Metabolic control and determinants among HIV-infected Type 2 diabetes mellitus patients attending a tertiary llinic in Botswana
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Date
2021-01-11Author
Rwegerera, Godfrey Mutashambara
Shailemo, Dorothea H.P.
Pina Rivera, Yordanka
Mokgosi, Kathryn O.
Bale, Portia
Oyewo, Taibat Aderonke
Diaz Luis, Bruno
Habte, Dereje
Godman, Brian
Publisher
Dove Medical Press Ltd, www.dovepress.comType
Published ArticleMetadata
Show full item recordAbstract
Purpose: We primarily aimed at determining the prevalence of metabolic syndrome and
abnormal individual metabolic control variables in HIV-infected participants as compared to
HIV-uninfected participants given current concerns. Our secondary objective was to determine
the predictors of metabolic syndrome and individual metabolic control variables among
the study participants to guide future management.
Patients and Methods: A descriptive, case-matched cross-sectional study for four months
from 15th June 2019 to 15th October 2019 at Block 6 Diabetes Reference Clinic in Gaborone,
Botswana. We compared the proportions of metabolic syndrome and individual metabolic
control variables based on gender and HIV status by means of bivariate analysis (Chi-squared
test or Fisher’s exact test) to determine factors associated with metabolic control. A p-value of
less than 0.05 was considered statistically significant.
Results: Overall, 86% of the study participants were found to have metabolic syndrome by
International Diabetes Federation (IDF) criteria with 79.8% among HIV-infected and 89.1%
among HIV-negative participants (p-value = 0.018). Older age was significantly associated
with metabolic syndrome (p-value = 0.008). Female gender was significantly associated with
metabolic syndrome as compared to male gender (P-value < 0.001), and with a statistically
significant higher proportion of low HDL-C compared to males (P-value < 0.001). Female
participants were significantly more likely to be obese as compared to males (P-value <
0.001). High triglycerides were more common in HIV-infected compared to HIV-negative
participants (P-value = 0.004). HIV-negative participants were more likely to be obese as
compared to HIV-infected participants (P-value = 0.003).
Conclusion: Metabolic syndrome is an appreciable problem in this tertiary clinic in Botswana for
both HIV-infected and HIV-negative participants. Future prospective studies are warranted in our
setting and similar sub-Saharan settings to enhance understanding of the role played by HAART in
causing the metabolic syndrome, and the implications for future patient management.