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冠状动脉疾病发展中主要危险因素之间的变量间关系分析:一种分类树方法。

Analysis of intervariable relationships between major risk factors in the development of coronary artery disease: a classification tree approach.

作者信息

Türe Mevlüt, Kurt Imran, Kürüm Turhan

机构信息

Department of Biostatistics, Medical Faculty, Trakya University, Edirne, Turkey.

出版信息

Anadolu Kardiyol Derg. 2007 Jun;7(2):140-5.

PMID:17513208
Abstract

OBJECTIVE

The purpose of this study is to determine how the major risk factors are related to each other in the development of coronary artery disease (CAD) using Chi-squared Automatic Interaction Detection (CHAID).

METHODS

All patients with suspected CAD seen in the cardiology clinic between January 1999 and February 2003 who underwent coronary angiography were included in the study. A retrospective analysis was performed in 1381 patients. In all patients' sex, age, type II diabetes mellitus, hypercholesterolemia, systemic hypertension, smoking status, family history of CAD, body mass index (BMI) were assessed.

RESULTS

According to classification tree, first-level split produced the two initial branches: female (unadjusted presence percentage = 48.07%) versus male (unadjusted presence percentage = 78.02%). For the male aged between 49-81 years and the female aged between 15-48, 49-60 and 61-71 years, diabetes mellitus was the most prominent risk factor. However, hypercholesterolemia was the best predicting variable for the females aged between 72-81 years. For the females of 15-48 years and 49-60 years age categories without diabetes mellitus, smoking status and family history of CAD had important contribution to the model.

CONCLUSION

Sorting the major risk factors of CAD from the most to least according to the classification importance was resulted as sex, age, diabetes mellitus, hypercholesterolemia, family history of CAD and smoking status.

摘要

目的

本研究旨在使用卡方自动交互检测法(CHAID)确定冠状动脉疾病(CAD)发生过程中主要危险因素之间的相互关系。

方法

纳入1999年1月至2003年2月在心脏病诊所就诊并接受冠状动脉造影的所有疑似CAD患者。对1381例患者进行回顾性分析。评估所有患者的性别、年龄、2型糖尿病、高胆固醇血症、系统性高血压、吸烟状况、CAD家族史、体重指数(BMI)。

结果

根据分类树,一级划分产生了两个初始分支:女性(未调整存在百分比 = 48.07%)与男性(未调整存在百分比 = 78.02%)。对于年龄在49 - 81岁的男性以及年龄在15 - 48岁、49 - 60岁和61 - 71岁的女性,糖尿病是最突出的危险因素。然而,高胆固醇血症是72 - 81岁女性的最佳预测变量。对于15 - 48岁和49 - 60岁无糖尿病的女性,吸烟状况和CAD家族史对模型有重要贡献。

结论

根据分类重要性将CAD的主要危险因素从最重要到最不重要排序,结果为性别、年龄、糖尿病、高胆固醇血症、CAD家族史和吸烟状况。

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