{"title":"预测髋部骨折手术后老年患者术后早期谵妄的新型术前脑电图衍生指数:建立预测模型。","authors":"Ayixia Nawan, Geng Wang, Congcong Zhao, Wenchao Zhang, Bailin Jiang, Yi Feng","doi":"10.1177/21514593241258654","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>It is appealing to accurately predict postoperative delirium (POD) before surgeries. In this study, it was hypothesized that a novel electroencephalogram-derived index, the delirium index (DELi), could extract latent information regarding the predisposing factors of POD preoperatively. This study was aimed at developing a concise model that incorporated this DELi score to predict the early POD of elderly patients after hip surgeries.</p><p><strong>Materials and methods: </strong>Elderly patients scheduled for elective hip fracture surgeries were prospectively enrolled in a tertiary care hospital from November 2020 to June 2022. DELi scores and patient characteristics (age, sex, types of fracture and surgery, the time interval between fracture and surgery, cognitive function assessed using the Montreal Cognitive Assessment (MoCA), and frailty status assessed using the FRAIL scale) were collected preoperatively as candidate predictors. POD diagnosed using the confusion assessment method (CAM) was the outcome. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select predictors. Then, these predictors were entered into a backward logistical regression analysis to develop a prediction model. Discrimination, calibration and clinical utility were validated using the bootstrapping method.</p><p><strong>Results: </strong>All data (144 qualified patients of 170) were used for development. POD was observed in 71 patients (49.3%). Preoperative DELi scores predicted early POD (the area under the curve (AUC) = .786, 95% confidence interval (CI): .712, .860, in internal validation). A nomogram with MoCA, FRAIL scale and DELi score was constructed with excellent discrimination (AUC = .920, 95% CI: .876, .963, in internal validation), accredited calibration (<i>P</i> = .733, Hosmer‒Lemeshow test), and a wide range of threshold probabilities (5% to 95%).</p><p><strong>Conclusions: </strong>Preoperative DELi scores predicted the early POD of elderly patients after hip surgeries. A concise prediction model was developed and demonstrated excellent discrimination.</p>","PeriodicalId":48568,"journal":{"name":"Geriatric Orthopaedic Surgery & Rehabilitation","volume":"15 ","pages":"21514593241258654"},"PeriodicalIF":1.6000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149441/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Novel Preoperative Electroencephalogram-Derived Index to Predict Early Postoperative Delirium in Elderly Patients After Hip Fracture Surgeries: Development of a Prediction Model.\",\"authors\":\"Ayixia Nawan, Geng Wang, Congcong Zhao, Wenchao Zhang, Bailin Jiang, Yi Feng\",\"doi\":\"10.1177/21514593241258654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>It is appealing to accurately predict postoperative delirium (POD) before surgeries. In this study, it was hypothesized that a novel electroencephalogram-derived index, the delirium index (DELi), could extract latent information regarding the predisposing factors of POD preoperatively. This study was aimed at developing a concise model that incorporated this DELi score to predict the early POD of elderly patients after hip surgeries.</p><p><strong>Materials and methods: </strong>Elderly patients scheduled for elective hip fracture surgeries were prospectively enrolled in a tertiary care hospital from November 2020 to June 2022. DELi scores and patient characteristics (age, sex, types of fracture and surgery, the time interval between fracture and surgery, cognitive function assessed using the Montreal Cognitive Assessment (MoCA), and frailty status assessed using the FRAIL scale) were collected preoperatively as candidate predictors. POD diagnosed using the confusion assessment method (CAM) was the outcome. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select predictors. Then, these predictors were entered into a backward logistical regression analysis to develop a prediction model. Discrimination, calibration and clinical utility were validated using the bootstrapping method.