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Christian Gessner,1 Frederik Trinkmann,2,3 Sanaz Bahari Javan,4 Raimund Hövelmann,4 Valentina Bogoevska,4 George Georges,5 Elena Nudo,6 Carl-Peter Criée7 1Pneumologische Praxis Leipzig, Universitätsklinikum Leipzig, Institut für Klinische Immunologie, Leipzig, Germany; 2Pneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Heidelberg, Germany; 3Department of Biomedical Informatics (DBMI) at the Center for Preventive Medicine and Digital Health Baden-Württemberg (CPD-BW), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany; 4Department of Medical Affairs, Chiesi GmbH, Hamburg, Germany; 5Corporate R&D, Chiesi USA Inc., Cary, NC, USA; 6Global Medical Affairs, Chiesi Farmaceutici S.p.A., Parma, Italy; 7Department of Sleep and Respiratory Medicine, Evangelical Hospital Goettingen-Weende, Bovenden, GermanyCorrespondence: Christian Gessner, Pneumologische Praxis Leipzig, Universitätsklinikum Leipzig, Institut für Klinische Immunologie, Tauchaer Straße 12, Leipzig, 04357, Germany, Tel +49 341 60 20 960, Email ch.gessner@pneumologe-leipzig.dePurpose: Real-word evidence on the effectiveness of switching from dual therapies or triple therapies (multiple inhalers) to extrafine single-inhaler triple therapy (efSITT), which consists of the inhaled corticosteroid (ICS) beclomethasone, the long-acting β2-agonist (LABA) formoterol and the long-acting muscarinic antagonist (LAMA) glycopyrronium, in patients with moderate-to-severe chronic obstructive pulmonary disease (COPD) is limited. The impact of switching to efSITT on health-related quality of life (HRQoL), COPD specific symptoms, lung function and treatment adherence were assessed in routine clinical care.Patients and Methods: Patients were recruited at 148 sites in Germany between 2017 and 2020 in this multicenter, non-interventional observational study. Demographics, clinical data and treatment history were collected at baseline. HRQoL (measured by COPD Assessment Test [CAT]), lung function and adherence (measured by Test of Adherence to Inhalers [TAI]) were assessed at baseline and after six months. Descriptive analyses were conducted by prior treatment and GOLD groups as well as for the overall population.Results: 55.1% of the 2623 included patients were male. Mean age was 65.8 years. 57.5% of the patients were previously treated with ICS+LABA+LAMA (multiple inhalers), 23.9% with ICS/LABA (single or two inhalers) and 18.6% with LAMA/LABA (single or two inhalers). After six months, largest mean improvements in the total CAT score were observed in the ICS/LABA (− 3.9) and LAMA/LABA (− 3.9) prior treatment groups as well as in patients in GOLD group B (− 2.9). In the overall population, the CAT items for cough, phlegm, and dyspnea decreased on average by − 0.4 points each. After six months, FEV1 increased by 2.0 percentage points in relation to predicted values. The percentages of measured sRtot and RV of predicted values decreased by 24.5 and 4.4 percentage points, respectively. The percentage of patients with good adherence increased from 67.8% to 76.5%.Conclusion: Treatment switch to efSITT resulted in an improvement of HRQoL, COPD specific symptoms, lung function parameters and adherence under real-world conditions.Keywords: COPD, extrafine single inhaler triple therapy, treatment adherence, CAT score

Mustafa Abdo,1 Frauke Pedersen,1,2 Frederik Trinkmann,3,4 Felix JF Herth,3 Klaus F Rabe,1 Anne-Marie Kirsten,2 Henrik Watz2 1LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 2Pulmonary Research Institute at LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 3Pneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Heidelberg, Germany; 4Department of Biomedical Informatics (DBMI) at the Center for Preventive Medicine and Digital Health Baden-Württemberg (CPD-BW), University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, GermanyCorrespondence: Mustafa Abdo, LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, Grosshansdorf, 22927, Germany, Email m.abdo@lungenclinic.de

