1.High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea
Joon myoung KWON ; Ki Hyun JEON ; Hyue Mee KIM ; Min Jeong KIM ; Sungmin LIM ; Kyung Hee KIM ; Pil Sang SONG ; Jinsik PARK ; Rak Kyeong CHOI ; Byung Hee OH
Korean Circulation Journal 2019;49(10):945-956
BACKGROUND AND OBJECTIVES: This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea. METHODS: We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday). RESULTS: OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays. CONCLUSIONS: The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.
Cardiopulmonary Resuscitation
;
Epidemiology
;
Heart Arrest
;
Holidays
;
Hospital Mortality
;
Incidence
;
Korea
;
Mortality
;
Out-of-Hospital Cardiac Arrest
;
Prospective Studies
2.Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
Joon myoung KWON ; Kyung Hee KIM ; Ki Hyun JEON ; Hyue Mee KIM ; Min Jeong KIM ; Sung Min LIM ; Pil Sang SONG ; Jinsik PARK ; Rak Kyeong CHOI ; Byung Hee OH
Korean Circulation Journal 2019;49(7):629-639
BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF). METHODS: The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data. RESULTS: The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF. CONCLUSIONS: The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.
Artificial Intelligence
;
Early Diagnosis
;
Echocardiography
;
Electrocardiography
;
Forests
;
Heart Failure
;
Heart
;
Humans
;
Learning
;
Logistic Models
;
Machine Learning
;
Mass Screening
;
ROC Curve
3.Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
Joon myoung KWON ; Kyung Hee KIM ; Ki Hyun JEON ; Hyue Mee KIM ; Min Jeong KIM ; Sung Min LIM ; Pil Sang SONG ; Jinsik PARK ; Rak Kyeong CHOI ; Byung Hee OH
Korean Circulation Journal 2019;49(7):629-639
BACKGROUND AND OBJECTIVES:
Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF).
METHODS:
The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data.
RESULTS:
The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF.
CONCLUSIONS
The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.
4.High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea
Joon myoung KWON ; Ki Hyun JEON ; Hyue Mee KIM ; Min Jeong KIM ; Sungmin LIM ; Kyung Hee KIM ; Pil Sang SONG ; Jinsik PARK ; Rak Kyeong CHOI ; Byung Hee OH
Korean Circulation Journal 2019;49(10):945-956
BACKGROUND AND OBJECTIVES:
This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea.
METHODS:
We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday).
RESULTS:
OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays.
CONCLUSIONS
The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.
5.Sex differences in clinical characteristics and long-term outcome in patients with heart failure: data from the KorAHF registry
Hyue Mee KIM ; Hack-Lyoung KIM ; Myung-A KIM ; Hae-Young LEE ; Jin Joo PARK ; Dong-Ju CHOI ;
The Korean Journal of Internal Medicine 2024;39(1):95-109
Background/Aims:
Sex differences in the prognosis of heart failure (HF) have yielded inconsistent results, and data from Asian populations are even rare. This study aimed to investigate sex differences in clinical characteristics and long-term prognosis among Korean patients with HF.
Methods:
A total of 5,625 Korean patients hospitalized for acute HF were analyzed using a prospective multi-center registry database. Baseline clinical characteristics and long-term outcomes including HF readmission and death were compared between sexes.
Results:
Women were older than men and had worse symptoms with higher N-terminal pro B-type natriuretic peptide levels. Women had a significantly higher proportion of HF with preserved ejection fraction (HFpEF). There were no significant differences in in-hospital mortality and rate of guideline-directed medical therapies in men and women. During median follow- up of 3.4 years, cardiovascular death (adjusted hazard ratio [HR], 1.38; 95% confidence interval [CI], 1.07–1.78; p = 0.014), and composite outcomes of death and HF readmission (adjusted HR, 1.13; 95% CI, 1.01–1.27; p = 0.030) were significantly higher in men than women. When evaluating heart failure with reduced ejection fraction (HFrEF) and HFpEF separately, men were an independent risk factor of cardiovascular death in patients with HFrEF. Clinical outcome was not different between sexes in HFpEF.
Conclusions
In the Korean multi-center registry, despite having better clinical characteristics, men exhibited a higher risk of all-cause mortality and readmission for HF. The main cause of these disparities was the higher cardiovascular mortality rate observed in men compared to women with HFrEF.
6.Relation of Inappropriate Left Ventricular Hypertrophy on Framingham Risk Score and Vascular Stiffness in Hypertensive Women.
Hyue Mee KIM ; Ji Hyun JUNG ; Hak Seung LEE ; Chee Hae KIM ; Goo Yeong CHO
Journal of the Korean Society of Hypertension 2013;19(3):81-89
BACKGROUND: Although left ventricular hypertrophy (LVH) is a compensatory process to pressure overload, there are gender differences in left ventricular function and vascular stiffness in hypertension. We evaluated that inappropriate LVH was related with Framingham risk score (FRS) and vascular stiffness in hypertensive women. METHODS: Total 226 hypertensive women consecutively underwent carotid ultrasound and echocardiography, from which LV mass (LVM), carotid intima-media thickness (IMT) and beta-stiffness were measured. Inappropriate LVH was calculated by the ratio of observed LVM to the value predicted for sex, height and stroke work at rest and defined as > 128% of predicted. FRS was obtained using by National Cholesterol Education Program Adult Treatment Panel III. RESULTS: Of 226 subjects, 59 subjects (26%) had inappropriate LVH. As compared with appropriate LVH, subject with inappropriate LVH showed older age, higher FRS, and IMT. Although LV ejection fraction was not different, diastolic parameters of E/A ratio and left atrial volume were significantly worse in inappropriate LVH group. CONCLUSIONS: The presence of inappropriate LVH in hypertensive women was strongly associated with higher FRS, decreased diastolic function and increased IMT, which might influence future cardiovascular events.
