Laiteerapong Neda, Karter Andrew J, Moffet Howard H, Cooper Jennifer M, Gibbons Robert D, Liu Jennifer Y, Gao Yue, Huang Elbert S
Section of General Internal Medicine, Department of Medicine, University of Chicago, 5841 S Maryland Avenue, MC 2007, Chicago, IL 60637, USA.
Division of Research, Kaiser Permanente, 2000 Broadway, Oakland, CA 94612, USA.
J Diabetes Complications. 2017 Jan;31(1):94-100. doi: 10.1016/j.jdiacomp.2016.07.023. Epub 2016 Jul 26.
To classify trajectories of long term HbA1c values in patients after diagnosis of type 2 diabetes and examine each trajectory's associations with subsequent microvascular and macrovascular events and mortality.
A longitudinal follow-up of 28,016 patients newly diagnosed with type 2 diabetes was conducted. Latent growth mixture modeling was used to identify ten-year HbA1c trajectories. Cox proportional hazards models were used to assess how HbA1c trajectories were associated with events (microvascular and macrovascular) and mortality.
We identified 5 HbA1c trajectories: "low stable" (82.5%), "moderate increasing late" (5.1%), "high decreasing early" (4.9%), "moderate peaking late" (4.1%) and "moderate peaking early" (3.3%). After adjusting for average HbA1c, compared to the low stable trajectory, all non-stable trajectories were associated with higher incidences of microvascular events (hazard ratio (HR) range, 1.28 (95% CI, 1.08-1.53) (high decreasing early) to 1.45 (95% CI, 1.20-1.75) (moderate peaking early)). The high decreasing early trajectory was associated with an increased mortality risk (HR, 1.27 (95% CI, 1.03-1.58)). Trajectories were not associated with macrovascular events.
Non-stable HbA1c trajectories were associated with greater risk of microvascular events and mortality. These findings suggest a potential benefit of early diabetes detection, prioritizing good glycemic control, and maintaining control over time.
对2型糖尿病患者确诊后的长期糖化血红蛋白(HbA1c)值轨迹进行分类,并研究各轨迹与随后微血管和大血管事件及死亡率的关联。
对28016例新诊断的2型糖尿病患者进行纵向随访。采用潜在增长混合模型识别十年HbA1c轨迹。使用Cox比例风险模型评估HbA1c轨迹与事件(微血管和大血管)及死亡率的关联。
我们识别出5种HbA1c轨迹:“低稳定型”(82.5%)、“中度晚期上升型”(5.1%)、“高度早期下降型”(4.9%)、“中度晚期峰值型”(4.1%)和“中度早期峰值型”(3.3%)。在调整平均HbA1c后,与低稳定轨迹相比,所有非稳定轨迹均与微血管事件的较高发生率相关(风险比(HR)范围为1.28(95%置信区间,1.08 - 1.53)(高度早期下降型)至1.45(95%置信区间,1.20 - 1.75)(中度早期峰值型))。高度早期下降型轨迹与死亡风险增加相关(HR,1.27(95%置信区间,1.03 - 1.58))。轨迹与大血管事件无关。
非稳定的HbA1c轨迹与微血管事件和死亡的更高风险相关。这些发现提示早期糖尿病检测、优先实现良好血糖控制以及长期维持控制可能具有潜在益处。