 920 patients. All 3 models showed good fit for both prolonged ICU stay and mortality on calibration. STS-EACTS outclassed RACHS-1 and ABC models with AUC of 0.759 for prolonged PLOS and 0.870 for hospital mortality. AUC of ROC curve for STS-EACTS was significantly higher than RACHS-1 model for both prolonged PLOS (p – 0.046) and hospital mortality (p – 0.015). No significant difference was observed between the AUC of ROC curves of other models.
Conclusion
Risk stratification for pediatric heart surgery is a useful tool to predict the outcome. STS-EACTS risk stratification model has the best discriminative power.
期刊介绍:
The Egyptian Journal of Critical Care Medicine is the official Journal of the Egyptian College of Critical Care Physicians, the most authoritative organization of Egyptian physicians involved in the multi-professional field of critical care medicine. The journal is intended to provide a peer-reviewed source for multidisciplinary coverage of general acute and intensive care medicine and its various subcategories including cardiac, pulmonary, neuro, renal as well as post-operative care. The journal is proud to have an international multi-professional editorial board in the broad field of critical care that will assist in publishing promising research and breakthrough reports that lead to better patients care in life threatening conditions, and bring the reader a quick access to the latest diagnostic and therapeutic approaches in monitoring and management of critically ill patients.