推导和验证在加拿大安大略省等待心脏手术的患者中预测死亡的临床风险评分:一项基于人群的研究

CMAJ open Pub Date : 2022-01-01 DOI:10.9778/cmajo.20210031
Louise Y. Sun, H. Wijeysundera, Douglas S. Lee, S. van Diepen, M. Ruel, A. Eddeen, T. Mesana
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引用次数: 0

摘要

背景:手术延迟可能会对需要心脏手术的患者造成意想不到的伤害,如果不及时治疗,他们有死亡的危险。我们的目的是推导并内部验证临床风险评分,以预测等待大心脏手术的患者的死亡。方法:我们使用CorHealth Ontario Registry,并将ICES健康管理数据库与所有安大略省居民的信息相关联,以确定2008年10月1日至2019年9月30日期间转介进行孤立冠状动脉旁路移植术(CABG)、瓣膜手术、CABG -瓣膜联合手术或胸主动脉手术的18岁或以上患者。我们使用随机森林方法的混合建模方法进行初始变量选择,然后使用反向逐步逻辑回归模型进行临床可解释性和简约性。我们内部验证了逻辑回归模型,称为CardiOttawa候补名单死亡率评分,使用200个bootstrap。结果:在112 266例转诊心脏手术患者中,269例(0.2%)在等待手术期间死亡(118/72 366例(0.2%),81/24 461例(0.3%),63/12 046例(0.5%)联合冠脉搭桥-瓣膜搭桥手术和7/3393例(0.2%)胸主动脉手术)。年龄、性别、手术类型、左主干狭窄、加拿大心血管学会分类、左心室射血分数、心力衰竭、心房颤动、透析、精神疾病和手术优先级是等候名单死亡率的预测因素。该模型判别(c统计量0.76[乐观修正0.73])。它在整个队列(Hosmer-Lemeshow p = 0.2)和手术类型中校准良好。解读:CardiOttawa等候名单死亡率评分是一个简单的临床风险模型,可以预测等待心脏手术期间死亡的可能性。在2019冠状病毒病大流行期间、恢复期及以后,它有可能为管理获得心脏护理提供数据驱动的决策支持,并保持系统能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Derivation and validation of a clinical risk score to predict death among patients awaiting cardiac surgery in Ontario, Canada: a population-based study
Background: Surgical delay may result in unintended harm to patients needing cardiac surgery, who are at risk for death if their condition is left untreated. Our objective was to derive and internally validate a clinical risk score to predict death among patients awaiting major cardiac surgery. Methods: We used the CorHealth Ontario Registry and linked ICES health administrative databases with information on all Ontario residents to identify patients aged 18 years or more who were referred for isolated coronary artery bypass grafting (CABG), valvular procedures, combined CABG–valvular procedures or thoracic aorta procedures between Oct. 1, 2008, and Sept. 30, 2019. We used a hybrid modelling approach with the random forest method for initial variable selection, followed by backward stepwise logistic regression modelling for clinical interpretability and parsimony. We internally validated the logistic regression model, termed the CardiOttawa Waitlist Mortality Score, using 200 bootstraps. Results: Of the 112 266 patients referred for cardiac surgery, 269 (0.2%) died while awaiting surgery (118/72 366 [0.2%] isolated CABG, 81/24 461 [0.3%] valvular procedures, 63/12 046 [0.5%] combined CABG–valvular procedures and 7/3393 [0.2%] thoracic aorta procedures). Age, sex, surgery type, left main stenosis, Canadian Cardiovascular Society classification, left ventricular ejection fraction, heart failure, atrial fibrillation, dialysis, psychosis and operative priority were predictors of waitlist mortality. The model discriminated (C-statistic 0.76 [optimism-corrected 0.73]). It calibrated well in the overall cohort (Hosmer–Lemeshow p = 0.2) and across surgery types. Interpretation: The CardiOttawa Waitlist Mortality Score is a simple clinical risk model that predicts the likelihood of death while awaiting cardiac surgery. It has the potential to provide data-driven decision support for managing access to cardiac care and preserve system capacity during the COVID-19 pandemic, the recovery period and beyond.
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