Background: Coronary heart disease (CHD) is one of the manifestations of atherosclerosis with a high morbidity rate. MicroRNA (miRNA)-146a rs2910164, a single nucleotide polymorphism, is associated with the progression of CHD risk. However, the results are controversial and uncertain. Therefore, an updated meta-analysis was conducted to evaluate the association between rs2910164 and CHD susceptibility.
Methods: PubMed, Cochrane Library, EMBASE, Web of Science, China's National Knowledge Infrastructure, VIP, and Wan fang were searched for the eligible articles until April 30, 2022. The odds ratios (ORs) with 95% confidence interval (CIs) were calculated to assess the correlation. Bonferroni correction was utilized between multiple comparisons. Trial sequential analysis was performed to measure the required information size and assess the reliability of the meta-analysis results.
Results: A total of 18 eligible studies, including 6859 cases and 8469 controls, were analyzed in our meta-analysis. After Bonferroni correction, we found that the G allele at rs2910164 was associated with significantly decreased CHD risk in the allelic model (OR = 0.86), homozygous model (OR = 0.79), and heterozygous model (OR = 0.89) in total population. In the subgroup analysis, the subjects containing the G allele and GG genotype were associated with a lower risk of CHD in the Chinese population, not the GG + CG and CG genotype. In addition, under the allelic, homozygous, heterozygous, and dominant models, miR-146a rs2910164 was at lower CHD risk in the large size population except in the recessive model.
Conclusion: These results show that miR-146a rs2910164 might be associated with lower CHD susceptibility.
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http://dx.doi.org/10.1097/MD.0000000000031860 | DOI Listing |
JAMA Netw Open
January 2025
Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora.
Importance: A recent advisory from the American Heart Association delineated the potential benefits of developmental care for hospitalized children with congenital heart disease (CHD) and a critical gap in research evaluating the association of such inpatient programs with neurodevelopmental outcomes.
Objective: To investigate associations between the Cardiac Inpatient Neurodevelopmental Care Optimization (CINCO) program interventions, delirium, and neurodevelopment in young children (newborn through age 2 years) hospitalized with CHD.
Design, Setting, And Participants: This cohort study used quality improvement data from inpatient cardiac units at a tertiary care children's hospital in the US.
J Diabetes Investig
January 2025
Department of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Aim: To determine the epidemiological characteristics and risk factors for heart failure (HF) among Japanese patients with type 2 diabetes.
Methods: A retrospective cohort analysis, using J-DREAMS database, was conducted from December 2015 to January 2020 with type 2 diabetes. The primary objectives were to describe patient characteristics stratified by HF history at baseline and new HF events during follow-up.
Front Cardiovasc Med
January 2025
Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, Fujian, China.
Background: Depression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machine learning (ML) model that will analyze risk factors and forecast the probability of coronary heart disease in individuals suffering from depression.
View Article and Find Full Text PDFRofo
January 2025
Department of Radiology and Nuclear Medicine, Heidelberg University Medical Faculty Mannheim, Mannheim, Germany.
The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause of death has led to an adaptation of the guidelines with a focus on cardiac computed tomography (CCTA) in patients with a low to intermediate risk of coronary heart disease (CHD). In particular, the introduction of photon-counting computed tomography (PCCT) in CT diagnostics promises significant advances through higher temporal and spatial resolution, and also enables advanced texture analysis, known as radiomics analysis. Originally developed in oncological imaging, radiomics analysis is increasingly being used in cardiac imaging and research.
View Article and Find Full Text PDFEur J Prev Cardiol
January 2025
Department of Cardiology, Kailuan General Hospital, Tangshan 063001, Hebei, CN.
Background: The precise pathways connecting insulin resistance (IR) to atherosclerotic cardiovascular disease (ASCVD) remain undefined. The present study aimed to examine the mediating role of arterial stiffness in the association between IR and ASCVD, providing epidemiology insights into the potential mechanisms driving IR to incident ASCVD.
Methods: A total of 59,777 participants from the Kailuan Study Arterial Stiffness Subcohort who were free of ASCVD at baseline were enrolled in the present study.
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