University of Colorado, Aurora, CO, USA.
George Washington University, Rockville, MD, USA.
Diabet Med. 2017 Dec;34(12):1747-1755. doi: 10.1111/dme.13453. Epub 2017 Sep 19.
Approximately half of the participants in the Diabetes Prevention Outcomes Study (DPPOS) had diabetes after 15 years of follow-up, whereas nearly all the others remained with pre-diabetes. We examined whether formerly unexplored factors in the DPPOS coexisted with known risk factors that posed additional risk for, or protection from, diabetes as well as microvascular disease.
Cox proportional hazard models were used to examine predictors of diabetes. Sequential modelling procedures considered known and formerly unexplored factors. We also constructed models to determine whether the same unexplored factors that associated with progression to diabetes also predicted the prevalence of microvascular disease. Hazard ratios (HR) are per standard deviation change in the variable.
In models adjusted for demographics and known diabetes risk factors, two formerly unknown factors were associated with risk for both diabetes and microvascular disease: number of medications taken (HR = 1.07, 95% confidence intervals (95% CI) 1.03 to 1.12 for diabetes; odds ratio (OR) = 1.10, 95% CI 1.04 to 1.16 for microvascular disease) and variability in HbA (HR = 1.02, 95% CI 1.01 to 1.03 for diabetes; OR = 1.06, 95% CI 1.04 to 1.09 for microvascular disease per sd). Total comorbidities increased risk for diabetes (HR = 1.10, 95% CI 1.04 to 1.16), whereas higher systolic (OR = 1.22, 95% CI 1.13 to 1.31) and diastolic (OR = 1.14, 95% CI 1.05 to 1.22) blood pressure, as well as the use of anti-hypertensives (OR = 1.41, 95% CI 1.23 to 1.62), increased risk of microvascular disease.
Several formerly unexplored factors in the DPPOS predicted additional risk for diabetes and/or microvascular disease - particularly hypertension and the use of anti-hypertensive medications - helping to explain some of the residual disease risk in participants of the DPPOS.
在为期 15 年的随访中,糖尿病预防结局研究(DPPOS)约有一半的参与者患有糖尿病,而其余大多数人仍处于糖尿病前期。我们研究了以前未探索的 DPPOS 因素是否与已知的危险因素共存,这些危险因素可能会增加或降低糖尿病和微血管疾病的风险。
使用 Cox 比例风险模型来检查糖尿病的预测因素。顺序建模程序考虑了已知和以前未探索的因素。我们还构建了模型,以确定与进展为糖尿病相关的相同未知因素是否也预测了微血管疾病的患病率。风险比(HR)是变量每标准差变化的量度。
在调整了人口统计学和已知糖尿病危险因素的模型中,有两个以前未知的因素与糖尿病和微血管疾病的风险相关:服用的药物数量(HR=1.07,95%置信区间(95%CI)为 1.03 至 1.12,用于糖尿病;比值比(OR)=1.10,95%CI 为 1.04 至 1.16,用于微血管疾病)和糖化血红蛋白(HbA)的变异性(HR=1.02,95%CI 为 1.01 至 1.03,用于糖尿病;OR=1.06,95%CI 为 1.04 至 1.09,用于微血管疾病,每标准差增加)。总合并症增加了糖尿病的风险(HR=1.10,95%CI 为 1.04 至 1.16),而较高的收缩压(OR=1.22,95%CI 为 1.13 至 1.31)和舒张压(OR=1.14,95%CI 为 1.05 至 1.22)以及使用抗高血压药物(OR=1.41,95%CI 为 1.23 至 1.62)也增加了微血管疾病的风险。
DPPOS 中的几个以前未探索的因素预测了糖尿病和/或微血管疾病的额外风险,特别是高血压和使用抗高血压药物,这有助于解释 DPPOS 参与者中一些残留的疾病风险。