Quantitative pupillometry and transcranial Doppler measurements in patients treated with hypothermia after cardiac arrest

被引:46
作者
Heimburger, Delphine [1 ]
Durand, Michel [1 ]
Gaide-Chevronnay, Lucie [1 ]
Dessertaine, Geraldine [1 ]
Moury, Pierre-Henri [1 ]
Bouzat, Pierre [1 ,3 ,4 ]
Albaladejo, Pierre [1 ,2 ]
Payen, Jean-Francois [1 ,3 ,4 ]
机构
[1] CHU Grenoble Alpes, Pole Anesthesie Reanimat, F-38000 Grenoble, France
[2] Univ Grenoble Alpes, CNRS TIMC IMAG UMR, ThEMAS 5225, F-38000 Grenoble, France
[3] Univ Grenoble Alpes, Grenoble Inst Neurosci, GIN, F-38000 Grenoble, France
[4] INSERM, U1216, F-38000 Grenoble, France
关键词
Heart arrest; Hypothermia; Induced; Patient outcome assessment; Reflex; Pupillary; Transcranial Doppler sonography; CEREBRAL-BLOOD-FLOW; CARDIOPULMONARY-RESUSCITATION; THERAPEUTIC HYPOTHERMIA; COMATOSE SURVIVORS; LIGHT REFLEX; INFRARED PUPILLOMETRY; PREDICTION; PROGNOSTICATION; AUTOREGULATION; METAANALYSIS;
D O I
10.1016/j.resuscitation.2016.02.026
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Predicting outcome after cardiac arrest (CA) is particularly difficult when therapeutic hypothermia (TH) is used. We investigated the performance of quantitative pupillometry and transcranial Doppler (TCD) in this context. Methods: This prospective observational study included 82 post-CA patients. Quantitative assessment of pupillary light reflex (PLR) and TCD measurements of the two middle cerebral arteries were performed at admission (day 1) and after 24 h (day 2) during TH (33-35. degrees C) and sedation. Neurological outcome was assessed at 3 months using cerebral performance category (CPC) scores; patients were classified as having good (CPC 1-2) or poor (CPC 3-5) outcome. Prognostic performance was analyzed using area under the receiver operating characteristic curve (AUC-ROC). Results: Patients with good outcome (n = 27) had higher PLR amplitude than patients with poor outcome (n = 55) both at day 1, 13% (10-18) (median, 25th-75th percentile) vs. 8% (2-11) (P < 0.001), and at day 2, 17% (13-20) vs. 8% (5-13) (P < 0.001), respectively. The AUC-ROC curves at days 1 and 2 were 0.76 (95% confidence interval [CI] 0.65-0.86) and 0.82 (95% CI 0.73-0.92), respectively. The best cut-off values of PLR amplitude to predict a 3-month poor outcome were < 9% and < 11%, respectively. A PLR amplitude of < 7% at day 2 predicted a 3-month poor outcome with a specificity of 100% (95% CI 86-100) and a sensitivity of 42% (95% CI 28-58). No differences in TCD measurements were found between the two patient groups. Conclusion: PLR measurements might be informative in the prediction of outcome of post-CA patients even under sedation and hypothermia. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:88 / 93
页数:6
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