Objectives We aimed to assess the learning curves and the influence of the pathologist's performance on the endobronchial ultrasound transbronchial needle aspiration's (EBUS-TBNA's) diagnostic accuracy in a real-world study. Design/setting Cohort study conducted in a tertiary care university hospital (single centre) with patients referred for EBUS-TBNA. Participants/intervention We initially evaluated 376 patients (673 lymph nodes), 368 (660 lymph nodes) of whom were recruited. The inclusion criterion was EBUS-TBNA indicated for the study of mediastinal or hilar lesions. The exclusion criteria were the absence of mediastinal and hilar lesions during EBUS confirmed by a normal mediastinum and hilum on chest CT (except in cases of mediastinal staging of cancer) and lost to follow-up. Primary and secondary outcome measures Diagnostic accuracy and related outcomes. Methods We included patients from a prospectively constructed database. We performed a logistic regression multivariate analysis to adjust for potential confounders of the association between pathologist performance and EBUS-TBNA accuracy. The Cumulative Summation (CUSUM) analysis was used to assess pathologists' performance and learning curves. Results Most indications for EBUS were suspicion of malignancy, including intrathoracic tumours (68.3%), extrathoracic tumours (9.8%) and cancer staging (7.0%). The patients' mean age was 63.7 years, and 71.5% were male. Overall EBUS-TBNA accuracy was 80.8%. In the multivariate logistic regression model, the factors independently associated with EBUS-TBNA accuracy included certain pathologists (ORs ranging from 0.16 to 0.41; p<0.017), a lymph node short-axis diameter <1 cm (OR: 0.36; 95% CI 0.21 to 0.62; p<0.001), and the aetiology of lymph node enlargement (ORs ranging from 7 to 37; p<0.001). CUSUM analysis revealed four different learning curve patterns, ranging from almost immediate learning to a prolonged learning phase, as well as a pattern consistent with performance attrition. Conclusions Pathologists' proficiency conditioned EBUS-TBNA accuracy. This human factor is a potential source of error independent of factors conditioning tissue sample adequacy.

Background: Pulmonary artery enlargement (PAE) detected using chest computed tomography (CT) is associated with poor outcomes in chronic obstructive pulmonary disease (COPD). It is unknown whether nocturnal hypoxemia occurring in smokers, with or without COPD, obstructive sleep apnoea (OSA) or their overlap, may be associated with PAE assessed by chest CT. Methods: We analysed data from two prospective cohort studies that enrolled 284 smokers in lung cancer screening programs and completing baseline home sleep studies and chest CT scans. Main pulmonary artery diameter (PAD) and the ratio of the PAD to that of the aorta (PA:Ao ratio) were measured. PAE was defined as a PAD >= 29 mm in men and >= 27 mm in women or as a PA:Ao ratio > 0.9. We evaluated the association of PAE with baseline characteristics using multivariate logistic models. Results: PAE prevalence was 27% as defined by PAD measurements and 11.6% by the PA:Ao ratio. A body mass index >= 30 kg/m(2) (OR 2.01; 95%CI 1.06-3.78), lower % predicted of forced expiratory volume in one second (FEV1) (OR 1.03; 95%CI 1.02-1.05) and higher % of sleep time with O-2 saturation < 90% (T90) (OR 1.02; 95%CI 1.00-1.03), were associated with PAE as determined by PAD. However, only T90 remained significantly associated with PAE as defined by the PA:Ao ratio (OR 1.02; 95%CI 1.01-1.03). In the subset group without OSA, only T90 remains associated with PAE, whether defined by PAD measurement (OR 1.02; 95%CI 1.01-1.03) or PA:Ao ratio (OR 1.04; 95%CI 1.01-1.07). Conclusions: In smokers with or without COPD, nocturnal hypoxemia was associated with PAE independently of OSA coexistence.

