Use of Prognostication Instruments in Prognostication Procedures of Postanoxic Coma Patients over Time: A Retrospective Study

Author:

Daun Charlotte1,Ebert Anne1,Sandikci Vesile1ORCID,Britsch Simone2ORCID,Szabo Kristina1ORCID,Alonso Angelika1

Affiliation:

1. Department of Neurology, Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany

2. Department of Cardiology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany

Abstract

Background: Many survivors of cardiovascular arrest remain in a postanoxic coma. The neurologist’s task is to provide the most accurate assessment of the patient’s neurologic prognosis through a multimodal approach of clinical and technical tests. The aim of this study is to analyze differences and developments in the concept of neurological prognosis assessment and in-hospital outcome of patients over a five year-period. Methods: This retrospective observational study included 227 patients with postanoxic coma treated in the medical intensive care unit of the University Hospital, Mannheim from January 2016 to May 2021. We retrospectively analyzed patient characteristics, post-cardiac arrest care, and the use of clinical and technical tests for neurological prognosis assessment and patient outcome. Results: Over the observation period, 215 patients received a completed neurological prognosis assessment. Regarding the multimodal prognostic assessment, patients with poor prognosis (54%) received significantly fewer diagnostic modalities than patients with very likely poor (20.5%), indeterminate (24.2%), or good prognosis (1.4%; p = 0.001). The update of the DGN guidelines in 2017 had no effect on the number of performed prognostic parameters per patient. The finding of bilaterally absent pupillary light reflexes or severe anoxic injury on CT contributed most to a poor prognosis category (OR 8.38, 95%CI 4.01–7.51 and 12.93, 95%CI 5.55–30.13, respectively), whereas a malignant EEG pattern and NSE > 90 µg/L at 72 h resulted in the lowest OR (5.11, 95%CI 2.32–11.25, and 5.89, 95%CI 3.14–11.06, respectively) for a poor prognosis category. Assessment of baseline NSE significantly increased over the years (OR 1.76, 95%CI 1.4–2.22, p < 0.001), and assessment of follow-up NSE at 72 h trended to increase (OR 1.19, 95%CI 0.99–1.43, p = 0.06). In-hospital mortality was high (82.8%), remained unchanged over the observation period, and corresponded to the number of patients in whom life-sustaining measures were discontinued. Conclusions: Among comatose survivors of cardiac arrest, the prognosis remains poor. Prognostication of a poor outcome led nearly exclusively to withdrawal of care. Prognostic modalities varied considerably with regard to their contribution to a poor prognosis category. Increasing enforcement of a standardized prognosis assessment and standardized evaluation of diagnostic modalities are needed to avoid false–positive prognostication of poor outcomes.

Publisher

MDPI AG

Subject

General Medicine

Reference31 articles.

1. Brain Injury after Cardiac Arrest: Pathophysiology, Treatment, and Prognosis;Sandroni;Intensive Care Med.,2021

2. European Resuscitation Council Guidelines 2021: Epidemiology of Cardiac Arrest in Europe;Herlitz;Resuscitation,2021

3. Eureca One-27 Nations, One Europe, One Registry: A Prospective One Month Analysis of out-of-Hospital Cardiac Arrest Outcomes in 27 Countries in Europe;Lefering;Resuscitation,2016

4. Survival after out-of-Hospital Cardiac Arrest in Europe-Results of the Eureca Two Study;Wnent;Resuscitation,2020

5. Survival and Recovery of Consciousness in Anoxic-Ischemic Coma after Cardiopulmonary Resuscitation;Zandbergen;Intensive Care Med.,2003

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3