High-sensitivity cardiac troponin decrease after percutaneous coronary intervention in patients with stable coronary artery disease

Clinical outcomes of Fractional Flow Reserve-Guided Percutaneous Coronary Intervention By Coronary Flow Capacity Status in Stable Lesions

BACKGROUND

Coronary flow capacity (CFC) provides integrated information about coronary flow reserve (CFR) and hyperaemic coronary flow and is useful for identifying coronary flow limitation.

AIMS

The aim of this study was to investigate the effect of percutaneous coronary intervention (PCI) on vessel-related major adverse cardiovascular events (MACE) according to CFC status in stable coronary lesions.

METHODS

From a global, multicentre registry of comprehensive physiological assessment, a total of 1,397 patients (1,694 vessels) were analysed. Low CFC was defined for lesions with reduced CFR and inverse of hyperaemic mean transit time (1/hTmn). A predefined definition of CFC (CFR <2.0 and 1/hTmn less than the corresponding percentile) was assessed first in a multivariable marginal Cox proportional model with the interaction term between CFC status and PCI (performed or not), and then the optimal definition of CFC was explored.

RESULTS

We observed a significant interaction between predefined low CFC and PCI (p=0.067). With the optimal definition of CFC (CFR ≤3.2 and 1/hTmn ≤2.8), the HR (95% CI) of PCI was 0.278 (0.103-0.751) and 1.393 (0.783-2.478) in lesions with low and normal CFC, respectively. If lesions with fractional flow reserve (FFR) ≤0.8 and normal CFC had been deferred, the number of PCI would have decreased by 64%.

CONCLUSIONS

FFR-guided PCI for low CFC lesions was associated with reduced incidence of MACE in low CFC but not in normal CFC lesions. Our results suggest the potential use of CFC in combination with FFR for optimising the indication for PCI by reducing potentially unbeneficial PCI.

CLINICAL TRIALS REGISTRATION

https://clinicaltrials.gov/ct2/show/NCT03690713.

The prognostic impact of the serum heart-type fatty acid-binding protein level in patients with sepsis who were admitted to the non-surgical intensive-care unit

Ongoing myocardial damage at the acme of the sepsis status has not been sufficiently evaluated. The clinical data of 160 sepsis patients who require intensive care and 127 outpatients with chronic heart failure (HF) were compared as a retrospective cohort study. Thereafter, the sepsis patients were divided into 3 groups according to the serum heart-type fatty acid-binding protein (H-FABP) quartiles [low H-FABP = Q1 (n = 39), middle H-FABP = Q2/Q3 (n = 81), and high H-FABP = Q4 group (n = 40)]. The H-FABP level was measured within 15 min of admission. The serum H-FABP levels in the sepsis patients [26.6 (9.3-79.0) ng/ml] were significantly higher than in the choric HF patients [6.6 (4.6-9.7) ng/ml]. A Kaplan-Meier curve showed that the survival rate of the high-H-FABP group was significantly lower than that of the middle- and low-H-FABP groups. The multivariate Cox regression analysis for the 365-day mortality showed that the high-H-FABP group (hazard ratio: 6.544, 95% confidence interval [CI] 2.026-21.140; p = 0.002) was an independent predictor of the 365-day mortality. The same trend in the prognostic impact was significantly (p = 0.015) observed in the cohort that had not been suffering from the cardiac disease before admission. The serum H-FABP level was an independent predictor of the 365-day mortality in the patients who were emergently hospitalized in the intensive-care unit due to sepsis. Ongoing myocardial damage was detected in the majority of patients with sepsis, suggesting that ongoing myocardial damage might be a candidate predictor of adverse outcomes in sepsis patients.

Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning

Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications. This study aimed to detect and define the sub-phenotypes of vessels with low coronary flow reserve (CFR) epicardial disease by unsupervised machine-learning methods. Hierarchical clustering was applied to 376 vessels from 364 patients with CFR less than the median and fractional flow reserve ≤ 0.8 from a global, multicenter registry. Detailed features of coronary flow physiology and survivals from vessel-oriented composite outcomes (VOCO) were assessed according to the clusters. Clustering defined three distinct physiological subgroups (PS). PS1 (n = 151) were characterized by high resting coronary flow, dominantly left anterior descending artery (LAD) lesions. PS2 (n = 131) were, in contrast, low hyperemic coronary flow, mainly LAD lesions. PS3 (n = 82) mostly consisted of non-LAD lesions with similar flow status to PS1 except for the low hyperemic Pd. Survivals from VOCO were significantly different according to the clusters (p = 0.005) and PS3 had the highest rate of VOCO. In a COX proportional model predicting VOCO, there was a significant interaction between PCI and PSs, suggesting potentially different effects of PCI on outcome between PS1 and PS2. The unsupervised machine-learning approaches provided unique insights into low CFR condition. Among low CFR epicardial lesions, high resting flow with low hyperemic Pd might be related to poor prognosis, and low hyperemic flow in LAD could benefit from elective PCI. CLINICAL TRIAL REGISTRATION INFORMATION: https://clinicaltrials.gov/ct2/show/NCT03690713 , NCT03690713.