Bae, Woo Kyung; Cho, Jihoon; Kim, Seok; Kim, Borham; Baek, Hyunyoung; Song, Wongeun; Yoo, Sooyoung
JMIR medical informatics
2022Oct ; 10 ( 10 ) :e41503.
PMID : 36227638
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Bae, Woo Kyung - Department of Family Medicine, Health Promotion Center, Seoul National University Bundang Hospital, Republic of Korea, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.
Cho, Jihoon - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
Kim, Seok - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
Kim, Borham - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
Baek, Hyunyoung - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
Song, Wongeun - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
Yoo, Sooyoung - Healthcare Information and Communication Technology Research Center, Office of eHealth Research and Business, Seoul National University Bundang Hospital, Republic of Korea, Seongnam-si, Republic of Korea.
ABSTRACT
BACKGROUND: Cardio-cerebrovascular diseases (CVDs) result in 17.5 million deaths annually worldwide, accounting for 46.2% of noncommunicable causes of death, and are the leading cause of death, followed by cancer, respiratory disease, and diabetes mellitus. Coronary artery computed tomography angiography (CCTA), which detects calcification in the coronary arteries, can be used to detect asymptomatic but serious vascular disease. It allows for noninvasive and quick testing despite involving radiation exposure. OBJECTIVE: The objective of our study was to investigate the effectiveness of CCTA screening on CVD outcomes by using the Observational Health Data Sciences and Informatics' Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) data and the population-level estimation method.
METHODS: Using electronic health record-based OMOP-CDM data, including health questionnaire responses, adults (aged 30-74 years) without a history of CVD were selected, and 5-year CVD outcomes were compared between patients undergoing CCTA (target group) and a comparison group via 1:1 propensity score matching. Participants were stratified into low-risk and high-risk groups based on the American College of Cardiology/American Heart Association atherosclerotic cardiovascular disease (ASCVD) risk score and Framingham risk score (FRS) for subgroup analyses.
RESULTS: The 2-year and 5-year risk scores were compared as secondary outcomes between the two groups. In total, 8787 participants were included in both the target group and comparison group. No significant differences (calibration P=.37) were found between the hazard ratios of the groups at 5 years. The subgroup analysis also revealed no significant differences between the ASCVD risk scores and FRSs of the groups at 5 years (ASCVD risk score: P=.97; FRS: P=.85). However, the CCTA group showed a significantly lower increase in risk scores at 2 years (ASCVD risk score: P=.03; FRS: P=.02).
CONCLUSIONS: Although we could not confirm a significant difference in the preventive effects of CCTA screening for CVDs over a long period of 5 years, it may have a beneficial effect on risk score management over 2 years. CI - ?’Woo Kyung Bae, Jihoon Cho, Seok Kim, Borham Kim, Hyunyoung Baek, Wongeun Song, Sooyoung Yoo. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.10.2022.
keyword
angiography; cardiology; cardiovascular diseases; common data model; computed tomography; coronary artery computed tomography angiography; data modeling; electronic health record; health data science; medical informatics; observational study; population level estimation; risk score; vascular disease
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