Publications by authors named "H Alejandro Arevalo"

Article Synopsis
  • This study examines how the distribution of vernix caseosa, a fatty substance surrounding the fetus, affects the accuracy of non-invasive fetal ECG monitoring during pregnancy, which is crucial for early detection of fetal health issues.
  • A multi-compartment model simulating both fetal and maternal elements was used to analyze fetal cardiac signals under varying conditions of vernix caseosa, revealing its influence primarily in signal strength and ECG morphology.
  • Findings indicate that while the presence of vernix caseosa typically does not significantly disrupt ECG readings, it can notably affect the interpretation of the T/QRS ratio, emphasizing the need for careful analysis in clinical settings.
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Background: The electrophysiological mechanism connecting mitral valve prolapse (MVP), premature ventricular complexes and life-threatening ventricular arrhythmia is unknown. A common hypothesis is that stretch activated channels (SACs) play a significant role. SACs can trigger depolarizations or shorten repolarization times in response to myocardial stretch.

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Computational techniques have significantly advanced our understanding of cardiac electrophysiology, yet they have predominantly concentrated on averaged models that do not represent the intricate dynamics near individual cardiomyocytes. Recently, accurate models representing individual cells have gained popularity, enabling analysis of the electrophysiology at the micrometer level. Here, we evaluate five mathematical models to determine their computational efficiency and physiological fidelity.

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Systemic sclerosis, a severe inflammatory autoimmune disease, shares a common thread with cancer through the underlying mechanism of inflammation. This inflammatory milieu not only drives the immune dysregulation characteristic of autoimmune diseases but also plays a pivotal role in the pathogenesis of cancer. Among the cellular components involved, B cells have emerged as key players in hematologic tumor and autoimmune disease, contributing to immune dysregulation and persistent tissue fibrosis in systemic sclerosis, as well as tumor progression and immune evasion in cancer.

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Patients with non-ischemic cardiomyopathy (NICM) are at risk for ventricular arrhythmias, but diagnosis and treatment planning remain a serious clinical challenge. Although computational modeling has provided valuable insight into arrhythmic mechanisms, the optimal method for simulating reentry in NICM patients with structural disease is unknown. Here, we compare the effects of fibrotic representation on both reentry initiation and reentry morphology in patient-specific cardiac models.

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