不同中国冠心病患者最佳抗血小板治疗评分分层冠心病患者心肺运动试验相关指标特征
Characteristics of cardiopulmonary exercise testing in coronary artery disease patients stratified with different OPT-CAD scores
李宇珊 1任强 2韩帆 2张伊 2王圣熠 2王艳霞 2张剑 2梁延春 2张权宇2
作者信息
- 1. 锦州医科大学北部战区总医院联合培养基地,辽宁 沈阳 110016;北部战区总医院 心血管内科,辽宁 沈阳 110016
- 2. 北部战区总医院 心血管内科,辽宁 沈阳 110016
- 折叠
摘要
目的 探讨不同中国冠心病患者最佳抗血小板治疗(OPT-CAD)评分分层冠心病(CAD)患者心肺运动试验(CPET)相关指标的特征.方法 选取自2017 年1 月至2021 年1 月于北部战区总医院接受CPET的1 294 例CAD患者为研究对象.根据OPT-CAD评分将患者分为低危组(0～90 分;n =945)与中高危组(评分≥91 分;n =349).记录并比较两组患者CPET相关指标.结果 两组患者的峰值心率、峰值摄氧量、峰值公斤摄氧量、分钟最大通气量、氧通气当量、二氧化碳通气当量、二氧化碳通气当量斜率、呼吸储备、热身时长比较,差异均有统计学意义(P<0.05).结论 不同OPT-CAD评分分层CAD患者的CPET指标存在明显差异,OPT-CAD评分低危的CAD患者心肺功能较好.
Abstract
Objective To explore the characteristics of cardiopulmonary exercise testing(CPET)related indexes in patients with coro-nary heart disease(CAD)stratified by optimal antiplatelet therapy for Chinese patients with coronary artery disease(OPT-CAD)score.Methods A total of 1 294 CAD patients who received CPET in General Hospital of Northern Theater Command from January 2017 to January 2021 were selected as the study subjects.According to the OPT-CAD score,the patients were divided into low-risk group(0-90 points;n =945)and intermediate and high-risk group(score≥91;n =349).CPET related indexes were recorded and compared between the two groups.Results There were significant differences among the two groups in terms of peak heart rate,peak oxygen up-take,peak oxygen uptake per kilogram,maximum minute ventilation,oxygen ventilation equivalent,carbon dioxide ventilation equiva-lent,carbon dioxide ventilation equivalent slope,respiratory reserve,warm-up time(P<0.05).Conclusion There are significant differences in CPET parameters among CAD patients stratified by OPT-CAD score.CAD patients with low-risk OPT-CAD scores have better cardiopulmonary function.
关键词
冠心病/中国冠心病患者最佳抗血小板治疗评分/心肺运动试验/心脏康复Key words
Coronary artery disease/Optimal antiplatelet therapy for Chinese patients with coronary artery disease score/Car-diopulmonary exercise testing/Cardiac rehabilitation引用本文复制引用
基金项目
辽宁省科学技术计划项目(2022JH2/101500028)
出版年
2024
NETL
NSTL
万方数据