Change in HIV‐related characteristics of children hospitalised with infectious diseases in Western Cape, South Africa, 2008–2021: a time trend analysis

Author:

de Beer Shani T.123ORCID,Slogrove Amy L.4ORCID,Eley Brian5ORCID,Ingle Suzanne M.3ORCID,Jones Hayley E.3ORCID,Phelanyane Florence12ORCID,Anderson Kim1ORCID,Kalk Emma1ORCID,Boulle Andrew126ORCID,Davies Mary‐Ann126ORCID

Affiliation:

1. Centre for Infectious Disease Epidemiology and Research School of Public Health University of Cape Town Cape Town South Africa

2. Health Intelligence Directorate Western Cape Government Health Cape Town South Africa

3. Population Health Sciences Bristol Medical School University of Bristol Bristol UK

4. Department of Paediatrics & Child Health Faculty of Medicine & Health Sciences, Stellenbosch University Worcester South Africa

5. Paediatric Infectious Diseases Unit Red Cross War Memorial Children's Hospital and the Department of Paediatrics and Child Health University of Cape Town Cape Town South Africa

6. Division of Public Health Medicine School of Public Health University of Cape Town Cape Town South Africa

Abstract

AbstractIntroductionWith the scaling up of vertical HIV transmission prevention programmes, the HIV‐related population profile of children in South Africa has shifted. We described temporal changes in HIV‐related characteristics of children, aged ≤3 years (up to the third birthday), with infectious disease hospitalisations across the Western Cape province.MethodsWe used routinely collected electronic data to identify children born in the Western Cape with infectious disease hospital records for lower respiratory tract infections, diarrhoea, meningitis and tuberculous meningitis, from 2008 to 2021. Linked maternal and child unique identifiers were used to extract pregnancy, HIV‐related, laboratory, pharmacy and hospitalisation data. We described temporal changes in child HIV exposure and acquisition status, timing of maternal HIV diagnosis and antiretroviral therapy (ART) start, infant exposure to maternal ART and timing thereof, and maternal CD4 and HIV viral load closest to delivery. We used logistic and multinomial regression to assess changes in characteristics between the Pre‐Option B+ (2008–2013), Option B+ (2013–2016) and Universal ART periods (2016–2021).ResultsAmong 52,811 children aged ≤3 years with hospitalisations, the proportion living with HIV dreased from 7.0% (2008) to 1.1% (2021), while those exposed to HIV and uninfected increased from 14.0% (2008) to 16.1% (2021) with a peak of 18.3% in 2017. Among mothers with HIV (n = 9873), the proportion diagnosed with HIV and starting ART before pregnancy increased from 20.2% to 69.2% and 5.8% to 59.0%, respectively, between 2008 and 2021. Children hospitalised during the Universal ART period had eight times higher odds (Odds Ratio: 8.41; 95% CI: 7.36–9.61) of exposure to maternal ART versus children admitted Pre‐Option B+. Among mothers of children exposed to HIV and uninfected with CD4 records (n = 7523), the proportion with CD4 <350 cells/μl decreased from 90.6% (2008) to 27.8% (2021).ConclusionsIn recent years, among children hospitalised with infectious diseases, there were fewer children with perinatally acquired HIV, while an increased proportion of those without HIV acquisition are exposed to maternal HIV and ART. There is a need to look beyond paediatric HIV prevalence and consider child exposure to HIV and ART among children without HIV, when assessing the HIV epidemic's impact on child health services.

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

Reference34 articles.

1. Child and Adolescent Health From 1990 to 2015

2. Malnutrition and Gastrointestinal and Respiratory Infections in Children: A Public Health Problem

3. Unmasking the vulnerabilities of uninfected children exposed to HIV;Ramokolo V;BMJ,2019

4. SlogroveAL.The pattern and pathways of infectious morbidity in South African HIV exposed uninfected infants.University of British Columbia;2015.

5. Statistics South Africa.Millennium Development Goals 4: reduce child mortality.2015.

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