Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362657046> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4362657046 endingPage "2388" @default.
- W4362657046 startingPage "2379" @default.
- W4362657046 abstract "Post-operative cardiac complications occur infrequently but contribute to mortality after liver transplantation (LT). Artificial intelligence-based algorithms based on electrocardiogram (AI-ECG) are attractive for use during pre-operative evaluation to screen for risk of post-operative cardiac complications, but their use for this purpose is unknown.The aim of this study was to evaluate the performance of an AI-ECG algorithm in predicting cardiac factors such as asymptomatic left ventricular systolic dysfunction or potential for developing post-operative atrial fibrillation (AF) in cohorts of patients with end-stage liver disease either undergoing evaluation for transplant or receiving a liver transplant.A retrospective study was performed in two consecutive adult cohorts of patients who were either evaluated for LT or underwent LT at a single center between 2017 and 2019. ECG were analyzed using an AI-ECG trained to recognize patterns from a standard 12-lead ECG which could identify the presence of left ventricular systolic dysfunction (LVEF < 50%) or subsequent atrial fibrillation.The performance of AI-ECG in patients undergoing LT evaluation is similar to that in a general population but was lower in the presence of prolonged QTc. AI-ECG analysis on ECG in sinus rhythm had an AUROC of 0.69 for prediction of de novo post-transplant AF. Although post-transplant cardiac dysfunction occurred in only 2.3% of patients in the study cohorts, AI-ECG had an AUROC of 0.69 for prediction of subsequent low left ventricular ejection fraction.A positive screen for low EF or AF on AI-ECG can alert to risk of post-operative cardiac dysfunction or predict new onset atrial fibrillation after LT. The use of an AI-ECG can be a useful adjunct in persons undergoing transplant evaluation that can be readily implemented in clinical practice." @default.
- W4362657046 created "2023-04-07" @default.
- W4362657046 creator A5008299307 @default.
- W4362657046 creator A5010951053 @default.
- W4362657046 creator A5042267425 @default.
- W4362657046 creator A5067833462 @default.
- W4362657046 creator A5079955240 @default.
- W4362657046 creator A5080886228 @default.
- W4362657046 creator A5087073629 @default.
- W4362657046 date "2023-04-06" @default.
- W4362657046 modified "2023-09-27" @default.
- W4362657046 title "Utility of an Artificial Intelligence Enabled Electrocardiogram for Risk Assessment in Liver Transplant Candidates" @default.
- W4362657046 cites W1523486891 @default.
- W4362657046 cites W1532263517 @default.
- W4362657046 cites W2012064188 @default.
- W4362657046 cites W2051565346 @default.
- W4362657046 cites W2116578643 @default.
- W4362657046 cites W2124624517 @default.
- W4362657046 cites W2131348155 @default.
- W4362657046 cites W2596902052 @default.
- W4362657046 cites W2783006152 @default.
- W4362657046 cites W2792444977 @default.
- W4362657046 cites W2898433302 @default.
- W4362657046 cites W2901226889 @default.
- W4362657046 cites W2919098904 @default.
- W4362657046 cites W2965520043 @default.
- W4362657046 cites W3006389498 @default.
- W4362657046 cites W3008117014 @default.
- W4362657046 cites W3082454539 @default.
- W4362657046 cites W3087663496 @default.
- W4362657046 cites W3098712771 @default.
- W4362657046 cites W3133470659 @default.
- W4362657046 cites W3217261033 @default.
- W4362657046 doi "https://doi.org/10.1007/s10620-023-07928-y" @default.
- W4362657046 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37022601" @default.
- W4362657046 hasPublicationYear "2023" @default.
- W4362657046 type Work @default.
- W4362657046 citedByCount "1" @default.
- W4362657046 countsByYear W43626570462023 @default.
- W4362657046 crossrefType "journal-article" @default.
- W4362657046 hasAuthorship W4362657046A5008299307 @default.
- W4362657046 hasAuthorship W4362657046A5010951053 @default.
- W4362657046 hasAuthorship W4362657046A5042267425 @default.
- W4362657046 hasAuthorship W4362657046A5067833462 @default.
- W4362657046 hasAuthorship W4362657046A5079955240 @default.
- W4362657046 hasAuthorship W4362657046A5080886228 @default.
- W4362657046 hasAuthorship W4362657046A5087073629 @default.
- W4362657046 hasBestOaLocation W43626570461 @default.
- W4362657046 hasConcept C126322002 @default.
- W4362657046 hasConcept C164705383 @default.
- W4362657046 hasConcept C2775914520 @default.
- W4362657046 hasConcept C2777910003 @default.
- W4362657046 hasConcept C2778198053 @default.
- W4362657046 hasConcept C2778921608 @default.
- W4362657046 hasConcept C2779161974 @default.
- W4362657046 hasConcept C2779609443 @default.
- W4362657046 hasConcept C2780040984 @default.
- W4362657046 hasConcept C2911091166 @default.
- W4362657046 hasConcept C71924100 @default.
- W4362657046 hasConcept C78085059 @default.
- W4362657046 hasConceptScore W4362657046C126322002 @default.
- W4362657046 hasConceptScore W4362657046C164705383 @default.
- W4362657046 hasConceptScore W4362657046C2775914520 @default.
- W4362657046 hasConceptScore W4362657046C2777910003 @default.
- W4362657046 hasConceptScore W4362657046C2778198053 @default.
- W4362657046 hasConceptScore W4362657046C2778921608 @default.
- W4362657046 hasConceptScore W4362657046C2779161974 @default.
- W4362657046 hasConceptScore W4362657046C2779609443 @default.
- W4362657046 hasConceptScore W4362657046C2780040984 @default.
- W4362657046 hasConceptScore W4362657046C2911091166 @default.
- W4362657046 hasConceptScore W4362657046C71924100 @default.
- W4362657046 hasConceptScore W4362657046C78085059 @default.
- W4362657046 hasIssue "6" @default.
- W4362657046 hasLocation W43626570461 @default.
- W4362657046 hasLocation W43626570462 @default.
- W4362657046 hasLocation W43626570463 @default.
- W4362657046 hasOpenAccess W4362657046 @default.
- W4362657046 hasPrimaryLocation W43626570461 @default.
- W4362657046 hasRelatedWork W2150788839 @default.
- W4362657046 hasRelatedWork W2348720246 @default.
- W4362657046 hasRelatedWork W2364196197 @default.
- W4362657046 hasRelatedWork W2885044340 @default.
- W4362657046 hasRelatedWork W2945739103 @default.
- W4362657046 hasRelatedWork W316168098 @default.
- W4362657046 hasRelatedWork W3186932410 @default.
- W4362657046 hasRelatedWork W3213905285 @default.
- W4362657046 hasRelatedWork W4224316522 @default.
- W4362657046 hasRelatedWork W4308053554 @default.
- W4362657046 hasVolume "68" @default.
- W4362657046 isParatext "false" @default.
- W4362657046 isRetracted "false" @default.
- W4362657046 workType "article" @default.