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Introduction: The risk of cross-infections (including SARS-CoV-2) and damage to the flexible bronchoscope has led to the development of single-use flexible bronchoscopes as a cost-effective alternative. It is necessary for the bronchoscopist to evaluate the perception of the quality of these devices to determine if their quality is satisfactory for the user. The objective of this study was the construction and validation of a Bronchoscope Quality Questionnaire (BQQ) to evaluate the quality of the flexible bronchoscope perceived by the bronchoscopist.
Methods: We conducted a cross-sectional study in 21 pulmonology centres in Spain. A first version of the BQQ was carried out by a group of experts, the construct validity was evaluated, and a factor analysis reduced the number of items. Feasibility of the BQQ was assessed by a questionnaire, internal consistency by the Cronbach's alpha coefficient, and intra- and interrater reliability by the intraclass correlation coefficient (ICC).
Results: The final version of the BQQ was composed of six domains and 18 items. The median completion time was 5 min, and it was not difficult to understand the items. Cronbach's alpha was 0.89, the intrarater ICC was 0.70 (95% CI: 0.56-0.79), and the interrater ICC was 0.64 (95% CI: 0.47-0.76).
Conclusion: The BQQ showed good feasibility, internal consistency, and intra- and interrater reliability, which makes it suitable for evaluating the quality of flexible bronchoscopes perceived by the bronchoscopist.
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http://dx.doi.org/10.1159/000546088 | DOI Listing |
Pediatr Surg Int
August 2025
Department of Pediatric Surgery, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa, 216-8511, Japan.
Purpose: Acquired tracheomalacia (TM) following tracheostomy can hinder decannulation and affect the quality of life of pediatric patients. Therefore, a reproducible animal model of type III TM is required for further research and therapeutic development.
Methods: We established a rabbit model of acquired TM by resecting the anterior walls of the 2nd to 4th tracheal cartilage rings, while preserving the mucosa.
Ann Med Surg (Lond)
July 2025
Department of Medicine, University of Kentucky, College of Medicine, Bowling Green, Kentucky, USA.
Background: Chronic obstructive pulmonary disease (COPD) causes permanent lung damage and is a global health issue. Bronchoscopic Lung Volume Reduction (BLVR) with Zephyr valves has increased COPD treatment choices for individuals with persistent symptoms despite maximal drug therapy.
Objectives: This systematic review and meta-analysis evaluated available Zephyr valve data in severe emphysema patients.
ERJ Open Res
July 2025
COPD Centre, Department of Respiratory Medicine and Allergology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Background: Bronchoscopic lung volume reduction using one-way endobronchial valves (BLVR-EBV) improves exercise capacity and quality of life in patients with severe emphysema. However, its effect on symptoms of fatigue, anxiety and depression is unclear. Furthermore, whether the combination of pulmonary rehabilitation (PR) and BLVR-EBV yields additional impact on these symptoms remains unknown.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
August 2025
Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272029, China.
The data of adult whooping cough pneumonia patients admitted to the Affiliated Hospital of Jining Medical College from January 2023 to December 2024 were retrospectively analyzed, and the Leicester Cough Questionnaire (LCQ) was used to analyze the severity of the patients' cough and the decline of their quality of life, and to summarize the clinical manifestation, imaging feature, and bronchoscopic manifestation. A total of 24 adult patients with whooping cough, 13 males and 11 females, aged (56.0±15.
View Article and Find Full Text PDFSci Prog
August 2025
State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
ObjectiveIn prior research, we employed artificial intelligence (AI) to distinguish different anatomical positions in the airway under bronchoscopy. We aimed to leverage AI to identifying different types of airway stent.MethodsTo "deep learn" imaging data from patients who underwent bronchoscopy for implanting airway stents from January 2010 to June 2024, utilizing the Vision Transformer model (AI architecture).
View Article and Find Full Text PDF