Mustafa Abdo,1 Frederik Trinkmann,2,3 Anne-Marie Kirsten,4 Heike Biller,1 Frauke Pedersen,1,4 Benjamin Waschki,1 Erika Von Mutius,5 Matthias Kopp,6,7 Gesine Hansen,8 Klaus F Rabe,1 Thomas Bahmer,1,9,&ast; Henrik Watz4,&ast; On behalf of the ALLIANCE study group1LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 2Department of Pneumology and Critical Care Medicine, Thoraxklinik, University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany; 3Department of Biomedical Informatics, Heinrich-Lanz-Center, University Medical Center Mannheim, Heidelberg University, Heidelberg, Germany; 4Pulmonary Research Institute at the LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 5Dr von Hauner Children’s Hospital, Ludwig Maximilians University of Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research (DZL), and Institute of Asthma and Allergy Prevention, Helmholtz Centre, Both Munich, Germany; 6Department of Pediatric Respiratory Medicine, Inselspital, University Children’s Hospital of Bern, University of Bern, Bern, Switzerland; 7Division of Pediatric Pneumology & Allergology, University Hospital Schleswig-Holstein-Campus Luebeck, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Luebeck, Germany; 8Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research (DZL), Hannover, Germany; 9University Hospital Schleswig-Holstein-Campus Kiel, department for Internal Medicine I, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Kiel, Germany&ast;These authors contributed equally to this workCorrespondence: Mustafa AbdoLungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, Grosshansdorf, 22927, GermanyTel +49 4102 601 2412Email m.abdo@lungenclinic.deRationale: Small airway dysfunction (SAD) is a frequent feature of asthma that has been linked to disease severity and poor symptom control. However, little is known about the role of SAD in nocturnal asthma.Objective: To study the association between the severity of SAD and frequency of nocturnal symptoms compared to conventional lung function testing.Methods: We assessed the frequency of self-reported nocturnal symptoms through the asthma control test. We studied the impact of nocturnal asthma using the Asthma Quality of Life Questionnaire (AQLQ) and the Multidimensional Fatigue Inventory (MFI-20). We assessed the lung function using spirometry, body plethysmography, impulse oscillometry, single and multiple inert gas washout and measured markers of T2-inflammation (blood and sputum eosinophils; fractional exhaled nitric oxide (FeNo)). We stratified the patients according to the presence and frequency of nocturnal asthma.Results: A total of 166 asthma patients were enrolled in the analysis. Eighty-seven patients (52%) reported to have nocturnal symptoms at least once in the last four weeks. The odds ratio of nocturnal asthma correlated with the severity of all non-spirometric measures of SAD, yet neither with airflow obstruction (FEV1 and FEV/FVC) nor with large airway resistance (R20). Patients with frequent nocturnal asthma (n = 29) had a numerical increase of T2 markers and more severe SAD, as indicated by all non-spirometric measures of SAD (all p-values < 0.05), worse overall asthma control, increased fatigue and reduced quality of life (all p-values < 0.01) compared to patients with infrequent nocturnal asthma (n = 58) or patients without nocturnal asthma (n = 79). We identified 63 patients without airflow obstruction, nearly 43% of them (n = 27) had nocturnal asthma. In this subgroup, only markers of air trapping and ventilation heterogeneity were significantly elevated and correlated with the frequency of nocturnal symptoms: LCI (Spearman’s coefficient = − 0.42, p < 0.001), RV% (− 0.32, p = 0.02).Conclusion: SAD is closely associated to asthma with nocturnal symptoms. Spirometry might underestimate the broad spectrum of distal lung function impairments in this population of patients.Keywords: small airway dysfunction, nocturnal asthma, ventilation heterogeneity, air trapping

Frauke Pedersen,1,2 Frederik Trinkmann,3 Mustafa Abdo,2 Anne-Marie Kirsten,1 Klaus F Rabe,2 Henrik Watz,1 Simonetta Baraldo,4 Marina Saetta,4 Jens M Hohlfeld,5,6 Olaf Holz5 1Pulmonary Research Institute at LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 2LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 3Pneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany; 4Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Respiratory Diseases Clinic, University of Padova, Padova, Italy; 5Fraunhofer ITEM, Clinical Airway Research - Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany; 6Department of Respiratory Medicine, Hannover Medical School (MHH), Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, GermanyCorrespondence: Frauke PedersenPulmonary Research Institute at LungenClinic Grosshansdorf, Wöhrendamm 80, Grosshansdorf, D-22927, GermanyTel +49-4102-6016845Fax +49-4102-8881114Email f.pedersen@pulmoresearch.dePurpose: We recently introduced a sputum cell quality score to rate how cell morphology, cellular debris and squamous cell contamination influence inflammatory cell identification during microscopic evaluation. However, sputum cell quality is generally not considered for the interpretation of sputum fluid phase biomarkers. Therefore, we compared the soluble protein concentrations between sputum samples with different cell quality. The impact of cell quality