Longitudinal Phenotypes of Type 1 Diabetes in Youth Based on Weight and Glycemia and Their Association With Complications

Author:

Kahkoska Anna R1ORCID,Nguyen Crystal T2ORCID,Adair Linda A1,Aiello Allison E3,Burger Kyle S1,Buse John B4,Dabelea Dana56,Dolan Lawrence M7,Malik Faisal S8,Mottl Amy K4,Pihoker Catherine8,Reboussin Beth A9,Sauder Katherine A56,Kosorok Michael R210,Mayer-Davis Elizabeth J14

Affiliation:

1. Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

2. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

3. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

4. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

5. Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado

6. Department of Pediatrics, School of Medicine, University of Colorado, Aurora, Colorado

7. Division of Endocrinology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio

8. Department of Pediatrics, University of Washington, Seattle, Washington

9. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, North Carolina

10. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, North Carolina

Abstract

Abstract Context Subclinical and clinical complications emerge early in type 1 diabetes (T1D) and may be associated with obesity and hyperglycemia. Objective Test how longitudinal “weight-glycemia” phenotypes increase susceptibility to different patterns of early/subclinical complications among youth with T1D. Design SEARCH for Diabetes in Youth observational study. Setting Population-based cohort. Participants Youth with T1D (n = 570) diagnosed 2002 to 2006 or 2008. Main Outcome Measures Participants were clustered based on longitudinal body mass index z score and HbA1c from a baseline visit and 5+ year follow-up visit (mean diabetes duration: 1.4 ± 0.4 years and 8.2 ± 1.9 years, respectively). Logistic regression modeling tested cluster associations with seven early/subclinical diabetes complications at follow-up, adjusting for sex, race/ethnicity, age, and duration. Results Four longitudinal weight-glycemia clusters were identified: The Referent Cluster (n = 195, 34.3%), the Hyperglycemia Only Cluster (n = 53, 9.3%), the Elevated Weight Only Cluster (n = 206, 36.1%), and the Elevated Weight With Increasing Hyperglycemia (EWH) Cluster (n = 115, 20.2%). Compared with the Referent Cluster, the Hyperglycemia Only Cluster had elevated odds of dyslipidemia [adjusted odds ratio (aOR) 2.22, 95% CI: 1.15 to 4.29], retinopathy (aOR 9.98, 95% CI: 2.49 to 40.0), and diabetic kidney disease (DKD) (aOR 4.16, 95% CI: 1.37 to 12.62). The EWH Cluster had elevated odds of hypertension (aOR 2.18, 95% CI: 1.19 to 4.00), dyslipidemia (aOR 2.36, 95% CI: 1.41 to 3.95), arterial stiffness (aOR 2.46, 95% CI: 1.09 to 5.53), retinopathy (aOR 5.11, 95% CI: 1.34 to 19.46), and DKD (aOR 3.43, 95% CI: 1.29 to 9.11). Conclusions Weight-glycemia phenotypes show different patterns of complications, particularly markers of subclinical macrovascular disease, even in the first decade of T1D.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Centers for Disease Control and Prevention

National Institutes of Health

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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