Application of Mixed Models in Analyzing CD4 Cell Counts for HIV Patients
Vol. 9 (2024), Artículos de investigación
Vol. 9 (2024)

Application of Mixed Models in Analyzing CD4 Cell Counts for HIV Patients

Artículos de investigación
https://doi.org/10.23850/25393871.7192
Published 2025-09-15
Heber E. Bermudez G
https://orcid.org/0009-0000-1598-0927
Mónica Liliana Arteaga Sierra
Centro de Servicios de Salud, SENA
https://orcid.org/0000-0002-6433-6086
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Keywords

Survival analysis
Longitudinal statistics
Statistical inference
Hierarchical models
Intra-patient variability
HIV/AIDS Análisis de supervivencia
Estadística longitudinal
Inferencia estadística
Modelos jerárquicos
Variabilidad intra-paciente
VIH/SIDA

How to Cite

Bermudez G, H. E., & Arteaga Sierra, M. L. (2025). Application of Mixed Models in Analyzing CD4 Cell Counts for HIV Patients. Ciencia, Tecnología E Innovación En Salud, 9, 23–34. https://doi.org/10.23850/25393871.7192
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Abstract

This study evaluates the effectiveness of mixed models in analyzing the CD4 glycoprotein count in HIV patients with advanced immune suppression, using data from the AIDS Clinical Trials Group (ACTG) study 193A in the United States. The objective was to identify factors influencing CD4 count variability and to assess the effectiveness of different antiretroviral treatments. Mixed models were applied, considering fixed and random effects for variables such as age, sex, type of treatment, and follow-up time. Several models were compared, highlighting the model with treatment-sex interaction and quadratic terms for time, which incorporated random intercepts and slopes. This model showed the best fit according to AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion) criteria, effectively capturing the declining trend in CD4 counts. The analysis demonstrates that mixed models are powerful tools for understanding the complexity of longitudinal data in clinical contexts, providing a solid foundation for optimizing therapeutic decision-making in AIDS patients.

https://doi.org/10.23850/25393871.7192
PDF (Español (España))

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Copyright (c) 2025 Servicio Nacional de Aprendizaje (SENA)

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