Literature DB >> 28604323

Analysis of HIV disease burden by calculating the percentages of patients with CD4 counts <100 cells/µL across 52 districts reveals hot spots for intensified commitment to programmatic support.

Lindi Marie Coetzee1, Naseem Cassim, Deborah Kim Glencross.   

Abstract

BACKGROUND: South Africa (SA)'s Comprehensive HIV and AIDS Care, Management and Treatment (CCMT) programme has reduced new HIV infections and HIV-related deaths. In spite of progress made, 11.2% of South Africans (4.02 million) were living with HIV in 2015.
OBJECTIVE: The National Health Laboratory Service (NHLS) in SA performs CD4 testing in support of the CCMT programme and collates data through the NHLS Corporate Data Warehouse. The objective of this study was to assess the distribution of CD4 counts &amp;lt;100 cells/µL (defining severely immunosuppressed HIV-positive patients) and &amp;gt;500 cells/µL (as an HIV-positive 'wellness' indicator).
METHODS: CD4 data were extracted for the financial years 2010/11 and 2014/15, according to the district where the test was ordered, for predefined CD4 ranges. National and provincial averages of CD4 counts &amp;lt;100 and &amp;gt;500 cells/µL were calculated. Data were analysed using Stata 12 and mapping was done with ArcGIS software, reporting percentages of CD4 counts &amp;lt;100 and &amp;gt;500 cells/µL by district.
RESULTS: The national average percentage of patients with CD4 counts &amp;lt;100 cells/µL showed a marked decrease (by 22%) over the 5-year study period, with a concurrent increase in CD4 counts &amp;gt;500 cells/µL (by 57%). District-by-district analysis showed that in 2010/11, 44/52 districts had &amp;gt;10% of CD4 samples with counts &amp;lt;100 cells/µL, decreasing to only 17/52 districts by 2014/15. Overall, districts in the Western Cape and KwaZulu-Natal had the lowest percentages of CD4 counts &amp;lt;100 cells/µL, as well as the highest percentages of counts &amp;gt;500 cells/µL. In contrast, in 2014/15, the highest percentages of CD4 counts &amp;lt;100 cells/µL were noted in the West Rand (Gauteng), Vhembe (Limpopo) and Nelson Mandela Bay (Eastern Cape) districts, where the lowest percentages of counts &amp;gt;500 cells/µL were also noted.
CONCLUSIONS: The percentages of CD4 counts &amp;lt;100 cells/µL highlighted here reveal districts with positive change suggestive of programmatic improvements, and also highlight districts requiring local interventions to achieve the UNAIDS/SA National Department of Health 90-90-90 HIV treatment goals. The study further underscores the value of using NHLS laboratory data, an underutilised national resource, to leverage laboratory test data to enable a more comprehensive understanding of programme-specific health indicators.

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Year:  2017        PMID: 28604323     DOI: 10.7196/SAMJ.2017.v107i6.11311

Source DB:  PubMed          Journal:  S Afr Med J


  11 in total

1.  Assessing CD4 rejections across a national laboratory service for 2018 in South Africa: highlighting the importance of adherence to national handbook guidelines.

Authors:  Naseem Cassim; Ernest Philani Buthelezi; Lindi Marie Coetzee; Deborah Kim Glencross
Journal:  J Public Health Afr       Date:  2022-05-24

2.  Newly implemented community CD4 service in Tshwaragano, Northern Cape province, South Africa, positively impacts result turn-around time.

Authors:  Lindi-Marie Coetzee; Naseem Cassim; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2022-06-03

3.  Using Systematized Nomenclature of Medicine clinical term codes to assign histological findings for prostate biopsies in the Gauteng province, South Africa: Lessons learnt.

Authors:  Naseem Cassim; Ahsan Ahmad; Reubina Wadee; Jaya A George; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2020-09-28

4.  Performance verification of the new fully automated Aquios flow cytometer PanLeucogate (PLG) platform for CD4-T-lymphocyte enumeration in South Africa.

Authors:  Lindi-Marie Coetzee; Deborah K Glencross
Journal:  PLoS One       Date:  2017-11-03       Impact factor: 3.240

5.  Persistent High Burden of Advanced HIV Disease Among Patients Seeking Care in South Africa's National HIV Program: Data From a Nationwide Laboratory Cohort.

Authors:  Sergio Carmona; Jacob Bor; Cornelius Nattey; Brendan Maughan-Brown; Mhairi Maskew; Matthew P Fox; Deborah K Glencross; Nathan Ford; William B MacLeod
Journal:  Clin Infect Dis       Date:  2018-03-04       Impact factor: 20.999

6.  Addressing antiretroviral therapy-related diagnostic coverage gaps across South Africa using a programmatic approach.

Authors:  Naseem Cassim; Lindi M Coetzee; Wendy S Stevens; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2018-11-12

7.  Assessment of the AQUIOS flow cytometer - An automated sample preparation system for CD4 lymphocyte PanLeucogating enumeration.

Authors:  Daniel Rhodes; Guislaine Carcelain; Mike Keeney; Christophe Parizot; Dominika Benjamins; Laurine Genesta; Jin Zhang; Justin Rohrbach; Denise Lawrie; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2019-12-05

8.  Categorising specimen referral delays for CD4 testing: How inter-laboratory distances and travel times impact turn-around time across a national laboratory service in South Africa.

Authors:  Naseem Cassim; Lindi M Coetzee; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2020-12-21

9.  Clinical, radiological, and laboratory predictors of a positive urine lipoarabinomannan test in sputum-scarce and sputum-negative patients with HIV-associated tuberculosis in two Johannesburg hospitals.

Authors:  Lior Chernick; Ismail S Kalla; Michelle Venter
Journal:  South Afr J HIV Med       Date:  2021-07-08       Impact factor: 2.744

10.  Cryptococcal antigen positivity combined with the percentage of HIV-seropositive samples with CD4 counts <100 cells/μl identifies districts in South Africa with advanced burden of disease.

Authors:  Lindi-Marie Coetzee; Naseem Cassim; Charlotte Sriruttan; Mabatho Mhlanga; Nelesh P Govender; Deborah Kim Glencross
Journal:  PLoS One       Date:  2018-06-12       Impact factor: 3.240

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