Type-2 severe asthma comorbidities in the era of biologics: time to rethink clinical response?

INTRODUCTION: The use of monoclonal antibodies in patients with severe asthma has led clinicians to explore new levels of clinical improvement, as testified by the growing interest on clinical remission achievement. In this context, a major role is played by asthma-related comorbidities, which can influence asthma pathophysiology and treatment response. AREAS COVERED: In this special report, we highlighted how asthma-related comorbidities could deeply affect monoclonal antibody response as well as clinical remission achievement. As examples, we provided data from clinical trials and real-life experiences involving patients with severe asthma and chronic rhinosinusitis with nasal polyps (CRSwNP), eosinophilic granulomatosis with polyangiitis (EGPA) or bronchiectasis. EXPERT OPINION: Comorbidities associated with severe asthma development should be carefully assessed in everyday clinical practice, even with the help of new diagnostic technologies, artificial intelligence and multidisciplinary teams. Future studies should address the role of comorbidities in remission achievement, describing how these diseases could generate new trajectories of clinical and functional response in patient treated with monoclonal antibodies.

The Role of Galectins in Asthma Pathophysiology: A Comprehensive Review.

Galectins are a group of ß-galactoside-binding proteins with several roles in immune response, cellular adhesion, and inflammation development. Current evidence suggest that these proteins could play a crucial role in many respiratory diseases such as pulmonary fibrosis, lung cancer, and respiratory infections. From this standpoint, an increasing body of evidence have recognized galectins as potential biomarkers involved in several aspects of asthma pathophysiology. Among them, galectin-3 (Gal-3), galectin-9 (Gal-9), and galectin-10 (Gal-10) are the most extensively studied in human and animal asthma models. These galectins can affect T helper 2 (Th2) and non-Th2 inflammation, mucus production, airway responsiveness, and bronchial remodeling. Nevertheless, while higher Gal-3 and Gal-9 concentrations are associated with a stronger degree of Th-2 phlogosis, Gal-10, which forms Charcot-Leyden Crystals (CLCs), correlates with sputum eosinophilic count, interleukin-5 (IL-5) production, and immunoglobulin E (IgE) secretion. Finally, several galectins have shown potential in clinical response monitoring after inhaled corticosteroids (ICS) and biologic therapies, confirming their potential role as reliable biomarkers in patients with asthma.

Exhaled volatile organic compounds for diagnosis and monitoring of asthma.

The asthmatic inflammatory process results in the generation of volatile organic compounds (VOCs), which are subsequently secreted by the airways. The study of these elements through gas chromatography-mass spectrometry (GC-MS), which can identify individual molecules with a discriminatory capacity of over 85%, and electronic-Nose (e-NOSE), which is able to perform a quick onboard pattern-recognition analysis of VOCs, has allowed new prospects for non-invasive analysis of the disease in an "omics" approach. In this review, we aim to collect and compare the progress made in VOCs analysis using the two methods and their instrumental characteristics. Studies have described the potential of GC-MS and e-NOSE in a multitude of relevant aspects of the disease in both children and adults, as well as differential diagnosis between asthma and other conditions such as wheezing, cystic fibrosis, COPD, allergic rhinitis and last but not least, the accuracy of these methods compared to other diagnostic tools such as lung function, FeNO and eosinophil count. Due to significant limitations of both methods, it is still necessary to improve and standardize techniques. Currently, e-NOSE appears to be the most promising aid in clinical practice, whereas GC-MS, as the gold standard for the structural analysis of molecules, remains an essential tool in terms of research for further studies on the pathophysiologic pathways of the asthmatic inflammatory process. In conclusion, the study of VOCs through GC-MS and e-NOSE appears to hold promise for the non-invasive diagnosis, assessment, and monitoring of asthma, as well as for further research studies on the disease.

Effect of Food Intake on Exhaled Volatile Organic Compounds Profile Analyzed by an Electronic Nose.

