Incidence and prevalence of asthma, chronic obstructive pulmonary disease and interstitial lung disease between 2004 and 2023: harmonised analyses of longitudinal cohorts across England, Wales, South-East Scotland and Northern Ireland

IF 9 1区 医学 Q1 RESPIRATORY SYSTEM
Thorax Pub Date : 2025-04-08 DOI:10.1136/thorax-2024-222699
Hannah Whittaker, Adriana Kramer Fiala Machado, Sara Hatam, Sarah Cook, Sean Scully, Hywel Turner T Evans, Thomas Bolton, Constantinos Kallis, John Busby, Liam G Heaney, Aziz Sheikh, Jennifer K Quint
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Methods Data from the National Health Service England (NHSE), Clinical Practice Research Datalink Aurum in England, Secure Anonymised Information Linkage Databank in Wales, DataLoch in South-East Scotland and the Honest Broker Service in NI were used. A harmonised approach to COPD, asthma and ILD case definitions, study designs and study populations across the four nations was performed. Age-sex-standardised incidence rates and point prevalence were calculated between 2004 and 2023 depending on data availability. Logistic and negative binomial regression compared incidence and prevalence rates between the start and end of each study period. Linear extrapolation projected incidence rates between 2020 and 2023 to illustrate how observed and projected rates differed. Results Incidence rates were lower in 2019 versus 2005 for asthma (England: incidence rate ratio 0.89, 95% CI 0.88 to 0.90; Wales: 0.66, 0.65 to 0.68; Scotland: 0.67, 0.64 to 0.71; NI: 0.84, 0.81 to 0.86), COPD (England: 0.83, 0.82 to 0.85; Wales: 0.67, 0.65 to 0.69) and higher for ILD (England: 3.27, 3.05 to 3.50; Wales: 1.39, 1.27 to 1.53; Scotland: 1.63, 1.36 to 1.95; NI: 3.03, 2.47 to 3.72). In NHSE, the incidence of asthma was similar in June 2023 versus November 2019, but lower for COPD and higher for ILD. Prevalence of asthma in 2019 in England, Wales, Scotland and NI was 9.7%, 15.9%, 13.2% and 7.0%, respectively, for COPD 4.5%, 5.1%, 4.4% and 3.0%, and for ILD 0.4%, 0.5%, 0.6% and 0.3%. Projected incidence rates were 2.8, 3.4 and 1.8 times lower for asthma, COPD and ILD compared with observed rates at the height of the pandemic. Interpretation Asthma, COPD and ILD affect over 10 million people across the four nations, and a substantial number of diagnoses were missed during the pandemic. All data relevant to the study are included in the article or uploaded as supplementary information. The data used in this study are available in NHS England’s Secure Data Environment (SDE) service for England, but as restrictions apply, they are not publicly available (<https://digital.nhs.uk/coronavirus/coronavirus-data-services-updates/trusted-research-environment-service-for-england>; <https://digital.nhs.uk/services/secure-data-environment-service>). The CVD-COVID-UK/COVID-IMPACT programme led by the BHF Data Science Centre (<https://bhfdatasciencecentre.org/>; <https://www.hdruk.ac.uk/helping-with-health-data/bhf-data-science-centre/>) received approval to access data in NHS England’s SDE service for England from the Independent Group Advising on the Release of Data (IGARD) (<https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/independent-group-advising-on-the-release-of-data>) via an application made in the Data Access Request Service (DARS) Online system (ref. DARS-NIC-381078-Y9C5K) (<https://digital.nhs.uk/services/data-access-request-service-dars/dars-products-and-services>). The CVD-COVID-UK/COVID-IMPACT Approvals & Oversight Board (<https://bhfdatasciencecentre.org/areas/cvd-covid-uk-covid-impact/>; <https://www.hdruk.ac.uk/projects/cardiovasculard-covid-uk-project/>) subsequently granted approval to this project to access the data within NHS England’s SDE service for England. The de-identified data used in this study were made available to accredited researchers only. Those wishing to gain access to the data should contact bhfdsc@hdruk.ac.uk in the first instance. The Northeast - Newcastle