NULL
Section
All sections
Countries | Regions
Countries | Regions
Article Types
Article Types
Year
Volume
Issue
Pages
IMR Press / RCM / Volume 23 / Issue 2 / DOI: 10.31083/j.rcm2302070
Open Access Review
Pathophysiological factors contributing to fractional flow reserve and instantaneous wave-free ratio discordance
Hassan Tahir1,*,†James Livesay1,†
Show Less
1 Department of Medicine, University of Tennessee Graduate School of Medicine, Knoxville, TN 37920, USA
*Correspondence: doctorhassantahir@gmail.com (Hassan Tahir)
These authors contributed equally.
Academic Editors: Abdul Hakeem, Bobby Ghosh, Gianluca Rigatelli and Peter Kokkinos
Rev. Cardiovasc. Med. 2022, 23(2), 70; https://doi.org/10.31083/j.rcm2302070
Submitted: 28 September 2021 | Revised: 27 November 2021 | Accepted: 16 December 2021 | Published: 18 February 2022
This is an open access article under the CC BY 4.0 license.
Abstract

The diagnostic accuracy and clinical benefits of instantaneous wave-free ratio (iFR) compared to fractional flow reserve (FFR) have been well-established in the literature. Despite the advantages of non-hyperemic pressure indices, approximately 20% of iFR and FFR measurements are discordant. Efforts have been made to establish the mechanisms as well as identify causative factors that lead to such a discordance. Recent studies have identified many factors of discordance including sex differences, age differences, bradycardia, coronary artery stenosis location, elevated left ventricular end-diastolic pressure, and diastolic dysfunction. Additionally, discordance secondary to coronary artery microcirculation dysfunction, as seen in diabetics and patients on hemodialysis, has sparked interest amongst experts. As more interventional cardiologists are utilizing iFR independent of FFR to guide percutaneous coronary intervention an emphasis has been placed on identifying factors leading to discordance. The aim of this review is to outline recent studies that have identified factors of FFR and iFR discordance.

Keywords
fractional flow reserve
instantaneous wave-free ratio
discordance
microcirculation dysfunction
1. Background

Fractional flow reserve (FFR) is a diagnostic pressure index that is used to assess the physiological significance of a coronary artery stenotic lesion in stable ischemic heart disease (SIHD). It is defined as a ratio of maximal blood flow in a coronary artery with stenosis compared to the maximal blood flow through a normal coronary artery [1, 2]. Using a pressure wire during coronary angiography, FFR is obtained by simultaneously measuring the coronary pressure distal to a stenotic lesion and the aortic pressure [1]. FFR is the ratio of the distal coronary pressure (P${}_{d}$) to the aortic pressure (P${}_{a}$), thus FFR is equal to P${}_{d}$/P${}_{a}$ [2]. To fully minimize microvascular resistance, FFR is measured during a period of maximal blood flow, also known as a maximal hyperemic state [3]. This period of hyperemia is achieved through intra-coronary or intravenous injection of a vasodilating agent such as adenosine [3]. Theoretically, FFR in a normal coronary artery during hyperemia should be 1.0 [3]. A FFR of less than or equal to 0.80 indicates that the stenotic lesion is physiologically significant and therefore, likely “ischemia-causing” [1, 4].

FFR has been used by many clinicians to guide percutaneous coronary intervention (PCI) of intermediate (40% to 70%) coronary artery stenosis in SIHD [5]. The use of FFR-guided PCI in patients with stable coronary artery disease (CAD) has been associated with better long-term outcomes when compared to angiographically guided PCI [6, 7]. Two large clinical studies, the FAME and FAME2 trials, found that FFR in patients with multivessel CAD undergoing PCI reduces combined endpoints of mortality, myocardial infarction, and need for urgent revascularization. In addition to improving long-term outcomes in SIHD, FFR guided PCI is also economically attractive compared to medical management [8, 9]. Multiple studies have also demonstrated that deferring PCI in patients with hemodynamically non-significant coronary lesions (FFR $>$0.80) is associated with better outcomes [10, 11].

