Cluster analysis of women's prodromal and acute myocardial infarction symptoms by race and other characteristics.
Cluster analysis of women's prodromal and acute myocardial infarction symptoms by race and other characteristics.
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DOI：
10.1097/jcn.0b013e3181cfba15
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发表时间：
2010-07
期刊：
影响因子：
--
通讯作者：
Yang S
中科院分区：
文献类型：
--
作者：
McSweeney JC;Cleves MA;Zhao W;Lefler LL;Yang S
结果：聚类分析产生了3个自然发生的集群的前驱和急性症状集。每个集群包含报告症状频率和严重程度增加的妇女。六个特征（年龄、种族、体重指数、心脏病个人史、糖尿病、吸烟状况）与聚类密切相关。身体质量指数是最重要的因素，在前驱症状分类，而年龄是急性symptoms.Conclusions：黑人女性年龄小于50岁更有可能报告频繁和激烈的前驱症状，而老年白色妇女报告最少。年轻、肥胖、糖尿病的黑人妇女报告的急性症状最多，而老年、非肥胖、非糖尿病的白色妇女报告的最少。症状群和妇女在这些集群的特点提供了有价值的诊断信息。需要对对照组进行进一步研究。
Results:Cluster analysis yielded 3 naturally occurring clusters for each of the prodromal and acute symptom sets. Each cluster contained women who reported increasing frequency and severity of symptoms. Six characteristics (age, race, body mass index, personal history of heart disease, diabetes, smoking status) were strongly associated with the clusters. Body mass index was the most important factor in classifying prodromal symptoms, whereas age was for acute symptoms.Conclusions:Black women younger than 50 years were more likely to report frequent and intense prodromal symptoms, whereas older white women reported the least. Younger, obese, diabetic black women reported the most acute symptoms, whereas older nonobese, nondiabetic white women reported the fewest. Symptom clusters and characteristics of women in these clusters provide valuable diagnostic information. Further research with a control group is needed.