Rationale: Emphysema and osteoporosis are tobacco-related diseases. Many studies have shown that emphysema is a strong and independent predictor of low bone mineral density (BMD) in smokers; however, none of them explored its association with different emphysema subtypes. Objective: To explore the association between the different emphysema subtypes and the presence of low bone mineral density in a population of active or former smokers with and without chronic obstructive pulmonary disease (COPD). Methods: One hundred and fifty-three active and former smokers from a pulmonary clinic completed clinical questionnaires, pulmonary function tests, a low-dose chest computed tomography (LDCT) and a dual-energy absorptiometry (DXA) scans. Subjects were classified as having normal BMD or low BMD (osteopenia or osteoporosis). Emphysema was classified visually for its subtype and severity. Logistic regression analysis explored the relationship between the different emphysema subtypes and the presence of low BMD adjusting for other important factors. Results: Seventy-five percent of the patients had low BMD (78 had osteopenia and 37 had osteoporosis). Emphysema was more frequent (66.1 vs 26.3%, p=<0.001) and severe in those with low BMD. Multivariable analysis adjusting for other significant cofactors (age, sex, FEVi, and severity of emphysema) showed that BMI (OR=0.91, 95% CI: 0.76-0.92) and centrilobular emphysema (OR=26.19, 95% CI: 1.71 to 399.44) were associated with low BMD...

Study objectives: To identify a link between sleep disordered breathing, nocturnal hypoxemia, and lung cancer. Methods: We conducted a cross-sectional study of a combined cohort of 302 individuals derived from the sleep apnea in lung cancer study (SAIL; NCT02764866) investigating the prevalence of sleep apnea in lung cancer, and the sleep apnea in lung cancer screening study (SAILS; NCT02764866) investigating the prevalence of sleep apnea in a lung cancer screening program. All subjects had spirometry and a chest CT, underwent home sleep apnea testing (HSAT), and completed a sleep related questionnaire. Subjects from the SAIL study underwent HSAT prior to initiating oncologic therapy or surgery. Subjects with an apnea-hypopnea index (AHI) > 15 were compared with a control group of individuals with an AHI < 15. Propensity score, near neighbor matching, and logistic regression adjusted for potential confounders, were used in order to evaluate the association between sleep apnea, the AHI, oxygen desaturation indices and lung cancer. Results: The prevalence of sleep apnea and lung cancer in the combined cohort was 42% and 21%, respectively. Lung cancer was 8% more prevalent in patients with an AHI >15. The difference was statistically significant when assessed by propensity score matching (p = 0.015) and nearest neighbor matching (p = 0.041). Binary logistic regression adjusted for potential confounders revealed a statistically significant association between AHI (p = 0.04), nocturnal hypoxemia, including time spent below 90% oxyhemoglobin saturation (T90%; p = 0.005), 3% oxygen desaturation index (ODI3; p = 0.02) and lung cancer. Conclusions: Sleep apnea and nocturnal hypoxemia are associated with an increased prevalence of lung cancer. (C) 2019 Elsevier B.V. All rights reserved.

Background: Obstructive sleep apnea (OSA) has been linked to tumorigenesis and tumor progression. Objectives: The Sleep Apnea in Lung Cancer (SAIL) study (NCT02764866) was designed to determine the prevalence of OSA in patients with lung cancer. Methods: Cross-sectional study including consecutive patients with newly diagnosed lung cancer. All patients were offered home sleep apnea testing (HSAT) and administered a sleep-specific questionnaire prior to initiating oncologic treatment. Sleep study-related variables, symptoms, and epidemiologic data as well as cancer related variables were recorded. Results: Eighty-three patients were enrolled in the SAIL study. Sixty-six completed HSAT. The mean age was 68 +/- 11 years and 58% were male with a mean body mass index of 28.1 +/- 5.4. Forty-seven percent were current smokers, 42% former smokers, and 11% never smokers with a median tobacco consumption of 51 pack-years. Fifty percent had COPD with a mean FEV1 of 83 +/- 22.6% of predicted and a mean DLCO of 85.5 +/- 20.1%. Adenocarcinoma was the most common histologic type (46.7%), followed by squamous cell (16.7%) and small cell (16.7%). Most patients were diagnosed at an advanced stage (65% in stages III-IV). The vast majority (80%) had OSA (apnea-hypopnea index [AHI] > 5), and 50% had moderate to severe OSA (AHI > 15) with a mean Epworth Sleepiness Score of 7.43 +/- 3.85. Significant nocturnal hypoxemia was common (Median T90: 10.9% interquartile range 2.4-42.2). Conclusions: Sleep apnea and nocturnal hypoxemia are highly prevalent in patients with lung cancer. (C) 2018 S. Karger AG, Basel