Despite guideline recommendations, the use of FFR has been limited in clinical practice due to increased procedural costs, difficulties with reimbursement, and the side effects of inducing hyperemia with adenosine [12, 13, 14]. Studies have found that the commonly used hyperemic agent, adenosine, has been associated with clinically significant adverse effects including tachyarrhythmias, bradyarrhythmias, interactions with other medications, and prolonged procedure times [12, 13]. For these reasons, non-adenosine requiring indices such as instantaneous wave-free ratio (iFR) to guide PCI of intermediate stenotic coronary lesions were developed. Like FFR, iFR can determine the hemodynamic significance of intermediate coronary artery stenosis in SIHD. However, iFR differs from FFR in that it does not require the use of hyperemic agents [15, 16]. Instead, iFR is obtained by simultaneously measuring the pressure distal to a stenotic lesion and the aortic pressure during a specific time interval in cardiac diastole known as the “wave-free period” [15, 17]. During this naturally occurring period, capillary resistance is stable and minimal, while coronary blood flow is maximal [18, 19]. Therefore, while at a stable coronary resistance, the change in pressure across a stenotic lesion is approximately equal to the change in blood flow across the coronary lesion [17, 18]. Compared to the FFR cutoff value of 0.80, an intermediate coronary lesion is deemed hemodynamically significant when the iFR is less than or equal to 0.89 [20].

2. FFR and iFR comparison

Multiple studies have compared the diagnostic accuracy and the clinical outcomes of iFR to FFR [20, 21, 22, 23]. The ADVISE study was one of first to conclude that iFR was comparable to FFR in producing a severity index of coronary artery stenosis [21]. The diagnostic accuracy of iFR compared to FFR was further evaluated in both the ADVISE II and RESOLVE trials. They concluded that iFR strongly correlated with FFR with a diagnostic accuracy of approximately 80% [20, 22]. In addition to its diagnostic accuracy, one of the primary benefits of iFR is that it is calculated by measuring a natural wave-free period during diastole. Through this measurement, the use of hyperemic agents as well as their potential side effects are avoided. Given the many side effects of hyperemic agents, the use of iFR may be preferred over FFR in the elderly population and patients with baseline sinus node dysfunction [13].

Two large studies have compared the impact of iFR on clinical outcomes to FFR [12, 24]. The DEFINE-FLAIR trial was a large multicenter randomized controlled study that compared the outcomes of patients undergoing iFR-guided PCI to patients undergoing FFR-guided PCI [12]. They concluded that iFR-guided coronary revascularization was noninferior to FFR-guided coronary revascularization regarding 1-year major adverse cardiac events (MACE) [12]. Another multicenter randomized control trial, iFR SWEDEHEART, also concluded that the use of an iFR-guided revascularization strategy in SIHD was noninferior to FFR, with respect to 1-year MACE [24]. Although both the DEFINE-FLAIR and iFR SWEDEHEART trials demonstrated that iFR is noninferior to FFR, questions remain about the use of iFR without also measuring FFR. We believe that the primary concern is likely driven by an iFR to FFR discordance rate of approximately 20% as well as limited data on the causative factors leading to discordance.

3. FFR and iFR discordance

Discordance is considered when iFR or FFR is positive, and the other is negative. Negative discordance is defined by a FFR $<$0.80 and an iFR $>$0.89, whereas positive discordance is the opposite (FFR $>$0.80 and an iFR $<$0.89). Theoretically, any index below the cutoff point would indicate that a lesion is hemodynamically significant, however, the management of lesions with discordant indices can be difficult when iFR and FFR are numerically close to their cutoff values. Currently, there is limited data on whether the numerical difference between discordant iFR and FFR values is clinically significant.

