Long-Term Mortality of Tuberculosis Survivors in Korea: A Population-based Longitudinal Study

초록

Background When assessing long-term tuberculosis (TB) mortality, few studies addressed the impact of behavior habits and socioeconomic status. Therefore, we aimed to evaluate long-term TB mortality and risk factors while accounting for potential confounders. Methods This cohort study included TB survivors (n = 82 098) aged >= 20 years between 2010 and 2017, and 1:1 age- and sex-matched controls (n = 82 098). The participants were followed up for death 1 year after study enrollment until December 2018. Long-term mortality was adjusted for behavior habits (smoking, alcohol consumption, or exercise), income level, body mass index (BMI), and comorbidities. Results During a median of 3.7 years of follow-up, the incidence rate of mortality was significantly higher in TB survivors than those in the matched controls (18.2 vs. 8.8 per 1000 person-years, P < .001). Even after adjusting for potential confounders, the mortality risk was 1.62-fold (95% confidence interval [CI], 1.54-1.70) higher in TB survivors than those in the matched controls. In addition, the hazard of mortality in TB survivors relative to matched controls significantly increased in participants aged >= 30 years, with the highest risk in those in their 40s. Male sex (adjusted hazard ratio [HR]: 2.31; 95% CI, 2.16-2.47), smoking pack-years (HR: 1.005; 95% CI, 1.004-1.006), heavy alcohol consumption (HR: 1.12; 95% CI, 1.01-1.23), and lowest income (HR: 1.27; 95% CI, 1.18-1.37) were positively associated with increased hazards for mortality, whereas higher BMI (HR: 0.91; 95% CI, .90-.92) and regular exercise (HR: 0.82; 95% CI, .76-.88) reduced the hazards of long-term mortality in TB survivors. Conclusions The long-term mortality risk was significantly higher in TB survivors than those in the matched controls, even after adjusting for potential confounders. The long-term mortality risk in this study was significantly higher in tuberculosis survivors than those in the matched controls, even after adjusting for potential confounders, including behavior habits, income level, body mass index, and comorbidities.

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