Literature DB >> 25119689

Clinical impact of altered T-cell homeostasis in treated HIV patients enrolled in a large observational cohort.

Patricia Ndumbi1, Jennifer Gillis, Janet M Raboud, Curtis Cooper, Robert S Hogg, Julio S G Montaner, Ann N Burchell, Mona R Loutfy, Nima Machouf, Marina B Klein, Chris M Tsoukas.   

Abstract

OBJECTIVE(S): We investigated the probability of transitioning in or out of the CD3⁺ T-cell homeostatic range during antiretroviral therapy, and we assessed the clinical impact of lost T-cell homeostasis (TCH) on AIDS-defining illnesses (ADIs) or death.
DESIGN: Within the Canadian Observational Cohort (CANOC), we studied 4463 antiretroviral therapy (ART)-naive HIV-positive patients initiating combination ART (cART) between 2000 and 2010.
METHODS: CD3⁺ trajectories were estimated using a four state Markov model. CD3⁺ T-cel percentage states were classified as follows: very low (<50%), low (50-64%), normal (65-85%), and high (>85%). Covariates associated with transitioning between states were examined. The association between CD3⁺ T-cell percentage states and time to ADI/death from cART initiation was determined using Cox proportional hazards models.
RESULTS: A total of 4463 patients were followed for a median of 3 years. Two thousand, five hundred and eight (56%) patients never transitioned from their baseline CD3⁺ T-cell percentage state; 85% of these had normal TCH. In multivariable analysis, individuals with time-updated low CD4⁺ cell count, time-updated detectable viral load, older age, and hepatitis C virus (HCV) coinfection were less likely to maintain TCH. In the multivariable proportional hazards model, both very low and high CD3⁺ T-cell percentages were associated with increased risk of ADI/death [adjusted hazard ratio=1.91 (95% confidence interval, CI: 1.27-2.89) and hazard ratio=1.49 (95% CI: 1.13-1.96), respectively].
CONCLUSION: Patients with very low or high CD3⁺ T-cell percentages are at risk for ADIs/death. To our knowledge, this is the first study linking altered TCH and morbidity/mortality in cART-treated HIV-positive patients.

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Year:  2013        PMID: 25119689     DOI: 10.1097/01.aids.0000432471.84497.bc

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  3 in total

1.  Assessing type I error and power of multistate Markov models for panel data-A simulation study.

Authors:  Christy Cassarly; Renee' H Martin; Marc Chimowitz; Edsel A Peña; Viswanathan Ramakrishnan; Yuko Y Palesch
Journal:  Commun Stat Simul Comput       Date:  2016-09-23       Impact factor: 1.118

2.  Delay in cART initiation results in persistent immune dysregulation and poor recovery of T-cell phenotype despite a decade of successful HIV suppression.

Authors:  Patricia Ndumbi; Julian Falutz; Nitika Pant Pai; Christos M Tsoukas
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

3.  A Multi-State Model Examining Patterns of Transitioning Among States of Engagement in Care in HIV-Positive Individuals Initiating Combination Antiretroviral Therapy.

Authors:  Jennifer Gillis; Mona Loutfy; Ahmed M Bayoumi; Tony Antoniou; Ann N Burchell; Sharon Walmsley; Curtis Cooper; Marina B Klein; Nima Machouf; Julio S G Montaner; Sean B Rourke; Christos Tsoukas; Robert Hogg; Janet Raboud
Journal:  J Acquir Immune Defic Syndr       Date:  2016-12-15       Impact factor: 3.731

  3 in total

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