Estimating the contribution of subclinical tuberculosis disease to transmission: An individual patient data analysis from prevalence surveys.

Mtb transmission asymptomatic transmission asymptomatic tuberculosis epidemiology global health household Mtb infection surveys human infectious disease mathematical modelling microbiology subclinical transmission

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
18 Dec 2023
Historique:
received: 04 08 2022
accepted: 04 08 2023
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 18 12 2023
Statut: epublish

Résumé

Individuals with bacteriologically confirmed pulmonary tuberculosis (TB) disease who do not report symptoms (subclinical TB) represent around half of all prevalent cases of TB, yet their contribution to We reviewed the literature to identify studies where surveys of We collated data on 414 index cases and 789 household contacts from three prevalence surveys (Bangladesh, the Philippines, and Viet Nam) and one case-finding trial in Viet Nam. The odds ratio for infection in a household with a clinical versus subclinical index case (irrespective of sputum smear status) was 1.2 (0.6-2.3, 95% confidence interval). Adjusting for duration of disease, we found a per-unit-time infectiousness of subclinical TB relative to clinical TB of 1.93 (0.62-6.18, 95% prediction interval [PrI]). Fourteen countries across Asia and Africa provided data on relative prevalence of subclinical and clinical TB, suggesting an estimated 68% (27-92%, 95% PrI) of global transmission is from subclinical TB. Our results suggest that subclinical TB contributes substantially to transmission and needs to be diagnosed and treated for effective progress towards TB elimination. JCE, KCH, ASR, NS, and RH have received funding from the European Research Council (ERC) under the Horizon 2020 research and innovation programme (ERC Starting Grant No. 757699) KCH is also supported by UK FCDO (Leaving no-one behind: transforming gendered pathways to health for TB). This research has been partially funded by UK aid from the UK government (to KCH); however, the views expressed do not necessarily reflect the UK government's official policies. PJD was supported by a fellowship from the UK Medical Research Council (MR/P022081/1); this UK-funded award is part of the EDCTP2 programme supported by the European Union. RGW is funded by the Wellcome Trust (218261/Z/19/Z), NIH (1R01AI147321-01), EDTCP (RIA208D-2505B), UK MRC (CCF17-7779 via SET Bloomsbury), ESRC (ES/P008011/1), BMGF (OPP1084276, OPP1135288 and INV-001754), and the WHO (2020/985800-0).

Sections du résumé

Background UNASSIGNED
Individuals with bacteriologically confirmed pulmonary tuberculosis (TB) disease who do not report symptoms (subclinical TB) represent around half of all prevalent cases of TB, yet their contribution to
Methods UNASSIGNED
We reviewed the literature to identify studies where surveys of
Results UNASSIGNED
We collated data on 414 index cases and 789 household contacts from three prevalence surveys (Bangladesh, the Philippines, and Viet Nam) and one case-finding trial in Viet Nam. The odds ratio for infection in a household with a clinical versus subclinical index case (irrespective of sputum smear status) was 1.2 (0.6-2.3, 95% confidence interval). Adjusting for duration of disease, we found a per-unit-time infectiousness of subclinical TB relative to clinical TB of 1.93 (0.62-6.18, 95% prediction interval [PrI]). Fourteen countries across Asia and Africa provided data on relative prevalence of subclinical and clinical TB, suggesting an estimated 68% (27-92%, 95% PrI) of global transmission is from subclinical TB.
Conclusions UNASSIGNED
Our results suggest that subclinical TB contributes substantially to transmission and needs to be diagnosed and treated for effective progress towards TB elimination.
Funding UNASSIGNED
JCE, KCH, ASR, NS, and RH have received funding from the European Research Council (ERC) under the Horizon 2020 research and innovation programme (ERC Starting Grant No. 757699) KCH is also supported by UK FCDO (Leaving no-one behind: transforming gendered pathways to health for TB). This research has been partially funded by UK aid from the UK government (to KCH); however, the views expressed do not necessarily reflect the UK government's official policies. PJD was supported by a fellowship from the UK Medical Research Council (MR/P022081/1); this UK-funded award is part of the EDCTP2 programme supported by the European Union. RGW is funded by the Wellcome Trust (218261/Z/19/Z), NIH (1R01AI147321-01), EDTCP (RIA208D-2505B), UK MRC (CCF17-7779 via SET Bloomsbury), ESRC (ES/P008011/1), BMGF (OPP1084276, OPP1135288 and INV-001754), and the WHO (2020/985800-0).

