Literature DB >> 6763793

The development of clinical tuberculosis following infection with tubercle bacilli. 1. A theoretical model for the development of clinical tuberculosis following infection, linking from data on the risk of tuberculous infection and the incidence of clinical tuberculosis in the Netherlands.

I Sutherland, E Svandová, S Radhakrishna.   

Abstract

Information on the risk of tuberculous infection in the Netherlands has been linked with information on the incidence of tuberculosis, in an attempt to estimate the risks of developing the disease following infection or reinfection. It was postulated that: (a) those with a recent primary infection had a characteristic risk of developing progressive primary tuberculosis; (b) those with a distant (i.e. not recent) primary infection and a recent reinfection had a characteristic risk of developing exogenous tuberculosis; and (c) those with a distant primary infection but no recent reinfection had a characteristic risk of developing endogenous tuberculosis. The information on the risk of tuberculous infection was used to estimate the size of the population in each of these infection classes for different age-groups and calendar years in the Netherlands. Using multiple regression to link these population figures with the information on tuberculosis incidence in the same age group and calendar year, it was possible to estimate the above risks of developing tuberculosis. For Netherlands males aged 15-69 years during the period 1951-70 the three risks of developing pulmonary tuberculosis were estimated to be: (a) 5.06 per cent annually (for 5 years) following primary infection; (b) 1.91 per cent annually (for 5 years) following reinfection; (c) 0.0253 per cent annually, after the first 5 years following primary infection, in the absence of reinfection. The corresponding (and significantly different) estimated annual risks of development of pulmonary tuberculosis for females were 5.85, 1.10 and 0.0020 per cent respectively. From these risks, it may be estimated that the degree of protection conferred by a distant primary infection, against pulmonary tuberculosis arising from a recent reinfection, was 63 per cent for males and 81 per cent for females. The estimated relative proportions of cases of progressive primary, exogenous and endogenous tuberculosis varied considerably with age and calendar year. Progressive primary tuberculosis was dominant at the younger ages, exogenous and endogenous tuberculosis at older ages. At these older ages, the great majority of cases in the Netherlands in the early 1950s appeared to be exogenous in origin, but by 1970, with the decrease in the risk of infection, the exogenous contribution had dwindled substantially, especially among males.

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Year:  1982        PMID: 6763793     DOI: 10.1016/s0041-3879(82)80013-5

Source DB:  PubMed          Journal:  Tubercle        ISSN: 0041-3879


  51 in total

1.  Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission.

Authors:  Ted Cohen; Caroline Colijn; Bryson Finklea; Megan Murray
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

2.  Limited impact of tuberculosis control in Hong Kong: attributable to high risks of reactivation disease.

Authors:  E Vynnycky; M W Borgdorff; C C Leung; C M Tam; P E M Fine
Journal:  Epidemiol Infect       Date:  2007-08-03       Impact factor: 2.451

3.  Modeling the impact of alternative strategies for rapid molecular diagnosis of tuberculosis in Southeast Asia.

Authors:  Amanda Y Sun; Madhukar Pai; Henrik Salje; Srinath Satyanarayana; Sarang Deo; David W Dowdy
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

4.  Impact of isoniazid preventive therapy for HIV-infected adults in Rio de Janeiro, Brazil: an epidemiological model.

Authors:  David W Dowdy; Jonathan E Golub; Valeria Saraceni; Lawrence H Moulton; Solange C Cavalcante; Silvia Cohn; Antonio G Pacheco; Richard E Chaisson; Betina Durovni
Journal:  J Acquir Immune Defic Syndr       Date:  2014-08-15       Impact factor: 3.731

5.  The persistence of tuberculosis in the age of DOTS: reassessing the effect of case detection.

Authors:  David W Dowdy; Richard E Chaisson
Journal:  Bull World Health Organ       Date:  2009-04       Impact factor: 9.408

6.  Modeling the joint epidemics of TB and HIV in a South African township.

Authors:  Nicolas Bacaër; Rachid Ouifki; Carel Pretorius; Robin Wood; Brian Williams
Journal:  J Math Biol       Date:  2008-04-15       Impact factor: 2.259

7.  Modeling the impact of global tuberculosis control strategies.

Authors:  C J Murray; J A Salomon
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-10       Impact factor: 11.205

8.  Predominant Mycobacterium tuberculosis Families and High Rates of Recent Transmission among New Cases Are Not Associated with Primary Multidrug Resistance in Lima, Peru.

Authors:  Francesca Barletta; Larissa Otero; Bouke C de Jong; Tomotada Iwamoto; Kentaro Arikawa; Patrick Van der Stuyft; Stefan Niemann; Matthias Merker; Cécile Uwizeye; Carlos Seas; Leen Rigouts
Journal:  J Clin Microbiol       Date:  2015-03-25       Impact factor: 5.948

Review 9.  Risk of progression to active tuberculosis following reinfection with Mycobacterium tuberculosis.

Authors:  Jason R Andrews; Farzad Noubary; Rochelle P Walensky; Rodrigo Cerda; Elena Losina; C Robert Horsburgh
Journal:  Clin Infect Dis       Date:  2012-01-19       Impact factor: 9.079

10.  Modeling the dynamic relationship between HIV and the risk of drug-resistant tuberculosis.

Authors:  Rinat Sergeev; Caroline Colijn; Megan Murray; Ted Cohen
Journal:  Sci Transl Med       Date:  2012-05-23       Impact factor: 17.956

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