Journal of the American College of Cardiology

Journal: Journal of the American College of Cardiology

Publisher

Elsevier

ISSN

0735-1097
1558-3597

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Publications1 - 10 of 14

Validation of Dynamic 3-Dimensional Whole Heart Magnetic Resonance Myocardial Perfusion Imaging Against Fractional Flow Reserve for the Detection of Significant Coronary Artery Disease
Jogiya, Roy; Kozerke, Sebastian; Morton, Geraint; et al. (2012)
Journal of the American College of Cardiology
Pulmonary Perfusion Imaging
Frechen, Dirk; Krüger, Stefan; Paetsch, Ingo; et al. (2012)
Journal of the American College of Cardiology
Transesophageal Real-Time Three-Dimensional Echocardiography
Handke, Michael; Heinrichs, Gudrun; Moser, Urs; et al. (2006)
Journal of the American College of Cardiology
Reply: miRNAs, Endothelin-1 and Endothelial Glycocalyx Disorders in Shock Severity in Postoperative Cardiac Surgery Patients
Roeschl, Tobias; Falk, Volkmar; Schoenrath, Felix; et al. (2024)
Journal of the American College of Cardiology
Systematic Assessment of Shock Severity in Postoperative Cardiac Surgery Patients
Roeschl, Tobias; Hinrichs, Nils; Hommel, Matthias; et al. (2023)
Journal of the American College of Cardiology
Background: The Society for Cardiovascular Angiography and Interventions (SCAI) shock classification has been shown to provide robust mortality risk stratification in a variety of cardiovascular patients. Objectives: This study sought to evaluate the SCAI shock classification in postoperative cardiac surgery intensive care unit (CSICU) patients. Methods: This study retrospectively analyzed 26,792 postoperative CSICU admissions at a heart center between 2012 and 2022. Patients were classified into SCAI shock stages A to E using electronic health record data. Moreover, the impact of late deterioration (LD) as an additional risk modifier was investigated. Results: The proportions of patients in SCAI shock stages A to E were 24.4%, 18.8%, 8.4%, 35.5%, and 12.9%, and crude hospital mortality rates were 0.4%, 0.6%, 3.3%, 4.9%, and 30.2%, respectively. Similarly, the prevalence of postoperative complications and organ dysfunction increased across SCAI shock stages. After multivariable adjustment, each higher SCAI shock stage was associated with increased hospital mortality (adjusted OR: 1.26-16.59) compared with SCAI shock stage A, as was LD (adjusted OR: 8.2). The SCAI shock classification demonstrated a strong diagnostic performance for hospital mortality (area under the receiver operating characteristic: 0.84), which noticeably increased when LD was incorporated into the model (area under the receiver operating characteristic: 0.90). Conclusions: The SCAI shock classification effectively risk-stratifies postoperative CSICU patients for mortality, postoperative complications, and organ dysfunction. Its application could, therefore, be extended to the field of cardiac surgery as a triage tool in postoperative care and as a selection criterion in research.
Clinical Feasibility of Accelerated, High SpatialResolution Myocardial Perfusion Imaging
Manka, Robert; Vitanis, Viton; Bösiger, Peter; et al. (2010)
Journal of the American College of Cardiology
High-Resolution Magnetic Resonance Myocardial Perfusion Imaging at 3.0-Tesla to Detect Hemodynamically Significant Coronary Stenoses as Determined by Fractional Flow Reserve
Lockie, Timothy; Ishida, Masaki; Perera, Divaka; et al. (2011)
Journal of the American College of Cardiology
Dynamic 3-Dimensional Stress Cardiac Magnetic Resonance Perfusion Imaging: Detection of Coronary Artery Disease and Volumetry of Myocardial Hypoenhancement Before and After Coronary Stenting
Manka, Robert; Jahnke, Cosima; Kozerke, Sebastian; et al. (2011)
Journal of the American College of Cardiology
Objectives The aim of this study was to establish a new, dynamic 3-dimensional cardiac magnetic resonance (3D-CMR) perfusion scan technique exploiting data correlation in k-space and time with sensitivity-encoding and to determine its value for the detection of coronary artery disease (CAD) and volumetry of myocardial hypoenhancement (VOLUMEhypo) before and after percutaneous coronary stenting. Background Dynamic 3D-CMR perfusion imaging might improve detection of myocardial perfusion deficits and could facilitate direct volumetry of myocardial hypoenhancement. Methods In 146 patients with known or suspected CAD, a 3.0-T CMR examination was performed including cine imaging, 3D-CMR perfusion under adenosine stress and at rest followed by delayed enhancement imaging. Quantitative invasive coronary angiography defined significant CAD (≥50% luminal narrowing). Forty-eight patients underwent an identical repeat CMR examination after percutaneous stenting of at least 1 coronary lesion. The 3D-CMR perfusion scans were visually classified as pathologic if ≥1 segment showed an inducible perfusion deficit in the absence of delayed enhancement. The VOLUMEhypo was measured by segmentation of the area of inducible hypoenhancement and normalized to left-ventricular myocardial volume (%VOLUMEhypo). Results The 3D-CMR perfusion resulted in a sensitivity, specificity, and diagnostic accuracy of 91.7%, 74.3%, and 82.9%, respectively. Before and after coronary stenting, %VOLUMEhypo averaged to 14.2 ± 9.5% and 3.2 ± 5.2%, respectively, with a relative VOLUMEhypo reduction of 79.4 ± 25.4%. Intrareader and inter-reader reproducibility of VOLUMEhypo measurements was high (Lin's concordance correlation coefficient, 0.96 and 0.96, respectively). Conclusions The 3D-CMR stress perfusion provided high image quality and high diagnostic accuracy for the detection of significant CAD. The VOLUMEhypo measurements were highly reproducible and allowed for the assessment of the treatment effect achievable by percutaneous coronary stenting.
Heart failure with preserved ejection fraction is characterized by dynamic impairment of active relaxation and contraction of the left ventricle on exercise and associated with myocardial energy deficiency
Phan, Thanh T.; Abozguia, Khalid; Nallur Shivu, Ganesh; et al. (2009)
Journal of the American College of Cardiology
Do Selection Methods and Outcome Definitions in the EHR Affect Model Calibration and Accuracy of the AHA-PREVENT Risk Equations?
Zinzuwadia, Aniket; Mora, Samia; Demler, Olga (2026)
Journal of the American College of Cardiology

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Journal: Journal of the American College of Cardiology

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