Evidence map›Paper›PMID 37288844›Full record

Observational studyAnatolian journal of cardiology2023

Exploring the Predictors of the Discrepancy Between Quantitative Flow Ratio and Fractional Flow Reserve Measurements.

Tianhui Dong, Li Zhou, Xuhe Gong, Longhui Ma, Yutian Bai, Hui Chen

Abstract readObservational Study
In one paragraph

Observational study in Anatolian journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Tianhui DongDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Li ZhouDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xuhe GongDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Longhui MaDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yutian BaiDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hui ChenDepartment of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative flow ratio is a novel technology for the functional assessment of intermediate coronary stenoses. The authors sought to explore the influence of diabetes mellitus on the application of quantitative flow ratio and predictors of discrepancies between quantitative flow ratio and fractional flow reserve.

methodsQuantitative flow ratio was calculated in 224 patients (317 vessels) who underwent fractional flow reserve measurement by professional technicians blinded to fractional flow reserve value. Patients were divided into the diabetes mellitus group and the non-diabetes mellitus group. The diagnostic performance of quantitative flow ratio was assessed using fractional flow reserve as a reference.

resultsGood correlation and agreement between quantitative flow ratio and fractional flow reserve can be found in the diabetes mellitus group (r = 0.834, P <.001; mean difference: 0.007 ± 0.108). Prior myocardial infarction showed a statistically significant association with increased classification discrepancy between quantitative flow ratio and fractional flow reserve (odds ratio 3.16 (95% confidence interval: 1.29-7.75), P =.01). The area under the receiver-operating characteristic curve of quantitative flow ratio showed no significant difference in diabetes mellitus and non-diabetes mellitus groups, hemoglobin A1c ≥ 7% and hemoglobin A1c < 7% groups, diabetic duration ≥ 10 years and diabetic duration < 10 years groups (area under receiver-operating characteristic curve: 0.90 (95% confidence interval: 0.84-0.94) vs. 0.92 (95% confidence interval: 0.87-0.96), P =.54; 0.89 (95% confidence interval: 0.81-0.95) vs. 0.92 (95% confidence interval: 0.81-0.97), P =.65; 0.88 (95% confidence interval: 0.79-0.94) vs. 0.89 (95% confidence interval: 0.79-0.96), P =.83; respectively).

conclusionsClinical application of quantitative flow ratio is not limited to diabetic patients. The relationship between prior myocardial infarction and quantitative flow ratio needs to be further developed.

Indexed as

Diabetes MellitusFractional Flow Reserve, MyocardialMyocardial InfarctionAgedCoronary AngiographyFemaleGlycated HemoglobinHumansMaleMiddle AgedRetrospective StudiesGlycated Hemoglobin

Identifiers

PMID37288844
PMCPMC10339139

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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.