Background
To explore the effects of onset time of electrocardiogram (ECG) abnormalities at an
early stage of acute ischemic stroke on patient prognosis. Cardiac dysfunction after
stroke is a challenge for clinicians. This is a retrospective study of patients in
the neurology departments of 23 hospitals in Shanghai and Wuhan, China.
Methods
The medical records of 351 patients were compared. Chi-square, Kruskal–Wallis, Mann–Whitney
U tests, and stratification compared subgroups. Logistic regressions analyzed factors
associated with modified Rankin Scale (mRS) score.
Results
ECG abnormalities occurred in 70.1% of patients at an early stage (most were within
48 hours of disease onset) at least once, whereas 45.9% of the patients had ECG abnormalities
within 48 hours of onset and at 7 days after onset. The incidence of poor prognosis
(mRS >1) was significantly higher in the patients with ECG abnormalities for both
time points than that in those with normal ECGs (56.3% versus 32%, odds ratio = 2.166).
Most patients demonstrated 1 to 2 ECG abnormalities, and very few patients had 3 or
more. Increasing number of ECG abnormalities was mirrored by poorer prognosis. ECG
abnormalities occurred within 48 hours and at the seventh day after onset of acute
ischemic stroke; the abnormalities that appeared within 48 hours and were still found
on the seventh day after onset of the disease were independent predictors of poor
patient prognosis.
Conclusions
The incidence of abnormal ECGs was high in the patients with acute ischemic stroke,
and the abnormal ECGs could appear at any stage of the disease.
Key Words
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Article info
Publication history
Published online: May 01, 2015
Accepted:
March 30,
2015
Received in revised form:
March 24,
2015
Received:
February 9,
2015
Footnotes
The authors declare that they did not receive any grant support.
The authors declare that they have no conflict of interest.
Identification
DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.03.043
Copyright
© 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.