心脏手术中和术后早期谵妄风险的预测因素:来自前瞻性观察性FINDERI研究的结果

IF 12.5 2区 医学 Q1 SURGERY
Paul T Itting, Monika Sadlonova, Manuel J Santander, Maria Knierim, Carlotta Derad, Thomas Asendorf, Christopher M Celano, Niels Hansen, Hermann Esselmann, Stephanie Heinemann, Charlotte Eberhard, Melanie Hoteit, Mirjam F Schröder, Ingo Kutschka, Jens Wiltfang, Christine A F von Arnim, Hassina Baraki
{"title":"心脏手术中和术后早期谵妄风险的预测因素:来自前瞻性观察性FINDERI研究的结果","authors":"Paul T Itting, Monika Sadlonova, Manuel J Santander, Maria Knierim, Carlotta Derad, Thomas Asendorf, Christopher M Celano, Niels Hansen, Hermann Esselmann, Stephanie Heinemann, Charlotte Eberhard, Melanie Hoteit, Mirjam F Schröder, Ingo Kutschka, Jens Wiltfang, Christine A F von Arnim, Hassina Baraki","doi":"10.1097/JS9.0000000000002265","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Postoperative delirium (POD) is a severe complication following cardiac surgery and is associated with increased morbidity and mortality. The impact of intra- and early postoperative factors on the occurrence of POD following cardiac surgery remains controversial. To close this gap, we investigated intra- and early postoperative factors and their predictive values for POD.</p><p><strong>Methods: </strong>We performed a prospective observational study that aimed to FIND DElirium RIsk factors (FINDERI) for patients undergoing elective cardiac surgery. POD was assessed using the Confusion Assessment Method algorithm. Intra- and early postoperative factors were extracted from electronic medical records and reviewed by cardiac surgeons. To identify potential predictors of POD, we used univariate and multivariate logistic regression along with machine learning (ML) with ten-fold cross-validation.</p><p><strong>Results: </strong>In our study cohort of 490 patients, 106 screened positive for POD (21.6%). In the multivariate analysis, we found a positive association between POD occurrence and age ( P < 0.001), duration of surgery ( P = 0.027), combined (versus isolated) surgical procedures ( P = 0.024), opening of the cardiac chambers ( P = 0.046), and ventilation time ( P < 0.001). The ML-based decision tree identified a two level-algorithm including ventilation time and aortic cross-clamping time, with an AUC of 0.7116 ( P = 0.0002) in the validation set. In the ML-based LASSO regression analysis, we identified ventilation time, administration of erythrocyte concentrates (EC), and usage of cardiopulmonary bypass (CPB) as predictors of POD, with an AUC of 0.7407 ( P < 0.0001) in the validation set.</p><p><strong>Conclusion: </strong>The results of this analysis highlight the associations between ventilation time, aortic cross-clamping time, administration of EC, and usage of CPB and POD. Additionally, they suggest that the optimization of surgical protocols has the potential to reduce POD risk in individuals undergoing cardiac surgery.</p>","PeriodicalId":14401,"journal":{"name":"International journal of surgery","volume":" ","pages":"2872-2885"},"PeriodicalIF":12.5000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intra- and early postoperative predictors of delirium risk in cardiac surgery: results from the prospective observational FINDERI study.\",\"authors\":\"Paul T Itting, Monika Sadlonova, Manuel J Santander, Maria Knierim, Carlotta Derad, Thomas Asendorf, Christopher M Celano, Niels Hansen, Hermann Esselmann, Stephanie Heinemann, Charlotte Eberhard, Melanie Hoteit, Mirjam F Schröder, Ingo Kutschka, Jens Wiltfang, Christine A F von Arnim, Hassina Baraki\",\"doi\":\"10.1097/JS9.0000000000002265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Postoperative delirium (POD) is a severe complication following cardiac surgery and is associated with increased morbidity and mortality. The impact of intra- and early postoperative factors on the occurrence of POD following cardiac surgery remains controversial. To close this gap, we investigated intra- and early postoperative factors and their predictive values for POD.</p><p><strong>Methods: </strong>We performed a prospective observational study that aimed to FIND DElirium RIsk factors (FINDERI) for patients undergoing elective cardiac surgery. POD was assessed using the Confusion Assessment Method algorithm. Intra- and early postoperative factors were extracted from electronic medical records and reviewed by cardiac surgeons. To identify potential predictors of POD, we used univariate and multivariate logistic regression along with machine learning (ML) with ten-fold cross-validation.</p><p><strong>Results: </strong>In our study cohort of 490 patients, 106 screened positive for POD (21.6%). In the multivariate analysis, we found a positive association between POD occurrence and age ( P < 0.001), duration of surgery ( P = 0.027), combined (versus isolated) surgical procedures ( P = 0.024), opening of the cardiac chambers ( P = 0.046), and ventilation time ( P < 0.001). The ML-based decision tree identified a two level-algorithm including ventilation time and aortic cross-clamping time, with an AUC of 0.7116 ( P = 0.0002) in the validation set. In the ML-based LASSO regression analysis, we identified ventilation time, administration of erythrocyte concentrates (EC), and usage of cardiopulmonary bypass (CPB) as predictors of POD, with an AUC of 0.7407 ( P < 0.0001) in the validation set.</p><p><strong>Conclusion: </strong>The results of this analysis highlight the associations between ventilation time, aortic cross-clamping time, administration of EC, and usage of CPB and POD. Additionally, they suggest that the optimization of surgical protocols has the potential to reduce POD risk in individuals undergoing cardiac surgery.</p>\",\"PeriodicalId\":14401,\"journal\":{\"name\":\"International journal of surgery\",\"volume\":\" \",\"pages\":\"2872-2885\"},\"PeriodicalIF\":12.5000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/JS9.0000000000002265\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/JS9.0000000000002265","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

