The "Buruli Score": Development of a Multivariable Prediction Model for Diagnosis of Mycobacterium ulcerans Infection in Individuals with Ulcerative Skin Lesions, Akonolinga, Cameroon

Mueller, Yolanda K; Bastard, Mathieu; Nkemenang, Patrick; Comte, Eric; Ehounou, Geneviève; Eyangoh, Sara; Rusch, Barbara; Tabah, Earnest Njih; Toutous Trellu, Laurence Marie; Etard, Jean-Francois

doi:10.1371/journal.pntd.0004593

Scientific article

English

The "Buruli Score": Development of a Multivariable Prediction Model for Diagnosis of Mycobacterium ulcerans Infection in Individuals with Ulcerative Skin Lesions, Akonolinga, Cameroon

ContributorsMueller, Yolanda K; Bastard, Mathieu; Nkemenang, Patrick; Comte, Eric; Ehounou, Geneviève; Eyangoh, Sara; Rusch, Barbara; Tabah, Earnest Njih; Toutous Trellu, Laurence Marie

; Etard, Jean-Francois

Published inPLOS Neglected Tropical Diseases, vol. 10, no. 4, e0004593

Publication date2016

Abstract

Access to laboratory diagnosis can be a challenge for individuals suspected of Buruli Ulcer (BU). Our objective was to develop a clinical score to assist clinicians working in resource-limited settings for BU diagnosis.

Keywords

Adolescent
Adult
Aged
Aged
80 and over
Buruli Ulcer/diagnosis
Cameroon
Child
Child
Preschool
Decision Support Techniques
Female
Humans
Infant
Infant
Newborn
Male
Middle Aged
Prospective Studies
Sensitivity and Specificity
Skin/pathology
Young Adult

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de médecine

Citation (ISO format)

MUELLER, Yolanda K et al. The ‘Buruli Score’: Development of a Multivariable Prediction Model for Diagnosis of Mycobacterium ulcerans Infection in Individuals with Ulcerative Skin Lesions, Akonolinga, Cameroon. In: PLOS Neglected Tropical Diseases, 2016, vol. 10, n° 4, p. e0004593. doi: 10.1371/journal.pntd.0004593

Article (Published version)

CC0

Identifiers

PID : unige:98672
DOI : 10.1371/journal.pntd.0004593
PMID : 27045293

Journal ISSN1935-2727

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The "Buruli Score": Development of a Multivariable Prediction Model for Diagnosis of Mycobacterium ulcerans Infection in Individuals with Ulcerative Skin Lesions, Akonolinga, Cameroon

Access to laboratory diagnosis can be a challenge for individuals suspected of Buruli Ulcer (BU). Our objective was to develop a clinical score to assist clinicians working in resource-limited settings for BU diagnosis.

Technical informations