Exhaled breath analysis using an e-nose is a groundbreaking tool for exhaled volatile organic compound (VOC) analysis, which has already shown its applicability in several respiratory and systemic diseases. It is still unclear whether food intake can be considered a confounder when analyzing the VOC-profile. We aimed to assess whether an e-nose can discriminate exhaled breath before and after predefined food intake at different time periods. We enrolled 28 healthy non-smoking adults and collected their exhaled breath as follows: (a) before food intake, (b) within 5 min after food consumption, (c) within 1 h after eating, and (d) within 2 h after eating. Exhaled breath was collected by a formerly validated method and analyzed by an e-nose (Cyranose 320). By principal component analysis, significant variations in the exhaled VOC-profile were shown for principal component 1 (capturing 63.4% of total variance) when comparing baseline vs. 5 min and vs. 1 h after food intake (both p < 0.05). No significance was shown in the comparison between baseline and 2 h after food intake. Therefore, the exhaled VOC-profile seems to be influenced by very recent food intake. Interestingly, two hours might be sufficient to avoid food induced alterations of exhaled VOC-spectrum when sampling for research protocols.

Severe asthma clinical remission after biologic treatment with anti-IL4/IL13: A real-life experience.

INTRODUCTION: Dupilumab, a fully human anti-interleukin-4/interleukin-13 monoclonal antibody, has shown efficacy in many aspects of Type-2 severe asthma management. Currently, we lack real-life studies addressing the achievment of clinical remission in patients treated with this biologic. MATERIALS AND METHODS: We performed a prospective study enrolling 18 patients with severe asthma treated with Dupilumab. We assessed main clinical, functional and biological severe asthma features at baseline (T0) and after a 1-year course of treatment (T12). Clinical remission was defined at T12 in patients without asthma exacerbations, no oral corticosteroid (OCS) use, ACT ≥ 20 and FEV1 improvement ≥ 100 ml from baseline. RESULTS: Among total population, 38.9% of patients achieved clinical remission at T12. Anti IL-4/IL-13 treatment significantly reduced asthma exacerbations and OCS use in the overall cohort, with a more pronounced ACT improvement in the remission group. Patients achieving clinical remission went through a step down of the inhalation therapy, suspending long-acting anti-muscarinics administration at T12. CONCLUSIONS: Treatment with anti-IL4/IL13 can induce clinical remission in patients with T2 severe asthma.

Effects of benralizumab in a population of patients affected by severe eosinophilic asthma and chronic rhinosinusitis with nasal polyps: a real life study.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a frequent comorbidity in severe eosinophilic asthma (SEA), which may contribute to the loss of asthma control. CRSwNP and SEA share a T2-mediated mechanism and the use of some anti-asthma monoclonal antibodies has recently been extended to CRSwNP. Unlike dupilumab and omalizumab, benralizumab approval for CRSwNP is ongoing. We aimed to evaluate the efficacy of benralizumab efficacy on SEA and on CRSwNP in patients affected by both pathologies in a real life setting. METHODS: 17 patients affected by both SEA and CRSwNP participated to our study. At baseline (T0) and at one year after benralizumab initiation (T1), all participants underwent  spirometry, exhaled nitric oxide (FeNO), Asthma Control Test (ACT), nasal endoscopy with Nasal Polyp Score (NPS), nasal cytology and Sino-Nasal Outcome Test 22 (SNOT 22).The continuous oral corticosteroid therapy (OCS), the number of year exacerbations and the need for sinus surgery were also evaluated  for each patient. RESULTS: At T1, a marked reduction of SNOT-22, NPS, nasal eosinophils and neutrophils count were shown compared to T0. Moreover, at T1 ACT was significantly increased and FeNO, exacerbations/year and mean OCS dosage were significantly reduced compared to T0. CONCLUSIONS: Our real-life study demonstrates the efficacy of benralizumab not only on SEA but also on nasal cytology and on nasal polyposis, confirming that patients affected by both SEA and CRSwNP may receive a considerable benefit from anti-IL5 receptor, treating both the comorbidities at once.

The Role of a Polymer-Based E-Nose in the Detection of Head and Neck Cancer from Exhaled Breath.

