Objectives: To evaluate microvascular perfusion and left ventricular function in patients with acute ST-segment elevation myocardial infarction after revascularization using myocardial contrast echocardiography (MCE), and to explore clinical influencing factors of abnormal microvascular perfusion in these patients. Methods: This is a cross-sectional study. The analysis was performed among patients admitted to Peking University People's Hospital for acute ST-segment elevation myocardial infarction (STEMI) from June 2018 to July 2021. All patients underwent percutaneous coronary intervention (PCI) and completed MCE within 48 hours after PCI. Patients were divided into normal myocardial perfusion group and abnormal perfusion group according to the myocardial perfusion score. The echocardiographic indexes within 48 hours after PCI, including peak mitral valve flow velocity (E), mean value of early diastolic velocity of left ventricular septum and lateral mitral annulus (Em), left ventricular global longitudinal strain (GLS) and so on, were analyzed and compared between the two groups. Multivariate logistic regression analysis was used to evaluate the influencing factors of myocardial perfusion abnormalities. Results: A total of 123 STEMI patients, aged 59±13 years with 93 (75.6%) males, were enrolled. There were 50 cases in the normal myocardial perfusion group, and 73 cases in the abnormal myocardial perfusion group. The incidence of abnormal myocardial perfusion was 59.3% (73/123). The left ventricular volume index ((62.3±18.4)ml/m² vs. (55.1±15.2)ml/m², P=0.018), wall motion score index (WMSI) (1.59 (1.44, 2.00) vs. 1.24(1.00, 1.47), P<0.001) and mitral E/Em (17.8(12.0, 24.3) vs. 12.2(9.2, 15.7), P<0.001) were significantly higher whereas left ventricular global longitudinal strain (GLS) ((-10.8±3.4)% vs. (-13.8±3.5)%, P<0.001) was significantly lower in the abnormal myocardial perfusion group than those in the normal myocardial perfusion group. Multivariate logistic regression analysis showed that left anterior descending (LAD) as culprit vessel (OR=3.733, 95%CI 1.282-10.873, P=0.016), intraoperative no/low-reflow (OR=6.125, 95%CI 1.299-28.872, P=0.022), and peak troponin I (TnI) (OR=1.018, 95%CI 1.008-1.029, P=0.001) were independent risk factors of abnormal myocardial perfusion. As for ultrasonic indexes, deceleration time of mitral E wave (OR=0.979, 95%CI 0.965-0.993, P=0.003), mitral E/Em (OR=1.100, 95%CI 1.014-1.194, P=0.022) and WMSI (OR=7.470, 95%CI 2.630-21.222, P<0.001) were independently related to abnormal myocardial perfusion. Conclusions: The incidence of abnormal myocardial perfusion after PCI is high in patients with acute STEMI. Abnormal myocardial perfusion is related to worse left ventricular systolic and diastolic function. LAD as culprit vessel, intraoperative no/low-reflow and peak TnI are independent risk factors of abnormal myocardial perfusion.
Male ; Humans ; Female ; ST Elevation Myocardial Infarction/diagnostic imaging* ; Percutaneous Coronary Intervention ; Cross-Sectional Studies ; Coronary Circulation ; Echocardiography ; Anterior Wall Myocardial Infarction/etiology* ; Ventricular Function, Left ; Perfusion

Coronary artery fractional flow reserve (FFR) is a critical physiological indicator for assessment of impaired blood flow caused by coronary artery stenosis. The wire-based invasive measurement of blood flow pressure gradient across stenosis is the gold standard for clinical measurement of FFR. However, it has the risk of vascular injury and requires the use of vasodilators, increasing the time and overall cost of interventional examination. Coronary imaging is playing an important role in clinical diagnosis of stenotic lesions, evaluation of severity of lesions, and planning of therapies. In recent years, the computation of FFR based on the physiological information of blood flow obtained from routinely collected coronary image data has become a research focus in this field. This technique reduces the cost of physiological assessment of coronary lesions and the use of pressure wires. It is beneficial to strengthen the physiological guidance in interventional therapy. In order to better understand this emerging technique, this paper highlights its implementation principle and diagnostic performance, analyzes practical problems and current challenges in clinical applications, and discusses possible future development.
Humans ; Coronary Vessels/diagnostic imaging* ; Fractional Flow Reserve, Myocardial ; Heart ; Constriction, Pathologic ; Coronary Stenosis/diagnostic imaging*

