Getting the Most out of Spirometry: A Tool to Guide Dry Powder Inhaler Use.


Journal

Respiration; international review of thoracic diseases
ISSN: 1423-0356
Titre abrégé: Respiration
Pays: Switzerland
ID NLM: 0137356

Informations de publication

Date de publication:
2022
Historique:
received: 27 12 2021
accepted: 16 06 2022
pubmed: 29 8 2022
medline: 6 10 2022
entrez: 28 8 2022
Statut: ppublish

Résumé

Dry powder inhaler (DPI) use requires sufficient peak inspiratory flow over the DPI internal resistance (PIFR). We examined whether spirometric peak inspiratory flow (PIFspiro) could serve to predict PIFR in patients with obstructive lung disease. Thirty healthy nonsmokers and 140 stable outpatients (70 COPD, 70 asthma) performed spirometry according to the 2019 ERS/ATS spirometry update, yielding PIFspiro. Using a PIFR measurement device with varying orifices, all subjects' PIFR values were recorded for 5 predefined resistance levels, characterized by 5 orifice cross sections (SR). A test group including all healthy subjects, 30 of the asthma, and 30 of the COPD patients was used to establish the relationship between PIFR and both PIFspiro and SR by multiple regression. A validation group including the remaining 40 asthma and 40 COPD patients, served to verify whether their predicted PIFR value corresponded to the measured PIFR for each resistance level. The asthma (FEV1 = 78 ± 17 [SD] %pred) and COPD (FEV1 = 46 ± 17 [SD] %pred) patients under study had varying airway obstruction. In the test group, PIFR could be predicted by ln[PIFspiro] (p < 0.0001), SR (p < 0.0001), and SR2 (p = 0.006), with an adjusted R2 = 0.71. In the validation group, estimated PIFR did not significantly differ from measured PIFR (p > 0.05 for the 5 resistance levels). We propose a simple method to predict PIFR for a range of common DPI resistances, based on the device characteristics and on the patient's characteristics reflected in PIFspiro. As such, routine spirometry can serve to estimate a patient's specific PIFR without the need for additional testing.

Sections du résumé

BACKGROUND
Dry powder inhaler (DPI) use requires sufficient peak inspiratory flow over the DPI internal resistance (PIFR).
OBJECTIVES
We examined whether spirometric peak inspiratory flow (PIFspiro) could serve to predict PIFR in patients with obstructive lung disease.
METHOD
Thirty healthy nonsmokers and 140 stable outpatients (70 COPD, 70 asthma) performed spirometry according to the 2019 ERS/ATS spirometry update, yielding PIFspiro. Using a PIFR measurement device with varying orifices, all subjects' PIFR values were recorded for 5 predefined resistance levels, characterized by 5 orifice cross sections (SR). A test group including all healthy subjects, 30 of the asthma, and 30 of the COPD patients was used to establish the relationship between PIFR and both PIFspiro and SR by multiple regression. A validation group including the remaining 40 asthma and 40 COPD patients, served to verify whether their predicted PIFR value corresponded to the measured PIFR for each resistance level.
RESULTS
The asthma (FEV1 = 78 ± 17 [SD] %pred) and COPD (FEV1 = 46 ± 17 [SD] %pred) patients under study had varying airway obstruction. In the test group, PIFR could be predicted by ln[PIFspiro] (p < 0.0001), SR (p < 0.0001), and SR2 (p = 0.006), with an adjusted R2 = 0.71. In the validation group, estimated PIFR did not significantly differ from measured PIFR (p > 0.05 for the 5 resistance levels).
CONCLUSIONS
We propose a simple method to predict PIFR for a range of common DPI resistances, based on the device characteristics and on the patient's characteristics reflected in PIFspiro. As such, routine spirometry can serve to estimate a patient's specific PIFR without the need for additional testing.

Identifiants

pubmed: 36030775
pii: 000525715
doi: 10.1159/000525715
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

893-900

Informations de copyright

© 2022 S. Karger AG, Basel.

Auteurs

Shane Hanon (S)

Respiratory Division, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Eef Vanderhelst (E)

Respiratory Division, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Nico Buls (N)

Department of Radiology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Sylvia Verbanck (S)

Respiratory Division, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

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