个体化预测老年髋部骨折患者术后谵妄风险
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  • 英文篇名:Individualized prediction of postoperative delirium in elderly patients with hip fracture
  • 作者:王树相 ; 陈鑫磊 ; 徐超
  • 英文作者:WANG Shu-xiang;CHEN Xin-lei;XU Chao;Department of Traumatic Orthopedics, Central Hospital of Zibo;
  • 关键词:老年 ; 髋部骨折 ; 术后谵妄 ; 列线图
  • 英文关键词:elderly;;hip fracture;;postoperative delirium;;nomogram
  • 中文刊名:ZJXS
  • 英文刊名:Orthopedic Journal of China
  • 机构:山东淄博市中心医院创伤骨科;
  • 出版日期:2019-03-20
  • 出版单位:中国矫形外科杂志
  • 年:2019
  • 期:v.27;No.464
  • 语种:中文;
  • 页:ZJXS201906015
  • 页数:7
  • CN:06
  • ISSN:37-1247/R
  • 分类号:68-74
摘要
[目的]通过分析老年髋部骨折患者术后谵妄的相关危险因素,建立并验证个体化预测老年髋部骨折术后谵妄风险的列线图模型。[方法]纳入2013年1月~2018年3月于淄博市中心医院行手术治疗的老年髋部骨折患者257例,收集临床资料。应用单因素及多因素Logistic回归模型,分析老年髋部骨折患者术后谵妄的独立危险因素。应用R软件构建预测老年髋部骨折患者术后谵妄风险的列线图模型,并进行验证。[结果]多因素Logistic回归分析显示,年龄(OR=1.143,95%CI:1.076~1.214)、2型糖尿病(OR=4.591,95%CI:2.14~9.846)、ASA评分III级(OR=4.262,95%CI:1.600~11.352)、ASA评分IV级(OR=5.396,95%CI:1.868~15.583)、全身麻醉(OR=1.281,95%CI:1.066~1.540)及手术时间(OR=1.018,95%CI:1.001~1.035)是老年髋部骨折患者术后谵妄的独立危险因素(P<0.05)。对列线图模型进行验证,ROC曲线显示该模型预测老年髋部骨折患者术后谵妄风险的曲线下面积为0.818(95%CI:0.752~0.885);校准曲线为斜率接近于1的直线,Hosmer-Lemeshow拟合优度检验(x~2=8.760,P=0.363)均显示该模型预测老年髋部骨折患者术后谵妄风险具有良好准确度。[结论]本研究基于年龄、2型糖尿病、ASA分级、麻醉方式及手术时间这5项老年髋部骨折患者术后谵妄的独立危险因素,构建的预测老年髋部骨折患者术后谵妄风险的列线图模型,具有良好的区分度与准确度,可为临床个体化防治老年髋部骨折患者术后谵妄提供科学指导。
        [Objective] To determine risk factors of postoperative delirium in elderly patients with hip fracture, and develop a nomogram model to predict these risks. [Methods] A total of 257 elderly patients who underwent surgical treatment for hip fracture hospitalized at our department from January 2013 to March 2018 were included into this study. Univariate and multivariate logistic regression were conducted to identify independent risk factors of postoperative delirium in the 257 patients. A nomogram was developed by R software and validated to predict the risk of post-operative delirium. [Results] Multivariate logistic regression analysis revealed that age(OR=1.143, 95%CI: 1.076-1.214), Type 2 Diabetes(OR=4.591, 95% CI: 2.14~9.846),ASA grade III(OR=4.262, 95% CI: 1.600~11.352), ASA grsde IV(OR=5.396, 95% CI: 1.868~15.583), general anesthesia(OR=1.281, 95% CI: 1.066~1.540) and surgery time(OR=1.018, 95% CI: 1.001~1.035) were independent risk factors of postoperative delirium in elderly patients with hip fracture(P<0.05). For validation of the nomogram, ROC curve revealed that the model predicting postoperative delirium in elderly patients with hip fracture was the area under the curve of 0.818(95%CI:0.752~0.885), the slope of the calibration plot was close to 1 and the model passed Hosmer-Lemeshow goodness of fit test(x~2=8.760, P=0.363), which demonstrated that the model was of good accuracy. [Conclusion] The nomogram predicting postoperative delirium in patients with hip fracture constructed based on age, type 2 diabetes, ASA score, anesthesia, and surgery time is of good discrimination and accuracy, which was of clinical significance.
引文
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