Evidence
Sci Rep. 2024 Apr 18;14(1):8951. doi: 10.1038/s41598-024-59114-3.
ABSTRACT
This study aims at identifying risk-related patterns of left ventricular contraction dynamics via novel volume transient characterization. A multicenter cohort of AMI survivors (n = 1021) who underwent Cardiac Magnetic Resonance (CMR) after infarction was considered for the study. The clinical endpoint was the 12-month rate of major adverse cardiac events (MACE, n = 73), consisting of all-cause death, reinfarction, and new congestive heart failure. Cardiac function was characterized from CMR in 3 potential directions: by (1) volume temporal transients (i.e. contraction dynamics); (2) feature tracking strain analysis (i.e. bulk tissue peak contraction); and (3) 3D shape analysis (i.e. 3D contraction morphology). A fully automated pipeline was developed to extract conventional and novel artificial-intelligence-derived metrics of cardiac contraction, and their relationship with MACE was investigated. Any of the 3 proposed directions demonstrated its additional prognostic value on top of established CMR indexes, myocardial injury markers, basic characteristics, and cardiovascular risk factors (P < 0.001). The combination of these 3 directions of enhancement towards a final CMR risk model improved MACE prediction by 13% compared to clinical baseline (0.774 (0.771-0.777) vs. 0.683 (0.681-0.685) cross-validated AUC, P < 0.001). The study evidences the contribution of the novel contraction characterization, enabled by a fully automated pipeline, to post-infarction assessment.
PMID:38637609 | DOI:10.1038/s41598-024-59114-3
Add to Google Keep
Estimated reading time: 4 minute(s)
Latest: Psychiatryai.com #RAISR4D
Cool Evidence: Engaging Young People and Students in Real-World Evidence ☀️
Real-Time Evidence Search [Psychiatry]
AI Research [Andisearch.com]
Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment
🌐 90 Days
Evidence Blueprint
Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence