alexa

GET THE APP

Survival Experience and its Predictors among TB/HIV Co-infected Patients in Southwest Ethiopia | OMICS International| Abstract
ISSN: 2161-1165

Epidemiology: Open Access
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • Epidemiology (Sunnyvale) 2015, Vol 5(2): 191
  • DOI: 10.4172/2161-1165.1000191

Survival Experience and its Predictors among TB/HIV Co-infected Patients in Southwest Ethiopia

Hailay Abrha1,2*, Birtukan Tsehayneh1,3, Desalegn Massa1, Amanuel Tesfay4 and Hafte Kahsay5
1Department of Epidemiology, Jimma University, Jimma, Ethiopia
2Discipline of Public Health, Flinders University, South Australia, Australia
3Department of Statistics, Alberta University, , Canada
4Department of Population and Family Health, Jimma University, Jimma, Ethiopia
5Filtu Hospital, , Somali, Ethiopia
*Corresponding Author : Hailay Abrha, Department of Epidemiology, Jimma University, Jimma, Ethiopia, Tel: +61 470020884, Email: [email protected]

Received Date: Jun 11, 2015 / Accepted Date: Jun 23, 2015 / Published Date: Jun 28, 2015

Abstract

Background: HIV-TB co-infection is “bidirectional and synergistic”. HIV promotes the progression of latent tuberculosis infection to disease and tuberculosis accelerates the progression of HIV disease to its advanced stage. To date, there have been limited clinical data regarding survival rates among TB/HIV co-infected patients and the impact of antiretroviral therapy on clinical outcomes in developing countries. Therefore, this study assessed the predictors of TB/HIV associated mortality in a cohort of HIV infected patients treated with antiretroviral therapy in Jimma University Teaching Hospital.

Methods: Retrospective study was conducted in Jimma University Teaching Hospital from September 01, 2010 to August 31, 2012. All records of adult TB-HIV co-infected patients who follow TB-HIV care in Jimma University Teaching Hospital between 01 September of 2010 and 31 August of 2012 were retrieved. Data were entered by Epidata and was exported to SPSS version 19. Data were analyzed using proportional hazards cox model with stepwise variable selection to identify independent predictors. P value below 0.05 was considered statistically significant in the final model.

Results: Fifty five (20.2%) Tb HIV co-infected patients were died in the year September 2010 to August 2012, and 272 study subjects contributed 3, 082.7 person month observations. Age between 35-44 years (AHR=2.9; 95%CI: 1.08-7.6), being commercial sex worker (AHR=9.1; 95%CI: 2.7-30.7), bed ridden functional status (AHR=3.2; 95%CI: 1.2-8.7), and WHO stages 2 (AHR=0.2; 95%CI: 0.06-0.5), 3(AHR=0.3; 95%CI: 0.1-0.8) and 4(AHR=0.2; 95%CI: 0.04-0.55) were the independent factors affecting mortality of TB-HIV co-infected patients.

Conclusions: More than 1 in 5 TB-HIV co-infected individuals died. The independent predictors were age between 35-44 years, being student and commercial sex worker, bed ridden functional status, and WHO stages 2, 3, and 4. Therefore, attention should be given to reduce the considerable amount of death, and specific intervention should be designed focusing on the independent predictors.

Keywords: TB-HIV; Survival; Retrospective cohort; Ethiopia

Citation: Abrha H, Tsehayneh B, Massa D, Tesfay A, Kahsay H (2015) Survival Experience and its Predictors among TB/HIV Co-infected Patients in Southwest Ethiopia. Epidemiology (sunnyvale) 5: 191. Doi: 10.4172/2161-1165.1000191

Copyright: © 2015 Abrha H, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top