Cumulative occupational exposure to gases and fumes is associated with impairment in lung function and disease-related quality of life in a German COPD patient cohort.

OBJECTIVES: The impact of occupational exposures on lung function impairments and quality of life (QoL) in patients with chronic obstructive pulmonary disease (COPD) was analysed and compared with that of smoking. METHODS: Data from 1283 men and 759 women (Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 1-4 or former grade 0, without alpha-1-antitrypsin deficiency) of the COPD and Systemic Consequences Comorbidities Network cohort were analysed. Cumulative exposure to gases/fumes, biological dust, mineral dust or the combination vapours/gases/dusts/fumes was assessed using the ALOHA job exposure matrix. The effect of both occupational and smoking exposure on lung function and disease-specific QoL (St George's Respiratory Questionnaire) was analysed using linear regression analysis adjusting for age, body mass index, diabetes, hypertension and coronary artery disease, stratified by sex. RESULTS: In men, exposure to gases/fumes showed the strongest effects among occupational exposures, being significantly associated with all lung function parameters and QoL; the effects were partially stronger than of smoking. Smoking had a larger effect than occupational exposure on lung diffusing capacity (transfer factor for carbon monoxide) but not on air trapping (residual volume/total lung capacity). In women, occupational exposures were not significantly associated with QoL or lung function, while the relationships between lung function parameters and smoking were comparable to men. CONCLUSIONS: In patients with COPD, cumulative occupational exposure, particularly to gases/fumes, showed effects on airway obstruction, air trapping, gas uptake capacity and disease-related QoL, some of which were larger than those of smoking. These findings suggest that lung air trapping and QoL should be considered as outcomes of occupational exposure to gases and fumes in patients with COPD. TRIAL REGISTRATION NUMBER: NCT01245933.

The Benefit of Baseline Staging-Risk Assessment of Distant Breast Cancer Metastases by Tumor Stage.

BACKGROUND: Despite recommendations of international societies, use of baseline staging in breast cancer varies considerably. We retrospectively analyzed the prevalence of metastases in each pTN stage to estimate the benefit of staging. PATIENTS AND METHODS: The prevalence of metastases at primary diagnosis (M1) and in the first year after diagnosis (M112) was determined in 2,906 patients. RESULTS: The prevalence of M1 was 0.95% [95% confidence interval (CI)=0.53-1.70%] in pT1pN0, 2.17% (95% CI=1.00-4.64) in pT1pN1 and 1.53% (95% CI=0.78-2.99%) in pT2pN0. The prevalence of M112 was 2.17% (95% CI=1.47-3.18%) in pT1pN0 and 3.25% in pathological stage IIA (upper confidence bound 5.14%). In pT2pN1 the prevalence of M1 and M112 was 3.49% (95% CI=1.96-6.14%) and 6.35% (95% CI=4.15-9.60%), respectively. Results for stage pT3pN0 and higher were inconclusive. CONCLUSION: Baseline staging can be safely abandoned in pathological stage I and IIA. Individual decisions should be made for pT2pN1. Staging is recommended in stages of pT3pN0 or higher.

The German COPD cohort COSYCONET: Aims, methods and descriptive analysis of the study population at baseline.

BACKGROUND: The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. METHODS: Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. RESULTS: Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. CONCLUSION: The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.