Price David B, Yang Sen, Ming Simon Wan Yau, Hardjojo Antony, Cabrera Claudia, Papaioannou Andriana I, Loukides Stelios, Kritikos Vicky, Bosnic-Anticevich Sinthia Z, Carter Victoria, Dorinsky Paul M
Observational and Pragmatic Research Institute Pte Ltd, Singapore, Singapore,
Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,
Int J Chron Obstruct Pulmon Dis. 2018 Dec 13;13:3937-3946. doi: 10.2147/COPD.S174371. eCollection 2018.
BACKGROUND: Peak inspiratory flow (PIF) as generated through the resistance of a dry powder inhaler (DPI) device is a critical patient-dependent maneuver impacting the success of DPI medication delivery. Despite its importance, it is not routinely measured in clinical practice. Little is currently known about the relationship, if any, between PIF through DPI devices, routine spirometry and disease outcomes. AIM: The aim of this study was to identify potential predictors of PIF for different DPIs from spirometric parameters and patient characteristics and explore the association between PIF and follow-up events. PATIENTS AND METHODS: A retrospective observational study at discharge among patients hospitalized for a COPD exacerbation at Attikon hospital, Athens, Greece. Spirometry was performed using an Easy on-PC™ spirometer. PIF was measured through four DPI resistances using the In-Check™ DIAL. Regression analyses were used to investigate the association between PIF through resistances and spirometric parameters obtained at discharge, comorbidities and demographic parameters. RESULTS: Forty-seven COPD patients (mean [±SD], age 71 [±9] years, 72% males, 51% current smokers) were included in this study. Overall, 85% and 15% were classified as GOLD (2017) groups D and C, respectively. Most prevalent comorbidities were hypertension (70%) and cardiovascular disease (53%). In the final regression model, higher PIF was significantly associated with the following: higher FEV and % predicted peak expiratory flow (PEF) for Turbohaler (-squared value 0.374); higher FEV and diagnosis of gastroesophageal reflux disease (GERD) for Aerolizer (-squared value 0.209) and higher FEV, younger age and diagnosis of ischemic heart disease (IHD) for Diskus (-squared value 0.350). However, -squared values for all three devices were weak (<0.4). CONCLUSION: The study did not provide evidence to support the use of surrogate measurements for PIF through device resistance, which could assist in determining the appropriateness of inhaler device type. Although PIF measurement is feasible in patients at discharge and could be a valuable addition to the standard of care in COPD management, it needs to be measured directly.
Int J Chron Obstruct Pulmon Dis. 2018-12-13
Int J Chron Obstruct Pulmon Dis. 2019-3-1
J Aerosol Med Pulm Drug Deliv. 2024-8
J Aerosol Med Pulm Drug Deliv. 2024-10
Eur Rev Med Pharmacol Sci. 2017-6
J Aerosol Med Pulm Drug Deliv. 2015-2
J Aerosol Med Pulm Drug Deliv. 2024-10
Int J Chron Obstruct Pulmon Dis. 2022
Int J Chron Obstruct Pulmon Dis. 2018-2-26
J Aerosol Med Pulm Drug Deliv. 2017-9-21
Chronic Obstr Pulm Dis. 2017-7-15
Chronic Obstr Pulm Dis. 2014-9-25
J Allergy Clin Immunol Pract. 2017-3-9
Respir Med. 2017-3