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A mechanistic model for long-term immunological outcomes in South African HIV-infected children and adults receiving ART

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dc.contributor.author Ujeneza, Eva Liliane
dc.contributor.author Ndifon, Wilfred
dc.contributor.author Sawry, Shobna
dc.contributor.author Fatti, Geoffrey
dc.contributor.author Riou, Julien
dc.contributor.author Davies, Mary-Ann
dc.contributor.author Nieuwoudt, Martin
dc.date.accessioned 2021-08-25T06:59:55Z
dc.date.available 2021-08-25T06:59:55Z
dc.date.issued 2021
dc.identifier.uri https://elifesciences.org/articles/42390
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/5086
dc.description.abstract Long-term effects of the growing population of HIV-treated people in Southern Africa on individuals and the public health sector at large are not yet understood. This study proposes a novel ‘ratio’ model that relates CD4+ T-cell counts of HIV-infected individuals to the CD4+ count reference values from healthy populations. We use mixed-effects regression to fit the model to data from 1616 children (median age 4.3 years at ART initiation) and 14,542 adults (median age 36 years at ART initiation). We found that the scaled carrying capacity, maximum CD4+ count relative to an HIV-negative individual of similar age, and baseline scaled CD4+ counts were closer to healthy values in children than in adults. Post-ART initiation, CD4+ growth rate was inversely correlated with baseline CD4+ T-cell counts, and consequently higher in adults than children. Our results highlight the impacts of age on dynamics of the immune system of healthy and HIV-infected individuals. en_US
dc.language.iso en en_US
dc.publisher elife en_US
dc.subject Immunology en_US
dc.subject CD4+ count en_US
dc.title A mechanistic model for long-term immunological outcomes in South African HIV-infected children and adults receiving ART en_US
dc.type Article en_US


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