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Predictors of 30-day Mortality in ST-Elevation Myocardial Infarction (STEMI) Patients

ACTA MEDICA INDONESIANA · Vol. 51 No. 3 (2019)

ISSN
2338-2732, 0125-9326
Published
2019-11-07
Publisher
The Indonesian Society of Internal Medicine
Language
eng

Abstract

Background: to identify other factors other than the TIMI scores that can be used as predictors of 30-day mortality in STEMI patients by including variables of left ventricle ejection fraction (LVEF) and glomerulus filtration rate (GFR) at Cipto Mangunkusumo National Central General Hospital. Methods: a retrospective cohort study was conducted in 487 STEMI patients who were hospitalized at RSUPN Cipto Mangunkusumo between 2004 and 2013. Sample size was calculated using the rule of thumbs formula. Data were obtained from medical records and analyzed with bivariate and multivariate method using Cox’s Proportional Hazard Regression Model. Subsequently, a new scoring system was developed to predict 30-day mortality rate in STEMI patients. Calibration and discrimination features of the new model were assessed using Hosmer-Lemeshow test and area under receiver operating characteristic curve (AUC). Results: bivariate and multivariate analyses showed that only two variables in the new score system model were statistically significant, i.e. the Killip class II to IV and GFR with a range of total score between 0 and 4.6. Thirty-day mortality risk stratification for STEMI patient included high, moderate and low risks. The risk was considered high when the total score was >3.5 (46.5%). It was considered moderate if the total score was between 2.5 and 3.5 (23.2%) and low if the total score was 0.05) and discrimination (AUC 0.816 (0.756-0.875; CI 95%). Conclusion: There are two new score variables that can be used as predictors of 30-day mortality risks for STEMI patients, i.e. the Killip class and GFR with satisfactory calibration and discrimination rate.

Keywords

Collaboration network of the authors

40 authors · 276 co-authorship links · showing the 40 most connected

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  • University of Indonesia
  • Affiliation unknown
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Co-authorOrganisationJoint articles
Siti SetiatiAffiliation unknown18
Idrus AlwiAffiliation unknown12
Simon SalimAffiliation unknown9
Rudi PutrantoAffiliation unknown8
Andhika RachmanAffiliation unknown7
Hamzah ShatriAffiliation unknown7
Noto DwimartutieAffiliation unknown6
Evy YunihastutiAffiliation unknown6
Sally Aman NasutionAffiliation unknown6
Suzanna ImmanuelAffiliation unknown5
Aida LydiaAffiliation unknown5
Taufik IndrajayaAffiliation unknown5
Arif MansjoerAffiliation unknown5
Pringgodigdo NugrohoAffiliation unknown5
Roza MulyanaAffiliation unknown4
Eka Dian SafitriAffiliation unknown4
Rahmi IstantiAffiliation unknown4
Suhendro SuwartoAffiliation unknown4
Em YunirUniversity of Indonesia4
Annisa Puspitasari NachrowiAffiliation unknown4
Yulianto YuliantoAffiliation unknown3
Imam SubektiAffiliation unknown3
Respati W RanakusumaAffiliation unknown3
Siti Rizny F SaldiAffiliation unknown3
Jessica MarsigitAffiliation unknown3
Sri SunartiAffiliation unknown3
Rensa RensaAffiliation unknown3
Fatichati BudiningsihAffiliation unknown3
Lazuardhi DwipaAffiliation unknown3
Agus SudarsoAffiliation unknown3
Sally A NasutionAffiliation unknown3
Iris RengganisAffiliation unknown3
Juferdy KurniawanAffiliation unknown3
Cleopas Martin RumendeAffiliation unknown3
Ceva Wicaksono PitoyoAffiliation unknown3
Lusiani RusdiAffiliation unknown3

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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Predictors of 30-day Mortality in ST-Elevation Myocardial Infarction (STEMI) Patients</dc:title>
	<dc:creator>Ginanjar, Eka</dc:creator>
	<dc:creator>Yamin, Muhammad</dc:creator>
	<dc:creator>Wijaya, Ika Prasetya</dc:creator>
	<dc:creator>Harimurti, Kuntjoro</dc:creator>
	<dc:subject xml:lang="en-US">TIMI Score</dc:subject>
	<dc:subject xml:lang="en-US">Modified TIMI Score</dc:subject>
	<dc:subject xml:lang="en-US">30-Day Mortality</dc:subject>
	<dc:subject xml:lang="en-US">GFR</dc:subject>
	<dc:subject xml:lang="en-US">LVEF</dc:subject>
	<dc:subject xml:lang="en-US">cardiology</dc:subject>
	<dc:description xml:lang="en-US">Background: to identify other factors other than the TIMI scores that can be used as predictors of 30-day mortality in STEMI patients by including variables of left ventricle ejection fraction (LVEF) and glomerulus filtration rate (GFR) at Cipto Mangunkusumo National Central General Hospital. Methods: a retrospective cohort study was conducted in 487 STEMI patients who were hospitalized at RSUPN Cipto Mangunkusumo between 2004 and 2013. Sample size was calculated using the rule of thumbs formula. Data were obtained from medical records and analyzed with bivariate and multivariate method using Cox’s Proportional Hazard Regression Model. Subsequently, a new scoring system was developed to predict 30-day mortality rate in STEMI patients. Calibration and discrimination features of the new model were assessed using Hosmer-Lemeshow test and area under receiver operating characteristic curve (AUC). Results: bivariate and multivariate analyses showed that only two variables in the new score system model were statistically significant, i.e. the Killip class II to IV and GFR with a range of total score between 0 and 4.6. Thirty-day mortality risk stratification for STEMI patient included high, moderate and low risks. The risk was considered high when the total score was &amp;gt;3.5 (46.5%). It was considered moderate if the total score was between 2.5 and 3.5 (23.2%) and low if the total score was &amp;lt;2.5 (5.95%). Both variables of the score had satisfactory calibration (p &amp;gt; 0.05) and discrimination (AUC 0.816 (0.756-0.875; CI 95%). Conclusion: There are two new score variables that can be used as predictors of 30-day mortality risks for STEMI patients, i.e. the Killip class and GFR with satisfactory calibration and discrimination rate.</dc:description>
	<dc:publisher xml:lang="en-US">The Indonesian Society of Internal Medicine</dc:publisher>
	<dc:date>2019-11-07</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>http://www.actamedindones.org/index.php/ijim/article/view/865</dc:identifier>
	<dc:source xml:lang="en-US">Acta Medica Indonesiana; Vol. 51 No. 3 (2019): Acta Medica Indonesiana; 238</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/865/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Acta Medica Indonesiana</dc:rights>
</oai_dc:dc>