Literature DB >> 19377714

New methods for estimating the tuberculosis case detection rate in high-HIV prevalence countries: the example of Kenya.

John Mansoer1, Suzanne Scheele, Katherine Floyd, Christopher Dye, Joseph Sitienei, Brian Williams.   

Abstract

OBJECTIVE: To develop new methods for estimating the sputum smear-positive tuberculosis case detection rate (CDR) in a country where infection with HIV is prevalent.
METHODS: We estimated the smear-positive tuberculosis CDR in HIV-negative and HIV-positive adults, and in all adults in Kenya. Data on time trends in tuberculosis case notification rates and on HIV infection prevalence in adults and in tuberculosis patients were used, along with data on tuberculosis control programme performance.
FINDINGS: In 2006, the estimated smear-positive tuberculosis CDR in HIV-negative adults was 79% (95% confidence interval, CI: 64-94) and in HIV-positive adults, 57% (95% CI: 26-88), giving a weighted mean of 68% (95% CI: 49-87). The separate estimate for all smear-positive tuberculosis cases was 72% (95% CI: 53-91), giving an overall average for the three estimates of 70% (95% CI: 58-82). As the tuberculosis CDR in 1996 was 57% (95% CI: 47-67), the estimated increase by 2006 was 13 percentage points (95% CI: 6-20), or 23%. This increase was accompanied by a more than doubling of the resources devoted to tuberculosis control in Kenya, including facilities and staff.
CONCLUSION: Using three approaches to estimate the tuberculosis CDR in a country where HIV infection is prevalent, we showed that expansion of the tuberculosis control programme in Kenya led to an increase of 23% in the CDR between 1996 and 2006. While the methods developed here can be applied in other countries with a high prevalence of HIV infection, they rely on precise data on trends in such prevalence in the general population and among tuberculosis patients.

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Year:  2009        PMID: 19377714      PMCID: PMC2654653          DOI: 10.2471/blt.08.051474

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  25 in total

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4.  CD4 decline and incidence of opportunistic infections in Cape Town, South Africa: implications for prophylaxis and treatment.

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Journal:  J Acquir Immune Defic Syndr       Date:  2006-08-01       Impact factor: 3.731

5.  A prospective study of the risk of tuberculosis among intravenous drug users with human immunodeficiency virus infection.

Authors:  P A Selwyn; D Hartel; V A Lewis; E E Schoenbaum; S H Vermund; R S Klein; A T Walker; G H Friedland
Journal:  N Engl J Med       Date:  1989-03-02       Impact factor: 91.245

6.  Survival rate and risk factors of mortality among HIV/tuberculosis-coinfected patients with and without antiretroviral therapy.

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7.  Incidence of Tuberculosis among HIV-infected patients receiving highly active antiretroviral therapy in Europe and North America.

Authors:  Enrico Girardi; Caroline A Sabin; Antonella d'Arminio Monforte; Bob Hogg; Andrew N Phillips; M John Gill; Francois Dabis; Peter Reiss; Ole Kirk; Enos Bernasconi; Sophie Grabar; Amy Justice; Schlomo Staszewski; Gerd Fätkenheuer; Jonathan A C Sterne
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8.  Infectiousness of Mycobacterium tuberculosis in HIV-1-infected patients with tuberculosis: a prospective study.

Authors:  M A Espinal; E N Peréz; J Baéz; L Hénriquez; K Fernández; M Lopez; P Olivo; A L Reingold
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9.  How soon after infection with HIV does the risk of tuberculosis start to increase? A retrospective cohort study in South African gold miners.

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Review 10.  Measuring tuberculosis burden, trends, and the impact of control programmes.

Authors:  C Dye; A Bassili; A L Bierrenbach; J F Broekmans; V K Chadha; P Glaziou; P G Gopi; M Hosseini; S J Kim; D Manissero; I Onozaki; H L Rieder; S Scheele; F van Leth; M van der Werf; B G Williams
Journal:  Lancet Infect Dis       Date:  2008-01-16       Impact factor: 25.071

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  2 in total

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Authors:  María S Sánchez; James O Lloyd-Smith; Wayne M Getz
Journal:  PLoS One       Date:  2010-01-20       Impact factor: 3.240

2.  Tuberculosis control and economic recession: longitudinal study of data from 21 European countries, 1991-2012.

Authors:  Aaron Reeves; Sanjay Basu; Martin McKee; Andreas Sandgren; David Stuckler; Jan C Semenza
Journal:  Bull World Health Organ       Date:  2015-04-15       Impact factor: 9.408

  2 in total

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