Development of a simple diagnostic tool predicting the aseptic nature of a joint effusion: a pragmatic pilot study.

IF 2 Q2 MEDICINE, GENERAL & INTERNAL
Diagnosis Pub Date : 2025-09-12 DOI:10.1515/dx-2025-0041
Arthur Vrignaud, Guillaume Direz, Amélie Denis, Emmanuelle Dernis
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引用次数: 0

Abstract

Objectives: Among all of the swollen joints undergoing an aspiration in primary care, approximately 92 % are of nonseptic cause. This study therefore sought to develop a predictive model, based on simple clinical and paraclinical data, with the aim of predicting the aseptic nature of joint effusion.

Methods: This is a cohort, prospective, monocentric study. Some explanatory variables were predetermined on the basis of the literature review. A predictive model has been established based on these variables. In order to prioritise the negative predictive value, a cut-off point considering the best specificity for an observed sensitivity greater than or equal to 98 % was retained.

Results: A total of 328 participants, 49.1 % of whom were women, were included in this study, with a median age of 69 years. The median duration of evolution of joint effusion before the puncture was 30 days. Joint fluid had inflammatory characteristics in 46.0 % of cases and 8 septic arthritis were identified. The area under the receiver operating characteristic (ROC) curve of the predictive model was evaluated at 0.93. The model includes the maximum temperature, the polyarticular nature of the clinical picture and the macroscopic appearance of the joint fluid.

Conclusions: This study made it possible to develop a simple and easily accessible predictive model in a primary care setting. This tool could make it possible to exclude a priori the septic aetiology of one out of four native joint effusions. Its performances remain to be determined on an independent population in a subsequent study (confirmation cohort in progress).

一个简单的诊断工具的发展预测无菌性质的关节积液:一个实用的试点研究。
目的:在所有在初级保健中接受抽吸的肿胀关节中,大约92 %是由非感染性原因引起的。因此,本研究试图建立一种基于简单临床和临床旁数据的预测模型,目的是预测关节积液的无菌性。方法:这是一项队列、前瞻性、单中心研究。在文献回顾的基础上,预先确定了一些解释变量。基于这些变量建立了预测模型。为了优先考虑阴性预测值,考虑观察到的灵敏度大于或等于98 %的最佳特异性的截断点被保留。结果:共有328名参与者,其中49.1% %为女性,纳入本研究,中位年龄为69岁。穿刺前关节积液演变的中位持续时间为30天。46.0%( %)患者关节液有炎症特征,其中8例为脓毒性关节炎。预测模型的受试者工作特征(ROC)曲线下面积为0.93。该模型包括最高温度、临床图像的多关节性和关节液的宏观外观。结论:这项研究使得在初级保健环境中建立一个简单且易于获取的预测模型成为可能。该工具可以排除先天的脓毒性病因的四分之一的原生关节积液。在随后的研究中,其在独立人群中的表现仍有待确定(确认队列正在进行中)。
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来源期刊
Diagnosis
Diagnosis MEDICINE, GENERAL & INTERNAL-
CiteScore
7.20
自引率
5.70%
发文量
41
期刊介绍: Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality.  Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error
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