常规脑脊液参数的特定模式可能有助于识别西尼罗病毒神经侵入性疾病的病例
Johann Otto Pelz1, Christoph Mühlberg1, Isabel Friedrich1
1Department of Neurology, University Hospital Leipzig, 04103 Leipzig, Germany.
Viruses
|March 28, 2024
概括
在脑膜炎/脑炎 (ME) 中确定特定的病毒至关重要. 常规脑脊液 (CSF) 分析和患者数据可以准确预测西尼罗河病毒 (WNV) ME,帮助诊断.
科学领域:
- 神经学 神经学
- 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:
- 病毒性脑膜炎/脑炎 (ME) 是一种严重的神经疾病,需要及时诊断以获得有效的治疗和公共卫生措施.
- 尽管进行了全面的测试,但病毒性ME病例的很大一部分仍未被诊断出来,这凸显了改善诊断策略的必要性.
研究的目的:
- 在病毒性ME病例中分析人口统计,季节性和脑脊液 (CSF) 参数.
- 评估这些参数在预测病毒性ME中致病病毒的有用性.
主要方法:
- 在156例病毒性ME病例中,对人口统计数据,季节性和常规CSF参数 (白细胞,细胞分化,白蛋白比率,免疫球蛋白比率) 的回顾性分析.
- 应用多名式逻辑回归来评估这些参数,年龄和特定病毒病因的季节性预测准确度.
主要成果:
- 在59.6%的病例中发现了特定的病毒感染,肠道病毒,VZV和HSV是常见的. 41%的病例病毒病因不明.
- 西尼罗河病毒 (WNV) ME病例的特点是年龄较大,男性占主导地位,血液-中枢神经液屏障受损,中性神经液和脑内IgM合成.
- 预测准确度对WNV (87.5%) 最高,其次是未知病因 (66.7%),VZV (61.8%) 和肠道病毒 (51.9%).
结论:
- 常规的CSF参数和人口统计数据在WNV ME中呈现出明显的模式,使其能够准确识别.
- 这些发现可以指导病毒性ME的诊断工作,特别是促进早期检测WNV病例.
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