Egan Aoife M, Wood-Wentz Christina M, Mohan Sneha, Bailey Kent R, Vella Adrian
Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.
JAMA Netw Open. 2025 Jan 2;8(1):e2456067. doi: 10.1001/jamanetworkopen.2024.56067.
Understanding the interplay between diabetes risk factors and diabetes development is important to develop individual, practice, and population-level prevention strategies.
To evaluate the progression from normal and impaired fasting glucose levels to diabetes among adults.
DESIGN, SETTING, AND PARTICIPANTS: This retrospective community-based cohort study used data from the Rochester Epidemiology Project, in Olmsted County, Minnesota, on 44 992 individuals with at least 2 fasting plasma glucose (FPG) measurements from January 1, 2005, to December 31, 2017. People who met criteria for diabetes on or before their first FPG measurement were excluded. Data were electronically retrieved in December 2019 with analyses finalized in November 2024.
The exposure was baseline FPG level, with covariates including the following measures that are consistently recorded in the electronic health record: body mass index (BMI), age, and sex.
The cumulative probability of freedom from diabetes was estimated and presented graphically using a Kaplan-Meier curve. Multivariable Cox proportional hazards regression modeling was used to estimate the partial hazard ratios (HRs) for variables of interest. Diabetes was defined as an FPG level greater than 125 mg/dL.
A total of 44 992 individuals (mean [SD] age at baseline, 43.7 [11.8] years; 26 025 women [57.8%]) were included. The baseline mean (SD) BMI was 28.9 (6.6). Over a median follow-up of 6.8 years (IQR, 3.6-9.7 years), 3879 individuals (8.6%) developed diabetes. The Kaplan-Meier 10-year cumulative risk of incident diabetes was 12.8% (95% CI, 12.4%-13.2%). All initial FPG levels outside a range of 80 to 94 mg/dL were associated with increased risk for diabetes (ie, FPG <70 mg/dL: HR, 3.49 [95% CI, 2.19-5.57]; FPG 120-125 mg/dL: HR, 12.47 [10.84-14.34]). Other independent risk factors were male sex (HR, 1.31 [95% CI, 1.22-1.40]), older age (≥60 years: HR, 1.97 [95% CI, 1.71-2.28]), and any abnormal category of BMI, including underweight (BMI <18.5: HR, 2.42 [95% CI, 1.77-3.29]; BMI ≥40: HR, 4.03 [95% CI, 3.56-4.56]). There was a significant additive association of variables, particularly FPG level and BMI. For instance, a woman aged 55 to 59 years with a BMI of 18.5 to 24.9 and an FPG level of 95 to 99 mg/dL had an estimated 10-year diabetes risk of 7.0%. However, an almost doubling of risk to 13.0% was observed if the BMI was 30.0 to 34.9, and risk more than doubled again to 28.0% if FPG level also increased to 105 to 109 mg/dL. A nomogram was generated to facilitate individual classification into one of four 10-year risk categories.
This retrospective cohort study of 44 992 individuals suggests that FPG level, age, BMI, and male sex were all associated with development of diabetes, with significant interaction between these variables. These data contribute to understanding the clinical course of diabetes and highlight the substantial individual variation in diabetes risk according to commonly measured clinical variables. The findings facilitate lifestyle and pharmacologic interventions to treat those at highest risk of diabetes to reduce future morbidity and mortality. Further work is needed to validate this risk categorization tool for different populations.
了解糖尿病风险因素与糖尿病发展之间的相互作用对于制定个体、实践和人群层面的预防策略至关重要。
评估成年人中空腹血糖水平正常和受损者发展为糖尿病的进程。
设计、设置和参与者:这项基于社区的回顾性队列研究使用了明尼苏达州奥尔姆斯特德县罗切斯特流行病学项目的数据,该数据来自2005年1月1日至2017年12月31日期间至少进行过2次空腹血糖(FPG)测量的44992人。在首次FPG测量时或之前符合糖尿病标准的人被排除。数据于2019年12月通过电子方式检索,并于2024年11月完成分析。
暴露因素为基线FPG水平,协变量包括电子健康记录中持续记录的以下指标:体重指数(BMI)、年龄和性别。
使用Kaplan-Meier曲线估计并以图形方式呈现无糖尿病的累积概率。多变量Cox比例风险回归模型用于估计感兴趣变量的部分风险比(HR)。糖尿病定义为FPG水平大于125mg/dL。
共纳入44992人(基线时平均[标准差]年龄为43.7[11.8]岁;26025名女性[57.8%])。基线时平均(标准差)BMI为28.9(6.6)。在中位随访6.8年(四分位间距,3.6 - 9.7年)期间,3879人(8.6%)发展为糖尿病。Kaplan-Meier法得出的10年糖尿病累积发病风险为12.8%(95%CI,12.4% - 13.2%)。所有初始FPG水平不在80至94mg/dL范围内均与糖尿病风险增加相关(即FPG<70mg/dL:HR,3.49[95%CI,2.19 - 5.57];FPG 120 - 125mg/dL:HR,12.47[10.84 - 14.34])。其他独立风险因素包括男性(HR,1.31[95%CI,1.22 - 1.40])、年龄较大(≥60岁:HR,1.97[95%CI,1.71 - 2.28])以及BMI的任何异常类别,包括体重过轻(BMI<18.5:HR,2.42[95%CI,1.77 - 3.29];BMI≥40:HR,4.03[95%CI,3.56 - 4.56])。变量之间存在显著的相加关联,特别是FPG水平和BMI。例如,一名5至59岁、BMI为18.5至24.9且FPG水平为95至99mg/dL的女性,估计10年糖尿病风险为7.0%。然而,如果BMI为30.0至34.9,风险几乎翻倍至13.0%,如果FPG水平也升至105至109mg/dL,风险则再次翻倍以上至28.0%。生成了一个列线图以方便将个体分类到四个10年风险类别之一。
这项对44992人的回顾性队列研究表明,FPG水平、年龄、BMI和男性性别均与糖尿病的发生相关,这些变量之间存在显著相互作用。这些数据有助于理解糖尿病的临床进程,并突出了根据常见测量临床变量在糖尿病风险方面存在的个体差异。研究结果有助于采取生活方式和药物干预措施来治疗糖尿病高风险人群,以降低未来的发病率和死亡率。需要进一步开展工作以验证针对不同人群的这种风险分类工具。