Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models

The incidence of chronic kidney disease (CKD) is increasing among people living with HIV (PLWH). Routine monitoring of indicators such as CD4:CD8 ratio might improve the early detection of CKD. Our objective was to identify clinically relevant CD4:CD8 ratio trajectories indicative of CKD risk. Parti...

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Main Authors: Alejandra Fonseca-Cuevas, Patrick Newsome, Lu Wang, Michelle Y. Chen, Chris G. Richardson, Mark Hull, Taylor McLinden, Silvia Guillemi, Rolando Barrios, Julio S. G. Montaner, Viviane D. Lima
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/15/2/385
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author Alejandra Fonseca-Cuevas
Patrick Newsome
Lu Wang
Michelle Y. Chen
Chris G. Richardson
Mark Hull
Taylor McLinden
Silvia Guillemi
Rolando Barrios
Julio S. G. Montaner
Viviane D. Lima
author_facet Alejandra Fonseca-Cuevas
Patrick Newsome
Lu Wang
Michelle Y. Chen
Chris G. Richardson
Mark Hull
Taylor McLinden
Silvia Guillemi
Rolando Barrios
Julio S. G. Montaner
Viviane D. Lima
author_sort Alejandra Fonseca-Cuevas
collection DOAJ
description The incidence of chronic kidney disease (CKD) is increasing among people living with HIV (PLWH). Routine monitoring of indicators such as CD4:CD8 ratio might improve the early detection of CKD. Our objective was to identify clinically relevant CD4:CD8 ratio trajectories indicative of CKD risk. Participants were ≥ 18 years old, initiated antiretroviral therapy between 2000 and 2016, and were followed for ≥6 months until 31 March 2017 or last contact date. Outcome was incidence of CKD. Growth mixture models (GMMs) and decay models were used to compare CD4:CD8 ratio trajectories. Following GMM, 4547 (93.5%) participants were classified in Class 1 with 5.4% developing CKD, and 316 (6.5%) participants were classified in Class 2 with 20.9% developing CKD. The final model suggested that participants in Class 2 had 8.72 times the incidence rate of developing CKD than those in Class 1. Exponential decay models indicated a significant CD4:CD8 ratio decline among Class 2 participants who developed CKD. Among those who developed CKD in Class 2, starting at 5.5 years of follow-up, the slope of their ratio trajectory curve changed significantly, and the rate of decline increased dramatically. Routine monitored CD4:CD8 ratios can be an effective strategy to identify early CKD risk among PLWH.
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spelling doaj.art-45eac98f33f545bb9adf7afee3e80a8a2023-11-16T23:48:18ZengMDPI AGViruses1999-49152023-01-0115238510.3390/v15020385Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture ModelsAlejandra Fonseca-Cuevas0Patrick Newsome1Lu Wang2Michelle Y. Chen3Chris G. Richardson4Mark Hull5Taylor McLinden6Silvia Guillemi7Rolando Barrios8Julio S. G. Montaner9Viviane D. Lima10British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaDepartment of Educational & Counselling Psychology & Special Education, University of British Columbia, Vancouver, BC V6T 1Z4, CanadaCentre for Health Evaluation and Outcome Sciences, Providence Health Care, Vancouver, BC V6Z 1Y6, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaDepartment of Family Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, CanadaThe incidence of chronic kidney disease (CKD) is increasing among people living with HIV (PLWH). Routine monitoring of indicators such as CD4:CD8 ratio might improve the early detection of CKD. Our objective was to identify clinically relevant CD4:CD8 ratio trajectories indicative of CKD risk. Participants were ≥ 18 years old, initiated antiretroviral therapy between 2000 and 2016, and were followed for ≥6 months until 31 March 2017 or last contact date. Outcome was incidence of CKD. Growth mixture models (GMMs) and decay models were used to compare CD4:CD8 ratio trajectories. Following GMM, 4547 (93.5%) participants were classified in Class 1 with 5.4% developing CKD, and 316 (6.5%) participants were classified in Class 2 with 20.9% developing CKD. The final model suggested that participants in Class 2 had 8.72 times the incidence rate of developing CKD than those in Class 1. Exponential decay models indicated a significant CD4:CD8 ratio decline among Class 2 participants who developed CKD. Among those who developed CKD in Class 2, starting at 5.5 years of follow-up, the slope of their ratio trajectory curve changed significantly, and the rate of decline increased dramatically. Routine monitored CD4:CD8 ratios can be an effective strategy to identify early CKD risk among PLWH.https://www.mdpi.com/1999-4915/15/2/385CD4:CD8 ratioHIVchronic kidney diseasegrowth mixture modelingdecay modelrisk factors
spellingShingle Alejandra Fonseca-Cuevas
Patrick Newsome
Lu Wang
Michelle Y. Chen
Chris G. Richardson
Mark Hull
Taylor McLinden
Silvia Guillemi
Rolando Barrios
Julio S. G. Montaner
Viviane D. Lima
Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
Viruses
CD4:CD8 ratio
HIV
chronic kidney disease
growth mixture modeling
decay model
risk factors
title Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
title_full Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
title_fullStr Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
title_full_unstemmed Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
title_short Identifying Longitudinal CD4:CD8 Ratio Trajectories Indicative of Chronic Renal Disease Risk among People Living with HIV: An Application of Growth Mixture Models
title_sort identifying longitudinal cd4 cd8 ratio trajectories indicative of chronic renal disease risk among people living with hiv an application of growth mixture models
topic CD4:CD8 ratio
HIV
chronic kidney disease
growth mixture modeling
decay model
risk factors
url https://www.mdpi.com/1999-4915/15/2/385
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