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

Galectin-3 as prognostic biomarker in patients with COVID-19 acute respiratory failure

Objectives: Galectin-3 is p-galactoside-binding lectin with several roles in immune-inflammatory response. To date, there is no evidence of Galectin-3 role as a prognostic biomarker in COVID-19 disease. The aim of this study is to clarify the prognostic role of Galectin-3 in patients with COVID 19 acute respiratory failure.Methods: We enrolled 156 consecutive patients with COVID-19 disease. Routine laboratory test, arterial blood gas, chest X-ray or Computed Tomography and Galectin-3 dosage were performed. The primary outcome was to assess Galectin-3 predictive power for 30-day mortality. Secondary outcomes were 30-day Intensive Care Unit admission and Acute Respiratory Distress Syndrome stratification according to Galectin-3 dosage. We performed Mann-Whitney U and Kruskal-Wallis tests for continuous variables comparison. Fisher's exact test or Chi-square test were used for categorical variables analysis. Receiver Operating Characteristic curves estimated Galectin-3 predictive power for the endpoints. With a fixed cut-off of 35.3 ng/ml, Kaplan-Meier with Log-Rank test and Cox Regression were performed to assess mortality and Intensive Care Unit admission risk.Results: Galectin-3 correlated with many other prognostic predictors tested in our analysis. Moreover, patients with serum levels of Galectin-3 above 35.3 ng/ml had increased risk for mortality, Intensive Care Unit admission and severe Acute Respiratory Distress Syndrome.Conclusions: Our study demonstrates the role of Galectin-3 as a predictor of mortality, Intensive Care Unit access and ARDS stratification in patients with COVID 19 acute respiratory failure

Assessment of Five Questionnaires for Chronic Obstructive Pulmonary Disease in a Southern Italian Population: A Proof-of-Concept Study

Background and Objectives: Chronic obstructive pulmonary disease (COPD) is a growing burden to society, and remains underdiagnosed in Italy. This study aimed at evaluating five validated screening questionnaires to consider which one was the most accurate, and the optimal cut-off score for each to be considered for the Southern Italian population. Materials and Methods: A total of 144 patients were recruited in the study. The age range was 46-85 years. All subjects underwent spirometry, and completed the five questionnaires: CDQ, LFQ, COPD-PS, COPD-SQ, and CAPTURE. Receiver-operator curves (ROC) were drawn for each questionnaire. The area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), values for the optimal cut-off score and previously recommended score were calculated and compared. Results: Of the questionnaires, the CDQ, LFQ, and COPD-SQ had significant differences between COPD (n = 86) and non-COPD (n = 52) groups. The AUCs for each questionnaire with (95%CI) were: CAPTURE, 0.602 (0.431-0.773); CDQ, 0.714 (0.555-0.872); LFQ, 0.331 (0.183-0.479; COPD-PS, 0.652 (0.497-0.807); and COPD-SQ, 0.679 (0.520-0.837). Only the CDQ and COPD-SQ had significant AUC screening characteristics. The optimal cut-off values for the CDQ, LFQ, and COPD-PS were modified to 22, 10, and 4, respectively. The COPD-SQ remained at 17. Conclusion: The CDQ and COPD-SQ can discriminate between individuals with and without COPD in the Italian population. The CDQ has a moderate screening accuracy, and the COPD-PS and COPD-SQ have low accuracy, when the optimal cut-off scores are used. Of the five questionnaires assessed, the CDQ and COPD-SQ questionnaires could be used for screening for COPD in the Southern Italian population