{"title":"Real world prescription of beta-blockers in patients with asthma.","authors":"Jihyun Lee, Pusoon Chun","doi":"10.1002/pds.5806","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to investigate the prescription of beta-blockers (β-blockers) for patients with asthma.</p><p><strong>Methods: </strong>In this retrospective cross-sectional study using the National Patient Sample (NPS) of the Health Insurance Review and Assessment Service (HIRA) of South Korea, β-blockers and asthma medications were investigated using generic name codes provided by HIRA. Concomitant administration was identified when a β-blocker and an asthma medication were co-prescribed in one billing statement or when separate β-blocker and asthma prescriptions had overlapping dates of use.</p><p><strong>Results: </strong>In the 1027 patients with asthma who were prescribed non-selective β-blockers (non-SBs), 3087 non-SB prescriptions were identified, of which 62.3% and 37.3% were for carvedilol and propranolol, respectively. Of the 906 patients with asthma prescribed selective β-blockers (SBs), 2942 SB prescriptions were identified, of which 48.5%, 28.3%, and 20.3% were for bisoprolol, atenolol, and nebivolol, respectively. Overall, 2149 non-SB and 2124 SB prescriptions with overlapping use dates with asthma medications were identified, which were prescribed to 726 and 657 patients, accounting for 70.7% and 72.5% of the patients receiving non-SBs and SBs, respectively. β2-agonists accounted for 39.9% of the concomitant asthma medications with overlapping dates of use with non-SBs. Co-prescribing of bronchodilators occurred at a rate of 38.7% and 45.1% for the 3087 non-SB prescriptions and 2942 SB prescriptions, respectively.</p><p><strong>Conclusions: </strong>Carvedilol and propranolol accounted for half of all β-blockers prescribed to asthma patients. Prescribing β-blockers to patients with asthma requires caution to prevent exacerbation of asthma and drug interactions between β-blockers and co-prescribed asthma medications.</p>","PeriodicalId":19782,"journal":{"name":"Pharmacoepidemiology and Drug Safety","volume":"33 8","pages":"e5806"},"PeriodicalIF":2.4000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacoepidemiology and Drug Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/pds.5806","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This study aimed to investigate the prescription of beta-blockers (β-blockers) for patients with asthma.
Methods: In this retrospective cross-sectional study using the National Patient Sample (NPS) of the Health Insurance Review and Assessment Service (HIRA) of South Korea, β-blockers and asthma medications were investigated using generic name codes provided by HIRA. Concomitant administration was identified when a β-blocker and an asthma medication were co-prescribed in one billing statement or when separate β-blocker and asthma prescriptions had overlapping dates of use.
Results: In the 1027 patients with asthma who were prescribed non-selective β-blockers (non-SBs), 3087 non-SB prescriptions were identified, of which 62.3% and 37.3% were for carvedilol and propranolol, respectively. Of the 906 patients with asthma prescribed selective β-blockers (SBs), 2942 SB prescriptions were identified, of which 48.5%, 28.3%, and 20.3% were for bisoprolol, atenolol, and nebivolol, respectively. Overall, 2149 non-SB and 2124 SB prescriptions with overlapping use dates with asthma medications were identified, which were prescribed to 726 and 657 patients, accounting for 70.7% and 72.5% of the patients receiving non-SBs and SBs, respectively. β2-agonists accounted for 39.9% of the concomitant asthma medications with overlapping dates of use with non-SBs. Co-prescribing of bronchodilators occurred at a rate of 38.7% and 45.1% for the 3087 non-SB prescriptions and 2942 SB prescriptions, respectively.
Conclusions: Carvedilol and propranolol accounted for half of all β-blockers prescribed to asthma patients. Prescribing β-blockers to patients with asthma requires caution to prevent exacerbation of asthma and drug interactions between β-blockers and co-prescribed asthma medications.
期刊介绍:
The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report.
Particular areas of interest include:
design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology;
comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world;
methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology;
assessments of harm versus benefit in drug therapy;
patterns of drug utilization;
relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines;
evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.