Atherogenic index of plasma is associated with major adverse cardiovascular events in patients with type 2 diabetes mellitus.
Atherogenic index of plasma is associated with major adverse cardiovascular events in patients with type 2 diabetes mellitus.
复制标题
血浆致动脉粥样硬化指数与 2 型糖尿病患者的主要不良心血管事件相关。
DOI：
10.1186/s12933-021-01393-5
复制
发表时间：
2021-10-05
影响因子：
9.3
通讯作者：
Tai S
中科院分区：
文献类型：
--
作者：
Fu L;Zhou Y;Sun J;Zhu Z;Xing Z;Zhou S;Wang Y;Tai S
先前的研究报道了血浆致动脉粥样硬化指数（AIP）在动脉粥样硬化和其他心血管疾病（CVD）过程中的预后价值。尽管如此，AIP 在 2 型糖尿病 (T2DM) 患者中的预测效用尚不清楚。这是对控制糖尿病心血管风险行动 (ACCORD) 研究的二次分析，该研究对 10,251 名长期 T2DM 患者进行了随机分组。采用ROC曲线分析确定AIP的最佳阈值，并将研究人群分为高AIP组和低AIP组。使用单变量和多变量 Cox 比例风险回归分析来确定 AIP 与主要结局（主要不良心血管事件 [MACE]，包括非致命性心肌梗死、非致命性卒中和/或心血管原因死亡）和次要结局（全因死亡率）之间的关联。进行分层分析以控制混杂因素。 AIP是T2DM预后的独立危险因素（HR = 1.309；95% CI 1.084–1.581；P = 0.005）。研究人群中 AIP 的阈值确定为 0.34。调整混杂因素后，多变量分析显示AIP与MACE风险相关（模型1：HR = 1.333，95% CI 1.205–1.474，P < 0.001；模型2：HR = 1.171，95% CI 1.030–1.333， P = 0.016；模型3：HR = 1.194，95% CI 1.049–1.360，P = 0.007），全因死亡率（模型1：HR = 1.184，95% CI 1.077–1.303， P < 0.001），心血管死亡（模型1：HR = 1.422，95% CI 1.201–1.683，P < 0.001；模型3：HR = 1.264，95% CI 1.015–1.573， P = 0.036）和非致命性心肌梗死（模型 1：HR = 1.447，95% CI 1.255–1.669，P < 0.001；模型 2：HR = 1.252，95% CI 1.045–1.499， P = 0.015；模型3：HR = 1.284，95% CI 1.071–1.539，P = 0.007）。亚组分层分析表明，AIP 可能与性别相互作用，而性别是心血管事件的经典危险因素。这项研究表明，AIP 可能是一个强有力的生物标志物，可用于预测 T2DM 患者心血管事件的风险。试验注册： URL：http://www.clinicaltrials.gov。唯一标识符：NCT00000620。在线版本包含可在 10.1186/s12933-021-01393-5 获取的补充材料。
Previous studies reported the prognostic value of the atherogenic index of plasma (AIP) in the course of atherosclerosis and other cardiovascular diseases (CVDs). Still, the predictive utility of the AIP is unknown among patients with type 2 diabetes mellitus (T2DM). This was a secondary analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study, which randomized 10,251 patients with long-lasting T2DM. ROC curve analysis was used to determine an optimal threshold for AIP, and the study population was divided into high and low AIP groups. Univariable and multivariable Cox proportional hazards regression analyses were used to determine the association between AIP and primary (major adverse cardiovascular events [MACEs], including nonfatal myocardial infarction, nonfatal stroke, and/or death from cardiovascular causes) and secondary outcomes (all-cause mortality). Stratified analyses were performed to control for the confounding factors. AIP was an independent risk factor for the prognosis of T2DM (HR = 1.309; 95% CI 1.084–1.581; P = 0.005). The threshold for AIP was determined to be 0.34 in the study population. After adjustments for confounding factors, multivariable analysis showed that AIP was associated with the risk of MACEs (Model 1: HR = 1.333, 95% CI 1.205–1.474, P < 0.001; Model 2: HR = 1.171, 95% CI 1.030–1.333, P = 0.016; Model 3: HR = 1.194, 95% CI 1.049–1.360, P = 0.007), all-cause mortality (Model 1: HR = 1.184, 95% CI 1.077–1.303, P < 0.001), cardiovascular death (Model 1: HR = 1.422, 95% CI 1.201–1.683, P < 0.001; Model 3: HR = 1.264, 95% CI 1.015–1.573, P = 0.036), and nonfatal myocardial infarction (Model 1: HR = 1.447, 95% CI 1.255–1.669, P < 0.001; Model 2: HR = 1.252, 95% CI 1.045–1.499, P = 0.015; Model 3: HR = 1.284, 95% CI 1.071–1.539, P = 0.007). Subgroup stratified analyses showed that AIP might interact with sex, a classical risk factor of cardiovascular events. This study showed that AIP might be a strong biomarker that could be used to predict the risk of cardiovascular events in patients with T2DM. Trial registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000620. The online version contains supplementary material available at 10.1186/s12933-021-01393-5.
登录
查看更多内容
影响因子：
16.2
作者：
Cefalu, William T.;Berg, Erika Gebel;Robinson, Shamera
通讯作者：
Robinson, Shamera
影响因子：
5.1
作者：
Guariguata, L.;Whiting, D. R.;Shaw, J. E.
通讯作者：
Shaw, J. E.
影响因子：
2.8
作者：
Wang, Luzhao;Chen, Fangyao;Zijie, Li
通讯作者：
Zijie, Li
影响因子：
7.7
作者：
Fernandez-Macias, Juan C.;Ochoa-Martinez, Angeles C.;Perez-Maldonado, Ivan N.
通讯作者：
Perez-Maldonado, Ivan N.
影响因子：
11.1
作者：
Salazar, M. R.;Carbajal, H. A.;Reaven, G. M.
通讯作者：
Reaven, G. M.