开发一种查算法,用于肺部疾病的系统性青少年异常性关节炎
Holly Wobma1, Ronny Bachrach2, Joseph Farrell2
1Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
ACR open rheumatology
|September 9, 2023
概括
一个新的算法有助于选肺部疾病 (LD) 在系统性青少年异常性关节炎 (sJIA). 该工具使用"红旗"临床特征来识别有风险的患者,用于早期检测和管理sJIA-LD.
科学领域:
- 儿科风湿病学 儿科风湿病学
- 肺部病理学 肺部病理学
- 临床算法开发 临床算法开发
背景情况:
- 肺部疾病 (LD) 是系统性青少年异常性关节炎 (sJIA) 的一个显著且不断增长的并发症.
- 目前的临床实践缺乏在sJIA患者肺部查的确立指南.
- 在sJIA中早期发现LD对于及时干预和改善患者结果至关重要.
研究的目的:
- 为患有sJIA的患者开发标准化肺部查算法.
- 建立基于共识的建议,用于识别患有LD风险增加的sJIA患者.
- 为指导肺部工作和监测的sJIA患者与潜在的肺部参与.
主要方法:
- 召集了一个多学科工作组,包括风湿病学,肺部,干细胞移植专家和患者家属.
- 采用了经过修改的Delphi方法,多轮匿名投票和共识会议.
- 根据现有的文献和机构经验,起草并完善了一个算法.
主要成果:
- 在20个被认为适合选算法的陈述上达成共识.
- 该算法识别了需要肺部查的sJIA患者,基于特定的肺部查.
- 红旗的特征. 红旗的特征. 红旗的特征.
- 这些特征包括基线特征,疾病活动标志物,呼吸系统症状和药物过敏指标.
- 在推的肺部诊断和监测策略上达成共识.
结论:
- 成功开发了一种针对sJIA相关的肺病 (sJIA-LD) 的新型肺查算法.
- 该算法是通过一个协作,多学科的共识过程创建的.
- 随着对sJIA-LD的理解的进步,该算法将受到修订.
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