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Validity of hemoglobin A1c for diagnosing diabetes among people with and without HIV in Uganda
James Muchira1, Eileen Stuart-Shor2, Jen Manne-Goehler3,4
11 University of Massachusetts Boston, College of Nursing and Health Sciences, Boston, MA, USA.
Insights
Hemoglobin A1c (A1c) may underestimate diabetes in people living with HIV (PLWH) in Sub-Saharan Africa. A high A1c threshold showed poor sensitivity for diagnosing diabetes in this population.
Area of Science:
- Global Health
- Endocrinology
- Infectious Diseases
Background:
- Sub-Saharan Africa faces a dual burden of HIV and diabetes.
- Hemoglobin A1c (A1c) may inaccurately reflect glycemic control in people living with HIV (PLWH).
Purpose of the Study:
- To assess the diagnostic accuracy of A1c for diabetes in PLWH compared to HIV-uninfected individuals in rural Uganda.
- To evaluate A1c's validity using fasting blood glucose (FBG) as the reference standard.
Main Methods:
- A cohort study compared PLWH on antiretroviral therapy with age- and gender-matched HIV-uninfected controls.
- Pearson correlations and regression models assessed the relationship between A1c and FBG.
- Sensitivity and specificity of A1c for diagnosing diabetes (FBG ≥126 mg/dL) were calculated.
Main Results:
- A total of 212 participants (48% female, mean age 51.7 years) were enrolled.
- No significant differences in mean FBG or A1c were observed between PLWH and HIV-uninfected groups.
- A1c ≥6.5% demonstrated low sensitivity (46%) but high specificity (98%) for diabetes diagnosis.
Conclusions:
- The standard A1c threshold of ≥6.5% is insufficient for diagnosing diabetes in PLWH in this SSA setting.
- Further research is required to establish an optimal A1c cutoff for diabetes screening in Sub-Saharan Africa.
- The co-epidemic of HIV and diabetes necessitates validated diagnostic tools in SSA.
Abstract:
Sub-Saharan Africa (SSA) is facing a growing co-epidemic of chronic HIV infection and diabetes. Hemoglobin A1c (A1c) may underestimate glycemia among people living with HIV (PLWH). We estimated the validity of A1c to diagnose diabetes among PLWH and HIV-uninfected persons in rural Uganda. Data were derived from a cohort of PLWH and age- and gender-matched HIV-uninfected comparators. We compared A1c to fasting blood glucose (FBG) using Pearson correlations, regression models, and estimated the sensitivity and specificity of A1c for detecting diabetes with FBG ≥126 mg/dL as reference standard. Approximately half (48%) of the 212 participants were female, mean age of 51.7 years (SD = 7.0) at enrollment. All PLWH (n = 118) were on antiretroviral therapy for a median of 7.5 years with mean CD4 cell count of 442 cells/µL. Mean FBG (89.7 mg/dL) and A1c (5.6%) were not different between PLWH and HIV-uninfected ( P > 0.50) groups, but the HIV-uninfected group had a higher prevalence of A1c >5.7% (33% vs. 20%, P = 0.024). We found a relatively strong correlation between A1c and FBG (r = 0.67). An A1c ≥6.5% had a poor sensitivity (46%, 95% CI 26-67%) but high specificity (98%, 95% CI 96-99%) for detecting diabetes. More work is needed to define an optimal A1c for screening diabetes in SSA.
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