Evidence map›Paper›PMID 41692676›Full record

ArticleThe Journal of antimicrobial chemotherapy2026

Nationwide patterns of HIV drug resistance and high viral load in Sub-Saharan African countries.

Abubaker Ibrahim Elbur, Sindhuri Gandla, Raja Nakka, Ruhul Khan, Musie Ghebremichael

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In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abubaker Ibrahim ElburCenter for Global Health, Massachusetts General Hospital, Boston, MA, USA.
Sindhuri GandlaRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Raja NakkaRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Ruhul KhanRagon Institute of MGH, MIT, and Harvard, Cambridge, & Harvard Medical School, Cambridge, MA, USA.
Musie GhebremichaelRagon Institute of MGH, MIT, and Harvard, Cambridge, & Harvard Medical School, Cambridge, MA, USA, and MGH Biostatistics Center, Boston, MA, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ARTHUR Y KIM · 2004 to 2026
$94.4M
The Impact of an Intervention to Reduce Pharmacists' Racial Bias Towards People of Color at Risk of HIVK01MH135745 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI Abubaker Saeed · 2024 to 2026
$547k
NIAID NIH HHS P30 AI060354NIH HHS 1K01MH135745-01A1NIH HHS NIH/NAIDS P30-AI 060354NIMH NIH HHS K01 MH135745
6 · The paper itself

Abstract

objectivesTo (1) assess the prevalence and patterns of HIV drug resistance (HIVDR) mutations, (2) identify correlations between different HIVDR mutations within drug classes, and (3) examine the association between resistance mutations and high HIV viral load.

methodsWe conducted a secondary analysis of retrospective data collected through the Population-based HIV Impact Assessment (PHIA) surveys conducted between 2015 and 2019 in 13 African countries. We included participants aged ≥15 years with available HIVDR genotyping. The primary outcomes were (1) prevalence of HIVDR mutations, categorized by drug class into non-nucleoside reverse transcriptase inhibitors (NNRTIs), Nucleoside Reverse Transcriptase Inhibitors (NRTIs), and Protease inhibitors (PIs); (2) high HIV viral load (VL), (HIV RNA ≥1000 copies/mL).

resultsThe analysis included 2292 participants, with a median age range between 31 and 41 years. More than one-third of participants were not receiving ART. Of all participants, 1949 (85%) had high VL. Resistance to NNRTIs and NRTIs was the most prevalent in most countries, ranging from 43% to 60%, and 37% to 53%, respectively. Resistance to PI ranges from 0.2% to 5%. Multiple drug resistance mutations across all ART classes were strongly associated with high VL. Among NNRTIs, 16/39 mutations (e.g. K103N, Y181C) and 18/34 NRTI mutations (e.g. M184V, K65R) showed strong associations with high VL in ≥10 countries. For PIs, Q58E and L33F emerged as key mutations strongly associated with high VL across multiple nations.

conclusionsStrengthening resistance surveillance, optimising ART regimens, and improving adherence are crucial to curb resistance and sustain HIV epidemic control.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralHIV-1HIV InfectionsViral LoadAdolescentAdultAfrica South of the SaharaFemaleGenotypeHumansMaleMutationPrevalenceRetrospective StudiesYoung AdultAnti-HIV Agents

Identifiers

PMID41692676
PMCPMC13395801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.