</p><p><strong>Results: </strong>All data (144 qualified patients of 170) were used for development. POD was observed in 71 patients (49.3%). Preoperative DELi scores predicted early POD (the area under the curve (AUC) = .786, 95% confidence interval (CI): .712, .860, in internal validation). A nomogram with MoCA, FRAIL scale and DELi score was constructed with excellent discrimination (AUC = .920, 95% CI: .876, .963, in internal validation), accredited calibration (<i>P</i> = .733, Hosmer‒Lemeshow test), and a wide range of threshold probabilities (5% to 95%).</p><p><strong>Conclusions: </strong>Preoperative DELi scores predicted the early POD of elderly patients after hip surgeries. A concise prediction model was developed and demonstrated excellent discrimination.</p>\",\"PeriodicalId\":48568,\"journal\":{\"name\":\"Geriatric Orthopaedic Surgery & Rehabilitation\",\"volume\":\"15 \",\"pages\":\"21514593241258654\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149441/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geriatric Orthopaedic Surgery & Rehabilitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/21514593241258654\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geriatric Orthopaedic Surgery & Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/21514593241258654","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
简介在手术前准确预测术后谵妄(POD)是非常有吸引力的。本研究假设,一种新型脑电图衍生指数--谵妄指数(DELi)--可提取有关术前 POD 易感因素的潜在信息。本研究旨在建立一个简明的模型,结合 DELi 评分预测老年髋关节手术后患者的早期 POD:2020年11月至2022年6月期间,一家三级医院对计划接受髋部骨折择期手术的老年患者进行了前瞻性登记。术前收集 DELi 评分和患者特征(年龄、性别、骨折和手术类型、骨折与手术之间的时间间隔、使用蒙特利尔认知评估(MoCA)评估的认知功能以及使用 FRAIL 量表评估的虚弱状态)作为候选预测指标。结果采用混淆评估法(CAM)诊断出 POD。采用最小绝对收缩和选择算子(LASSO)回归分析来选择预测因子。然后,将这些预测因子输入反向逻辑回归分析,建立预测模型。结果:所有数据(170 名患者中的 144 名合格患者)均用于建立预测模型。71名患者(49.3%)观察到了POD。术前 DELi 评分可预测早期 POD(内部验证的曲线下面积 (AUC) = .786,95% 置信区间 (CI):.712, .860)。用MoCA、FRAIL量表和DELi评分构建的提名图具有极佳的区分度(内部验证中,AUC = .920,95% CI:.876, .963)、认可的校准(P = .733,Hosmer-Lemeshow检验)和广泛的阈值概率范围(5%至95%):结论:术前 DELi 评分可预测老年患者髋关节手术后的早期 POD。结论:术前 DELi 评分可预测老年髋关节手术后患者的早期 POD。
A Novel Preoperative Electroencephalogram-Derived Index to Predict Early Postoperative Delirium in Elderly Patients After Hip Fracture Surgeries: Development of a Prediction Model.
Introduction: It is appealing to accurately predict postoperative delirium (POD) before surgeries. In this study, it was hypothesized that a novel electroencephalogram-derived index, the delirium index (DELi), could extract latent information regarding the predisposing factors of POD preoperatively. This study was aimed at developing a concise model that incorporated this DELi score to predict the early POD of elderly patients after hip surgeries.
Materials and methods: Elderly patients scheduled for elective hip fracture surgeries were prospectively enrolled in a tertiary care hospital from November 2020 to June 2022. DELi scores and patient characteristics (age, sex, types of fracture and surgery, the time interval between fracture and surgery, cognitive function assessed using the Montreal Cognitive Assessment (MoCA), and frailty status assessed using the FRAIL scale) were collected preoperatively as candidate predictors. POD diagnosed using the confusion assessment method (CAM) was the outcome. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select predictors. Then, these predictors were entered into a backward logistical regression analysis to develop a prediction model. Discrimination, calibration and clinical utility were validated using the bootstrapping method.
Results: All data (144 qualified patients of 170) were used for development. POD was observed in 71 patients (49.3%). Preoperative DELi scores predicted early POD (the area under the curve (AUC) = .786, 95% confidence interval (CI): .712, .860, in internal validation). A nomogram with MoCA, FRAIL scale and DELi score was constructed with excellent discrimination (AUC = .920, 95% CI: .876, .963, in internal validation), accredited calibration (P = .733, Hosmer‒Lemeshow test), and a wide range of threshold probabilities (5% to 95%).
Conclusions: Preoperative DELi scores predicted the early POD of elderly patients after hip surgeries. A concise prediction model was developed and demonstrated excellent discrimination.
期刊介绍:
Geriatric Orthopaedic Surgery & Rehabilitation (GOS) is an open access, peer-reviewed journal that provides clinical information concerning musculoskeletal conditions affecting the aging population. GOS focuses on care of geriatric orthopaedic patients and their subsequent rehabilitation. This journal is a member of the Committee on Publication Ethics (COPE).