The aim of our study was to assess whether a polymer-based e-nose can distinguish head and neck cancer subjects from healthy controls, as well as from patients with allergic rhinitis. A total number of 45 subjects participated in this study. The first group was composed of 15 patients with histology confirmed diagnosis of head and neck cancer. The second group was made up of 15 patients with diagnoses of allergic rhinitis. The control group consisted of 15 subjects with a negative history of upper airways and/or chest symptoms. Exhaled breath was collected from all participants and sampled by a polymer-based e-nose (Cyranose 320, Sensigent, Pasadena, CA, USA). In the Principal Component Analysis plot, patients with head and neck cancer clustered distinctly from the controls as well as from patients with allergic rhinitis. Using canonical discriminant analysis, the three groups were discriminated, with a cross validated accuracy% of 75.1, p < 0.01. The area under the curve of the receiver operating characteristic curve for the discrimination between head and neck cancer patients and the other groups was 0.87. To conclude, e-nose technology has the potential for application in the diagnosis of head and neck cancer, being an easy, quick, non-invasive and cost-effective tool.

Can Leukotriene Receptor Antagonist Therapy Improve the Control of Patients with Severe Asthma on Biological Therapy and Coexisting Bronchiectasis? A Pilot Study.

INTRODUCTION: Asthma and bronchiectasis appear to be two related diseases and in their complex inflammatory interaction, the cysteinyl leukotriene/cysteinyl leukotriene receptor 1 (cysLT/cysLTR1) axis appears to play an important role given its involvement also in the neutrophilic pathway. To our knowledge, few studies have been conducted so far to evaluate the role of the leukotriene cysLT/cysLTr1 axis in the management of clinical and inflammatory outcomes within a population of patients with severe asthma and bronchiectasis. The aim of our study was to verify in this population the effect of leukotriene receptor antagonist (LTRA) therapy in clinical and inflammatory control before and after 6 months of introduction of biologic therapy. METHODS: We retrospectively enrolled, from eight different severe asthma centers' outpatients, 36 atopic patients with the simultaneous presence of non-cystic fibrosis (non-CF) and non-allergic bronchopulmonary aspergillosis (non-ABPA) bronchiectasis and severe asthma. The first biological injection was performed at baseline (T0 time). Patients who were already taking LTRA therapy at time T0 were recorded, and no new prescriptions were made. We observed our population over a 6-month period (T1 time). At the baseline we collected the following data: baseline characteristics, clinical history, high resolution computed tomography and bronchiectasis-related parameters and skin prick test. At both times T0 and T1 we collected the following data: asthma control test (ACT), asthma control questionnaire (ACQ), immunoglobulin E (IgE) level, blood count, fractional exhaled nitric oxide 50 (FeNO 50) and flow-volume spirometry. The study was retrospectively registered. RESULTS: Our population had a mean age of 59.08 ± 11.09 and 50% were female. At T1, patients on LTRA therapy had a significantly lower FeNO value (33.03 ± 23.61 vs. 88.92 ± 77.96; p = 0.012). We assessed that the value of ΔFeNO (FeNO 50 T1 - FeNO 50 T0) and the number of unplanned specialist visits allowed a discrimination of 66.7% in the presence of LTRA therapy. We also verified how low FeNO values at time T1 were statistically significant predictors of LTRA therapy (ODD = 9.96 (0.94-0.99); p = 0.032). CONCLUSION: The presence of LTRA in therapy in a population of severe asthmatics with coexisting non-ASBPA bronchiectasis and non-cystic fibrosis, acting simultaneously on the T helper type 2 (TH2) pathway and probably on the neutrophilic component of bronchiectasis, would allow a further amplification of the beneficial effects of biological therapy, leading to a reduction in the number of unplanned visits to specialists.

Short-Term Effect of Cigarette Smoke on Exhaled Volatile Organic Compounds Profile Analyzed by an Electronic Nose.

Breath analysis using an electronic nose (e-nose) is an innovative tool for exhaled volatile organic compound (VOC) analysis, which has shown potential in several respiratory and systemic diseases. It is still unclear whether cigarette smoking can be considered a confounder when analyzing the VOC-profile. We aimed to assess whether an e-nose can discriminate exhaled breath before and after smoking at different time periods. We enrolled 24 healthy smokers and collected their exhaled breath as follows: (a) before smoking, (b) within 5 min after smoking, (c) within 30 min after smoking, and (d) within 60 min after smoking. Exhaled breath was collected by a previously validated method and analyzed by an e-nose (Cyranose 320). By principal component analysis, significant variations in the exhaled VOC profile were shown for principal component 1 and 2 before and after smoking. Significance was higher 30 and 60 min after smoking than 5 min after (p < 0.01 and <0.05, respectively). Canonical discriminant analysis confirmed the above findings (cross-validated values: baseline vs. 5 min = 64.6%, AUC = 0.833; baseline vs. 30 min = 83.6%, AUC = 0.927; baseline vs. 60 min = 89.6%, AUC = 0.933). Thus, the exhaled VOC profile is influenced by very recent smoking. Interestingly, the effect seems to be more closely linked to post-cigarette inflammation than the tobacco-related odorants.

S-Adenosylmethionine May Mitigate Obstructive Sleep Apnea in an Adult with Down Syndrome: A Case Report.

Obstructive sleep apnea (OSA) is common in individuals with Down syndrome (DS). These patients are characterized by reduced levels of S-adenosylmethionine (SAMe) due to a depression of mitochondrial methylation capacity, and its implementation may improve cognitive performance. Based on the above, it is likely a beneficial effect in the treatment with SAMe also on the quality of the sleep. We report the case of an adult male with DS who received benefit of SAMe administration during OSA treatment with CPAP. We observed a significant improvement of apnea/hypopnea index (AHI), which has never been previously reported in Down individuals. AHI dropped from 51.2 to 17.2 from 0 to 49 months.

Relationships between Obstructive Sleep Apnea Syndrome and cardiovascular risk in a naïve population of southern Italy.

BACKGROUND: Obstructive sleep apnea (OSA) is a worldwide increasing syndrome, which, by promoting endothelial dysfunction, contributes to extend the cardiovascular risk. We evaluated the cardiovascular risk in a group of OSA patients. METHODS: A total of 185 OSA subjects (19 normal weight, 57 overweight, 109 obese), who entered the Ambulatory of Sleep Disorders of the Institute of Respiratory Diseases of the University of Bari, during 1 year, were enrolled in the study. We assessed anthropometric features, polysomnographic findings, cardiovascular risk factors, smoking habit, Pulmonary Function Test, Arterial Blood Gas Analysis, Epworth Questionnaire, and Charlson Co-morbidities Index (CCI). Subjects were divided into three groups, according to their BMI: individuals with BMI ≥30 kg/m2 (Group 1 n = 109, mean age 61 ± 1; 74.3% men), individuals with BMI ranging from 25.0 to 29.9 kg/m2 defined as overweight subjects (Group 2 n = 57, mean age 58.8 ± 1.4; 77% men), and subjects with a BMI ranging from 18.5 to 24.9 kg/m2 defined as normal weight subjects (Group 3 n = 19, mean age 54.2 ± 2.3; 64,2% men). RESULTS: In the whole population, the percentage cardiovascular risk was weakly related with BMI (r = 0.33; P < .001), but not with AHI. The cardiovascular risk was strictly related to the obesity (P < .00002), while the Epworth Questionnaire score and the Charlson Co-morbidity Index were respectively statistically higher in the group of obese individuals (P = .004, P = .0002) than in the other two sub-groups. When AHI values were stratified in tertiles, the percentage cardiovascular risk did not vary with increasing AHI values (Figure 2). CONCLUSIONS: Further studies are required to investigate the pivotal role of inflammation resulting from obesity, and underlying increased cardiovascular risk in OSA patients.

Covid-19 and ex-smokers: an underestimated prognostic factor?

Dear Editor, The recent and explosive worldwide outbreak of Covid-19 leads many scientists and clinicians to identify the most responsible triggering risk factors in individuals without comorbidities, as well as potential prognostic factors. A notable field of research has been conducted on the role of smoking, which has been initially hypothesized as being a protective factor for Covid-19....

Exhaled volatile organic compounds analysis by e-nose can detect idiopathic pulmonary fibrosis.

The current diagnostic work-up and monitoring of idiopathic pulmonary fibrosis (IPF) is often invasive and time consuming. Breath analysis by e-nose technology has shown potential in the diagnosis of numerous respiratory diseases. In this pilot study, we investigated whether exhaled breath analysis by an e-nose could discriminate among patients with IPF, healthy controls and COPD. Second, we verified whether these classification could be repeated in a set of newly recruited patients as external validation. Third, we evaluated any significant relationships between exhaled VOCs and Bronchoalveolar lavage fluid (BALF) in IPF patients. We enrolled 32 patients with well-characterized IPF, 33 individuals with COPD and 36 healthy controls. An electronic nose (Cyranose 320) was used to analyze exhaled breath samples. Raw data were processed by Principal component reduction and linear discriminant analysis. External validation in newly recruited patients (10 IPF, 10 COPD and 10 controls) was tested using the previous training set. Exhaled VOC-profiles of patients with IPF were distinct from those of healthy controls (CVA = 98.5%) as well as those with COPD (CVA = 80.0%). External validation confirmed the above findings (IPF vs COPD vs healthy controls, CVA 96.7%). Moreover, a significant inversely proportional correlation was shown between BALF total cell count and both Principal Components 1 and 2 (r = 0.543, r2 = 0.295, p < 0.01; r = 0.501, r2 = 0.251; p < 0.01, respectively). The exhaled breath Volatile Organic Compounds- profile of patients with IPF can be detected by an electronic nose. This suggests that breath analysis has potential for diagnosis and/or monitoring of IPF.

The ovarian cycle may influence the exhaled volatile organic compound profile analyzed by an electronic nose.

INTRODUCTION: We aimed to investigate whether the sex hormone profile during the ovarian cycle in healthy women could affect the volatile organic compound (VOC) profile analyzed by an electronic nose (e-nose). METHODS: We enrolled 21 healthy, never-smoking, regularly menstruating women who were not taking any medications. A series of exhaled breath measurements were performed on all subjects at predefined intervals (days 1-6, 7-12, 13-19, 20-25 and 26-31; day 1 was the first day of menstruation) during their ovarian cycle and analyzed by an e-nose (Cyranose 320). RESULTS: By principal component analysis, significant modifications of the exhaled VOC profile were observed over the cycle for principal component 1 (PC1; p = 0.001). In particular, the PC1 value was significantly higher during the premenstrual period and during menstruation compared with the first third of estrogen phase, mid-cycle and the first third of progestational phase (for all parameters p < 0.05 and p < 0.01, respectively). Subsequent linear discriminant analysis confirmed the above findings. CONCLUSIONS: The ovarian cycle may alter the exhaled VOC pattern and this should be taken into account during serial measurements of these markers in the female population.

Voluntary lung function screening to reveal new COPD cases in southern Italy.

BACKGROUND: Underdiagnosis of COPD is a relevant issue, and most frequently involves patients at early stages of the disease. Physicians do not routinely recommend smokers to undergo spirometry, unless they are symptomatic. AIMS: To investigate the effectiveness of voluntary lung function screening in bringing to light patients with previously unknown COPD and to evaluate the relationships among symptoms, smoking status, and airway obstruction. METHODS: A voluntary screening study for COPD was conducted during two editions of the annual Fiera del Levante (2014 and 2015), an international trade fair in Bari. Subjects were eligible for the study if they fulfilled the following inclusion criteria: age ≥35 years, smoker/ex-smoker ≥5 pack-years (PYs), or at least one chronic respiratory symptom (cough, sputum production, shortness of breath, and wheezing). A free post-ß2-agonist spirometry test was performed by trained physicians for each participant using portable spirometers. Post-ß2-agonist forced expiratory volume in 1 second (FEV1):forced vital capacity ratio <0.7 was chosen to establish the diagnosis of COPD. Sensitivity, specificity, and negative and positive predictive values (NPVs and PPVs) of symptoms for the presence of obstruction were calculated. RESULTS: A total of 1,920 individuals were eligible for the study; 188 subjects (9.8%) met COPD criteria. There was a 10.4% prevalence of COPD in subjects with one or more symptoms who had never smoked or smoked ≤5 PYs. Among COPD patients, prevalence of symptoms increased in the presence of FEV1 <80%. COPD smokers were more symptomatic than smokers without COPD. Sensitivity and specificity in all subjects with one or more symptoms were 87% and 32%, respectively, whereas in smoker subgroups, sensitivity and specificity were 71% and 41% (≥5 PYs) and 74% and 35% (≥10 PYs), respectively. In all subjects, the presence of at least one symptom was associated with a low PPV for COPD of 11%, but a very high NPV (96%). These data did not change if the analysis was limited to smokers. CONCLUSION: Voluntary public lung function screening programs in Italy are effective, and may detect a large number of undiagnosed subjects with COPD in early stages. In our population, COPD symptoms had low specificity and PPV, even considering smokers only.

Electronic Nose Technology in Respiratory Diseases.

Electronic noses (e-noses) are based on arrays of different sensor types that respond to specific features of an odorant molecule, mostly volatile organic compounds (VOCs). Differently from gas chromatography and mass spectrometry, e-noses can distinguish VOCs spectrum by pattern recognition. E-nose technology has successfully been used in commercial applications, including military, environmental, and food industry. Human-exhaled breath contains a mixture of over 3000 VOCs, which offers the postulate that e-nose technology can have medical applications. Based on the above hypothesis, an increasing number of studies have shown that breath profiling by e-nose could play a role in the diagnosis and/or screening of various respiratory and systemic diseases. The aim of the present study was to review the principal literature on the application of e-nose technology in respiratory diseases.

An electronic nose discriminates exhaled breath of patients with untreated pulmonary sarcoidosis from controls.

BACKGROUND: Sarcoidosis is a systemic granulomatous disease of unknown cause that affects the lungs in over 90% of cases. Breath analysis by electronic nose technology provides exhaled molecular profiles that have potential in the diagnosis of several respiratory diseases. OBJECTIVES: We hypothesized that exhaled molecular profiling may distinguish well-characterized patients with sarcoidosis from controls. To that end we performed electronic nose measurements in untreated and treated sarcoidosis patients and in healthy controls. METHODS: 31 sarcoidosis patients (11 patients with untreated pulmonary sarcoidosis [age: 48.4 ± 9.0], 20 patients with treated pulmonary sarcoidosis [age: 49.7 ± 7.9]) and 25 healthy controls (age: 39.6 ± 14.1) participated in a cross-sectional study. Exhaled breath was collected twice using a Tedlar bag by a standardized method. Both bags were then sampled by an electronic nose (Cyranose C320), resulting in duplicate data. Statistical analysis on sensor responses was performed off-line by principal components (PC) analyses, discriminant analysis and ROC curves. RESULTS: Breathprints from patients with untreated pulmonary sarcoidosis were discriminated from healthy controls (CVA: 83.3%; AUC 0.825). Repeated measurements confirmed those results. Patients with untreated and treated sarcoidosis could be less well discriminated (CVA 74.2%), whereas the treated sarcoidosis group was undistinguishable from controls (CVA 66.7%) CONCLUSION: Untreated patients with active sarcoidosis can be discriminated from healthy controls. This suggests that exhaled breath analysis has potential for diagnosis and/or monitoring of sarcoidosis.

An electronic nose distinguishes exhaled breath of patients with Malignant Pleural Mesothelioma from controls.

