WeChat Mini Program
Old Version Features
Activate VIP¥0.73/day
Master AI Research

Evaluating Procedural Performance: A Composite Outcome for Atrial Septal Defect and Patent Ductus Arteriosus Closures

Journal of the Society for Cardiovascular Angiography & Interventions(2025)

Cited 0|Views2
Abstract
Background Technical success (TS) and procedural safety (PS) have been reported individually for transcatheter atrial septal defect (ASD) and patent ductus arteriosus (PDA) closures. A composite procedural performance (PP) metric as a patient-centered strategy has not been developed or studied. Methods A multicenter expert working group created PP metrics for ASD and PDA device closures as a composite of TS and PS. TS criteria were defined and categorized into 3 classes (optimal, satisfactory, and unsatisfactory). PS was defined using established adverse event (AE) definitions from the Congenital Cardiac Catheterization Project on Outcomes (C3PO) registry. PP was divided into 3 outcome classes (I to III). Retrospective C3PO data were collected for all cases of isolated ASD and PDA closure from 2014 through 2017. Exclusion criteria included complex congenital heart disease, significant comorbidities, ASD patients with multiple defects or ≥2 deficient rims, and PDA patients weighing <6 kg or with pulmonary hypertension. Factors correlating with class III (suboptimal) PP were analyzed. Results A total of 542 ASD and 688 PDA closure cases were included. Most ASD cases (99%) had optimal or satisfactory TS while 1% had a high severity AE. Class III PP occurred in 2% of ASD cases, mostly due to new mitral valve insufficiency. There were no identified patient or procedural factors associated with class III PP for ASD closures. Optimal or satisfactory TS occurred in 98% of PDA cases, with high severity AEs in <1%. Class III PP occurred in 2% of PDA cases, predominantly due to new arch obstruction, and was associated with younger age (P < .001) and lower weight (P = .001). Conclusions This study introduces PP as a composite variable to comprehensively measure outcomes of standard-risk ASD and PDA device closure. The incorporation of both TS and PS aims to better reflect patient outcomes compared to individual measurements alone. PP may serve as a valuable tool for identifying areas for further investigation and quality improvement.
More
Translated text
Key words
atrial septal defect closure,patient ductus arteriosus occlusion,procedural performance
上传PDF
Bibtex
收藏
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined