Literature DB >> 23476044

Coronary wave energy: a novel predictor of functional recovery after myocardial infarction.

Kalpa De Silva1, Paul Foster, Antoine Guilcher, Asela Bandara, Roy Jogiya, Tim Lockie, Phil Chowiencyzk, Eike Nagel, Michael Marber, Simon Redwood, Sven Plein, Divaka Perera.   

Abstract

BACKGROUND: Revascularization after acute coronary syndromes provides prognostic benefit, provided that the subtended myocardium is viable. The microcirculation and contractility of the subtended myocardium affect propagation of coronary flow, which can be characterized by wave intensity analysis. The study objective was to determine in acute coronary syndromes whether early wave intensity analysis-derived microcirculatory (backward) expansion wave energy predicts late viability, defined by functional recovery. METHODS AND
RESULTS: Thirty-one patients (58±11 years) were enrolled after non-ST elevation myocardial infarction. Regional left ventricular function and late-gadolinium enhancement were assessed by cardiac magnetic resonance imaging, before and 3 months after revascularization. The backward-traveling (microcirculatory) expansion wave was derived from wave intensity analysis of phasic coronary pressure and velocity in the infarct-related artery, whereas mean values were used to calculate hyperemic microvascular resistance. Twelve-hour troponin T, left ventricular ejection fraction, and percentage late-gadolinium enhancement mass were 1.35±1.21 µg/L, 56±11%, and 8.4±6.0%, respectively. The infarct-related artery backward-traveling (microcirculatory) expansion wave was inversely correlated with late-gadolinium enhancement infarct mass (r=-0.81; P<0.0001) and strongly predicted regional left ventricular recovery (r=0.68; P=0.001). By receiver operating characteristic analysis, a backward-traveling (microcirculatory) expansion wave threshold of 2.8 W m(-2) s(-2)×10(5) predicted functional recovery with sensitivity and specificity of 0.91 and 0.82 (AUC 0.88). Hyperemic microvascular resistance correlated with late-gadolinium enhancement mass (r=0.48; P=0.03) but not left ventricular recovery (r=-0.34; P=0.07).
CONCLUSIONS: The microcirculation-derived backward expansion wave is a new index that correlates with the magnitude and location of infarction, which may allow for the prediction of functional myocardial recovery. Coronary wave intensity analysis may facilitate myocardial viability assessment during cardiac catheterization.

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Year:  2013        PMID: 23476044     DOI: 10.1161/CIRCINTERVENTIONS.112.973081

Source DB:  PubMed          Journal:  Circ Cardiovasc Interv        ISSN: 1941-7640            Impact factor:   6.546


  9 in total

1.  Major influence of a 'smoke and mirrors' effect caused by wave reflection on early diastolic coronary arterial wave intensity.

Authors:  Jonathan P Mynard; Daniel J Penny; Joseph J Smolich
Journal:  J Physiol       Date:  2018-02-13       Impact factor: 5.182

2.  Estimation of coronary wave intensity analysis using noninvasive techniques and its application to exercise physiology.

Authors:  Christopher J Broyd; Sukhjinder Nijjer; Sayan Sen; Ricardo Petraco; Siana Jones; Rasha Al-Lamee; Nicolas Foin; Mahmud Al-Bustami; Amarjit Sethi; Raffi Kaprielian; Punit Ramrakha; Masood Khan; Iqbal S Malik; Darrel P Francis; Kim Parker; Alun D Hughes; Ghada W Mikhail; Jamil Mayet; Justin E Davies
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-12-18       Impact factor: 4.733

3.  Enhancing coronary Wave Intensity Analysis robustness by high order central finite differences.

Authors:  Simone Rivolo; Kaleab N Asrress; Amedeo Chiribiri; Eva Sammut; Roman Wesolowski; Lars Ø Bloch; Anne K Grøndal; Jesper L Hønge; Won Y Kim; Michael Marber; Simon Redwood; Eike Nagel; Nicolas P Smith; Jack Lee
Journal:  Artery Res       Date:  2014-09       Impact factor: 0.597

4.  Impact of coronary bifurcation morphology on wave propagation.

Authors:  Simone Rivolo; Lucas Hadjilucas; Matthew Sinclair; Pepijn van Horssen; Jeroen van den Wijngaard; Roman Wesolowski; Amedeo Chiribiri; Maria Siebes; Nicolas P Smith; Jack Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-07-08       Impact factor: 4.733

5.  Physiology of Angina and Its Alleviation With Nitroglycerin: Insights From Invasive Catheter Laboratory Measurements During Exercise.

Authors:  Kaleab N Asrress; Rupert Williams; Timothy Lockie; Muhammed Z Khawaja; Kalpa De Silva; Matthew Lumley; Tiffany Patterson; Satpal Arri; Sana Ihsan; Howard Ellis; Antoine Guilcher; Brian Clapp; Philip J Chowienczyk; Sven Plein; Divaka Perera; Michael S Marber; Simon R Redwood
Journal:  Circulation       Date:  2017-05-03       Impact factor: 29.690

6.  Changes in contractility determine coronary haemodynamics in dyssynchronous left ventricular heart failure, not vice versa.

Authors:  Simon Claridge; Natalia Briceno; Zhong Chen; Kalpa De Silva; Bhavik Modi; Tom Jackson; Jonathan M Behar; Steven Niederer; Christopher A Rinaldi; Divaka Perera
Journal:  Int J Cardiol Heart Vasc       Date:  2018-04-04

Review 7.  Identifying and Managing Hibernating Myocardium: What's New and What Remains Unknown?

Authors:  Matthew J Ryan; Divaka Perera
Journal:  Curr Heart Fail Rep       Date:  2018-08

8.  Effects of Epicardial and Endocardial Cardiac Resynchronization Therapy on Coronary Flow: Insights From Wave Intensity Analysis.

Authors:  Simon Claridge; Zhong Chen; Tom Jackson; Kalpa De Silva; Jonathan Behar; Manav Sohal; Jessica Webb; Eoin Hyde; Matthew Lumley; Kal Asrress; Rupert Williams; Julian Bostock; Motin Ali; Jaswinder Gill; Mark O'Neill; Reza Razavi; Steve Niederer; Divaka Perera; Christopher Aldo Rinaldi
Journal:  J Am Heart Assoc       Date:  2015-12-17       Impact factor: 5.501

9.  In silico coronary wave intensity analysis: application of an integrated one-dimensional and poromechanical model of cardiac perfusion.

Authors:  Jack Lee; David Nordsletten; Andrew Cookson; Simone Rivolo; Nicolas Smith
Journal:  Biomech Model Mechanobiol       Date:  2016-03-23
  9 in total

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