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Background: Alpha 1 antitrypsin deficiency (AATD) is an autosomal codominant genetic condition that affects Caucasians of the European population due to the presence of a deficient allele of the SERPINA1 gene. A frequency of about 1/5,000 individuals has been estimated in Italy. Objectives: The aim of the study was to evaluate the distribution of the clinical manifestations of severe and intermediate genetic AATD in the geographic area around Parma in Northern Italy. Method: 238 subjects were submitted to molecular analysis of the SERPINA1 gene, and data on anthropometric variables, smoking habits, number of packs per year, AAT serum concentration, and clinical manifestations were recorded and presented as mean ± SD or median values (1st quartile; 3rd quartile). Results: The results show a distribution of genetic AATD of 4.1% of the screened population in the area encompassing the city of Parma. PI*MS and PI*MZ were the most common genotypes at 40.9% and 28.2% of the population with genetic AATD, and asthma and emphysema were the most represented clinical manifestations. Conclusion: Our study allowed to increase the knowledge of the distribution of genetic AATD in Northern Italy providing information regarding frequencies of genotypes and clinical manifestations of the disorder. [ABSTRACT FROM AUTHOR]

Background: The presence of interstitial pneumonia in coronavirus disease 2019 (COVID-19) patients, as diagnosed through laboratory, functional, and radiological data, provides potential predicting factors of pulmonary sequelae. Objectives: The objectives were the creation of a risk assessment score for pulmonary sequelae at high-resolution computed tomography (HRCT) through the assessment of laboratory data, lung function, and radiological changes in patients after the onset of COVID-19 interstitial pneumonia and the identification of predictive factors. Methods: We enrolled 121 subjects hospitalized due to COVID-19 pneumonia in our study. Clinical features, Charlson Comorbidity Index (CCI) score, HRCT score, and blood chemistry data at hospital admission, as well as HRCT score, pulmonary function testing values, exercise capacity by means of a 6-Minute Walk Test (6MWT), and dyspnea perception by the modified Medical Research Council (mMRC) at 4-month follow-up, were all recorded. The variables were elaborated in order to create a predictive model to identify patients at high risk of pulmonary sequelae at HRCT. Results: At the time of follow-up visit, 63% of patients had functional abnormality (diffusion lung capacity and/or total lung capacity <80% of predicted). Age, BMI, CCI, D-dimer, 6MWT, and mMRC were included in the COVID-19 Sequelae Score (COSeSco, ranging 0–15), which was able to individuate COVID-19 patients with radiologic sequelae (HRCT score >10%) at follow-up. The most revelatory COSeSco value that was found to intercept the highest sensitivity (100%) and specificity (77%) was 2. Conclusion: The COSeSco – comprising age, BMI, comorbidities, D-dimer, walking distance, and dyspnea perception – makes it possible to identify particularly at-risk COVID-19 patients who are likely to develop pulmonary sequelae assessed by HRCT. [ABSTRACT FROM AUTHOR]

Background: There is no gold standard in diagnosing SAD. Indicators of SAD are considered: (a) a value <65% of predicted values of two of three measures, FEF25-75, FEF50 e FEF75 (FEF+); (b) a value of FEV3/FEV6 < LLN (FEV3/FEV6+); (c) an IOS value of R5-R20 >0.07 kPa·s·L−1 (R5-R20+). Aim and Objectives: The aim of the study was to ascertain, in asthmatic patients, whether spirometry and IOS indicators agree in detecting SAD. We also assessed the relationship between spirometry and IOS indicators and clinical features of asthma. Methods: We prospectively recruited adult asthmatic patients. Anthropometric and clinical characteristics were recorded. All patients performed spirometry and IOS tests. Results: We enrolled 301 asthmatic patients (179 females; mean age 50 ± 16 years) with normal to moderately severe degree of airway obstruction; 91% were non-smokers, 74% were atopic, 28% had an exacerbation in the previous year, and 18% had a poor asthma control by ACT. SAD was diagnosed in 62% of patients through FEF+, in 40% through FEV3/FEV6+ and in 41% through R5-R20+. κ values were 0.49 between FEF+ and FEV3/FEV6+, 0.20 between FEF+ and R5-R20+, 0.07 between FEV3/FEV6+ and R5-R20+. R5-R20+ but not FEF+ and FEV3/FEV6+ was significantly associated with ACT score (p < 0.05). Conclusions: Our study shows that in mild to moderately severe asthmatic patients, spirometry and IOS indicators are complementary in diagnosing SAD. Additionally, IOS indicator, but not spirometry ones, was related to asthma control. [ABSTRACT FROM AUTHOR]