Department of Cardiovascular Medicine, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Biomed Res Int. 2020 Dec 14;2020:7197054. doi: 10.1155/2020/7197054. eCollection 2020.
To investigate the relationship between the atherogenic index of plasma (AIP) and ischemic stroke.
We collected a range of data from 11,495 residents (aged ≥35 years; 54.28% female) residing in rural areas of northeast China between January and August 2013, including fasting lipid profile and anthropometric parameters. Logistic regression models were used to evaluate the correlation between AIP and ischemic stroke. Category-free analysis was used to determine whether AIP enhanced our capacity to estimate ischemic stroke.
Irrespective of gender, AIP was independently associated with the occurrence of ischemic stroke. The prevalence of ischemic stroke increased significantly from the lowest quartile to the highest quartile (females: 10.5%-48.7%, < 0.001; males: 22.0%-36.5%, = 0.08). After adjusting for age, gender, income, education, smoking, drinking, exercise, hypertension, body mass index (BMI), diabetes, atrial fibrillation, and a family history of stroke, we found that for every 1 standard deviation (SD) increase in AIP, there was a 34.8% and 20.9% increase in the prevalence of stroke for females and males, respectively. Curve fitting was also used to evaluate the linear relationship between AIP and the occurrence of ischemic stroke. Category-free analysis indicated that AIP significantly enhanced our ability to estimate ischemic stroke in both females (NRI (95% confidence interval (CI)): 0.188 (0.105-0.270)) and males (NRI (95% CI): 0.175 (0.017-0.333)).
Analyses detected a significant and positive linear relationship between AIP and the prevalence of ischemic stroke. This relationship was independent of a range of conventional risk factors.
探讨血浆致动脉粥样硬化指数(AIP)与缺血性脑卒中的关系。
我们收集了 2013 年 1 月至 8 月期间中国东北地区农村地区 11495 名(年龄≥35 岁;女性占 54.28%)居民的一系列数据,包括空腹血脂谱和人体测量参数。采用 logistic 回归模型评估 AIP 与缺血性脑卒中的相关性。采用无类别分析来确定 AIP 是否增强了我们对缺血性脑卒中的估计能力。
无论性别如何,AIP 均与缺血性脑卒中的发生独立相关。女性缺血性脑卒中的患病率从最低四分位数到最高四分位数显著增加(10.5%-48.7%,<0.001);男性则从 22.0%-36.5%增加(=0.08)。在调整年龄、性别、收入、教育、吸烟、饮酒、运动、高血压、体重指数(BMI)、糖尿病、心房颤动和脑卒中家族史后,我们发现 AIP 每增加 1 个标准差(SD),女性和男性的脑卒中患病率分别增加 34.8%和 20.9%。曲线拟合也用于评估 AIP 与缺血性脑卒中发生之间的线性关系。无类别分析表明,AIP 显著提高了我们对女性(NRI(95%置信区间(CI)):0.188(0.105-0.270))和男性(NRI(95% CI):0.175(0.017-0.333))缺血性脑卒中的估计能力。
分析发现 AIP 与缺血性脑卒中的患病率之间存在显著的正线性关系。这种关系独立于一系列传统的危险因素。