Background: Clinical or echocardiographic mid-term responses to cardiac resynchronization therapy (CRT) may have a different influence on a long-term prognosis of heart failure patients treated with CRT. The aim of the evaluation was to establish which definition of response to CRT, clinical or echocardiographic, best predicts long-term prognosis.
Methods And Results: A total of 679 heart failure patients treated with CRT were included. All the patients underwent a complete history and physical examination and transthoracic echocardiogram prior to CRT implantation and at 6-month follow-up. The clinical and echocardiographic responses to CRT were defined based on clinical improvement (≥1 NYHA class) and LV reverse remodelling (reduction in LV end-systolic volume ≥15%) at 6-month follow-up, respectively. All the patients were prospectively followed up for the occurrence of death. The mean age was 65 ± 11 years and 79% of the patients were male. At 6-month follow-up, 510 (77%) patients showed clinical response to CRT and 412 (62%) patients showed echocardiographic response to CRT. During a mean follow-up of 37 ± 22 months, 140 (21%) patients died. Clinical and echocardiographic responses to CRT were both significantly related to all-cause mortality on univariable analysis. However, on multivariable Cox-regression analysis only echocardiographic response to CRT was independently associated with superior survival (hazard ratio: 0.38; 95% CI: 0.27-0.50; P < 0.001).
Conclusion: In a large population of heart failure patients treated with CRT, the reduction in LV end-systolic volume at the mid-term follow-up demonstrated to be a better predictor of long-term survival than improvement in the clinical status.
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http://dx.doi.org/10.1093/ehjci/jes290 | DOI Listing |
Sci Rep
January 2025
Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
This study investigated the correlation between quantitative echocardiographic characteristics within 3 days of birth and necrotizing enterocolitis (NEC) and its severity in preterm infants. A retrospective study was conducted on 168 preterm infants with a gestational age of < 34 weeks. Patients were categorized into NEC and non-NEC groups.
View Article and Find Full Text PDFJ Pediatr
January 2025
Department of Pediatrics, University of California, San Diego; Rady Children's Hospital, San Diego, CA. Electronic address:
Objective: To describe the clinical course and outcome of 33 patients with Kawasaki disease (KD) treated with cyclosporine (CSA) for coronary artery abnormalities (CAA) or treatment resistance.
Study Design: Single-center, retrospective study of patients with KD treated from 2013 through 2023 for CAA or treatment resistance. Demographics, laboratory studies, medications, adverse events, and echocardiographic data were analyzed.
Heart Rhythm
January 2025
Division of Cardiology, University of Ottawa Heart Institute, Canada. Electronic address:
Background: The assessment of left ventricular (LV) systolic function and quantification of LV ejection fraction (EF) in patients with atrial fibrillation (AF) can be difficult. We previously demonstrated that LV volume changes over the 100 ms of systole (LVEF) can be used as a measure of LV systolic function.
Objective: We sought to evaluate the applicability of LVEF in AF patients.
J Clin Med
January 2025
Rheumatology Unit, Department of Precision and Regenerative Medicine Jonian Area (DiPReMeJ), University of Bari "Aldo Moro", 70124 Bari, Italy.
Pulmonary arterial hypertension (PAH) is a complication of systemic sclerosis (SSc), and several screening algorithms have been proposed for the early detection of PAH in SSc. This study aimed to evaluate the predicting values of the DETECT algorithm for SSc-PAH screening in patients with SSc undergoing right heart catheterization (RHC) based on 2015 ESC/ERS echocardiographic criteria in a real-life setting. Patients fulfilling the 2013 ACR/EULAR classification criteria for SSc and with available data for PAH screening with the DETECT algorithm and the 2015 ESC/ERS echocardiographic criteria were retrospectively enrolled from January to June 2017 and then followed for 5 years.
View Article and Find Full Text PDFJ Clin Med
January 2025
Guthrie Cortland Medical Center, Cortland, NY 13045, USA.
Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.
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