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DOI 10.1371/journal.pone.0223411

Медицинская библиотека · PloS one · 2019

Predictors of mortality within the first year of initiating antiretroviral therapy in urban and rural Kenya: A prospective cohort study.

Silverman Rachel A, John-Stewart Grace C, Beck Ingrid A, Milne Ross, Kiptinness Catherine, McGrath Christine J, Richardson Barbra A, Chohan Bhavna, Sakr Samah R, Frenkel Lisa M, Chung Michael H

СтатьяResearch Support, American Recovery and Reinvestment ActПоддержка NIH: внешняя программаПоддержка правительства СШАПоддержка службы здравоохранения СШАПеревод в очереди

Аннотация

INTRODUCTION

Despite increased treatment availability, HIV-infected individuals continue to start antiretroviral therapy (ART) late in disease progression, increasing early mortality risk.

MATERIALS AND

METHODS

Nested prospective cohort study within a randomized clinical trial of adult patients initiating ART at clinics in urban Nairobi and rural Maseno, Kenya, between 2013-2014. We estimated mortality incidence rates following ART initiation and used Cox proportional hazards regression to identify predictors of mortality within 12 months of ART initiation. Analyses were stratified by clinic site to examine differences in mortality correlates and risk by location.

RESULTS

Among 811 participants initiated on ART, the mortality incidence rate within a year of initiating ART was 7.44 per 100 person-years (95% CI 5.71, 9.69). Among 207 Maseno and 612 Nairobi participants initiated on ART, the mortality incidence rates (per 100 person-years) were 12.78 (95% CI 8.49, 19.23) and 5.72 (95% CI 4.05, 8.09). Maseno had a 2.20-fold greater risk of mortality than Nairobi (95% CI 1.29, 3.76; P = 0.004). This association remained [adjusted hazard ratio (HR) = 2.09 (95% CI 1.17, 3.74); P = 0.013] when adjusting for age, gender, education, pre-treatment drug resistance (PDR), and CD4 count, but not when adjusting for BMI. In unadjusted analyses, other predictors (P<0.05) of mortality included male gender (HR = 1.74), age (HR = 1.04 for 1-year increase), fewer years of education (HR = 0.92 for 1-year increase), unemployment (HR = 1.89), low body mass index (BMI<18.5 m/kg2; HR = 4.99), CD4 count <100 (HR = 11.67) and 100-199 (HR = 3.40) vs. 200-350 cells/μL, and pre-treatment drug resistance (PDR; HR = 2.49). The increased mortality risk associated with older age, males, and greater education remained when adjusted for location, age, education and PDR, but not when adjusted for BMI and CD4 count. PDR remained associated with increased mortality risk when adjusted for location, age, gender, education, and BMI, but not when adjusted for CD4 count. CD4 and BMI associations with increased mortality risk persisted in multivariable analyses. Despite similar baseline CD4 counts across locations, mortality risk associated with low CD4 count, low BMI, and PDR was greater in Maseno than Nairobi in stratified analyses.

CONCLUSIONS

High short-term post-ART mortality was observed, partially due to low CD4 count and BMI at presentation, especially in the rural setting. Male gender, older age, and markers of lower socioeconomic status were also associated with greater mortality risk. Engaging patients earlier in HIV infection remains critical. PDR may influence short-term mortality and further studies to optimize management will be important in settings with increasing PDR.

Для цитирования: Silverman Rachel A, John-Stewart Grace C, Beck Ingrid A, Milne Ross, Kiptinness Catherine, McGrath Christine J, Richardson Barbra A, Chohan Bhavna, Sakr Samah R, Frenkel Lisa M, Chung Michael H. Predictors of mortality within the first year of initiating antiretroviral therapy in urban and rural Kenya: A prospective cohort study.. PloS one. 2019. DOI: 10.1371/journal.pone.0223411.

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