Hemoglobin A1c and glucose criteria identify different subjects as having type 2 diabetes in middle-aged and older populations: The KORA S4/F4 Study

作者
Wolfgang Rathmann,Bernd Kowall,Teresa Tamayo,Guido Giani,Rolf Holle,Barbara Thorand,Margit Heier,Cornelia Huth,Christa Meisinger
出处
期刊:Annals of Medicine [Informa]
卷期号:44 (2): 170-177 被引量:51
标识
DOI:10.3109/07853890.2010.531759
摘要

OBJECTIVE: The American Diabetes Association (ADA) has recently recommended HbA1c for diagnosing diabetes as an alternative to glucose-based criteria. We compared the new HbA1c-based criteria for diagnosis of diabetes and prediabetes with the glucose-based criteria. RESEARCH DESIGN AND METHODS: In the population-based German KORA surveys (S4/F4) 1,764 non-diabetic participants aged 31-60 years and 896 participants aged 61-75 years underwent measurements of HbA1c, fasting plasma glucose (FPG), and 2-h glucose. RESULTS: Only 20% of all subjects diagnosed with diabetes by glucose or HbA1c criteria had diabetes by both criteria; for prediabetes, the corresponding figure was 23%. Using HbA1c ≥ 6.5%, the prevalence of diabetes was strongly reduced compared to the glucose criteria (0.7% instead of 2.3% in the middle-aged, 2.9% instead of 7.9% in the older subjects). Only 32.0% (middle-aged) and 43.2% (older group) of isolated impaired glucose tolerance (i-IGT) cases were detected by the HbA1c criterion (5.7% ≤ HbA1c < 6.5%). CONCLUSION: By glucose and the new HbA1c diabetes criteria, different subjects are diagnosed with type 2 diabetes in middle-aged as well as older subjects. The new HbA1c criterion lacks sensitivity for impaired glucose tolerance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SY发布了新的文献求助10
刚刚
1秒前
谜迪发布了新的文献求助10
1秒前
隐形耷完成签到,获得积分20
1秒前
机智雅山完成签到 ,获得积分10
2秒前
2秒前
acc完成签到,获得积分10
2秒前
PICC完成签到,获得积分10
2秒前
3秒前
3秒前
4秒前
6秒前
吴泰霞发布了新的文献求助10
6秒前
ding应助zxzb采纳,获得10
6秒前
Coraline发布了新的文献求助10
7秒前
刘大大发布了新的文献求助10
7秒前
7秒前
7秒前
脑洞疼应助宋小亮采纳,获得10
8秒前
8秒前
8秒前
龟龟酱发布了新的文献求助10
8秒前
Q特别忠茶发布了新的文献求助10
8秒前
9秒前
zahara发布了新的文献求助10
9秒前
9秒前
852应助清和采纳,获得10
9秒前
9秒前
谜迪完成签到,获得积分10
10秒前
10秒前
李健应助帆子采纳,获得10
10秒前
蹦123完成签到,获得积分10
10秒前
10秒前
小乔发布了新的文献求助10
10秒前
Xf完成签到,获得积分10
11秒前
11秒前
11秒前
Panjiao发布了新的文献求助10
11秒前
11秒前
Jess发布了新的文献求助10
11秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582558
求助须知:如何正确求助?哪些是违规求助? 9161515
关于积分的说明 19603606
捐赠科研通 7164763
什么是DOI,文献DOI怎么找? 3266162
关于科研通互助平台的介绍 2431036
邀请新用户注册赠送积分活动 2257436