2023
DOI: 10.21203/rs.3.rs-2459486/v1
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Burden of HIV and treatment outcomes among TB patients in rural Kenya: a 9-year longitudinal study.

Abstract: Background Although tuberculosis (TB) patients coinfected with HIV are at risk of poor treatment outcomes, there is paucity of data on changing trends of TB/HIV co-infection and their treatment outcomes. This study aims to estimate the burden of TB/HIV co-infection over time, describe the treatment available to TB/HIV patients and estimate the effect of TB/HIV co-infection on TB treatment outcomes. Methods This was a retrospective data analyses from TB surveillance in two counties in Kenya (Nyeri and Kilifi)… Show more

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“…According to guidance of the World Health Organisation at that time [57], initiation of empiric TB treatment was encouraged for individuals with HIV coinfection and suspected TB disease, which could lead to instances of missing bacteriological status when access to TB testing was impractical or delayed [14]. Additionally, missing HIV status is likely not at random (conditional on measured covariates), as seen in other studies [58,59] with missingness associated with a higher probability of incomplete treatment, treatment failure, and death [60,61]-that is, the missing HIV status values affect the missingness probability. Ten imputations were performed separately by HIV-status, using identical imputation methods for missing baseline and outcome values.…”
Section: Multivariable Analysesmentioning
confidence: 99%
“…According to guidance of the World Health Organisation at that time [57], initiation of empiric TB treatment was encouraged for individuals with HIV coinfection and suspected TB disease, which could lead to instances of missing bacteriological status when access to TB testing was impractical or delayed [14]. Additionally, missing HIV status is likely not at random (conditional on measured covariates), as seen in other studies [58,59] with missingness associated with a higher probability of incomplete treatment, treatment failure, and death [60,61]-that is, the missing HIV status values affect the missingness probability. Ten imputations were performed separately by HIV-status, using identical imputation methods for missing baseline and outcome values.…”
Section: Multivariable Analysesmentioning
confidence: 99%