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Incidence and case fatality of acute myocardial infarction in Korea, 2011-2020
Yeeun Seo, Jenny Moon, Hyeok-Hee Lee, Hyeon Chang Kim, Fumie Kaneko, Sojung Shin, Eunji Kim, Jang-Whan Bae, Byeong-Keuk Kim, Seung Jun Lee, Min Kim, Hokyou Lee
Epidemiol Health. 2024;46:e2024002.   Published online December 26, 2023
DOI: https://doi.org/10.4178/epih.e2024002
  • 21,287 View
  • 212 Download
  • 5 Web of Science
  • 8 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Cardiovascular diseases are a leading cause of mortality worldwide, and acute myocardial infarction (AMI) is particularly fatal condition. We evaluated the incidence and case fatality rates of AMI in Korea from 2011 to 2020.
METHODS
We utilized data from the National Health Insurance Services to calculate crude, age-standardized, and age-specific incidence rates, along with 30-day and 1-year case fatality rates, of AMI from 2011 to 2020. Age-standardized incidence rates were determined using direct standardization to the 2005 population.
RESULTS
The crude incidence rate of AMI per 100,000 person-years consistently increased from 44.7 in 2011 to 68.3 in 2019, before decreasing slightly to 66.2 in 2020. The age-standardized incidence rate of AMI displayed a 19% rise from 2011 to 2019, followed by a slight decline in 2020. The increasing trend for AMI incidence was more pronounced in males than in females. Both 30-day and 1-year case fatality rates remained stable among younger individuals but showed a decrease among older individuals. There was a minor surge in case fatality in 2020, particularly among recurrent AMI cases.
CONCLUSIONS
Over the past decade, the AMI incidence rate in Korea has consistently increased, with a slight downturn in 2020. The case fatality rate has remained relatively stable except for a minor increase in 2020. This study provides data for continuous surveillance, the implementation of targeted interventions, and the advancement of research aimed at AMI in Korea.
Summary
Key Message
This study observed the incidence rate of acute myocardial infarction using data from Korean National Health Insurance Service. From 2011 to 2019, the incidence rate increased, but there was a slight decrease in 2020. Additionally, the fatality rate remained relatively stable throughout the study period, except for an increase in 2020. The study emphasizes the importance of continuous monitoring and preventive strategies for effective management of acute myocardial infarction.

Citations

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  • American society for preventive cardiology 2024 cardiovascular disease prevention: Highlights and key sessions
    Akhil A. Chandra, Carlos Espiche, Maisha Maliha, Salim S Virani, Roger S Blumenthal, Fatima Rodriguez, Nathan D Wong, Martha Gulati, Leandro Slipczuk, Michael D Shapiro
    American Journal of Preventive Cardiology.2025; 21: 100919.     CrossRef
  • Estimating Hospitalization Incidence for Ischaemic Heart Disease Using National Health Insurance Claims Data
    Su-Jin Lee, Jong-Yeon Kim
    Journal of Health Informatics and Statistics.2025; 50(1): 57.     CrossRef
  • Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models
    Sumin Lee, Hyeok-Hee Lee, Hokyou Lee, Kyu Sun Yum, Jang-Hyun Baek, Jaewon Khil, Jaeyong Lee, Sojung Shin, Minsung Cho, Na Yeon Ahn, Seng Chan You, Hyeon Chang Kim
    Journal of the American Medical Informatics Association.2025; 32(8): 1320.     CrossRef
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    Pavol Mikula, Katarína Schuberth, Melanie Rubenbauer-Beyerlein, Rupert Schupfner, Matthias Unseld, Hans Jürgen Heppner
    Case Reports in Emergency Surgery and Trauma.2025;[Epub]     CrossRef
  • The predictive role of dyspnea in left main and/or three-vessel coronary artery involvement in patients with myocardial infarction: an analytical cross-sectional study
    Ibrahim Behnam, Mahdi Basiri Moghaddam, Zahra Dalir, Mehrsa Basiri Moghaddam
    BMC Cardiovascular Disorders.2025;[Epub]     CrossRef
  • Comparison of the Prognostic Performance of Various Machine Learning Models in Patients with Acute Myocardial Infarction: Results from the COREA-AMI Registry
    Ji-Hoon Jung, Kyusup Lee, Kiyuk Chang, Youngkeun Ahn, Sung-Ho Her, Sangin Lee
    Medicina.2025; 61(10): 1783.     CrossRef
  • Epidemiology of acute myocardial infarction in the Russian Federation and abroad from 2017 to 2024
    Marina M. Petrova, Alena R. Anokhina, Sergey A. Ustyugov, Darya S. Kaskaeva, Aleksandr A. Evsyukov, Natalia A. Schneider
    CardioSomatics.2025; 16(3): 263.     CrossRef
  • Recurrent myocardial infarction as an unsolved problem of evidence-based medicine
    S. Yu. Martsevich
    Cardiovascular Therapy and Prevention.2024; 23(6): 4019.     CrossRef
Identification of acute myocardial infarction and stroke events using the National Health Insurance Service database in Korea
Minsung Cho, Hyeok-Hee Lee, Jang-Hyun Baek, Kyu Sun Yum, Min Kim, Jang-Whan Bae, Seung-Jun Lee, Byeong-Keuk Kim, Young Ah Kim, JiHyun Yang, Dong Wook Kim, Young Dae Kim, Haeyong Pak, Kyung Won Kim, Sohee Park, Seng Chan You, Hokyou Lee, Hyeon Chang Kim
Epidemiol Health. 2024;46:e2024001.   Published online December 26, 2023
DOI: https://doi.org/10.4178/epih.e2024001
  • 20,642 View
  • 261 Download
  • 9 Web of Science
  • 8 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
The escalating burden of cardiovascular disease (CVD) is a critical public health issue worldwide. CVD, especially acute myocardial infarction (AMI) and stroke, is the leading contributor to morbidity and mortality in Korea. We aimed to develop algorithms for identifying AMI and stroke events from the National Health Insurance Service (NHIS) database and validate these algorithms through medical record review.
METHODS
We first established a concept and definition of “hospitalization episode,” taking into account the unique features of health claims-based NHIS database. We then developed first and recurrent event identification algorithms, separately for AMI and stroke, to determine whether each hospitalization episode represents a true incident case of AMI or stroke. Finally, we assessed our algorithms’ accuracy by calculating their positive predictive values (PPVs) based on medical records of algorithm-identified events.
RESULTS
We developed identification algorithms for both AMI and stroke. To validate them, we conducted retrospective review of medical records for 3,140 algorithm-identified events (1,399 AMI and 1,741 stroke events) across 24 hospitals throughout Korea. The overall PPVs for the first and recurrent AMI events were around 92% and 78%, respectively, while those for the first and recurrent stroke events were around 88% and 81%, respectively.
CONCLUSIONS
We successfully developed algorithms for identifying AMI and stroke events. The algorithms demonstrated high accuracy, with PPVs of approximately 90% for first events and 80% for recurrent events. These findings indicate that our algorithms hold promise as an instrumental tool for the consistent and reliable production of national CVD statistics in Korea.
Summary
Key Message
In this study, we developed algorithms to identify acute myocardial infarction (AMI) and stroke events from the Korean National Health insurance Service database. To validate them, we conducted retrospective review of medical records across 24 hospitals throughout Korea. The overall positive predictive values for the first and recurrent AMI events were around 92% and 78%, respectively, while those for the first and recurrent stroke events were around 88% and 81%, respectively.

