Evidence map›Paper›PMID 30951533›Full record

ArticlePLoS medicine2019

Risk score for predicting mortality including urine lipoarabinomannan detection in hospital inpatients with HIV-associated tuberculosis in sub-Saharan Africa: Derivation and external validation cohort study.

Ankur Gupta-Wright, Elizabeth L Corbett, Douglas Wilson, Joep J van Oosterhout, Keertan Dheda, Helena Huerga, Jonny Peter, Maryline Bonnet, Melanie Alufandika-Moyo, Daniel Grint and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  9. Urine LAM diagnostics can close the deadly testing gap for TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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  15. "SILVAMP TB LAM" Rapid Urine Tuberculosis Test Predicts Mortality in Patients Hospitalized With Human Immunodeficiency Virus in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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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

12 authors at 7 institutions in 5 countries.

Ankur Gupta-WrightTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-5150-2970
Elizabeth L CorbettTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3552-3181
Douglas WilsonDepartment of Medicine, Edendale Hospital, University of KwaZulu-Natal, Pietermaritzburg, South Africa.ORCID 0000-0002-7756-8660
Joep J van OosterhoutDignitas International, Zomba, Malawi.
Keertan DhedaCentre for Lung Infection and Immunity, University of Cape Town, Cape Town, South Africa.
Helena HuergaEpicentre, Paris, France.ORCID 0000-0003-0302-9063
Jonny PeterDivision of Allergology and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Maryline BonnetEpicentre, Paris, France.ORCID 0000-0002-1071-7393
Melanie Alufandika-MoyoMalawi-Liverpool-Wellcome Trust Clinical Research Programme, College of Medicine, University of Malawi, Blantyre, Malawi.
Daniel GrintTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8001-6544
Stephen D LawnTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Katherine FieldingTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
University of Liverpool · GBLondon School of Hygiene & Tropical Medicine · GBUniversity of Cape Town · ZAEdendale Hospital · ZAInserm · FRUniversity of Malawi · MWUniversity of the Witwatersrand · ZA

Funding

Medical Research Council MR/M007375/1Medical Research Council MR/R010161/1Wellcome TrustWellcome Trust WT200901/Z/16/Z
6 · The paper itself

Abstract

backgroundThe prevalence of and mortality from HIV-associated tuberculosis (HIV/TB) in hospital inpatients in Africa remains unacceptably high. Currently, there is a lack of tools to identify those at high risk of early mortality who may benefit from adjunctive interventions. We therefore aimed to develop and validate a simple clinical risk score to predict mortality in high-burden, low-resource settings. METHODS AND

findingsA cohort of HIV-positive adults with laboratory-confirmed TB from the STAMP TB screening trial (Malawi and South Africa) was used to derive a clinical risk score using multivariable predictive modelling, considering factors at hospital admission (including urine lipoarabinomannan [LAM] detection) thought to be associated with 2-month mortality. Performance was evaluated internally and then externally validated using independent cohorts from 2 other studies (LAM-RCT and a Médecins Sans Frontières [MSF] cohort) from South Africa, Zambia, Zimbabwe, Tanzania, and Kenya. The derivation cohort included 315 patients enrolled from October 2015 and September 2017. Their median age was 36 years (IQR 30-43), 45.4% were female, median CD4 cell count at admission was 76 cells/μl (IQR 23-206), and 80.2% (210/262) of those who knew they were HIV-positive at hospital admission were taking antiretroviral therapy (ART). Two-month mortality was 30% (94/315), and mortality was associated with the following factors included in the score: age 55 years or older, male sex, being ART experienced, having severe anaemia (haemoglobin < 80 g/l), being unable to walk unaided, and having a positive urinary Determine TB LAM Ag test (Alere). The score identified patients with a 46.4% (95% CI 37.8%-55.2%) mortality risk in the high-risk group compared to 12.5% (95% CI 5.7%-25.4%) in the low-risk group (p < 0.001). The odds ratio (OR) for mortality was 6.1 (95% CI 2.4-15.2) in high-risk patients compared to low-risk patients (p < 0.001). Discrimination (c-statistic 0.70, 95% CI 0.63-0.76) and calibration (Hosmer-Lemeshow statistic, p = 0.78) were good in the derivation cohort, and similar in the external validation cohort (complete cases n = 372, c-statistic 0.68 [95% CI 0.61-0.74]). The validation cohort included 644 patients between January 2013 and August 2015. Median age was 36 years, 48.9% were female, and median CD4 count at admission was 61 (IQR 21-145). OR for mortality was 5.3 (95% CI 2.2-9.5) for high compared to low-risk patients (complete cases n = 372, p < 0.001). The score also predicted patients at higher risk of death both pre- and post-discharge. A simplified score (any 3 or more of the predictors) performed equally well. The main limitations of the scores were their imperfect accuracy, the need for access to urine LAM testing, modest study size, and not measuring all potential predictors of mortality (e.g., tuberculosis drug resistance).

conclusionsThis risk score is capable of identifying patients who could benefit from enhanced clinical care, follow-up, and/or adjunctive interventions, although further prospective validation studies are necessary. Given the scale of HIV/TB morbidity and mortality in African hospitals, better prognostic tools along with interventions could contribute towards global targets to reduce tuberculosis mortality.

Indexed as

AdultAfrica South of the SaharaAIDS-Related Opportunistic InfectionsCohort StudiesFemaleHIVHIV InfectionsHospitalizationHumansInpatientsLipopolysaccharidesMaleMass ScreeningPrognosisResearch DesignRisk FactorslipoarabinomannanLipopolysaccharides

Identifiers

PMID30951533
PMCPMC6450614
OpenAlexW2926410465

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