Evidence map›Paper›PMID 38985777›Full record

ArticlePloS one2024

Evaluating the performance of a risk assessment score tool to predict HIV acquisition among pregnant and postpartum women in Kenya.

Nok Chhun, Claire W Rothschild, Monalisa Penumetsa, Daniel Matemo, Peninah Kithao, Barbra A Richardson, Grace John-Stewart, John Kinuthia, Alison L Drake

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nok ChhunDepartment of Global Health, University of Washington, Seattle, WA, United States of America.ORCID 0000-0001-5998-3839
Claire W RothschildDepartment of Epidemiology, University of Washington, Seattle, WA, United States of America.
Monalisa PenumetsaDepartment of Epidemiology, University of Washington, Seattle, WA, United States of America.
Daniel MatemoResearch and Programs, Kenyatta National Hospital, Nairobi, Kenya.
Peninah KithaoResearch and Programs, Kenyatta National Hospital, Nairobi, Kenya.
Barbra A RichardsonDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Grace John-StewartDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
John KinuthiaDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Alison L DrakeDepartment of Global Health, University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-4178-7706

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI CONNIE L CELUM · 1988 to 2026
$104.9M
Optimizing repeat HIV testing during pregnancy and postpartum for PMTCTK01AI116298 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAKE, ALISON L · 2015 to 2019
$632k
Preventing, detecting, and treating incident maternal HIV infection for PMTCTR03AI140922 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAKE, ALISON L · 2018 to 2019
$150k
Improving Retention in Care for Adolescents and Young Adults in Kenya: Implementation Science to Support Adaptation and Integration of a Stepped Care InterventionF31HD105513 · NICHD · UNIVERSITY OF WASHINGTON · PI CHHUN, NOK · 2022 to 2024
$115k
Contraceptive Side Effects, Method Dissatisfaction, and Early Discontinuation F31HD097841 · NICHD · UNIVERSITY OF WASHINGTON · PI ROTHSCHILD, CLAIRE WATT · 2019 to 2020
$83k
NIAID NIH HHS K01 AI116298NIAID NIH HHS P30 AI027757NIAID NIH HHS R03 AI140922NICHD NIH HHS F31 HD097841NICHD NIH HHS F31 HD105513
6 · The paper itself

Abstract

backgroundClinical risk score tools require validation in diverse settings and populations before they are widely implemented. We aimed to externally validate an HIV risk assessment tool for predicting HIV acquisition among pregnant and postpartum women. In the context of prevention of mother-to-child transmission programs, risk score tools could be used to prioritize retesting efforts and delivery of pre-exposure prophylaxis (PrEP) to pregnant and postpartum women most at risk for HIV acquisition while minimizing unnecessary perinatal exposure.

methodsData from women enrolled in a cross-sectional study of programmatic HIV retesting and/or receiving maternal and child health care services at five facilities in Western Kenya were used to validate the predictive ability of a simplified risk score previously developed for pregnant/postpartum women. Incident HIV infections were defined as new HIV diagnoses following confirmed negative or unknown status during pregnancy. Predictive performance was assessed using the area under the receiver operating characteristic curve (AUC) and Brier score.

resultsAmong 1266 women with 35 incident HIV infections, we found an AUC for predicting HIV acquisition of 0.60 (95% CI, 0.51, 0.69), with a Brier score of 0.27. A risk score >6 was associated with a 2.9-fold increase in the odds of HIV acquisition (95% CI, 1.48, 5.70; p = 0.002) vs scores ≤6. Women with risk scores >6 were 27% (346/1266) of the population but accounted for 52% of HIV acquisitions. Syphilis, age at sexual debut, and unknown partner HIV status were significantly associated with increased risk of HIV in this cohort.

conclusionThe simplified risk score performed moderately at predicting risk of HIV acquisition in this population of pregnant and postpartum women and may be useful to guide PrEP use or counseling.

Indexed as

HIV InfectionsPostpartum PeriodPregnancy Complications, InfectiousAdolescentAdultCross-Sectional StudiesFemaleHumansInfectious Disease Transmission, VerticalKenyaPre-Exposure ProphylaxisPregnancyRisk AssessmentRisk FactorsROC CurveYoung Adult

Identifiers

PMID38985777
PMCPMC11236202

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Registered trials

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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.