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Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making
BACKGROUND: Antiretroviral treatment (ART) has been associated with the development of certain cardiometabolic diseases (CMDs). The burden of CMDs amongst ART-experienced patients in sub-Saharan Africa was unknown. OBJECTIVE: We quantified the burden of CMDs and identified the associated risk factor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252144/ https://www.ncbi.nlm.nih.gov/pubmed/34230861 http://dx.doi.org/10.4102/sajhivmed.v22i1.1246 |
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author | Sebilo, Motlalepula Ledibane, Neo R.T. Takuva, Simbarashe |
author_facet | Sebilo, Motlalepula Ledibane, Neo R.T. Takuva, Simbarashe |
author_sort | Sebilo, Motlalepula |
collection | PubMed |
description | BACKGROUND: Antiretroviral treatment (ART) has been associated with the development of certain cardiometabolic diseases (CMDs). The burden of CMDs amongst ART-experienced patients in sub-Saharan Africa was unknown. OBJECTIVE: We quantified the burden of CMDs and identified the associated risk factors in a large treatment cohort on ART at a high-volume facility in Lesotho. METHODS: In this retrospective cohort study, we extracted data from the daily dispensing electronic system and routine clinical records of 785 adults on ART between 2011 and 2015 in Maseru, Lesotho. CMD was defined as a diagnosis of hypertension, diabetes mellitus or dyslipidaemia (singly or collectively). Descriptive statistics were used to describe the disease burden; Kaplan–Meier curves and cause-specific Cox proportional hazards models were fitted to examine the impact of the ART regimen and identify the risk factors associated with the occurrence of CMD. RESULTS: Of the 785 participants, 473 (60%) were women. The median age of the group was 42 years, interquartile range (IQR), 36–51 years. The overall incidence of CMD was 5.6 (95% confidence interval [CI] = 4.4–7.1) per 100 person-months of follow-up. The median time to onset of CMD was 16.6 months (IQR = 7.4–23.4). ART was not associated with the occurrence of CMD (cause-specific hazard ratio [CHR] = 1.55; 95% CI = 0.14–16.85; P = 0.72). Higher body mass index (BMI) was associated with the occurrence of diabetes mellitus (CHR = 1.19; 95% CI = 1.14–1.38; P = 0.026). CONCLUSION: The incidence of CMD in this relatively young patient population is low yet noteworthy. We recommend that patients living with HIV and AIDS should be routinely screened for CMD. Higher BMI is generally associated with the occurrence of CMD. |
format | Online Article Text |
id | pubmed-8252144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-82521442021-07-02 Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making Sebilo, Motlalepula Ledibane, Neo R.T. Takuva, Simbarashe South Afr J HIV Med Original Research BACKGROUND: Antiretroviral treatment (ART) has been associated with the development of certain cardiometabolic diseases (CMDs). The burden of CMDs amongst ART-experienced patients in sub-Saharan Africa was unknown. OBJECTIVE: We quantified the burden of CMDs and identified the associated risk factors in a large treatment cohort on ART at a high-volume facility in Lesotho. METHODS: In this retrospective cohort study, we extracted data from the daily dispensing electronic system and routine clinical records of 785 adults on ART between 2011 and 2015 in Maseru, Lesotho. CMD was defined as a diagnosis of hypertension, diabetes mellitus or dyslipidaemia (singly or collectively). Descriptive statistics were used to describe the disease burden; Kaplan–Meier curves and cause-specific Cox proportional hazards models were fitted to examine the impact of the ART regimen and identify the risk factors associated with the occurrence of CMD. RESULTS: Of the 785 participants, 473 (60%) were women. The median age of the group was 42 years, interquartile range (IQR), 36–51 years. The overall incidence of CMD was 5.6 (95% confidence interval [CI] = 4.4–7.1) per 100 person-months of follow-up. The median time to onset of CMD was 16.6 months (IQR = 7.4–23.4). ART was not associated with the occurrence of CMD (cause-specific hazard ratio [CHR] = 1.55; 95% CI = 0.14–16.85; P = 0.72). Higher body mass index (BMI) was associated with the occurrence of diabetes mellitus (CHR = 1.19; 95% CI = 1.14–1.38; P = 0.026). CONCLUSION: The incidence of CMD in this relatively young patient population is low yet noteworthy. We recommend that patients living with HIV and AIDS should be routinely screened for CMD. Higher BMI is generally associated with the occurrence of CMD. AOSIS 2021-06-28 /pmc/articles/PMC8252144/ /pubmed/34230861 http://dx.doi.org/10.4102/sajhivmed.v22i1.1246 Text en © 2021. The Authors https://creativecommons.org/licenses/by/4.0/Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Sebilo, Motlalepula Ledibane, Neo R.T. Takuva, Simbarashe Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title | Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title_full | Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title_fullStr | Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title_full_unstemmed | Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title_short | Incidence of cardiometabolic diseases in a Lesotho HIV cohort: Evidence for policy decision-making |
title_sort | incidence of cardiometabolic diseases in a lesotho hiv cohort: evidence for policy decision-making |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252144/ https://www.ncbi.nlm.nih.gov/pubmed/34230861 http://dx.doi.org/10.4102/sajhivmed.v22i1.1246 |
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