Chul-Hee Kim1, Hong-Kyu Kim2, Eun-Hee Kim3, Sung-Jin Bae3, Jaewon Choe3, Joong-Yeol Park4. 1. Division of Endocrinology & Metabolism, Department of Internal Medicine, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea. 2. Health Screening & Promotion Center, Asan Medical Center, Seoul, Republic of Korea. Electronic address: hkkim0801@amc.seoul.kr. 3. Health Screening & Promotion Center, Asan Medical Center, Seoul, Republic of Korea. 4. Division of Endocrinology & Metabolism, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Abstract
AIMS: To examine the abilities of HbA1c and fasting plasma glucose (FPG) criteria predicting 5-year progression rate to diabetes in Korean adults with prediabetes. METHODS: Participants included 17,971 Koreans (aged 20-79years) who underwent routine medical check-ups at a mean interval of 5.2years (3.1-6.7years). Prediabetes was defined as FPG 5.6-6.9mmol/l or HbA1c 5.7-6.4% (39-46mmol/mol). Incident diabetes was defined as FPG⩾7.0mmol/l, HbA1c⩾6.5% (48mmol/mol), or initiation of antidiabetic medications. RESULTS: At baseline, the prevalence of prediabetes was 30.6% (n=5495) by FPG and 20.4% (n=3664) by HbA1c criteria. The 5-year progression rate to diabetes was significantly higher in prediabetes identified by HbA1c than by FPG tests (14.7% vs. 10.4%, P<0.001). Of individuals diagnosed with prediabetes by only one test, those by HbA1c alone had a higher risk of progression to diabetes than those diagnosed by FPG alone (6.0% vs. 3.9%, P<0.001). Receiver operating characteristic curve analysis showed that area under the curve was greater for HbA1c (0.855, 95% CI 0.840-0.870) than for FPG (0.830, 0.813-0.846) (P=0.016). After adjustment for conventional risk factors, the odds ratio (OR) of developing diabetes was higher in participants with prediabetes identified by HbA1c (OR 9.91, 8.24-11.9) than by FPG (OR 7.29, 5.97-8.89) (P=0.026). CONCLUSIONS: Although fewer individuals with prediabetes were identified by HbA1c than by FPG criteria, the ability to predict progression to diabetes was stronger for HbA1c than for FPG in Koreans.
AIMS: To examine the abilities of HbA1c and fasting plasma glucose (FPG) criteria predicting 5-year progression rate to diabetes in Korean adults with prediabetes. METHODS:Participants included 17,971 Koreans (aged 20-79years) who underwent routine medical check-ups at a mean interval of 5.2years (3.1-6.7years). Prediabetes was defined as FPG 5.6-6.9mmol/l or HbA1c 5.7-6.4% (39-46mmol/mol). Incident diabetes was defined as FPG⩾7.0mmol/l, HbA1c⩾6.5% (48mmol/mol), or initiation of antidiabetic medications. RESULTS: At baseline, the prevalence of prediabetes was 30.6% (n=5495) by FPG and 20.4% (n=3664) by HbA1c criteria. The 5-year progression rate to diabetes was significantly higher in prediabetes identified by HbA1c than by FPG tests (14.7% vs. 10.4%, P<0.001). Of individuals diagnosed with prediabetes by only one test, those by HbA1c alone had a higher risk of progression to diabetes than those diagnosed by FPG alone (6.0% vs. 3.9%, P<0.001). Receiver operating characteristic curve analysis showed that area under the curve was greater for HbA1c (0.855, 95% CI 0.840-0.870) than for FPG (0.830, 0.813-0.846) (P=0.016). After adjustment for conventional risk factors, the odds ratio (OR) of developing diabetes was higher in participants with prediabetes identified by HbA1c (OR 9.91, 8.24-11.9) than by FPG (OR 7.29, 5.97-8.89) (P=0.026). CONCLUSIONS: Although fewer individuals with prediabetes were identified by HbA1c than by FPG criteria, the ability to predict progression to diabetes was stronger for HbA1c than for FPG in Koreans.
Authors: Sahar Eftekhari; Omid Aminian; Zeinab Moinfar; Thomas Schettgen; Andrea Kaifie; Michael Felten; Thomas Kraus; André Esser Journal: J Occup Med Toxicol Date: 2018-05-31 Impact factor: 2.646
Authors: Weerachai Srivanichakorn; Ian F Godsland; Chaiwat Washirasaksiri; Pochamana Phisalprapa; Phunchai Charatcharoenwitthaya; Pornpoj Pramyothin; Tullaya Sitasuwan; Lukana Preechasuk; Robert Elkeles; K George Mm Alberti; Desmond G Johnston; Nick S Oliver Journal: J Diabetes Investig Date: 2018-11-30 Impact factor: 4.232