Literature DB >> 33843040

Safety of coronary revascularization deferral based on fractional flow reserve and instantaneous wave-free ratio in patients with chronic kidney disease.

Alejandro Travieso1, Alex Fernando Castro-Mejia1, Adrian Jeronimo-Baza1, Maria Jose Perez-Vizcayno1, Hernan Mejia-Renteria1, Fernando Macaya1, Gabriela Tirado-Conte1, Luis Nombela1, Pilar Jimenez-Quevedo1, Pablo Salinas1, Ivan J Nunez-Gil1, Antonio Fernandez-Ortiz1, Javier Escaned1, Nieves Gonzalo2.   

Abstract

BACKGROUND: The safety of revascularization deferral according to pressure wire examination in patients with chronic kidney disease (CKD) has not been fully established.
METHODS: From a retrospective cohort of 439 patients in whom revascularization was deferred after physiological assessment, we examined the incidence of patient-oriented composite endpoint (POCE: all-cause death, myocardial infarction [MI] and unplanned revascularization) in patients with CKD (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m²) and without it.
RESULTS: At 4 years of follow-up, the primary endpoint was met by 25.0% of patients with CKD and by 14.4% of patients without CKD (hazard ratio [HR] 1.56, 95% confidence interval [CI] 0.96-2.53, p = 0.071). The incidence of POCE was even higher in patients with an eGFR < 30 mL/min/1.73 m²: 43.8% (HR 3.10, 95% CI 1.08-8.92, p = 0.036). However, no differences were observed in the incidence of MI (4.2% vs. 4.4% in non-CKD), target vessel revascularization (5.8% vs. 5.9%), and target vessel MI (0.8% vs. 4.6%).
CONCLUSIONS: Patients with CKD in whom pressure-wire evaluation led to deferral of coronary revascularization develop more POCE in the long term, compared to patients with normal renal function. However, the increase in POCE in patients with CKD was seldom related to deferred vessels, thus suggesting an epiphenomenon of an intrinsically higher cardiovascular risk of CKD patients.

Entities:  

Keywords:  chronic kidney disease; fractional flow reserve; instantaneous wave-free ratio; pressure wire

Mesh:

Year:  2021        PMID: 33843040      PMCID: PMC9273258          DOI: 10.5603/CJ.a2021.0035

Source DB:  PubMed          Journal:  Cardiol J        ISSN: 1898-018X            Impact factor:   3.487


Introduction

Physiological evaluation of coronary stenosis is a valuable tool to guide myocardial revascularization. Its safety has been widely demonstrated in the past years [1], shifting the process of treating coronary lesions from anatomical to physiological grounds. For more than two decades fractional flow reserve (FFR) was the only pressure-derived index available for functional stenosis assessment. More recently, instantaneous wave-free ratio (iFR), a non-hyperemic diastolic pressure ratio that overcomes some limitations of FFR [2, 3], was demonstrated to be non-inferior to FFR in clinical decision-making, contributing to more widespread use of pressure wire interrogation in real practice [4]. One of the ways that pressure guidewire interrogation contributes to improved patient outcome is by avoiding unneeded revascularization procedures in functionally non-significant coronary stenoses. While the overall safety of myocardial revascularization deferral based on FFR and iFR has been well stablished [5, 6], there is a paucity of data regarding such an approach in subgroups of patients with high risk of coronary disease progression. One such subgroup is made up of patients with chronic kidney disease (CKD), which is associated with a higher burden of coronary atherosclerosis [7], faster disease progression [8], and higher incidence of cardiovascular events, compared with patients with normal renal function [9, 10]. The main aim of this study was to investigate whether deferral of coronary stenosis revascularization based on pressure guidewire interrogation is equally safe in patients with CKD and in patients with normal function. Additionally, we also wanted to investigate the long-term outcomes of revascularization deferral based on FFR or iFR in patients with and without CKD.

Methods

Study design and population selection

This is a single-center, retrospective study that collected all consecutive patients who underwent pressure-wire evaluation of angiographical stenosis (by visual estimation), and in whom treatment was deferred based on the result of this technique. Either FFR or iFR were performed, and patients were classified as FFR-deferred or iFR-deferred according to the method of pressure wire used for evaluation. Different baseline characteristics were assessed. Serum creatinine was determined from blood samples in the 48 hours prior to the procedure. The estimated glomerular filtration rate (eGFR) was derived using the CKD-EPI formula. The cut-off value of 60 mL/min/1.73 m2 was used to establish the presence or absence of CKD. Current clinical practice guidelines were used to define the different CKD stages [11].

