Title | Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of incident diabetes. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Lee CMan Ying, Colagiuri S, Woodward M, Gregg EW, Adams R, Azizi F, Gabriel R, Gill TK, Gonzalez C, Hodge A, Jr DRJacobs, Joseph JJ, Khalili D, Magliano DJ, Mehlig K, Milne R, Mishra G, Mongraw-Chaffin M, Pasco JA, Sakurai M, Schreiner PJ, Selvin E, Shaw JE, Wittert G, Yatsuya H |
Secondary Authors | Huxley RR |
Journal | BMJ Open Diabetes Res Care |
Volume | 7 |
Issue | 1 |
Pagination | e000794 |
Date Published | 2019 |
ISSN | 2052-4897 |
Keywords | Biomarkers, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Disease Progression, Humans, Incidence, Prediabetic State, Prognosis, Risk Factors |
Abstract | Objective: There are currently five widely used definition of prediabetes. We compared the ability of these to predict 5-year conversion to diabetes and investigated whether there were other cut-points identifying risk of progression to diabetes that may be more useful. Research design and methods: We conducted an individual participant meta-analysis using longitudinal data included in the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox regression models were used to obtain study-specific HRs for incident diabetes associated with each prediabetes definition. Harrell's C-statistics were used to estimate how well each prediabetes definition discriminated 5-year risk of diabetes. Spline and receiver operating characteristic curve (ROC) analyses were used to identify alternative cut-points. Results: Sixteen studies, with 76 513 participants and 8208 incident diabetes cases, were available. Compared with normoglycemia, current prediabetes definitions were associated with four to eight times higher diabetes risk (HRs (95% CIs): 3.78 (3.11 to 4.60) to 8.36 (4.88 to 14.33)) and all definitions discriminated 5-year diabetes risk with good accuracy (C-statistics 0.79-0.81). Cut-points identified through spline analysis were fasting plasma glucose (FPG) 5.1 mmol/L and glycated hemoglobin (HbA1c) 5.0% (31 mmol/mol) and cut-points identified through ROC analysis were FPG 5.6 mmol/L, 2-hour postload glucose 7.0 mmol/L and HbA1c 5.6% (38 mmol/mol). Conclusions: In terms of identifying individuals at greatest risk of developing diabetes within 5 years, using prediabetes definitions that have lower values produced non-significant gain. Therefore, deciding which definition to use will ultimately depend on the goal for identifying individuals at risk of diabetes. |
DOI | 10.1136/bmjdrc-2019-000794 |
Alternate Journal | BMJ Open Diabetes Res Care |
PubMed ID | 31908797 |
PubMed Central ID | PMC6936411 |
Grant List | K23 DK117041 / DK / NIDDK NIH HHS / United States HHSN268201700001I / HL / NHLBI NIH HHS / United States HHSN268201700002I / HL / NHLBI NIH HHS / United States HHSN268201700003I / HL / NHLBI NIH HHS / United States HHSN268201700005I / HL / NHLBI NIH HHS / United States HHSN268201700004I / HL / NHLBI NIH HHS / United States K24 DK106414 / DK / NIDDK NIH HHS / United States HHSN268201800013I / MD / NIMHD NIH HHS / United States HHSN268201800015I / HB / NHLBI NIH HHS / United States HHSN261201800010I / CA / NCI NIH HHS / United States N01HC95159 / HL / NHLBI NIH HHS / United States N01HC95160 / HL / NHLBI NIH HHS / United States N01HC95161 / HL / NHLBI NIH HHS / United States N01HC95162 / HL / NHLBI NIH HHS / United States N01HC95163 / HL / NHLBI NIH HHS / United States N01HC95164 / HL / NHLBI NIH HHS / United States N01HC95165 / HL / NHLBI NIH HHS / United States N01HC95166 / HL / NHLBI NIH HHS / United States N01HC95167 / HL / NHLBI NIH HHS / United States N01HC95168 / HL / NHLBI NIH HHS / United States N01HC95169 / HL / NHLBI NIH HHS / United States UL1 TR000040 / TR / NCATS NIH HHS / United States UL1 TR001079 / TR / NCATS NIH HHS / United States |