Objective: A 2021 international consensus statement defined type 2 diabetes remission as A1C <6.5% measured at least 3 months after cessation of glucose-lowering therapy. We aimed to investigate whether retrospective claims-based data can assess remission based on this definition, whether three increasingly strict alternative definitions affect the prevalence of remission and characteristics of remission cohorts, and how cohorts with and without sufficient data to assess for remission differ.
Research Design And Methods: We used de-identified administrative claims from commercially insured and Medicare Advantage members, enriched with laboratory values, to assess diabetes remission. We used alternative glycemic, temporal, and pharmacologic criteria to assess the sensitivity of remission definitions to changes in claims-based logic.
Results: Among 524,076 adults with type 2 diabetes, 185,285 (35.4%) had insufficient additional laboratory and/or enrollment data to assess for remission. While more likely to be younger, these individuals had similar initial A1C values and geographical distribution as the 338,791 (64.6%) assessed for remission. Of those assessed for remission, 10,694 (3.2%) met the 2021 consensus statement definition. The proportion of individuals meeting the three alternative definitions ranged from 0.8 to 2.3%. Across all criteria, those meeting the remission definition were more likely to be female, had a lower initially observed A1C, and had a higher prevalence of bariatric surgery.
Conclusion: This study demonstrates the feasibility of laboratory-value enriched claims-based assessments of type 2 diabetes remission. Establishing stable claims-based markers of remission can enable population assessments of diabetes remission and evaluate the association between remission and clinical outcomes.
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http://dx.doi.org/10.2337/ds22-0042 | DOI Listing |
J Med Internet Res
January 2025
Department of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.
Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care.
Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care.
Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.
Psychol Health Med
January 2025
Faculty of Medicine Umm Al-Qura University, Al-Qunfudah, Saudi Arabia.
Patients with type 2 diabetes mellitus (T2DM) are susceptible to mental health issues, impacting medication adherence and diabetes control. This study aimed to evaluate factors associated with depression and anxiety among T2DM patients in Indonesia and Malaysia. A cross-sectional study was conducted in Indonesia and Malaysia from October 2022 to April 2023 among T2DM patients.
View Article and Find Full Text PDFDiabetes Care
February 2025
Division of Blood Disorders and Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA.
Objective: The goal of this study was to assess the additive value of considering type 2 diabetes (T2D) polygenic risk score (PRS) in addition to family history for T2D prediction.
Research Design And Methods: Data were obtained from the All of Us (AoU) research database. First-degree T2D family history was self-reported on the personal family history health questionnaire.
South Asia has high prevalence rates of type 2 diabetes (T2D). Until the 1990s, the prevalence of T2D within South Asia was low but much higher in the South Asian diaspora living abroad. Today, high prevalence rates of T2D are reported among those living in South Asia.
View Article and Find Full Text PDFDiabetes Care
February 2025
Epidemiology, IQVIA, Frankfurt am Main, Germany.
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