The role of cEEG as a predictor of patient outcome and survival in patients with intraparenchymal hemorrhages.
The role of cEEG as a predictor of patient outcome and survival in patients with intraparenchymal hemorrhages.
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DOI：
10.1016/j.seizure.2018.08.014
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发表时间：
2018-10
期刊：
影响因子：
--
通讯作者：
Lee JW
中科院分区：
文献类型：
--
作者：
Purandare M;Ehlert AN;Vaitkevicius H;Dworetzky BA;Lee JW
本研究的目的是确定连续脑电图（cEEG）结果是否与脑实质内出血（IPH）危重患者的功能结局和生存率相关。使用波士顿布里格姆妇女医院的重症监护EEG监测联盟数据库选择诊断为IPH的患者。计算原发性脑出血患者的功能结局（FICH）评分和脑出血（ICH）评分作为协变量。关注的结局为功能结局（改良兰金量表[mRS] <3 vs ≥3）和出院时死亡率。根据美国临床神经生理学会标准术语定义，在考虑已知临床协变量后，评估cEEG特征与结局的相关性。共选择了2013年3月至2015年12月期间收治的94例患者。多变量回归分析显示，在校正FUNC（p=0.0080）和ICH（p=0.0088）后，II期睡眠的存在与出院时良好的功能结局独立相关。EEG中前后（AP）梯度的缺失与校正FHF（p=0.013）和ICH（p=0.019）评分后出院时死亡率的可能性增加相关。即使在考虑了已知的临床和放射学协变量后，cEEG指标与IPH患者的功能和死亡率结局指标显著相关。需要进一步的研究，以确定是否包括cEEG功能的预测模型得到改善。
The objective of this study was to determine if continuous electroencephalography (cEEG) results are associated with functional outcome and survival in critically ill patients with intraparenchymal hemorrhages (IPH). Patients diagnosed with IPH were selected using a Critical Care EEG Monitoring Consortium Database at Brigham and Women’s Hospital in Boston. Functional Outcome in Patients with Primary Intracerebral Hemorrhage (FUNC) scores and Intracerebral Hemorrhage (ICH) scores were calculated as covariates. Outcomes of interest were functional outcome (modified Rankin scale [mRS] <3 vs ≥3) and mortality at hospital discharge. cEEG features, as defined by the American Clinical Neurophysiology Society standard terminology, were assessed for association with outcome after accounting for known clinical covariates. A total of 94 patients admitted between March 2013 and December 2015 were selected. Multivariate regression analysis revealed that the presence of Stage II Sleep is independently associated with good functional outcome at discharge after correcting for FUNC (p=0.0080) and ICH (p=0.0088). The absence of anteroposterior (AP) gradient in an EEG is associated with increased likelihood of mortality at discharge after correcting for FUNC (p=0.013) and ICH (p=0.019) scores. cEEG measures were significantly associated with functional and mortality outcome measures in patients with IPH even after accounting for known clinical and radiological covariates. Further research is needed to determine whether prediction models are improved by inclusion of cEEG features.
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影响因子：
5.6
作者：
Alvarez V;Drislane FW;Westover MB;Dworetzky BA;Lee JW
通讯作者：
Lee JW
影响因子：
8.3
作者：
Hemphill, JC;Bonovich, DC;Johnston, SC
通讯作者：
Johnston, SC
DOI：
10.1097/wnp.0000000000000230
发表时间：
2016-04
期刊：
Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
影响因子：
--
作者：
Lee JW;LaRoche S;Choi H;Rodriguez Ruiz AA;Fertig E;Politsky JM;Herman ST;Loddenkemper T;Sansevere AJ;Korb PJ;Abend NS;Goldstein JL;Sinha SR;Dombrowski KE;Ritzl EK;Westover MB;Gavvala JR;Gerard EE;Schmitt SE;Szaflarski JP;Ding K;Haas KF;Buchsbaum R;Hirsch LJ;Wusthoff CJ;Hopp JL;Hahn CD;Critical Care EEG Monitoring Research Consortium (CCEMRC)
通讯作者：
Critical Care EEG Monitoring Research Consortium (CCEMRC)
影响因子：
8.3
作者：
Rost, Natalia S.;Smith, Eric E.;Rosand, Jonathan
通讯作者：
Rosand, Jonathan
影响因子：
2
作者：
Heinze, Georg
通讯作者：
Heinze, Georg