Elevated On-Treatment Diastolic Blood Pressure and Cardiovascular Outcomes in the Presence of Achieved Systolic Blood Pressure Targets

Background and Objectives@#This study aimed to investigate the association between cardiovascular events and 2 different levels of elevated on-treatment diastolic blood pressures (DBP) in the presence of achieved systolic blood pressure targets (SBP). @*Methods@#A nation-wide population-based cohort study comprised 237,592 patients with hypertension treated. The primary endpoint was a composite of cardiovascular death, myocardial infarction, and stroke. Elevated DBP was defined according to the Seventh Report of Joint National Committee (JNC7; SBP <140 mmHg, DBP ≥90 mmHg) or to the 2017 American College of Cardiology/American Heart Association (ACC/AHA) definitions (SBP <130 mmHg, DBP ≥80 mmHg). @*Results@#During a median follow-up of 9 years, elevated on-treatment DBP by the JNC7 definition was associated with an increased risk of the occurrence of primary endpoint compared with achieved both SBP and DBP (adjusted hazard ratio [aHR], 1.14; 95% confidence interval [CI], 1.05–1.24) but not in those by the 2017 ACC/AHA definition. Elevated ontreatment DBP by the JNC7 definition was associated with a higher risk of cardiovascular mortality (aHR, 1.42; 95% CI, 1.18–1.70) and stroke (aHR, 1.19; 95% CI, 1.08–1.30). Elevated on-treatment DBP by the 2017 ACC/AHA definition was only associated with stroke (aHR, 1.10;95% CI, 1.04–1.16). Similar results were seen in the propensity-score-matched cohort. @*Conclusion@#Elevated on-treatment DBP by the JNC7 definition was associated a high risk of major cardiovascular events, while elevated DBP by the 2017 ACC/AHA definition was only associated with a higher risk of stroke. The result of study can provide evidence of DBP targets in subjects who achieved SBP targets.

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

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.

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

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.

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

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.

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

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.

A Case of Polycythemia Vera Presenting as an ST-Elevation Myocardial Infarction / 대한내과학회지

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.

A Case of Prosthetic Valve Endocarditis with Pseudoaneurysm Formation Caused by Haemophilus parainfluenzae / 대한내과학회지

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.

A Case of Prosthetic Valve Endocarditis with Pseudoaneurysm Formation Caused by Haemophilus parainfluenzae / 대한내과학회지

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.

Infective Endocarditis Associated with Transcatheter Aortic Valve Replacement: Potential Importance of Local Trauma for a Deadly Nidus

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.

Nonbacterial Thrombotic Endocarditis in a Patient with Bowel Infarction due to Mesenteric Vein Thrombosis

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.

Relation of Inappropriate Left Ventricular Hypertrophy on Framingham Risk Score and Vascular Stiffness in Hypertensive Women

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.