Literature DB >> 21641747

The 12-lead electrocardiogram in patients with subarachnoid hemorrhage: early risk prognostication.

Chien-Cheng Huang1, Chi-Hung Huang, Hung-Yi Kuo, Chia-Meng Chan, Jiann-Hwa Chen, Wei-Lung Chen.   

Abstract

OBJECTIVE: The aim of this study was to investigate if the electrocardiographic (ECG) abnormalities assessed early in the emergency department (ED) are associated with the in-hospital mortality of the patients with spontaneous subarachnoid hemorrhage (SAH).
METHODS: We studied prospectively a cohort of 222 adult patients with spontaneous SAH in an ED. A 12-lead ECG was performed for these patients in the ED. The patients were stratified into nonsurvivors and survivors based on the in-hospital mortality. The clinical characteristics, heart rate, corrected QT interval (QTc) and 7 predefined morphologic abnormalities were compared between these 2 groups of patients.
RESULTS: Compared with the survivors (n=178), the nonsurvivors (n=44) had significantly slower heart rate (75±23 vs 83±16, P=.018) and more prolonged QTc (492±58 vs 458±40, P=.001). There were significantly higher frequency of occurrence of ECG morphologic abnormalities (66% vs 37%, P=.001) and nonspecific ST- or T-wave changes (NSSTTCs; 32% vs 12%, P=.015) in the nonsurvivors compared with those in the survivors. Multiple logistic regression model identified QTc (odds ratio, 1.0; 95% confidence interval, 1.0-1.0; P=.005) and NSSTTC (odds ratio, 3.3; 95% confidence interval, 1.0-10.7; P=.047) as the significant ECG variables associated with in-hospital mortality.
CONCLUSIONS: The occurrence of NSSTTC and prolonged QTc assessed early in the ED are independently associated with the in-hospital mortality in adult patients with spontaneous SAH.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21641747     DOI: 10.1016/j.ajem.2011.05.003

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  9 in total

1.  Evaluation of cerebral-cardiac syndrome using echocardiography in a canine model of acute traumatic brain injury.

Authors:  Rong Qian; Weizhong Yang; Xiumei Wang; Zhen Xu; Xiaodong Liu; Bing Sun
Journal:  Am J Cardiovasc Dis       Date:  2015-03-20

2.  Fluctuating Electrocardiographic Changes Predict Poor Outcomes After Acute Subarachnoid Hemorrhage.

Authors:  Hesham Elsharkawy; Alaa Abd-Elsayed; Sherif El-Hadi; Javier Provencio; John Tetzlaff
Journal:  Ochsner J       Date:  2016

Review 3.  The harmful effects of subarachnoid hemorrhage on extracerebral organs.

Authors:  Sheng Chen; Qian Li; Haijian Wu; Paul R Krafft; Zhen Wang; John H Zhang
Journal:  Biomed Res Int       Date:  2014-07-07       Impact factor: 3.411

4.  ECG changes of cardiac origin in elderly patients with traumatic brain injury.

Authors:  Amir Masoud Hashemian; Koorosh Ahmadi; Ali Taherinia; Mohamad Davood Sharifi; Javad Ramezani; Seyed Behzad Jazayeri; Soheil Saadat; Vafa Rahimi-Movaghar
Journal:  Med J Islam Repub Iran       Date:  2015-12-13

5.  Myocardial function at the early phase of traumatic brain injury: a prospective controlled study.

Authors:  Adrien Cuisinier; Claire Maufrais; Jean-François Payen; Stephane Nottin; Guillaume Walther; Pierre Bouzat
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-10-28       Impact factor: 2.953

6.  The Neurocardiogenic Spectrum in Subarachnoid Hemorrhage: A Case Report and Review of the Literature.

Authors:  Gregory Mansella; Raban Jeger; Roland Bingisser; Christian H Nickel
Journal:  Clin Pract Cases Emerg Med       Date:  2017-01-18

7.  Incidence of Cardiac Dysfunction After Brain Injury.

Authors:  Selma Sijercic; Alisa Krdzalic; Harun Avdagic; Goran Krdzalic
Journal:  Med Arch       Date:  2018-11

8.  Development and external validation of new nomograms by adding ECG changes (ST depression or tall T wave) and age to conventional scoring systems to improve the predictive capacity in patients with subarachnoid haemorrhage: a retrospective, observational study in Korea.

Authors:  Ju Young Hong; Je Sung You; Min Joung Kim; Hye Sun Lee; Yoo Seok Park; Sung Phil Chung; Incheol Park
Journal:  BMJ Open       Date:  2019-02-20       Impact factor: 2.692

9.  Brain-Heart Axis and Biomarkers of Cardiac Damage and Dysfunction after Stroke: A Systematic Review and Meta-Analysis.

Authors:  Chengyang Xu; Ang Zheng; Tianyi He; Zhipeng Cao
Journal:  Int J Mol Sci       Date:  2020-03-28       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.