Affiliation:
1. Muhimbili University of Health and Allied Sciences
2. Addis Ababa University
3. Zewditu Memorial Hospital, ART Clinic
Abstract
Abstract
Background
Although marked improvements in life expectancy have been observed with the rapid expansion of Antiretroviral Therapy (ART), Cardiometabolic Syndrome (CMetS) is becoming a serious challenge for People Living with HIV/AIDS (PLWHA). The present study aimed in determining biomarkers and prevalence of CMetS in PLWHA.
Methods
A hospital-based, observational study was carried out between January 2019 & February 2020 among HIV infected adults (n = 288). Binary logistic regression was used to estimate odds ratio (OR) and corresponding 95% confidence interval (CI) for the association between the outcomes against the predictor variables.
Results
The current study revealed that the prevalence of CMetS was 28.5% (82/288) using the National Cholesterol Education Program (NCEP)-2005 definition; and it was 43.5% (126/288) using the International Diabetes Federation (IDF)-2005. Male gender was less likely to be associated with CMetS (OR = .086, C.I. 0.025–0.292, p < 0.001) using the NCEP-2005 definition. Individuals with longer duration on ART have an increased odds of CMetS using both the NCEP-2005 (OR = 1.024, C.I. 1.005–1.043, p = 0.014) and the IDF-2005 (OR = 1.251, C.I. 1.061–1.472, p = 0.007) definitions. The age at which ART initiated yet have an impact on the outcomes of CMetS (NCEP-2005: OR = 1.27, C.I. 1.031–1.564, p = 0.025), indicating that individuals who started ART treatment at older age are more likely to have CMetS than their younger counterparts. The study further verified that, individuals with increased waist-grid (central adiposity) were more likely to have CMetS using both the NCEP-2005 (OR = 1.21, C.I. 1.029–1.418, p = 0.021) and the IDF-2005 (OR = 1.730 C.I. 1.454–2.058, p < 0.001) definitions. PLWHA with increased in DBP (OR = 1.164, C.I.1.080–1.254, p < 0.001), Triglyceride (OR = 1.027, C.I. 0.015–0.039, p < 0.001), and low density lipoproteins (OR = 1.075, C.I. 0.020–0.134, p = 0.007) were more likely to have CMetS using the NCEP-2005 definition. PLWHA without comorbidity were less likely to have CMetS (NCEP-2005: OR = 0.086, C.I. 0.025–0.292, p < 0.001).
Conclusions
The prevalence of CMetS in the study area was high. Risk factors associated with CMetS were waist circumference, gender, duration on ART; ART initiated age, waist-grid, and comorbidity. Biomarkers that were more likely contributed to the prevalence of CMetS include triglyceride, low density lipoproteins, and systolic blood pressure.
Publisher
Research Square Platform LLC