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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...

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Autores principales: Wade, Alisha N, Crowther, Nigel J, Abrahams-Gessel, Shafika, Berkman, Lisa, George, Jaya A, Gómez-Olivé, F Xavier, Manne-Goehler, Jennifer, Salomon, Joshua A, Wagner, Ryan G, Gaziano, Thomas A, Tollman, Stephen M, Cappola, Anne R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
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
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author Wade, Alisha N
Crowther, Nigel J
Abrahams-Gessel, Shafika
Berkman, Lisa
George, Jaya A
Gómez-Olivé, F Xavier
Manne-Goehler, Jennifer
Salomon, Joshua A
Wagner, Ryan G
Gaziano, Thomas A
Tollman, Stephen M
Cappola, Anne R
author_facet Wade, Alisha N
Crowther, Nigel J
Abrahams-Gessel, Shafika
Berkman, Lisa
George, Jaya A
Gómez-Olivé, F Xavier
Manne-Goehler, Jennifer
Salomon, Joshua A
Wagner, Ryan G
Gaziano, Thomas A
Tollman, Stephen M
Cappola, Anne R
author_sort Wade, Alisha N
collection PubMed
description 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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spelling pubmed-82124052021-07-01 Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study Wade, Alisha N Crowther, Nigel J Abrahams-Gessel, Shafika Berkman, Lisa George, Jaya A Gómez-Olivé, F Xavier Manne-Goehler, Jennifer Salomon, Joshua A Wagner, Ryan G Gaziano, Thomas A Tollman, Stephen M Cappola, Anne R BMJ Open Diabetes and Endocrinology 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. BMJ Publishing Group 2021-06-17 /pmc/articles/PMC8212405/ /pubmed/34140342 http://dx.doi.org/10.1136/bmjopen-2020-046060 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diabetes and Endocrinology
Wade, Alisha N
Crowther, Nigel J
Abrahams-Gessel, Shafika
Berkman, Lisa
George, Jaya A
Gómez-Olivé, F Xavier
Manne-Goehler, Jennifer
Salomon, Joshua A
Wagner, Ryan G
Gaziano, Thomas A
Tollman, Stephen M
Cappola, Anne R
Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title_full Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title_fullStr Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title_full_unstemmed Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title_short Concordance between fasting plasma glucose and HbA(1c) in the diagnosis of diabetes in black South African adults: a cross-sectional study
title_sort concordance between fasting plasma glucose and hba(1c) in the diagnosis of diabetes in black south african adults: a cross-sectional study
topic Diabetes and Endocrinology
url 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
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