• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

心脏瓣膜手术的通用、简单风险分层模型。

Generic, simple risk stratification model for heart valve surgery.

作者信息

Ambler Gareth, Omar Rumana Z, Royston Patrick, Kinsman Robin, Keogh Bruce E, Taylor Kenneth M

机构信息

Department of Statistical Science, University College, London, UK.

出版信息

Circulation. 2005 Jul 12;112(2):224-31. doi: 10.1161/CIRCULATIONAHA.104.515049. Epub 2005 Jul 5.

DOI:10.1161/CIRCULATIONAHA.104.515049
PMID:15998680
Abstract

BACKGROUND

Heart valve surgery has an associated in-hospital mortality rate of 4% to 8%. This study aims to develop a simple risk model to predict the risk of in-hospital mortality for patients undergoing heart valve surgery to provide information to patients and clinicians and to facilitate institutional comparisons.

METHODS AND RESULTS

Data on 32,839 patients were obtained from the Society of Cardiothoracic Surgeons of Great Britain and Ireland on patients who underwent heart valve surgery between April 1995 and March 2003. Data from the first 5 years (n=16,679) were used to develop the model; its performance was evaluated on the remaining data (n=16,160). The risk model presented here is based on the combined data. The overall in-hospital mortality was 6.4%. The risk model included, in order of importance (all P<0.01), operative priority, age, renal failure, operation sequence, ejection fraction, concomitant tricuspid valve surgery, type of valve operation, concomitant CABG surgery, body mass index, preoperative arrhythmias, diabetes, gender, and hypertension. The risk model exhibited good predictive ability (Hosmer-Lemeshow test, P=0.78) and discriminated between high- and low-risk patients reasonably well (receiver-operating characteristics curve area, 0.77).

CONCLUSIONS

This is the first risk model that predicts in-hospital mortality for aortic and/or mitral heart valve patients with or without concomitant CABG. Based on a large national database of heart valve patients, this model has been evaluated successfully on patients who had valve surgery during a subsequent time period. It is simple to use, includes routinely collected variables, and provides a useful tool for patient advice and institutional comparisons.

摘要

背景

心脏瓣膜手术的院内死亡率为4%至8%。本研究旨在开发一种简单的风险模型,以预测接受心脏瓣膜手术患者的院内死亡风险,为患者和临床医生提供信息,并便于机构间比较。

方法与结果

从大不列颠及爱尔兰心胸外科医师协会获取了1995年4月至2003年3月期间接受心脏瓣膜手术患者的32839例数据。前5年的数据(n = 16679)用于构建模型;其性能在其余数据(n = 16160)上进行评估。此处呈现的风险模型基于合并后的数据。总体院内死亡率为6.4%。风险模型按重要性顺序包括(所有P<0.01):手术优先级、年龄、肾衰竭、手术顺序、射血分数、同期三尖瓣手术、瓣膜手术类型、同期冠状动脉旁路移植术(CABG)手术、体重指数、术前心律失常、糖尿病、性别和高血压。该风险模型具有良好的预测能力(Hosmer-Lemeshow检验,P = 0.78),并且能较好地区分高风险和低风险患者(受试者操作特征曲线面积,0.77)。

结论

这是首个预测有或无同期CABG的主动脉和/或二尖瓣心脏瓣膜患者院内死亡率的风险模型。基于一个大型的全国心脏瓣膜病患者数据库,该模型已在随后一段时间内接受瓣膜手术的患者中成功评估。它使用简单,包含常规收集的变量,为患者咨询和机构间比较提供了一个有用的工具。

