Objective: To evaluate the trends in smoking prevalence in all Brazilian capitals between 2006 and 2017. Methods: This was a study of temporal trends in smoking, based on information from the Telephone-based System for the Surveillance of Risk and Protective Factors for Chronic Diseases. The trends in smoking prevalence were stratified by gender, age, level of education, and capital of residence. We used linear regression analysis with a significance level of 5%. Results: From 2006 to 2017, the overall prevalence of smoking in the Brazilian capitals declined from 19.3% to 13.2% among men and from 12.4% to 7.5% among women (p < 0.05 for both). Despite the overall decline in the prevalence of smoking in all of the capitals, the rate of decline was lower in the more recent years. There was also a reduction in the prevalence of former smoking (22.2% in 2006 to 20.3% in 2017). In contrast, there was an upward trend in the prevalence of former smoking among individuals with a lower level of education (from 27.9% in 2006 to 30.0% in 2017). In 2017, the prevalence of smoking among men was highest in the cities of Curitiba, São Paulo, and Porto Alegre, whereas it was highest among women in the cities of Curitiba, São Paulo, and Florianópolis. Conclusions: There have been improvements in smoking prevalence in Brazil. Annual monitoring of smoking prevalence can assist in the battle against chronic noncommunicable diseases.

Keywords: Smoking; Tobacco use disorder; Health surveys.

Objective: To analyze the rate at which lungs available for transplantation in the state of São Paulo in 2006 were utilized and to determine the lung donor profile in the same period. Methods: A retrospective study of 497 clinical charts of lung tissue donors from January to December of 2006. Results: According to the clinical charts, lungs were not offered for transplant in 149 cases (30%), which were therefore excluded from the study. Among the 348 lung donors eligible for inclusion in the study, the mean age was 37.4 ± 16.1 years, and 56.9% were males. The main causes of brain death among the donors were stroke (in 40.5%), skull-brain trauma (in 34.2%) and subarachnoid hemorrhage (in 10.9%). The great majority of these lung donors (90.5%) received vasoactive agents, and 13.5% presented cardiopulmonary arrest. The mean donor leukocyte count was 15,008 ± 6,467 cells/mm3, 67.8% of the donors received anti-bacterial agents, and 26.1% presented lung infection. Nearly 40% of the lung donors presented chest X-ray abnormalities. Only 4.9% of the lung donors were accepted, representing 28 lungs (allograft utilization rate of 4%). The causes for donor exclusion were gas exchange alterations (in 30.1%), infection (in 23.7%) and distance (in 10.9%). Conclusions: The lung utilization rate in the state of São Paulo is low when compared to mean rates worldwide. In addition, more than half of the donor pool was excluded due to altered gas exchange or pulmonary infection. The combination of better care of the potential donor and more flexible selection criteria could increase allograft utilization.

Keywords: Lung transplantation; Donor selection; Tissue donors.

Objective: To evaluate clinical, tomographic, and microbiological characteristics of pulmonary disease caused by M. kansasii (MKPD) in patients treated at an outpatient unit from 2006-2016. Methods: We studied thirty eight patients, and analyzed socio demographic, clinical-radiological, laboratory, and therapeutic characteristics. Results: The mean age was 64 years (SD = 10.6; IIQ = 57-72; median = 65.0), and 22 (57.9%) male patients. Pulmonary comorbidity was present in 89.5% of the patients. The most frequent comorbidity was bronchiectasis (78.9%). Previous treatment for pulmonary tuberculosis (PTB) was found in 65.9%. The most used therapeutic regimen was rifampicin, isoniazid and ethambutol (44.7%). Chest tomography (CT) showed bronchiectasis (94.1%), architectural distortion (76.5%), septum thickening (67.6%), and cavities (64.7%). Disease was bilateral in 85.2%. We observed 10.7% resistance to rifampicin, 67.9% resistance to ethambutol, and sensitivity to clarithromycin. Conclusion: In patients with structural lung disease, it is important to search for NTM, the main differential diagnosis with PTB. Chest CT showed different patterns that overlapped with structural disease caused by PTB or other lung diseases. We observed resistance to ethambutol, a drug component of the recommended regimen.

Keywords: Nontuberculous mycobacteria; Mycobacterium kansasii; Epidemiology; Treatment.