Objective: Obstructive sleep apnea (OSA) can influence the appearance and proliferation of some tumors. The Sleep Apnea In Lung Cancer Screening (SAILS) study (NCT02764866) evaluated the prevalence of OSA and nocturnal hypoxemia in a high-risk population enrolled in a lung cancer screening program. Methods: This was a prospective study of the prevalence of OSA in a lung cancer screening program. Subjects met the National Lung Screening Trial (NLST) age and smoking criteria (age 55-75 years; pack-years >30). Participants in the study were offered annual screening with low-dose computed tomography (LDCT) and pulmonary function testing, as well as home sleep apnea testing (HSAT) and a sleep-specific questionnaire. Sleep study - related variables, symptoms, and epidemiologic data were recorded. Results: HSAT was offered to 279 subjects enrolled in our lung cancer screening program. HSAT results were available for 236 participants (mean age 63.6 years; mean tobacco exposure: 45 pack-years), of whom 59% were male and 53% were active smokers. Emphysema (74%) and chronic obstructive pulmonary disease (COPD) (62%) were common and in most cases mild in severity. OSA, including moderate to severe disease, was very common in this patient population. AHI distributions were as follows: AHI <5 (22.5%); 5-15 (36.4%); 15-30 (23.3%); and >30 (17.8%). Nocturnal hypoxemia (T90) (p = 0.003), diffusing capacity for carbon monoxide (DLCO) (p = 0.01), tobacco exposure (p = 0.024), and COPD (p = 0.023) were associated with OSA severity. Positive screening findings (nodules >= 6 mm) were associated with nocturnal hypoxemia on multivariate analysis adjusted for confounders (OR = 2.6, 95% CI = 1.12-6.09, p = 0.027). Conclusion: Moderate to severe OSA is very prevalent in patients enrolled in a lung cancer screening program. Nocturnal hypoxemia more than doubles the risk of positive screening findings. (c) 2018 Elsevier B.V. All rights reserved.

BACKGROUND: Smoking is a recognized risk factor for osteoporosis. Trabecular bone score (TBS) is a novel texture parameter to evaluate bone microarchitecture. TBS and their main determinants are unknown in active and former smokers. OBJECTIVE: To assess TBS in a population of active or former smokers with and without Chronic Obstructive Pulmonary Disease (COPD) and to determine its predictive factors. METHODS: Active and former smokers from a pulmonary clinic were invited to participate. Clinical features were recorded and bone turnover markers (BTMs) measured. Lung function, low dose chest Computed Tomography scans (LDCT), dual energy absorptiometry (DXA) scans were performed and TBS measured. Logistic regression analysis explored the relationship between measured parameters and TBS. RESULTS: One hundred and forty five patients were included in the analysis, 97 (67.8%) with COPD. TBS was lower in COPD patients (median 1.323; IQR: 0.13 vs 1.48; IQR: 0.16, p = 0.003). Regression analysis showed that a higher body mass index (BMI), younger age, less number of exacerbations and a higher forced expiratory volume-one second (FEV1%) was associated with better TBS (ß = 0.005, 95% CI:0.000-0.011, p = 0.032; ß = -0.003, 95% CI:-0.007(-)-0.000, p = 0.008; ß = -0.019, 95% CI:-0.034(-)-0.004, p = 0.015; ß = 0.001, 95% CI:0.000-0.002, p = 0.012 respectively). The same factors with similar results were found in COPD patients.