Literature DB >> 21340362

Leprosy reactions: the effect of gender and household contacts.

Giuseppe Mastrangelo1, Joaquim da Silva Neto, Gilberto Valentim da Silva, Luca Scoizzato, Emanuela Fadda, Monique Dallapicola, Ana Luiza Folleto, Luca Cegolon.   

Abstract

Various host-related factors have been reported as relevant risk factors for leprosy reactions. To support a new hypothesis that an antigenic load in local tissues that is sufficient to trigger the immune response may come from an external supply of Mycobacterium leprae organisms, the prevalence of reactional leprosy was assessed against the number of household contacts. The number of contacts was ascertained at diagnosis in leprosy patients coming from an endemic area of Brazil. The prevalence of reactions (patients with reactions/total patients) was fitted by binomial regression and the risk difference (RD) was estimated with a semi-robust estimation of variance as a measure of effect. Five regression models were fitted. Model 1 included only the main exposure variable "number of household contacts"; model 2 included all four explanatory variables ("contacts", "fertile age", "number of skin lesions" and "bacillary index") that were found to be associated with the outcome upon univariate analysis; models 3-5 contained various combinations of three predictors. Male and female patients were analyzed separately. In females, household contacts were a significant predictor for leprosy reactions in model 1 [crude RD = 0.06; 95% confidence interval (CI) = 0.01; 0.12] and model 5 (RD = 0.05; CI = 0.02; 0.09), which included contacts, bacillary index and skin lesions as predictors. Other models were unsatisfactory because the joint presence of fertile age and bacillary index was a likely source of multicollinearity. No significant results were obtained for males. The likely interpretation of our findings might suggest that in female patients, leprosy reactions may be triggered by an external spreading of M. leprae by healthy carrier family members. The small number of observations is an obvious limitation of our study which requires larger confirmatory studies.

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Year:  2011        PMID: 21340362     DOI: 10.1590/s0074-02762011000100015

Source DB:  PubMed          Journal:  Mem Inst Oswaldo Cruz        ISSN: 0074-0276            Impact factor:   2.743


  5 in total

1.  Can studies where subjects have different follow-up times be analysed through binomial regression?

Authors:  Neal Alexander
Journal:  Mem Inst Oswaldo Cruz       Date:  2011-08       Impact factor: 2.743

Review 2.  Understanding the type 1 reactional state for early diagnosis and treatment: a way to avoid disability in leprosy.

Authors:  José Augusto da Costa Nery; Fred Bernardes Filho; Juliana Quintanilha; Alice Miranda Machado; Soraya de Souza Chantre Oliveira; Anna Maria Sales
Journal:  An Bras Dermatol       Date:  2013 Sep-Oct       Impact factor: 1.896

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

Authors:  Douglas Eulálio Antunes; Diogo Fernandes Santos; Mayara Ingrid Sousa Lima; Larissa Pereira Caixeta; Meydson Benjamin Carvalho Correa; Emilly Caroline Dos Santos Moraes; Natalia Carine Almeida Conceição; Luiz Ricardo Goulart; Isabela Maria Bernardes Goulart
Journal:  Front Med (Lausanne)       Date:  2022-07-25

4.  Leprosy reactions: coinfections as a possible risk factor.

Authors:  Ana Carolina F Motta; Karla Juliana Pereira; Daniela Chaves Tarquínio; Mariana Bellini Vieira; Karina Miyake; Norma Tiraboschi Foss
Journal:  Clinics (Sao Paulo)       Date:  2012-10       Impact factor: 2.365

5.  Differential Expression of IFN-γ, IL-10, TLR1, and TLR2 and Their Potential Effects on Downgrading Leprosy Reaction and Erythema Nodosum Leprosum.

Authors:  Douglas Eulálio Antunes; Isabela Maria Bernardes Goulart; Mayara Ingrid Sousa Lima; Patrícia Terra Alves; Paula Cristina Brígido Tavares; Luiz Ricardo Goulart
Journal:  J Immunol Res       Date:  2019-11-07       Impact factor: 4.818

  5 in total

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