Citations

Citations to this article as recorded by  
  • Cardiovascular Risk Among Stroke Survivors With Combustible and Electronic Cigarettes: A Nationwide Study in Korean Men
    Joonsang Yoo, Jimin Jeon, Minyoul Baik, Yun Young Choi, Jinkwon Kim
    Journal of the American Heart Association.2026;[Epub]     CrossRef
  • Blood pressure status and risk of cardiovascular disease in older adults aged 75+ without prior cardiovascular events: a nationwide cohort study
    Sangwon Choi, Kyung-Do Han, Kyung-Ho Yu, Byung-Chul Lee, Mi Sun Oh, Dae Young Cheon, Minwoo Lee
    European Journal of Preventive Cardiology.2026;[Epub]     CrossRef
  • Constipation and risk of death and cardiovascular events in patients on hemodialysis
    Sang Cheol Park, Juyoung Jung, Young Eun Kwon, Song In Baeg, Dong-Jin Oh, Do Hyoung Kim, Young-Ki Lee, Hye Min Choi
    Kidney Research and Clinical Practice.2025; 44(1): 155.     CrossRef
  • Body Mass Index Changes and Femur Fracture Risk in Parkinson's Disease: National Cohort Study
    Sung‐Ho Ahn, Hye Sun Lee, Jun‐Hyuk Lee
    Journal of Cachexia, Sarcopenia and Muscle.2025;[Epub]     CrossRef
  • Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models
    Sumin Lee, Hyeok-Hee Lee, Hokyou Lee, Kyu Sun Yum, Jang-Hyun Baek, Jaewon Khil, Jaeyong Lee, Sojung Shin, Minsung Cho, Na Yeon Ahn, Seng Chan You, Hyeon Chang Kim
    Journal of the American Medical Informatics Association.2025; 32(8): 1320.     CrossRef
  • Cardiovascular risk across blood pressure categories defined by the 2024 ESC and 2023 ESH hypertension guidelines: insights from a Korean nationwide cohort study
    Dae young Cheon, Kyung-do Han, Yeon Jung Lee, Jeen Hwa Lee, Myung Soo Park, Sook Jin Lee, Seongwoo Han, Jae Hyuk Choi, Minwoo Lee
    European Journal of Preventive Cardiology.2025;[Epub]     CrossRef
  • Cumulative Cardiovascular Health Score Through Young Adulthood and Cardiovascular and Kidney Outcomes in Midlife
    Jong Hyun Jhee, Kyoung Hwa Ha, Dasom Son, Hyeok-Hee Lee, Eun-Jin Kim, Hyeon Chang Kim, Hokyou Lee
    JAMA Cardiology.2025; 10(11): 1207.     CrossRef
  • Incidence and case fatality of stroke in Korea, 2011-2020
    Jenny Moon, Yeeun Seo, Hyeok-Hee Lee, Hokyou Lee, Fumie Kaneko, Sojung Shin, Eunji Kim, Kyu Sun Yum, Young Dae Kim, Jang-Hyun Baek, Hyeon Chang Kim
    Epidemiology and Health.2023; 46: e2024003.     CrossRef
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