Procedural aspects

Pressure wire assessment was performed with commercial guidewires available during the study period — Verrata (Phillips Healthcare, San Diego, California) and PressureWire X (St. Jude Medical, St. Paul, Minnesota) — and a standard technique as previously reported. An intracoronary bolus of nitrates (200 μg) was administered before FFR or iFR measurement. In cases in which FFR was performed, intravenous adenosine was infused with a rate of 140 μg/kg/min. At the end of each procedure, the presence of significant drift was ruled-out by placing the sensor of the pressure-wire at the tip of the guiding catheter. In patients with stable angina, physiological evaluation was performed in the same procedure and all intermediate stenoses could be assessed. Serial stenoses were assessed as a single lesion and only those with non-ischemic values of pressure wire examination were deemed for inclusion in the present analysis. In patients with acute coronary syndromes, interrogation with a pressure wire was performed at a staged procedure only in non-culprit vessels. The cut-off points to defer revascularization were FFR > 0.80 or iFR > 0.89.

Endpoints

The primary endpoint was the combination of all-cause death, myocardial infarction (MI), or unplanned revascularization. Secondary endpoints were all-cause death, death due to cardiovascular causes, MI, and unplanned revascularization. Moreover, vessel-related endpoints such as target vessel MI and target vessel revascularization (TVR) were pre-specified as secondary endpoints. The minimum follow-up period was 2 years.

Statistical analysis

The population was divided based on the presence or absence of CKD, and the technique of pressure wire was used to defer revascularization (FFR or iFR). Univariate analysis for baseline characteristics was done using the Pearson χ2 test or Fisher’s exact test for categorical variables, as appropriate. Comparison between continuous data was made using the Student-Fisher t-test or Wilcoxon’s rank test in cases of non-normal distributions. For the primary and secondary endpoints, a time-to-event analysis was performed using the Cox’s proportional hazards model. Results are reported as hazard ratios (HR) with two-sided 95% confidence intervals (CI). Analyses were performed in an unadjusted manner as well as being adjusted by variables that were considered relevant: age, sex, the presence of diabetes mellitus, hypertension, tobacco use, clinical presentation, and the percentage of angiographic diameter stenosis. The validity of the proportional hazards assumption was assessed using Schoenfeld residuals. No signs of violation of the proportional hazards principle were found. Finally, cumulative hazards curves were created using the Kaplan-Meier method. All statistical calculations were carried out with STATA 14 (StataCorp. 4905 Lakeway Drive. College Station, Texas. USA).

Results

Study population

From January 2012 to December 2016, a total of 1321 vessels underwent pressure-wire evaluation. From them, a total of 593 vessels (444 patients) were deferred according to the result of the pressure wire assessment. Five patients were excluded because of the unavailability of renal function data. A final cohort of 439 patients was included in the analysis (Fig. 1).
Figure 1

Flowchart of the study; CABG – coronary artery bypass grafting; FFR — fractional flow reserve; iFR — instantaneous wave-free ratio; eGFR — estimated glomerular filtration rate; PCI — percutaneous coronary intervention.

Baseline characteristics

Of the overall population, 120 (27.3%) patients had an eGFR of less than 60 mL/min/1.73 m2. Sixteen of them (3.6%) had severe eGFR impairment (< 30 mL/min/1.73 m2 or hemodialysis). Baseline characteristics are shown in Table 1.
Table 1

Baseline characteristics.

No CKD (eGFR > 60 mL/min/1.73 m2)CKD (eGFR < 60 mL/min/1.73 m2)P
Number of patients319 (72.67%)120 (27.33%)
Mean follow-up [months]39.82 ± 0.638.12 ± 1.10.141
Age66.55 ± 0.673.53 ± 0.8< 0.001
Female sex73 (22.9%)31 (25.8%)0.517
Hypertension223 (69.9%)95 (79.2%)0.053
Dyslipidemia201 (63.0%)83 (69.2%)0.229
Diabetes mellitus101 (31.7%)61 (50.8%)< 0.001
Insulin therapy17 (5.3%)22 (18.3%)< 0.001
Smoker (current and former)194 (60.8%)57 (47.5%)0.012
Previous CABG9 (2.8%)3 (2.5%)> 0.999*
Previous PCI170 (49.0%)48 (52.2%)0.587
Previous MI157 (49.2%)61 (50.8%)0.763
Peripheral vascular disease18 (5.6%)20 (16.7%)< 0.001
Previous stroke14 (4.4%)7 (5.8%)0.527
COPD20 (6.3%)10 (8.3%)0.554
Statins287 (93.8%)106 (91.4%)0.382
ACEIs/ARBs234 (76.5%)89 (76.7%)0.956
Beta-blockers243 (79.4%)90 (77.6%)0.682
Acetylsalicylic acid299 (95.8%)106 (89.1%)0.008
Anticoagulation10 (6.3%)20 (16.7%)0.003
Clinical presentation:0.451
 Stable angina144 (45.1%)59 (49.2%)
 Acute coronary syndrome175 (54.9%)61 (50.8%)

