TB Research

Incidence and predictors of death among adult patients treated for tuberculosis in two regions of Cameroon: 2010 to 2015

Adamou Dodo Balkissou, E.W. Pefura-Yone, Virginie Poka, Alain Kuaban, Djibril Mohammadou Mubarak, Armel Djao Kora, Fadil Donkou Raouph, Josiane Touoyem Lonla, et al. (10 authors)

Journal of the Pan African Thoracic Society · 2022-01

Abstract

Objectives: Mortality during tuberculosis (TB) remains high in Africa. The purpose of our study was to determine the incidence and predictors of death during TB treatment in Cameroon. Materials and Methods: Data of subjects aged ≥15 years were retrospectively extracted from registers in all TB diagnostic and treatment centers in the Western and Northern regions of Cameroon from 2010 to 2015. Cox regression models were used to determine predictors of death during TB treatment. Results: Of the 19,681 patients included, 12,541 (63.7%) were male and their median age (25 th -75 th percentile) was 34 (26–45) years. The cumulative incidence (95% confidence interval [CI]) of death during TB treatment was 8.0% (7.5–8.5%). The predictors (hazard ratios [95% CI]) of death were: Age >34 years (1.479 [1.295–1.688], P < 0.001), female sex (1.471 [1.286–1.683], P < 0.001), extra-pulmonary TB (1.723 [1.466–2.026], P < 0.001), human immunodeficiency virus infection (3.739 [3.269–4.276], P < 001]), TB treatment in the Western region (2.241 [1.815–2.768], P < 0.001), treatment before 2012 (1.215 [1.073–1.376], P = 0.002)and low body weight (1 st quartile and 2 nd quartile) (2.568 [2.133–3.092], [ P < 0.001]) and (1.569 [1.298–1.896], P < 0.001) respectively. Conclusion: The incidence of death during TB was relatively high in the Western and Northern regions of Cameroon. Recognition of these persons at greatest risk may improve care and reduce death durinng TB treatment.

MeSH terms

  • Medicine
  • Incidence (geometry)
  • Hazard ratio
  • Confidence interval
  • Quartile
  • Tuberculosis
  • Internal medicine
  • Cumulative incidence
  • Cause of death
  • Proportional hazards model