Heart rate recovery may predict the presence of coronary artery disease

Heart rate recovery may predict the presence of coronary artery disease
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DOI:
10.5152/akd.2014.4824
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发表时间:
2014-06-01
影响因子:
1.3
通讯作者:
Guler, Niyazi
Guler, Niyazi
中科院分区:
医学4区
文献类型:
--
作者:
Akyuz, Aydin;Alpsoy, Seref;Guler, Niyazi

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目的:由于一些混杂的数据,我们研究运动后第一分钟心率异常恢复(HRR1)是否有助于预测CAD的存在和严重程度。方法:采用横断面、回顾性研究。其中包括200人。Gensini评分和冠状动脉受累的数量用于评估冠心病的严重程度。采用学生t检验、Mann-Whitney U检验和卡方检验对连续和分类数据进行分析。采用Spearman相关分析确定Gensini评分与HRR1是否存在相关性。采用单因素和多因素logistic回归确定HRR1异常的预测因素。采用ROC曲线分析,检测HRR1预测冠心病的最佳敏感性和特异性值。结果:70名受试者(35%)没有CAD, 130名患者(65%)存在CAD。HRR1 0.05), CAD存在与HRR1异常相关(OR=2.1, 95% CI: 1.1-3.9, p=0.02),但CAD严重程度与HRR1无相关性(r=-0.13, p=0.112)。HRR1异常的敏感性、特异性及阳性、阴性预测值
Objective: We investigated whether post-exercise first minute abnormal heart rate recovery (HRR1) helps to predict the presence and severity of CAD, because of some confounding data.Methods: A cross-sectional, retrospective study was performed. Two hundred individuals were included. Gensini scores and the number of coronary artery involvements were used to evaluate the severity of CAD. Student's t-test, Mann-Whitney U test and chi-square test were used for the analysis continuous and categorical data. Spearman's correlation analysis was used to determine whether there is correlation between Gensini scoring and HRR1. Univariate and multivariate logistic regression were used to determine predictors for abnormal HRR1. ROC curve analysis was performed to detect the best sensitivity and specificity value of HRR1 in predicting CAD presence.Results: Seventy subjects (35%) did not have CAD, and CAD was present in 130 patients (65%). HRR1 0.05), there was relationship CAD presence and abnormal HRR1 (OR=2.1, 95% CI: 1.1-3.9, p=0.02), but not between CAD severity and HRR1 (r=-0.13, p=0.112). The sensitivity, specificity, and the positive and negative predictive values of abnormal HRR1