Publications by authors named "G Giannopoulos"

Background: Atrial fibrillation (AF) is the commonest supraventricular arrhythmia in adults. Timely AF diagnosis seems to ameliorate patients prognosis.

Purpose: To investigate the association between peak left atrial longitudinal strain (PALS) and new onset AF in the general population.

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Article Synopsis
  • * In a study of 85 patients with paroxysmal AF, those categorized by BMI (normal, overweight, and obese) showed similar recurrence rates of AF, but obese patients reported better symptom improvement after CBA.
  • * Obese patients had longer procedure times and greater radiation exposure during CBA, while early AF recurrence and hypertension duration were identified as key predictors of later AF recurrence.
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Background: The precise triggers for atherosclerotic plaque rupture and the underlying pathophysiology of coronary thrombogenesis remain elusive. Polymorphonuclear neutrophils, particularly their formation of neutrophil extracellular traps (NETs), have garnered attention in the context of coronary atherothrombosis. This study sought to explore the association of NETs burden with clinical and angiographic characteristics in ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (pPCI) and thrombus aspiration (TA).

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Telecommunication (telco) cloud services have emerged as crucial components in the modern digital landscape, offering extensive capabilities for data management, connectivity, and service provision. However, research on telco clouds lacks comprehensive data on the characteristics of production workloads, which is fundamental for designing effective resource management systems, such as workload schedulers and power management mechanisms. To this end, this paper addresses a substantial gap in telco cloud research by creating a comprehensive dataset that encapsulates crucial information regarding the pattern demands of applications within telco data centers.

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Background: Left atrial (LA) fibrosis has been shown to be associated with atrial fibrillation (AF) recurrence. Beat-to-beat (B2B) index is a non-invasive classifier, based on B2B P-wave morphological and wavelet analysis, shown to be associated with AF incidence and recurrence. In this study, we tested the hypothesis that the B2B index is associated with the extent of LA low-voltage areas (LVAs) on electroanatomical mapping.

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