Results are presented as number (%) or mean (± standard deviation). P values marked with asterisk (*) are calculated with Fisher’s exact test. ACEIs — angiotensin-converter enzyme inhibitors; ARBs — angiotensin receptor blockers; CABG — coronary artery bypass grafting; CKD — chronic kidney disease; COPD — chronic obstructive pulmonary disease; eGFR — estimated glomerular filtration rate; MI — myocardial infarction; PCI — percutaneous coronary intervention

Patients with eGFR < 60 mL/min/1.73 m2 were significantly older (73.5 years vs. 66.6 years, p < 0.001) and had a higher prevalence of cardiovascular risk factors such as hypertension (79.2% vs. 69.9%, p = 0.053), diabetes mellitus (50.8% vs. 31.7%, p < 0.001), and peripheral vascular disease (16.7% vs. 5.6%, p < 0.001). They had higher rates of anticoagulation treatment (16.7% vs. 6.3%, p = 0.003) and less use of acetylsalicylic acid (ASA; 89.1% vs. 95.8%, p = 0.008). Baseline angiographical characteristics and physiological results are shown in Table 2. Patients had a mean of 1.3 vessels interrogated in both groups. No differences were found in the mean values of FFR or iFR in either group, or in the type of vessel evaluated, the left anterior descendant (LAD) being the most frequently assessed. A less than 1% but statistically significant difference was seen in the percentage of angiographic stenosis (61.0% vs. 59.1%, p = 0.027), but this small disparity can be considered as clinically not relevant.
Table 2

Angiographic characteristics of the population.

No CKD (eGFR > 60 mL/min/1.73 m2)CKD (eGFR < 60 mL/min/1.73 m2)P
Number of patients319 (72.7%)120 (27.3%)
Number of vessels427 (73.0%)158 (27.0%)
Mean of evaluated vessels (per patient)1.34 ± 0.031.32 ± 0.050.990
Vessels evaluated per patient:
 1230 (72.1%)91 (75.8%)0.432
 273 (22.9%)21 (17.5%)0.220
 313 (4.1%)7 (5.8%)0.431
 43 (0.9%)1 (0.8%)> 0.999*
Percent of stenosis59 ± 0.4461 ± 0.760.027
Technique for deferral:0.936
 FFR251 (78.7%)94 (78.3%)
 iFR68 (21.3%)26 (21.7%)
Mean FFR0.87 (±0.003)0.87 (±0.004)0.435
Mean iFR0.95 (±0.003)0.94 (±0.005)0.296
Vessel evaluated:
 Left main19 (4.5%)6 (3.8%)0.729
 LAD178 (41.7%)64 (40.5%)0.797
 LCX133 (31.2%)40 (25.3%)0.170
 RCA91 (21.3%)43 (27.2%)0.131
 Ramus intermedius6 (1.4%)5 (3.2%)0.164
Multivessel disease (≥ 3 vessels)60 (18.8%)26 (21.7%)0.501

Results are presented as number (%) or mean (± standard deviation). P values marked with asterisk (*) are calculated with Fisher’s exact test. CKD — chronic kidney disease; eGFR — estimated glomerular filtration rate; FFR — fractional flow reserve; iFR — instantaneous free-wave ratio; LAD — left anterior descendant; LCX — left circumflex artery; RCA — right coronary artery

Outcomes in patients with and without CKD

The median follow-up was 42.1 (interquartile range [IQR] 26.6) and 43.0 (IQR 26.2) months in patients with and without CKD, respectively. At 4 years, 30 (25.0%) patients with eGFR < 60 mL/min/1.73 m2 met the primary endpoint (patient-oriented composite endpoint [POCE]: composite of all-cause death, MI, or unplanned revascularization), in comparison with 46 (14.4%) patients with eGFR > 60 mL/min/1.73 m2 (Fig. 2A). The unadjusted HR was 1.81 (95% CI 1.15–2.84; p = 0.010). This difference was mainly driven by a higher rate of all-cause death (13.3% vs. 5.3%; p = 0.006) and cardiovascular death (5.8% vs. 1.3%; p = 0.012), and a less prominent but also higher rate of unplanned revascularization in patients with worse renal function (11.7% vs. 7.2%; p = 0.097; Table 3). No differences were observed in the incidence of MI (4.2% vs. 4.4%; p = 0.967). The adjusted multivariate analysis failed to reach statistical significance for the primary or the secondary endpoints but showed a trend towards a higher incidence of POCE in patients with eGFR < 60 mL/min/1.73 m2, with a HR of 1.56 (95% CI 0.96–2.53; p = 0.071), and towards more frequent unplanned revascularizations (HR 1.91; 95% CI 0.93–3.93; p = 0.078).
Figure 2

