Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386003502> ?p ?o ?g. }
- W4386003502 endingPage "73" @default.
- W4386003502 startingPage "61" @default.
- W4386003502 abstract "Biomarkers may improve prediction of cardiovascular events for patients with stable coronary artery disease (CAD), but their importance in addition to clinical tests of inducible ischemia and CAD severity is unknown.To evaluate the prognostic value of multiple biomarkers in stable outpatients with obstructive CAD and moderate or severe inducible ischemia.The ISCHEMIA and ISCHEMIA CKD trials randomized 5,956 participants with CAD to invasive or conservative management from July 2012 to January 2018; 1,064 participated in the biorepository.Primary outcome was cardiovascular death, myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest. Secondary outcome was cardiovascular death or MI. Improvements in prediction were assessed by cause-specific hazard ratios (HR) and area under the receiver operating characteristics curve (AUC) for an interquartile increase in each biomarker, controlling for other biomarkers, in a base clinical model of risk factors, left ventricular ejection fraction (LVEF) and ischemia severity. Secondary analyses were performed among patients in whom core-lab confirmed severity of CAD was ascertained by computed cardiac tomographic angiography (CCTA).Baseline levels of interleukin-6 (IL-6), high sensitivity troponin T (hsTnT), growth differentiation factor 15 (GDF-15), N-terminal pro-B-type natriuretic peptide (NT-proBNP), lipoprotein a (Lp[a]), high sensitivity C-reactive protein (hsCRP), Cystatin C, soluble CD 40 ligand (sCD40L), myeloperoxidase (MPO), and matrix metalloproteinase 3 (MMP3).Among 757 biorepository participants, median (IQR) follow-up was 3 (2-5) years, age was 67 (61-72) years, and 144 (19%) were female; 508 had severity of CAD by CCTA available. In an adjusted multimarker model with hsTnT, GDF-15, NT-proBNP and sCD40L, the adjusted HR for the primary outcome per interquartile increase in each biomarker was 1.58 (95% CI 1.22, 2.205), 1.60 (95% CI 1.16, 2.20), 1.61 (95% 1.22, 2.14), and 1.46 (95% 1.12, 1.90), respectively. The adjusted multimarker model also improved prediction compared with the clinical model, increasing the AUC from 0.710 to 0.792 (P < .01) and 0.714 to 0.783 (P < .01) for the primary and secondary outcomes, respectively. Similar findings were observed after adjusting for core-lab confirmed atherosclerosis severity.Among ISCHEMIA biorepository participants, biomarkers of myocyte injury/distension, inflammation, and platelet activity improved cardiovascular event prediction in addition to risk factors, LVEF, and assessments of ischemia and atherosclerosis severity. These biomarkers may improve risk stratification for patients with stable CAD." @default.
- W4386003502 created "2023-08-20" @default.
- W4386003502 creator A5019471027 @default.
- W4386003502 creator A5041446600 @default.
- W4386003502 creator A5044263870 @default.
- W4386003502 creator A5051674313 @default.
- W4386003502 creator A5052192365 @default.
- W4386003502 creator A5053327237 @default.
- W4386003502 creator A5054124194 @default.
- W4386003502 creator A5057739373 @default.
- W4386003502 creator A5058694015 @default.
- W4386003502 creator A5060026797 @default.
- W4386003502 creator A5063591215 @default.
- W4386003502 creator A5065025844 @default.
- W4386003502 creator A5068322349 @default.
- W4386003502 creator A5084498112 @default.
- W4386003502 creator A5084679654 @default.
- W4386003502 creator A5087154648 @default.
- W4386003502 date "2023-12-01" @default.
- W4386003502 modified "2023-10-12" @default.
- W4386003502 title "Biomarkers and cardiovascular events in patients with stable coronary disease in the ISCHEMIA Trials" @default.
- W4386003502 cites W180853016 @default.
- W4386003502 cites W1813115710 @default.
- W4386003502 cites W1979542100 @default.
- W4386003502 cites W1992557526 @default.
