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Mycobacterium tuberculosis bloodstream infection prevalence, diagnosis, and mortality risk in seriously ill adults with HIV: a systematic review and meta-analysis of individual patient data - 08/06/20

Doi : 10.1016/S1473-3099(19)30695-4 
David A Barr, PhD a, c, f, , , Joseph M Lewis, MRCP f, g, , Nicholas Feasey, ProfPhD f, g, Charlotte Schutz, MBChB b, c, e, Andrew D Kerkhoff, MD h, Shevin T Jacob, MD f, Ben Andrews, MD i, Paul Kelly, ProfMD j, Shabir Lakhi, MD k, Levy Muchemwa, MMed k, l, Helio A Bacha, PhD m, David J Hadad, PhD n, Richard Bedell, MD o, p, Monique van Lettow, PhD o, q, Rony Zachariah, PhD r, John A Crump, ProfMD s, t, u, David Alland, ProfMD v, Elizabeth L Corbett, ProfFMedSci g, w, Krishnamoorthy Gopinath, PhD x, Sarman Singh, ProfMD y, Rulan Griesel, MMed e, Gary Maartens, ProfMMed e, Marc Mendelson, ProfPhD d, e, Amy M Ward, MBChB c, Christopher M Parry, ProfPhD a, f, z, Elizabeth A Talbot, ProfMD aa, Patricia Munseri, MD ab, Susan E Dorman, ProfMD ac, Neil Martinson, MPH ac, ad, Maunank Shah, PhD ac, Kevin Cain, MD ag, Charles M Heilig, PhD af, ag, Jay K Varma, MD ag, Anne von Gottberg, MBChB ae, ah, Leonard Sacks, MBChB ai, Douglas Wilson, MBChB aj, S Bertel Squire, ProfMD f, David G Lalloo, ProfFRCP f, Gerry Davies, ProfPhD a, Graeme Meintjes, ProfPhD b, c, e
a Institute of Infection and Global Health, University of Liverpool, Liverpool, UK 
b Wellcome Centre for Infectious Diseases Research in Africa, University of Cape Town, Cape Town, South Africa 
c Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa 
d Division of Infectious Diseases and HIV Medicine, University of Cape Town, Cape Town, South Africa 
e Department of Medicine, University of Cape Town, Cape Town, South Africa 
f Liverpool School of Tropical Medicine, Liverpool, UK 
g Malawi-Liverpool-Wellcome Clinical Research Programme, Queen Elizabeth Central Hospital, College of Medicine, Blantyre, Malawi 
h Division of HIV, Infectious Diseases, and Global Medicine at Zuckerberg San Francisco General Hospital and Trauma Center, Department of Medicine, University of California San Francisco, San Francisco, CA, USA 
i Institute for Global Health, Vanderbilt University School of Medicine, Nashville, TN, USA 
j Blizard Institute, Barts and London School of Medicine, Queen Mary University of London, London, UK 
k Department of Internal Medicine, University of Zambia School of Medicine and University Teaching Hospital, Lusaka, Zambia 
l Defence Force School of Health Sciences, Lusaka, Zambia 
m Instituto de Infectologia Emilio Ribas, São Paulo, Brazil 
n Universidade Federal do Espirito Santo, Centro de Ciêncicas da Saúde, Departamento de Clinica Médica, Vitoria, Brazil 
o Dignitas International, Zomba, Malawi 
p Division of Global Health, University of British Columbia, Vancouver, BC, Canada 
q Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada 
r Medecins Sans Frontieres, Operational Centre Brussels, Brussels, Belgium 
s Centre for International Health, University of Otago, Dunedin, New Zealand 
t Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, NC, USA 
u Kilimanjaro Christian Medical Centre, Moshi, Tanzania 
v Division of Infectious Disease, Department of Medicine, Rutgers-New Jersey Medical School, Newark, NJ, USA 
w London School of Hygiene and Tropical Medicine, London, UK 
x Max Planck Institute for Infection Biology, Berlin, Germany 
y Division of Clinical Microbiology and Molecular Medicine, All India Institute of Medical Sciences, New Delhi, India 
z School of Tropical Medicine and Global Health, University of Nagasaki, Nagasaki, Japan 
aa Infectious Disease and International Health, Dartmouth Medical School, Hanover, NH, USA 
ab Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania 
ac Johns Hopkins University Centre for TB Research, Johns Hopkins School of Medicine, Baltimore, MD, USA 
ad Perinatal HIV Research Unit, South African Medical Research Council Soweto Matlosana Collaborating Centre for HIV/AIDS and TB, Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa 
ae School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa 
af Center for Surveillance, Epidemiology, and Laboratory Services, Atlanta, GA, USA 
ag US Centers for Disease Control and Prevention, Atlanta, GA, USA 
ah Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa 
ai Office of Medical Policy, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA 
aj Department of Internal Medicine, Edendale Hospital, University of KwaZulu-Natal, Pietermaritzburg, South Africa 

