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骨关节炎合并症(ComOA):在四个欧洲国家使用大型电子健康记录进行的联合横断面、病例对照和队列研究。

Comorbidities in osteoarthritis (ComOA): a combined cross-sectional, case-control and cohort study using large electronic health records in four European countries.

机构信息

Academic Rheumatology, University of Nottingham School of Medicine, Nottingham, UK.

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

出版信息

BMJ Open. 2022 Apr 6;12(4):e052816. doi: 10.1136/bmjopen-2021-052816.

Abstract

INTRODUCTION

Osteoarthritis (OA) is one of the leading chronic conditions in the older population. People with OA are more likely to have one or more other chronic conditions than those without. However, the temporal associations, clusters of the comorbidities, role of analgesics and the causality and variation between populations are yet to be investigated. This paper describes the protocol of a multinational study in four European countries (UK, Netherlands, Sweden and Spain) exploring comorbidities in people with OA.

METHODS AND ANALYSIS

This multinational study will investigate (1) the temporal associations of 61 identified comorbidities with OA, (2) the clusters and trajectories of comorbidities in people with OA, (3) the role of analgesics on incidence of comorbidities in people with OA, (4) the potential biomarkers and causality between OA and the comorbidities, and (5) variations between countries.A combined case-control and cohort study will be conducted to find the temporal association of OA with the comorbidities using the national or regional health databases. Latent class analysis will be performed to identify the clusters at baseline and joint latent class analysis will be used to examine trajectories during the follow-up. A cohort study will be undertaken to evaluate the role of non-steroidal anti-inflammatory drugs (NSAIDs), opioids and paracetamol on the incidence of comorbidities. Mendelian randomisation will be performed to investigate the potential biomarkers for causality between OA and the comorbidities using the UK Biobank and the Rotterdam Study databases. Finally, a meta-analyses will be used to examine the variations and pool the results from different countries.

ETHICS AND DISSEMINATION

Research ethics was obtained according to each database requirement. Results will be disseminated through the FOREUM website, scientific meetings, publications and in partnership with patient organisations.

摘要

简介

骨关节炎(OA)是老年人群中主要的慢性疾病之一。患有 OA 的人比没有 OA 的人更有可能患有一种或多种其他慢性疾病。然而,这些共存疾病的时间关联、聚类、镇痛药的作用以及人群之间的因果关系和变化仍有待研究。本文描述了一项在四个欧洲国家(英国、荷兰、瑞典和西班牙)进行的多国研究的方案,该研究旨在探索 OA 患者的合并症。

方法和分析

这项多国研究将调查:1)61 种已确定的合并症与 OA 的时间关联;2)OA 患者合并症的聚类和轨迹;3)镇痛药对 OA 患者合并症发病率的作用;4)OA 和合并症之间的潜在生物标志物和因果关系;5)国家之间的差异。将进行一项联合病例对照和队列研究,使用国家或地区卫生数据库来寻找 OA 与合并症的时间关联。使用潜在类别分析来确定基线的聚类,使用联合潜在类别分析来检查随访期间的轨迹。将进行一项队列研究,以评估非甾体抗炎药(NSAIDs)、阿片类药物和对乙酰氨基酚对合并症发病率的作用。使用英国生物库和鹿特丹研究数据库,进行孟德尔随机化研究,以调查 OA 和合并症之间的潜在生物标志物的因果关系。最后,将使用荟萃分析来检查不同国家之间的差异并汇总结果。

伦理和传播

根据每个数据库的要求获得了研究伦理。研究结果将通过 FOREUM 网站、科学会议、出版物以及与患者组织的合作进行传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b38/8987784/d7bf33c7665b/bmjopen-2021-052816f01.jpg

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