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在英国的早期关节炎诊所患者中预测持续性炎症性关节炎:是否需要进行肌肉骨骼超声检查?

Predicting persistent inflammatory arthritis amongst early arthritis clinic patients in the UK: is musculoskeletal ultrasound required?

出版信息

Arthritis Res Ther. 2013;15(5):R118. doi: 10.1186/ar4298.

Abstract

INTRODUCTION

Analyses of large clinical datasets from early arthritis cohorts permit the development of algorithms that may be used for outcome prediction in individual patients. The value added by routine use of musculoskeletal ultrasound (MSUS) in an early arthritis setting, as a component of such predictive algorithms, remains to be determined.

METHODS

The authors undertook a retrospective analysis of a large, true-to-life, observational inception cohort of early arthritis patients in Newcastle upon Tyne, UK, which included patients with inflammatory arthralgia but no clinically swollen joints. A pragmatic, 10-minute MSUS assessment protocol was developed, and applied to each of these patients at baseline. Logistic regression was used to develop two "risk metrics" that predicted the development of a persistent inflammatory arthritis (PIA), with or without the inclusion of MSUS parameters.

RESULTS

A total of 379 enrolled patients were assigned definitive diagnoses after ≥12 months follow-up (median 28 months), of whom 162 (42%) developed a persistent inflammatory arthritis. A risk metric derived from 12 baseline clinical and serological parameters alone had an excellent discriminatory utility with respect to an outcome of PIA (area under receiver operator characteristic (ROC) curve 0.91; 95% CI 0.88 to 0.94). The discriminatory utility of a similar metric, which incorporated MSUS parameters, was not significantly superior (area under ROC curve 0.91; 95% CI 0.89 to 0.94). Neither did this approach identify an added value of MSUS over the use of routine clinical parameters in an algorithm for discriminating PIA patients whose outcome diagnosis was rheumatoid arthritis (RA).

CONCLUSIONS

MSUS use as a routine component of assessment in an early arthritis clinic did not add substantial discriminatory value to a risk metric for predicting PIA.

摘要

简介

对早期关节炎队列的大型临床数据集进行分析,可以开发出用于预测个体患者结局的算法。在早期关节炎环境中,将肌肉骨骼超声(MSUS)常规用于此类预测算法中作为其组成部分,其增加的价值尚待确定。

方法

作者对英国泰恩河畔纽卡斯尔的一个大型、真实的、观察性的早期关节炎患者队列进行了回顾性分析,该队列包括有炎症性关节痛但无临床肿胀关节的患者。制定了一种实用的、十分钟的 MSUS 评估方案,并在这些患者的基线时应用于每位患者。使用逻辑回归来开发两种“风险指标”,以预测持续性炎症性关节炎(PIA)的发展,包括或不包括 MSUS 参数。

结果

共有 379 名入组患者在≥12 个月的随访后(中位随访 28 个月)被分配了明确的诊断,其中 162 名(42%)患者发展为持续性炎症性关节炎。单独使用 12 个基线临床和血清学参数的风险指标对于 PIA 结局具有出色的区分能力(接受者操作特征曲线(ROC)下面积 0.91;95%CI 0.88 至 0.94)。包含 MSUS 参数的类似指标的区分能力没有显著提高(ROC 下面积 0.91;95%CI 0.89 至 0.94)。这种方法也没有在区分结局为类风湿关节炎(RA)的 PIA 患者的算法中识别出 MSUS 相对于常规临床参数的附加价值。

结论

在早期关节炎诊所评估中,将 MSUS 常规用于评估并未为预测 PIA 的风险指标增加实质性的区分价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d893/3978649/387d6d96b117/ar4298-1.jpg

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