Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The deposition of dry powder aerosol drugs depends on the inhalation parameters of the patients through the inhaler. These data are not directly measured in clinical practice. Their prediction based on the routinely measured spirometric data could help in choosing the appropriate device and optimizing the therapy. The aim of this study was to perform inhalation experiments to find correlations between inhalation parameters of COPD patients through two DPI devices and their native spirometric data, gender, age and disease severity. Another goal was to establish relationships between peak inspiratory flows through NEXThaler® and Ellipta® inhalers and their statistical determinants. Breathing parameters of 113 COPD patients were measured by normal spirometry and while inhaling through the two DPIs. Statistical analysis of the measured data was performed. The average values of peak inspiratory flow through the devices (PIF) were 68.4 L/min and 78.0 L/min for NEXThaler® and Ellipta®, respectively. PIF values were significantly higher for males than for females, but differences upon age, BMI and disease severity group were not significant. PIF values correlated best with their native spirometric counterparts (PIF) and linear relationships between them were revealed. Current results may be used in the future to predict the success of inhalation of COPD patients through DPI devices, which may help in the inhaler choice. By choosing the appropriate device-drug pair for each patient the lung dose can be increased and the efficiency of the therapy improved. Further results of the clinical study will be the subject of a next publication.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.rmed.2024.107576DOI Listing

Publication Analysis

Top Keywords

copd patients
16
inhalation parameters
12
nexthaler® ellipta®
12
parameters copd
8
dry powder
8
spirometric data
8
choosing appropriate
8
patients dpi
8
dpi devices
8
native spirometric
8

Similar Publications

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments.

View Article and Find Full Text PDF

Background: In patients with moderate COPD, response to pulmonary rehabilitation including exercise training varies according to the presence of peripheral muscle fatigue (pMF) of quadriceps. This study investigates the role of pMF in predicting pulmonary rehabilitation outcomes in more severe COPD patients who have already developed chronic respiratory failure (COPD-CRF).

Methods: A analysis of a prospective randomised controlled trial was performed at Istituti Clinici Scientifici Maugeri Lumezzane (Brescia, Italy), involving 30 COPD-CRF patients undergoing a pulmonary rehabilitation programme comprising 20 endurance training sessions.

View Article and Find Full Text PDF

Predictors of mortality and hospitalised exacerbations in obstructive airway diseases.

ERJ Open Res

September 2025

Department of Bioanalysis, Pharmaceutical Care Unit, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

Background: In Belgium, age-standardised hospital admission and mortality rates for asthma and COPD are higher than the European average. Understanding the factors that lead to a hospitalised exacerbation and/or mortality is needed to optimise patient management.

Methods: Patients ≥18 years old obtaining two claims for drugs for obstructive airway diseases (ATC code R03) in 1 year between 2017 and 2022 were identified in Belgian nationwide claims-based data.

View Article and Find Full Text PDF

Background: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease. However, the biological role of mitochondrial metabolism (MM) in COPD remains poorly understood. This study aimed to explore the underlying mechanisms of MM in COPD using bioinformatics methods.

View Article and Find Full Text PDF