Sang Hyuk Kim, Youlim Kim, Chin Kook Rhee, Hyun Lee, Chang Youl Lee, Joo Hun Park, Seung Won Ra, Yong Bum Park, Kwang Ha Yoo, Hee Joung Kim
{"title":"一种预测慢性阻塞性肺疾病患者次优峰值吸入流量的评分系统的开发。","authors":"Sang Hyuk Kim, Youlim Kim, Chin Kook Rhee, Hyun Lee, Chang Youl Lee, Joo Hun Park, Seung Won Ra, Yong Bum Park, Kwang Ha Yoo, Hee Joung Kim","doi":"10.3346/jkms.2025.40.e139","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>Our developed scoring system demonstrated an acceptable predictive ability for suboptimal PIFR in COPD patients, utilizing variables that are easily applicable in clinical practice.</p>","PeriodicalId":16249,"journal":{"name":"Journal of Korean Medical Science","volume":"40 27","pages":"e139"},"PeriodicalIF":2.3000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260603/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development of a Scoring System to Predict Suboptimal Peak Inspiratory Flow in Patients With Chronic Obstructive Pulmonary Disease.\",\"authors\":\"Sang Hyuk Kim, Youlim Kim, Chin Kook Rhee, Hyun Lee, Chang Youl Lee, Joo Hun Park, Seung Won Ra, Yong Bum Park, Kwang Ha Yoo, Hee Joung Kim\",\"doi\":\"10.3346/jkms.2025.40.e139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>Our developed scoring system demonstrated an acceptable predictive ability for suboptimal PIFR in COPD patients, utilizing variables that are easily applicable in clinical practice.</p>\",\"PeriodicalId\":16249,\"journal\":{\"name\":\"Journal of Korean Medical Science\",\"volume\":\"40 27\",\"pages\":\"e139\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260603/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Medical Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3346/jkms.2025.40.e139\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Medical Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3346/jkms.2025.40.e139","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Development of a Scoring System to Predict Suboptimal Peak Inspiratory Flow in Patients With Chronic Obstructive Pulmonary Disease.
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.
期刊介绍:
The Journal of Korean Medical Science (JKMS) is an international, peer-reviewed Open Access journal of medicine published weekly in English. The Journal’s publisher is the Korean Academy of Medical Sciences (KAMS), Korean Medical Association (KMA). JKMS aims to publish evidence-based, scientific research articles from various disciplines of the medical sciences. The Journal welcomes articles of general interest to medical researchers especially when they contain original information. Articles on the clinical evaluation of drugs and other therapies, epidemiologic studies of the general population, studies on pathogenic organisms and toxic materials, and the toxicities and adverse effects of therapeutics are welcome.