Evidence map›Paper›PMID 31276515›Full record

Observational studyPLoS medicine2019

Clinical, microbiologic, and immunologic determinants of mortality in hospitalized patients with HIV-associated tuberculosis: A prospective cohort study.

Charlotte Schutz, David Barr, Bruno B Andrade, Muki Shey, Amy Ward, Saskia Janssen, Rosie Burton, Katalin A Wilkinson, Bianca Sossen, Kiyoshi F Fukutani and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 7 pooled it
6.7field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 7 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  11. Prevalence and Mortality due toOpen forum infectious diseases · 2026
    Article
  12. Article
  13. Article
  14. Prognostic Value of C-Reactive Protein in Adults With Tuberculous Meningitis: A Prospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  15. Article
  16. Article
  17. Tuberculosis and HIV coinfection: Progress and challenges towards reducing incidence and mortality.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Review
  18. Review
  19. Tuberculosis: An Update for the Clinician.Respirology (Carlton, Vic.) · 2025
    Review
  20. 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

14 authors at 6 institutions in 5 countries.

Charlotte SchutzWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8329-6158
David BarrWellcome Trust Liverpool Glasgow Centre for Global Health Research, University of Liverpool, Liverpool, United Kingdom.
Bruno B AndradeWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-6833-3811
Muki SheyWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-8776-4737
Amy WardWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8430-0999
Saskia JanssenAmsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Rosie BurtonKhayelitsha Hospital, Department of Medicine, Cape Town, South Africa.ORCID 0000-0003-1217-8191
Katalin A WilkinsonWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-9796-2040
Bianca SossenWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-6028-3351
Kiyoshi F FukutaniInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Mark NicolDivision of Medical Microbiology, University of Cape Town and National Health Laboratory Services, Cape Town, South Africa.ORCID 0000-0002-1366-4805
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Robert J WilkinsonWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-2753-1800
Graeme MeintjesWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-1196-4414
University of Cape Town · ZAAmsterdam University Medical Centers · NLFaculdade de Tecnologia e Ciências · BRNational Health Laboratory Service · ZASouth African Heart Association · ZAUniversity of Liverpool · GB

Funding

Inflammatory determinants of disease severity and treatment outcome in TB patientsU01AI115940 · NIAID · UNIVERSITY OF CAPE TOWN · PI SHER, ALAN, WILKINSON, ROBERT JOHN · 2015 to 2019
$1.1M
Cancer Research UK FC00110218Medical Research Council FC00110218NIAID NIH HHS U01 AI115940Wellcome Trust 098316Wellcome Trust 104803Wellcome Trust 203135Wellcome Trust 211360Wellcome Trust 211360/Z/18/ZWellcome Trust FC00110218
6 · The paper itself

Abstract

backgroundIn high-burden settings, case fatality rates are reported to be between 11% and 32% in hospitalized patients with HIV-associated tuberculosis, yet the underlying causes of mortality remain poorly characterized. Understanding causes of mortality could inform the development of novel management strategies to improve survival. We aimed to assess clinical and microbiologic determinants of mortality and to characterize the pathophysiological processes underlying death by evaluating host soluble inflammatory mediators and determined the relationship between these mediators and death as well as biomarkers of disseminated tuberculosis. METHODS AND

findingsAdult patients with HIV hospitalized with a new diagnosis of HIV-associated tuberculosis were enrolled in Cape Town between 2014 and 2016. Detailed tuberculosis diagnostic testing was performed. Biomarkers of tuberculosis dissemination and host soluble inflammatory mediators at baseline were assessed. Of 682 enrolled participants, 576 with tuberculosis (487/576, 84.5% microbiologically confirmed) were included in analyses. The median age was 37 years (IQR = 31-43), 51.2% were female, and the patients had advanced HIV with a median cluster of differentiation 4 (CD4) count of 58 cells/L (IQR = 21-120) and a median HIV viral load of 5.1 log10 copies/mL (IQR = 3.3-5.7). Antituberculosis therapy was initiated in 566/576 (98.3%) and 487/576 (84.5%) started therapy within 48 hours of enrolment. Twelve-week mortality was 124/576 (21.5%), with 46/124 (37.1%) deaths occurring within 7 days of enrolment. Clinical and microbiologic determinants of mortality included disseminated tuberculosis (positive urine lipoarabinomannan [LAM], urine Xpert MTB/RIF, or tuberculosis blood culture in 79.6% of deaths versus 60.7% of survivors, p = 0.001), sepsis syndrome (high lactate in 50.8% of deaths versus 28.9% of survivors, p < 0.001), and rifampicin-resistant tuberculosis (16.9% of deaths versus 7.2% of survivors, p = 0.002). Using non-supervised two-way hierarchical cluster and principal components analyses, we describe an immune profile dominated by mediators of the innate immune system and chemotactic signaling (interleukin-1 receptor antagonist [IL-1Ra], IL-6, IL-8, macrophage inflammatory protein-1 beta [MIP-1β]/C-C motif chemokine ligand 4 [CCL4], interferon gamma-induced protein-10 [IP-10]/C-X-C motif chemokine ligand 10 [CXCL10], MIP-1 alpha [MIP-1α]/CCL3), which segregated participants who died from those who survived. This immune profile was associated with mortality in a Cox proportional hazards model (adjusted hazard ratio [aHR] = 2.2, 95%CI = 1.9-2.7, p < 0.001) and with detection of biomarkers of disseminated tuberculosis. Clinicians attributing causes of death identified tuberculosis as a cause or one of the major causes of death in 89.5% of cases. We did not perform longitudinal sampling and did not have autopsy-confirmed causes of death.

conclusionsIn this study, we did not identify a major contribution from coinfections to these deaths. Disseminated tuberculosis, sepsis syndrome, and rifampicin resistance were associated with mortality. An immune profile dominated by mediators of the innate immune system and chemotactic signaling was associated with both tuberculosis dissemination and mortality. These findings provide pathophysiologic insights into underlying causes of mortality and could be used to inform the development of novel treatment strategies and to develop methods to risk stratify patients to appropriately target novel interventions. Causal relationships cannot be established from this study.

Indexed as

CoinfectionHospital MortalityAdultAIDS-Related Opportunistic InfectionsBiomarkersCause of DeathFemaleHIV InfectionsHost-Pathogen InteractionsHumansImmunocompromised HostInflammation MediatorsMaleMiddle AgedPatient AdmissionProspective StudiesBiomarkersInflammation Mediators

Identifiers

PMID31276515
PMCPMC6611568
OpenAlexW2954560153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.