Literature DB >> 10472363

Patient contact is the major determinant in incident leprosy: implications for future control.

S M van Beers1, M Hatta, P R Klatser.   

Abstract

Notwithstanding the elimination efforts, leprosy control programs face the problem of many leprosy patients remaining undetected. Leprosy control focuses on early diagnosis through screening of household contacts, although this high-risk group generates only a small proportion of all incident cases. For the remaining incident cases, leprosy control programs have to rely on self-reporting of patients. We explored the extent to which other contact groups contribute to incident leprosy. We examined retrospectively incident leprosy over 25 years in a high-endemic village of 2283 inhabitants in Sulawesi, Indonesia, by systematically reviewing data obtained from the local program and actively gathering data through interviews and a house-to-house survey. We investigated the contact status in the past of every incident case. In addition to household contact, we distinguished neighbor and social contacts. Of the 101 incident cases over a 25-year period, 79 (78%) could be associated to contact with another leprosy patient. Twenty-eight (28%) of these 101 cases were identified as household contacts, 36 (36%) as neighbors, and the remaining 15 (15%) as social contacts. Three patients had not had a traceable previous contact with another leprosy patient, and no information could be gathered from 19 patients. The median span of time from the registration of the primary case to that of the secondary case was 3 years; 95% of the secondary cases were detected within 6 years after the primary case. The estimated risk for leprosy was about nine times higher in households of patients and four times higher in direct neighboring houses of patients compared to households that had had no such contact with patients. The highest risk of leprosy was associated with households of multibacillary patients. The risk of leprosy for households of paucibacillary patients was similar to the risk of leprosy for direct neighboring houses of multibacillary patients, indicating that both the type of leprosy of the primary case and the distance to the primary case are important contributing factors for the risk of leprosy. Contact with a leprosy patient is the major determinant in incident leprosy; the type of contact is not limited to household relationships but also includes neighbor and social relationships. This finding can be translated into a valuable and sustainable tool for leprosy control programs and elimination campaigns by focusing case detection and health promotion activities not only on household contacts but also on at least the neighbors of leprosy cases.

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Mesh:

Year:  1999        PMID: 10472363

Source DB:  PubMed          Journal:  Int J Lepr Other Mycobact Dis        ISSN: 0148-916X


  42 in total

Review 1.  Mycobacterium leprae-host-cell interactions and genetic determinants in leprosy: an overview.

Authors:  Roberta Olmo Pinheiro; Jorgenilce de Souza Salles; Euzenir Nunes Sarno; Elizabeth Pereira Sampaio
Journal:  Future Microbiol       Date:  2011-02       Impact factor: 3.165

2.  Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy.

Authors:  Karina T O S Jorge; Renan P Souza; Marieta T A Assis; Marcelo G Araújo; Massimo Locati; Amélia M R Jesus; Ida M F Dias Baptista; Cristiano X Lima; Antônio L Teixeira; Mauro M Teixeira; Frederico M Soriani
Journal:  J Clin Microbiol       Date:  2017-03-08       Impact factor: 5.948

3.  Simple and fast lateral flow test for classification of leprosy patients and identification of contacts with high risk of developing leprosy.

Authors:  S Bührer-Sékula; H L Smits; G C Gussenhoven; J van Leeuwen; S Amador; T Fujiwara; P R Klatser; L Oskam
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

4.  The spatial distribution of leprosy in four villages in Bangladesh: an observational study.

Authors:  Eaj Fischer; D Pahan; Sk Chowdhury; L Oskam; Jh Richardus
Journal:  BMC Infect Dis       Date:  2008-09-23       Impact factor: 3.090

5.  Different mechanisms for heterogeneity in leprosy susceptibility can explain disease clustering within households.

Authors:  Egil Fischer; Sake De Vlas; Abraham Meima; Dik Habbema; Jan Richardus
Journal:  PLoS One       Date:  2010-11-19       Impact factor: 3.240

6.  Antigen-specific T-cell responses of leprosy patients.

Authors:  Malcolm S Duthie; Wakako Goto; Greg C Ireton; Stephen T Reece; Lucas H Sampaio; A B Grassi; Ana Lucia M Sousa; Celina M T Martelli; Mariane M A Stefani; Steven G Reed
Journal:  Clin Vaccine Immunol       Date:  2008-09-10

7.  Prospective study of serological conversion as a risk factor for development of leprosy among household contacts.

Authors:  J T Douglas; R V Cellona; T T Fajardo; R M Abalos; M V F Balagon; P R Klatser
Journal:  Clin Diagn Lab Immunol       Date:  2004-09

8.  Rapid variable-number tandem-repeat genotyping for Mycobacterium leprae clinical specimens.

Authors:  Miyako Kimura; Rama Murthy Sakamuri; Nathan A Groathouse; Becky L Rivoire; David Gingrich; Susan Krueger-Koplin; Sang-Nae Cho; Patrick J Brennan; Varalakshmi Vissa
Journal:  J Clin Microbiol       Date:  2009-04-22       Impact factor: 5.948

9.  Population-based molecular epidemiology of leprosy in Cebu, Philippines.

Authors:  Rama Murthy Sakamuri; Miyako Kimura; Wei Li; Hyun-Chul Kim; Hyeyoung Lee; Madanahally D Kiran; William C Black; Marivic Balagon; Robert Gelber; Sang-Nae Cho; Patrick J Brennan; Varalakshmi Vissa
Journal:  J Clin Microbiol       Date:  2009-07-01       Impact factor: 5.948

10.  ML0405 and ML2331 are antigens of Mycobacterium leprae with potential for diagnosis of leprosy.

Authors:  Stephen T Reece; Greg Ireton; Raodoh Mohamath; Jeffrey Guderian; Wakako Goto; Robert Gelber; Nathan Groathouse; John Spencer; Patrick Brennan; Steven G Reed
Journal:  Clin Vaccine Immunol       Date:  2006-03
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