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Relation between infarct size and ventricular arrhythmia.

Overview of attention for article published in British Heart Journal, November 1975
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Article details
Title
Relation between infarct size and ventricular arrhythmia.
Published in
British Heart Journal, November 1975
DOI 10.1136/hrt.37.11.1169
Pubmed ID
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Abstract

In order to determine whether ventricular arrhythmia is quantitatively related to infarct size estimated enzymatically we studied 31 patients with acute myocardial infarction without cargiogenic shock. Infarct size index was estimated from hourly serum creatine kinase (CK) changes during periods of 48 to 72 hours. Ventricular arrhythmia was quantified by automated analysis of continuous electrocardiographic recordings over a period of 20 hours with the use of the Argus/H computer system. Patients were classified into three groups according to infarct size index. Patients in all groups had similar average heart rate, blood pressure, serum potassium, and arterial pH and PCO2 values during the first 10 hours after admission. The total number of ventricular ectopic beats (VEB), frequency of couplets, and ventricular tachycardia, and peak rate of ventricular ectopic beats during the first 10 hours after admission were all related to infarct size index. For example, patients with small, medium, and large estimated infarct size averaged 26, 104, and 405 ventricular ectopic beats, respectively. These results suggest that the severity of ventricular arrhythmia early after myocardial infarction is related to the extent of myocardial injury as estimated enzymatically. Thus the apparent efficacy and therefore the evaluation of antiarrhythmic agents early after myocardial infarction may be influenced by the magnitude of injury sustained by the heart.

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Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 4 22%
Student > Postgraduate 3 17%
Lecturer > Senior Lecturer 2 11%
Other 1 6%
Other 1 6%
Unknown 2 11%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 44%
Biochemistry, Genetics and Molecular Biology 3 17%
Computer Science 1 6%
Physics and Astronomy 1 6%
Sports and Recreations 1 6%
Other 1 6%
Unknown 3 17%