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Kim, Yong-Jin

https://orcid.org/0009-0003-9580-9258

Mayo Clinic

Seoul National University

Citations 2

Left atrial reservoir strain as a novel predictor of new-onset atrial fibrillation in light-chain-type cardiac amyloidosis
Choi, You‐Jung , Kim, Darae , Rhee, Tea-Min, Lee, Hyun‐Jung , Park, Jun‐Bean , Lee, Seung‐Pyo , Kim, Yong-Jin , Jeon, Eun‐Seok , Oh, Jae K. , Choi, Jin‐Oh , Kim, Hyung‐Kwan , Jeon, Eun-Seok , Kim, Hyung-Kwan , Rhee, Tea-Min, Chang, Sung‐A

European Heart Journal - Cardiovascular Imaging | January 14, 2023 | Volume: 24 | Issue: 6 | Pages: 751-758

10.1093/ehjci/jeac269 Get It

Abstract Aims To investigate whether left arterial reservoir strain (LASr) could predict new-onset atrial fibrillation (NOAF) in patients with light-chain-type cardiac amyloidosis (ALCA). Methods and results This study enrolled 427 patients with CA from two tertiary centres between 2005 and 2019. LASr was measured using a vendor-independent analysis programme. The primary outcome was NOAF. A total of 287 patients with ALCA were included [median age 63.0 (56.0–70.0) years, 53.3% male]. The median LASr was 13.9% (10.5–20.8%). During the median follow-up of 0.85 years, AF occurred in 34 patients (11.8%). In the receiver operating characteristics curve analysis, the optimal cut-off of LASr for predicting NOAF was 14.4%. Patients with LASr ≤14.4% had a higher risk of NOAF than those with LASr >14.4% (18.1% vs. 5.1%, P < 0.010). In the multivariate analysis adjusting for confounding factors, including left arterial volume index and left ventricular global longitudinal strain (LV-GLS), higher LASr (%) was independently associated with lower risk for NOAF [adjusted hazard ratio (aHR): 0.936, 95% confidence interval (95% CI): 0.879–0.997, P = 0.039]. Furthermore, LASr ≤14.4% was an independent predictor for NOAF (aHR: 3.370, 95% CI: 1.337–8.492, P = 0.010). This remained true after accounting for all-cause death as a competing risk. Compared with Model 1 (LV-GLS) and Model 2 (LV-GLS plus LAVI), Model 3, including LASr showed a better reclassification ability for predicting NOAF (net reclassification index = 0.735, P < 0.001 compared with Model 1; net reclassification index = 0.514, P = 0.003 compared with Model 2). Conclusion LASr was an independent predictor of NOAF in patients with ALCA.
Obesity and metabolic health status are determinants for the clinical expression of hypertrophic cardiomyopathy
Park, Jun‐Bean , Lee, Heesun , Yoon, Yeonyee E. , Park, Hyo Eun , Choi, Su‐Yeon , Kim, Yong-Jin , Ommen, Steve R. , Kim, Hyung‐Kwan , Kim, Hyung-Kwan , Kim, Dahye , Hwang, In‐Chang , Yoon, Yeonyee Elizabeth , Cho, Goo‐Yeong , Han, Kyungdo

European Journal of Preventive Cardiology | December 2, 2019 | Volume: 27 | Issue: 17 | Pages: 1849-1857

10.1177/2047487319889714 Get It

Aims We sought to investigate the association of obesity and metabolic health status with the incidence of clinical hypertrophic cardiomyopathy (HCM) diagnosis in the general population. Our goal was to identify modifiable risk factors to attenuate clinical expression of HCM, enabling management evolution from a mostly passive strategy of risk stratification to a proactive strategy of modifying disease expression. Methods Using nationwide population-based data from the Korean National Health Insurance Service, 28,679,891 people who were free of prevalent HCM and who underwent health examinations between 2009 and 2015 were followed until 31 December 2016. The primary outcome was clinical HCM that was defined as incident diagnosis of HCM during the follow-up, after a blanking period of 12 months. Results Over a median follow-up of 5.2 years, 0.027% (n = 7851) of the study participants were diagnosed as incident HCM. The incidence rate per 1000 person-years was 0.059. A significant association was found between body mass index (BMI) and the incidence of clinical HCM after multivariate adjustment, with a hazard ratio per 1 kg/m2 increase in BMI of 1.063 (95% confidence interval 1.051–1.075). Metabolically unhealthy participants had a greater incidence of HCM than metabolically healthy participants, regardless of obesity status. The effect of BMI was more pronounced in several subgroups, including participants with no hypertension, those aged less than 65 years and men. Conclusion We found that individuals with obesity and/or metabolic abnormalities had a significantly higher incidence of clinical HCM diagnosis than their counterparts. Efforts to manage obesity and metabolic abnormalities may be important in modifying clinical expression of HCM.