Yonsei University College of Medicine Reports Findings in Acute Myocardial Infarction (Identification of acute myocardial infarction and stroke events using the National Health Insurance Service Database): Heart Disorders and Diseases – Acute Myocardial Infarction

2024 JAN 23 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Business Daily -- New research on Heart Disorders and Diseases - Acute Myocardial Infarction is the subject of a report. According to news originating from Seoul, South Korea, by NewsRx correspondents, research stated, “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.”

Our news journalists obtained a quote from the research from the Yonsei University College of Medicine, “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. 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. 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. 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.”

According to the news editors, the research concluded: “These findings indicate that our algorithms hold promise as an instrumental tool for the consistent and reliable production of national CVD statistics in Korea.”

For more information on this research see: Identification of acute myocardial infarction and stroke events using the National Health Insurance Service Database. Epidemiology and Health, 2023. Epidemiology and Health can be contacted at: Korean Soc Epidemiology, Dept Social & Preventive Medicine, Sungkyunkwan Univ Sch Medicine, Suwon, 16419, South Korea.

The news correspondents report that additional information may be obtained from Hyeok-Hee Lee, Dept. of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea. Additional authors for this research include Minsung Cho, Jang-Hyun Baek, Kyu Sun Yum, Min Kim, Jang-Whan Bae, Seung-Jun Lee, Byeong-Keuk Kim, Yung Ah Kim, JiHyun Yang, Dong Wook Kim, Young Dae Kim, Haeyong Pak, Kyung Won Kim, Sohee Park, Seng Chan You, Hokyou Lee and Hyeon Chang Kim.

The publisher’s contact information for the journal Epidemiology and Health is: Korean Soc Epidemiology, Dept Social & Preventive Medicine, Sungkyunkwan Univ Sch Medicine, Suwon, 16419, South Korea.

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