OBJECTIVE: To investigate the value of coronary computed tomographic angiography (CCTA)-based fractional flow reserve (CT-FFR) and plaque quantitative analysis in predicting adverse outcomes in patients with non-obstructive coronary heart disease (CAD). METHODS: Clinical data of patients with non-obstructive CAD who underwent CCTA at the Affiliated Hospital of Jiangnan University from March 2014 to March 2018 were retrospectively analyzed and followed up, and the occurrence of major adverse cardiovascular event (MACE) was recorded. The patients were divided into MACE and non-MACE groups according to the occurrence of MACE. The clinical data, CCTA plaque characteristics including plaque length, stenosis degree, minimum lumen area, total plaque volume, non-calcified plaque volume, calcified plaque volume, plaque burden (PB) and remodelling index (RI), and CT-FFR were compared between the two groups. Multivaritate Cox proportional risk model was used to evaluate the relationship between clinical factors, CCTA parameters and MACE. The receiver operator characteristic curve (ROC curve) was used to assess the predictive power of outcome prediction model based on different CCTA parameters. RESULTS: Finally 217 patients were included, of which 43 (19.8%) had MACE and 174 (80.2%) did not. The median follow-up interval was 24 (16, 30) months. The CCTA showed that patients in the MACE group had more severe stenosis than that in the non-MACE group [(44.3±3.8)% vs. (39.5±2.5)%], larger total plaque volume and non-calcified plaque volume [total plaque volume (mm³): 275.1 (197.1, 376.9), non-calcified plaque volume (mm³): 161.5 (114.5, 307.8) vs. 117.9 (77.7, 185.5)], PB and RI were larger [PB: 50.2% (42.1%, 54.8%) vs. 45.1% (38.2%, 51.7%), RI: 1.19 (0.93, 1.29) vs. 1.03 (0.90, 1.22)], CT-FFR value was lower [0.85 (0.80, 0.88) vs. 0.92 (0.87, 0.97)], and the differences were statistically significant (all P < 0.05). Cox regression analysis showed that non-calcified plaques volume [hazard ratio (HR) = 1.005. 95% confidence interval (95%CI) was 1.025-4.866], PB ≥ 50% (HR = 3.146, 95%CI was 1.443-6.906), RI ≥ 1.10 (HR = 2.223, 95%CI was 1.002-1.009) and CT-FFR ≤ 0.87 (HR = 2.615, 95%CI was 1.016-6.732) were independent predictors of MACE (all P < 0.05). The model based on CCTA stenosis degree+CT-FFR+quantitative plaque characteristics (including non-calcified plaque volume, RI, PB) [area under the ROC curve (AUC) = 0.91, 95%CI was 0.87-0.95] had significantly better predictive efficacy for adverse outcomes than the model based on CCTA stenosis degree (AUC = 0.63, 95%CI was 0.54-0.71) and the model based on CCTA stenosis degree+CT-FFR (AUC = 0.71, 95%CI was 0.63-0.79; both P < 0.01). CONCLUSIONS CT-FFR and plaque quantitative analysis based on CCTA are helpful in predicting adverse outcomes in patients with non-obstructive CAD. Non-calcified plaque volume, RI, PB and CT-FFR are important predictors of MACE. Compared with the prediction model based on stenosis degree and CT-FFR, the combined plaque quantitative index can significantly improve the prediction efficiency of adverse outcomes in patients with non-obstructive CAD.
Humans ; Fractional Flow Reserve, Myocardial ; Coronary Angiography/methods* ; Constriction, Pathologic ; Retrospective Studies ; ROC Curve ; Predictive Value of Tests ; Plaque, Atherosclerotic/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Tomography, X-Ray Computed ; Coronary Artery Disease/diagnostic imaging*

