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How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region

BACKGROUND: Cutaneous leishmaniasis (CL) is a parasitic infection transmitted by the female sandfly, which has limited knowledge in non-endemic areas. AIMS: To predict the epidemiological and clinical characteristics of CL cases on treatment during the period of Syrian refugees’ settlement. METHODS...

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Autores principales: Altinel, Yuksel, Tas, Betul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644756/
https://www.ncbi.nlm.nih.gov/pubmed/36386067
http://dx.doi.org/10.4103/ijd.IJD_452_20
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author Altinel, Yuksel
Tas, Betul
author_facet Altinel, Yuksel
Tas, Betul
author_sort Altinel, Yuksel
collection PubMed
description BACKGROUND: Cutaneous leishmaniasis (CL) is a parasitic infection transmitted by the female sandfly, which has limited knowledge in non-endemic areas. AIMS: To predict the epidemiological and clinical characteristics of CL cases on treatment during the period of Syrian refugees’ settlement. METHODS AND MATERIAL: The epidemiological and clinical data of 81 patients with CL who were admitted to the Istanbul Bagcilar Research and Training Hospital between March 2010 and April 2017 were conducted as a retrospective cohort study. A logistic regression analysis was performed. RESULTS: Most detected demographics were Syrians (n = 56, 69.1%), ages <= 18 (n = 37, 45.7%), males (n = 49, 60.5%), elementary-school graduates (n = 35, 43.2%), and $500–750 income (n = 42, 51.9%). Most detected clinical characteristics were head/neck location (n = 38, 46.9%), acute-dry localized type (n = 71, 88%), crusted-papule (n = 79, 97.5%), and two lesions (n = 29, 35.8%). Means for age, family population, and session were 25.28 ± 20.90, 7.04 ± 2.03, and 11.27 ± 3.52, respectively. Majority of patients were admitted in 2014 and June. Significant factors by age were location, lesion type/number, and disease-duration. Lesion number ≥10, ages ≥41, crusted-nodule, cicatrix, and dissemination increased in session numbers, whereas crusted-nodule showed significant predictivity (P = 0.01). CONCLUSION: Location, lesion type/number, and disease duration may change by age in CL cases, whereas the presence of a crusted nodule may have a predictive effect on the number of treatment sessions.
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spelling pubmed-96447562022-11-15 How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region Altinel, Yuksel Tas, Betul Indian J Dermatol Original Article BACKGROUND: Cutaneous leishmaniasis (CL) is a parasitic infection transmitted by the female sandfly, which has limited knowledge in non-endemic areas. AIMS: To predict the epidemiological and clinical characteristics of CL cases on treatment during the period of Syrian refugees’ settlement. METHODS AND MATERIAL: The epidemiological and clinical data of 81 patients with CL who were admitted to the Istanbul Bagcilar Research and Training Hospital between March 2010 and April 2017 were conducted as a retrospective cohort study. A logistic regression analysis was performed. RESULTS: Most detected demographics were Syrians (n = 56, 69.1%), ages <= 18 (n = 37, 45.7%), males (n = 49, 60.5%), elementary-school graduates (n = 35, 43.2%), and $500–750 income (n = 42, 51.9%). Most detected clinical characteristics were head/neck location (n = 38, 46.9%), acute-dry localized type (n = 71, 88%), crusted-papule (n = 79, 97.5%), and two lesions (n = 29, 35.8%). Means for age, family population, and session were 25.28 ± 20.90, 7.04 ± 2.03, and 11.27 ± 3.52, respectively. Majority of patients were admitted in 2014 and June. Significant factors by age were location, lesion type/number, and disease-duration. Lesion number ≥10, ages ≥41, crusted-nodule, cicatrix, and dissemination increased in session numbers, whereas crusted-nodule showed significant predictivity (P = 0.01). CONCLUSION: Location, lesion type/number, and disease duration may change by age in CL cases, whereas the presence of a crusted nodule may have a predictive effect on the number of treatment sessions. Wolters Kluwer - Medknow 2022 /pmc/articles/PMC9644756/ /pubmed/36386067 http://dx.doi.org/10.4103/ijd.IJD_452_20 Text en Copyright: © 2022 Indian Journal of Dermatology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Altinel, Yuksel
Tas, Betul
How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title_full How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title_fullStr How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title_full_unstemmed How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title_short How to Predict the Diagnosis of Cutaneous Leishmaniasis in a Non-Endemic Region
title_sort how to predict the diagnosis of cutaneous leishmaniasis in a non-endemic region
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644756/
https://www.ncbi.nlm.nih.gov/pubmed/36386067
http://dx.doi.org/10.4103/ijd.IJD_452_20
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