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Racial differences in measures of glycemia in the Vitamin D and Type 2 Diabetes (D2d) Study: a secondary analysis of a randomized trial.
LeBlanc, Erin S; Pittas, Anastassios G; Nelson, Jason; Chatterjee, Ranee; Rasouli, Neda; Rhee, Mary K; Pratley, Richard E; Desouza, Cyrus V; Neff, Lisa M; Peters, Anne M; Dagogo-Jack, Samuel; Hsia, Daniel S.
Afiliação
  • LeBlanc ES; Kaiser Permanente Center for Health Research, Portland, Oregon, USA Erin.S.LeBlanc@kpchr.org.
  • Pittas AG; Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, Massachusetts, USA.
  • Nelson J; Tufts Medical Center, Boston, Massachusetts, USA.
  • Chatterjee R; Internal Medicine, Duke University, Durham, North Carolina, USA.
  • Rasouli N; Endocrinology, Metabolism and Diabetes, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
  • Rhee MK; Endocrinology, VA Eastern Colorado Health Care System, Denver, Colorado, USA.
  • Pratley RE; Medicine/Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, Georgia, USA.
  • Desouza CV; Translational Research Institute, AdventHealth Research Institute, Orlando, Florida, USA.
  • Neff LM; University of Nebraska Medical Center, Omaha, Nebraska, USA.
  • Peters AM; Northwestern Medicine, Chicago, Illinois, USA.
  • Dagogo-Jack S; Endocrinology, USC, Manhattan Beach, California, USA.
  • Hsia DS; Division of Endocrinology, Diabetes & Metabolism General Clinical Research Center, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
BMJ Open Diabetes Res Care ; 12(1)2024 Feb 12.
Article em En | MEDLINE | ID: mdl-38350671
ABSTRACT

INTRODUCTION:

Understanding how race may influence the association between A1c and glycemia can improve diabetes screening. We sought to determine whether, for a given A1c level, glucose levels during an oral glucose tolerance test (OGTT) differed by race. RESEARCH DESIGN AND

METHODS:

From data collected at 22 US clinical sites, we conducted a cross-sectional study of concurrently measured A1c and OGTT and observational longitudinal follow-up of the subset with high-risk pre-diabetes. Numerical integration methods were used to calculate area under the glycemic curve (AUCglu) during OGTT and least squares regression model to estimate A1c for a given AUCglu by race, controlling for potential confounders.

RESULTS:

1016 black, 2658 white, and 193 Asian persons at risk of diabetes were included in cross-sectional analysis. Of these, 2154 with high-risk pre-diabetes were followed for 2.5 years. For a given A1c level, AUCglu was lower in black versus white participants. After adjustment for potential confounders, A1c levels for a given AUCglu quintile were 0.15-0.20 and 0.02-0.19 percentage points higher in black and Asian compared with white participants, respectively (p<0.05). In longitudinal analyses, black participants were more likely to be diagnosed with diabetes by A1c than white participants (28% vs 10%, respectively; p<0.01). Black and Asian participants were less likely to be diagnosed by fasting glucose than white participants (16% vs 15% vs 37%, respectively; p<0.05). Black participants with A1c levels in the lower-level quintiles had greater increase in A1c over time compared with white participants.

CONCLUSIONS:

Use of additional testing beyond A1c to screen for diabetes may better stratify diabetes risk in the diverse US population.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos