Sulphurous thermal water inhalation impacts respiratory metabolic parameters in heavy smokers.

Sulphurous thermal water inhalations have been traditionally used in the treatment of airway diseases. In vivo and in vitro studies reported that they ameliorate mucus rheology, mucociliary clearance and reduce inflammation. Cigarette smoking induces an inflammatory damage, with consequent remodeling of respiratory airways, which in turn affect pulmonary functions. Despite the anti-inflammatory effects of H2S are clinically documented in several airway inflammatory diseases, data on the effects of sulphurous thermal water treatment on pulmonary function and biomarkers of airways inflammation in smokers are still scant. Therefore, we investigated whether a conventional cycle of sulphurous thermal water inhalation produced changes in markers of respiratory inflammation and function. A cohort of 504 heavy current and former smokers underwent 10-day cycles of sulphurous thermal water inhalation. Pulmonary function and metabolic analyses on exhaled breath condensate were then performed at day 0 and after the 10-day treatment. Spirometric data did not change after spa therapy, while exhaled breath condensate analysis revealed that a single 10-day cycle of sulphurous water inhalation was sufficient to induce a statistically significant increase of citrulline levels along with a decrease in ornithine levels, thus shifting arginine metabolism towards a reduced nitric oxide production, i.e. an anti-inflammatory profile. Overall, sulphurous thermal water inhalation impacts on arginine catatabolic intermediates of airways cells, shifting their metabolic balance towards a reduction of the inflammatory activity, with potential benefits for smokers.

Quantitative chest computed tomography is associated with two prediction models of mortality in interstitial lung disease related to systemic sclerosis.

Objective: In this multicentre study, we aimed to evaluate the capacity of a computer-assisted automated QCT method to identify patients with SSc-associated interstitial lung disease (SSc-ILD) with high mortality risk according to validated composite clinical indexes (ILD-Gender, Age, Physiology index and du Bois index). Methods: Chest CT, anamnestic data and pulmonary function tests of 146 patients with SSc were retrospectively collected, and the ILD-Gender, Age, Physiology score and DuBois index were calculated. Each chest CT underwent an operator-independent quantitative assessment performed with a free medical image viewer (Horos). The correlation between clinical prediction models and QCT parameters was tested. A value of P < 0.05 was considered statistically significant. Results: Most QCT parameters had a statistically different distribution in patients with diverging mortality risk according to both clinical prediction models (P < 0.01). The cut-offs of QCT parameters were calculated by receiver operating characteristic curve analysis, and most of them could discriminate patients with different mortality risk according to clinical prediction models. Conclusion: QCT assessment of SSc-ILD can discriminate between well-defined different mortality risk categories, supporting its prognostic value. These findings, together with the operator independence, strengthen the validity and clinical usefulness of QCT for assessment of SSc-ILD.

Quantitative CT indexes are significantly associated with exercise oxygen desaturation in interstitial lung disease related to systemic sclerosis.

INTRODUCTION: Interstitial Lung Disease (ILD) is the first cause of death related to Systemic Sclerosis (SSc). The ILD severity can be assessed with clinical, functional and radiological outcome. Nevertheless none of them is completely validated in clinical practice. Recently a new radiological evaluation based on Quantitative Computed Tomography Indexes (QCTI) was proposed on the basis of voxel-wise quantitative analysis of chest CT. OBJECTIVES: The main aim of this study is to verify if QCTI can identify SSc patients with significant oxygen desaturation during the 6 min walking test. The discrimination performance of QCTI and the other clinical, functional and radiological outcomes was also investigated. METHODS: Sixty three SSc patients were enrolled and underwent clinical, functional and radiological assessment. Inspiratory chest CT of each patient was evaluated with both a visual score and a dedicated software for segmentation of the lung in order to obtained QCTI. RESULTS: Patients with or without severe oxygen desaturation showed different QCTI, CT visual score and functional outcomes (P < 0.05). In particular, QCTI and functional outcomes showed almost the same discriminating ability. CONCLUSION: QCTI detect SSc patients with a severe oxygen desaturation after exercise as well as functional and other radiological outcomes. It is remarkable that QCTI are the only outcome without intra- or inter-reader variability because they are obtained with an algorithm. These findings bring out the QCTI as a concrete tool in SSc-ILD assessment.

Respiratory function in subjects with chronic obstructive pulmonary disease (COPD) and atmospheric pollution in the city of Parma. Preliminary analysis.

A hospital case record study was carried out enlisting urgently hospitalized subjects for chronic obstructive pulmonary disease (COPD) in order to study the percentage values variations of Vital Capacity (VC), Forced Vital Capacity (FVC) and maximum expiratory volume in 1 second (FEV1) based on atmospheric pollution trend in Parma city evaluated by PM10, NO2 and O3 concentrations. The results showed an association only between PM10 and hospitalizations for COPD with statistically significant differences between PM10 concentrations assessed 3-4 days before hospitalizations of the study subjects and the ones established in the days without any hospitalization. The regression analysis between PM10 and respiratory function concerning PM10 concentration at 24, 48, 72, 96 hours before the hospitalization showed significant association between FVC% and FEV1% and PM10 concentrations at 96 hours. The calculated odd ratio resulted equal to 1016 (L.C. 1001-1032) which corresponds to an increase of hospitalization probability for COPD equal to 1.6% for PM10 increment unit.