Publications by authors named "R Ariga"
Proper nurse placement is crucial for enhancing the performance and quality of health services. This study aims to explore in-depth the relationship between nurse placement and performance in order to promote nursing excellence. A quantitative analysis was conducted using a descriptive correlational methodology.
View Article and Find Full Text PDFMyocardial Disarray and Fibrosis across Hypertrophic Cardiomyopathy Stages Associate with ECG Markers of Arrhythmic Risk.
Eur Heart J Cardiovasc Imaging
October 2024
Article Synopsis
- Myocardial disarray, linked to arrhythmia risk, was studied in patients with prehypertrophic sarcomeric variants (SARC+LVH-) and hypertrophic cardiomyopathy (HCM) using diffusion tensor cardiac MRI (DT-CMR).
- Results showed reduced diastolic fractional anisotropy (FA) and prolonged corrected JT intervals (JTc) in both patient groups compared to controls, suggesting that both conditions exhibit signs of myocardial disarray.
- The study highlighted that lower FA and higher extracellular volume (ECV) correlate with prolonged repolarization, and the JT interval proves effective in distinguishing SARC+LVH- patients from controls and linking to HCM-related sudden cardiac death risk.
Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension.
Circ Cardiovasc Imaging
August 2024
Background: Left ventricular (LV) hypertrophy occurs in both aortic stenosis (AS) and systemic hypertension (HTN) in response to wall stress. However, differentiation of hypertrophy due to these 2 etiologies is lacking. The aim was to study the 3-dimensional geometric remodeling pattern in severe AS pre- and postsurgical aortic valve replacement and to compare with HTN and healthy controls.
View Article and Find Full Text PDFAims: Recently, deep learning artificial intelligence (AI) models have been trained to detect cardiovascular conditions, including hypertrophic cardiomyopathy (HCM), from the 12-lead electrocardiogram (ECG). In this external validation study, we sought to assess the performance of an AI-ECG algorithm for detecting HCM in diverse international cohorts.
Methods And Results: A convolutional neural network-based AI-ECG algorithm was developed previously in a single-centre North American HCM cohort (Mayo Clinic).
Aortic stenosis (AS) and hypertrophic cardiomyopathy (HCM) are distinct disorders leading to left ventricular hypertrophy (LVH), but whether cardiac metabolism substantially differs between these in humans remains to be elucidated. We undertook an invasive (aortic root, coronary sinus) metabolic profiling in patients with severe AS and HCM in comparison with non-LVH controls to investigate cardiac fuel selection and metabolic remodeling. These patients were assessed under different physiological states (at rest, during stress induced by pacing).
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