Protocol-driven neurological prognostication and withdrawal of life-sustaining therapy after cardiac arrest and targeted temperature management.

Resuscitation(2017)

引用 76|浏览24
暂无评分
摘要
Background: Brain injury is reportedly the main cause of death for patients resuscitated after out-of-hospital cardiac arrest (OHCA). However, the majority may actually die following withdrawal of life-sustaining therapy (WLST) with a presumption of poor neurological recovery. We investigated how the protocol for neurological prognostication was used and how related treatment recommendations might have affected WLST decision-making and outcome after OHCA in the targeted temperature management (TTM) trial. Methods: Analyses of prospectively recorded data: details of neurological prognostication; recommended level-of-care; WLST decisions; presumed cause of death; and cerebral performance category (CPC) 6 months following randomization. Results: Of 939 patients, 452 (48%) woke and 139 (15%) died, mostly for non-neurological reasons, before a scheduled time point for neurological prognostication (72 h after the end of TTM). Three hundred and thirteen (33%) unconscious patients underwent prognostication at a median 117 (IQR 93-137) hours after arrest. Thirty-three (3%) unconscious patients were not neurologically prognosticated and for 2 patients (1%) data were missing. Related care recommendations were: continue in 117 (37%); not escalate in 55 (18%); and withdraw in 141 (45%). WLST eventually occurred in 196 (63%) at median day 6 (IQR 5-8). At 6 months, only 2 patients with WLST were alive and 248 (79%) of prognosticated patients had died. There were significant differences in time to WLST and death after the different recommendations (log rank <0.001). Conclusion: Delayed prognostication was relevant for a minority of patients and related to subsequent decisions on level-of-care with effects on ICU length-of-stay, survival time and outcome. (C) 2017 Elsevier B.V. All rights reserved.
更多
查看译文
关键词
Cardiac arrest,Target temperature management,Neurological prognostication,Withdrawal of life-sustaining therapy,Outcome
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要