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

  • NCD Risk Factor Collaboration (NCD-RisC)
    ,
  • Bin Zhou(Author)
    ,
  • Kate E. Sheffer(Author)
    ,
  • James E. Bennett(Author)
    ,
  • Edward W. Gregg(Author)
    ,
  • Goodarz Danaei(Author)
  • Imperial College London
    ,
  • RCSI
    ,
  • Harvard T.H. Chan School of Public Health
    ,
  • Baker IDI Heart and Diabetes Institute
    ,
  • Bill & Melinda Gates Foundation
    ,
  • Emory University
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2885-2901 (17 pages)

Journal (Volume, Issue Number)

Nature Medicine (Volume 29, Issue 11)

Publication milestones

  • Accepted/In press - 2023
  • Published - 11/2023

Publication status

Published - 11/2023

ISSN

1078-8956

Publication IDs

  • Scopus: 85176735771
  • PubMed: 37946056

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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