Details

Autor(en) / Beteiligte

• IM, MYUNGSOO
• RYANG, SOREE
• KIM, DOOHWA
• YI, WOOK
• KIM, JINMI
• KANG, HYUK
• JIN KIM, YOUNG
• JIN KIM, YEONG
• KIM, MINSOO
• JOO KIM, IN
• CHUNG, STEPHANIE T.
• SHERMAN, ARTHUR
• HA, JOON
• SOO KIM, SANG

Titel

1268-P: One-Hour Glucose Thresholds for T2D Prediction—A Longitudinal Validation Study in the Korean Genome and Epidemiology Study (KoGES)

Ist Teil von

• Diabetes (New York, N.Y.), 2023-06, Vol.72 (Supplement_1), p.1

Ort / Verlag

New York: American Diabetes Association

Erscheinungsjahr

2023

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• One-hour glucose to predict prediabetes (PreDM=155mg/dL) and type 2 diabetes (T2D= 209 mg/dl) could improve detection with a shorter 1-hour OGTT, but thresholds need validation in longitudinal cohorts. We determined the risk of incident diabetes using the proposed thresholds with a 16-year longitudinal Korean data set (N=6381, BMI=24±4.0 kg/m2; Age 51.2±8.6 y). OGTT was conducted every 2 y, and 3 groups were assigned at baseline: low one-hour plasma glucose (1h-PG) with normal glucose tolerance (NGT) (low 1h-PG: FPG<100, 2h-PG<140, 1h-PG<155), high 1h-PG with NGT (high 1h-PG: FPG<100, 2h-PG<140, 1h-PG≥155), and PreDM (100≤FPG<126 or 140≤2h-PG<200). Time to T2D was compared by the group in a subset (N=230). T2D risk was higher in high 1h-PG and PreDM than low 1h-PG group (HR:4.9 [3.5, 6.8] and 8.8 [6.5, 11.8]). With the subset of progressors, a linear mixed effect model showed that times to T2D from low and high 1h-PG were 24.8±18.5 y and 19.5±12.4 y (P<0.05). The 1h-PG threshold for T2D, 209 mg/dl, was reached 7.5±14.5 y earlier than the 2h-PG threshold, 200 mg/dl. Conclusion: NGT with high 1h-PG is an intermediate state between low 1h-PG NGT and PreDM, and the 1h-PG threshold for T2D allows earlier diagnosis than the current 2h-PG threshold. Disclosure M.Im: None. I.Kim: None. S.T.Chung: None. A.Sherman: None. J.Ha: None. S.Kim: None. S.Ryang: None. D.Kim: None. W.Yi: None. J.Kim: None. H.Kang: None. Y.Kim: None. Y.Kim: None. M.Kim: None. Funding Busan Economic Promotion Agency; National Research Foundation of Korea (2022H1D3A2A01063552); Korea Health Industry Development Institute (HI18C2383); dkNET New Investigator Pilot Program in Bioinformatics; National Institute of Diabetes and Digestive and Kidney Diseases