and North Tyneside 2 research ethics committee provided ethical approval for the CVD-COVID-UK/COVID-IMPACT research programme (REC No 20/NE/0161) to access, within secure SDE trusted research environments, unconsented, whole-population, de-identified data from EHR data collected as part of patients’ routine healthcare. Our analysis was performed according to a prespecific analysis plan published on GitHub, along with the phenotyping and analysis code (<https://github.com/BHFDSC/CCU052_01>). To ensure anonymity and compliance with the NHSE SDE CVD-COVID-UK consortium rules of statistical disclosure, all reported numbers were rounded to the nearest 5. Counts less than 10 were expressed as '<10'. CPRD has NHS Health Research Authority (HRA) Research Ethics Committee (REC) approval to allow the collection and release of anonymised primary care data for observational research (NHS HRA REC reference number: 05/MRE04/87). Each year CPRD obtains Section 251 regulatory support through the HRA Confidentiality Advisory Group (CAG), to enable patient identifiers, without accompanying clinical data, to flow from CPRD contributing GP practices in England to NHSE, for the purposes of data linkage (CAG reference number: 21/CAG/0008). The protocol for this research was approved by CPRD’s Research Data Governance (RDG) Process (protocol number: 22\\_001769) and the approved protocol is available upon request. Linked pseudonymised data was provided for this study by CPRD. Data is linked by NHSE, the statutory trusted third party for linking data, using identifiable data held only by NHSE. Select general practices consent to this process at a practice level with individual patients having the right to opt-out. All work conducted in SAIL Databank was completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) under project number 1387. Researchers can apply for the data and scripts within the SAIL trusted research environment, subject to the standard SAIL project application process (saildatabank.com/contact). The DataLoch work was reviewed and approved under the project number DL\\_2022_054. The underlying DataLoch data are available as part of the DataLoch Respiratory Registry—a de-identified registry of linked respiratory data from the South-East Scotland region—which can be accessed by application to the DataLoch service (dataloch.org/connect-with-us). Accredited researchers could only access the de-identified HBS data used in this study by signing a Disclosure Policy Agreement and Research Data Access Agreement. The data was accessible from a secure location, the UK Secure e-Research Platform (UK SeRP). Ethical approval was not required for this study as it was facilitated via HBS. Consent was not required for this study as data was provided in anonymised format, the rights of individuals are respected with adequate privacy protection.","PeriodicalId":23284,"journal":{"name":"Thorax","volume":"242 1","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thorax","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/thorax-2024-222699","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

Abstract

Background We describe the epidemiology of asthma, chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) from 2004 to 2023 in England, Wales, Scotland and Northern Ireland (NI) using a harmonised approach. Methods Data from the National Health Service England (NHSE), Clinical Practice Research Datalink Aurum in England, Secure Anonymised Information Linkage Databank in Wales, DataLoch in South-East Scotland and the Honest Broker Service in NI were used. A harmonised approach to COPD, asthma and ILD case definitions, study designs and study populations across the four nations was performed. Age-sex-standardised incidence rates and point prevalence were calculated between 2004 and 2023 depending on data availability. Logistic and negative binomial regression compared incidence and prevalence rates between the start and end of each study