Literature DB >> 31400398

Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: The ProNeCA prospective multicentre prognostication study.

Maenia Scarpino1, Francesco Lolli2, Giovanni Lanzo3, Riccardo Carrai1, Maddalena Spalletti3, Franco Valzania4, Maria Lombardi5, Daniela Audenino6, Maria Grazia Celani7, Alfonso Marrelli8, Sara Contardi9, Adriano Peris10, Aldo Amantini1, Claudio Sandroni11, Antonello Grippo1.   

Abstract

AIMS: To investigate the ability of 30-min electroencephalogram (EEG), short-latency somatosensory evoked potentials (SEPs) and brain computed tomography (CT) to predict poor neurological outcome (persistent vegetative state or death) at 6 months in comatose survivors of cardiac arrest within 24 h from the event.
METHODS: Prospective multicentre prognostication study in seven hospitals. SEPs were graded according to the presence and amplitude of their cortical responses, EEG patterns were classified according to the American Clinical Neurophysiology Society terminology and brain oedema on brain CT was measured as grey/white matter (GM/WM) density ratio. Sensitivity for poor outcome prediction at 100% specificity was calculated for the three tests individually and in combination. None of the patients underwent withdrawal of life-sustaining treatments before the index event occurred.
RESULTS: A total of 346/396 patients were included in the analysis. At 6 months, 223(64%) had poor neurological outcome; of these, 68 were alive in PVS. Bilaterally absent/absent-pathological amplitude cortical SEP patterns, a GM/WM ratio<1.21 on brain CT and isoelectric/burst-suppression EEG patterns predicted poor outcome with 100% specificity and sensitivities of 57.4%, 48.8% and 34.5%, respectively. At least one of these unfavourable patterns was present in 166/223 patients (74.4% sensitivity). Two unfavourable patterns were simultaneously present in 111/223 patients (49.7% sensitivity), and three patterns in 38/223 patients (17% sensitivity).
CONCLUSIONS: In comatose resuscitated patients, a multimodal approach based on results of SEPs, EEG and brain CT accurately predicts poor neurological outcome at 6 months within the first 24 h after cardiac arrest.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anoxia-ischemia; Brain; Cardiac arrest; Coma; Computed tomography; Electroencephalogram; Prognosis; Somatosensory evoked potentials

Mesh:

Year:  2019        PMID: 31400398     DOI: 10.1016/j.resuscitation.2019.07.032

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


  15 in total

1.  Duration and clinical features of cardiac arrest predict early severe cerebral edema.

Authors:  C Jayson Esdaille; Patrick J Coppler; John W Faro; Zachary M Weisner; Joseph P Condle; Jonathan Elmer; Clifton W Callaway
Journal:  Resuscitation       Date:  2020-06-23       Impact factor: 5.262

Review 2.  Neurological Prognostication in Children After Cardiac Arrest.

Authors:  Alyssa E Smith; Stuart H Friess
Journal:  Pediatr Neurol       Date:  2020-03-15       Impact factor: 3.372

3.  Magnetic resonance imaging adds prognostic value to EEG after pediatric cardiac arrest.

Authors:  Alyssa E Smith; Alex P Ganninger; Ali Y Mian; Stuart H Friess; Rejean M Guerriero; Kristin P Guilliams
Journal:  Resuscitation       Date:  2022-02-25       Impact factor: 5.262

4.  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

5.  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 6.  Targeted temperature management and early neuro-prognostication after cardiac arrest.

Authors:  Songyu Chen; Brittany Bolduc Lachance; Liang Gao; Xiaofeng Jia
Journal:  J Cereb Blood Flow Metab       Date:  2021-01-14       Impact factor: 6.200

Review 7.  Novel approaches to prediction in severe brain injury.

Authors:  Brian C Fidali; Robert D Stevens; Jan Claassen
Journal:  Curr Opin Neurol       Date:  2020-12       Impact factor: 6.283

8.  Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest: Prospective multicentre prognostication data.

Authors:  Maenia Scarpino; Francesco Lolli; Giovanni Lanzo; Riccardo Carrai; Maddalena Spalletti; Franco Valzania; Maria Lombardi; Daniela Audenino; Maria Grazia Celani; Alfonso Marrelli; Sara Contardi; Adriano Peris; Aldo Amantini; Claudio Sandroni; Antonello Grippo
Journal:  Data Brief       Date:  2019-11-04

9.  Brain death following ingestion of E-cigarette liquid nicotine refill solution.

Authors:  Maenia Scarpino; Manuela Bonizzoli; Cecilia Lanzi; Giovanni Lanzo; Chiara Lazzeri; Giovanni Cianchi; Francesco Gambassi; Francesco Lolli; Antonello Grippo
Journal:  Brain Behav       Date:  2020-07-28       Impact factor: 2.708

10.  Highlights From the American Heart Association's 2019 Resuscitation Science Symposium.

Authors:  Felipe Teran; Sarah M Perman; Oscar J L Mitchell; Kelly N Sawyer; Audrey L Blewer; Jon C Rittenberger; Marina Del Rios Rivera; James M Horowitz; Joseph E Tonna; Cindy H Hsu; Pavitra Kotini-Shah; Shaun K McGovern; Benjamin S Abella
Journal:  J Am Heart Assoc       Date:  2020-05-12       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.