Multiple studies have found that the agreement between iFR and FFR is around 80%, which indicates that approximately 20% of iFR and FFR measurements are discordant [20, 21, 22, 23, 24, 25]. Experts have recently shifted focus to further understand the etiology of iFR and FFR discordance as well as factors leading to negative (FFR+/iFR–) or positive (FFR–/iFR+) discordance.

Measurement variability has been found to be a major source of discordance between iFR and FFR, primarily around the cutoff values of $\leq$0.89 and $\leq$0.80, respectively [17]. Additionally, various procedural factors including suboptimal positioning of the guide catheter and aortic pressure damping as well as insufficient hyperemia secondary to preprocedural caffeine consumption or inadequate adenosine dosing have contributed to discordance [17]. Although measurement and procedural variability are major contributors of iFR and FFR discordance, certain pathophysiological factors affecting iFR and FFR agreement have also been identified. The etiology of iFR and FFR discordance is now thought to be multifactorial in nature with aspects of measurement variability, procedural variability, and multiple pathophysiological factors [17].

4. Factors causing FFR and iFR discordance

There are many pathophysiological factors reported in the literature that can lead to iFR and FFR discordance (Table 1 and Fig. 1, Ref. [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38]). Sex differences have been associated with both positive and negative discordance [25, 26, 27, 28]. Specifically, females are more commonly found to have positive discordance while males are more likely to have negative iFR and FFR discordance [25, 26, 27, 28]. In a large post hoc analysis, Dérimay et al. [29] demonstrated that younger age was associated with negative discordance while older age was associated with positive discordance. Similarly, Goto et al. [30] also concluded that younger age correlated with negative discordance.

Table 1.Factors reported by various studies causing FFR and iFR positive (FFR–/iFR+) or negative discordance (FFR+/iFR–).
 Study Study type No. of patients Factors of discordance Negative or positive discordance Aoi et al. [25] Single-center, retrospective study 423 Male sex. Negative Female sex. Positive Dérimay et al. [29] Post hoc analysis 587 Stenosis location (left main or proximal LAD), more severe stenosis, younger age, and slower heart rate. Negative Absence of a beta-blocker, older age, and less severe stenosis. Positive Satomi et al. [26] Retrospective study 225 Lower heart rate, lower double products, and lower cardiac index. Negative Female sex, higher heart rate, and higher double products. Positive Goto et al. [30] Post hoc analysis 156 Younger age, absence of diabetes and higher hemoglobin levels. Negative Hemodialysis, peripheral artery disease, left main and LAD artery stenosis. Positive Kobayashi et al. [31] Multicenter, prospective, investigator-initiated observational study 763 Left main/ proximal LAD artery stenosis. Negative Warisawa et al. [33] Analysis of international multicenter registry 345 Focal pattern of CAD. Negative Diffuse pattern of CAD. Positive Arashi et al. [27] Retrospective study 225 Not being on hemodialysis. Negative Female sex and high rate-pressure product. Positive Scarsini et al. [34] Prospective, observational study 66 Aortic valve stenosis after TAVI - Ge et al. [35] Computational model - Aortic valve disease, regurgitation and stenosis. Positive Lee et al. [28] Post hoc analysis 393 Male sex, absence of diabetes and lower percent diameter stenosis. Negative Female sex, diabetes, smaller reference vessel diameter and higher percent diameter stenosis. Positive Tahir et al. [37] Single-center, nonrandomized both retrospective and prospective study 65 Elevated left ventricular end diastolic pressure - Tahir et al. [38] Single-center nonrandomized retrospective observational study 100 Left ventricular diastolic dysfunction - Abbreviations: CAD, coronary artery disease; LAD, left anterior descending; TAVI, transcatheter aortic valve implantation.
Fig. 1.

Factors reported by various studies contributing to positive discordance (FFR–/iFR+), negative discordance (FFR+/iFR–), or undefined discordance. Abbreviations: CAD, coronary artery disease; LAD, left anterior descending; TAVI, transcatheter aortic valve implantation; CFR, coronary flow reserve.

