RT期刊文章SR电子T1受损的动态脑自动调整是肝性脑病严重恶化的预测(P4.295)摩根富林明神经病学神经学乔FD Lippincott Williams &威尔金斯SP P4.295 VO 90 15 A1埃里克·利奥塔补充A1 Leena托马斯A1凯蒂·拉哈伊A1 Shyam普拉巴卡兰A1 F首页arzaneh Sorond年2018 UL //www.ez-admanager.com/content/90/15_Supplement/P4.295.abstract AB目的:我们研究了动态脑自动调整(DCA)作为肝性脑病的生理生物标志物(他)严重程度。背景:虽然脑病与显著的长期的发病率和死亡率,很少有生物标志物用于评估脑病发作的严重程度和探测潜在的病理生理学。他是典型的toxic-metabolic脑病。我们假设在他预言他严重程度的DCA的破坏。设计/方法:我们前瞻性的住院患者明显的他。DCA评估使用传递函数分析(并获得阶段)的自发性动脉血压和脑血流速度波形振荡同时photoplethysmography及经颅多普勒超声检查,记录的分别。增长和下降阶段代表DCA受损。临床脑病并发严重程度是量化和24小时后DCA评估使用格拉斯哥昏迷评分(GCS)。系统性疾病严重程度量化使用顺序器官衰竭评估(沙发)。阶段之间的联系,获得和gc测定皮尔逊相关系数(r)。协会之间的一致性DCA和GCS重复评估是评估使用广义估计方程。结果:21例(50.0±13.1岁,平均入学率GCS 13(差7 - 14),中间沙发8 (IQR 6尺11寸))进行了研究。GCS DCA评估时没有与低或高频增益显著相关(r =−0.41, p = 0.068和r =−0.38, p = 0.086)。 However, both low and high frequency gain were associated with GCS 24 hours later (r=−0.62, p=0.003 and r=−0.59, p=0.005). Phase was not associated with GCS at either time point. Associations between gain and GCS 24 hours later remained significant in generalized estimating equations (low frequency β=−0.83, p=0.001; high frequency β=−1.10, p<0.001) after accounting for SOFA and GCS at the time of DCA evaluation.Conclusions: Impaired cerebral autoregulation may be a predictive biomarker of worsening HE severity. Further studies are needed to confirm our findings.Study Supported by: Research was supported by the National Institutes of Health’s National Center for Advancing Translational Sciences, Grant Number KL2TR001424, and the National Institutes of Health, Grant Number L30 NS098427.Disclosure: Dr. Liotta has nothing to disclose. Dr. Thomas has nothing to disclose. Dr. LaHaye has nothing to disclose. Dr. Prabhakaran has nothing to disclose. Dr. Sorond has nothing to disclose.

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