Wang Xin, Wu Lili, Shu Peng, Yu Wei, Yu Wangfang
Department of Neurosurgery, Beilun District People's Hospital, Ningbo, Zhejiang, China.
The Center of Medical Imaging Diagnosis, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui.
PLoS One. 2024 Dec 19;19(12):e0315396. doi: 10.1371/journal.pone.0315396. eCollection 2024.
To evaluate the associations of three atherosclerosis indexes with stroke in a population aged 65 years and older.
A sample was obtained from wave 2011 to wave 2015 of the China Health and Retirement Longitudinal Study. Multivariate logistic regression models were used to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for stroke in the quartiles of three atherosclerosis indexes, and restricted cubic splines were constructed.
Four hundred and fifty-four of the 21,913 eligible participants had stroke. After multivariate adjustments and with respect to the lowest quartiles, the ORs (95% CIs) of stroke in the highest quartiles of the atherogenic index of plasma (AIP), the Castelli risk index I (CRI-I), and the Castelli risk index II (CRI-II) were 1.35 (0.99-1.83), 1.52 (1.13-2.06), and 1.40 (1.05-1.86), respectively. When assessed as a continuous exposure, per-unit increases in the AIP, CRI-I, and CRI-II were independently associated with a 49% (OR: 1.49, 95% CI: 1.07-2.08), 6% (OR: 1.06, 95% CI: 1.02-1.11), and 14% (OR: 1.14, 95% CI: 1.03-1.27) increase in the risk of stroke, respectively.
The three atherosclerosis indexes studied-the AIP, CRI-I, and CRI-II-were found to be predictors of stroke in a Chinese population.
评估三种动脉粥样硬化指标与65岁及以上人群中风的相关性。
从中国健康与养老追踪调查2011年至2015年的波次中获取样本。使用多变量逻辑回归模型估计三种动脉粥样硬化指标四分位数中中风的比值比(OR)及其95%置信区间(CI),并构建受限立方样条。
21913名符合条件的参与者中有454人发生中风。经过多变量调整后,相对于最低四分位数,血浆致动脉粥样硬化指数(AIP)、卡斯泰利风险指数I(CRI-I)和卡斯泰利风险指数II(CRI-II)最高四分位数中中风的OR(95%CI)分别为1.35(0.99-1.83)、1.52(1.13-2.06)和1.40(1.05-1.86)。当作为连续暴露进行评估时,AIP、CRI-I和CRI-II每单位增加分别与中风风险独立增加49%(OR:1.49,95%CI:1.07-2.08)、6%(OR:1.06,95%CI:1.02-1.11)和14%(OR:1.14,95%CI:1.03-1.27)相关。
研究的三种动脉粥样硬化指标——AIP、CRI-I和CRI-II——被发现是中国人群中风的预测因素。