摘要

背景:术后谵妄(POD)是心脏手术后的严重并发症,与发病率和死亡率增加有关。心脏手术后,术中及术后早期因素对POD发生的影响仍有争议。为了缩小这一差距,我们研究了术后和术后早期的因素及其对POD的预测价值。方法:我们进行了一项前瞻性观察研究,旨在发现选择性心脏手术患者谵妄危险因素(FINDERI)。采用混淆评估法(Confusion Assessment Method, CAM)对POD进行评估。从电子病历中提取术后和术后早期的因素,并由心脏外科医生进行审查。为了确定POD的潜在预测因素,我们使用单变量和多变量逻辑回归以及机器学习(ML)进行了十倍交叉验证。结果:在我们的研究队列490例患者中,106例POD筛查阳性(21.6%)。在多因素分析中,我们发现POD的发生与年龄呈正相关(结论:本分析结果强调了通气时间、主动脉交叉夹闭时间、EC给药以及CPB和POD的使用之间的相关性。此外,他们建议优化手术方案有可能降低接受心脏手术的个体的POD风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intra- and early postoperative predictors of delirium risk in cardiac surgery: results from the prospective observational FINDERI study.

Background: Postoperative delirium (POD) is a severe complication following cardiac surgery and is associated with increased morbidity and mortality. The impact of intra- and early postoperative factors on the occurrence of POD following cardiac surgery remains controversial. To close this gap, we investigated intra- and early postoperative factors and their predictive values for POD.

Methods: We performed a prospective observational study that aimed to FIND DElirium RIsk factors (FINDERI) for patients undergoing elective cardiac surgery. POD was assessed using the Confusion Assessment Method algorithm. Intra- and early postoperative factors were extracted from electronic medical records and reviewed by cardiac surgeons. To identify potential predictors of POD, we used univariate and multivariate logistic regression along with machine learning (ML) with ten-fold cross-validation.

Results: In our study cohort of 490 patients, 106 screened positive for POD (21.6%). In the multivariate analysis, we found a positive association between POD occurrence and age ( P < 0.001), duration of surgery ( P = 0.027), combined (versus isolated) surgical procedures ( P = 0.024), opening of the cardiac chambers ( P = 0.046), and ventilation time ( P < 0.001). The ML-based decision tree identified a two level-algorithm including ventilation time and aortic cross-clamping time, with an AUC of 0.7116 ( P = 0.0002) in the validation set. In the ML-based LASSO regression analysis, we identified ventilation time, administration of erythrocyte concentrates (EC), and usage of cardiopulmonary bypass (CPB) as predictors of POD, with an AUC of 0.7407 ( P < 0.0001) in the validation set.

Conclusion: The results of this analysis highlight the associations between ventilation time, aortic cross-clamping time, administration of EC, and usage of CPB and POD. Additionally, they suggest that the optimization of surgical protocols has the potential to reduce POD risk in individuals undergoing cardiac surgery.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
17.70
自引率
3.30%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The International Journal of Surgery (IJS) has a broad scope, encompassing all surgical specialties. Its primary objective is to facilitate the exchange of crucial ideas and lines of thought between and across these specialties.By doing so, the journal aims to counter the growing trend of increasing sub-specialization, which can result in "tunnel-vision" and the isolation of significant surgical advancements within specific specialties.
×
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