Adult
;
Carotid Intima-Media Thickness
;
Echocardiography
;
Female*
;
Humans
;
Hypertension*
;
Hypertrophy, Left Ventricular*
;
Ultrasonography
;
Vascular Stiffness*
;
Ventricular Function, Left
7.A Case of Polycythemia Vera Presenting as an ST-Elevation Myocardial Infarction.
Chee Hae KIM ; Hyue Mee KIM ; Hak Seung LEE ; Ji Hyun JUNG ; Jung Won SUH
Korean Journal of Medicine 2015;88(2):192-196
Traditional risk factors for acute myocardial infarction are hypertension, diabetes, dyslipidemia, smoking, and a family history of coronary heart disease. Most acute myocardial infarction patients have at least one of these risk factors. Polycythemia vera is a rare etiological factor for acute myocardial infarction. Polycythemia vera leads to hyperviscous milieu of the blood and increased platelet activity, which increases the chance of thrombotic occlusion of coronary arteries. In this article we report a rare case of polycythemia vera presenting as an ST-elevation myocardial infarction without any traditional risk factors for cardiovascular disease.
Blood Platelets
;
Cardiovascular Diseases
;
Coronary Disease
;
Coronary Vessels
;
Dyslipidemias
;
Humans
;
Hypertension
;
Myocardial Infarction*
;
Polycythemia Vera*
;
Risk Factors
;
Smoke
;
Smoking
8.Infective Endocarditis Associated with Transcatheter Aortic Valve Replacement: Potential Importance of Local Trauma for a Deadly Nidus.
Hak Seung LEE ; Seung Pyo LEE ; Ji Hyun JUNG ; Hyue Mee KIM ; Chee Hae KIM ; Jun Bean PARK ; Hyung Kwan KIM ; Yong Jin KIM ; Hyo Soo KIM ; Dae Won SOHN
Journal of Cardiovascular Ultrasound 2014;22(3):134-138
Recently, transcatheter aortic valve replacement (TAVR) has emerged as an alternative for the treatment of severe symptomatic aortic stenosis patients. Although experience with TAVR is increasing exponentially, few cases of post-TAVR endocarditis are reported. We present a case of 76-year-old man with infective endocarditis after TAVR who was definitely diagnosed by echocardiography.
Aged
;
Aortic Valve Stenosis
;
Aortic Valve*
;
Echocardiography
;
Endocarditis*
;
Humans
9.Nonbacterial Thrombotic Endocarditis in a Patient with Bowel Infarction due to Mesenteric Vein Thrombosis.
Hyue Mee KIM ; Hack Lyoung KIM ; Hak Seung LEE ; Ji Hyun JUNG ; Chee Hae KIM ; Sooyeon OH ; Jung Ho KIM ; Joo Hee ZO
Korean Circulation Journal 2014;44(3):189-192
Ante mortem cases of venous thrombosis in patients with nonbacterial thrombotic endocarditis (NBTE) have not yet been reported. We describe a rare case of NBTE in a patient with mesenteric vein thrombosis. A healthy 37-year-old man with abdominal pain and fever underwent emergency small bowel resection due to bowel ischemia resulting from mesenteric vein thrombosis. Transthoracic echocardiography revealed multiple mobile masses attached to the anterior leaflet of the mitral valves and their chordae tendineae. On suspicion of infective endocarditis, the cardiac masses were excised through open-heart surgery. However, pathologic reviews were compatible with NBTE. The patient was stable after the cardiac surgery and was treated with warfarin. Laboratory and imaging findings regarding his hypercoagulable condition were all negative.
Abdominal Pain
;
Adult
;
Ants
;
Chordae Tendineae
;
Echocardiography
;
Emergencies
;
Endocarditis*
;
Endocarditis, Non-Infective
;
Fever
;
Humans
;
Infarction*
;
Ischemia
;
Mesenteric Veins*
;
Mitral Valve
;
Thoracic Surgery
;
Thrombosis*
;
Venous Thrombosis
;
Warfarin
10.A Case of Prosthetic Valve Endocarditis with Pseudoaneurysm Formation Caused by Haemophilus parainfluenzae.
Ji Hyun JUNG ; Hack Lyoung KIM ; Hyue Mee KIM ; Hak Seung LEE ; Chee Hae KIM ; Hong Mi CHOI ; Joo Hee ZO
Korean Journal of Medicine 2014;87(5):589-592
Prosthetic valve endocarditis (PVE) caused by Haemophilus parainfluenzae (H. parainfluenzae) is very rare. Here, we report a case of H. parainfluenzae PVE that developed following the Bentall procedure complicated by a pseudoaneurysm and cerebral emboli. A diagnosis was delayed in this case because of the slow-growing nature of the organism and the unusual clinical presentation.
Aneurysm, False*
;
Diagnosis
;
Endocarditis*
;
Haemophilus parainfluenzae*
;
Heart Valve Prosthesis
;
Intracranial Embolism
;
Paramyxoviridae Infections