The impact of coronary artery disease on iFR and FFR agreement has also been investigated including the location of coronary stenosis, severity of stenosis, and overall extent of coronary disease [29, 30, 31, 32, 33]. Dérimay et al. [29] demonstrated that left main coronary artery or proximal left anterior descending (LAD) artery stenosis was associated with negative discordance. A large multicenter prospective observational study also found that left main coronary artery and proximal LAD artery stenosis were significant factors leading to negative discordance [31]. In contrast, Goto et al. [30] found that left main coronary artery and proximal LAD artery stenosis contributed to positive discordance. The discrepancies between these studies are unclear, however they demonstrate the underlying complexity of CAD pathophysiology.

There is conflicting data regarding the impact of coronary artery stenosis severity on iFR and FFR discordance. Lee et al. [32] found lower percent diameter coronary artery stenosis was associated with negative discordance whereas smaller coronary artery diameter/ higher percent diameter stenosis led to positive discordance. Dérimay et al. [29] found the opposite, in that more severe stenosis correlated with negative discordance while less severe stenosis was associated with positive discordance. In addition to the location and severity of stenosis, the extent of coronary artery disease can contribute to iFR and FFR discordance. Warisawa et al. [33] concluded that patients with a focal pattern of CAD were associated with negative discordance whereas a diffuse pattern of CAD correlated with positive discordance.

Valvular heart disease has also been linked to iFR and FFR discordance. Scarsini et al. [34] found that transaortic gradient pressure changes induced by transaortic valve intervention caused significant variations in iFR measurements. Similarly, a computational model that evaluated the effects of aortic valve disease on iFR and FFR discordance found that aortic stenosis and regurgitation led to positive discordance [35]. Overall, data on the effects of valvular heart disease on iFR and FFR discordance is limited and necessitates further investigation.

Central venous pressure (Pv) is ignored in calculating FFR as it is assumed to be close to zero. This can be a problem in conditions where Pv is significantly elevated. For example, right and left heart conditions associated with high central venous pressure can theoretically result in erroneous calculation of FFR. In practice, the impact has been demonstrated to be trivial [36]. Such studies, however, did not focus on iFR and FFR discordance. In our own experience, elevated LVEDP resulted in a graded, higher discordance between iFR and FFR [37].

We recently published two studies that evaluated the effects of elevated left ventricular end diastolic pressure (LVEDP) and left ventricular diastolic dysfunction on FFR and iFR discordance [37, 38]. We found that approximately 43% of patients with elevated LVEDP had FFR and iFR discordance [37]. Therefore, we concluded that patients with elevated LVEDP were more likely to have discordant iFR and FFR measurements compared to patients with normal LVEDP. Similarly, the impact of left ventricular diastolic dysfunction on FFR and iFR discordance was significant. We found that approximately 45% of patients with discordance had left ventricular diastolic dysfunction based on transthoracic echocardiography [38]. Therefore, we believe that both LVEDP and left ventricular diastolic function should be considered when using FFR and iFR to guide PCI.

