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. 2021 Aug 16;73(4):594-604.
doi: 10.1093/cid/ciab031.

Human Immunodeficiency Virus Infection in Adolescents and Mode of Transmission in Southern Africa: A Multinational Analysis of Population-Based Survey Data

Affiliations

Human Immunodeficiency Virus Infection in Adolescents and Mode of Transmission in Southern Africa: A Multinational Analysis of Population-Based Survey Data

Andrea Low et al. Clin Infect Dis. .

Abstract

Background: Adolescents aged 10-19 years living with human immunodeficiency virus (HIV) (ALHIV), both perinatally infected adolescents (APHIV) and behaviorally infected adolescents (ABHIV), are a growing population with distinct care needs. We characterized the epidemiology of HIV in adolescents included in Population-based HIV Impact Assessments (2015-2017) in Zimbabwe, Malawi, Zambia, Eswatini, and Lesotho.

Methods: Adolescents were tested for HIV using national rapid testing algorithms. Viral load (VL) suppression (VLS) was defined as VL <1000 copies/mL, and undetectable VL (UVL) as VL <50 copies/mL. Recent infection (within 6 months) was measured using a limiting antigen avidity assay, excluding adolescents with VLS or with detectable antiretrovirals (ARVs) in blood. To determine the most likely mode of infection, we used a risk algorithm incorporating recency, maternal HIV and vital status, history of sexual activity, and age at diagnosis.

Results: HIV prevalence ranged from 1.6% in Zambia to 4.8% in Eswatini. Of 707 ALHIV, 60.9% (95% confidence interval, 55.3%-66.6%) had HIV previously diagnosed, and 47.1% (41.9%-52.3%) had VLS. Our algorithm estimated that 72.6% of ALHIV (485 of 707) were APHIV, with HIV diagnosed previously in 69.5% of APHIV and 39.4% of ABHIV, and with 65.3% of APHIV and 33.5% of ABHIV receiving ARV treatment. Only 67.2% of APHIV and 60.5% of ABHIV receiving ARVs had UVL.

Conclusions: These findings suggest that two-thirds of ALHIV were perinatally infected, with many unaware of their status. The low prevalence of VLS and UVL in those receiving treatment raises concerns around treatment effectiveness. Expansion of opportunities for HIV diagnoses and the optimization of treatment are imperative.

Keywords: HIV; adolescents; national survey data; perinatal HIV infection; southern Africa.

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Figures

Figure 1.
Figure 1.
A, Human immunodeficiency virus (HIV) prevalence by age, sex, and country in adolescents aged 10–19 years in the southern African Population-based HIV Impact Assessments (PHIAs), 2015–2017. Data are weighted estimates and include jackknife estimates of variance; bars represent 95% confidence intervals (CIs). B, Prevalence of perinatally acquired HIV by age, sex, and country in adolescents aged 10–19 years in the southern African PHIAs, 2015–2017. Data are weighted estimates and include jackknife estimates of variance. Perinatal classification was based on criterion 2 of the mode of transmission algorithm. Colored bars indicate 95% CIs.
Figure 2.
Figure 2.
Prevalence of viral load suppression (VLS; viral load <1000 copies/mL) by age, sex, and country in adolescents living with human immunodeficiency virus (HIV) aged 10–19 years in the southern African Population-based HIV Impact Assessments, 2015–2017. All proportions are weighted using jackknife replicate weights for estimates of variance. Colored bars represent 95% confidence intervals.
Figure 3.
Figure 3.
Flowchart of determination of human immunodeficiency virus (HIV) acquisition risk among adolescents aged 10–19 years in the southern African Population-based HIV Impact Assessments (PHIAs), 2015–2017. Abbreviations: ABHIV, adolescents behaviorally infected with HIV; ALHIV, adolescents living with HIV; APHIV, adolescents perinatally infected with HIV; LAg, limiting antigen; Unk, unknown.

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