Development of a Scoring System to Predict Suboptimal Peak Inspiratory Flow in Patients With Chronic Obstructive Pulmonary Disease
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Peak inspiratory flow rate (PIFR) is a critical indicator for the successful use of dry powder inhalers (DPIs). However, resource constraints often limit the practicality of measuring PIFR prior to DPI prescription. METHODS: A cross-sectional observational study was conducted across seven hospitals in Korea, including patients with chronic obstructive pulmonary disease (COPD). To develop a scoring system to predict suboptimal PIFR without direct measurement, variables were selected through a literature review and logistic regression model, considering practicality in clinical settings. RESULTS: The study involved 436 patients and was divided into training and test datasets with a 7:3 ratio. Age (≥ 80 years), weight (≤ 60 kg), modified Medical Research Council score (≥ 2), and post-bronchodilator forced vital capacity (≤ 80%pred) were selected to develop the scoring system. The developed scoring system, ranging from 0 to 4 points with a 2-points threshold for predicting suboptimal PIFR, demonstrated acceptable predictive ability for suboptimal PIFR in training (area under the receiver operating characteristic [AUROC], 0.724; 95% confidence interval [CI], 0.660-0.789) and test datasets (AUROC, 0.686; 95% CI, 0.591-0.781). CONCLUSION: Our developed scoring system demonstrated an acceptable predictive ability for suboptimal PIFR in COPD patients, utilizing variables that are easily applicable in clinical practice.
Institutions: Korea University Guro Hospital, Dongguk University Gyeongju Hospital, Konkuk University, Konkuk University Medical Center, The Catholic University of Korea Seoul St. Mary's Hospital, Catholic University of Korea, Hanyang University, Hallym University, Hallym University Chuncheon Sacred Heart Hospital, Ajou University, University of Ulsan, Ulsan University Hospital, Kangdong Sacred Heart Hospital
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $690
Funder: Boehringer Ingelheim
Award: G6197449163
OpenAlex ID: W4409203270
