FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312019224> ?p ?o ?g. }

• W4312019224 endingPage "114" @default.
• W4312019224 startingPage "106" @default.
• W4312019224 abstract "Abstract Aims Our goal was to evaluate a previously validated artificial intelligence–augmented electrocardiography (AI-ECG) screening tool for left ventricular systolic dysfunction (LVSD) in patients undergoing high-sensitivity-cardiac troponin T (hs-cTnT). Methods and results Retrospective application of AI-ECG for LVSD in emergency department (ED) patients undergoing hs-cTnT. AI-ECG scores (0–1) for probability of LVSD (left ventricular ejection fraction ≤ 35%) were obtained. An AI-ECG score ≥0.256 indicates a positive screen. The primary endpoint was a composite of post-discharge major adverse cardiovascular events (MACEs) at two years follow-up. Among 1977 patients, 248 (13%) had a positive AI-ECG. When compared with patients with a negative AI-ECG, those with a positive AI-ECG had a higher risk for MACE [48 vs. 21%, P &lt; 0.0001, adjusted hazard ratio (HR) 1.39, 95% confidence interval (CI) 1.11–1.75]. This was largely because of a higher rate of deaths (32 vs. 14%, P &lt; 0.0001; adjusted HR 1.26, 95% 0.95–1.66) and heart failure hospitalizations (26 vs. 6.1%, P &lt; 0.001; adjusted HR 1.75, 95% CI 1.25–2.45). Together, hs-cTnT and AI-ECG resulted in the following MACE rates and adjusted HRs: hs-cTnT &lt; 99th percentile and negative AI-ECG: 116/1176 (11%; reference), hs-cTnT &lt; 99th percentile and positive AI-ECG: 28/107 (26%; adjusted HR 1.54, 95% CI 1.01–2.36), hs-cTnT &gt; 99th percentile and negative AI-ECG: 233/553 (42%; adjusted HR 2.12, 95% CI 1.66, 2.70), and hs-cTnT &gt; 99th percentile and positive AI-ECG: 91/141 (65%; adjusted HR 2.83, 95% CI 2.06, 3.87). Conclusion Among ED patients evaluated with hs-cTnT, a positive AI-ECG for LVSD identifies patients at high risk for MACE. The conjoint use of hs-cTnT and AI-ECG facilitates risk stratification." @default.
• W4312019224 created "2023-01-03" @default.
• W4312019224 creator A5007962503 @default.
• W4312019224 creator A5020289692 @default.
• W4312019224 creator A5025092589 @default.
• W4312019224 creator A5028873677 @default.
• W4312019224 creator A5035167986 @default.
• W4312019224 creator A5039045541 @default.
• W4312019224 creator A5045905888 @default.
• W4312019224 creator A5074046901 @default.
• W4312019224 creator A5075187080 @default.
• W4312019224 creator A5080672977 @default.
• W4312019224 creator A5086294602 @default.
• W4312019224 date "2022-12-20" @default.
• W4312019224 modified "2023-10-14" @default.
• W4312019224 title "Artificial intelligence–augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T" @default.
• W4312019224 cites W2095447537 @default.
• W4312019224 cites W2124624517 @default.
• W4312019224 cites W2206023369 @default.
• W4312019224 cites W2531848495 @default.
• W4312019224 cites W2553752952 @default.
• W4312019224 cites W2736883483 @default.
• W4312019224 cites W2746047974 @default.
• W4312019224 cites W2767629044 @default.
• W4312019224 cites W2901226889 @default.
• W4312019224 cites W2919098904 @default.
• W4312019224 cites W2944434778 @default.
• W4312019224 cites W2999049190 @default.
• W4312019224 cites W3047391569 @default.
• W4312019224 cites W3096743003 @default.
• W4312019224 cites W3157188720 @default.
• W4312019224 cites W3159560336 @default.
• W4312019224 cites W3162195278 @default.
• W4312019224 cites W3186730245 @default.
