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原发性高血压伴阻塞性睡眠呼吸暂停低通气综合征患者心血管危险因素Logistic分析 被引量:5

Logistic analysis of the cardiovascular risk factors in essential hypertension patients complicated with obstructive sleep apnea hypopnea syndrome
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摘要 目的:调查原发性高血压(EH)伴阻塞性睡眠呼吸暂停低通气综合征(OSAHS)的心血管危险因素,为探讨心血管危险的预防措施提供借鉴。方法:将我院收治的132例EH伴OSAHS患者,按照是否发生心血管危险进行对比研究,采用问卷形式收集所有患者临床资料,统计分析导致心血管危险的单因素是否有显著意义,进行多因素Logistic分析,根据OR值判断更具有独立作用的高危因素。结果:10个调查因素中8个单因素进入多因素分析,非条件Logistic多因素回归分析统计显示,BMI(β=1.224,OR=1.922)、血压分级(β=1.119,OR=2.138)、OSAHS分度(β=1.415,OR=2.784)、高血脂(β=1.388,OR=1.763)、家族遗传病史(β=1.375,OR=1.863)是具有独立作用的高危因素。结论:EH伴OSAHS患者发生心血管危险的因素主要与血压分级、高血脂及家族遗传病史等相关,通过控制以上指标能显著降低心血管危险的发生率。 Objective: To investigate the cardiovascular risk factors in essential hypertension (EH) patients complicated with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods: Data of 132 pa- tients with EH complicated with OSAHS were comparatively analyzed according to occurrence of cardio- vascular risk events. Questionnaire was used to collect clinical data for statistical analysis; all the factors were given multi-factor logistic regression analysis in order to find out which factors played independent roles. Results: Among 11 factors, 8 factors were significantly associated with the cardiovascular risk, multivariate logistic regression revealed that factors including BMI (β= 1. 224, OR= 1. 922), blood pressure classification (β= 1. 119, OR= 2. 138), severity of OSAHS (β= 1. 415, OR = 2. 784), high cholesterol (β =1. 388, OR=I. 763), family genetic history (β=1. 375, OR=1. 863), were significant risk factors. Oon- clusions: Blood pressure classification, high cholesterol and family genetic history were risk factors related with the occurrence of cardiovascular risk events, prevention of these factors can decrease incidence of car- diovascular risk events.
作者 周绮 余振球
出处 《海南医学院学报》 CAS 2013年第12期1659-1662,共4页 Journal of Hainan Medical University
基金 中国高校医学期刊临床专项资金项目(112210882)~~
关键词 原发性高血压 阻塞性睡眠呼吸暂停低通气综合征 心血管危险因素 LOGISTIC分析 Essential hypertension Obstructive sleep apnea-hypopnea syndrome (OSAHS) Car-diovascular risk factors Logistic regression analysis
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