Literature DB >> 31585185

Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest.

Kaspar Josche Streitberger1, Christian Endisch1, Christoph J Ploner1, Robert Stevens2, Michael Scheel3, Martin Kenda1, Christian Storm4, Christoph Leithner5.   

Abstract

AIM: Gray-white-matter ratio (GWR) calculated from head CT is a radiologic index of tissue changes associated with hypoxic-ischemic encephalopathy after cardiac arrest (CA). Evidence from previous studies indicates high specificity for poor outcome prediction at GWR thresholds of 1.10-1.20. We aimed to determine the relationship between accuracy of neurologic prognostication by GWR and timing of CT.
METHODS: We included 195 patients admitted to the ICU following CA. GWR was calculated from CT radiologic densities in 16 regions of interest. Outcome was determined upon intensive care unit discharge using the cerebral performance category (CPC). Accuracy of outcome prediction of GWR was compared for 3 epochs (<6, 6-24, and >24 h after CA).
RESULTS: 125 (64%) patients had poor (CPC4-5) and 70 (36%) good outcome (CPC1-3). Irrespective of timing, specificity for poor outcome prediction was 100% at a GWR threshold of 1.10. Among 50 patients with both early and late CT, GWR decreased significantly over time (p = 0.002) in patients with poor outcome, sensitivity for poor outcome prediction was 12% (7-20%) with early CTs (<6 h) and 48% (38-58%) for late CTs (>24 h). Across all patients, sensitivity of early and late CT was 17% (9-28%) and 39% (28-51%), respectively.
CONCLUSION: A GWR below 1.10 predicts poor outcome (CPC4-5) in patients after CA with high specificity irrespective of time of acquisition of CT. Because GWR decreases over time in patients with severe HIE, sensitivity for prediction of poor outcome is higher for late CTs (>24 h after CA) as compared to early CTs (<6 h after CA).
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Computed tomography (CT); Grey-white-matter-ration (GWR); Outcome prediction; Prognostication; Therapeutic hypothermia

Year:  2019        PMID: 31585185     DOI: 10.1016/j.resuscitation.2019.09.025

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


  11 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

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

4.  Predictive values of early head computed tomography for survival outcome after cardiac arrest in childhood: a pilot study.

Authors:  Kenichi Tetsuhara; Noriyuki Kaku; Yuka Watanabe; Masaya Kumamoto; Yuko Ichimiya; Soichi Mizuguchi; Kanako Higashi; Wakato Matsuoka; Yoshitomo Motomura; Masafumi Sanefuji; Akio Hiwatashi; Yasunari Sakai; Shouichi Ohga
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

Review 5.  Brain Injury Biomarkers for Predicting Outcome After Cardiac Arrest.

Authors:  Jaana Humaloja; Nicholas J Ashton; Markus B Skrifvars
Journal:  Crit Care       Date:  2022-03-22       Impact factor: 9.097

6.  Performance of a guideline-recommended algorithm for prognostication of poor neurological outcome after cardiac arrest.

Authors:  Marion Moseby-Knappe; Erik Westhall; Sofia Backman; Niklas Mattsson-Carlgren; Irina Dragancea; Anna Lybeck; Hans Friberg; Pascal Stammet; Gisela Lilja; Janneke Horn; Jesper Kjaergaard; Christian Rylander; Christian Hassager; Susann Ullén; Niklas Nielsen; Tobias Cronberg
Journal:  Intensive Care Med       Date:  2020-06-03       Impact factor: 17.440

7.  Prognostic Values of the Gray-to-White Matter Ratio on Brain Computed Tomography Images for Neurological Outcomes after Cardiac Arrest: A Meta-Analysis.

Authors:  Wen Jie Wang; Jie Cui; Guang Wei Lv; Shun Yi Feng; Yong Zhao; Su Li Zhang; Yong Li
Journal:  Biomed Res Int       Date:  2020-11-03       Impact factor: 3.411

8.  GFAp and tau protein as predictors of neurological outcome after out-of-hospital cardiac arrest: A post hoc analysis of the COMACARE trial.

Authors:  Jaana Humaloja; Marika Lähde; Nicholas J Ashton; Matti Reinikainen; Johanna Hästbacka; Pekka Jakkula; Hans Friberg; Tobias Cronberg; Ville Pettilä; Kaj Blennow; Henrik Zetterberg; Markus B Skrifvars
Journal:  Resuscitation       Date:  2021-12-01       Impact factor: 5.262

Review 9.  Brain injury after cardiac arrest: pathophysiology, treatment, and prognosis.

Authors:  Claudio Sandroni; Tobias Cronberg; Mypinder Sekhon
Journal:  Intensive Care Med       Date:  2021-10-27       Impact factor: 17.440

Review 10.  Gray-White Matter Ratio at the Level of the Basal Ganglia as a Predictor of Neurologic Outcomes in Cardiac Arrest Survivors: A Literature Review.

Authors:  Fating Zhou; Hongxia Wang; Mengyao Jian; Zhiyuan Wang; Yarong He; Haizhen Duan; Lu Gan; Yu Cao
Journal:  Front Med (Lausanne)       Date:  2022-03-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.