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Tuberculosis Research and Treatment
Volume 2014, Article ID 536976, 11 pages
http://dx.doi.org/10.1155/2014/536976
Research Article

Application of Cox Proportional Hazards Model in Case of Tuberculosis Patients in Selected Addis Ababa Health Centres, Ethiopia

Addis Ababa University, Addis Ababa, Ethiopia

Received 17 October 2013; Revised 28 November 2013; Accepted 5 December 2013; Published 12 January 2014

Academic Editor: Brian Eley

Copyright © 2014 Kabtamu Tolosie and M. K. Sharma. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Introduction. Tuberculosis (TB) is a chronic infectious disease and mainly caused by mycobacterium tuberculosis (MTB). It has been one of the major causes of mortality in Ethiopia. The objective of the study was to identify factors that affect the survival of the patients with tuberculosis who started treatment for tuberculosis. Methods. This was a retrospective study in six randomly selected health centres in Addis Ababa, Ethiopia. The data were obtained from medical records of TB patients registered from September 2012 to August 2013 and treated under directly observed treatment surgery (DOTS) strategy. Kaplan Meier plots, logrank tests, and Wilcoxon tests were used to assess the survival pattern. Cox proportional hazards model for multivariable analysis was discussed. Results. Out of the total 826 registered TB patients, 105 (12.71%) died during the study period and 712 (87.29%) were censored. Based on Kaplan Meier survival curves, logrank test, and Wilcoxon test, it was found that the patients had statistically significant differences in survival experience with respect to age, body weight at initiation of treatment, TB patient category, and HIV status. Multivariable Cox hazards regression analysis revealed that the covariates age, TB patient category, HIV, and age by HIV interaction were significant risk factors associated with death status in TB patients. Conclusion. Deaths of individuals with diseases especially HIV coinfected and nonnew TB cases were high. Therefore, this needs to strengthen the follow-up of patients with TB treatment from the day of anti-TB treatment initiation to completion days.