Iris van Geer-Postmus, Marika T Leving, Yoran H Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H Prins, Jennifer K Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H Kocks
{"title":"CodeX有效识别荷兰初级保健中的高危哮喘或COPD患者，支持指南驱动的治疗。","authors":"Iris van Geer-Postmus, Marika T Leving, Yoran H Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H Prins, Jennifer K Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H Kocks","doi":"10.1177/17534666251329192","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prevention of lung attacks (LAs)/exacerbation is an important treatment goal in both asthma and chronic obstructive pulmonary disease (COPD). However, LAs are often not registered as such in medical records.</p><p><strong>Objectives: </strong>Development and evaluation of CodeX Asthma and COPD.</p><p><strong>Design: </strong>An electronic medical record-based algorithm to identify LAs in Dutch primary care patients with asthma or COPD was developed. The algorithms were evaluated in nine general practices in the Netherlands.</p><p><strong>Results: </strong>A total of 479 LAs (in 1164 patients) were identified with CodeX Asthma in the past year, of which only 16% were registered. CodeX COPD identified 321 LAs (in 242 patients) in the past 3 years, of which two were registered.</p><p><strong>Conclusion: </strong>CodeX algorithms are capable of identifying unrecorded LAs and high-risk/uncontrolled patients in an easy way. This offers primary care providers a simple solution to easily identify and closely manage high-risk patients with asthma or COPD by identifying LAs' frequency and potential under- or overtreatment.</p>","PeriodicalId":22884,"journal":{"name":"Therapeutic Advances in Respiratory Disease","volume":"19 ","pages":"17534666251329192"},"PeriodicalIF":3.3000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12046172/pdf/","citationCount":"0","resultStr":"{\"title\":\"CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting guideline-driven treatment.\",\"authors\":\"Iris van Geer-Postmus, Marika T Leving, Yoran H Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H Prins, Jennifer K Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H Kocks\",\"doi\":\"10.1177/17534666251329192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Prevention of lung attacks (LAs)/exacerbation is an important treatment goal in both asthma and chronic obstructive pulmonary disease (COPD). However, LAs are often not registered as such in medical records.</p><p><strong>Objectives: </strong>Development and evaluation of CodeX Asthma and COPD.</p><p><strong>Design: </strong>An electronic medical record-based algorithm to identify LAs in Dutch primary care patients with asthma or COPD was developed. The algorithms were evaluated in nine general practices in the Netherlands.</p><p><strong>Results: </strong>A total of 479 LAs (in 1164 patients) were identified with CodeX Asthma in the past year, of which only 16% were registered. CodeX COPD identified 321 LAs (in 242 patients) in the past 3 years, of which two were registered.</p><p><strong>Conclusion: </strong>CodeX algorithms are capable of identifying unrecorded LAs and high-risk/uncontrolled patients in an easy way. This offers primary care providers a simple solution to easily identify and closely manage high-risk patients with asthma or COPD by identifying LAs' frequency and potential under- or overtreatment.</p>\",\"PeriodicalId\":22884,\"journal\":{\"name\":\"Therapeutic Advances in Respiratory Disease\",\"volume\":\"19 \",\"pages\":\"17534666251329192\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12046172/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic Advances in Respiratory Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/17534666251329192\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic Advances in Respiratory Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/17534666251329192","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting guideline-driven treatment.
Background: Prevention of lung attacks (LAs)/exacerbation is an important treatment goal in both asthma and chronic obstructive pulmonary disease (COPD). However, LAs are often not registered as such in medical records.
Objectives: Development and evaluation of CodeX Asthma and COPD.
Design: An electronic medical record-based algorithm to identify LAs in Dutch primary care patients with asthma or COPD was developed. The algorithms were evaluated in nine general practices in the Netherlands.
Results: A total of 479 LAs (in 1164 patients) were identified with CodeX Asthma in the past year, of which only 16% were registered. CodeX COPD identified 321 LAs (in 242 patients) in the past 3 years, of which two were registered.
Conclusion: CodeX algorithms are capable of identifying unrecorded LAs and high-risk/uncontrolled patients in an easy way. This offers primary care providers a simple solution to easily identify and closely manage high-risk patients with asthma or COPD by identifying LAs' frequency and potential under- or overtreatment.
期刊介绍：
Therapeutic Advances in Respiratory Disease delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of respiratory disease.
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