重症儿童的定期出院:预测因素和结果
France W Fung1,2, Darshana S Parikh1, Shavonne L Massey1,2
1Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
概括
在重症儿童中,一般化周期性出院 (GPD) 和双边独立周期性出院 (BIPD) 与不良结果,包括死亡率有关. 侧面周期性放出 (LPDs) 与不良结果无关.
科学领域:
- 神经科学是一个神经科学.
- 关键护理医学 关键护理医学
- 儿科神经学 儿科神经学
背景情况:
- 周期性放出 (PDs) 是一种在重症患者中观察到的EEG模式.
- 了解不同PD类型的临床和EEG特征对于预后至关重要.
研究的目的:
- 确定与一般定期放电 (GPD),横向定期放电 (LPD) 和双边独立定期放电 (BIPD) 相关的临床和EEG特征.
- 确定这些EEG模式与重症儿童的结果之间的关联.
主要方法:
- 对接受持续EEG监测的重症儿童进行前性观察研究.
- 对GPD,LPD和BIPD的标准化评分.
- 评估与死亡率的关联,格拉斯哥结论尺度扩展的儿科版本 (GOS-E-Peds) 和儿科大脑性能类别 (PCPC).
主要成果:
- PDs发生在7%的受试者身上.
- 昏迷和异常的EEG背景增加了GPD的风险.
- 与死亡率相关的GPD;与死亡率相关的BIPD和不利的GOS-E-Peds和PCPC结果.
- 腰部病变与死亡率或不良结果无关;在急性非结构性脑病变中没有发现.
结论:
- 昏迷和异常的EEG背景预测了GPD和BIPD.
- GPD与死亡率有关,而BIPD则表明死亡率和神经学结果不佳.
- 在这个人群中,LPD似乎与不良结果无关.
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