Identifiants

pubmed: 38109277
doi: 10.7554/eLife.82469
pii: 82469
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Research Council
ID : ERC Starting Grant No. 757699
Pays : International
Organisme : Wellcome Trust
ID : 218261/Z/19/Z
Pays : United Kingdom
Organisme : NIH HHS
ID : 1R01AI147321-01
Pays : United States
Organisme : Bill & Melinda Gates Foundation
ID : OPP1084276
Pays : United States
Organisme : Bill & Melinda Gates Foundation
ID : OPP1135288
Pays : United States
Organisme : Bill & Melinda Gates Foundation
ID : INV-001754
Pays : United States
Organisme : World Health Organization
ID : 2020/985800-0
Pays : International

Informations de copyright

© 2023, Emery et al.

Déclaration de conflit d'intérêts

JE, SB, BF, FG, KH, SH, IL, Fv, HN, HN, MQ, AR, ET, RW, KZ, FC, RH No competing interests declared, PD has received consultancy fees from WHO (TB burden estimation) and participates as chair of SAB for NIHR grant on TBI screening. The author has no other competing interests to declare, GM acts as President of the International Union Against TB & Lung Disease. The author has no other competing interests to declare, IO has received grants from National TB Program Cambodia, WHO and DFAT (Australia) and has received consulting fees from WHO Myanmar Office. The author is on the Board of the Directors, UNION IUATLD and WHO’s Global Task Force on TB Impact Measurement. The author has no other competing interests to declare, NS received a grant from the Bill and Melinda Gates Foundation and owns stock/stock options in Sanofi Aventis Pharma LTD. The author has no other competing interests to declare

Auteurs

Jon C Emery (JC)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Peter J Dodd (PJ)

School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.

Sayera Banu (S)

International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.

Beatrice Frascella (B)

School of Public Health, Vita-Salute San Raffaele University, Milan, Italy.

Frances L Garden (FL)

South West Sydney Clinical Campuses, University of New South Wales, Sydney, Australia.
Ingham Institute of Applied Medical Research, Sydney, Australia.

Katherine C Horton (KC)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Shahed Hossain (S)

James P. Grant School of Public Health, BRAC University, Dhaka, Bangladesh.

Irwin Law (I)

Global Tuberculosis Programme, World Health Organization, Geneva, Switzerland.

Frank van Leth (F)

Department of Health Sciences, VU University, Amsterdam, Netherlands.
Amsterdam Public Health Research Institute, Amsterdam, Netherlands.

Guy B Marks (GB)

South West Sydney Clinical Campuses, University of New South Wales, Sydney, Australia.
Woolcock Institute of Medical Research, Sydney, Australia.

Hoa Binh Nguyen (HB)

National Lung Hospital, National Tuberculosis Control Program, Ha Noi, Viet Nam.

Hai Viet Nguyen (HV)

National Lung Hospital, National Tuberculosis Control Program, Ha Noi, Viet Nam.

Ikushi Onozaki (I)

Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.

Maria Imelda D Quelapio (MID)

Tropical Disease Foundation, Makati City, Philippines.

Alexandra S Richards (AS)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Nabila Shaikh (N)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Sanofi Pasteur, Reading, United Kingdom.

Edine W Tiemersma (EW)

KNCV Tuberculosis Foundation, The Hague, Netherlands.

Richard G White (RG)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Khalequ Zaman (K)

International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.

Frank Cobelens (F)

Department of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.

Rein M G J Houben (RMGJ)

TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Classifications MeSH