英国 CPRD Aurum 数据库和 CPRD GOLD 数据库中记录的类风湿关节炎信息比较(配套文件 3)

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2023-12-16 DOI:10.2147/clep.s434831
Catherine Vasilakis-Scaramozza, Katrina Wilcox Hagberg, Rebecca Persson, George Kafatos, Joe Maskell, David Neasham, Susan Jick
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引用次数: 0

摘要

目的:报告临床实践研究数据链(CPRD)Aurum 与之前经过验证的 CPRD GOLD 数据库中记录的类风湿关节炎(RA)诊断相关代码的分布情况,作为决定 CPRD Aurum 是否适合医学研究的关键一步:我们通过选择 RA 诊断、治疗和临床护理的相关指标,分析了新的 CPRD Aurum 数据库与 CPRD GOLD 数据库中 RA 诊断、化验和治疗代码的分布情况。我们将英格兰所有在2005年1月1日或之后获得RA事件诊断代码且在首次RA诊断前至少有两年数据记录的患者纳入CPRD Aurum和CPRD GOLD数据库:我们在 CPRD Aurum 和 CPRD GOLD 中分别发现了 53083 名和 18167 名有 RA 新诊断代码的患者。在这两个数据库中,约 67% 为女性,首次诊断时的平均年龄相似。两个数据源中与RA相关的记录模式差异不大。在首次确诊RA之前,CPRD Aurum患者有更多的RA特异性实验室检查和其他辅助临床代码。确诊后,与 CPRD GOLD 患者相比,CPRD Aurum 患者有更多的 RA 诊断编码,更经常有 10 个以上的一般 RA 化验。与CPRD Aurum相比,更多的CPRD GOLD患者拥有10种以上的传统改变病情抗风湿药物(cDMARD)处方。除此之外,两个数据库中治疗RA的药物分布情况相似。不同数据库的RA标准化发病率相似:总体而言,在有 RA 诊断代码的患者中,CPRD Aurum 和 CPRD GOLD 的诊断、处方药和实验室记录相似。虽然在一些变量上发现了细微差别,但总体而言,我们发现两个数据库之间是一致的。此外,两个数据库的RA标准化发病率也相似:临床实践研究数据链 CPRD Aurum CPRD GOLD 验证 数据质量
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Comparison of Rheumatoid Arthritis Information Recorded in UK CPRD Aurum and CPRD GOLD Databases (Companion Paper 3)
Purpose: To report distribution of codes associated with a rheumatoid arthritis (RA) diagnosis recorded in Clinical Practice Research Datalink (CPRD) Aurum compared to the previously validated CPRD GOLD database as a critical step toward making decisions about CPRD Aurum’s suitability for medical research.
Patients and Methods: We analyzed the distribution of codes for RA diagnoses, labs, and treatments in the new CPRD Aurum database, compared to the CPRD GOLD database by selecting relevant indicators of RA diagnosis, treatment, and clinical care. We included all patients in England in CPRD Aurum and CPRD GOLD with an incident diagnosis code for RA on or after 1 January 2005 and at least two years recorded data before first RA diagnosis.
Results: We found 53,083 and 18,167 patients with a new diagnosis code for RA in CPRD Aurum and CPRD GOLD, respectively. In both databases approximately 67% were female with similar mean ages at first diagnosis. There were few differences in RA-related recording patterns between the two data sources. Before first RA diagnosis, CPRD Aurum patients had more RA-specific labs and other supporting clinical codes. After diagnosis, CPRD Aurum patients had more RA diagnoses coded and more often had 10+ general RA labs than patients in CPRD GOLD. More CPRD GOLD patients had 10+ prescriptions for conventional disease-modifying antirheumatic drugs (cDMARD) compared to CPRD Aurum. Otherwise, the distribution of drugs used to treat RA was similar between databases. The standardized incidence of RA was similar between databases.
Conclusion: Overall, among patients with a diagnosis code for RA, recording of diagnoses, prescription drugs, and labs were similar between CPRD Aurum and CPRD GOLD. Slight differences were found for a few variables, but overall, we found consistency between the databases. In addition, standardized incidence of RA was similar between databases.

Keywords: Clinical Practice Research Datalink, CPRD Aurum, CPRD GOLD, validation, data quality
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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