was compared to other factors potentially affecting soluble biomarker concentrations.Methods: A comprehensive sputum dataset from 154 clinically stable COPD patients was used to analyse the differences and the variability of sputum supernatant concentrations for 23 proteins between low, medium, and high sputum cell quality samples. A model was developed and tested to compare the impact of different factors on sputum supernatant protein levels.Results: Mean percentages of sputum macrophages, neutrophils, eosinophils, monocytes and lymphocytes showed no significant differences between low, medium and high cell quality levels. The mean percentage of squamous cells were lower, while total cell count/mL sputum and cell viability were significantly higher in sputum samples with higher cell quality. The concentrations of Interleukin-6, Interleukin-8 and Tumor Necrosis Factor Receptor 2 were significantly increased in sputum samples of higher cell quality. The variability of most protein concentrations declined with increasing cell quality levels. Sixteen proteins showed significantly negative correlations with the percentage of squamous cells. For 14 proteins we observed a positive correlation with cell number/mL sputum. Multiple regression analysis shows that generally less than 30% of the protein variability can be explained by the included factors.Conclusion: Sputum cell quality has a significant impact on some soluble biomarker concentrations in sputum supernatant. Sputum samples with low sputum cell quality show a higher variability of fluid phase proteins in comparison to medium and high sputum cell quality levels.Keywords: sputum cell quality score, soluble biomarkers, sputum supernatant

Mustafa Abdo,1 Benjamin Waschki,2 Anne-Marie Kirsten,3 Frederik Trinkmann,4,5 Heike Biller,1 Christian Herzmann,6 Erika von Mutius,7 Matthias Kopp,8,9 Gesine Hansen,10 Klaus F Rabe,1 Thomas Bahmer,1,11,* Henrik Watz3,* On behalf of the ALLIANCE study group1LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 2Department of Cardiology and Pneumology at Hospital Itzehoe, Itzehoe, Germany; 3Pulmonary Research Institute at the LungenClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany; 4Department of Pneumology and Critical Care Medicine, Thoraxklinik, University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany; 5Department of Biomedical Informatics, Heinrich-Lanz-Center, University Medical Center Mannheim, Heidelberg University, Heidelberg, Germany; 6Research Center Borstel, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Borstel, Germany; 7Dr von Hauner Children’s Hospital, Ludwig Maximilians University of Munich, Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Munich, Germany; 8Department of Pediatric Respiratory Medicine, Inselspital, University Children’s Hospital of Bern, University of Bern, Bern, Switzerland; 9Division of Pediatric Pneumology & Allergology, University Hospital Schleswig-Holstein-Campus Luebeck, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Luebeck, Germany; 10Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research (DZL), Hannover, Germany; 11University Hospital Schleswig-Holstein-Campus Kiel, Department for Internal Medicine I, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Kiel, Germany*These authors contributed equally to this workCorrespondence: Mustafa AbdoLungenClinic Grosshansdorf GmbH, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, Großhansdorf, 22927, GermanyTel +49 4102 601 2412Email m.abdo@lungenclinic.deRationale: Asthma, obesity and physical activity (PA) are interrelated. However, longitudinal data with objective PA measures and direct assessment of body composition are still lacking.Objective: To study the impact of symptom control on PA and body composition.Methods: In a longitudinal cohort study of the German Center for Lung Research, we assessed the body composition of 233 asthma patients and 84 healthy controls using bioelectrical impedance analysis. PA (ie average daily steps and time of at least moderate activity, steps/min) was measured by accelerometry for one week. Asthma control was assessed by ACT score, ACQ-5 score and history of severe exacerbations. After two years of follow-up, we studied changes in physical activity and body composition in relation to asthma control.Results: Patients with uncontrolled asthma had increased fat mass and decreased muscle mass compared to patients with controlled asthma or healthy controls. Both fat mass and muscle mass correlated better with asthma control than the body mass index (BMI). In multivariate regressions adjusted for age and sex, asthma control and physical activity were independent predictors of body composition (R2 = 0.61, p