* Correspondence to: Dr David A Barr, Institute of Infection and Global Health, University of Liverpool, Liverpool L7 3EA, UK Institute of Infection and Global Health University of Liverpool Liverpool L7 3EA UK

Summary

Background

The clinical and epidemiological significance of HIV-associated Mycobacterium tuberculosis bloodstream infection (BSI) is incompletely understood. We hypothesised that M tuberculosis BSI prevalence has been underestimated, that it independently predicts death, and that sputum Xpert MTB/RIF has suboptimal diagnostic yield for M tuberculosis BSI.

Methods

We did a systematic review and individual patient data (IPD) meta-analysis of studies performing routine mycobacterial blood culture in a prospectively defined patient population of people with HIV aged 13 years or older. Studies were identified through searching PubMed and Scopus up to Nov 10, 2018, without language or date restrictions and through manual review of reference lists. Risk of bias in the included studies was assessed with an adapted QUADAS-2 framework. IPD were requested for all identified studies and subject to harmonised inclusion criteria: age 13 years or older, HIV positivity, available CD4 cell count, a valid mycobacterial blood culture result (excluding patients with missing data from lost or contaminated blood cultures), and meeting WHO definitions for suspected tuberculosis (presence of screening symptom). Predicted probabilities of M tuberculosis BSI from mixed-effects modelling were used to estimate prevalence. Estimates of diagnostic yield of sputum testing with Xpert (or culture if Xpert was unavailable) and of urine lipoarabinomannan (LAM) testing for M tuberculosis BSI were obtained by two-level random-effect meta-analysis. Estimates of mortality associated with M tuberculosis BSI were obtained by mixed-effect Cox proportional-hazard modelling and of effect of treatment delay on mortality by propensity-score analysis. This study is registered with PROSPERO, number 42016050022.

Findings

We identified 23 datasets for inclusion (20 published and three unpublished at time of search) and obtained IPD from 20, representing 96·2% of eligible IPD. Risk of bias for the included studies was assessed to be generally low except for on the patient selection domain, which was moderate in most studies. 5751 patients met harmonised IPD-level inclusion criteria. Technical factors such as number of blood cultures done, timing of blood cultures relative to blood sampling, and patient factors such as inpatient setting and CD4 cell count, explained significant heterogeneity between primary studies. The predicted probability of M tuberculosis BSI in hospital inpatients with HIV-associated tuberculosis, WHO danger signs, and a CD4 count of 76 cells per μL (the median for the cohort) was 45% (95% CI 38–52). The diagnostic yield of sputum in patients with M tuberculosis BSI was 77% (95% CI 63–87), increasing to 89% (80–94) when combined with urine LAM testing. Presence of M tuberculosis BSI compared with its absence in patients with HIV-associated tuberculosis increased risk of death before 30 days (adjusted hazard ratio 2·48, 95% CI 2·05–3·08) but not after 30 days (1·25, 0·84–2·49). In a propensity-score matched cohort of participants with HIV-associated tuberculosis (n=630), mortality increased in patients with M tuberculosis BSI who had a delay in anti-tuberculosis treatment of longer than 4 days compared with those who had no delay (odds ratio 3·15, 95% CI 1·16–8·84).

Interpretation

In critically ill adults with HIV-tuberculosis, M tuberculosis BSI is a frequent manifestation of tuberculosis and predicts mortality within 30 days. Improved diagnostic yield in patients with M tuberculosis BSI could be achieved through combined use of sputum Xpert and urine LAM. Anti-tuberculosis treatment delay might increase the risk of mortality in these patients.

Funding

This study was supported by Wellcome fellowships 109105Z/15/A and 105165/Z/14/A.

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© 2020  The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 20 - N° 6

P. 742-752 - juin 2020 Retour au numéro
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