Kaplan-Meier survival plots comparing outcomes according to the presence or not of chronic kidney disease (CKD), and across CKD stages; A. Cumulative incidence of the primary endpoint (all-cause death, infarction, or unplanned revascularization) for the dichotomous variable CKD; B. Incidence of the primary endpoint for the different CKD stages; C. Incidence of target vessel revascularization for patients with or without CKD; D. Incidence of target vessel myocardial infarction; CI — confidence interval; eGFR — estimated glomerular filtration rate; HR — hazard ratio. For the individual HR of the different CKD categories (plot B), see Table 4.

Table 3

Outcomes for patients with and without chronic kidney disease (CKD).

EndpointNo CKD (eGFR > 60 mL/min/1.73m2)CKD (eGFR < 60 mL/min/1.73m2)UnadjustedHR and 95% CIUnadjustedp valueFully adjustedHR and 95% CIFully adjustedp value
MACE (all-cause death, infarction, revascularization)46 (14.4%)30 (25.0%) 1.81 (1.15–2.84) 0.010 1.56 (0.96–2.53) 0.071
All-cause death17 (5.3%)16 (13.3%) 2.60 (1.31–5.15) 0.006 1.51 (0.75–3.04) 0.251
Cardiovascular death4 (1.3%)7 (5.8%) 4.84 (1.42–16.54) 0.012 2.83 (0.80–10.02) 0.106
Myocardial infarction14 (4.4%)5 (4.2%) 0.98 (0.35–2.72) 0.967 0.93 (0.31–2.74) 0.903
Unplanned revascularization23 (7.2%)14 (11.7%) 1.76 (0.90–3.41) 0.097 1.91 (0.93–3.96) 0.078
Target vessel revascularization16 (5.0%)7 (5.8%) 1.32 (0.54–3.24) 0.543 1.60 (0.60–4.28) 0.347
Target vessel myocardial infarction5 (1.6%)1 (0.8%) 0.56 (0.07–4.79) 0.596 0.61 (0.06–5.79) 0.666

Events are shown as number (%). Analysis of unadjusted and adjusted hazard ratios (HR). Variables used for adjusted analysis: age, sex, hypertension, diabetes, tobacco use, clinical presentation, and percentage of angiographic stenosis. CI — confidence interval; eGFR — estimated glomerular filtration rate; MACE — major adverse cardiac events

Nevertheless, in the categorical analysis of the stages of CKD, the patients from stages G4 and G5 (eGFR of less than 30 mL/min/1.73 m2) showed a marked increase in the incidence of POCE when compared to the reference category (stage G1: eGFR > 60 mL/min/1.73 m2). In this case, the association remained significant in the adjusted analysis, with a HR of 3.10 (95% CI 1.08–8.92; p = 0.036; Table 4, Fig. 2B).
Table 4

Outcomes of patients for different categories of chronic kidney disease (CKD).

Endpoint and CKD category [mL/min/1.73 m2]EventsN (%)UnadjustedHR and 95% CIUnadjustedp valueFully adjustedHR and 95% CIFully adjustedp value
MACE (all cause death, infarction, revascularization):
Stage G1 (> 90)10 (13.3%)
Stage G2 (60–90)39 (16.0%)1.19 (0.59–2.38)0.6301.00 (0.48–2.07)0.998
Stage G3 (30–60)24 (23.1%)1.81 (0.87–3.79)0.1151.38 (0.61–3.10)0.441
Stages G4 and G5 (< 30)7 (43.8%)4.07 (1.55–10.69)0.0043.10 (1.08–8.92)0.036

Events are shown as n (%). Hazard ratios (HR) are derived having in consideration stage G1 as the reference. Variables used for adjusted analysis: age, sex, hypertension, diabetes, tobacco use, clinical presentation, and percentage of angiographic stenosis. CI — confidence interval; MACE — major adverse cardiac events

Interestingly, the higher event rate observed in patients with CKD was not related with the vessel deferred by physiological evaluation. When assessing vessel-oriented outcomes, patients with eGFR < 60 mL/min/1.73 m2 showed similar rates of TVR (5.8% vs. 5.0% in non-CKD patients) and target vessel MI (0.8% vs. 1.6% in non-CKD patients) related to the vessel left untreated on the grounds of non-ischemic FFR or iFR vales, both being non-statistically significant in the unadjusted and adjusted analysis (Fig. 2B, C).