5. The effect of coronary microcirculation dysfunction on FFR and iFR discordance

The effects of diabetes and hemodialysis on FFR and iFR discordance has been presented in the literature [27, 28, 30, 35]. Goto et al. [30] concluded that diabetics and patients on hemodialysis were commonly found to have positive discordance. Similarly, Lee et al. [32] found that diabetes is associated with positive discordance while the absence of diabetes is associated with negative discordance. The effects of diabetes on discordance have been linked to dysfunctions in coronary artery microcirculation [17, 32, 35, 39]. Recent studies have attempted to further understand the impact of the coronary microcirculation dysfunction on FFR and iFR discordance (Table 2, Ref. [32, 35, 39, 40]). According to van de Hoef et al., both healthy and dysfunctional coronary microcirculation can contribute to discordance. They further explain that healthy coronary microcirculation allows for adenosine-mediated vasodilation during periods of hyperemia causing a significant pressure gradient that was not present during non-hyperemic states [17]. Therefore, patients with non-flow-limiting CAD and normal coronary microcirculation can have a positive FFR but a negative iFR [17, 39]. In contrast, adenosine-mediated coronary vasodilation is inhibited in patients with microcirculation dysfunction, such as diabetics, and therefore are more likely to have a normal FFR but an abnormal iFR [39]. Lee et al. [40] concluded that patients with negative discordance were found to have higher hyperemic myocardial blood flow, higher coronary flow reserve, and a significantly higher reduction of microvascular resistance at hyperemia. These findings are likely secondary to the presence of healthy microcirculation allowing for coronary vasodilation and thus large pressure gradients across coronary lesions during hyperemia. In a computational model, Ge et al. [35] concluded that diabetic patients with secondary coronary microcirculation dysfunction had higher coronary microvascular resistance and lower coronary flow during hyperemia. Similarly, Lee et al. [32] concluded that male sex and a lower probability of predictors of microvascular dysfunction are associated with negative discordance while older age, female sex, diabetes, and possible microvascular dysfunction are associated with positive discordance. We believe that coronary microcirculation dysfunction contributes significantly to FFR and iFR discordance, however, additional studies are needed.

Table 2.Factors and findings associated with microcirculation dysfunction reported by various studies leading to FFR and iFR positive (FFR–/iFR+) or negative discordance (FFR+/iFR–).
 Study Study type No. of patients Factors and associated findings of discordance Negative or positive discordance Ge et al. [35] Computational model - Diabetes, higher coronary microvascular resistance, lower coronary flow Positive Cook et al. [39] Post hoc, retrospective analysis 454 Higher hyperemic coronary flow and CFR, and lower prevalence of diabetes. Negative Lower hyperemic coronary flow and CFR, and higher prevalence of diabetes. Positive Lee et al. [40] Retrospective analysis 113 Higher coronary flow, higher CFR and significantly higher reduction of microvascular resistance during hyperemia Negative Lee et al. [32] Post hoc, retrospective analysis 393 Male sex and lower probability of predictors of microvascular dysfunction. Negative Older age, female sex, diabetes, and microvascular dysfunction. Positive Abbreviations: CFR, coronary flow reserve.
6. Clinical implications of FFR and iFR discordance

Despite the many benefits of iFR, its use in the catheterization lab, independent of FFR, is variable. To determine the hemodynamic significance of an intermediate coronary lesion, iFR is commonly measured and then confirmed with FFR. The use of FFR to confirm iFR is primarily due to the known 20% diagnostic inaccuracy of iFR compared to FFR as well as its novelty. To support the independent use of iFR, studies have compared long-term clinical outcomes of patients with concordant iFR and FFR indices to those with discordant measurements. While initial studies demonstrated no increased risk in vessel-oriented composite outcomes (VOCO) or Patient-oriented composite outcomes (POCO) for patients with discordant values, more recent studies have challenged these conclusions [32, 41, 42]. Lee et al. [43], found that patients with discordant iFR and FFR values, in which revascularization was deferred, demonstrated a similar risk of VOCO when compared to all revascularized lesions up to 5 years of follow-up. Given these findings, the authors concluded that lesions with discordant physiologic indices require close follow-up and medical management [43].

