African Health Sciences
Makerere University Medical School
Vol. 20, No. 4, 2020, pp. 1546-1561
Bioline Code: hs20111
Full paper language: English
Document type: Research Article
Document available free of charge
African Health Sciences, Vol. 20, No. 4, 2020, pp. 1546-1561
© Copyright 2020 - Yirga AA et al.
Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa|
Yirga, Ashenfai A; Melesse, Sileshi F; Mwambi, Henry G & Ayele, Dawit G
Background: This study aims to make use of a longitudinal data modelling approach to analyze data on the number of
CD4+cell counts measured repeatedly in HIV-1 Subtype C infected women enrolled in the Acute Infection Study of the
Centre for the AIDS Programme of Research in South Africa.
Methodology: This study uses data from the CAPRISA 002 Acute Infection Study, which was conducted in South Africa.
This cohort study observed N=235 incident HIV-1 positive women whose disease biomarkers were measured repeatedly at
least four times on each participant.
Results: From the findings of this study, post-HAART initiation, baseline viral load, and the prevalence of obese nutrition
status were found to be major significant factors on the prognosis CD4+ count of HIV-infected patients.
Conclusion: Effective HAART initiation immediately after HIV exposure is necessary to suppress the increase of viral
loads to induce potential ART benefits that accrue over time. The data showed evidence of strong individual-specific effects
on the evolution of CD4+ counts. Effective monitoring and modelling of disease biomarkers are essential to help inform
methods that can be put in place to suppress viral loads for maximum ART benefits that can be accrued over time at an
Random-effects model; spatial covariance structure; CD4+ count; HAART; CAPRISA.