Yang Xilin, Ko Gary T C, So Wing Yee, Ma Ronald C W, Kong Alice P S, Lam Christopher W K, Ho Chung Shun, Chow Chun-Chung, Tong Peter C Y, Chan Juliana C N
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Diabetes Care. 2008 Dec;31(12):2294-300. doi: 10.2337/dc08-1079. Epub 2008 Sep 22.
The study aims to test whether biological interaction between hyperglycemia and albuminuria can explain the inconsistent findings from epidemiological studies and clinical trials about effects of hyperglycemia on stroke in type 2 diabetes.
A total of 6,445 Hong Kong Chinese patients with type 2 diabetes and free of stroke at enrollment were followed up for a median of 5.37 years. Spline Cox proportional hazard regression was used to obtain hazard ratio curves, which were used to identify cutoff points of A1C and spot urinary albumin-to-creatinine ratio for increased ischemic stroke risk. The identified cutoff point of A1C was used to check biological interaction between A1C and albuminuria (micro- and macroalbuminuria). The biological interaction was estimated using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index.
During the follow-up period, 4.45% (n = 287) of patients developed ischemic stroke. A1C was associated with increased hazard ratios of ischemic stroke in a near-linear manner except for two points-6.2 and 8.0%-where the slope between these two points accelerated. For A1C values <6.2%, the presence of micro/macroalbuminuria did not confer additional risk, while significant biological interaction between A1C and micro/macroalbuminuria for values >or=6.2% was observed (RERI 0.92, 95% CI 0.16-1.68, and AP 0.40, 0.01-0.78).
A1C >or=6.2% and micro/macroalbuminuria interact to markedly increase the ischemic stroke risk, which explains a large proportion of risk in patients with type 2 diabetes harboring both risk factors.
本研究旨在检验高血糖与蛋白尿之间的生物学相互作用是否能够解释流行病学研究和临床试验中关于高血糖对2型糖尿病患者中风影响的不一致结果。
共有6445名香港华裔2型糖尿病患者入组,入组时无中风,随访时间中位数为5.37年。采用样条Cox比例风险回归获得风险比曲线,用于确定糖化血红蛋白(A1C)和随机尿白蛋白与肌酐比值的截断点,以判断缺血性中风风险增加情况。将确定的A1C截断点用于检验A1C与蛋白尿(微量和大量蛋白尿)之间的生物学相互作用。使用交互作用所致相对超额危险度(RERI)、交互作用所致归因比例(AP)和协同指数估计生物学相互作用。
随访期间,4.45%(n = 287)的患者发生缺血性中风。A1C与缺血性中风风险比增加呈近似线性关系,但在6.2%和8.0%这两个点处斜率加速。对于A1C值<6.2%,微量/大量蛋白尿的存在并未增加额外风险,而对于A1C值≥6.2%,观察到A1C与微量/大量蛋白尿之间存在显著的生物学相互作用(RERI 0.92,95%CI 0.16 - 1.68,AP 0.40,0.01 - 0.78)。
A1C≥6.2%与微量/大量蛋白尿相互作用可显著增加缺血性中风风险,这解释了同时具有这两种危险因素的2型糖尿病患者中很大一部分风险。