相似文献

1
Generic, simple risk stratification model for heart valve surgery.心脏瓣膜手术的通用、简单风险分层模型。
Circulation. 2005 Jul 12;112(2):224-31. doi: 10.1161/CIRCULATIONAHA.104.515049. Epub 2005 Jul 5.
2
A multi-centre additive and logistic risk model for in-hospital mortality following aortic valve replacement.一种用于主动脉瓣置换术后院内死亡的多中心相加和逻辑风险模型。
Eur J Cardiothorac Surg. 2007 Apr;31(4):607-13. doi: 10.1016/j.ejcts.2006.12.035. Epub 2007 Feb 6.
3
The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 3--valve plus coronary artery bypass grafting surgery.胸外科医师协会2008年心脏手术风险模型:第3部分——瓣膜置换加冠状动脉搭桥手术
Ann Thorac Surg. 2009 Jul;88(1 Suppl):S43-62. doi: 10.1016/j.athoracsur.2009.05.055.
4
Multivariable prediction of in-hospital mortality associated with aortic and mitral valve surgery in Northern New England.新英格兰北部主动脉和二尖瓣手术相关院内死亡率的多变量预测
Ann Thorac Surg. 2004 Jun;77(6):1966-77. doi: 10.1016/j.athoracsur.2003.12.035.
5
Do we need separate risk stratification models for hospital mortality after heart valve surgery?心脏瓣膜置换术后医院死亡率是否需要单独的风险分层模型?
Ann Thorac Surg. 2008 Mar;85(3):921-30. doi: 10.1016/j.athoracsur.2007.11.074.
6
Does EuroSCORE predict length of stay and specific postoperative complications after cardiac surgery?欧洲心脏手术风险评估系统(EuroSCORE)能否预测心脏手术后的住院时间及特定术后并发症?
Eur J Cardiothorac Surg. 2005 Jan;27(1):128-33. doi: 10.1016/j.ejcts.2004.09.020.
7
The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 2--isolated valve surgery.胸外科医师协会2008年心脏手术风险模型:第2部分——单纯瓣膜手术
Ann Thorac Surg. 2009 Jul;88(1 Suppl):S23-42. doi: 10.1016/j.athoracsur.2009.05.056.
8
Risk index for predicting in-hospital mortality for cardiac valve surgery.预测心脏瓣膜手术院内死亡率的风险指数。
Ann Thorac Surg. 2007 Mar;83(3):921-9. doi: 10.1016/j.athoracsur.2006.09.051.
9
Logistic risk model predicting postoperative respiratory failure in patients undergoing valve surgery.预测瓣膜手术患者术后呼吸衰竭的逻辑风险模型。
Eur J Cardiothorac Surg. 2008 Nov;34(5):953-9. doi: 10.1016/j.ejcts.2008.07.061. Epub 2008 Oct 2.
10
Bedside tool for predicting the risk of postoperative dialysis in patients undergoing cardiac surgery.预测心脏手术患者术后透析风险的床边工具。
Circulation. 2006 Nov 21;114(21):2208-16; quiz 2208. doi: 10.1161/CIRCULATIONAHA.106.635573. Epub 2006 Nov 6.

引用本文的文献

1
Vasoactive-ventilation-renal (VVR) score: A potential tool for predicting early postoperative outcomes in adult mitral valve surgery.血管活性-通气-肾脏(VVR)评分:预测成人二尖瓣手术早期术后结局的潜在工具。
J Anaesthesiol Clin Pharmacol. 2024 Jul-Sep;40(3):486-490. doi: 10.4103/joacp.joacp_210_23. Epub 2024 Mar 28.
2
Impact of sex on long-term outcomes following mitral valve repair.性别对二尖瓣修复术后长期预后的影响。
Am Heart J Plus. 2021 Mar 9;1:100004. doi: 10.1016/j.ahjo.2021.100004. eCollection 2021 Jan.
3
Prevalence and impact of diabetes in patients with valvular heart disease.
瓣膜性心脏病患者中糖尿病的患病率及影响
iScience. 2024 Feb 1;27(3):109084. doi: 10.1016/j.isci.2024.109084. eCollection 2024 Mar 15.
4
Meta-Analysis Global Group in Chronic Heart Failure score for the prediction of mortality in valvular heart disease.Meta 分析全球慢性心力衰竭组评分对瓣膜性心脏病患者死亡率的预测。
ESC Heart Fail. 2024 Feb;11(1):349-365. doi: 10.1002/ehf2.14586. Epub 2023 Nov 27.
5
The Role of «Novel» Biomarkers of Systemic Inflammation in the Development of Early Hospital Events after Aortic Valve Replacement in Patients with Aortic Stenosis.全身炎症“新型”生物标志物在主动脉瓣狭窄患者主动脉瓣置换术后早期医院事件发生中的作用
Life (Basel). 2023 Jun 14;13(6):1395. doi: 10.3390/life13061395.
6
Anticoagulation therapy and clinical outcomes following transcatheter mitral valve repair for patients with mitral regurgitation: A meta-analysis.经导管二尖瓣修复术治疗二尖瓣反流患者的抗凝治疗与临床结局:一项荟萃分析。
Clin Cardiol. 2023 Jun;46(6):598-606. doi: 10.1002/clc.24017. Epub 2023 Apr 10.
7
An In-Hospital Mortality Risk Model for Elderly Patients Undergoing Cardiac Valvular Surgery Based on LASSO-Logistic Regression and Machine Learning.基于LASSO逻辑回归和机器学习的老年心脏瓣膜手术患者院内死亡风险模型
J Cardiovasc Dev Dis. 2023 Feb 17;10(2):87. doi: 10.3390/jcdd10020087.
8
Proposed Risk Score in Patients with Aortic Stenosis Submitted to Valve Replacement Surgery.主动脉瓣狭窄患者行瓣膜置换术的风险评分。
Braz J Cardiovasc Surg. 2023 Apr 23;38(2):219-226. doi: 10.21470/1678-9741-2022-0254.
9
A systemic congestive index (systemic pulse pressure to central venous pressure ratio) predicts adverse outcomes in patients undergoing valvular heart surgery.系统性充血指数(系统脉压与中心静脉压比值)可预测瓣膜性心脏病手术患者的不良结局。
J Card Surg. 2022 Oct;37(10):3259-3266. doi: 10.1111/jocs.16772. Epub 2022 Jul 17.
10
Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients.主动脉瓣狭窄患者主动脉瓣置换术后的死亡预测因素
Pathophysiology. 2022 Mar 9;29(1):106-117. doi: 10.3390/pathophysiology29010010.