- W4386003502 cites W1997808420 @default.
- W4386003502 cites W2008706768 @default.
- W4386003502 cites W2010010077 @default.
- W4386003502 cites W2044883399 @default.
- W4386003502 cites W2077939548 @default.
- W4386003502 cites W2078148011 @default.
- W4386003502 cites W2110960391 @default.
- W4386003502 cites W2114586150 @default.
- W4386003502 cites W2129925362 @default.
- W4386003502 cites W2130373985 @default.
- W4386003502 cites W2135498889 @default.
- W4386003502 cites W2146077218 @default.
- W4386003502 cites W2146750866 @default.
- W4386003502 cites W2148583670 @default.
- W4386003502 cites W2159377744 @default.
- W4386003502 cites W2160133249 @default.
- W4386003502 cites W2162786223 @default.
- W4386003502 cites W2163917890 @default.
- W4386003502 cites W2164509334 @default.
- W4386003502 cites W2183038005 @default.
- W4386003502 cites W2270344555 @default.
- W4386003502 cites W2498004564 @default.
- W4386003502 cites W2545266774 @default.
- W4386003502 cites W2584255576 @default.
- W4386003502 cites W2603068256 @default.
- W4386003502 cites W2607324029 @default.
- W4386003502 cites W2743691476 @default.
- W4386003502 cites W2765461152 @default.
- W4386003502 cites W2765664486 @default.
- W4386003502 cites W2786712777 @default.
- W4386003502 cites W2801677840 @default.
- W4386003502 cites W2887879333 @default.
- W4386003502 cites W2908612362 @default.
- W4386003502 cites W2913705661 @default.
- W4386003502 cites W2916717962 @default.
- W4386003502 cites W2940456281 @default.
- W4386003502 cites W2941253250 @default.
- W4386003502 cites W2948662990 @default.
- W4386003502 cites W2972470504 @default.
- W4386003502 cites W3013648138 @default.
- W4386003502 cites W3014025744 @default.
- W4386003502 cites W3047348589 @default.
- W4386003502 cites W3120832788 @default.
- W4386003502 cites W3126167614 @default.
- W4386003502 cites W3133166137 @default.
- W4386003502 cites W3180177824 @default.
- W4386003502 cites W3199769651 @default.
- W4386003502 cites W4285798151 @default.
- W4386003502 doi "https://doi.org/10.1016/j.ahj.2023.08.007" @default.
- W4386003502 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37604357" @default.
- W4386003502 hasPublicationYear "2023" @default.
- W4386003502 type Work @default.
- W4386003502 citedByCount "0" @default.
- W4386003502 crossrefType "journal-article" @default.
- W4386003502 hasAuthorship W4386003502A5019471027 @default.
- W4386003502 hasAuthorship W4386003502A5041446600 @default.
- W4386003502 hasAuthorship W4386003502A5044263870 @default.
- W4386003502 hasAuthorship W4386003502A5051674313 @default.
- W4386003502 hasAuthorship W4386003502A5052192365 @default.
- W4386003502 hasAuthorship W4386003502A5053327237 @default.
- W4386003502 hasAuthorship W4386003502A5054124194 @default.
- W4386003502 hasAuthorship W4386003502A5057739373 @default.
- W4386003502 hasAuthorship W4386003502A5058694015 @default.
- W4386003502 hasAuthorship W4386003502A5060026797 @default.
- W4386003502 hasAuthorship W4386003502A5063591215 @default.
- W4386003502 hasAuthorship W4386003502A5065025844 @default.
- W4386003502 hasAuthorship W4386003502A5068322349 @default.
- W4386003502 hasAuthorship W4386003502A5084498112 @default.
- W4386003502 hasAuthorship W4386003502A5084679654 @default.
- W4386003502 hasAuthorship W4386003502A5087154648 @default.
- W4386003502 hasConcept C119060515 @default.
- W4386003502 hasConcept C126322002 @default.
- W4386003502 hasConcept C164705383 @default.