Revascularization deferral based on FFR or iFR: Influence on patient outcomes

In the overall population, a total of 345 (78.6%) patients were deferred by FFR, and 94 (21.4%) were deferred by iFR, with a ratio between techniques similar in both groups with and without CKD (p = 0.936). The primary endpoint occurred in 64 (18.6%) patients in which the lesion was deferred by FFR, and in 12 (12.8%) patients deferred by iFR, with no differences between the techniques in patients with eGFR above or below 60 mL/min/1.73 m2 (Fig. 3, Table 5). No significant differences in the incidence of other events were observed when comparing FFR and iFR deferral in patients with or without CKD.
Figure 3

Kaplan-Meier survival plots comparing the technique used for revascularization deferral; A. Cumulative incidence of the primary endpoint in patients without chronic kidney disease (CKD) (estimated glomerular filtration rate [eGFR] > 60 mL/min/1.73 m2) according to the technique of physiological assessment used (fractional flow reserve [FFR] or instantaneous wave-free ratio [iFR]); B. Cumulative incidence of the primary endpoint in patients with CKD (eGFR < 60 mL/min/1.73 m2); CI — confidence interval; HR — hazard ratio.

Table 5

Outcomes for patients according to the technique of pressure wire used to defer treatment and the presence or absence of chronic kidney disease.

EndpointFFR deferrediFR deferredHR and 95% CIP
MACE (death, MI, or revascularization):64 (18.6%)12 (12.8%)0.73 (0.39–1.35)0.310
 > 60 mL/min/1.73 m238 (15.1%)8 (11.8%)0.83 (0.39–1.77)0.624
 < 60 mL/min/1.73 m226 (27.7%)4 (15.4%)0.57 (0.20–1.65)0.302
All-cause mortality:25 (7.3%)8 (8.5%)1.30 (0.59–2.89)0.519
 > 60 mL/min/1.73 m212 (4.8%)5 (7.4%)1.67 (0.59–4.76)0.333
 < 60 mL/min/1.73 m213 (13.8%)3 (11.5%)0.94 (0.27–3.33)0.925
Cardiovascular mortality:8 (2.3%)3 (3.2%)1.48 (0.39–5.59)0.729
 > 60 mL/min/1.73 m22 (0.8%)2 (2.9%)4.15 (0.58–29.60)0.156
 < 60 mL/min/1.73 m26 (6.4%)1 (3.9%)0.62 (0.07–5.16)0.659
MI:16 (4.7%)3 (3.2%)0.87 (0.25–3.00)0.822
 > 60 mL/min/1.73 m212 (4.8%)2 (2.9%)0.74 (0.16–3.30)0.690
 < 60 mL/min/1.73 m24 (4.3%)1 (3.9%)1.36 (0.14–12.88)0.792
Revascularization:33 (9.6%)4 (4.3%)0.48 (0.17–1.35)0.161
 > 60 mL/min/1.73 m220 (8.0%)3 (4.4%)0.61 (0.18–2.05)0.421
 < 60 mL/min/1.73 m213 (13.8%)1 (3.9%)0.28 (0.04–2.16)0.223
TVR:21 (6.1%)2 (2.1%)0.39 (0.09–1.71)0.216
 > 60 mL/min/1.73 m214 (5.6%)2 (2.9%)0.62 (0.14–2.75)0.533
 < 60 mL/min/1.73 m27 (7.5%)0 (0%)
Target vessel MI:4 (1.2%)2 (2.1%)2.57 (0.46–14.24)0.280
 > 60 mL/min/1.73 m23 (1.2%)2 (2.9%)3.48 (0.58–21.03)0.175
 < 60 mL/min/1.73 m21 (1.1%)0 (0%)

Events are shown as number (%). CI — confidence interval; FFR — fractional flow reserve; HR — hazard ratio; iFR — instantaneous wave-free ratio; MACE — major adverse cardiac events MI — myocardial infarction; TVR — target vessel revascularization

