Weather variables as important clinical predictors of bacterial diarrhoea among international travellers.


Journal

Journal of travel medicine
ISSN: 1708-8305
Titre abrégé: J Travel Med
Pays: England
ID NLM: 9434456

Informations de publication

Date de publication:
14 07 2022
Historique:
received: 18 11 2021
revised: 19 01 2022
accepted: 27 01 2022
pubmed: 9 2 2022
medline: 19 7 2022
entrez: 8 2 2022
Statut: ppublish

Résumé

Clinicians and travellers often have limited tools to differentiate bacterial from non-bacterial causes of travellers' diarrhoea (TD). Development of a clinical prediction rule assessing the aetiology of TD may help identify episodes of bacterial diarrhoea and limit inappropriate antibiotic use. We aimed to identify predictors of bacterial diarrhoea among clinical, demographic and weather variables, as well as to develop and cross-validate a parsimonious predictive model. We collected de-identified clinical data from 457 international travellers with acute diarrhoea presenting to two healthcare centres in Nepal and Thailand. We used conventional microbiologic and multiplex molecular methods to identify diarrheal aetiology from stool samples. We used random forest and logistic regression to determine predictors of bacterial diarrhoea. We identified 195 cases of bacterial aetiology, 63 viral, 125 mixed pathogens, 6 protozoal/parasite and 68 cases without a detected pathogen. Random forest regression indicated that the strongest predictors of bacterial over viral or non-detected aetiologies were average location-specific environmental temperature and red blood cell on stool microscopy. In 5-fold cross-validation, the parsimonious model with the highest discriminative performance had an area under the receiver operator curve of 0.73 using 3 variables with calibration intercept -0.01 (standard deviation, SD 0.31) and slope 0.95 (SD 0.36). We identified environmental temperature, a location-specific parameter, as an important predictor of bacterial TD, among traditional patient-specific parameters predictive of aetiology. Future work includes further validation and the development of a clinical decision-support tool to inform appropriate use of antibiotics in TD.

Sections du résumé

BACKGROUND
Clinicians and travellers often have limited tools to differentiate bacterial from non-bacterial causes of travellers' diarrhoea (TD). Development of a clinical prediction rule assessing the aetiology of TD may help identify episodes of bacterial diarrhoea and limit inappropriate antibiotic use. We aimed to identify predictors of bacterial diarrhoea among clinical, demographic and weather variables, as well as to develop and cross-validate a parsimonious predictive model.
METHODS
We collected de-identified clinical data from 457 international travellers with acute diarrhoea presenting to two healthcare centres in Nepal and Thailand. We used conventional microbiologic and multiplex molecular methods to identify diarrheal aetiology from stool samples. We used random forest and logistic regression to determine predictors of bacterial diarrhoea.
RESULTS
We identified 195 cases of bacterial aetiology, 63 viral, 125 mixed pathogens, 6 protozoal/parasite and 68 cases without a detected pathogen. Random forest regression indicated that the strongest predictors of bacterial over viral or non-detected aetiologies were average location-specific environmental temperature and red blood cell on stool microscopy. In 5-fold cross-validation, the parsimonious model with the highest discriminative performance had an area under the receiver operator curve of 0.73 using 3 variables with calibration intercept -0.01 (standard deviation, SD 0.31) and slope 0.95 (SD 0.36).
CONCLUSIONS
We identified environmental temperature, a location-specific parameter, as an important predictor of bacterial TD, among traditional patient-specific parameters predictive of aetiology. Future work includes further validation and the development of a clinical decision-support tool to inform appropriate use of antibiotics in TD.

Identifiants

pubmed: 35134202
pii: 6520888
doi: 10.1093/jtm/taac012
pmc: PMC9282096
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : R01AI135114
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR025764
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002538
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI135114
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000105
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of International Society of Travel Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Melissa A Pender (MA)

Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.

Timothy Smith (T)

Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.

Ben J Brintz (BJ)

Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.

Prativa Pandey (P)

CIWEC Hospital Director, CIWEC Hospital, Kathmandu 44600, Nepal.

Sanjaya K Shrestha (SK)

Department of Bacterial and Parasitic Diseases, Walter Reed/Armed Forces Research Institute of Medical Sciences Research Unit Nepal (WARUN), Kathmandu 44600, Nepal.

Sinn Anuras (S)

Department of Medicine, MedPark Hospital, Bangkok 10110, Thailand.

Samandra Demons (S)

Department of Bacterial and Parasitic Diseases, Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok 10400, Thailand.

Siriporn Sornsakrin (S)

Department of Bacterial and Parasitic Diseases, Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok 10400, Thailand.

Ladaporn Bodhidatta (L)

Department of Bacterial and Parasitic Diseases, Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok 10400, Thailand.

James A Platts-Mills (JA)

Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.

Daniel T Leung (DT)

Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.

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Classifications MeSH