Literature DB >> 8359974

A clinical prediction rule for American cutaneous leishmaniasis in Colombia.

K A Weigle1, M Escobar, A L Arias, F Martinez, C Rojas.   

Abstract

Neither parasitological nor molecular diagnosis of leishmaniasis is widely available in clinical settings where American cutaneous leishmaniasis (ACL) is endemic. Therefore four clinical prediction rules for ACL were developed which incorporated physical examination findings (clinical rule), physical examination and leishmanin skin test (LST) (clinical-LST rule), physical examination and historical information (clinical-historical rule), or physical examination, historical information and LST (clinical-historical-LST rule). One hundred parasitologically diagnosed ACL cases and 38 cases of chronic skin lesions of other aetiologies comprised the derivation set. The validation set consisted of 124 ACL cases and 35 patients with lesions of other aetiologies. Components of each rule were selected by bivariate analysis, then step-wise logistic regression. Sensitivity, specificity and efficiency were calculated for each score threshold; the threshold achieving greatest efficiency was selected for each rule. When these rules were applied to the validity set the sensitivity, specificity and efficiency were respectively: clinical 93%, 31%, 79%; clinical-LST 90%, 73%, 85.9%; clinical-historical 97%, 51%, 87%; clinical-historical-LST 92%, 70%, 87%. Inclusion of LST skin test consistently improved the specificity of the rules. Should a given clinical setting warrant optimizing either sensitivity or specificity alone, the rule thresholds can be adjusted. These and other prediction rules, once evaluated in other settings, should be incorporated into leishmaniasis control programmes.

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Year:  1993        PMID: 8359974     DOI: 10.1093/ije/22.3.548

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  6 in total

1.  PCR-based diagnosis of acute and chronic cutaneous leishmaniasis caused by Leishmania (Viannia).

Authors:  Kristen A Weigle; Luz Angela Labrada; Caterin Lozano; Cecilia Santrich; Douglas C Barker
Journal:  J Clin Microbiol       Date:  2002-02       Impact factor: 5.948

2.  Sensitive diagnosis of cutaneous leishmaniasis by lesion swab sampling coupled to qPCR.

Authors:  Emily R Adams; Maria Adelaida Gomez; Laura Scheske; Ruby Rios; Ricardo Marquez; Alexandra Cossio; Audrey Albertini; Henk Schallig; Nancy Gore Saravia
Journal:  Parasitology       Date:  2014-08-11       Impact factor: 3.234

3.  Comparison of blood smear, antigen detection, and nested-PCR methods for screening refugees from regions where malaria is endemic after a malaria outbreak in Quebec, Canada.

Authors:  Momar Ndao; Etienne Bandyayera; Evelyne Kokoskin; Theresa W Gyorkos; J Dick MacLean; Brian J Ward
Journal:  J Clin Microbiol       Date:  2004-06       Impact factor: 5.948

4.  Adaptation and performance of a mobile application for early detection of cutaneous leishmaniasis.

Authors:  Luisa Rubiano; Neal D E Alexander; Ruth Mabel Castillo; Álvaro José Martínez; Jonny Alejandro García Luna; Juan David Arango; Leonardo Vargas; Patricia Madriñán; Lina-Rocío Hurtado; Yenifer Orobio; Carlos A Rojas; Helena Del Corral; Andrés Navarro; Nancy Gore Saravia; Eliah Aronoff-Spencer
Journal:  PLoS Negl Trop Dis       Date:  2021-02-11

5.  Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia.

Authors:  Oscar Javier Oviedo Sarmiento; María Del Mar Castro; Yenifer Orobio Lerma; Leonardo Vargas Bernal; Andrés Navarro; Neal D E Alexander
Journal:  BMC Res Notes       Date:  2021-05-31

6.  Interventions for American cutaneous and mucocutaneous leishmaniasis.

Authors:  Mariona Pinart; José-Ramón Rueda; Gustavo As Romero; Carlos Eduardo Pinzón-Flórez; Karime Osorio-Arango; Ana Nilce Silveira Maia-Elkhoury; Ludovic Reveiz; Vanessa M Elias; John A Tweed
Journal:  Cochrane Database Syst Rev       Date:  2020-08-27
  6 in total

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