Discussion

The main findings of the present study are as follows: i) in patients in whom revascularization of coronary stenosis has been deferred according to pressure-wire evaluation, the presence of CKD is associated with worse outcomes; ii) the excess in POCE observed in CKD patients is not caused by vessel-oriented events related to the deferred stenoses; and iii) no differences in outcomes were noted in CKD patients according to the physiological index (iFR or FFR) used in decision-making. Overall, the findings of the study support the safety of pressure-guidewire based deferral of revascularization in patients with CKD, while highlighting the overall higher cardiovascular risk and worse prognosis of these patients, compared with those with normal renal function. Chronic kidney disease is an independent risk factor for coronary atherosclerosis and cardiovascular disease [9, 12]. Although impairment of renal function is associated with worse outcomes after myocardial revascularization [13, 14], the causes for this increased event rate are unclear. As stated in the introduction, there is a paucity of data on whether physiology-guided revascularization might contribute to better outcomes of CKD patients by avoiding unneeded interventions. Patients with CKD were underrepresented in pivotal studies supporting the value of FFR and iFR. In the FAME and FAME II trials no exclusion criteria were established based on renal function, but in the latter, the prevalence of defined CKD was less than 3% in the overall population. From a theoretical standpoint, it might be possible that the diagnostic yield of both FFR and iFR is impaired in patients with CKD. Endothelial and microvascular dysfunction are common features of CKD, leading to impaired coronary vasodilator capacity [15] and higher microcirculatory resistances [16]. Coronary vasodilator dysfunction is an independent predictor of mortality in patients with CKD [17], with incremental diagnostic power over clinical assessment, left ventricular systolic function, and the presence of ischemia or non-viable myocardium. Due to this, the use of hyperemic-dependent diagnostic methods may be inadequate in establishing the true hemodynamic significance of coronary stenoses in CKD patients. On the other hand, iFR has demonstrated a closer correlation with coronary flow reserve (CFR) values than FFR. Because CFR is predictive of the risk of cardiovascular death regardless of CKD stage [18], it remains plausible that decision-making with FFR and iFR might be associated with differences in patient outcomes. Few studies have focused on the use of physiology-based coronary indices in CKD patients. Tebaldi et al. [16] found that patients with CKD were more likely to have non-ischemic values of FFR, this being more frequent as renal function worsens. Conversely, a short report (n = 42) on hemodialysis patients [19] showed that the optimal cut-off value of FFR for detection of myocardial ischemia (assessed with stress myocardial perfusion imaging techniques) was similar to the cut-off value in the overall population. However, because those studies were transversal in nature and lacked clinical follow-up of their study populations, the clinical impact of an FFR-based treatment strategy remains unknown. In our study, we observed that patients with an eGFR of less than 60 mL/min/1.73 m2 had a higher incidence of the primary endpoint (all-cause death, MI, or unplanned revascularization) when compared to patients with preserved renal function. Although in the adjusted analysis this association was not statistically significant, we could observe a trend (p = 0.071). This conclusion is further supported by the gradient effect that was observed in the staged analysis: as the renal function worsens, the incidence of POCE increases. We observed a 5% annual risk of POCE in the population with CKD, in contrast with a 3.6% annual risk in the non-CKD population. Both are comprised within the upper and lower limits of the incidence of 1-year major cardiovascular events estimated in previous studies of pressure wire-deferred vessels [6, 20]. This difference of POCE between CKD and non-CKD patients was mainly caused by an augmented risk of all cause death, cardiac death, and unplanned revascularizations, the incidence of MI being similar in both groups. What is more relevant, even with this greater incidence of POCE and higher prevalence of comorbidities, there were no significant differences in vessel-oriented events (TVR or target vessel MI) related to the coronary artery interrogated with iFR or FFR. This supports our conclusion that, although patients with CKD are at high-risk for the development of cardiovascular events, deferring lesions according to pressure wire values is safe in terms of the incidence of MI or the necessity of unplanned revascularization in the evaluated vessel. In practice, at 4 years of follow-up, only half of the total amount of revascularizations in patients with renal insufficiency were performed in the previously interrogated vessel, in contrast with 69% in the non-CKD population. Furthermore, in CKD patients only 1 out of every 5 MIs during follow-up was attributable to the vessel assessed. Overall, these observations might reflect a wider progression of the disease in patients with CKD, not restricted to the vessel evaluated with pressure wire, and this leads to events related with other areas of the coronary tree. In the sub-analysis regarding the technique used for physiological assessment, we conclude that, despite obvious limitations, the use of iFR to defer the treatment of intermediate coronary stenosis is associated with similar outcomes to those with the use of FFR, irrespective of the presence or absence of renal insufficiency. However, in this cohort the decision of whether to perform iFR or FFR was at the operator’s discretion, and therefore we cannot exclude the occurrence of selection bias. Additionally, the sample number did not provide enough power to compare both techniques in different CKD stages. In order to precisely address the potential role of non-hyperemic indexes against FFR in more advanced renal insufficiency, a randomized study between both techniques is needed.

