儿童未知起源发烧病因的预测模型
Pannachet Rienvichit1, Butsabong Lerkvaleekul2, Nopporn Apiwattanakul3
1Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
European journal of pediatrics
|June 18, 2025
概括
诊断出源不明的儿科发烧 (FUO) 是一个挑战. 一个新的预测模型有效地区分了儿童的感染,自身免疫性疾病和恶性瘤,有助于临床决策.
科学领域:
- 儿科医学 儿科医学
- 临床流行病学临床流行病学
- 诊断的准确性 诊断的准确性
背景情况:
- 在儿童中诊断出源不明的发烧 (FUO) 存在重大挑战,需要区分传染性,自身免疫性和恶性病因.
- 准确的诊断对于及时和适当的治疗至关重要,影响患者的治疗结果.
研究的目的:
- 开发和验证用于确定儿科FUO病因学的预测模型.
- 帮助儿科医生在患有FUO的儿童中区分感染,自身免疫性疾病和恶性瘤.
主要方法:
- 对儿童 (1-18岁) 的医疗记录的回顾性审查,FUO持续时间≥7天 (2007-2023年).
- 数据收集包括临床和实验室参数.
- 用于模型构建和验证的多项逻辑回归和预测边际分析,通过接受器运行特征曲线 (AUC) 下面的面积评估性能.
主要成果:
- 在发育队列 (n=240) 中,FUO的原因包括感染 (32.5%),自身免疫性疾病 (34.2%) 和恶性瘤 (33.3%).
- 确定了自身免疫性疾病的关键预测因素包括关节炎和长期发烧 (>30天).
- 恶性瘤的预测因素包括腹壮大,淋巴腺病,严重贫血,血小板缩和长期发烧;咳与自身免疫性疾病和恶性瘤相反相关.
结论:
- 开发了一种经过验证的预测模型,以帮助区分儿科FUO的原因.
- 该模型在感染,自身免疫性疾病和恶性瘤方面显示出良好的诊断性能 (AUC从0.82到0.88不等).
- 该工具支持儿童FUO病例的数据驱动决策.
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