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手臂运动负荷试验的预后评分系统。

A prognostic scoring system for arm exercise stress testing.

作者信息

Xie Yan, Xian Hong, Chandiramani Pooja, Bainter Emily, Wan Leping, Martin Wade H

机构信息

Clinical Epidemiology Center of the St. Louis Veterans Administration Medical Center, College of Public Health and Social Justice, St. Louis University , St. Louis, Missouri , USA.

Clinical Epidemiology Center of the St. Louis Veterans Administration Medical Center, College of Public Health and Social Justice, St. Louis University, St. Louis, Missouri, USA; Department of Biostatistics, College of Public Health and Social Justice, St. Louis University, St. Louis, Missouri, USA.

出版信息

Open Heart. 2016 Jan 12;3(1):e000333. doi: 10.1136/openhrt-2015-000333. eCollection 2016.

Abstract

OBJECTIVE

Arm exercise stress testing may be an equivalent or better predictor of mortality outcome than pharmacological stress imaging for the ≥50% for patients unable to perform leg exercise. Thus, our objective was to develop an arm exercise ECG stress test scoring system, analogous to the Duke Treadmill Score, for predicting outcome in these individuals.

METHODS

In this retrospective observational cohort study, arm exercise ECG stress tests were performed in 443 consecutive veterans aged 64.1 (11.1) years. (mean (SD)) between 1997 and 2002. From multivariate Cox models, arm exercise scores were developed for prediction of 5-year and 12-year all-cause and cardiovascular mortality and 5-year cardiovascular mortality or myocardial infarction (MI).

RESULTS

Arm exercise capacity in resting metabolic equivalents (METs), 1 min heart rate recovery (HRR) and ST segment depression ≥1 mm were the stress test variables independently associated with all-cause and cardiovascular mortality by step-wise Cox analysis (all p<0.01). A score based on the relation HRR (bpm)+7.3×METs-10.5×ST depression (0=no; 1=yes) prognosticated 5-year cardiovascular mortality with a C-statistic of 0.81 before and 0.88 after adjustment for significant demographic and clinical covariates. Arm exercise scores for the other outcome end points yielded C-statistic values of 0.77-0.79 before and 0.82-0.86 after adjustment for significant covariates versus 0.64-0.72 for best fit pharmacological myocardial perfusion imaging models in a cohort of 1730 veterans who were evaluated over the same time period.

CONCLUSIONS

Arm exercise scores, analogous to the Duke Treadmill Score, have good power for prediction of mortality or MI in patients who cannot perform leg exercise.

摘要

目的

对于无法进行腿部运动的患者,手臂运动负荷试验在预测死亡率方面可能与药物负荷成像效果相当甚至更好,对于死亡率≥50%的情况更是如此。因此,我们的目的是开发一种类似于杜克运动平板评分的手臂运动心电图负荷试验评分系统,用于预测这些个体的预后。

方法

在这项回顾性观察队列研究中,对1997年至2002年间连续纳入的443名年龄为64.1(11.1)岁(均值(标准差))的退伍军人进行了手臂运动心电图负荷试验。通过多变量Cox模型,开发了手臂运动评分,以预测5年和12年全因死亡率、心血管死亡率以及5年心血管死亡率或心肌梗死(MI)。

结果

通过逐步Cox分析,静息代谢当量(METs)表示的手臂运动能力、1分钟心率恢复(HRR)以及ST段压低≥1mm是与全因死亡率和心血管死亡率独立相关的负荷试验变量(所有p<0.01)。基于HRR(次/分钟)+7.3×METs - 10.5×ST段压低(0=否;1=是)关系的评分对5年心血管死亡率进行预后评估,在对显著的人口统计学和临床协变量进行调整之前,C统计量为0.81,调整后为0.88。在同一时期接受评估的1730名退伍军人队列中,针对其他结局终点的手臂运动评分在调整显著协变量之前C统计量值为0.77 - 0.79,调整后为0.82 - 0.86,而最佳拟合的药物心肌灌注成像模型的C统计量值为0.64 - 0.72。

结论

类似于杜克运动平板评分的手臂运动评分,在预测无法进行腿部运动患者的死亡率或心肌梗死方面具有良好的效能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edae/4716453/d43f8d37f61d/openhrt2015000333f01.jpg

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