Prevalence, Treatment Patterns and Control Rates of Metabolic Syndrome in a Chinese Diabetic Population: CCMR-3B Study.

JOURNAL OF DIABETES INVESTIGATION(2018)

引用 13|浏览7
暂无评分
摘要
Aims/IntroductionTo investigate the prevalence and risk factors of metabolic syndrome (MetS) in Chinese type 2 diabetes mellitus patients, and assess the effect of MetS on the treatment patterns and blood glucose, blood pressure and blood lipids goal achievements. Materials and MethodsData from 25,454 type 2 diabetes mellitus patients including demographic data, anthropometric measurements, treatment patterns, and blood glucose and lipid profiles were retrospectively analyzed. ResultsUsing modified Adult Treatment Panel III MetS criteria, the prevalence of MetS was 57.4% in type 2 diabetes mellitus patients. Multivariable logistic regression analysis showed that type 2 diabetes mellitus patients, who also fulfilled the criteria for MetS, tended to be women, living in the northeast, with a diabetes duration 5 years and leading a sedentary lifestyle. Most MetS (53.4%) and non-MetS (57%) diabetes patients received oral hypoglycemic drugs. Insulin or insulin combination therapies were more applied in MetS (37.5%) than in non-MetS (33.1%) diabetes patients, and the percentages of MetS diabetes patients receiving antihypertensive and lipid-modulating drugs were 52.9% and 28.2% vs 38.3% and 19.3% of the non-MetS diabetes patients. Just 37.5%, 15.6% and 32.9% of the MetS diabetes patients vs 54.6%, 45.6% and 40.4% of the non-MetS diabetes patients achieved the individual target goals for control of blood glucose (glycosylated hemoglobin <7%), blood pressure (systolic blood pressure <130 mmHg, diastolic blood pressure <80 mmHg) and blood lipids (total cholesterol <4.5 mmol/L), whereas just 2.1% achieved all three target goals. ConclusionsMetS with a high prevalence in Chinese type 2 diabetes mellitus patients is associated with poor blood glucose, blood pressure and blood lipids control rate.
更多
查看译文
关键词
Blood lipids,Diabetes mellitus,Metabolic syndrome
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要