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确定癌症相关的肌肉骨症状与青少年异常性关节炎的特征并开发一个预测模型,以区分与青少年异常性关节炎相关的肌肉骨症状
Khwanjira Archawanantakul1, Soamarat Vilaiyuk2, Samart Pakakasama3
1Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Pediatric rheumatology online journal
|July 15, 2025
概括
一个新的预测模型有效地区分了与癌症相关的肌肉骨症状与儿童的青少年异常性关节炎. 这种工具有助于更早地诊断癌症,改善MSK投诉的儿科患者的治疗结果.
科学领域:
- 儿科风湿病学 儿科风湿病学
- 儿科瘤学 儿科瘤学
- 诊断工具 诊断工具 诊断工具
背景情况:
- 儿童的肌肉骨系统 (MSK) 症状可能源于青少年异常性关节炎 (JIA) 或恶性瘤,由于重叠的特征,存在诊断挑战.
- 及时诊断恶性瘤对于预防显著的发病率至关重要,强调需要有效的诊断辅助工具.
- 该ONCOREUM得分显示,有望区分JIA与关节病变的恶性瘤,但仅限于关节炎表现.
研究的目的:
- 在患有关节病的儿科患者中验证ONCOREUM得分.
- 开发和验证一个扩展的预测模型,以区分与癌症相关的MSK症状与儿科患者的JIA.
主要方法:
- 对被诊断患有癌症或JIA的儿科患者 (16岁以下) 的回顾性研究.
- 第一个阶段:评估了ONCOREUM得分识别癌症与关节病的能力.
- 第二阶段:开发了一种使用分步后勤回归的预测模型,以区分与癌症相关的MSK症状与JIA.
主要成果:
- 在ONCOREUM得分显示了88.5%的灵敏度和65.0%的特异性 (AUC 0.77) 的癌症与关节病变.
- 一个多变量模型包含背痛,夜间疼痛,四肢骨疼痛,白,早晨硬,附加性关节炎和单关节干扰,达到0.99的AUC (95% CI 0.98-0.99).
- 与癌症相关的MSK症状的关键预测因素包括夜间疼痛 (OR 789.97) 和四肢骨疼痛 (OR 24.11).
结论:
- 该ONCOREUM得分显示在患有关节病的儿科患者中识别癌症的实用性.
- 精细的预测模型提供了一个高度准确的临床工具,用于区分与癌症相关的MSK症状与儿童的JIA.
- 这种模型可以帮助临床医生区分严重的潜在疾病和JIA,从而减少诊断延迟.
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