开发基于临床的评分系统,用于诊断儿童结核性脑膜炎
Setyo Handryastuti1, Dianing Latifah2, Evita Karianni Bermanshah1
1Department of Child Health, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.
Archives of disease in childhood
|August 8, 2023
概括
一个新的临床评分系统有助于在儿童中诊断结核性脑膜炎 (TBM),特别是在资源有限的地区. 该工具结合了系统和神经特征,以改善TBM预测.
科学领域:
- 儿科 儿科 儿科
- 传染性疾病 传染性疾病
- 临床诊断 临床诊断 临床诊断
背景情况:
- 在儿童中诊断结核性脑膜炎 (TBM) 很困难,原因是培养结果缓慢,资源有限的环境中成像访问有限.
- 目前的诊断方法缺乏敏感性和及时性,导致治疗延迟.
研究的目的:
- 开发和验证用于诊断儿科患者TBM的临床评分系统.
- 通过使用随时可用的临床信息来提高TBM诊断的准确性.
主要方法:
- 一个使用多变量预测模型的回顾性研究.
- 对印尼167名因脑膜炎住院儿童临床表现的分析.
- 基于统计学上显著的临床特征的评分系统的开发.
主要成果:
- 结合系统和神经特征的评分系统显示出良好的诊断性能.
- 系统特征 (切断值≥3) 显示AUC为0.89 (灵敏度为78.8%,特异性为86.6%).
- 综合得分预测TBM的敏感度为47.1%,特异性为95.1%,PPV为90.9%.
结论:
- 基于系统和神经特征的临床评分系统可以预测资源有限的环境中儿童的TBM.
- 建议在预期队列中进行进一步评估,以确认评分系统的有用性.
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