1 Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL.
2 Department of Epidemiology College of Public Health and Health Professions University of Florida Gainesville FL.
J Am Heart Assoc. 2018 Aug 21;7(16):e009754. doi: 10.1161/JAHA.118.009754.
Background Type 2 diabetes mellitus (T2 DM ) is considered a cardiovascular disease ( CVD ) risk equivalent, thereby linking assessment of cardiometabolic risk with that of CVD risk over time. Our goal was to determine how commonly used CVD risk scores and metabolic syndrome (MetS) severity performed in predicting T2 DM with and without ultimate CVD . Methods and Results We assessed data from 8273 participants of the ARIC (Atherosclerosis Risk in Communities) Study, using the pooled cohort atherosclerotic CVD risk score, the Framingham Risk Score, and a MetS severity Z score to assess their association with future risk for CVD alone, T2 DM alone, or both over 20 years of follow-up. Baseline levels of all scores were significantly associated with isolated incident T2 DM (odds ratios [ OR s] for each 1- SD increase: atherosclerotic CVD =1.7, Framingham risk score=1.7, MetS Z score=5.1). All 3 baseline scores were also significantly associated with isolated incident CVD (atherosclerotic CVD OR =2.4, Framingham risk score OR =2.3, MetS Z-score OR =1.8), with the 2 CVD scores remaining significant independent of MetS severity. MetS severity was strongly associated with future T2 DM leading to CVD (MetS Z-score OR =7.0, atherosclerotic CVD OR =3.9, Framingham risk score OR =3.5). Furthermore, changes in MetS severity were independently associated with future T2 DM - CVD progression. Conclusions CVD risk scores are associated with risk for future isolated T2 DM in addition to isolated CVD . However, MetS severity (both baseline and changes over time) was more strongly associated with T2 DM , including T2 DM ultimately leading to CVD . Following MetS severity within patients over time may identify those at greatest risk of combined cardiometabolic disease.
背景 2 型糖尿病(T2DM)被认为是心血管疾病(CVD)的等效风险因素,因此随着时间的推移,将心脏代谢风险评估与 CVD 风险评估联系起来。我们的目标是确定常用的 CVD 风险评分和代谢综合征(MetS)严重程度在预测有无最终 CVD 的 T2DM 中的应用情况。
方法和结果 我们评估了 ARIC(社区动脉粥样硬化风险)研究 8273 名参与者的数据,使用汇总队列动脉粥样硬化性 CVD 风险评分、Framingham 风险评分和 MetS 严重程度 Z 评分来评估它们与未来 CVD 单独、T2DM 单独或两者在 20 年随访期间的关联。所有评分的基线水平与孤立性 T2DM 事件显著相关(每增加 1 个标准差的优势比[OR]:动脉粥样硬化性 CVD =1.7、Framingham 风险评分=1.7、MetS Z 评分=5.1)。所有 3 个基线评分也与孤立性 CVD 事件显著相关(动脉粥样硬化性 CVD OR =2.4、Framingham 风险评分 OR =2.3、MetS Z 评分 OR =1.8),2 个 CVD 评分仍然独立于 MetS 严重程度显著。MetS 严重程度与未来导致 CVD 的 T2DM 密切相关(MetS Z 评分 OR =7.0、动脉粥样硬化性 CVD OR =3.9、Framingham 风险评分 OR =3.5)。此外,MetS 严重程度的变化与未来 T2DM-CVD 进展独立相关。
结论 CVD 风险评分与未来孤立性 T2DM 以及孤立性 CVD 的风险相关。然而,MetS 严重程度(包括基线和随时间的变化)与 T2DM 的相关性更强,包括最终导致 CVD 的 T2DM。随着时间的推移,在患者中监测 MetS 严重程度可能会识别出那些患有合并性心脏代谢疾病风险最高的患者。