While the decision to revascularize is straightforward with concordant FFR and iFR values, interpreting discordant values is more complex in the clinical setting [44]. Overall, discordance has complicated the management of intermediate coronary lesions. Currently, there is no clear evidence to support whether iFR or FFR should be used to guide PCI in the setting of discordance. Therefore, when iFR and FFR discordance is encountered in the clinically setting, the decision to revascularize is left to the proceduralist. Depending on prior training and comfortability with iFR, some operators will revascularize a positive discordant (FFR–/iFR+) intermediate coronary lesion if their clinical suspicion is high that it is the culprit. However, many proceduralist question the clinical equivalency of iFR to FFR given the frequency of discordant measurements and are thus, faced with the dilemma on whether to revascularize. Most commonly, operators follow FFR to guide their decision to revascularize an intermediate coronary lesion in the setting of negative discordance (FFR+/iFR–). As previously discussed, this is secondary to the operators’ prior experience with iFR as well as uncertainties due to the lack of standardized guidelines and inconsistent clinical outcome data on the revascularization of iFR and FFR discordant lesions.

While some have concluded that iFR is a suitable and cost-effective alternative to FFR, others have adopted iFR-FFR hybrid models [14]. These hybrid models have expanded the standard cutoff value for iFR, which has increased confidence in its use and decreased the frequency of having to interpret discordant values. With most hybrid strategies, revascularization is performed on lesions with an iFR of $<$0.86 and deferred when $>$0.93. However, when iFR is 0.86–0.93, referred to as the “grey zone”, FFR is performed to confirm and guide PCI. By adjusting the standard iFR cutoff value and utilizing FFR confirmation for iFR values that fall in the “grey zone”, the diagnostic accuracy of iFR has been shown to be as high as 95% [45, 46, 47]. Furthermore, by decreasing the cutoff value of iFR to 0.86 with these hybrid strategies, the need to perform confirmatory FFR has decreased. Paul et al. [44] presented a slightly different hybrid model that included “grey zones” for both iFR and FFR, in which a second index would be needed to confirm any measurement within these zones. Unfortunately, even with the use of these various hybrid models, operators still encounter the dilemma of discordance [44]. Considering the multiple clinical factors that have been identified as predisposing factors for iFR and FFR discordance, the current standardized iFR and FFR cutoff values need to again be revisited [48]. Many factors have been identified as independent predictors of iFR including diabetes mellitus, aortic stenosis, high-sensitivity CRP, and renal function [49]. Similarly, there are many factors, as previously discussed in this review, that can be used to predict iFR and FFR discordance. Using these known factors of discordance, iFR and FFR cutoff values can be adjusted. As experts continue to identify factors and conditions that lead to discordance, it is necessary that these factors be accounted for when interpreting iFR in the clinical setting. Therefore, we believe that additional research is needed to not only identify factors of discordance but more importantly, determine how we can adjust the current iFR and FFR cutoff values to account for these individual factors.

7. Conclusions

The diagnostic accuracy and clinical benefits of iFR compared to FFR in stable ischemic heart disease have been clearly outlined in the literature and supported by multiple large randomized clinical trials. However, given that the percentage of FFR and iFR discordance was not negligible in these studies, it must be considered when using these measurements to guide PCI. Recently, efforts have been made to identify the factors leading to FFR and iFR discordance. Common factors identified include gender, coronary artery stenosis severity and location, heart rate, and valvular heart disease. More recent studies found that elevated LVEDP and the presence of diastolic dysfunction are important factors of discordance that should be considered when interpreting iFR and FFR. Additionally, the presence of diabetes as well as hemodialysis have been identified as discordance causing factors primarily through their effects on the coronary microvasculature. Although multiple causative factors have been identified and presented in the literature, we believe that further studies are necessary to identify additional factors of discordance and to further investigate the impacts of coronary microvascular dysfunction.

Author contributions

All authors reviewed the literature and helped write the manuscript. BF, HT, JL, and RB—performed critical revisions of the article and approved the final version of manuscript.

Ethics approval and consent to participate

Not applicable.

Acknowledgment

We would like to express our gratitude to all those who helped us during the writing of this manuscript. We would also like to thank all the peer reviewers for their opinions and suggestions.

Funding

This research received no external funding.

Conflict of interest

The authors declare no conflict of interest.

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Share