Glycemic control in youth-onset type 2 diabetes correlates with weight loss

Nancy Chang, Mei Yu Yeh, Jennifer K. Raymond, Mitchell E. Geffner, Ji Hoon Ryoo, Lily C. Chao

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To identify risk factors for glycemic failure in youth with type 2 diabetes (T2D). Methods: A retrospective review of HbA1c, anthropomorphic measures, medication records, and laboratory studies was performed using registry data from a dedicated pediatric T2D clinic. Latent profile analysis (LPA) was performed to model longitudinal trajectory of HbA1c over 5 years. Results: The registry includes 229 youth with T2D, of whom 80% self-identify as Latinx. The odds ratio (OR) for uncontrolled diabetes 5 years after diagnosis correlated with diagnostic HbA1c, with OR of 2.41 if HbA1c at diagnosis >8.5% (sensitivity 68%, specificity 54%, P =.015). LPA modeling identified three HbA1c profiles: (a) mean HbA1c <8% throughout the 5 years, (b) persistent elevation of mean HbA1c >9%, and (c) mean HbA1c of 12% at diagnosis, rapid decline to 6.4% by 4 to 6 months, and increase to 11% by 18 months. Our analysis of medication regimen showed that, amongst patients treated with metformin, the addition of multiple daily injections (MDI) did not improve HbA1c compared to those on basal insulin. Finally, weight loss over the 1 year after diagnosis correlated with improvement in HbA1c in both subjects prescribed metformin monotherapy, as well as insulin-containing regimen. Conclusion: Youth with T2D exhibit distinct HbA1c profiles. Patients with diagnostic HbA1c >8.5% are at high risk for glycemic failure, irrespective of short-term improvement in HbA1c. Weight management has the potential to improve short-term HbA1c outcome in youth with T2D. Additional studies are needed to determine the role of medication adherence on glycemic control.

Original languageEnglish
Pages (from-to)1116-1125
Number of pages10
JournalPediatric Diabetes
Volume21
Issue number7
DOIs
Publication statusPublished - 2020 Nov 1

Bibliographical note

Funding Information:
REDCap is supported from UL1TR001855 and UL1TR000130 from the National Center for Advancing Translational Science (NCATS) of the U.S. National Institutes of Health. This work was supported by the Biostatistics Core at Children's Hospital Los Angeles (CHLA), jointly supported by The Saban Research Institute and the Southern California Clinical and Translational Science Institute. The CHLA T2D Clinic was funded by the Good Hope Medical Foundation, with additional support from the Sugar Ray Leonard Foundation.

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Pediatrics, Perinatology, and Child Health
  • Endocrinology, Diabetes and Metabolism

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