{"title":"改良虚弱指数联合预后营养指数预测老年髋部骨折术后并发症。","authors":"Yanling Zhou, Long Wang, Angyang Cao, Wenjun Luo, Zhipeng Xu, Zhiren Sheng, Jianhua Wang, Binbin Zhu","doi":"10.1080/08941939.2022.2101166","DOIUrl":null,"url":null,"abstract":"Abstract Aim: There is currently no consensus on the best risk assessment technique for predicting complications after hip surgery in the elderly, which is hindering the accuracy of surgical risk assessment. The goal of this study was to build a risk assessment model and evaluate its predictive value using the modified frailty index (5-mFI) and the prognostic nutritional index (PNI). Methods: A retrospective investigation was undertaken on 150 patients (aged ≥60 years) who had hip fracture surgery. Using univariate and multivariate logistic regression models, the relationship between combined 5-mFI and PNI and the evaluation of postoperative unfavorable outcomes such as infection and unscheduled intensive care unit (ICU) admission was investigated. Finally, utilizing receiver operating characteristic (ROC) curve analysis, the model’s predictive value for adverse outcomes following hip fracture surgery in elderly patients was assessed. Results: Univariate and multivariate logistic analyses revealed that preoperative PNI, 5-mFI, ASA, and gender acted as independent predictors of adverse outcomes after hip fracture surgery in the elderly. According to the ROC curve analysis, the predictive model demonstrated a high predictive value for total postoperative complications (AUC: 0.788; 95%CI: 0.715–0.860; p<0.01), infectious complications (AUC: 0.798; 95% CI: 0.727–0.868; P<0.001), and unplanned ICU admission (AUC: 0.783; 95% CI: 0.705–0.861; P<0.001). Conclusions: The multivariable evaluation model, which included 5-mFI and PNI, showed a high predictive value and can hence be applied to predict the adverse outcomes in elderly patients undergoing hip fracture surgery.","PeriodicalId":16200,"journal":{"name":"Journal of Investigative Surgery","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Modified Frailty Index Combined with a Prognostic Nutritional Index for Predicting Postoperative Complications of Hip Fracture Surgery in Elderly.\",\"authors\":\"Yanling Zhou, Long Wang, Angyang Cao, Wenjun Luo, Zhipeng Xu, Zhiren Sheng, Jianhua Wang, Binbin Zhu\",\"doi\":\"10.1080/08941939.2022.2101166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Aim: There is currently no consensus on the best risk assessment technique for predicting complications after hip surgery in the elderly, which is hindering the accuracy of surgical risk assessment. The goal of this study was to build a risk assessment model and evaluate its predictive value using the modified frailty index (5-mFI) and the prognostic nutritional index (PNI). Methods: A retrospective investigation was undertaken on 150 patients (aged ≥60 years) who had hip fracture surgery. Using univariate and multivariate logistic regression models, the relationship between combined 5-mFI and PNI and the evaluation of postoperative unfavorable outcomes such as infection and unscheduled intensive care unit (ICU) admission was investigated. Finally, utilizing receiver operating characteristic (ROC) curve analysis, the model’s predictive value for adverse outcomes following hip fracture surgery in elderly patients was assessed. Results: Univariate and multivariate logistic analyses revealed that preoperative PNI, 5-mFI, ASA, and gender acted as independent predictors of adverse outcomes after hip fracture surgery in the elderly. According to the ROC curve analysis, the predictive model demonstrated a high predictive value for total postoperative complications (AUC: 0.788; 95%CI: 0.715–0.860; p<0.01), infectious complications (AUC: 0.798; 95% CI: 0.727–0.868; P<0.001), and unplanned ICU admission (AUC: 0.783; 95% CI: 0.705–0.861; P<0.001). Conclusions: The multivariable evaluation model, which included 5-mFI and PNI, showed a high predictive value and can hence be applied to predict the adverse outcomes in elderly patients undergoing hip fracture surgery.\",\"PeriodicalId\":16200,\"journal\":{\"name\":\"Journal of Investigative Surgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Investigative Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/08941939.2022.2101166\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/7/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Investigative Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/08941939.2022.2101166","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/7/29 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Modified Frailty Index Combined with a Prognostic Nutritional Index for Predicting Postoperative Complications of Hip Fracture Surgery in Elderly.
Abstract Aim: There is currently no consensus on the best risk assessment technique for predicting complications after hip surgery in the elderly, which is hindering the accuracy of surgical risk assessment. The goal of this study was to build a risk assessment model and evaluate its predictive value using the modified frailty index (5-mFI) and the prognostic nutritional index (PNI). Methods: A retrospective investigation was undertaken on 150 patients (aged ≥60 years) who had hip fracture surgery. Using univariate and multivariate logistic regression models, the relationship between combined 5-mFI and PNI and the evaluation of postoperative unfavorable outcomes such as infection and unscheduled intensive care unit (ICU) admission was investigated. Finally, utilizing receiver operating characteristic (ROC) curve analysis, the model’s predictive value for adverse outcomes following hip fracture surgery in elderly patients was assessed. Results: Univariate and multivariate logistic analyses revealed that preoperative PNI, 5-mFI, ASA, and gender acted as independent predictors of adverse outcomes after hip fracture surgery in the elderly. According to the ROC curve analysis, the predictive model demonstrated a high predictive value for total postoperative complications (AUC: 0.788; 95%CI: 0.715–0.860; p<0.01), infectious complications (AUC: 0.798; 95% CI: 0.727–0.868; P<0.001), and unplanned ICU admission (AUC: 0.783; 95% CI: 0.705–0.861; P<0.001). Conclusions: The multivariable evaluation model, which included 5-mFI and PNI, showed a high predictive value and can hence be applied to predict the adverse outcomes in elderly patients undergoing hip fracture surgery.
期刊介绍:
Journal of Investigative Surgery publishes peer-reviewed scientific articles for the advancement of surgery, to the ultimate benefit of patient care and rehabilitation. It is the only journal that encompasses the individual and collaborative efforts of scientists in human and veterinary medicine, dentistry, basic and applied sciences, engineering, and law and ethics. The journal is dedicated to the publication of outstanding articles of interest to the surgical research community.