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Soonil Kwon,Eunjung Lee,Hojin Ju,Hyo-Jeong Ahn,So-Ryoung Lee,Eue-Keun Choi,Jangwon Suh,Seil Oh,Wonjong Rhee 대한심장학회 2023 Korean Circulation Journal Vol.53 No.10
Background and Objectives: There is limited evidence regarding machine-learning prediction for the recurrence of atrial fibrillation (AF) after electrical cardioversion (ECV). This study aimed to predict the recurrence of AF after ECV using machine learning of clinical features and electrocardiograms (ECGs) in persistent AF patients. Methods: We analyzed patients who underwent successful ECV for persistent AF. Machine learning was designed to predict patients with 1-month recurrence. Individual 12-lead ECGs were collected before and after ECV. Various clinical features were collected and trained the extreme gradient boost (XGBoost)-based model. Ten-fold cross-validation was used to evaluate the performance of the model. The performance was compared to the C-statistics of the selected clinical features. Results: Among 718 patients (mean age 63.5±9.3 years, men 78.8%), AF recurred in 435 (60.6%) patients after 1 month. With the XGBoost-based model, the areas under the receiver operating characteristic curves (AUROCs) were 0.57, 0.60, and 0.63 if the model was trained by clinical features, ECGs, and both (the final model), respectively. For the final model, the sensitivity, specificity, and F1-score were 84.7%, 28.2%, and 0.73, respectively. Although the AF duration showed the best predictive performance (AUROC, 0.58) among the clinical features, it was significantly lower than that of the final machine-learning model (p<0.001). Additional training of extended monitoring data of 15-minute single-lead ECG and photoplethysmography in available patients (n=261) did not significantly improve the model’s performance. Conclusions: Machine learning showed modest performance in predicting AF recurrence after ECV in persistent AF patients, warranting further validation studies.
Soonil Kwon,Jin-Hyung Jung,Eue-Keun Choi,Seung-Woo Lee,Jiesuck Park,So-Ryoung Lee,Jeehoon Kang,Kyungdo Han,Kyung Woo Park,Seil Oh,Gregory Y. H. Lip 대한심장학회 2021 Korean Circulation Journal Vol.51 No.5
Background and Objectives: Antithrombotic therapy after percutaneous coronary intervention (PCI) in patients with atrial fibrillation (AF) has changed in recent years with new data from large randomized trials and updates to clinical guidelines. This study aimed to investigate the trends in periprocedural antithrombotic regimens in Korean patients with AF undergoing PCI with non-vitamin K antagonist oral anticoagulants (NOACs). Methods: Using the claims database of the Health Insurance Review and Assessment during 2013–2018, 27,594 patients with AF undergoing PCI were identified. The annual prevalence of PCI and prescriptions of each antithrombotic agent, including antiplatelet agents and oral anticoagulants, within 30 days after PCI were investigated. Results: During 2013–2018, the number of patients with AF undergoing PCI increased up to 1.3-fold (from 3,913 to 5,075 patients per year). After the introduction of NOACs, the proportion of dual antiplatelet therapy (DAPT) decreased from 71.9% to 49.8% but still occupied the largest proportion among antithrombotic regimens. Triple antithrombotic therapy (TAT) use increased from 25.4% to 46.0%, and NOAC has rapidly replaced warfarin as the oral anticoagulant of choice. TAT was preferred to DAPT for patients with CHA2DS2-VASc score ≥2. Among various factors, prior intracranial hemorrhage was the most powerful predictor of favoring DAPT use over TAT. Conclusion: Since the introduction of NOACs, the patterns of periprocedural antithrombotic regimens have changed rapidly toward more use of TAT, specifically with NOAC-based regimen. Appropriate stroke prevention with oral anticoagulants is still underutilized in patients with AF undergoing PCI in Korea.
球 都 仁 川: 인천 리틀야구 경기력 향상의 사회적 요인 탐색
권순일 ( Soonil Kwon ),장익영 ( Ik Young Chang ) 한국체육대학교 체육과학연구소 2023 스포츠사이언스 Vol.41 No.3
이 연구의 목적은 인천 리틀야구 경기력 향상에 기여한 사회적 요인을 알아보는 데 있다. 연구의 목적을 달성하기 위해 인천 리틀야구 지도자 3명, 리틀야구연맹 관계자 2명, 인천 프로야구단 관계자 1명, 인천 리틀야구 학부모 2명을 연구 대상으로 선정하였으며, 심층면담을 통해 자료를 수집하였다. 이 연구를 통해 얻은 결과는 다음과 같다. 첫째, 인천의 구립 리틀야구팀은 지자체의 적극적 지원을 통해 원활한 선수 공급 체계를 마련하고 전문성 있는 지도자를 확보하여 경기력을 높일 수 있었다. 둘째, 코로나19 방역지침에 따라 스포츠를 소비하는 유형이 변화되고 실외스포츠 참여율이 높아져 야구 입단율이 증가하였다. 셋째, SSG랜더스의 선순환 모델이 구축되어 인천 전 지역의 야구 활성화에 긍정적인 영향을 미쳤다. 특히, 성공적인 구립 리틀야구팀의 운영과 코로나19 방역지침으로 인한 야구 입단율 증가는 SSG랜더스의 낙수효과에 의해 더 큰 효과가 나타났다. The purpose of this study is to examine the social factors contributing to the improvement of youth baseball performance in Incheon. In order to achieve the research objectives, three Incheon Little League coaches, two Little League association officials, one Incheon professional baseball team representative, and two parents of Incheon Little League players were selected as research subjects, and data was collected through in-depth interviews. The results obtained from this study are as follows: First, Incheon’s municipal Little League teams were able to enhance their performance by establishing a smooth player supply system through active support from the local government and securing professional coaches. Second, due to the COVID-19 prevention guidelines, the types of sports consumption changed, and the participation rate in outdoor sports increased, leading to a higher baseball enrollment rate. Third, the circulation model of SSG Landers positively influenced the revitalization of baseball in the entire Incheon region. In particular, the successful operation of municipal Little League teams and the increased baseball enrollment rate due to COVID-19 prevention guidelines had a greater impact due to the trickle-down effect of SSG Landers.