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

ACTA MEDICA INDONESIANA · Vol. 52 No. 2 (2020)

ISSN
2338-2732, 0125-9326
Published
2020-08-07
Publisher
The Indonesian Society of Internal Medicine
Language
eng

Abstract

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.

Keywords

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40 authors · 322 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Irsan HasanAffiliation unknown10
Rino Alvani GaniAffiliation unknown6
Andri Sanityoso SulaimanAffiliation unknown6
Cleopas Martin RumendeAffiliation unknown6
Ikhwan RinaldiAffiliation unknown6
Evy YunihastutiAffiliation unknown5
Adityo SusiloAffiliation unknown5
Chyntia Olivia Maurine JasirwanAffiliation unknown4
Kemal Fariz KalistaAffiliation unknown4
Andri SanityosoAffiliation unknown4
Siti SetiatiAffiliation unknown4
Kuntjoro HarimurtiAffiliation unknown4
Lutfie LutfieAffiliation unknown3
Cosmas Rinaldi A LesmanaAffiliation unknown3
Andhika RachmanAffiliation unknown3
Gita ApriliciaAffiliation unknown3
Eka GinanjarAffiliation unknown3
Ika Prasetya WijayaAffiliation unknown3
Hamzah ShatriAffiliation unknown3
Dicky Levenus TahaparyAffiliation unknown3
Imam SubektiAffiliation unknown3
Rudi PutrantoAffiliation unknown3
Dyah PurnamasariAffiliation unknown3
Kaka RenaldiAffiliation unknown3
Marcellus SimadibrataAffiliation unknown2
Idrus AlwiAffiliation unknown2
Cosmas Rinaldi Adithya LesmanaAffiliation unknown2
Lugyanti SukrismanAffiliation unknown2
Simon SalimAffiliation unknown2
Nurul Inayah RahmaniAffiliation unknown2
Alvina WidhaniAffiliation unknown2
Esthika DewiastyAffiliation unknown2
Arif MansjoerAffiliation unknown2
Leonard NainggolanAffiliation unknown2
Pringgodigdo NugrohoAffiliation unknown2
Hery Djagat PurnomoAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://www.actamedindones.org/index.php/ijim/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Effects of Extracardiac Factors in Signal-Averaged Electrocardiography-measured Late Potentials from Early Anterior Myocardial Infarction in Intensive Cardiac Care Unit</dc:title>
	<dc:creator>Suwita, Christopher Surya</dc:creator>
	<dc:creator>Nasution, Sally Aman</dc:creator>
	<dc:creator>Muhadi, Muhadi</dc:creator>
	<dc:creator>Kurniawan, Juferdy</dc:creator>
	<dc:subject xml:lang="en-US">diabetes</dc:subject>
	<dc:subject xml:lang="en-US">dyslipidemia</dc:subject>
	<dc:subject xml:lang="en-US">hypertension</dc:subject>
	<dc:subject xml:lang="en-US">late potentials</dc:subject>
	<dc:subject xml:lang="en-US">myocardial infarction</dc:subject>
	<dc:subject xml:lang="en-US">obesity</dc:subject>
	<dc:subject xml:lang="en-US">signal-averaged electrocardiogram</dc:subject>
	<dc:subject xml:lang="en-US">cardiology</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">The Indonesian Society of Internal Medicine</dc:publisher>
	<dc:date>2020-08-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Cross-sectional</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>http://www.actamedindones.org/index.php/ijim/article/view/1364</dc:identifier>
	<dc:source xml:lang="en-US">Acta Medica Indonesiana; Vol. 52 No. 2 (2020): Acta Medica Indonesiana; 131</dc:source>
	<dc:source>2338-2732</dc:source>
	<dc:source>0125-9326</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>http://www.actamedindones.org/index.php/ijim/article/view/1364/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Acta Medica Indonesiana</dc:rights>
</oai_dc:dc>