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基于入院时收集的数据开发并验证用于预测老年髋部骨折患者术后谵妄的列线图。

Development and Validation of a Nomogram for Predicting Postoperative Delirium in Patients With Elderly Hip Fracture Based on Data Collected on Admission.

作者信息

Yang Yin, Wang Tianpei, Guo Hua, Sun Ye, Cao Junjun, Xu Peng, Cai Yongsong

机构信息

Department of Orthopaedics, Xi'an Central Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, China.

Graduate School, Shaanxi University of Traditional Chinese Medicine, Xianyang, China.

出版信息

Front Aging Neurosci. 2022 Jun 16;14:914002. doi: 10.3389/fnagi.2022.914002. eCollection 2022.

Abstract

Delirium is a common postoperative complication in elderly hip fracture patients that seriously affects patients' lives and health, and early delirium risk prediction, and targeted measures can significantly reduce the incidence of delirium. The purpose of this study was to develop and validate a nomogram for the prediction of postoperative delirium (POD) in elderly hip fracture patients. A total of 328 elderly patients with hip fractures enrolled retrospectively in department 1 of our hospital were randomly divided into the training set ( = 230) and the internal validation set ( = 98). The least absolute shrinkage and selection operator (LASSO) regression analysis was used for feature variable selection, and multivariate logistic regression with a backward stepwise method was used to construct a nomogram in the training set. The discrimination efficacy and calibration efficacy of the nomogram were evaluated through the receiver operating characteristic (ROC) curve and calibration curve, respectively. The clinical usefulness was estimated through decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Another validation set from department 2 of our hospital, containing 76 elderly patients with hip fractures, was used for external validation of the nomogram. A total of 43 (13.1%) and 12 (15.8%) patients had POD in department 1 and department 2, respectively. The nomogram was constructed by three predictors, including dementia, chronic obstructive pulmonary disease (COPD), and albumin level. The nomogram showed good discrimination efficacy and calibration efficacy, with the AUC of 0.791 (95% CI, 0.708-0.873), 0.820 (95% CI, 0.676-0.964), and 0.841 (95% CI, 0.717-0.966) in the training set, the internal validation set, and the external validation set, respectively. Both DCA and CIC demonstrated that this nomogram has good clinical usefulness. The nomogram constructed by dementia, COPD, and albumin level can be conveniently used to predict POD in patients with elderly hip fractures.

摘要

谵妄是老年髋部骨折患者常见的术后并发症,严重影响患者的生活和健康,早期谵妄风险预测及针对性措施可显著降低谵妄的发生率。本研究的目的是开发并验证一种用于预测老年髋部骨折患者术后谵妄(POD)的列线图。回顾性纳入我院第一科室的328例老年髋部骨折患者,随机分为训练集(n = 230)和内部验证集(n = 98)。采用最小绝对收缩和选择算子(LASSO)回归分析进行特征变量选择,并在训练集中采用向后逐步法的多因素逻辑回归构建列线图。分别通过受试者操作特征(ROC)曲线和校准曲线评估列线图的区分效能和校准效能。通过决策曲线分析(DCA)和临床影响曲线(CIC)分析评估临床实用性。来自我院第二科室的另一组包含76例老年髋部骨折患者的验证集用于列线图的外部验证。第一科室和第二科室分别有43例(13.1%)和12例(15.8%)患者发生POD。该列线图由三个预测因素构建,包括痴呆、慢性阻塞性肺疾病(COPD)和白蛋白水平。列线图显示出良好的区分效能和校准效能,训练集、内部验证集和外部验证集的AUC分别为0.791(95%CI,0.708 - 0.873)、0.820(95%CI,0.676 - 0.964)和0.841(95%CI,0.717 - 0.966)。DCA和CIC均表明该列线图具有良好的临床实用性。由痴呆、COPD和白蛋白水平构建的列线图可方便地用于预测老年髋部骨折患者的POD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31fd/9243358/b06c57c75911/fnagi-14-914002-g0001.jpg

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