BACKGROUND: Malignant Pleural Mesothelioma (MPM) is a tumour of the surface cells of the pleura that is highly aggressive and mainly caused by asbestos exposure. Electronic noses capture the spectrum of exhaled volatile organic compounds (VOCs) providing a composite biomarker profile (breathprint). OBJECTIVE: We tested the hypothesis that an electronic nose can discriminate exhaled air of patients with MPM from subjects with a similar long-term professional exposure to asbestos without MPM and from healthy controls. METHODS: 13 patients with a histology confirmed diagnosis of MPM (age 60.9±12.2 year), 13 subjects with certified, long-term professional asbestos exposure (age 67.2±9.8), and 13 healthy subjects without asbestos exposure (age 52.2±16.2) participated in a cross-sectional study. Exhaled breath was collected by a previously described method and sampled by an electronic nose (Cyranose 320). Breathprints were analyzed by canonical discriminant analysis on principal component reduction. Cross-validated accuracy (CVA) was calculated. RESULTS: Breathprints from patients with MPM were separated from subjects with asbestos exposure (CVA: 80.8%, sensitivity 92.3%, specificity 85.7%). MPM was also distinguished from healthy controls (CVA: 84.6%). Repeated measurements confirmed these results. CONCLUSIONS: Molecular pattern recognition of exhaled breath can correctly distinguish patients with MPM from subjects with similar occupational asbestos exposure without MPM and from healthy controls. This suggests that breathprints obtained by electronic nose have diagnostic potential for MPM.

The relationship between malignant mesothelioma and an asbestos cement plant environmental risk: a spatial case-control study in the city of Bari (Italy).

OBJECTIVES: To estimate the mesothelioma risk and environmental asbestos exposure (EAE) due to an asbestos-cement plant. METHODS: A spatial case-control study including 48 malignant mesothelioma (MM) cases occurred in the period 1993-2003 selected from the regional mesothelioma register (RMR) and 273 controls. The disease risk was estimated by means of a logistic-regression model, in which the probability of disease-occurrence is expressed as a function of the classes of distances. A non-parametric method was applied to estimate the full relative risk surface. RESULTS: Significant MM odds ratio of 5.29 (95 CI: 1.18-23.74) was found for people living within a range up to 500 m centered on the plant. The non-parametric estimation of relative risk surface unveiled a marked peak near the plant not paralleled by the spatial distribution of controls. CONCLUSION: Evidence of an association between mesothelioma risk and EAE is highlighted. The role played by the RMR in increasing the public health local authorities awareness is stressed.

An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD.

BACKGROUND: Exhaled breath contains thousands of gaseous volatile organic compounds (VOCs) that may be used as non-invasive markers of lung disease. The electronic nose analyzes VOCs by composite nano-sensor arrays with learning algorithms. It has been shown that an electronic nose can distinguish the VOCs pattern in exhaled breath of lung cancer patients from healthy controls. We hypothesized that an electronic nose can discriminate patients with lung cancer from COPD patients and healthy controls by analyzing the VOC-profile in exhaled breath. METHODS: 30 subjects participated in a cross-sectional study: 10 patients with non-small cell lung cancer (NSCLC, [age 66.4+/-9.0, FEV(1) 86.3+/-20.7]), 10 patients with COPD (age 61.4+/-5.5, FEV(1) 70.0+/-14.8) and 10 healthy controls (age 58.3+/-8.1, FEV(1) 108.9+/-14.6). After 5 min tidal breathing through a non-rebreathing valve with inspiratory VOC-filter, subjects performed a single vital capacity maneuver to collect dried exhaled air into a Tedlar bag. The bag was connected to the electronic nose (Cyranose 320) within 10 min, with VOC-filtered room air as baseline. The smellprints were analyzed by onboard statistical software. RESULTS: Smellprints from NSCLC patients clustered distinctly from those of COPD subjects (cross validation value [CVV]: 85%; M-distance: 3.73). NSCLC patients could also be discriminated from healthy controls in duplicate measurements (CVV: 90% and 80%, respectively; M-distance: 2.96 and 2.26). CONCLUSION: VOC-patterns of exhaled breath discriminates patients with lung cancer from COPD patients as well as healthy controls. The electronic nose may qualify as a non-invasive diagnostic tool for lung cancer in the future.