# Time-Homogeneous Markov Modeling of HIV Progression in Patients Receiving Antiretroviral Therapy Treatment in the Ashanti Region, Ghana

**Authors:** Michael Fosu Ofori, Gerald Ohene Agyekum, Michael Arthur Ofori, Samuel Akwasi Adarkwa

PMC · DOI: 10.1155/cjid/5549653 · The Canadian Journal of Infectious Diseases & Medical Microbiology = Journal Canadien des Maladies Infectieuses et de la Microbiologie Médicale · 2025-04-22

## TL;DR

This study uses a mathematical model to analyze how HIV progresses in patients on treatment in Ghana, showing that early treatment helps maintain better health.

## Contribution

The novel contribution is applying a 5-state Markov model to HIV progression in Ghana, incorporating TB coinfection as a covariate.

## Key findings

- Patients with CD4 counts ≥ 500 cells/mm³ spent more time before transitioning to lower CD4 levels.
- Transition from 200–350 cells/mm³ to death was more likely than recovery to higher CD4 levels.
- TB coinfection did not significantly alter transition probabilities in this cohort.

## Abstract

The global HIV/AIDS pandemic remains a profound public health challenge, with substantial impacts on mortality and morbidity worldwide. In Ghana, where HIV prevalence persists, understanding disease progression among patients receiving antiretroviral therapy (ART) is crucial. This study, conducted in the Ashanti Region, employs a 5-state continuous-time Markov multistate model to analyze HIV progression based on CD4 cell counts, employing tuberculosis (TB) coinfection as a covariate. A retrospective cohort of 416 patients from St. Martins Catholic Hospital between 2000 and 2019 was studied. Transition intensities, sojourn time and probabilities between CD4 states, and the impact of TB coinfection were evaluated. The results showed that patients with CD4 counts ≥ 500 cells/mm3 spent more time before transitioning to lower CD4 levels, indicating the effectiveness of ART in controlling the disease at this level. However, the transition from 200–350 cells/mm3 to death was more likely than recovery to CD4 counts ≥ 500 cells/mm3, indicating the increased risk of mortality once CD4 counts drop significantly. TB coinfection did not significantly alter these transition probabilities, which may be due to the effective management of both HIV and TB in this cohort, emphasizing the need for integrated care strategies. This study emphasizes the importance of tailored interventions to manage HIV/AIDS effectively, particularly in regions with high disease burden. It is recommended that initiating treatment quickly can help maintain higher CD4 counts and improve survival.

## Linked entities

- **Diseases:** tuberculosis (MONDO:0018076), TB (MONDO:0018076)

## Full-text entities

- **Genes:** CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}
- **Diseases:** TB coinfection (MESH:D060085), tuberculosis (TB) (MESH:D014376), HIV (MESH:D015658), mortality (MESH:D003643)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12041622/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12041622/full.md

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Source: https://tomesphere.com/paper/PMC12041622