Hulman Adam, Gujral Unjali P, Narayan K M Venkat, Pradeepa Rajendra, Mohan Deepa, Anjana Ranjit Mohan, Mohan Viswanathan, Færch Kristine, Witte Daniel R
Department of Public Health, Aarhus University, Bartholins Allé 2, Building 1260, DK-8000, Aarhus C, Denmark; Danish Diabetes Academy, Odense University Hospital, Sdr Boulevard 29, DK-5000 Odense C, Denmark; Department of Medical Physics and Informatics, University of Szeged, Korányi fasor 9, H-6720 Szeged, Szeged, Hungary.
Emory Global Diabetes Research Center, Hubert Department of Global Health, Rollins School of Public Health, 1518 Clifton Road NE. Room 7040 N Emory University, Atlanta, GA, USA.
Diabetes Res Clin Pract. 2017 Apr;126:192-197. doi: 10.1016/j.diabres.2017.01.009. Epub 2017 Feb 17.
Traditionally, fasting and 2-hour post challenge plasma glucose have been used to diagnose diabetes. However, evidence indicates that clinically relevant pathophysiological information can be obtained by adding intermediate time-points to a standard oral glucose tolerance test (OGTT).
We studied a population-based sample of 3666 Asian Indians without diabetes from the CARRS-Chennai Study, India. Participants underwent a three-point (fasting, 30-min, and 2-h) OGTT at baseline. Patterns of glycemic response during OGTT were identified using latent class mixed-effects models. After a median follow-up of two years, participants had a second OGTT. Logistic regression adjusted for diabetes risk factors was used to compare risk of incident diabetes among participants in different latent classes.
We identified four latent classes with different glucose patterns (Classes 1-4). Glucose values for Classes 1, 2, and 4 ranked consistently at all three time-points, but at gradually higher levels. However, Class 3 represented a distinct pattern, characterized by high 30-min (30minPG), normal fasting (FPG) and 2-h (2hPG) plasma glucose, moderately high insulin sensitivity, and low acute insulin response. Approximately 22% of participants were categorized as Class 3, and had a 10-fold risk of diabetes compared to the group with the most favorable glucose response, despite 92.5% of Class 3 participants having normal glucose tolerance (NGT) at baseline.
Elevated 30minPG is associated with high risk of incident diabetes, even in individuals classified as NGT by a traditional OGTT. Assessing 30minPG may identify a subgroup of high-risk individuals who remained unidentified by traditional measures.
传统上,空腹血糖和口服葡萄糖耐量试验后2小时血糖一直用于诊断糖尿病。然而,有证据表明,在标准口服葡萄糖耐量试验(OGTT)中增加中间时间点可获取具有临床意义的病理生理信息。
我们对印度钦奈CARRS研究中3666名无糖尿病的亚洲印度人进行了基于人群的抽样研究。参与者在基线时接受了三点(空腹、30分钟和2小时)OGTT。使用潜在类别混合效应模型确定OGTT期间的血糖反应模式。在中位随访两年后,参与者进行了第二次OGTT。采用调整糖尿病风险因素的逻辑回归比较不同潜在类别参与者发生糖尿病的风险。
我们确定了四种具有不同血糖模式的潜在类别(类别1-4)。类别1、2和4在所有三个时间点的血糖值一致排序,但水平逐渐升高。然而,类别3呈现出一种独特的模式,其特征为30分钟时血糖(30minPG)高、空腹(FPG)和2小时(2hPG)血浆葡萄糖正常、胰岛素敏感性中等偏高以及急性胰岛素反应低。约22%的参与者被归类为类别3,与血糖反应最有利的组相比,其患糖尿病的风险高出10倍,尽管92.5%的类别3参与者在基线时糖耐量正常(NGT)。
即使在传统OGTT分类为NGT的个体中,30minPG升高也与发生糖尿病的高风险相关。评估30minPG可能会识别出传统测量方法未发现的高危个体亚组。