Limitations of the study

This study has various limitations. First, it is a single-center, retrospective, and observational study, and even if the results appear to be consistent, they should be considered as hypothesis-generating until further prospective randomized data becomes available. Second, eGFR estimated via creatinine levels could not be a reliable estimator of the baseline renal function in some cases. Although operators are discouraged to perform coronary angiography in the setting of acute renal failure, there was no previous data in order to exclude patients with recent worsening of eGFR. Third, the absence of randomization could have led to involuntary patient selection, avoiding the realization of angiography in patients with worse renal function. Fourth, because of the reduced number of patients with more severe CKD (eGFR < 30 mL/min/1.73 m2), conclusions regarding secondary outcomes or the comparison between iFR and FFR in this subgroup were not feasible due to the lack of statistical power. And fifth, because FFR, iFR, and eGFR are continuous variables, the dichotomization in cut-off points always involves the loss of potentially relevant data. Limitations regarding comparison of FFR and iFR have been previously discussed. On the other hand, our study provides real-world information about outcomes in daily practice, and the results mentioned above can fuel future investigations that will help to elucidate the best therapeutic strategies in CKD patients.

Conclusions

Patients with CKD and coronary lesions deferred upon pressure-wire evaluation have a higher risk of POCE than those with normal renal function, but these events are not related to the deferred vessel. Pressure-wire evaluation is safe in terms of the risk of target vessel revascularization or target vessel MI in this population.
  20 in total

1.  Application of pressure-derived myocardial fractional flow reserve in chronic hemodialysis patients.

Authors:  Kimihiko Hirose; Taishiro Chikamori; Satoshi Hida; Nobuhiro Tanaka; Jun Yamashita; Yuko Igarashi; Tetsushi Saitoh; Hirokazu Tanaka; Akira Yamashina
Journal:  J Cardiol       Date:  2018-01       Impact factor: 3.159

2.  Safety of the Deferral of Coronary Revascularization on the Basis of Instantaneous Wave-Free Ratio and Fractional Flow Reserve Measurements in Stable Coronary Artery Disease and Acute Coronary Syndromes.

Authors:  Javier Escaned; Nicola Ryan; Hernán Mejía-Rentería; Christopher M Cook; Hakim-Moulay Dehbi; Eduardo Alegria-Barrero; Ali Alghamdi; Rasha Al-Lamee; John Altman; Alphonse Ambrosia; Sérgio B Baptista; Maria Bertilsson; Ravinay Bhindi; Mats Birgander; Waldemar Bojara; Salvatore Brugaletta; Christopher Buller; Fredrik Calais; Pedro Canas Silva; Jörg Carlsson; Evald H Christiansen; Mikael Danielewicz; Carlo Di Mario; Joon-Hyung Doh; Andrejs Erglis; David Erlinge; Robert T Gerber; Olaf Going; Ingibjörg Gudmundsdottir; Tobias Härle; Dario Hauer; Farrel Hellig; Ciro Indolfi; Lars Jakobsen; Luc Janssens; Jens Jensen; Allen Jeremias; Amra Kåregren; Ann-Charlotte Karlsson; Rajesh K Kharbanda; Ahmed Khashaba; Yuetsu Kikuta; Florian Krackhardt; Bon-Kwon Koo; Sasha Koul; Mika Laine; Sam J Lehman; Pontus Lindroos; Iqbal S Malik; Michael Maeng; Hitoshi Matsuo; Martijn Meuwissen; Chang-Wook Nam; Giampaolo Niccoli; Sukhjinder S Nijjer; Hans Olsson; Sven-Erik Olsson; Elmir Omerovic; Georgios Panayi; Ricardo Petraco; Jan J Piek; Flavo Ribichini; Habib Samady; Bruce Samuels; Lennart Sandhall; James Sapontis; Sayan Sen; Arnold H Seto; Murat Sezer; Andrew S P Sharp; Eun-Seok Shin; Jasvindar Singh; Hiroaki Takashima; Suneel Talwar; Nobuhiro Tanaka; Kare Tang; Eric Van Belle; Niels van Royen; Christoph Varenhorst; Hugo Vinhas; Christiaan J Vrints; Darren Walters; Hiroyoshi Yokoi; Ole Fröbert; Manesh R Patel; Patrick Serruys; Justin E Davies; Matthias Götberg
Journal:  JACC Cardiovasc Interv       Date:  2018-08-13       Impact factor: 11.195

