Prevalence and clinical risk prediction of hypertriglyceridaemia in a community cohort

Internal medicine journal(2023)

引用 1|浏览13
暂无评分
摘要
Background Hypertriglyceridaemia (HTG; defined as >= 1.7 mmol/L) has a prevalence of 18-33% with significant inter-regional variation. Despite meta-analysis demonstrating its association with increased risk of cardiovascular disease, only 40% of HTG is identified in the community resulting in underutilisation of lipid-lowering therapy and specialist clinics. An increase in awareness of its clinical risk factors is needed to improve the identification and management of HTG to prevent cardiovascular risk. Aims To evaluate the prevalence, distribution and clinical predictors of HTG >= 1.7 mmol/L in a representative community group. Methods Data were obtained from the Hunter Community Study (HCS), a longitudinal cohort of community-dwelling men and women aged 55-85 years residing in Newcastle, New South Wales. Fasting triglycerides were identified based on the availability of fasting blood glucose level and categorised according to normal (<1.7 mmol/L), mild (1.7 to <2.3 mmol/L) and moderate-severe HTG (>= 2.3 mmol/L). Clinical predictors of HTG were assessed using linear and logistic regression models. Results Of 2536 triglyceride levels, 2216 (87%) were in a fasting state and included in the study. Three hundred and two (13.6%) participants had mild HTG and 221 (10.0%) participants had moderate-severe HTG. Significant clinical predictors of HTG included male gender, increasing body mass index, current smoking, decreasing daily step counts, increasing fasting glucose and higher thyroid-stimulating hormone. Alcohol intake and blood pressure were not significant in either adjusted regression model. Conclusions HTG >= 1.7 mmol/L is common, affecting 24% of the HCS. Clinical predictors identify modifiable risk factors for cardiovascular risk management. Clinician education to promote awareness is required to improve patient outcomes.
更多
查看译文
关键词
hypertriglyceridaemia,triglyceride,hyperlipidaemia,cross-sectional study,prevalence
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