Ryan P Brady1, Amy S Shah1, Elizabeth T Jensen2, Jeanette M Stafford3, Ralph B D'Agostino3, Lawrence M Dolan1, Lisa Knight4, Giuseppina Imperatore5, Christine B Turley4, Angela D Liese6, Elaine M Urbina1, Jean M Lawrence7, Catherine Pihoker8, Santica Marcovina9, Dana Dabelea10. 1. Department of Pediatrics, Cincinnati Children's Hospital and University of Cincinnati, Cincinnati, Ohio, USA. 2. Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA. 3. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA. 4. Department of Pediatrics, University of South Carolina School of Medicine, Columbia, South Carolina, USA. 5. Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. 6. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA. 7. Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA. 8. Department of Pediatrics, University of Washington, Seattle, Washington, USA. 9. Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, Washington, USA. 10. Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.
Abstract
BACKGROUND: Dyslipidemia has been documented in youth with type 2 diabetes. There is a paucity of studies examining dyslipidemia over time in youth with type 2 diabetes and associated risk factors. OBJECTIVE: To evaluate lipids at baseline and follow-up and associated risk factors in youth with type 2 diabetes. METHODS: We studied 212 youth with type 2 diabetes at baseline and after an average of 7 years of follow-up in the SEARCH for Diabetes in Youth Study. Abnormal lipids were defined as high-density lipoprotein cholesterol (HDL-C) < 35, low-density lipoprotein cholesterol (LDL-C) > 100, or triglycerides >150 (all mg/dl). We evaluated participants for progression to abnormal lipids (normal lipids at baseline and abnormal at follow-up), regression (abnormal lipids at baseline and normal at follow-up), stable normal, and stable abnormal lipids over time for HDL-C, LDL-C, and triglycerides. Associations between hemoglobin A1c (HbA1c) and adiposity over time (area under the curve [AUC]) with progression and stable abnormal lipids were evaluated. RESULTS: HDL-C progressed, regressed, was stable normal, and stable abnormal in 12.3%, 11.3%, 62.3%, and 14.2% of participants, respectively. Corresponding LDL-C percentages were 15.6%, 12.7%, 42.9%, and 28.8% and triglycerides were 17.5%, 10.8%, 55.7%, and 16.0%. Each 1% increase in HbA1c AUC was associated with a 13% higher risk of progression and stable abnormal triglycerides and a 20% higher risk of progression and stable abnormal LDL-C. Higher adiposity AUC was marginally (p = 0.049) associated with abnormal HDL-C. CONCLUSIONS: Progression and stable abnormal LDL-C and triglycerides occur in youth with type 2 diabetes and are associated with higher HbA1c.
BACKGROUND: Dyslipidemia has been documented in youth with type 2 diabetes. There is a paucity of studies examining dyslipidemia over time in youth with type 2 diabetes and associated risk factors. OBJECTIVE: To evaluate lipids at baseline and follow-up and associated risk factors in youth with type 2 diabetes. METHODS: We studied 212 youth with type 2 diabetes at baseline and after an average of 7 years of follow-up in the SEARCH for Diabetes in Youth Study. Abnormal lipids were defined as high-density lipoprotein cholesterol (HDL-C) < 35, low-density lipoprotein cholesterol (LDL-C) > 100, or triglycerides >150 (all mg/dl). We evaluated participants for progression to abnormal lipids (normal lipids at baseline and abnormal at follow-up), regression (abnormal lipids at baseline and normal at follow-up), stable normal, and stable abnormal lipids over time for HDL-C, LDL-C, and triglycerides. Associations between hemoglobin A1c (HbA1c) and adiposity over time (area under the curve [AUC]) with progression and stable abnormal lipids were evaluated. RESULTS: HDL-C progressed, regressed, was stable normal, and stable abnormal in 12.3%, 11.3%, 62.3%, and 14.2% of participants, respectively. Corresponding LDL-C percentages were 15.6%, 12.7%, 42.9%, and 28.8% and triglycerides were 17.5%, 10.8%, 55.7%, and 16.0%. Each 1% increase in HbA1c AUC was associated with a 13% higher risk of progression and stable abnormal triglycerides and a 20% higher risk of progression and stable abnormal LDL-C. Higher adiposity AUC was marginally (p = 0.049) associated with abnormal HDL-C. CONCLUSIONS: Progression and stable abnormal LDL-C and triglycerides occur in youth with type 2 diabetes and are associated with higher HbA1c.
Authors: Ann K Kershnar; Stephen R Daniels; Giuseppina Imperatore; Shana L Palla; Diana B Petitti; David J Pettitt; Santica Marcovina; Lawrence M Dolan; Richard F Hamman; Angela D Liese; Catherine Pihoker; Beatriz L Rodriguez Journal: J Pediatr Date: 2006-09 Impact factor: 4.406
Authors: Diana B Petitti; Giuseppina Imperatore; Shana L Palla; Stephen R Daniels; Lawrence M Dolan; Ann K Kershnar; Santica Marcovina; David J Pettitt; Catherine Pihoker Journal: Arch Pediatr Adolesc Med Date: 2007-02
Authors: Richard F Hamman; Ronny A Bell; Dana Dabelea; Ralph B D'Agostino; Lawrence Dolan; Giuseppina Imperatore; Jean M Lawrence; Barbara Linder; Santica M Marcovina; Elizabeth J Mayer-Davis; Catherine Pihoker; Beatriz L Rodriguez; Sharon Saydah Journal: Diabetes Care Date: 2014-12 Impact factor: 19.112
Authors: Amy S Shah; Lawrence M Dolan; Dana Dabelea; Jeanette M Stafford; Ralph B D'Agostino; Elizabeth J Mayer-Davis; Santica Marcovina; Giuseppina Imperatore; R Paul Wadwa; Stephen R Daniels; Kristi Reynolds; Richard F Hamman; Deborah A Bowlby; David M Maahs Journal: Pediatr Diabetes Date: 2014-08-07 Impact factor: 4.866
Authors: You-Cheol Hwang; Tomoshige Hayashi; Wilfred Y Fujimoto; Steven E Kahn; Donna L Leonetti; Marguerite J McNeely; Edward J Boyko Journal: Diabetes Care Date: 2015-09-17 Impact factor: 19.112