Aims: To evaluate the impact of right ventricular dysfunction (RVD) on outcome after transcatheter mitral valve repair (TMVR) in patients with chronic heart failure (CHF) and severe functional mitral regurgitation (FMR).
Methods And Results: One hundred thirty patients (median age 72.7 ± 10.7 years; 63.8% male) at high operative risk (LogEuroSCORE 23.8 ± 13.9%) with FMR and CHF (left ventricular ejection fraction 32 ± 7%) were enrolled and separated into two groups according to the RVD. RVD was assessed by the tricuspid annular plane systolic excursion (TAPSE) method (A: TAPSE ≤ 16 mm, n = 58; B: TAPSE > 16 mm, n = 72). The rate of successful reduction of mitral regurgitation (MR ≤2+) by TMVR was similar in both groups (94.6% vs 91.2%; P: n.s.) with low in-hospital major adverse event rates. During a median follow-up period of 10.5 ± 4 months, the Kaplan-Meier analysis revealed a significantly higher all-cause mortality in group A (43.1% vs 23.6%; log-rank P = 0.039) and a significantly higher rate of hospital readmission due to congestive heart failure (56.9% vs 26.4%; log-rank P < 0.001). At long-term follow-up, 25% of patients in group A remained in NYHA functional class IV (none in group B). Preexisting RVD as assessed by TAPSE and Doppler tissue imaging (DTI-S') was an independent predictor of all-cause mortality after TMVR (hazard ratio 2.84; 95% confidence interval 1.15-7.65; P = 0.039; hazard ratio 4.70; 95% confidence interval 1.14-20.21; P = 0.044, respectively).
Conclusions: Patients with CHF and RVD were with regard to functional capacity less often responder and showed an unfavorable long-term outcome. Thus, patients with CHF and RVD seem to benefit less frequently from TMVR.
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http://dx.doi.org/10.1111/joic.12566 | DOI Listing |
J Soc Cardiovasc Angiogr Interv
December 2024
Gore & Associates, Newark, Delaware.
Int J Surg
December 2024
Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Background: Description of the learning curve for transapical beating heart septal myectomy (TA-BSM) helps to understand the potential for wider adaptability. The authors elaborate and examine a competency-based training assessment for TA-BSM that could serve to disseminate septal myectomy expertise.
Materials And Methods: Data on 177 consecutive patients who underwent the TA-BSM for hypertrophic obstructive cardiomyopathy (HOCM) between April 2022 and June 2023 was collected prospectively, which was registered on ClinicalTrials.
BMC Cardiovasc Disord
January 2025
Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital Fudan University, Shanghai, China.
Background: Unlike non-rheumatic atrial fibrillation (AF), where left atrial thrombus (LAT) is predominantly confined to the left atrial appendage (LAA), a significant proportion of LAT in rheumatic AF occurs within the left atrial cavity (LAC). However, LAC thrombosis in rheumatic AF has not been extensively studied. This study aimed to evaluate the prevalence of LAT and its subtypes and identify potential predictors of LAT.
View Article and Find Full Text PDFAnn Thorac Cardiovasc Surg
January 2025
Division of Pediatric and Adult Congenital Cardiac Surgery, Maria Fareri Children's Hospital, Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
Mitral annular calcifications have been known to increase complexity during mitral valve replacement (MVR). Standard procedure requires decalcification followed by reconstruction of the mitral annulus prior to placing the prosthesis. While this is the ideal technique, it is not feasible in every patient due to the associated risks.
View Article and Find Full Text PDFJACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
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