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目的研究代谢综合征(MS)相关组分及其聚集模式在心脑血管疾病(CVD)事件中的预测作用。方法整群抽样社区20岁以上的本市常住居民,进行问卷调查、体格检查与生化检查;采用Framingham Risk Score(FRS)评估MS组分与聚集对CVD事件的预测作用。结果 MS各组分肥胖、高甘油三酯、高血压以及糖耐量异常的发生率分别是95.4%、89.5%、74.3%和21.3%,均高于普通人群(P﹤0.05)。MS的组分聚集以肥胖合并血脂紊乱及高血压模式最为常见,占65.46%。FRS对MS患者CVD风险评估高于MS高危人群组以及对照组;4种组分同时存在时CVD风险最大(P﹤0.05)。结论肥胖、高血脂与高血压是MS的主要聚集组分,加上高血糖或糖尿病的联合作用使CVD十年疾病风险加强;FRS对CVD中危和高危风险预测力强;应加强对高危人群肥胖的预防和患者的糖尿病二级预防。
Objective To study the predictive value of related components and their aggregation patterns of metabolic syndrome (MS) in cardiovascular and cerebrovascular diseases (CVD). Methods A cluster sampling community resident over the age of 20 was surveyed, examined by physical examination and biochemical tests. Framingham Risk Score (FRS) was used to assess the predictive value of MS components and aggregation on CVD events. Results The incidences of obesity, hypertriglyceridemia, hypertension and impaired glucose tolerance were 95.4%, 89.5%, 74.3% and 21.3% respectively in MS groups, which were higher than those in the general population (P <0.05). The components of MS were aggregated with obesity with dyslipidemia and hypertension pattern most commonly, accounting for 65.46%. The risk of CVD in MS patients was higher than that in MS high risk group and control group, and the risk of CVD was the highest (P <0.05). Conclusion Obesity, hyperlipidemia and hypertension are the main aggregating components of MS. Combined with hyperglycemia or diabetes, the risk of CVD ten-year disease is strengthened. FRS can predict the risk of CVD at medium and high risk. Prevention of obesity and secondary diabetes prevention in patients.