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类风湿关节炎的合并症指数:是时候思考了。

Co-morbidity index in rheumatoid arthritis: time to think.

作者信息

El Miedany Yasser

机构信息

Rheumatology and Rehabilitation, Ain Shams University Egypt, Cairo, Egypt.

King's College London, London, UK.

出版信息

Clin Rheumatol. 2015 Dec;34(12):1995-2000. doi: 10.1007/s10067-015-3101-0. Epub 2015 Oct 26.

Abstract

Rheumatoid arthritis patients are clinically complex, and the interplay of their disease activity together with the other associated conditions may lead to increased morbidity and mortality. The recent advances in the disease management attracted the attention to its associated co-morbidities and highlighted the need for a tool to provide clinicians and potential payers with a clinically powerful measure of the disease burden and prognosis. Predicting outcome or co-morbidity probability has been previously implemented successfully for calculating 10-year fracture probability (FRAX) as well as for predicting 1-year patient mortality using co-morbidity data obtained (Charlson index). Developing a specific rheumatoid arthritis-independent tool able to predict morbidity, mortality, cost and hospitalization would be a step forward on the way to achieve full disease remission. The co-morbidity index should be used both at baseline as well as a continuous variable in analyses. It should be implemented regularly in the clinical assessment as a confounder of outcomes. This article will review the redefined health outcomes in rheumatoid arthritis and the concept of co-morbidity index for patients with inflammatory arthritis. It will also present a proposed co-morbidity index for rheumatoid arthritis patients.

摘要

类风湿关节炎患者的临床情况复杂,其疾病活动与其他相关病症之间的相互作用可能导致发病率和死亡率上升。疾病管理方面的最新进展引发了对其合并症的关注,并凸显了需要一种工具,为临床医生和潜在支付方提供一种对疾病负担和预后具有强大临床意义的衡量指标。此前,预测结果或合并症概率已成功应用于计算10年骨折概率(FRAX)以及使用所获得的合并症数据(查尔森指数)预测1年患者死亡率。开发一种能够预测发病率、死亡率、成本和住院情况的特定类风湿关节炎独立工具,将是朝着实现疾病完全缓解迈出的一步。合并症指数应在基线时以及在分析中作为连续变量使用。它应在临床评估中定期作为结果的混杂因素实施。本文将回顾类风湿关节炎中重新定义的健康结果以及炎症性关节炎患者的合并症指数概念。它还将提出一种针对类风湿关节炎患者的合并症指数。

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