National Health Big Data Analyses
The national health database offers vast opportunities to uncover new medical insights within a nationwide population. Big data analyses using these resources are becoming essential in clinical and AI-based research. The Korean National Health Insurance Database (NHID), a comprehensive and well-structured claims database, provides an ideal foundation for conducting such studies.
Figure adapted from: Choi EK. "Cardiovascular Research Using the Korean National Health Information Database." Korean Circ J. 2020;50(9):754-772. https://doi.org/10.4070/kcj.2020.0171.
One of the studies I conducted is about the relationship between incidental atrial fibrillation (AF) and proteinuria across various glycemic stages.
Diabetes and proteinuria are both independent risk factors of AF, but their relationship with respect to the risk of incident AF has been unclear. We found that high proteinuria levels were significantly associated with increased AF risk across all glycemic stages. Furthermore, the adjusted AF risk was similar among patients with established diabetes, regardless of diabetes duration, suggesting that AF risk in diabetic patients can be stratified by measuring the level of proteinuria rather than comparing the duration of diabetes.
The study manuscript is currently under peer review.
The poster was presented at the European Society of Cardiology Congress 2024, London, on September 2, 2024. (https://esc365.escardio.org/presentation/286502) and at the 68th Annual Scientific Meeting of the Korean Society of Cardiology, Seoul, on October 19, 2024. (https://ksc2024.or.kr/program/full/index.php)
