Risk Factors and Construction of a Predictive Model for Postoperative Early Cognitive Dysfunction in Aortic Dissecting Aneurysms.

IF 1.2 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Lu Ding, Yinhuan Xu, Guangpu Fan
{"title":"Risk Factors and Construction of a Predictive Model for Postoperative Early Cognitive Dysfunction in Aortic Dissecting Aneurysms.","authors":"Lu Ding, Yinhuan Xu, Guangpu Fan","doi":"10.1536/ihj.24-686","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to investigate the factors influencing cognitive dysfunction in patients with aortic dissection after surgery and to construct a risk prediction model for it.This retrospective study analyzed 122 patients with aortic dissection who were admitted to our hospital between January 1, 2015, and February 29, 2024. First, we grouped the patients based on the early occurrence of postoperative cognitive dysfunction (POCD) after surgery into the POCD and non-POCD groups. We subsequently compared the general clinical data and relevant surgical information between the two groups. Multivariate binary logistic regression analysis was performed to identify the factors influencing early POCD in patients with aortic dissection. Then, the risk prediction model was constructed. Receiver operating characteristic (ROC) curves were used to analyze each factor's predictive effectiveness.Multivariate binary logistic regression analysis revealed that age at surgery (P = 0.042), intensive care unit (ICU) stay duration (P = 0.003), mechanical ventilation time (P = 0.020), and aortic cross-clamping time (P = 0.010) were independent risk factors for early POCD in patients with aortic dissection, while postoperative oxygen saturation (P < 0.001) acted as an independent protective factor. A predictive model was established, achieving a ROC curve, area under the curve of 0.955, 95% confidence interval (0.917, 0.993), sensitivity of 0.878, and specificity of 0.926.Age at surgery, ICU stay duration, mechanical ventilation time, aortic cross-clamping time, and postoperative oxygen saturation were independent influencing factors for predicting early POCD.</p>","PeriodicalId":13711,"journal":{"name":"International heart journal","volume":"66 3","pages":"456-462"},"PeriodicalIF":1.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International heart journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1536/ihj.24-686","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This study aimed to investigate the factors influencing cognitive dysfunction in patients with aortic dissection after surgery and to construct a risk prediction model for it.This retrospective study analyzed 122 patients with aortic dissection who were admitted to our hospital between January 1, 2015, and February 29, 2024. First, we grouped the patients based on the early occurrence of postoperative cognitive dysfunction (POCD) after surgery into the POCD and non-POCD groups. We subsequently compared the general clinical data and relevant surgical information between the two groups. Multivariate binary logistic regression analysis was performed to identify the factors influencing early POCD in patients with aortic dissection. Then, the risk prediction model was constructed. Receiver operating characteristic (ROC) curves were used to analyze each factor's predictive effectiveness.Multivariate binary logistic regression analysis revealed that age at surgery (P = 0.042), intensive care unit (ICU) stay duration (P = 0.003), mechanical ventilation time (P = 0.020), and aortic cross-clamping time (P = 0.010) were independent risk factors for early POCD in patients with aortic dissection, while postoperative oxygen saturation (P < 0.001) acted as an independent protective factor. A predictive model was established, achieving a ROC curve, area under the curve of 0.955, 95% confidence interval (0.917, 0.993), sensitivity of 0.878, and specificity of 0.926.Age at surgery, ICU stay duration, mechanical ventilation time, aortic cross-clamping time, and postoperative oxygen saturation were independent influencing factors for predicting early POCD.

主动脉夹层动脉瘤术后早期认知功能障碍的危险因素及预测模型的构建。
本研究旨在探讨主动脉夹层术后认知功能障碍的影响因素,并建立其风险预测模型。本回顾性研究分析了2015年1月1日至2024年2月29日在我院收治的122例主动脉夹层患者。首先,我们根据术后早期认知功能障碍(POCD)的发生情况将患者分为POCD组和非POCD组。随后,我们比较了两组患者的一般临床资料和相关手术信息。采用多元二元logistic回归分析确定影响主动脉夹层患者早期POCD的因素。然后,构建风险预测模型。采用受试者工作特征(ROC)曲线分析各因素的预测效果。多因素二元logistic回归分析显示,手术年龄(P = 0.042)、重症监护病房(ICU)住院时间(P = 0.003)、机械通气时间(P = 0.020)、主动脉交叉夹持时间(P = 0.010)是主动脉夹层患者早期POCD的独立危险因素,术后血氧饱和度(P < 0.001)是独立保护因素。建立预测模型,获得ROC曲线,曲线下面积为0.955,95%置信区间(0.917,0.993),灵敏度为0.878,特异度为0.926。手术年龄、ICU住院时间、机械通气时间、主动脉交叉夹持时间、术后血氧饱和度是预测早期POCD的独立影响因素。
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
International heart journal
International heart journal 医学-心血管系统
CiteScore
2.50
自引率
6.70%
发文量
148
审稿时长
6-12 weeks
期刊介绍: Authors of research articles should disclose at the time of submission any financial arrangement they may have with a company whose product figures prominently in the submitted manuscript or with a company making a competing product. Such information will be held in confidence while the paper is under review and will not influence the editorial decision, but if the article is accepted for publication, the editors will usually discuss with the authors the manner in which such information is to be communicated to the reader.
×
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:481959085
Book学术官方微信