Effects of Extracardiac Factors in Signal-Averaged Electrocardiography-measured Late Potentials from Early Anterior Myocardial Infarction in Intensive Cardiac Care Unit

Background: one modality that can predict ventricular arrhythmias after myocardial infarction (MI), particularly anterior MI, is signal-averaged electrocardiogram (SA-ECG), through the detection of late potentials (LP) which is a substrate for ventricular arrhythmias. Extracardiac factors, which are...

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Main Authors: Christopher Surya Suwita (Author), Sally Aman Nasution (Author), Muhadi Muhadi (Author), Juferdy Kurniawan (Author)
Format: Book
Published: Interna Publishing, 2020-08-01T00:00:00Z.
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001 doaj_a22cdc121bb0459d8c2443c5c237b6b0
042 |a dc 
100 1 0 |a Christopher Surya Suwita  |e author 
700 1 0 |a Sally Aman Nasution  |e author 
700 1 0 |a Muhadi Muhadi  |e author 
700 1 0 |a Juferdy Kurniawan  |e author 
245 0 0 |a Effects of Extracardiac Factors in Signal-Averaged Electrocardiography-measured Late Potentials from Early Anterior Myocardial Infarction in Intensive Cardiac Care Unit 
260 |b Interna Publishing,   |c 2020-08-01T00:00:00Z. 
500 |a 0125-9326 
500 |a 2338-2732 
520 |a Background: one modality that can predict ventricular arrhythmias after myocardial infarction (MI), particularly anterior MI, is signal-averaged electrocardiogram (SA-ECG), through the detection of late potentials (LP) which is a substrate for ventricular arrhythmias. Extracardiac factors, which are also risk factors for MI, such as hypertension, diabetes, dyslipidemia, and obesity, are apparently associated with post-MI ventricular arrhythmias, which in turn may be correlated with LP. This study aims to determine the effect of extracardiac risk factors on LP incidence in anterior MI patients treated in the intensive cardiac care unit (ICCU). Methods: this was a cross-sectional study in which 80 subjects with anterior MI during the period of December 2018-2019 underwent SA-ECG examination. The medical history and extracardiac risk factors were recapitulated, and then the SA-ECG data was taken from either direct examination or ICCU patients' database in that period. This study used multivariate analysis with logistic regression test. Results: the most common factors found were hypertension (70.00%), followed by dyslipidemia (56.25%), diabetes (46.25%), and obesity (38.75%). Obesity and dyslipidemia are extracardiac factors with the two biggest roles in the prevalence of LP. However, from additional analysis, we found that diabetes with acute hyperglycemia also had immense influence on the occurrence of LP. The OR for diabetes with acute hyperglycemia, obesity, and dyslipidemia were 4.806 (IK95% 0.522-44.232), 4.291 (IK95% 0.469-39.299), and 3.237 (IK95% 0.560-18.707). However, the association is not statistically significant. Conclusion: patients with anterior MI who suffer from diabetes with hyperglycemia in admission, obesity, and dyslipidemia have a potentially higher LP prevalence, despite statistical insignificance. To increase the prognostic value of SA-ECG, serial examinations are needed during hospitalization. 
546 |a EN 
690 |a diabetes 
690 |a dyslipidemia 
690 |a hypertension 
690 |a late potentials 
690 |a myocardial infarction 
690 |a obesity 
690 |a signal-averaged electrocardiogram 
690 |a Internal medicine 
690 |a RC31-1245 
655 7 |a article  |2 local 
786 0 |n Acta Medica Indonesiana, Vol 52, Iss 2 (2020) 
787 0 |n http://www.actamedindones.org/index.php/ijim/article/view/1364 
787 0 |n https://doaj.org/toc/0125-9326 
787 0 |n https://doaj.org/toc/2338-2732 
856 4 1 |u https://doaj.org/article/a22cdc121bb0459d8c2443c5c237b6b0  |z Connect to this object online.