Published online Dec 26, 2017. doi: 10.4330/wjc.v9.i12.813
Peer-review started: July 27, 2017
First decision: September 5, 2017
Revised: September 29, 2017
Accepted: October 29, 2017
Article in press: October 29, 2017
Published online: December 26, 2017
Processing time: 148 Days and 12.9 Hours
Accurate assessment of coronary stenosis is an important aspect of interventional cardiology. Although existing functional diagnostic indices such as fractional flow reserve (FFR) and coronary flow reserve (CFR) have been validated extensively via clinical trials, their efficacy is limited in the presence of concomitant microvascular disease (MVD) as they depend solely on pressure or flow measurements. This pilot study explores the efficacy of a combined pressure-flow diagnostic endpoint, pressure drop coefficient (CDP) compared to pressure-based FFR. It was hypothesized that CDP would show better clinical outcomes compared to FFR for patient subgroups with MVD.
Diagnosis of epicardial stenosis (ES) with concomitant MVD is a challenge with existing diagnostic indices (such as FFR, CFR) as they depend solely on pressure or flow. Pressure-based FFR can be overestimated in the presence of concomitant MVD, leading to possible misdiagnosis of severity of the stenosis, while CFR cannot differentiate between the effects of the stenosis and MVD. There is a need for combined pressure-flow diagnostic endpoints (such as CDP) to better diagnose coronary stenosis, particularly in the presence of MVD.
The primary objective of this research was to compare the clinical outcomes of patients with stenosis and possible MVD evaluated using FFR and CDP. Secondly, CDP was correlated with an existing index (HMR) used to evaluate the severity of MVD. CDP showed better clinical outcomes compared to FFR, as well as longer survival times for the patients. Also, CDP showed significant correlation with HMR, validating its efficacy at evaluation of MVD. It is to be noted that larger sample sizes and a randomized clinical trial is required to further confirm the results of this exploratory pilot study.
Patients from our clinical trial was divided into two subgroups with: (1) cut-off of CFR < 2.0; and (2) diabetes. First, correlations were performed for both subgroups between CDP and HMR, a diagnostic parameter for assessing the severity of MVD. Linear regression analysis was used for these correlations. Further, in each of the subgroups, comparisons were made between FFR < 0.75 and CDP > 27.9 groups for assessing major adverse cardiac events (MACE: primary outcome). Comparisons were also made between the survival curves for FFR < 0.75 and CDP > 27.9 groups. Two tailed chi-squared and Fischer’s exact tests were performed for comparison of the primary outcomes, and the log-rank test was used to compare the Kaplan-Meier survival curves. P < 0.05 for all tests was considered statistically significant.
Significant linear correlations were observed between CDP and HMR for both CFR < 2.0 (r = 0.58, P < 0.001) and diabetic (r = 0.61, P < 0.001) patients. In the CFR < 2.0 subgroup, the %MACE (primary outcomes) for CDP > 27.9 group (7.7%, 2/26) was lower than FFR < 0.75 group (3/14, 21.4%); P = 0.21. Similarly, in the diabetic subgroup, the %MACE for CDP > 27.9 group (12.5%, 2/16) was lower than FFR < 0.75 group (18.2%, 2/11); P = 0.69. Survival analysis for CFR < 2.0 subgroup indicated better event-free survival for CDP > 27.9 group (n = 26) when compared with FFR < 0.75 group (n = 14); P = 0.10. Similarly, for the diabetic subgroup, CDP > 27.9 group (n = 16) showed higher survival times compared to FFR group (n = 11); P = 0.58.
CDP correlated significantly with HMR and resulted in better %MACE as well as survival rates in comparison to FFR. These positive trends demonstrate that CDP could be a potential diagnostic endpoint for delineating MVD with or without ES.
This study highlights the ability of CDP in delineating MVD in patients with or without ES. In this patient subgroup analysis, CDP showed better clinical outcomes and higher survival rates compared to FFR, which is the current gold standard in functional diagnosis of coronary artery disease. There is a clear need for functional diagnostic endpoints which can better evaluate ES with concomitant MVD. In future, a large scale randomized clinical trial comparing the outcomes of CDP and FFR is required.