Background And Objectives: Understanding the trends in cardiovascular disease (CVD) mortality is important for developing burden reduction strategies. Based on the Cause of Death Statistics, we examined the changing patterns of CVD mortality in Korea between 1983 and 2018.
Methods: Causes of death were coded according to the International Classification of Disease, 10th revision. Deaths from all diseases of circulatory system (I00-I99) and the following 6 subcategories were analyzed: total heart diseases (I00-I13 and I20-I51), hypertensive heart diseases (I10-I13), ischemic heart diseases (I20-I25), myocardial infarction (I21-I23), heart failure (I50), and cerebrovascular diseases (I60-I69). Crude, age-standardized, and age-stratified rates were calculated to assess temporal trends in CVD mortality.
Results: The number of deaths and crude mortality rate for all diseases of circulatory system increased recently mainly due to the population ageing. Specifically, total heart diseases showed increasing trend, whereas cerebrovascular diseases showed decreasing trend. Between 1983 and 2018, age-standardized mortality rates significantly declined for all diseases of circulatory system, total heart diseases, hypertensive heart diseases, and cerebrovascular diseases. Age-standardized mortality rates for ischemic heart diseases and myocardial infarction peaked in the early 2000s then decreased thereafter. However, age-standardized mortality rate for heart failure rapidly increased, especially in recent years.
Conclusions: CVD mortality in Korea has remarkably decreased over the last 36 years. However, the recent rise in the absolute number of deaths from heart diseases, especially from heart failure, calls for attention in prevention and management of CVD and its sequelae.
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http://dx.doi.org/10.4070/kcj.2020.0424 | DOI Listing |
J Cardiovasc Imaging
January 2025
Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Background: There are insufficient studies to determine whether sodium-glucose cotransporter type 2 inhibitors (SGLT2i) will help reduce early diabetic cardiomyopathy, especially in patients without documented cardiovascular disease.
Methods: We performed a single center, prospective observation study. A total of 90 patients with type 2 diabetes patients without established heart failure or atherosclerotic cardiovascular disease were enrolled.
Orphanet J Rare Dis
January 2025
Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: There is no unified prognostic scoring system for light chain cardiac amyloidosis (AL-CA), particularly stage IIIb AL-CA. This study aimed to use invasive haemodynamic information to investigate markers that can more accurately evaluate the prognosis of patients with stage IIIb AL-CA.
Methods: In this retrospective cohort study, we conducted invasive haemodynamic measurements concurrently with myocardial biopsies to diagnose AL-CA.
Cardiovasc Diabetol
January 2025
Medical Big Data Center, Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China.
Background: Triglyceride-glucose (TyG) related indices, which serve as simple markers for insulin resistance, have been closely linked to metabolic dysfunction-associated steatotic liver disease (MASLD), cardiovascular disease (CVD), and mortality. However, the prognostic utility of TyG-related indices in predicting the risk of CVD and mortality among patients with MASLD remains unclear.
Methods: Data of 97,331 MASLD patients, with a median age of 58.
BMC Cardiovasc Disord
January 2025
Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai, China.
Background: Unlike non-rheumatic atrial fibrillation (AF), where left atrial thrombus (LAT) is predominantly confined to the left atrial appendage (LAA), a significant proportion of LAT in rheumatic AF occurs within the left atrial cavity (LAC). However, LAC thrombosis in rheumatic AF has not been extensively studied. This study aimed to evaluate the prevalence of LAT and its subtypes and identify potential predictors of LAT.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital of Capital Medical University, Beijing, 101100, China.
Background: MicroRNAs (miRNAs) are pivotal in the initiation and progression of complex human diseases and have been identified as targets for small molecule (SM) drugs. However, the expensive and time-intensive characteristics of conventional experimental techniques for identifying SM-miRNA associations highlight the necessity for efficient computational methodologies in this field.
Results: In this study, we proposed a deep learning method called Multi-source Data Fusion and Graph Neural Networks for Small Molecule-MiRNA Association (MDFGNN-SMMA) to predict potential SM-miRNA associations.
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