Determinants of CD4 Immune Recovery Among Individuals on Antiretroviral Therapy in South Africa : A National Analysis
This report presents the findings of a large national analysis of determinants of CD4 immune recovery among individuals on antiretroviral therapy in South Africa. It is part of the second phase of a series of analytical and evaluation studies contr...
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| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2016
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| Online Access: | http://documents.worldbank.org/curated/en/2016/02/26815272/Determinants-of-CD4-immune-recovery-among-individuals-on-antiretroviral-therapy-in-South-Africa-a-national-analysis http://hdl.handle.net/10986/25400 |
| Summary: | This report presents the findings of a
large national analysis of determinants of CD4 immune
recovery among individuals on antiretroviral therapy in
South Africa. It is part of the second phase of a series of
analytical and evaluation studies contributing to the design
of an impact and process evaluation of South Africa’s
National Adherence Guidelines for Chronic Diseases. The
analysis was conducted by the National Institute for
Communicable Diseases (NICD) in collaboration with the
National Health Laboratory Service (NHLS), Boston
University/Health Economics and Epidemiology Research Office
(HE2RO), the National Department of Health of South Africa,
and the World Bank. The analysis used a novel database
created through probabilistic matching of routine CD4 count
and viral load data to unique individuals. The report
describes the proportions of individuals 15 years or older
who initiated antiretroviral therapy between 2010 and 2014
and achieved CD4 count recovery to 200, 350 and 500
cells/μl, their time to CD4 count recovery, and extent of
recovery in the first 12 months of follow up. The cohort
included 1,070,900 individuals (4.37 million CD4 tests).
Findings suggest that among South African HIV patients under
treatment, CD4 immune recovery is associated with age, sex,
baseline CD4 count and viral suppression. Demographic CD4
recovery patterns can inform CD4 monitoring policies in
resource-constrained settings. |
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