This research was aimed at analyzing the application value of echocardiography and QuickOpt algorithm in optimizing parameters of cardiac resynchronization therapy (CRT) in elderly patients with heart failure. 50 elderly patients who were diagnosed with chronic heart failure and underwent CRT were chosen as the research objects. According to the different optimization methods, the patients were divided into the echocardiography group and QuickOpt algorithm group, 25 cases in each group. The general data, optimized intervals, corresponding maximum aortic velocity time integrals (aVTIs), cardiac ultrasound indicators, and ventricular arrhythmia episodes of the patients in the two groups were analyzed. The results showed that there was no significant difference in the optimized sensed atrioventricular (SAV), paced atrioventricular (PAV), and ventricle to ventricle (VV) intervals and the corresponding aVTIs obtained by echocardiography and QuickOpt ( > 0.05). The consistency analysis revealed that the aVTIs in the SAV, PAV, and VV intervals presented a good consistency ( < 0.01), which were obtained by the echocardiography and QuickOpt functional optimization; the concordance correlation coefficient (CCC) in them was 96.16%, 98.03%, and 95.48%, respectively. The left ventricular ejection fraction (LVEF) showed an increasing trend over time in both groups, while the left ventricular end systolic volume (LVESV), left ventricular end diastolic volume (LVEDV), and morphological right ventricle (MRV) showed the downward trends over time, and the differences between two groups were not significant ( > 0.05). For the premature ventricular contraction (PVC) of ventricular arrhythmia episodes, there was no significant difference between the two groups in (PVCs) and (PVC runs) ( > 0.05). It was also found that both echocardiography and QuickOpt algorithm could improve the cardiac function of patients with heart failure significantly and reduce ventricular arrhythmia episodes and ventricular remodeling via optimized CRT; there was no difference in the improvement effect of the two optimization methods. However, echocardiography was inferior to QuickOpt algorithm in terms of time-consuming optimization in the intervals. This provided a reference for the clinical diagnosis and treatment of elderly patients with heart failure.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197669 | PMC |
http://dx.doi.org/10.1155/2022/8680446 | DOI Listing |
ESC Heart Fail
March 2025
Institute of Health Informatics Research, University College London, London, UK.
Aims: Atrial fibrillation (AF) is a frequent comorbidity in heart failure (HF). We analysed factors associated with new-onset atrial fibrillation in patients with heart failure using linked real-world UK data from primary and secondary care, along with findings from genome-wide association studies.
Methods And Results: Among 163 174 participants with a diagnosis of HF (January 1998 to May 2016) from Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES), 111 595 participants had no previous history of AF (mean age 76.
JACC Cardiovasc Interv
March 2025
Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center, University of Duisburg-Essen, Essen, Germany.
A global treatment algorithm was developed for the endovascular revascularization of femoropopliteal lesions and chronic total occlusions, aiming toward a more standardized approach to endovascular treatment in patients with peripheral artery disease. The following steps are proposed. 1) Evaluation of lesion morphology based on preprocedural imaging by Duplex sonography and intravenous ultrasound for selection of lesion preparation tools.
View Article and Find Full Text PDFChest
March 2025
University of Sousse, Faculty of Medicine of Sousse, Farhat HACHED Hospital, Heart Failure (LR12SP09) Research Laboratory, Sousse, Tunisia. Electronic address:
J Am Coll Cardiol
March 2025
University of Mississippi, Jackson, Mississippi, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!