Novel OGTT metrics do not provide incremental predictive value beyond conventional glycemic criteria for remission of prediabetes in individuals with impaired fasting glucose: results from the PREVIEW trial
Year: 2026
Type: article
Abstract: BACKGROUND: While conventional metrics of glycemia (fasting and 2-h glucose and HbA1c) define prediabetes and are associated with its progression, they do not capture the full heterogeneity of individual glucose metabolism. We aimed to examine whether novel OGTT-derived metrics provide incremental predictive value beyond conventional metrics for prediabetes remission during long-term lifestyle intervention. METHODS: This post-hoc analysis used longitudinal data from PREVIEW, a 3-year, multinational, randomized trial, which assessed lifestyle interventions for diabetes prevention in adults with overweight/obesity and predominantly impaired fasting glucose (IFG). Participants underwent 8-week weight loss followed by 148-week lifestyle-based weight maintenance. Conventional metrics of glycemia included fasting and 2-h glucose and HbA1c. Novel OGTT metrics included 1-h glucose, time to glucose peak, maximum glucose excursion, peak glucose, area under the curve during OGTT, and curve shape. Outcomes were prediabetes remission at 1, 2, and 3 years. Restricted cubic spline analysis and modified Poisson regression models examined the associations of baseline conventional glycaemic and novel OGTT metrics with remission. Incremental predictive value of individual OGTT metrics was assessed using Likelihood ratio tests and optimism-adjusted area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI) via bootstrapping. RESULTS: 1187 participants (262 remitters and 925 non-remitters at 1 year) were included. There was a non-linear association between baseline fasting glucose and prediabetes remission at 1 year (P = 0.008), while inverse linear associations were observed at 2 and 3 years, independent of 2-h glucose and HbA1c. Higher baseline HbA1c, but not 2-h glucose, was associated with lower likelihood of remission at 1, 2, and 3 years, regardless of fasting and 2-h glucose. After adjustment for conventional metrics, there were no significant associations of baseline novel OGTT metrics with prediabetes remission. Incremental value analysis showed that adding individual novel OGTT metrics did not yield significant improvements in model fit or discrimination (P > 0.05 for Likelihood ratio tests and tests for ΔAUROC and NRI). CONCLUSION: In long-term lifestyle intervention among individuals who predominantly had IFG, individual novel OGTT metrics do not provide incremental predictive value for prediabetes remission beyond conventional metrics of glycemia. Trial registration Clinical trial reg. NCT01777893, clinicaltrials.gov.
Source: Cardiovascular Diabetology
Institutions: China Agricultural University, Swansea University, Queen's Medical Centre, Medical University of Sofia, Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition, Navarre Institute of Health Research, Centro de Investigación Biomédica en Red, Universidad de Navarra, University of Auckland, Universidade Nova de Lisboa, University of Helsinki, Maastricht University, University of Copenhagen, Madrid Institute for Advanced Studies, Universidad de Valladolid, Consejo Superior de Investigaciones Científicas, The University of Sydney
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,290
Funders: Helsingin Yliopisto, Suomen Lääketieteen Säätiö, NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research, National Natural Science Foundation of China, Academy of Finland, China Postdoctoral Science Foundation, Emil Aaltosen Säätiö, Novo Nordisk Fonden, Diabetestutkimussäätiö, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, Jenny ja Antti Wihurin Rahasto
Awards: G1963153575, G2475647176, G4262205327
OpenAlex ID: W7155221825
