Nonalcoholic Fatty Liver Disease and Associated Metabolic Risks of Hypertension in Type 2 Diabetes: A Cross-Sectional Community-Based Study.
Xiaoying DingYing XuYu-Fan WangXiaohua LiChunhua LuJing SuYuhang MaYuting ChenYanhua YinLijun ZhangYong WuYaqiong JinLijun ZhengSongmei XuXiuli ZhuJilin MaLihua YuJunyi JiangNaisi ZhaoQingwu YanAndrew S GreenbergQianfang HuangQian RenHaiyan SunMingyu GuLi ZhaoYunhong HuangYijie WuChunxian QianYongde PengPublished in: International journal of endocrinology (2017)
The mechanisms facilitating hypertension in diabetes still remain to be elucidated. Nonalcoholic fatty liver disease (NAFLD), which is a higher risk factor for insulin resistance, shares many predisposing factors with diabetes. However, little work has been performed on the pathogenesis of hypertension in type 2 diabetes (T2DM) with NAFLD. The aim of this study is to investigate the prevalence of hypertension in different glycemic statuses and to analyze relationships between NAFLD, metabolic risks, and hypertension within a large community-based population after informed written consent. A total of 9473 subjects aged over 45 years, including 1648 patients with T2DM, were enrolled in this cross-sectional study. Clinical and biochemical parameters of all participants were determined. The results suggested that the patients with prediabetes or T2DM were with higher risks to have hypertension. T2DM with NAFLD had significantly higher levels of blood pressure, triglyceride, uric acid, and HOMA-IR than those without NAFLD. Data analyses suggested that hypertriglyceridemia [OR = 1.773 (1.396, 2.251)], NAFLD [OR = 2.344 (1.736, 3.165)], hyperuricemia [OR = 1.474 (1.079, 2.012)], and insulin resistance [OR = 1.948 (1.540, 2.465)] were associated with the higher prevalence of hypertension independent of other metabolic risk factors in type 2 diabetes. Further studies are needed to focus on these associations.
Keyphrases
- blood pressure
- type diabetes
- glycemic control
- insulin resistance
- risk factors
- uric acid
- cardiovascular disease
- hypertensive patients
- heart rate
- metabolic syndrome
- skeletal muscle
- blood glucose
- high fat diet
- machine learning
- climate change
- weight loss
- polycystic ovary syndrome
- artificial intelligence
- arterial hypertension