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Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study

INTRODUCTION: Leprosy reactions, the main cause of neural damage, can occur up to 7 years after starting multidrug therapy. We aimed to approach the prognostic factors that may influence the leprosy reactions over the follow-up time. METHODS: Retrospective cohort study, encompassing 10 years of data...

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Autores principales: Antunes, Douglas Eulálio, Santos, Diogo Fernandes, Lima, Mayara Ingrid Sousa, Caixeta, Larissa Pereira, Correa, Meydson Benjamin Carvalho, Moraes, Emilly Caroline dos Santos, Conceição, Natalia Carine Almeida, Goulart, Luiz Ricardo, Goulart, Isabela Maria Bernardes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358030/
https://www.ncbi.nlm.nih.gov/pubmed/35957854
http://dx.doi.org/10.3389/fmed.2022.841030
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author Antunes, Douglas Eulálio
Santos, Diogo Fernandes
Lima, Mayara Ingrid Sousa
Caixeta, Larissa Pereira
Correa, Meydson Benjamin Carvalho
Moraes, Emilly Caroline dos Santos
Conceição, Natalia Carine Almeida
Goulart, Luiz Ricardo
Goulart, Isabela Maria Bernardes
author_facet Antunes, Douglas Eulálio
Santos, Diogo Fernandes
Lima, Mayara Ingrid Sousa
Caixeta, Larissa Pereira
Correa, Meydson Benjamin Carvalho
Moraes, Emilly Caroline dos Santos
Conceição, Natalia Carine Almeida
Goulart, Luiz Ricardo
Goulart, Isabela Maria Bernardes
author_sort Antunes, Douglas Eulálio
collection PubMed
description INTRODUCTION: Leprosy reactions, the main cause of neural damage, can occur up to 7 years after starting multidrug therapy. We aimed to approach the prognostic factors that may influence the leprosy reactions over the follow-up time. METHODS: Retrospective cohort study, encompassing 10 years of data collection, composed of 390 patients, divided into 201 affected by reactions and 189 reaction-free individuals. Epidemiological, clinical, and laboratory variables were approached as prognostic factors associated with leprosy reactions. The association among variables was analyzed by a binomial test and survival curves were compared by the Kaplan-Meier and Cox proportional-hazards regression. RESULTS: 51.5% (201/390) of patients were affected by leprosy reactions. These immunological events were associated with lepromatous leprosy (16.2%; 63/390; p < 0.0001) and multibacillary group (43%; 169/390; p < 0.0001). This study showed that survival curves for the prognostic factor anti-PGL-I, comparing positive and negative cases at diagnosis, differed in relation to the follow-up time (Log Rank: p = 0.0760; Breslow: p = 0.0090; Tarone-Ware: p = 0.0110). The median survival times (time at which 50% of patients were affected by leprosy reactions) were 5 and 9 months for those reactional cases with negative (26/51) and positive serology (75/150), respectively. The time-dependent covariates in the cox proportional-hazards regression showed anti-PGL-I as the main prognostic factor to predict leprosy reactions (hazard ratio=1.91; p = 0.0110) throughout the follow-up time. CONCLUSIONS: Finally, these findings demonstrated that anti-PGL-I serology at diagnosis is the most important prognostic factor for leprosy reactions after starting multidrug therapy, thus enabling prediction of this immunological event.
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spelling pubmed-93580302022-08-10 Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study Antunes, Douglas Eulálio Santos, Diogo Fernandes Lima, Mayara Ingrid Sousa Caixeta, Larissa Pereira Correa, Meydson Benjamin Carvalho Moraes, Emilly Caroline dos Santos Conceição, Natalia Carine Almeida Goulart, Luiz Ricardo Goulart, Isabela Maria Bernardes Front Med (Lausanne) Medicine INTRODUCTION: Leprosy reactions, the main cause of neural damage, can occur up to 7 years after starting multidrug therapy. We aimed to approach the prognostic factors that may influence the leprosy reactions over the follow-up time. METHODS: Retrospective cohort study, encompassing 10 years of data collection, composed of 390 patients, divided into 201 affected by reactions and 189 reaction-free individuals. Epidemiological, clinical, and laboratory variables were approached as prognostic factors associated with leprosy reactions. The association among variables was analyzed by a binomial test and survival curves were compared by the Kaplan-Meier and Cox proportional-hazards regression. RESULTS: 51.5% (201/390) of patients were affected by leprosy reactions. These immunological events were associated with lepromatous leprosy (16.2%; 63/390; p < 0.0001) and multibacillary group (43%; 169/390; p < 0.0001). This study showed that survival curves for the prognostic factor anti-PGL-I, comparing positive and negative cases at diagnosis, differed in relation to the follow-up time (Log Rank: p = 0.0760; Breslow: p = 0.0090; Tarone-Ware: p = 0.0110). The median survival times (time at which 50% of patients were affected by leprosy reactions) were 5 and 9 months for those reactional cases with negative (26/51) and positive serology (75/150), respectively. The time-dependent covariates in the cox proportional-hazards regression showed anti-PGL-I as the main prognostic factor to predict leprosy reactions (hazard ratio=1.91; p = 0.0110) throughout the follow-up time. CONCLUSIONS: Finally, these findings demonstrated that anti-PGL-I serology at diagnosis is the most important prognostic factor for leprosy reactions after starting multidrug therapy, thus enabling prediction of this immunological event. Frontiers Media S.A. 2022-07-25 /pmc/articles/PMC9358030/ /pubmed/35957854 http://dx.doi.org/10.3389/fmed.2022.841030 Text en Copyright © 2022 Antunes, Santos, Lima, Caixeta, Correa, Moraes, Conceição, Goulart and Goulart. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Antunes, Douglas Eulálio
Santos, Diogo Fernandes
Lima, Mayara Ingrid Sousa
Caixeta, Larissa Pereira
Correa, Meydson Benjamin Carvalho
Moraes, Emilly Caroline dos Santos
Conceição, Natalia Carine Almeida
Goulart, Luiz Ricardo
Goulart, Isabela Maria Bernardes
Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title_full Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title_fullStr Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title_full_unstemmed Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title_short Clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: A 10-year retrospective cohort study
title_sort clinical, epidemiological, and laboratory prognostic factors in patients with leprosy reactions: a 10-year retrospective cohort study
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358030/
https://www.ncbi.nlm.nih.gov/pubmed/35957854
http://dx.doi.org/10.3389/fmed.2022.841030
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