Literature DB >> 15941800

Effect of routine isoniazid preventive therapy on tuberculosis incidence among HIV-infected men in South Africa: a novel randomized incremental recruitment study.

Alison D Grant1, Salome Charalambous, Katherine L Fielding, John H Day, Elizabeth L Corbett, Richard E Chaisson, Kevin M De Cock, Richard J Hayes, Gavin J Churchyard.   

Abstract

CONTEXT: Tuberculosis preventive therapy reduces tuberculosis incidence among human immunodeficiency virus (HIV)-infected individuals in clinical trials, but implementation has been limited and there are no data on effectiveness under routine conditions.
OBJECTIVE: To determine the effect on tuberculosis incidence of a clinic providing isoniazid preventive therapy to HIV-infected adults under routine conditions. DESIGN, SETTING, AND PARTICIPANTS: Randomized intervention study with a novel incremental recruitment design. Between 1999 and 2001 (before antiretroviral therapy was available), 1655 HIV-infected male employees of a South African gold-mining company (median age, 37 years) were enrolled in the study. Median follow-up was 22.1 months. INTERVENTION: Employees were invited in random sequence to attend a workplace HIV clinic. Isoniazid, 300 mg/d, was self-administered for 6 months among attendees with no evidence of active tuberculosis. MAIN OUTCOME MEASURE: Incidence of tuberculosis (including both first and recurrent episodes) during the periods before and after clinic enrollment.
RESULTS: A total of 1016 of 1655 men included in the analysis attended the clinic at least once. Six hundred seventy-nine (97%) of 702 men eligible to start primary isoniazid preventive therapy did so. The tuberculosis incidence rate before vs after clinic enrollment was 11.9 vs 9.0 per 100 person-years, respectively (incidence rate ratio [IRR] after adjustment for calendar period, 0.68; 95% confidence interval [CI], 0.48-0.96). In a multivariable analysis adjusting for calendar period, age, and silicosis grade, the tuberculosis IRR for clinic enrollment was 0.62 (95% CI, 0.43-0.89). In a further analysis excluding individuals with a history of tuberculosis (and, hence, ineligible for isoniazid preventive therapy), the adjusted IRR for clinic enrollment was 0.54 (95% CI, 0.35-0.83).
CONCLUSIONS: Enrollment in a clinic offering primary isoniazid preventive therapy to HIV-infected adults reduced tuberculosis incidence by 38% overall and by 46% among individuals with no history of tuberculosis prior to the study. Tuberculosis incidence remained high despite isoniazid preventive therapy, and further work is needed to determine how to use additional interventions most effectively to reduce morbidity and mortality due to tuberculosis in HIV-infected persons.

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Year:  2005        PMID: 15941800     DOI: 10.1001/jama.293.22.2719

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  44 in total

1.  Beneficial and perverse effects of isoniazid preventive therapy for latent tuberculosis infection in HIV-tuberculosis coinfected populations.

Authors:  Ted Cohen; Marc Lipsitch; Rochelle P Walensky; Megan Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

2.  Association of isoniazid preventive therapy with lower early mortality in individuals on antiretroviral therapy in a workplace programme.

Authors:  Salome Charalambous; Alison D Grant; Craig Innes; Christopher J Hoffmann; Rob Dowdeswell; Jan Pienaar; Katherine L Fielding; Gavin J Churchyard
Journal:  AIDS       Date:  2010-11       Impact factor: 4.177

3.  Tuberculosis control: challenges of an ancient and ongoing epidemic.

Authors:  Kristin J Cummings
Journal:  Public Health Rep       Date:  2007 Sep-Oct       Impact factor: 2.792

4.  Implementation and Operational Research: Declining Tuberculosis Incidence Among People Receiving HIV Care and Treatment Services in East Africa, 2007-2012.

Authors:  Suzue Saito; Philani Mpofu; E Jane Carter; Lameck Diero; Kara K Wools-Kaloustian; Constantin T Yiannoutsos; Musick S Beverly; Simon Tsiouris; Geoffrey R Somi; John Ssali; Denis Nash; Batya Elul
Journal:  J Acquir Immune Defic Syndr       Date:  2016-04-01       Impact factor: 3.731

5.  Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.

Authors:  JoAnna M Scott; Allan deCamp; Michal Juraska; Michael P Fay; Peter B Gilbert
Journal:  Stat Methods Med Res       Date:  2014-09-29       Impact factor: 3.021

6.  Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea.

Authors:  A Carmone; C A Rodriguez; T D Frank; M Kiromat; P W Bongi; R G Kuno; T Palou; M F Franke
Journal:  Public Health Action       Date:  2017-09-21

Review 7.  A systematic review of published literature describing factors associated with tuberculosis recurrence in people living with HIV in Africa.

Authors:  Yoshan Moodley; Kumeren Govender
Journal:  Afr Health Sci       Date:  2015-12       Impact factor: 0.927

8.  Interpreting meta-analysis according to the adequacy of sample size. An example using isoniazid chemoprophylaxis for tuberculosis in purified protein derivative negative HIV-infected individuals.

Authors:  Kristian Thorlund; Aranka Anema; Edward Mills
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

9.  Incidence and risk factors of tuberculosis in patients with human immunodeficiency virus infection.

Authors:  Jeong-Hwan Hwang; Pyoeng Gyun Choe; Nak Hyun Kim; Ji Hwan Bang; Kyoung-Ho Song; Wan Beom Park; Eu Suk Kim; Sang Won Park; Hong-Bin Kim; Nam Joong Kim; Myoung-Don Oh; Kang Won Choe
Journal:  J Korean Med Sci       Date:  2013-03-04       Impact factor: 2.153

10.  High-sensitive and rapid detection of Mycobacterium tuberculosis infection by IFN-gamma release assay among HIV-infected individuals in BCG-vaccinated area.

Authors:  Weimin Jiang; Lingyun Shao; Ying Zhang; Shu Zhang; Chengyan Meng; Yunya Xu; Lingli Huang; Yun Wang; Ying Wang; Xinhua Weng; Wenhong Zhang
Journal:  BMC Immunol       Date:  2009-05-28       Impact factor: 3.615

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