Park Se Jun

Dr. Park Se Jun

Korea University Anam Hospital, Seoul, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 September 2022 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
PJPark Se Jun
Park Se Jun
YYYunjin Yum
Yunjin Yum
JCJung-Joon Cha
Jung-Joon Cha
Hyung Joon JooHyung Joon Joo
Hyung Joon Joo
JPJae Hyoung Park
Jae Hyoung Park
DLDo-Sun Lim
Do-Sun Lim
Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3–5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan–Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09–1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model.

1 January 2024 in CardioMetabolic Syndrome Journal
Verified
Journal Article
Open access
PDF file
YYYunjin Yum
Yunjin Yum
SKSungmin Koh
Sungmin Koh
PJPark Se Jun
Park Se Jun
Hyung Joon JooHyung Joon Joo
Hyung Joon Joo
YKYong Hyun Kim
Yong Hyun Kim
EKEung Ju Kim
Eung Ju Kim
Yum Y, et al. Cardiometab Syndr J. 2023 Oct;4:e2. https://doi.org/10.51789/cmsj.2024.4.e2