Background: Readmission among patients with myocardial infarction is costly, and it has become a marker of quality of care. Therefore, factors related to readmission warrant examination.
Objective: This study aimed at examining factors influencing readmission in Thai with myocardial infarction.
Methods: This was a cross-sectional study with 200 participants randomly selected from five regional hospitals in Thailand. All research tools used indicated acceptable validity and reliability. Linear Structural Relationship version 8.72 was used for the data analysis.
Results: The findings showed that the hypothesized model with social support, depression, symptom severity, comorbidity, and quality of life could explain 4% ( = 0.04) of the variance in readmission ( = 1.39, = 2, p < 0.50, = 0.69, = 1.00, = 0.00, = 0.01, and = 0.98). Symptom severity was the most influential factor that had a positive and direct effect on the readmission rate (0.06, < 0.05).
Conclusion: These findings serve as an input to decrease readmission in patients with myocardial infarction by reducing the symptom severity and comorbidity and promoting a better quality of life.
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http://dx.doi.org/10.33546/bnj.1234 | DOI Listing |
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
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January 2025
Department of Cardiovascular Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 17 Yongwai Road, Nanchang, 330006, Jiangxi, China.
The study aimed to elucidate the underlying pharmacological mechanism of the traditional Chinese medicine Pue in ameliorating myocardial ischemia-reperfusion injury (MIRI), a critical clinical challenge exacerbated by reperfusion therapy. In vivo MIRI and in vitro anoxia/reoxygenation (A/R) models were constructed. The results demonstrated that Pue pretreatment effectively alleviated MIRI, as manifested by diminishing the levels of serum CK-MB and LDH, mitigating the extent of myocardial infarction and enhancing cardiac functionality.
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January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, People's Republic of China.
Previous observational studies have reported inconsistent associations between nut consumption and cardiovascular diseases (CVD). This study aims to identify the causal relationship between different types of nuts consumption and CVD, and to quantify the potential mediating effects of cardiometabolic factors. We utilized Genome-Wide Association Study (GWAS) data to assess the causal effects of nut consumption on CVD using two-sample Mendelian randomization (MR) and a two-step MR analysis.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 7, Copenhagen, 2100, Denmark.
Background: Glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment reduces cardiovascular events in type 2 diabetes. Yet, the impact of GLP-1RA treatment before ST-segment elevation myocardial infarction (STEMI) on long-term prognosis in patients with type 2 diabetes remains unclear. In patients with STEMI and type 2 diabetes, we aimed to investigate the association between long-term prognosis and GLP-1RA treatment before STEMI.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Radiology, Qujing No.1 Hospital, Kirin District Garden Road no. 1, Qujing, 655099, China.
Background: Left ventricular (LV) myocardial contraction patterns can be assessed using LV mechanical dispersion (LVMD), a parameter closely associated with electrical activation patterns. Despite its potential clinical significance, limited research has been conducted on LVMD following myocardial infarction (MI). This study aims to evaluate the predictive value of cardiac magnetic resonance (CMR)-derived LVMD for adverse clinical outcomes and to explore its correlation with myocardial scar heterogeneity.
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