Literature DB >> 28687281

Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management.

Marion Moseby-Knappe1, Tommaso Pellis2, Irina Dragancea3, Hans Friberg4, Niklas Nielsen5, Janneke Horn6, Michael Kuiper7, Andrea Roncarati8, Roger Siemund9, Johan Undén10, Tobias Cronberg3.   

Abstract

INTRODUCTION: A multimodal approach to prognostication of outcome after cardiac arrest (CA) is recommended. Evidence for combinations of methods is low. In this post-hoc analysis we described findings on head computed tomography (CT) after CA. We also examined whether generalised oedema on CT alone or together with the biomarker Neuron-specific enolase (NSE) could predict poor outcome.
METHODS: Patients participating in the Target Temperature Management after out-of-hospital-cardiac-arrest-trial underwent CT based on clinical indications. Findings were divided into pre-specified categories according to local radiologists descriptions. Generalised oedema alone and in combination with peak NSE at either 48h or 72h was correlated with poor outcome at 6 months follow-up using the Cerebral Performance Category (CPC 3-5).
RESULTS: 356/939 (37.9%) of patients underwent head CT. Initial CT≤24h after CA was normal in 174/218 (79.8%), whilst generalised oedema was diagnosed in 21/218 (9.6%). Between days 1-7, generalised oedema was seen in 65/143 (45.5%), acute/subacute infarction in 27/143 (18.9%) and bleeding in 9/143 (6.3%). Overall, generalised oedema predicted poor outcome with 33.6% sensitivity (95%CI:28.1-39.5) and 98.4% specificity (95%CI:94.3-99.6), whilst peak NSE demonstrated sensitivities of 61.5-64.8% and specificity 95.7% (95%CI:89.5-98.4). The combination of peak NSE>38ng/l and generalised oedema on CT predicted poor outcome with 46.0% sensitivity (95%CI:36.5-55.8) with no false positives. NSE was significantly higher in patients with generalised oedema.
CONCLUSION: In this study, generalised oedema was more common >24h≤7d after CA. The combination of CT and NSE improved sensitivity and specificity compared to CT alone, with no false positives in this limited population.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Computed tomography; Generalised oedema; Neuron-specific enolase; Outcome; Prognostication; TTM

Mesh:

Substances:

Year:  2017        PMID: 28687281     DOI: 10.1016/j.resuscitation.2017.06.027

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  18 in total

1.  The Use of Gray-White-Matter Ratios May Help Predict Survival and Neurological Outcomes in Patients Resuscitated From Out-of-Hospital Cardiac Arrest.

Authors:  Huang-Fu Yeh; Hooi-Nee Ong; Bo-Ching Lee; Chien-Hua Huang; Chun-Chieh Huang; Wei-Tien Chang; Wen-Jone Chen; Min-Shan Tsai
Journal:  J Acute Med       Date:  2020-06-01

2.  Timing of brain computed tomography for predicting neurological prognosis in comatose cardiac arrest survivors: a retrospective observational study.

Authors:  Gan-Nan Wang; Zhong-Man Zhang; Wen Chen; Xiao-Quan Xu; Jin-Song Zhang
Journal:  World J Emerg Med       Date:  2022

3.  Can Optic Nerve Sheath Images on a Thin-Slice Brain Computed Tomography Reconstruction Predict the Neurological Outcomes in Cardiac Arrest Survivors?

Authors:  Sung Ho Kwon; Sang Hoon Oh; Jinhee Jang; Soo Hyun Kim; Kyu Nam Park; Chun Song Youn; Han Joon Kim; Jee Yong Lim; Hyo Joon Kim; Hyo Jin Bang
Journal:  J Clin Med       Date:  2022-06-26       Impact factor: 4.964

Review 4.  Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review.

Authors:  Claudio Sandroni; Sonia D'Arrigo; Sofia Cacciola; Cornelia W E Hoedemaekers; Marlijn J A Kamps; Mauro Oddo; Fabio S Taccone; Arianna Di Rocco; Frederick J A Meijer; Erik Westhall; Massimo Antonelli; Jasmeet Soar; Jerry P Nolan; Tobias Cronberg
Journal:  Intensive Care Med       Date:  2020-09-11       Impact factor: 17.440

5.  Serum Neurofilament Light Chain for Prognosis of Outcome After Cardiac Arrest.

Authors:  Marion Moseby-Knappe; Niklas Mattsson; Niklas Nielsen; Henrik Zetterberg; Kaj Blennow; Josef Dankiewicz; Irina Dragancea; Hans Friberg; Gisela Lilja; Philip S Insel; Christian Rylander; Erik Westhall; Jesper Kjaergaard; Matt P Wise; Christian Hassager; Michael A Kuiper; Pascal Stammet; Michael C Jaeger Wanscher; Jørn Wetterslev; David Erlinge; Janneke Horn; Tommaso Pellis; Tobias Cronberg
Journal:  JAMA Neurol       Date:  2019-01-01       Impact factor: 18.302

6.  European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care.

Authors:  Jerry P Nolan; Claudio Sandroni; Bernd W Böttiger; Alain Cariou; Tobias Cronberg; Hans Friberg; Cornelia Genbrugge; Kirstie Haywood; Gisela Lilja; Véronique R M Moulaert; Nikolaos Nikolaou; Theresa Mariero Olasveengen; Markus B Skrifvars; Fabio Taccone; Jasmeet Soar
Journal:  Intensive Care Med       Date:  2021-03-25       Impact factor: 17.440

Review 7.  Prognostication after cardiac arrest.

Authors:  Claudio Sandroni; Sonia D'Arrigo; Jerry P Nolan
Journal:  Crit Care       Date:  2018-06-05       Impact factor: 9.097

8.  Prognostic value of 18F-FDG brain PET as an early indicator of neurological outcomes in a rat model of post-cardiac arrest syndrome.

Authors:  Daehee Kim; Hai-Jeon Yoon; Woon Jeong Lee; Seon Hee Woo; Bom Sahn Kim
Journal:  Sci Rep       Date:  2019-10-15       Impact factor: 4.379

9.  Effects of therapeutic hypothermia on cerebral tissue oxygen saturation in a swine model of post-cardiac arrest.

Authors:  Chunshuang Wu; Jiefeng Xu; Xiaohong Jin; Qijiang Chen; Xiao Lu; Anyu Qian; Moli Wang; Zilong Li; Mao Zhang
Journal:  Exp Ther Med       Date:  2019-12-11       Impact factor: 2.447

Review 10.  Targeted Temperature Management and Multimodality Monitoring of Comatose Patients After Cardiac Arrest.

Authors:  Peggy L Nguyen; Laith Alreshaid; Roy A Poblete; Geoffrey Konye; Jonathan Marehbian; Gene Sung
Journal:  Front Neurol       Date:  2018-09-11       Impact factor: 4.003

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