Smoking cessation in tuberculosis patients and the risk of tuberculosis infection in child household contacts

Who Transmits Tuberculosis to Whom: A Cross-Sectional Analysis of a Cohort Study in Lima, Peru

Rationale: The persistent burden of tuberculosis (TB) disease emphasizes the need to identify individuals with TB for treatment and those at a high risk of incident TB for prevention. Targeting interventions toward those at high risk of developing and transmitting TB is a public health priority. Objectives: We aimed to identify characteristics of individuals involved in TB transmission in a community setting, which may guide the prioritization of targeted interventions. Methods: We collected clinical and sociodemographic data from a cohort of patients with TB in Lima, Peru. We used whole-genome sequencing data to assess the genetic distance between all possible pairs of patients; we considered pairs to be the result of a direct transmission event if they differed by three or fewer SNPs, and we assumed that the first diagnosed patient in a pair was the transmitter and the second was the recipient. We used logistic regression to examine the association between host factors and the likelihood of direct TB transmission. Measurements and Main Results: Analyzing data from 2,518 index patients with TB, we identified 1,447 direct transmission pairs. Regardless of recipient attributes, individuals less than 34 years old, males, and those with a history of incarceration had a higher likelihood of being transmitters in direct transmission pairs. Direct transmission was more likely when both patients were drinkers or smokers. Conclusions: This study identifies men, young adults, former prisoners, alcohol consumers, and smokers as priority groups for targeted interventions. Innovative strategies are needed to extend TB screening to social groups such as young adults and prisoners with limited access to routine preventive care.

Global, regional, and national mortality of tuberculosis attributable to alcohol and tobacco from 1990 to 2019: A modelling study based on the Global Burden of Disease study 2019

Background

Tuberculosis (TB) is expected to become the second leading single cause of death with several risk factors, but the related disease burden is currently unknown. We aimed to analyse the pre-coronavirus disease 2019 (COVID-19) changes in mortality of TB attributable to alcohol and tobacco worldwide from 1990 to 2019.

Methods

We obtained data of TB deaths and age-standardised death rates attributed to alcohol and cigarette in 204 countries and territories from the Global Burden of Disease 2019 public database. We performed a spatial-temporal analysis of age-standardised death rate and the average annual per cent change (AAPC), after which we analysed the effects of gender and socio-demographic index on age-standardised death rate using an age-period-cohort model. Finally, we built machine learning models to predict the TB age-standardised death rate in 2035.

Results

We found that the global age-standardised death rate of TB attributable to alcohol consumption declined from 5.35 (95% uncertainty interval (UI) = 3.51, 7.00) in 1990 to 2.54 (95% UI = 1.65, 3.33) in 2019, with significant declines in Andean Latin America (AAPC = -7.59; 95% confidence interval (CI) = -8, -7.16, P < 0.05), East Asia (AAPC = -7.32; 95% CI = -8.00, -6.62, P < 0.05), and Central Latin America (AAPC = -7.31; 95% CI = -7.63, -6.99, P < 0.05). However, there was an increase in a few regions, especially in parts of Central Asia. The age-standardised death rate for TB attributable to cigarette smoking declined more rapidly than that for TB attributable to alcohol, from 7.45 (95% UI = 6.17, 8.72) to 2.21 (95% UI = 1.78, 2.64), especially in East Asia (AAPC = -6.64; 95% CI = -7.07, -6.2, P < 0.05), North Africa and Middle East (AAPC = -6.47; 95% CI = -6.67, -6.28, P < 0.05), and Andean Latin America (AAPC = -6.31; 95% CI = -6.87, -5.75, P < 0.05). However, TB attributable to cigarette smoking increased in parts of Eastern Europe. In both TB attributable to alcohol consumption and to cigarette smoking, the age-standardised death rate was much higher in men than in women. The age-period-cohort model results showed that TB attributable to alcohol consumption was the highest in older adults aged 60-80 years, while TB attributable to cigarette smoking was the highest in adults aged 40-60 years. Machine learning models projected that by 2035, the age-standardised death rate for TB attributable to alcohol consumption would be 1.29 (per 100 000 population), while the age-standardised death rate for TB attributable to cigarette consumption would be 0.37 (per 100 000 population), which might not achieve the 2035 global target for eliminating TB.

Conclusions

Globally, the age-standardised death rate for TB attributable to alcohol consumption declined slower than that attributable to cigarette smoking. Controlling these two factors would help achieve the global goal of TB elimination, especially for the elderly who are at high risk.

Analysis of Clinical Characteristics and Risk Factors for Drug Resistance in Newly-Treated Patients with Pulmonary Tuberculosis Complicated with Chronic Obstructive Pulmonary Disease

Objective

To analyze the clinical characteristics and risk factors of drug resistance of newly-treated chronic obstructive pulmonary disease (COPD) complicated pulmonary tuberculosis (PTB).

Methods

A total of 489 newly-treated PTB patients admitted to Beijing Geriatric hospital were retrospectively enrolled in this study. Of these, 138 patients with COPD were allocated to the study group, and the remaining 351 patients without COPD were allocated to the control group. The baseline information, clinical characteristics of PTB and drug resistance of Mycobacterium tuberculosis were compared between the two groups. Logistic regression was used to explore the correlation between drug resistance and COPD complications.

Results

Patients complicated with COPD had a higher proportion of respiratory failure, cough, fever and night sweats, chest short breath, and emaciation between the study group and the control group (P<0.05). In terms of medical history, patients complicated with COPD also had a higher proportion of childhood TB history, cough, tuberculosis exposure rate, dust exposure rate, and malnutrition (P<0.05). There were significantly more patients with pulmonary cavities and a delayed diagnosis of TB in the study group than in the control group (P<0.05). The single drug resistance rates of isoniazid, ethambutol, rifampicin, pyrazinamide, and rifapentine, and drug resistance with any two or more drugs in the study group were significantly higher than those in the control group (P<0.05). Multivariate Logistic regression analysis showed that smoking, extrapulmonary tuberculosis, tuberculosis exposure history, malnutrition, pulmonary cavity, and delayed TB diagnosis were risk factors for drug resistance in newly-treated COPD complicated PTB patients.

Conclusion

The symptoms of COPD complicated PTB were more serious. Smoking history, extrapulmonary tuberculosis, tuberculosis exposure history, malnutrition, pulmonary cavity, and delayed diagnosis of tuberculosis were risk factors for TB resistance in these patients.