• W4312019224 cites W3193598686 @default.
• W4312019224 cites W3215797298 @default.
• W4312019224 cites W4226335621 @default.
• W4312019224 cites W4238277289 @default.
• W4312019224 cites W4283075379 @default.
• W4312019224 doi "https://doi.org/10.1093/ehjacc/zuac156" @default.
• W4312019224 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36537652" @default.
• W4312019224 hasPublicationYear "2022" @default.
• W4312019224 type Work @default.
• W4312019224 citedByCount "2" @default.
• W4312019224 countsByYear W43120192242022 @default.
• W4312019224 countsByYear W43120192242023 @default.
• W4312019224 crossrefType "journal-article" @default.
• W4312019224 hasAuthorship W4312019224A5007962503 @default.
• W4312019224 hasAuthorship W4312019224A5020289692 @default.
• W4312019224 hasAuthorship W4312019224A5025092589 @default.
• W4312019224 hasAuthorship W4312019224A5028873677 @default.
• W4312019224 hasAuthorship W4312019224A5035167986 @default.
• W4312019224 hasAuthorship W4312019224A5039045541 @default.
• W4312019224 hasAuthorship W4312019224A5045905888 @default.
• W4312019224 hasAuthorship W4312019224A5074046901 @default.
• W4312019224 hasAuthorship W4312019224A5075187080 @default.
• W4312019224 hasAuthorship W4312019224A5080672977 @default.
• W4312019224 hasAuthorship W4312019224A5086294602 @default.
• W4312019224 hasConcept C126322002 @default.
• W4312019224 hasConcept C144469398 @default.
• W4312019224 hasConcept C164705383 @default.
• W4312019224 hasConcept C207103383 @default.
• W4312019224 hasConcept C2778198053 @default.
• W4312019224 hasConcept C2780040984 @default.
• W4312019224 hasConcept C2780400711 @default.
• W4312019224 hasConcept C2780739214 @default.
• W4312019224 hasConcept C36036425 @default.
• W4312019224 hasConcept C44249647 @default.
• W4312019224 hasConcept C500558357 @default.
• W4312019224 hasConcept C71924100 @default.
• W4312019224 hasConcept C78085059 @default.
• W4312019224 hasConcept C8880881 @default.
• W4312019224 hasConceptScore W4312019224C126322002 @default.
• W4312019224 hasConceptScore W4312019224C144469398 @default.
• W4312019224 hasConceptScore W4312019224C164705383 @default.
• W4312019224 hasConceptScore W4312019224C207103383 @default.
• W4312019224 hasConceptScore W4312019224C2778198053 @default.
• W4312019224 hasConceptScore W4312019224C2780040984 @default.
• W4312019224 hasConceptScore W4312019224C2780400711 @default.
• W4312019224 hasConceptScore W4312019224C2780739214 @default.
• W4312019224 hasConceptScore W4312019224C36036425 @default.
• W4312019224 hasConceptScore W4312019224C44249647 @default.
• W4312019224 hasConceptScore W4312019224C500558357 @default.
• W4312019224 hasConceptScore W4312019224C71924100 @default.
• W4312019224 hasConceptScore W4312019224C78085059 @default.
• W4312019224 hasConceptScore W4312019224C8880881 @default.
• W4312019224 hasIssue "2" @default.
• W4312019224 hasLocation W43120192241 @default.
• W4312019224 hasLocation W43120192242 @default.
• W4312019224 hasOpenAccess W4312019224 @default.
• W4312019224 hasPrimaryLocation W43120192241 @default.
• W4312019224 hasRelatedWork W1973182747 @default.
• W4312019224 hasRelatedWork W2089715561 @default.
• W4312019224 hasRelatedWork W2115768769 @default.
• W4312019224 hasRelatedWork W2370521005 @default.
• W4312019224 hasRelatedWork W2403763512 @default.
• W4312019224 hasRelatedWork W2772959399 @default.
• W4312019224 hasRelatedWork W3203913864 @default.

• next