Login
Login
MEDAT Data Repository - SAMRC
An Online Microdata Catalog
  • Home
  • Microdata Catalog
  • Citations
    Home / Central Data Catalog / HBA1CFORDYSGLYCAEMIASCREENINGINHIV
central

Glycated haemoglobin threshold for dysglycaemia screening and application to metabolic syndrome diagnosis in HIV-infected Africans

South Africa, 2014 - 2015
Kim A. Nguyen, Nasheeta Peer, Anniza de Villiers, Barbara Mukasa, Tandi E. Matsha, Edward J. Mills, Andre P. Kengne
Created on January 18, 2019 Last modified January 18, 2019 Page views 22214 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Identification
  • Producers and sponsors
  • Data Collection

Identification

Survey ID Number
HbA1cfordysglycaemiascreeninginHIV
Title
Glycated haemoglobin threshold for dysglycaemia screening and application to metabolic syndrome diagnosis in HIV-infected Africans
Country
Name Country code
South Africa ZAR
Abstract
Background: Glycated haemoglobin (HbA1c) test has been increasingly promoted as an alternative to fasting plasma glucose (FPG) or oral glucose tolerance test (OGTT) to diagnose dysglycaemia but its performance in HIV-infected Africans has yet to be established. This study aimed to assess the diagnostic accuracy of HbA1c for dysglycaemia including FPG-defined and OGTT-defined dysglycaemia, and OGTT-defined diabetes in HIV-infected Africans, and the effect of HbA1c-predicted dysglycaemia on Joint Interim Statement (JIS)-based prevalent metabolic syndrome (MS).
Methods: A cross-sectional study included HIV-positive patients recruited across public healthcare facilities in the Western Cape. The recommended HbA1c cut-points were tested alongside the optimal cut-points obtained from receiver operating characteristic curve analyses, while the agreement between the MS criteria were assessed using kappa statistic.
Results: 748 participants (157 men), median age 38 years, 93% on anti-retroviral drugs were included. The optimal HbA1c cut-points of 5.75% (39.3 mmol/mol) showed 54% sensitivity, 84% specificity for FPG-defined dysglycaemia, and 52% sensitivity, 85% specificity for OGTT-defined dysglycaemia. The HbA1c value of 5.85% (40.4 mmol/mol) (63% sensitivity, 99% specificity) was optimal for diabetes. The internationally advocated cut-point of 6.5% (48 mmol/mol) had 37% sensitivity and 99% specificity for diabetes, while HbA1c =5.7% (=39 mmol/mol) yielded similar performance with the study-specific cut-point for any dysglycaemia. MS prevalence by the JIS criteria (28.2%) increased to 29.7% when using HbA1c =5.75% (=39.3 mmol/mol) and to 32.9% with HbA1c =5.7% (=39 mmol/mol); agreement between the original and modified criteria was generally good.
Conclusions: This study agrees with the internationally recommended HbA1c cut-point for detecting dysglycaemia, but not for diabetes in HIV-infected Africans. In line with previous studies in general African populations, our findings suggest that similar factors interfere with HbA1c values regardless of HIV infection status. Replacing FPG-based with HbA1c-predicted dysglycaemia in the JIS criteria to diagnose MS is feasible in HIV-infected Africans.

Producers and sponsors

Primary investigators
Name Affiliation
Kim A. Nguyen Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, 7505, South Africa
Nasheeta Peer Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, 7505, South Africa
Anniza de Villiers Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, 7505, South Africa
Barbara Mukasa United Nations Population Fund (UNFPA), Mildmay, Uganda
Tandi E. Matsha Department of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, Cape Town, 7535, South Africa
Edward J. Mills Global Evaluation Science, Vancouver, Canada
Andre P. Kengne Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, 7505, South Africa

Data Collection

Dates of Data Collection
Start End
2014-03-01 2015-02-28
MEDAT Data Repository - SAMRC

© MEDAT Data Repository - SAMRC, All Rights Reserved.