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Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana

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 syn...

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Autores principales: Rwegerera, Godfrey Mutashambara, Shailemo, Dorothea H P, Pina Rivera, Yordanka, Mokgosi, Kathryn O, Bale, Portia, Oyewo, Taibat Aderonke, Luis, Bruno Diaz, Habte, Dereje, Godman, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810972/
https://www.ncbi.nlm.nih.gov/pubmed/33469326
http://dx.doi.org/10.2147/DMSO.S285720
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author Rwegerera, Godfrey Mutashambara
Shailemo, Dorothea H P
Pina Rivera, Yordanka
Mokgosi, Kathryn O
Bale, Portia
Oyewo, Taibat Aderonke
Luis, Bruno Diaz
Habte, Dereje
Godman, Brian
author_facet Rwegerera, Godfrey Mutashambara
Shailemo, Dorothea H P
Pina Rivera, Yordanka
Mokgosi, Kathryn O
Bale, Portia
Oyewo, Taibat Aderonke
Luis, Bruno Diaz
Habte, Dereje
Godman, Brian
author_sort Rwegerera, Godfrey Mutashambara
collection PubMed
description 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.
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spelling pubmed-78109722021-01-18 Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana Rwegerera, Godfrey Mutashambara Shailemo, Dorothea H P Pina Rivera, Yordanka Mokgosi, Kathryn O Bale, Portia Oyewo, Taibat Aderonke Luis, Bruno Diaz Habte, Dereje Godman, Brian Diabetes Metab Syndr Obes Original Research 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. Dove 2021-01-11 /pmc/articles/PMC7810972/ /pubmed/33469326 http://dx.doi.org/10.2147/DMSO.S285720 Text en © 2021 Rwegerera et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Rwegerera, Godfrey Mutashambara
Shailemo, Dorothea H P
Pina Rivera, Yordanka
Mokgosi, Kathryn O
Bale, Portia
Oyewo, Taibat Aderonke
Luis, Bruno Diaz
Habte, Dereje
Godman, Brian
Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title_full Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title_fullStr Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title_full_unstemmed Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title_short Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana
title_sort metabolic control and determinants among hiv-infected type 2 diabetes mellitus patients attending a tertiary clinic in botswana
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810972/
https://www.ncbi.nlm.nih.gov/pubmed/33469326
http://dx.doi.org/10.2147/DMSO.S285720
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