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Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.

1078-8956
2885-2901
Osmond, Clive
2677bf85-494f-4a78-adf8-580e1b8acb81
Fall, Caroline
7171a105-34f5-4131-89d7-1aa639893b18
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Vasan, Senthil K.
57b46c7b-074d-4d99-a284-40b592aec067
Westbury, Leo D.
08fbb4e9-305c-4724-bd0c-b963a5054229
NCD Risk Factor Collaboration (NCD-RisC)
Osmond, Clive
2677bf85-494f-4a78-adf8-580e1b8acb81
Fall, Caroline
7171a105-34f5-4131-89d7-1aa639893b18
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Vasan, Senthil K.
57b46c7b-074d-4d99-a284-40b592aec067
Westbury, Leo D.
08fbb4e9-305c-4724-bd0c-b963a5054229

Vasan, Senthil K. and Westbury, Leo D. , NCD Risk Factor Collaboration (NCD-RisC) (2023) Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nature Medicine, 29 (11), 2885-2901. (doi:10.1038/s41591-023-02610-2).

Record type: Article

Abstract

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.

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s41591-023-02610-2 - Version of Record
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More information

Accepted/In Press date: 25 September 2023
e-pub ahead of print date: 9 November 2023
Published date: November 2023
Additional Information: Publisher Copyright: © 2023, The Author(s).

Identifiers

Local EPrints ID: 484396
URI: http://eprints.soton.ac.uk/id/eprint/484396
ISSN: 1078-8956
PURE UUID: 5b6269b8-ec37-4252-b67a-b38aa374719f
ORCID for Clive Osmond: ORCID iD orcid.org/0000-0002-9054-4655
ORCID for Caroline Fall: ORCID iD orcid.org/0000-0003-4402-5552
ORCID for Elaine Dennison: ORCID iD orcid.org/0000-0002-3048-4961
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709

Catalogue record

Date deposited: 16 Nov 2023 11:48
Last modified: 18 Mar 2024 02:47

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Contributors

Author: Clive Osmond ORCID iD
Author: Caroline Fall ORCID iD
Author: Elaine Dennison ORCID iD
Author: Cyrus Cooper ORCID iD
Author: Senthil K. Vasan
Author: Leo D. Westbury
Corporate Author: NCD Risk Factor Collaboration (NCD-RisC)

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