Background And Objectives: The purpose of this study was to evaluate the usefulness of transesophageal echocardiography during the implantation of the CoreValve percutaneous aortic prosthesis and the influence of the learning curve in its indications.

Methods: From April 2008 to January 2010, 53 patients were treated for symptomatic severe aortic stenosis with a CoreValve percutaneous aortic prosthesis. Transesophageal echocardiography was performed during the procedure for two reasons: if a discrepancy between the measures of the aortic annulus arose before the implantation and to provide visualization if a complication occurred during the procedure. Patients were divided in to two groups based on the learning curve (group I:the first 25 patients, group II: all of the subsequent patients).

Results: Thirty-six transesophageal echocardiographies were performed on 28 patients (53%).In 15 cases the indication was to assist us in determining the proper sized prosthesis, and in the other 21 cases it was performed due to a complication during the procedure. The numbers of intraprocedure transesophageal echocardiographies were similar in both learning-curve groups, (64% in group I vs. 71% in group II, P = 0.56) but the proportion of the studies indicated by serious complications was significantly lower in the second period of the learning curve (67% in group I vs. 17% in group II, P < 0.05).

Conclusions: In our experience, transesophageal echocardiography was very useful in more than one-half of the patients during the implantation of the CoreValve percutaneous aortic prosthesis. After overcoming the learning curve, its indication due to serious procedure-related complications decreased significantly.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ccd.23370DOI Listing

Publication Analysis

Top Keywords

learning curve
20
transesophageal echocardiography
16
corevalve percutaneous
16
percutaneous aortic
16
aortic prosthesis
16
implantation corevalve
12
echocardiography implantation
8
prosthesis influence
8
influence learning
8
transesophageal echocardiographies
8

Similar Publications

The surgical risk is higher for obese patients undergoing laparoscopic left hemicolectomy. To enhance the surgical safety and efficacy for obese patients, we have innovatively integrated the advantages of various surgical approaches to modify a pancreas-guided C-shaped surgical procedure. The safety and quality were assessed through a retrospective analysis.

View Article and Find Full Text PDF

Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.

Pediatr Cardiol

January 2025

Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.

Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.

View Article and Find Full Text PDF

Background: Laparoscopic-assisted single-port mediastinoscopic esophagectomy is a safe and effective emerging minimally invasive esophagectomy, but little has been reported about the learning curve for this technology. The goal of the study was to determine the number of procedures to achieve different levels of proficiency on the learning curve.

Methods: This study retrospectively analyzed data from consecutive surgeries performed by the same surgeon at the same center from 2016 to 2021.

View Article and Find Full Text PDF

Are neurasthenia and depression the same disease entity? An electroencephalography study.

BMC Psychiatry

January 2025

Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.

Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).

View Article and Find Full Text PDF

Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!