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Endocrine Abstracts (2024) 99 P461 | DOI: 10.1530/endoabs.99.P461

ECE2024 Poster Presentations Diabetes, Obesity, Metabolism and Nutrition (130 abstracts)

Prognostics factors for regression from prediabetes to normoglycaemia: individual participant data meta-analysis

Najmeh Davoodian 1 , Mojtaba Lotfaliany 1 , Rachel Huxley 2 , Crystal Lee 3 , Julie Pasco 4 & Mohammadreza Mohebbi 5


1IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; 2Faculty of Health, Deakin University, Melbourne, Australia; 3School of Population Health, Curtin University, Perth, Australia; 4IMPACT, the Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia; 5Biostatistics Unit, Faculty of Health, Deakin University, Melbourne, Australia


Background: Prediabetes, a subclinical precursor to type 2 diabetes mellitus (T2DM) that currently affects approximately 374 million adults worldwide, is a risk factor for the development of cardiovascular disease and stroke, in addition to T2DM. Prediabetes can be reversed to normoglycemia; hence, we aimed to quantify the role of metabolic risk factors in prediabetes regression to normoglycemia.

Methods: We utilized the Obesity, Diabetes, and Cardiovascular Disease Collaboration database for our individual participant data meta-analysis. This database includes 19 prospective cohort studies involving 113,296 adults across various ethnicities and age groups. We included individuals with prediabetes with at least one follow-up in the analysis. Discrete-Time Hidden Markov Models were used to estimate hazard ratios for prognostic factors of prediabetes regression in each cohort study. These estimations were then pooled in the random-effects meta-analysis model.

Results: We included 19,255 participants with prediabetes at baseline, with a median follow-up of 9.8 years (IQR 5.8–12.3); 53% were women, with a mean age of 51 years for both sexes. Former smoking (hazard ratio 0.98, 95% CI 0.89-1.06), higher waist-to-hip ratio (0.86, 0.79-0.93), higher waist-to-height ratio (0.83, 0.75-0.92), higher value of waist circumferences (0.87, 0.71-1.06), overweight (0.88, 0.81-0.96), and obesity (0.86, 0.71-1.04), high diastolic (0.93, 0.87-0.99) and systolic (0.96, 0.91-1.01) blood pressure, low serum HDL-cholesterol (0.87, 0.81-0.92), and high serum triglycerides (0.88, 0.81-0.96) were associated with a lower likelihood of individuals with prediabetes achieving normoglycemia.

Conclusion: The role of metabolic risk factors in prediabetes regression underscores the importance of lifestyle modification in the prediabetes state, not only to reduce T2DM development but also to attain normoglycemia.

Volume 99

26th European Congress of Endocrinology

Stockholm, Sweden
11 May 2024 - 14 May 2024

European Society of Endocrinology 

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