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Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
OBJECTIVES: We investigated concordance between haemoglobin A1c (HbA(1)c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity. DESIGN: Cross-sectional study. SETTING: Rural South African population-based cohort. PAR...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212405/ https://www.ncbi.nlm.nih.gov/pubmed/34140342 http://dx.doi.org/10.1136/bmjopen-2020-046060 |
Sumario: | OBJECTIVES: We investigated concordance between haemoglobin A1c (HbA(1)c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity. DESIGN: Cross-sectional study. SETTING: Rural South African population-based cohort. PARTICIPANTS: 765 black individuals aged 40–70 years and with no history of diabetes. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was concordance between HbA(1c)-defined diabetes and FPG-defined diabetes. Secondary outcome measures were differences in anthropometric characteristics, fat distribution and insulin resistance (measured using Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR)) between those with concordant and discordant HbA(1c)/FPG classifications and predictors of HbA(1c) variance. RESULTS: The prevalence of HbA(1c)-defined diabetes was four times the prevalence of FPG-defined diabetes (17.5% vs 4.2%). Classification was discordant in 15.7% of participants, with 111 individuals (14.5%) having HbA(1c)-only diabetes (kappa 0.23; 95% CI 0.14 to 0.31). Median body mass index, waist and hip circumference, waist-to-hip ratio, subcutaneous adipose tissue and HOMA-IR in participants with HbA(1c)-only diabetes were similar to those in participants who were normoglycaemic by both biomarkers and significantly lower than in participants with diabetes by both biomarkers (p<0.05). HOMA-IR and fat distribution explained additional HbA(1c) variance beyond glucose and age only in women. CONCLUSIONS: Concordance was poor between HbA(1c) and FPG in diagnosis of diabetes in black South Africans, and participants with HbA(1c)-only diabetes phenotypically resembled normoglycaemic participants. Further work is necessary to determine which of these parameters better predicts diabetes-related morbidities in this population and whether a population-specific HbA(1c) threshold is necessary. |
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