Evidence map›Paper›PMID 33161899›Full record

ArticleBMC medicine2020

Risk scores for predicting early antiretroviral therapy mortality in sub-Saharan Africa to inform who needs intensification of care: a derivation and external validation cohort study.

Andrew F Auld, Katherine Fielding, Tefera Agizew, Alice Maida, Anikie Mathoma, Rosanna Boyd, Anand Date, Sherri L Pals, George Bicego, Yuliang Liu and 14 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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, 4 citations in OpenAlex.

  1. Article
  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

24 authors at 7 institutions in 4 countries.

Andrew F AuldDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Nico House, City Centre, P.O. Box 30016, Lilongwe 3, Malawi. aauld@cdc.gov.ORCID 0000-0001-5089-9163
Katherine FieldingTB Centre, London Sch. of Hygiene & Tropical Med, London, UK.
Tefera AgizewDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Alice MaidaDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Nico House, City Centre, P.O. Box 30016, Lilongwe 3, Malawi.
Anikie MathomaDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Rosanna BoydDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Anand DateDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sherri L PalsDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
George BicegoDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Yuliang LiuDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ray W ShiraishiDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Peter EhrenkranzBill and Melinda Gates Foundation, Seattle, WA, USA.
Christopher SerumolaDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Unami MathebulaDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Heather AlexanderDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Salome CharalambousAurum Institute, Johannesburg, South Africa.
Courtney EmersonDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Goabaone Rankgoane-PonoMinistry of Health and Wellness, Gaborone, Botswana.
Pontsho PonoMinistry of Health and Wellness, Gaborone, Botswana.
Alyssa FinlayDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
James C ShepherdDivision of TB Elimination, Centers for Disease Control and Prevention, Gaborone, Botswana.
Charles HolmesCenter for Global Health Practice and Impact, Georgetown University Medical Center, Washington D.C, USA.
Tedd V EllerbrockDivision of Global HIV & TB, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Alison D GrantTB Centre, London Sch. of Hygiene & Tropical Med, London, UK.
Centers for Disease Control and Prevention · USMinistry of Health · BWUniversity of the Witwatersrand · ZAAurum Institute · ZAGates Foundation · USGeorgetown University · USYale University · US

Funding

Medical Research Council G1100689Medical Research Council MR/R010161/1PEPFAR
6 · The paper itself

Abstract

backgroundClinical scores to determine early (6-month) antiretroviral therapy (ART) mortality risk have not been developed for sub-Saharan Africa (SSA), home to 70% of people living with HIV. In the absence of validated scores, WHO eligibility criteria (EC) for ART care intensification are CD4 < 200/μL or WHO stage III/IV.

methodsWe used Botswana XPRES trial data for adult ART enrollees to develop CD4-independent and CD4-dependent multivariable prognostic models for 6-month mortality. Scores were derived by rescaling coefficients. Scores were developed using the first 50% of XPRES ART enrollees, and their accuracy validated internally and externally using South African TB Fast Track (TBFT) trial data. Predictive accuracy was compared between scores and WHO EC.

resultsAmong 5553 XPRES enrollees, 2838 were included in the derivation dataset; 68% were female and 83 (3%) died by 6 months. Among 1077 TBFT ART enrollees, 55% were female and 6% died by 6 months. Factors predictive of 6-month mortality in the derivation dataset at p < 0.01 and selected for the CD4-independent score included male gender (2 points), ≥ 1 WHO tuberculosis symptom (2 points), WHO stage III/IV (2 points), severe anemia (hemoglobin < 8 g/dL) (3 points), and temperature > 37.5 °C (2 points). The same variables plus CD4 < 200/μL (1 point) were included in the CD4-dependent score. Among XPRES enrollees, a CD4-independent score of ≥ 4 would provide 86% sensitivity and 66% specificity, whereas WHO EC would provide 83% sensitivity and 58% specificity. If WHO stage alone was used, sensitivity was 48% and specificity 89%. Among TBFT enrollees, the CD4-independent score of ≥ 4 would provide 95% sensitivity and 27% specificity, whereas WHO EC would provide 100% sensitivity but 0% specificity. Accuracy was similar between CD4-independent and CD4-dependent scores. Categorizing CD4-independent scores into low (< 4), moderate (4-6), and high risk (≥ 7) gave 6-month mortality of 1%, 4%, and 17% for XPRES and 1%, 5%, and 30% for TBFT enrollees.

conclusionsSensitivity of the CD4-independent score was nearly twice that of WHO stage in predicting 6-month mortality and could be used in settings lacking CD4 testing to inform ART care intensification. The CD4-dependent score improved specificity versus WHO EC. Both scores should be considered for scale-up in SSA.

Indexed as

AdultAfrica South of the SaharaAnti-Retroviral AgentsCohort StudiesFemaleHIV InfectionsHumansMaleMortalityPrognosisReproducibility of ResultsRisk AssessmentRisk FactorsSecondary PreventionAnti-Retroviral AgentsAcquired immuno-deficiency syndromeAntiretroviral therapyClinical scoresHIVMortalityPredictive models

Identifiers

PMID33161899
PMCPMC7650165
OpenAlexW3102534462

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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.