period. Linear extrapolation projected incidence rates between 2020 and 2023 to illustrate how observed and projected rates differed. Results Incidence rates were lower in 2019 versus 2005 for asthma (England: incidence rate ratio 0.89, 95% CI 0.88 to 0.90; Wales: 0.66, 0.65 to 0.68; Scotland: 0.67, 0.64 to 0.71; NI: 0.84, 0.81 to 0.86), COPD (England: 0.83, 0.82 to 0.85; Wales: 0.67, 0.65 to 0.69) and higher for ILD (England: 3.27, 3.05 to 3.50; Wales: 1.39, 1.27 to 1.53; Scotland: 1.63, 1.36 to 1.95; NI: 3.03, 2.47 to 3.72). In NHSE, the incidence of asthma was similar in June 2023 versus November 2019, but lower for COPD and higher for ILD. Prevalence of asthma in 2019 in England, Wales, Scotland and NI was 9.7%, 15.9%, 13.2% and 7.0%, respectively, for COPD 4.5%, 5.1%, 4.4% and 3.0%, and for ILD 0.4%, 0.5%, 0.6% and 0.3%. Projected incidence rates were 2.8, 3.4 and 1.8 times lower for asthma, COPD and ILD compared with observed rates at the height of the pandemic. Interpretation Asthma, COPD and ILD affect over 10 million people across the four nations, and a substantial number of diagnoses were missed during the pandemic. All data relevant to the study are included in the article or uploaded as supplementary information. The data used in this study are available in NHS England’s Secure Data Environment (SDE) service for England, but as restrictions apply, they are not publicly available (; ). The CVD-COVID-UK/COVID-IMPACT programme led by the BHF Data Science Centre (; ) received approval to access data in NHS England’s SDE service for England from the Independent Group Advising on the Release of Data (IGARD) () via an application made in the Data Access Request Service (DARS) Online system (ref. DARS-NIC-381078-Y9C5K) (). The CVD-COVID-UK/COVID-IMPACT Approvals & Oversight Board (; ) subsequently granted approval to this project to access the data within NHS England’s SDE service for England. The de-identified data used in this study were made available to accredited researchers only. Those wishing to gain access to the data should contact bhfdsc@hdruk.ac.uk in the first instance. The Northeast - Newcastle and North Tyneside 2 research ethics committee provided ethical approval for the CVD-COVID-UK/COVID-IMPACT research programme (REC No 20/NE/0161) to access, within secure SDE trusted research environments, unconsented, whole-population, de-identified data from EHR data collected as part of patients’ routine healthcare. Our analysis was performed according to a prespecific analysis plan published on GitHub, along with the phenotyping and analysis code (). To ensure anonymity and compliance with the NHSE SDE CVD-COVID-UK consortium rules of statistical disclosure, all reported numbers were rounded to the nearest 5. Counts less than 10 were expressed as '<10'. CPRD has NHS Health Research Authority (HRA) Research Ethics Committee (REC) approval to allow the collection and release of anonymised primary care data for observational research (NHS HRA REC reference number: 05/MRE04/87). Each year CPRD obtains Section 251 regulatory support through the HRA Confidentiality Advisory Group (CAG), to enable patient identifiers, without accompanying clinical data, to flow from CPRD contributing GP practices in England to NHSE, for the purposes of data linkage (CAG reference number: 21/CAG/0008). The protocol for this research was approved by CPRD’s Research Data Governance (RDG) Process (protocol number: 22\_001769) and the approved protocol is available upon request. Linked pseudonymised data was provided for this study by CPRD. Data is linked by NHSE, the statutory trusted third party for linking data, using identifiable data held only by NHSE. Select general practices consent to this process at a practice level with individual patients having the right to opt-out. All work conducted in SAIL Databank was completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) under project number 1387. Researchers can apply for the data and scripts