Estimating Tuberculosis Transmission Risks in a Primary Care Clinic in South Africa: Modeling of Environmental and Clinical Data.

Mycobacterium tuberculosis biosampling carbon dioxide cough humidity infection control intervention primary care clinic transmission tuberculosis

Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
04 05 2022
Historique:
received: 17 07 2021
accepted: 09 11 2021
pubmed: 19 1 2022
medline: 10 5 2022
entrez: 18 1 2022
Statut: ppublish

Résumé

Congregate settings, such as healthcare clinics, may play an essential role in Mycobacterium tuberculosis (Mtb) transmission. Using patient and environmental data, we studied transmission at a primary care clinic in South Africa. We collected patient movements, cough frequency, and clinical data, and measured indoor carbon dioxide (CO2) levels, relative humidity, and Mtb genomes in the air. We used negative binomial regression model to investigate associations. We analyzed 978 unique patients who contributed 14 795 data points. The median patient age was 33 (interquartile range [IQR], 26-41) years, and 757 (77.4%) were female. Overall, median CO2 levels were 564 (IQR 495-646) parts per million and were highest in the morning. Median number of coughs per day was 466 (IQR, 368-503), and overall median Mtb DNA copies/μL/day was 4.2 (IQR, 1.2-9.5). We found an increased presence of Mtb DNA in the air of 32% (95% credible interval, 7%-63%) per 100 additional young adults (aged 15-29 years) and 1% (0-2%) more Mtb DNA per 10% increase of relative humidity. Estimated cumulative transmission risks for patients attending the clinic monthly for at least 1 hour range between 9% and 29%. We identified young adults and relative humidity as potentially important factors for transmission risks in healthcare clinics. Our approach should be used to detect transmission and evaluate infection control interventions.

Sections du résumé

BACKGROUND
Congregate settings, such as healthcare clinics, may play an essential role in Mycobacterium tuberculosis (Mtb) transmission. Using patient and environmental data, we studied transmission at a primary care clinic in South Africa.
METHODS
We collected patient movements, cough frequency, and clinical data, and measured indoor carbon dioxide (CO2) levels, relative humidity, and Mtb genomes in the air. We used negative binomial regression model to investigate associations.
RESULTS
We analyzed 978 unique patients who contributed 14 795 data points. The median patient age was 33 (interquartile range [IQR], 26-41) years, and 757 (77.4%) were female. Overall, median CO2 levels were 564 (IQR 495-646) parts per million and were highest in the morning. Median number of coughs per day was 466 (IQR, 368-503), and overall median Mtb DNA copies/μL/day was 4.2 (IQR, 1.2-9.5). We found an increased presence of Mtb DNA in the air of 32% (95% credible interval, 7%-63%) per 100 additional young adults (aged 15-29 years) and 1% (0-2%) more Mtb DNA per 10% increase of relative humidity. Estimated cumulative transmission risks for patients attending the clinic monthly for at least 1 hour range between 9% and 29%.
CONCLUSIONS
We identified young adults and relative humidity as potentially important factors for transmission risks in healthcare clinics. Our approach should be used to detect transmission and evaluate infection control interventions.

Identifiants

pubmed: 35039860
pii: 6510424
doi: 10.1093/infdis/jiab534
pmc: PMC9071349
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1642-1652

Subventions

Organisme : NIAID NIH HHS
ID : U01 AI069924
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

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Auteurs

Kathrin Zürcher (K)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Julien Riou (J)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Carl Morrow (C)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Desmond Tutu HIV Centre, Department of Medicine, University of Cape Town, University of Cape Town, Cape Town, South Africa.

Marie Ballif (M)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

Anastasia Koch (A)

South African Medical Research Council/National Health Laboratory Service/University of Cape Town Molecular Mycobacteriology Research Unit and Department of Science and Innovation/National Research Foundation Centre of Excellence for Biomedical TB Research, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Simon Bertschinger (S)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.

Digby F Warner (DF)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
South African Medical Research Council/National Health Laboratory Service/University of Cape Town Molecular Mycobacteriology Research Unit and Department of Science and Innovation/National Research Foundation Centre of Excellence for Biomedical TB Research, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Keren Middelkoop (K)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Desmond Tutu HIV Centre, Department of Medicine, University of Cape Town, University of Cape Town, Cape Town, South Africa.

Robin Wood (R)

Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Desmond Tutu HIV Centre, Department of Medicine, University of Cape Town, University of Cape Town, Cape Town, South Africa.

Matthias Egger (M)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Lukas Fenner (L)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.

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