{"title":"结合时间-事件模型的新型nomogram预测心脏手术患者术后谵妄。","authors":"Zhengqin Liu, Lihua Zhu, Xiaohe Li, Qian Zhai","doi":"10.1016/j.genhosppsych.2025.08.005","DOIUrl":null,"url":null,"abstract":"<p><p>Objective To develop and validate a predictive model of postoperative delirium (POD) for patients undergoing cardiac surgery. Methods 935 patients, admitted to the cardiovascular surgery intensive care unit between 2023.3.1 and 2023.12.31, were enrolled into this study. They were divided into the training set and the internal validation set at a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was used to detect potential risk factors for POD and multivariable cox regression analysis was then conducted to construct the final nomogram model in the training set. Finally, we assessed the nomogram performance in terms of discrimination and calibration, including area under the curve (AUC), calibration curve and decision curve analysis (DCA) both in the training set and the internal validation set. Results 108 (16.34 %)patients in the training group and 47 (16.51 %) patients in the validation group developed POD respectively. Four independent risk factors were integrated into the nomogram including postoperative AKI, hypoalbuminemia, PSQI and CPOT score. The nomogram showed a good discrimination efficacy with an AUC of 0.882 (95 % CI: 0.843-0.922) and 0.921 (95 % CI: 0.871-0.972) in the training and internal validation set respectively. Both calibration curve and DCA demonstrated that this nomogram was clinically useful. Conclusions The nomogram based on four clinically available factors has good ability to identify POD risk in patients undergoing cardiovascular surgery. This tool may help physicians to prevent the appearance of delirium in advance using various methods and improve prognosis. ABBREVIATIONS.</p>","PeriodicalId":12517,"journal":{"name":"General hospital psychiatry","volume":"96 ","pages":"253-263"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel nomogram incorporating time-to-event modeling for predicting postoperative delirium in cardiac surgery patients.\",\"authors\":\"Zhengqin Liu, Lihua Zhu, Xiaohe Li, Qian Zhai\",\"doi\":\"10.1016/j.genhosppsych.2025.08.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Objective To develop and validate a predictive model of postoperative delirium (POD) for patients undergoing cardiac surgery. Methods 935 patients, admitted to the cardiovascular surgery intensive care unit between 2023.3.1 and 2023.12.31, were enrolled into this study. They were divided into the training set and the internal validation set at a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was used to detect potential risk factors for POD and multivariable cox regression analysis was then conducted to construct the final nomogram model in the training set. Finally, we assessed the nomogram performance in terms of discrimination and calibration, including area under the curve (AUC), calibration curve and decision curve analysis (DCA) both in the training set and the internal validation set. Results 108 (16.34 %)patients in the training group and 47 (16.51 %) patients in the validation group developed POD respectively. Four independent risk factors were integrated into the nomogram including postoperative AKI, hypoalbuminemia, PSQI and CPOT score. The nomogram showed a good discrimination efficacy with an AUC of 0.882 (95 % CI: 0.843-0.922) and 0.921 (95 % CI: 0.871-0.972) in the training and internal validation set respectively. Both calibration curve and DCA demonstrated that this nomogram was clinically useful. Conclusions The nomogram based on four clinically available factors has good ability to identify POD risk in patients undergoing cardiovascular surgery. This tool may help physicians to prevent the appearance of delirium in advance using various methods and improve prognosis. ABBREVIATIONS.</p>\",\"PeriodicalId\":12517,\"journal\":{\"name\":\"General hospital psychiatry\",\"volume\":\"96 \",\"pages\":\"253-263\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"General hospital psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.genhosppsych.2025.08.005\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"General hospital psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.genhosppsych.2025.08.005","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
A novel nomogram incorporating time-to-event modeling for predicting postoperative delirium in cardiac surgery patients.
Objective To develop and validate a predictive model of postoperative delirium (POD) for patients undergoing cardiac surgery. Methods 935 patients, admitted to the cardiovascular surgery intensive care unit between 2023.3.1 and 2023.12.31, were enrolled into this study. They were divided into the training set and the internal validation set at a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was used to detect potential risk factors for POD and multivariable cox regression analysis was then conducted to construct the final nomogram model in the training set. Finally, we assessed the nomogram performance in terms of discrimination and calibration, including area under the curve (AUC), calibration curve and decision curve analysis (DCA) both in the training set and the internal validation set. Results 108 (16.34 %)patients in the training group and 47 (16.51 %) patients in the validation group developed POD respectively. Four independent risk factors were integrated into the nomogram including postoperative AKI, hypoalbuminemia, PSQI and CPOT score. The nomogram showed a good discrimination efficacy with an AUC of 0.882 (95 % CI: 0.843-0.922) and 0.921 (95 % CI: 0.871-0.972) in the training and internal validation set respectively. Both calibration curve and DCA demonstrated that this nomogram was clinically useful. Conclusions The nomogram based on four clinically available factors has good ability to identify POD risk in patients undergoing cardiovascular surgery. This tool may help physicians to prevent the appearance of delirium in advance using various methods and improve prognosis. ABBREVIATIONS.
期刊介绍:
General Hospital Psychiatry explores the many linkages among psychiatry, medicine, and primary care. In emphasizing a biopsychosocial approach to illness and health, the journal provides a forum for professionals with clinical, academic, and research interests in psychiatry''s role in the mainstream of medicine.