Evidence map›Paper›PMID 34256085›Full record

ArticleMicrovascular research2021

Use of peripheral arterial tonometry in detection of abnormal coronary flow reserve.

Marina Gaeta, Armin Nowroozpoor, James Dziura, Gail D'Onofrio, Albert J Sinusas, Basmah Safdar

Open access · greenAbstract readComparative Study
In one paragraph

Article in Microvascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Marina GaetaDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
Armin NowroozpoorDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
James DziuraDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
Albert J SinusasDepartment of Medicine (Section of Cardiology), Yale School of Medicine, New Haven, CT, United States of America.
Basmah SafdarDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America. Electronic address: basmah.safdar@yale.edu.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
NCATS NIH HHS UL1 TR000142NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T35 HL007649
6 · The paper itself

Abstract

backgroundWe assessed the utility of EndoPAT, a device that measures reactive hyperemia index (RHI) as a clinical screening tool for identifying low coronary flow reserve (CFR). Distinguishing normal from low CFR aids assessment for coronary microvascular dysfunction (CMD) or large vessel coronary artery disease (CAD).

methodsFrom June 2014-May 2019, in a convenience sample, we measured RHI in adults undergoing clinically indicated cardiac Rubidium-82 positron emission tomography/computed tomography (PET/CT) at a single center. Exclusion criteria were inability to consent, lack of English proficiency, and physical limitation. We defined low RHI as <1.67 and low CFR as <2.5. Distribution of RHI was skewed so we used its natural logarithm (LnRHI) to calculate Pearson correlation and area under the curve (AUC).

resultsOf 265 patients with PET/CT, we enrolled 131, and 100 had adequate data. Patients had a mean age of 61 years (SD = 12), 46% were female, 29% non-white. Thirty-six patients had low RHI, and 60 had depressed CFR. LnRHI did not distinguish patients with low from normal CFR (AUC = 0.53; 95% Cl, 0.41-0.64) and did not correlate with CFR (r = -0.021, p = 0.83). Low RHI did not distinguish patients with traditional CAD risk factors, presence of calcification, or perfusion defect (p > 0.05). Conversely, mean augmentation index, a measure of arterial stiffness, was higher with low RHI (p = 0.005) but not CFR (p = 0.625). RHI was lower in patients we identified as CMD (low CFR, no perfusion defect and calcium score of 0) (1.88 versus 2.21, p = 0.35) although we were underpowered (n = 12) to meet statistical significance.

conclusionsPeripheral RHI is insufficient as a clinical screening tool for low CFR as measured by cardiac PET/CT. Differences in vascular pathology assessed by each method may explain this finding.

Indexed as

Coronary CirculationPlethysmographyAgedAged, 80 and overCoronary DiseaseFemaleFingersFractional Flow Reserve, MyocardialHumansHyperemiaMaleManometryMiddle AgedPositron Emission Tomography Computed TomographyPredictive Value of TestsReproducibility of ResultsArterial tonometryCoronary flow reserveIschemic heart diseaseMicrocirculationMyocardial perfusion reservePeripheral flow

Identifiers

PMID34256085
PMCPMC10227886
OpenAlexW3177670945

What OpenQuestion holds

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Registered trials

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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.