Impact of First-Line Highly Active Antiretroviral Therapy on Metabolic Syndrome: Predictors and Comparative Analysis

Authors

  • Ahmed Ibrahim Abdeltawwab Hussein Department of Hospital & Clinical Pharmacy, Faculty of Pharmacy, University of Cyberjaya, 63000 Cyberjaya, Selangor
  • Rosnani Hashim Department of Hospital & Clinical Pharmacy, Faculty of Pharmacy, University of Cyberjaya, 63000 Cyberjaya, Selangor
  • Zainol Akbar Zainal Centre for Quality Management of Medicine, Faculty of Pharmacy, UniversitiKebangsaan Malaysia, 50300 Kuala Lumpur,
  • Shairyzah Ahmad Hisham School of Pharmacy, University of Nottingham Malaysia, 43500 Semenyih, Selangor
  • Syamhanin Adnan Department of Pharmacy, Hospital Sungai Buloh, 47000 Sungai Buloh, Selangor
  • Preethi Raghavan Department of Pharmacy, Hospital Sungai Buloh, 47000 Sungai Buloh, Selangor
  • Siti Azdiah Abdul Aziz Centre for Quality Management of Medicine, Faculty of Pharmacy, UniversitiKebangsaan Malaysia, 50300 Kuala Lumpur
  • Noorlina Binti Nordin Department of Infectious Disease, Hospital Tengku Ampuan Afzan, 25100 Kuantan, Pahang

DOI:

https://doi.org/10.5530/ctbp.2025.4s.1

Keywords:

Predictors, Metabolic syndrome, First-line HAART, HIV, Malaysia

Abstract

Even though highly active antiretroviral therapy (HAART) is successful in decreasing HIV-related illness and death, concerns about metabolic syndrome (MetS) are increasing. However, there is limited evidence on the predictors of MetS among adults undergoing first-line HAART regimens in Malaysia. This study aimed to compare the MetS components between first-line HAART regimens containing integrase strand transfer inhibitor (INSTI) and non-INSTI regimens at baseline and 12-month follow-up. Additionally, it aimed to identify predictors of MetS among HIV patients on first-line HAART. This prospective cohort study included adults diagnosed with HIV from January 2023 till April 2023 and receiving first-line HAART for a minimum of 6 months, undergoing follow-up at Hospital Sungai Buloh, Malaysia. Data from 210 patients, mostly males (91.9%) and Malays (47.1%), were analyzed. Significant mean differences in MetS components were observed between patients receiving INSTI and non-INSTI regimens. Multivariate binary logistic regression analysis identified depressive disorders, non-INSTI HAART regimens, and age as significant predictors of MetS among HIV patients. The incidence of MetS was considerable among the study population, highlighting the significance of routinely monitoring patients' clinical and laboratory data and promoting health education to effectively manage and avoid HIV patients' metabolic illnesses.

Impact of First-Line Highly Active Antiretroviral Therapy on Metabolic Syndrome: Predictors and Comparative Analysis

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Published

30-10-2025

How to Cite

Hussein, A. I. A. ., Hashim, R. ., Zainal, Z. A. ., Hisham, S. A. ., Adnan, S. ., Raghavan, P. ., Aziz, S. A. A. ., & Nordin, N. B. . (2025). Impact of First-Line Highly Active Antiretroviral Therapy on Metabolic Syndrome: Predictors and Comparative Analysis. Current Trends in Biotechnology and Pharmacy, 19(4s), 1–11. https://doi.org/10.5530/ctbp.2025.4s.1