Related Experiment Video

Updated: Feb 15, 2026

Postconditioning with Lactate-enriched Blood for Cardioprotection in ST-segment Elevation Myocardial Infarction
05:26

Postconditioning with Lactate-enriched Blood for Cardioprotection in ST-segment Elevation Myocardial Infarction

Published on: May 28, 2019

9.7K

FFR-Guided Complete versus Culprit-Only Revascularization in Patients With Myocardial Infarction: A Systematic Review

Tara Seirafi1, Tetiana Zolotarova2, Jeremy Y Levett3

  • 1Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital/McGill University, Montreal, Canada; Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.

The American Journal of Cardiology
|February 13, 2026
PubMed

Insights

Fractional flow-reserve (FFR)-guided complete revascularization in patients with myocardial infarction (MI) and multivessel coronary artery disease (CAD) reduces unplanned revascularizations. This strategy may also decrease major adverse cardiac events (MACE) compared to culprit-only treatment.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Clinical Trials

Background:

  • Optimal revascularization strategy for patients with myocardial infarction (MI) and multivessel coronary artery disease (CAD) remains debated.
  • Fractional flow-reserve (FFR) guidance aims to optimize treatment decisions in complex coronary artery disease.

Purpose of the Study:

  • To compare the efficacy of FFR-guided complete revascularization versus culprit-only revascularization in reducing major adverse cardiac events (MACE) in patients with MI and multivessel CAD.
  • To evaluate the impact of FFR-guided complete revascularization on specific MACE components, including all-cause death, MI, and unplanned revascularization.

Main Methods:

  • Systematic search of randomized controlled trials (RCTs) in MEDLINE, EMBASE, and Cochrane Library.
  • Inclusion of 3 RCTs with a total of 3,054 patients with MI and multivessel CAD.
  • Pooled analysis using random-effects models to estimate risk ratios (RRs) and 95% confidence intervals (CIs) for primary and secondary outcomes.

Main Results:

  • FFR-guided complete revascularization was associated with a trend towards reduced MACE (RR: 0.63; 95% CI: 0.37-1.05).
  • A significant reduction in unplanned revascularization events was observed with FFR-guided complete revascularization (RR: 0.43; 95% CI: 0.21-0.87).
  • No significant difference in the risk of recurrent MI or major bleeding was noted between the groups.

Conclusions:

  • FFR-guided complete revascularization during index hospitalization significantly reduces unplanned revascularizations in patients with MI and multivessel CAD.
  • This strategy may offer a potential benefit in reducing overall MACE, warranting further investigation.
  • The findings support the consideration of FFR-guided complete revascularization in selected patient populations.

Keywords:
coronary artery diseasefractional flow reservemeta-analysismyocardial infarctionrevascularizationsystematic review

More Related Videos

Histological Quantification of Chronic Myocardial Infarct in Rats09:45

Histological Quantification of Chronic Myocardial Infarct in Rats

Published on: December 11, 2016

15.5K
Myocardial Infarction and Functional Outcome Assessment in Pigs12:03

Myocardial Infarction and Functional Outcome Assessment in Pigs

Published on: April 25, 2014

28.7K

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.4K
Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
6.1K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K