A novel method for measuring absolute coronary blood flow and microvascular resistance in patients with ischaemic heart disease
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Morris, Paul D.
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Sheffield Teaching Hosp NHS Fdn Trust, Dept Cardiol, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Morris, Paul D.
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Gosling, Rebecca
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Sheffield Teaching Hosp NHS Fdn Trust, Dept Cardiol, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Gosling, Rebecca
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Zwierzak, Iwona
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Zwierzak, Iwona
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Evans, Holli
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Aubiniere-Robb, Louise
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Aubiniere-Robb, Louise
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Czechowicz, Krzysztof
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Czechowicz, Krzysztof
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Evans, Paul C.
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, England
Univ Sheffield, Bateson Ctr, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Evans, Paul C.
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Hose, D. Rodney
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, England
Norwegian Univ Sci & Technol NTNU, Dept Circulat & Med Imaging, Trondheim, NorwayUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Hose, D. Rodney
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Lawford, Patricia, V
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Lawford, Patricia, V
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Narracott, Andrew J.
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Narracott, Andrew J.
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Gunn, Julian P.
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Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Sheffield Teaching Hosp NHS Fdn Trust, Dept Cardiol, Sheffield, S Yorkshire, England
Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, EnglandUniv Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
Gunn, Julian P.
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机构:
[1] Univ Sheffield, Med Sch, Dept Infect Immun & Cardiovasc Dis, Math Modelling Med Grp, Sheffield, S Yorkshire, England
[2] Sheffield Teaching Hosp NHS Fdn Trust, Dept Cardiol, Sheffield, S Yorkshire, England
[3] Univ Sheffield, Insigneo Inst Silico Med, Sheffield, S Yorkshire, England
[4] Univ Sheffield, Bateson Ctr, Sheffield, S Yorkshire, England
Aims Ischaemic heart disease is the reduction of myocardial blood flow, caused by epicardial and/or microvascular disease. Both are common and prognostically important conditions, with distinct guideline-indicated management. Fractional flow reserve (FFR) is the current gold-standard assessment of epicardial coronary disease but is only a surrogate of flow and only predicts percentage flow changes. It cannot assess absolute (volumetric) flow or microvascular disease. The aim of this study was to develop and validate a novel method that predicts absolute coronary blood flow and microvascular resistance (MVR) in the catheter laboratory. Methods and results A computational fluid dynamics (CFD) model was used to predict absolute coronary flow (Q(CFD)) and coronary MVR using data from routine invasive angiography and pressure-wire assessment. Q(CFD) was validated in an in vitro flow circuit which incorporated patient-specific, three-dimensional printed coronary arteries; and then in vivo, in patients with coronary disease. In vitro, QCFD agreed closely with the experimental flow over all flow rates [bias +2.08 mL/min; 95% confidence interval (error range) -4.7 to +8.8 mL/min; R-2 = 0.999, P < 0.001; variability coefficient <1%]. In vivo, Q(CFD) and MVR were successfully computed in all 40 patients under baseline and hyperaemic conditions, from which coronary flow reserve (CFR) was also calculated. Q(CFD)-derived CFR correlated closely with pressure-derived CFR (R-2 = 0.92, P < 0.001). This novel method was significantly more accurate than Doppler-wire-derived flow both in vitro (+/- 6.7 vs. +/- 34 mL/min) and in vivo (+/- 0.9 vs. +/- 24.4 mmHg). Conclusions Absolute coronary flow and MVR can be determined alongside FFR, in absolute units, during routine catheter laboratory assessment, without the need for additional catheters, wires or drug infusions. Using this novel method, epicardial and microvascular disease can be discriminated and quantified. This comprehensive coronary physiological assessment may enable a new level of patient stratification and management. [GRAPHICS] .