Evidence map›Paper›PMID 32666101›Full record

ArticleCardiovascular research2021

A novel method for measuring absolute coronary blood flow and microvascular resistance in patients with ischaemic heart disease.

Paul D Morris, Rebecca Gosling, Iwona Zwierzak, Holli Evans, Louise Aubiniere-Robb, Krzysztof Czechowicz, Paul C Evans, D Rodney Hose, Patricia V Lawford, Andrew J Narracott and 1 more

Abstract readValidation Study
In one paragraph

Article in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Angiography-based coronary microvascular assessment with and without intracoronary pressure measurements: a systematic review.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Paul D MorrisMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0002-3965-121X
Rebecca GoslingMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.
Iwona ZwierzakMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.
Holli EvansMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0003-3335-0309
Louise Aubiniere-RobbMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0002-6892-1119
Krzysztof CzechowiczMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0002-0605-8591
Paul C EvansMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.
D Rodney HoseMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.
Patricia V LawfordMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0001-7128-3843
Andrew J NarracottMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0002-3068-6192
Julian P GunnMathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield , UK.ORCID 0000-0003-0028-3226

Funding

British Heart Foundation FS/12/85/29869British Heart Foundation FS/16/48/32306British Heart Foundation RG/19/10/34506British Heart Foundation TG/19/1/34451Department of Health II-LB-0216-20006Department of Health RC-PG-0309-10063Medical Research Council MC_PC_13076Medical Research Council R/005998-13-44
6 · The paper itself

Abstract

aimsIschaemic 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

resultsA computational fluid dynamics (CFD) model was used to predict absolute coronary flow (QCFD) and coronary MVR using data from routine invasive angiography and pressure-wire assessment. QCFD 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; R2 = 0.999, P < 0.001; variability coefficient <1%]. In vivo, QCFD and MVR were successfully computed in all 40 patients under baseline and hyperaemic conditions, from which coronary flow reserve (CFR) was also calculated. QCFD-derived CFR correlated closely with pressure-derived CFR (R2 = 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).

conclusionsAbsolute 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.

Indexed as

Cardiac CatheterizationCoronary AngiographyFractional Flow Reserve, MyocardialMicrocirculationModels, CardiovascularPatient-Specific ModelingVascular ResistanceAgedBlood Flow VelocityClinical Decision-MakingFemaleHumansHydrodynamicsMaleMiddle AgedModels, AnatomicComputational fluid dynamicsCoronary angiographyCoronary blood flowCoronary microvascular dysfunctionCoronary physiology

Identifiers

PMID32666101
PMCPMC8152717

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.