Literature DB >> 7910661

The epidemiology of tuberculosis in San Francisco. A population-based study using conventional and molecular methods.

P M Small1, P C Hopewell, S P Singh, A Paz, J Parsonnet, D C Ruston, G F Schecter, C L Daley, G K Schoolnik.   

Abstract

BACKGROUND: The epidemiology of tuberculosis in urban populations is changing. Combining conventional epidemiologic techniques with DNA fingerprinting of Mycobacterium tuberculosis can improve the understanding of how tuberculosis is transmitted.
METHODS: We used restriction-fragment-length polymorphism (RFLP) analysis to study M. tuberculosis isolates from all patients reported to the tuberculosis registry in San Francisco during 1991 and 1992. These results were interpreted along with clinical, demographic, and epidemiologic data. Patients infected with the same strains were identified according to their RFLP patterns, and patients with identical patterns were grouped in clusters. Risk factors for being in a cluster were analyzed.
RESULTS: Of 473 patients studied, 191 appeared to have active tuberculosis as a result of recent infection. Tracing of patients' contacts with the use of conventional methods identified links among only 10 percent of these patients. DNA fingerprinting, however, identified 44 clusters, 20 of which consisted of only 2 persons and the largest of which consisted of 30 persons. In patients under 60 years of age, Hispanic ethnicity (odds ratio, 3.3; P = 0.02), black race (odds ratio, 2.3; P = 0.02), birth in the United States (odds ratio, 5.8; P < 0.001), and a diagnosis of the acquired immunodeficiency syndrome (odds ratio, 1.8; P = 0.04) were independently associated with being in a cluster. Further study of patients in clusters confirmed that poorly compliant patients with infectious tuberculosis have a substantial adverse effect on the control of this disease.
CONCLUSIONS: Despite an efficient tuberculosis-control program, nearly a third of new cases of tuberculosis in San Francisco are the result of recent infection. Few of these instances of transmission are identified by conventional contact tracing.

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Year:  1994        PMID: 7910661     DOI: 10.1056/NEJM199406163302402

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  341 in total

1.  Discrimination of multidrug-resistant Mycobacterium tuberculosis IS6110 fingerprint subclusters by rpoB gene mutation analysis.

Authors:  I Portugal; S Maia; J Moniz-Pereira
Journal:  J Clin Microbiol       Date:  1999-09       Impact factor: 5.948

Review 2.  Genetic fingerprinting in the study of tuberculosis transmission.

Authors:  S Kulaga; M A Behr; K Schwartzman
Journal:  CMAJ       Date:  1999-11-02       Impact factor: 8.262

3.  Rapid identification of laboratory contamination with Mycobacterium tuberculosis using variable number tandem repeat analysis.

Authors:  D M Gascoyne-Binzi; R E Barlow; R Frothingham; G Robinson; T A Collyns; R Gelletlie; P M Hawkey
Journal:  J Clin Microbiol       Date:  2001-01       Impact factor: 5.948

4.  Molecular epidemiology of Mycobacterium tuberculosis in Norway.

Authors:  U R Dahle; P Sandven; E Heldal; D A Caugant
Journal:  J Clin Microbiol       Date:  2001-05       Impact factor: 5.948

Review 5.  How molecular epidemiology has changed what we know about tuberculosis.

Authors:  M Kato-Maeda; P M Small
Journal:  West J Med       Date:  2000-04

Review 6.  Tuberculous meningitis.

Authors:  G Thwaites; T T Chau; N T Mai; F Drobniewski; K McAdam; J Farrar
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-03       Impact factor: 10.154

7.  Molecular and conventional epidemiology of Mycobacterium tuberculosis in Botswana: a population-based prospective study of 301 pulmonary tuberculosis patients.

Authors:  S Lockman; J D Sheppard; C R Braden; M J Mwasekaga; C L Woodley; T A Kenyon; N J Binkin; M Steinman; F Montsho; M Kesupile-Reed; C Hirschfeldt; M Notha; T Moeti; J W Tappero
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

8.  Estimation of the rate of unrecognized cross-contamination with mycobacterium tuberculosis in London microbiology laboratories.

Authors:  M Ruddy; T D McHugh; J W Dale; D Banerjee; H Maguire; P Wilson; F Drobniewski; P Butcher; S H Gillespie
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

Review 9.  Comparative genomics of mycobacteria: some answers, yet more new questions.

Authors:  Marcel A Behr
Journal:  Cold Spring Harb Perspect Med       Date:  2014-11-13       Impact factor: 6.915

Review 10.  Mixed-strain mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control.

Authors:  Ted Cohen; Paul D van Helden; Douglas Wilson; Caroline Colijn; Megan M McLaughlin; Ibrahim Abubakar; Robin M Warren
Journal:  Clin Microbiol Rev       Date:  2012-10       Impact factor: 26.132

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