within the SAIL trusted research environment, subject to the standard SAIL project application process (saildatabank.com/contact). The DataLoch work was reviewed and approved under the project number DL\_2022_054. The underlying DataLoch data are available as part of the DataLoch Respiratory Registry—a de-identified registry of linked respiratory data from the South-East Scotland region—which can be accessed by application to the DataLoch service (dataloch.org/connect-with-us). Accredited researchers could only access the de-identified HBS data used in this study by signing a Disclosure Policy Agreement and Research Data Access Agreement. The data was accessible from a secure location, the UK Secure e-Research Platform (UK SeRP). Ethical approval was not required for this study as it was facilitated via HBS. Consent was not required for this study as data was provided in anonymised format, the rights of individuals are respected with adequate privacy protection.
2004 年至 2023 年哮喘、慢性阻塞性肺病和间质性肺病的发病率和流行率:对英格兰、威尔士、苏格兰东南部和北爱尔兰纵向队列的统一分析
我们采用统一的方法描述了2004年至2023年英格兰、威尔士、苏格兰和北爱尔兰(NI)哮喘、慢性阻塞性肺疾病(COPD)和间质性肺疾病(ILD)的流行病学。方法使用来自英格兰国家卫生服务(NHSE)、英格兰临床实践研究数据链接库、威尔士安全匿名信息链接数据库、苏格兰东南部数据链接库和NI诚实经纪人服务的数据。对四个国家的COPD、哮喘和ILD病例定义、研究设计和研究人群进行了统一的方法。根据数据可得性,计算2004年至2023年间年龄-性别标准化发病率和点患病率。Logistic回归和负二项回归比较了每个研究期开始和结束时的发病率和患病率。线性外推法预测了2020年至2023年之间的发病率,以说明观察到的发病率和预测的发病率之间的差异。结果2019年哮喘发病率低于2005年(英国:发病率比0.89,95% CI 0.88 ~ 0.90;威尔士:0.66,0.65至0.68;苏格兰:0.67,0.64 - 0.71;NI: 0.84, 0.81 ~ 0.86), COPD(英国:0.83,0.82 ~ 0.85;威尔士:0.67,0.65至0.69),ILD更高(英格兰:3.27,3.05至3.50;威尔士:1.39,1.27到1.53;苏格兰:1.63,从1.36到1.95;NI: 3.03, 2.47至3.72)。在NHSE,哮喘的发病率在2023年6月与2019年11月相似,但COPD的发病率较低,ILD的发病率较高。2019年,英格兰、威尔士、苏格兰和NI的哮喘患病率分别为9.7%、15.9%、13.2%和7.0%,COPD患病率为4.5%、5.1%、4.4%和3.0%,ILD患病率为0.4%、0.5%、0.6%和0.3%。与大流行高峰期观察到的发病率相比,哮喘、慢性阻塞性肺病和ILD的预计发病率分别低2.8倍、3.4倍和1.8倍。在这四个国家,哮喘、慢性阻塞性肺病和ILD影响了1000多万人,在大流行期间,有相当数量的诊断被遗漏。所有与研究相关的数据都包含在文章中或作为补充信息上传。本研究中使用的数据可在英格兰NHS的安全数据环境(SDE)服务中获得,但由于限制,它们不能公开获取(;). 由BHF数据科学中心领导的CVD-COVID-UK/COVID-IMPACT项目(;)通过数据访问请求服务(DARS)在线系统(参考文献DARS- nic -381078- y9c5k)的申请,获得了数据发布独立咨询小组(IGARD)()对英国NHS英格兰SDE服务的数据访问批准。CVD-COVID-UK/COVID-IMPACT批准和监督委员会(;)随后批准了该项目,以访问英格兰NHS SDE服务中的数据。本研究中使用的去识别数据仅提供给经过认证的研究人员。希望访问这些数据的人应首先联系bhfdsc@hdruk.ac.uk。东北-纽卡斯尔和北泰恩赛德2号研究伦理委员会为CVD-COVID-UK/COVID-IMPACT研究计划(REC No . 20/NE/0161)提供了伦理批准,允许该计划在安全的SDE可信研究环境中访问作为患者常规医疗保健一部分收集的EHR数据中未经同意的、全人群的、去识别的数据。我们的分析是根据GitHub上发布的预特异性分析计划以及表型和分析代码()进行的。为确保匿名性并符合nse SDE CVD-COVID-UK联盟的统计披露规则,所有报告的数字都四舍五入到最接近的5。小于10的计数表示为“<10”。CPRD已获得NHS卫生研究管理局(HRA)研究伦理委员会(REC)的批准,允许收集和发布用于观察性研究的匿名初级保健数据(NHS HRA REC参考号:05/MRE04/87)。每年,CPRD通过HRA保密咨询小组(CAG)获得第251条监管支持,使患者标识符无需随附临床数据,就能从CPRD为英格兰全科医生实践提供数据链接(CAG参考编号:21/CAG/0008)。本研究的方案已获得CPRD研究数据治理(RDG)流程的批准(方案编号:22\_001769),经批准的方案可应要求提供。CPRD为本研究提供了相关的假名数据。数据由法定可信第三方NHSE链接,使用仅由NHSE持有的可识别数据。选择全科医生在实践层面同意这一过程,个别患者有权选择退出。在SAIL数据库中进行的所有工作都是在项目编号为1387的SAIL独立信息治理审查小组(IGRP)的许可和批准下完成的。 研究人员可以在SAIL可信的研究环境中申请数据和脚本,并遵循标准的SAIL项目申请流程(saildatabank.com/contact)。DataLoch工作在项目编号DL\_2022_054下进行了审查和批准。潜在的DataLoch数据可以作为DataLoch呼吸注册表的一部分使用,该注册表是来自东南苏格兰地区的链接呼吸数据的去识别注册表,可以通过DataLoch服务的应用程序访问(dataloch.org/connect-with-us)。通过认证的研究人员只能通过签署披露政策协议和研究数据访问协议来访问本研究中使用的去身份化的HBS数据。数据可以从一个安全的位置访问,即英国安全电子研究平台(UK SeRP)。这项研究不需要伦理批准,因为它是由哈佛商学院促成的。由于数据以匿名形式提供,因此本研究不需要征得同意,尊重个人权利并给予充分的隐私保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Thorax
Thorax 医学-呼吸系统
CiteScore
16.10
自引率
2.00%
发文量
197
审稿时长
1 months
期刊介绍: Thorax stands as one of the premier respiratory medicine journals globally, featuring clinical and experimental research articles spanning respiratory medicine, pediatrics, immunology, pharmacology, pathology, and surgery. The journal's mission is to publish noteworthy advancements in scientific understanding that are poised to influence clinical practice significantly. This encompasses articles delving into basic and translational mechanisms applicable to clinical material, covering areas such as cell and molecular biology, genetics, epidemiology, and immunology.
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