3.  Coronary vascular dysfunction and prognosis in patients with chronic kidney disease.

Authors:  Venkatesh L Murthy; Masanao Naya; Courtney R Foster; Jon Hainer; Mariya Gaber; Sharmila Dorbala; David M Charytan; Ron Blankstein; Marcelo F Di Carli
Journal:  JACC Cardiovasc Imaging       Date:  2012-10

4.  Coronary flow reserve is predictive of the risk of cardiovascular death regardless of chronic kidney disease stage.

Authors:  David M Charytan; Hicham Skali; Nishant R Shah; Vikas Veeranna; Michael K Cheezum; Viviany R Taqueti; Takashi Kato; Courtney R Bibbo; Jon Hainer; Sharmila Dorbala; Ron Blankstein; Marcelo F Di Carli
Journal:  Kidney Int       Date:  2017-10-13       Impact factor: 10.612

5.  Fractional flow reserve versus angiography for guiding percutaneous coronary intervention.

Authors:  Pim A L Tonino; Bernard De Bruyne; Nico H J Pijls; Uwe Siebert; Fumiaki Ikeno; Marcel van' t Veer; Volker Klauss; Ganesh Manoharan; Thomas Engstrøm; Keith G Oldroyd; Peter N Ver Lee; Philip A MacCarthy; William F Fearon
Journal:  N Engl J Med       Date:  2009-01-15       Impact factor: 91.245

6.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

7.  Mild renal dysfunction associated with incident coronary artery disease in young males.

Authors:  David Pereg; Amir Tirosh; Tzippora Shochat; David Hasdai
Journal:  Eur Heart J       Date:  2007-12-12       Impact factor: 29.983

8.  Impact of chronic kidney disease stages on atherosclerotic plaque components on optical coherence tomography in patients with coronary artery disease.

Authors:  Tomoyo Sugiyama; Shigeki Kimura; Hirofumi Ohtani; Yosuke Yamakami; Keisuke Kojima; Yuichiro Sagawa; Keiichi Hishikari; Hiroyuki Hikita; Takashi Ashikaga; Atsushi Takahashi; Mitsuaki Isobe
Journal:  Cardiovasc Interv Ther       Date:  2016-06-23

9.  The impact of chronic kidney disease on outcomes following percutaneous coronary intervention versus coronary artery bypass grafting in patients with complex coronary artery disease: five-year follow-up of the SYNTAX trial.

Authors:  Milan Milojevic; Stuart J Head; Michael J Mack; Friedrich W Mohr; Marie-Claude Morice; Keith D Dawkins; David R Holmes; Patrick W Serruys; A Pieter Kappetein
Journal:  EuroIntervention       Date:  2018-05-20       Impact factor: 6.534

10.  Use of the Instantaneous Wave-free Ratio or Fractional Flow Reserve in PCI.

Authors:  Justin E Davies; Sayan Sen; Hakim-Moulay Dehbi; Rasha Al-Lamee; Ricardo Petraco; Sukhjinder S Nijjer; Ravinay Bhindi; Sam J Lehman; Darren Walters; James Sapontis; Luc Janssens; Christiaan J Vrints; Ahmed Khashaba; Mika Laine; Eric Van Belle; Florian Krackhardt; Waldemar Bojara; Olaf Going; Tobias Härle; Ciro Indolfi; Giampaolo Niccoli; Flavo Ribichini; Nobuhiro Tanaka; Hiroyoshi Yokoi; Hiroaki Takashima; Yuetsu Kikuta; Andrejs Erglis; Hugo Vinhas; Pedro Canas Silva; Sérgio B Baptista; Ali Alghamdi; Farrel Hellig; Bon-Kwon Koo; Chang-Wook Nam; Eun-Seok Shin; Joon-Hyung Doh; Salvatore Brugaletta; Eduardo Alegria-Barrero; Martijin Meuwissen; Jan J Piek; Niels van Royen; Murat Sezer; Carlo Di Mario; Robert T Gerber; Iqbal S Malik; Andrew S P Sharp; Suneel Talwar; Kare Tang; Habib Samady; John Altman; Arnold H Seto; Jasvindar Singh; Allen Jeremias; Hitoshi Matsuo; Rajesh K Kharbanda; Manesh R Patel; Patrick Serruys; Javier Escaned
Journal:  N Engl J Med       Date:  2017-03-18       Impact factor: 91.245

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