Table 2

HRs and 95% CIs for predictors of antituberculosis treatment discontinuation from Cox regression analysis

CharacteristicsBasic modelsFinal models
HR (95% CI)p ValueHR (95% CI)p Value
Age (per year)1.01 (1.00 to 1.01)0.1211.01 (1.00 to 1.01)0.133
Sex (women vs men)0.96 (0.77 to 1.20)0.7230.99 (0.79 to 1.23)0.922
Hospitalised intensive phase0.58 (0.46 to 0.72)<0.00010.69 (0.54 to 0.89)0.004
Residence (urban vs rural)0.92 (0.67 to 1.26)0.596
Clinical form of tuberculosis
 Positive smear (reference)1.00 (reference)1.00 (reference)
 Negative smear1.59 (1.15 to 2.21)0.0051.25 (0.89 to 1.76)0.192
 Extra-pulmonary0.99 (0.73 to 1.34)0.9480.96 (0.71 to 1.30)0.780
Unknown status for HIV1.28 (1.17 to 1.41)<0.00011.65 (1.24 to 2.21)0.0007
  • Basic models are adjusted for age and sex, and final models are further adjusted for all significant predictors in the basic models.

  • All Cox models are stratified by type of patient (ie, new patient, retreatment) to account for differences in the duration of treatment.