Risk factors and nomogram for postoperative delirium in elderly orthopedic patients in the Intensive Care Unit: Retrospective study based on MIMIC–IV

IF 2.1 Q3 NURSING
Hao Chen, Jing Wang, Yu Zhang, Weihong Zhao, Mengnan Han, Jing Zhang, Jianli Li
{"title":"Risk factors and nomogram for postoperative delirium in elderly orthopedic patients in the Intensive Care Unit: Retrospective study based on MIMIC–IV","authors":"Hao Chen,&nbsp;Jing Wang,&nbsp;Yu Zhang,&nbsp;Weihong Zhao,&nbsp;Mengnan Han,&nbsp;Jing Zhang,&nbsp;Jianli Li","doi":"10.1016/j.ijotn.2025.101196","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study aimed to identify predictors of postoperative delirium (POD) in older adult orthopedic ICU patients and develop a nomogram for predicting POD.</div></div><div><h3>Methods</h3><div>Patient data were collected from the Medical Information Mart for Intensive Care (MIMIC–IV). Independent predictors for POD were identified using least absolute shrinkage and selection operator and logistic regression. The nomogram was developed using selected predictors and assessed by the bootstrap method. Area under the receiver operating characteristic curves (AUC) and calibration curve were used to determine the discrimination performance and calibration ability. Clinical usefulness was assessed using decision curve analysis (DCA) and clinical impact curve (CIC).</div></div><div><h3>Results</h3><div>A total of 430 older adult orthopedic patients were screened out, with an incidence of POD of 36.2 %. Four independent predictors were identified, including Braden skin score (OR = 0.886; 95 % CI: 0.800–0.982; p = 0.021), mechanical ventilation (OR = 1.883; 95 % CI: 1.179–3.008; p = 0.008), cerebrovascular disease (OR = 2.113; 95 % CI: 1.165–3.831; p = 0.014) and acute physiology score III (APS III) (OR = 1.029; 95 % CI: 1.017–1.042; p &lt; 0.001). The AUC of our nomogram was 0.724 (95 % CI: 0.674–0.774), and internal validation revealed an AUC of 0.713, which suggested moderate predictive performance. The DCA and CIC analysis suggested good clinical utility.</div></div><div><h3>Conclusion</h3><div>Braden skin score, mechanical ventilation, cerebrovascular disease and <span>APS</span> <span>III</span> are significant predictors of POD in older adult orthopedic patients in the ICU, and the nomogram would be helpful in supporting nursing management of POD.</div></div>","PeriodicalId":45099,"journal":{"name":"International Journal of Orthopaedic and Trauma Nursing","volume":"58 ","pages":"Article 101196"},"PeriodicalIF":2.1000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Orthopaedic and Trauma Nursing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878124125000413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

Abstract

Background

This study aimed to identify predictors of postoperative delirium (POD) in older adult orthopedic ICU patients and develop a nomogram for predicting POD.

Methods

Patient data were collected from the Medical Information Mart for Intensive Care (MIMIC–IV). Independent predictors for POD were identified using least absolute shrinkage and selection operator and logistic regression. The nomogram was developed using selected predictors and assessed by the bootstrap method. Area under the receiver operating characteristic curves (AUC) and calibration curve were used to determine the discrimination performance and calibration ability. Clinical usefulness was assessed using decision curve analysis (DCA) and clinical impact curve (CIC).

Results

A total of 430 older adult orthopedic patients were screened out, with an incidence of POD of 36.2 %. Four independent predictors were identified, including Braden skin score (OR = 0.886; 95 % CI: 0.800–0.982; p = 0.021), mechanical ventilation (OR = 1.883; 95 % CI: 1.179–3.008; p = 0.008), cerebrovascular disease (OR = 2.113; 95 % CI: 1.165–3.831; p = 0.014) and acute physiology score III (APS III) (OR = 1.029; 95 % CI: 1.017–1.042; p < 0.001). The AUC of our nomogram was 0.724 (95 % CI: 0.674–0.774), and internal validation revealed an AUC of 0.713, which suggested moderate predictive performance. The DCA and CIC analysis suggested good clinical utility.

Conclusion

Braden skin score, mechanical ventilation, cerebrovascular disease and APS III are significant predictors of POD in older adult orthopedic patients in the ICU, and the nomogram would be helpful in supporting nursing management of POD.
重症监护室老年骨科患者术后谵妄的危险因素和特征图:基于MIMIC-IV的回顾性研究
本研究旨在确定老年骨科ICU患者术后谵妄(POD)的预测因素,并建立预测POD的nomogram。方法从重症监护医学信息市场(MIMIC-IV)收集患者数据。使用最小绝对收缩、选择算子和逻辑回归确定POD的独立预测因子。使用选定的预测因子开发nomogram,并通过bootstrap方法进行评估。采用接收机工作特征曲线(AUC)下面积和校准曲线下面积来确定识别性能和校准能力。采用决策曲线分析(DCA)和临床影响曲线(CIC)评估临床有用性。结果共筛选出430例老年骨科患者,POD发生率为36.2%。确定了4个独立预测因子,包括Braden皮肤评分(OR = 0.886;95% ci: 0.800-0.982;p = 0.021),机械通气(OR = 1.883;95% ci: 1.179-3.008;p = 0.008),脑血管疾病(OR = 2.113;95% ci: 1.165-3.831;p = 0.014)和急性生理评分III (APS III) (OR = 1.029;95% ci: 1.017-1.042;p & lt;0.001)。我们的nomogram AUC为0.724 (95% CI: 0.674-0.774),内部验证显示AUC为0.713,表明预测效果中等。DCA和CIC分析表明该方法具有良好的临床应用价值。结论braden皮肤评分、机械通气、脑血管疾病、APSⅲ是ICU老年骨科患者POD的重要预测指标,其nomogram评分有助于支持POD的护理管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.60
自引率
14.30%
发文量
34
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信