Objective: To investigate the clinical value of observing perioperative changes of myeloperoxidase (MPO) and neutrophil elastase (NE) in coronary artery circulation in patients underwent valve replacement surgery. Methods: This perspective cohort study was performed in patients who underwent valvular surgery in Nanjing Drum Tower Hospital and Fuwai Hospital from June 2021 to June 2022. Patients were divided into perioperative myocardial injury group and age-, sex- and type of cardiac procedure-matched non-perioperative myocardial injury control group in the ratio of 1∶1. Perioperative myocardial injury was defined as cardiac troponin T (cTnT)>0.8 μg/L on the first postoperative day (POD), and the cTnT level on the second POD increased by more than 10% compared with the cTnT level on the first POD. During the operation, blood samples were collected from the coronary sinus before clamping ascending aorta, and within 5 minutes after de-clamping ascending aorta. Then, the levels of MPO and NE on coronary sinus were continuously measured. The death, severe ventricular arrhythmia, pneumonia, re-intubation, repeat cardiac surgery, extracorporeal membrane oxygenation (ECMO), intra-aortic balloon pump (IABP), continuous renal replacement therapy (CRRT), mechanical ventilation time and the duration of intensive care unit (ICU) were recorded. The levels of MPO and NE and the incidence of clinical outcomes were compared between the myocardial injury group and the control group. The independent risk factors of myocardial injury were analyzed by multivariate logistic regression. Results: A total of 130 patients were enrolled, aged (60.6±7.6) years old, with 59 males (45.4%). There were 65 patients in the myocardial injury group and 65 patients in the control group. During hospitalization, there was no death, ECMO, IABP and CRRT cases in both groups. Compared with the control group, the incidence of severe ventricular arrhythmia (13.8%(9/65) vs. 3.1%(2/65), P=0.03), pneumonia (20.0%(13/65) vs. 3.1%(2/65), P=0.03), re-intubation (6.2%(4/65) vs. 0, P=0.04) was significantly higher in myocardial injury group. The mechanical ventilation time (16.8(10.7, 101.7) h vs. 7.5(4.7, 15.1) h, P<0.01), and the duration of ICU (3.7(2.7, 18.9) vs. 2.7(1.8, 6.9)d, P<0.01) were significantly longer in myocardial injury group compared with the control group. There was no significant difference in the levels of MPO and NE in coronary sinus blood between the two groups before aortic clamping (all P>0.05). However, MPO ((551.3±124.2) μg/L vs. (447.2±135.9) μg/L, P<0.01) and NE ((417.0±83.1)μg/L vs. (341.0±68.3)μg/L, P<0.01) after 5 min aortic de-clamping were significantly higher in myocardial injury group than in the control group. Multivariate logistic regression analysis showed that the levels of NE (OR=1.02, 95%CI: 1.01-1.02, P<0.01), MPO (OR=1.00, 95%CI: 1.00-1.01, P=0.02) and mechanical ventilation time (OR=1.03, 95%CI: 1.01-1.06, P=0.02) were independent risk factors of myocardial injury in patients after surgical valvular replacement. Conclusion: Perioperative myocardial injury is related poor clinical outcomes, perioperative NE and MPO in coronary artery circulation are independent risk factors of perioperative myocardial injury in patients undergoing valve replacement surgery.
Aged ; Humans ; Male ; Middle Aged ; Cohort Studies ; Coronary Circulation ; Leukocyte Elastase ; Peroxidase ; Prognosis ; Retrospective Studies ; Female

Humans ; Coronary Angiography ; Microcirculation ; Coronary Artery Disease/drug therapy* ; Treatment Outcome ; Vascular Resistance ; Coronary Vessels ; Coronary Circulation ; Predictive Value of Tests ; Fractional Flow Reserve, Myocardial

Humans ; ST Elevation Myocardial Infarction ; Microcirculation ; Myocardial Infarction ; Coronary Circulation ; Vascular Resistance ; Percutaneous Coronary Intervention

Humans ; ST Elevation Myocardial Infarction ; Microcirculation ; Myocardial Infarction ; Coronary Circulation ; Vascular Resistance ; Percutaneous Coronary Intervention

The dysfunction of coronary microcirculation is an important cause of coronary artery disease (CAD). The index of microcirculatory resistance (IMR) is a quantitative evaluation of coronary microcirculatory function, which provides a significant reference for the prediction, diagnosis, treatment, and prognosis of CAD. IMR also plays a key role in investigating the interaction between epicardial and microcirculatory dysfunctions, and is closely associated with coronary hemodynamic parameters such as flow rate, distal coronary pressure, and aortic pressure, which have been widely applied in computational studies of CAD. However, there is currently a lack of consensus across studies on the normal and pathological ranges of IMR. The relationships between IMR and coronary hemodynamic parameters have not been accurately quantified, which limits the application of IMR in computational CAD studies. In this paper, we discuss the research gaps between IMR and its potential applications in the computational simulation of CAD. Computational simulation based on the combination of IMR and other hemodynamic parameters is a promising technology to improve the diagnosis and guide clinical trials of CAD.
Coronary Angiography ; Coronary Artery Disease ; Coronary Circulation ; Humans ; Microcirculation ; Predictive Value of Tests ; Vascular Resistance

Humans ; Computed Tomography Angiography ; Deep Learning ; Coronary Angiography ; Coronary Artery Disease ; Tomography, X-Ray Computed ; Coronary Stenosis/diagnosis* ; Retrospective Studies ; Fractional Flow Reserve, Myocardial ; Predictive Value of Tests

Coronary Angiography ; Coronary Circulation ; Coronary Vessels ; Humans ; Microcirculation ; Myocardial Ischemia