BACKGROUND: The potential impact of pre-existing coronary artery stenosis (CAS) on right ventricular (RV) function during acute pulmonary embolism (PE) episodes remains underexplored. This study aimed to investigate the association between pre-existing CAS and RV dysfunction in patients with acute PE. METHODS: In this multicenter, case-control study, 89 cases and 176 controls matched for age were enrolled at three study centers (Peking Union Medical College Hospital, Fuwai Hospital, and the Second Affiliated Hospital of Harbin Medical University) from January 2016 to December 2020. The cases were patients with acute PE with CAS, and the controls were patients with acute PE without CAS. Coronary artery assessment was performed using coronary computed tomographic angiography. CAS was defined as ≥50% stenosis of the lumen diameter in any coronary vessel >2.0 mm in diameter. Conditional logistic regression analysis was used to evaluate the association between CAS and RV dysfunction. RESULTS: The percentages of RV dysfunction (19.1% [17/89] vs. 44.6% [78/176], P <0.001) and elevated systolic pulmonary artery pressure (sPAP) (19.3% [17/89] vs. 39.5% [68/176], P = 0.001) were significantly lower in the case group than those in the control group. In the multivariable logistic regression model, CAS was independently and negatively associated with RV dysfunction (adjusted odds ratio [OR]: 0.367; 95% confidence interval [CI]: 0.185-0.728; P = 0.004), and elevated sPAP (OR: 0.490; 95% CI: 0.252-0.980; P = 0.035), respectively. CONCLUSIONS Pre-existing CAS was significantly and negatively associated with RV dysfunction and elevated sPAP in patients with acute PE. This finding provides new insights into RV dysfunction in patients with acute PE with pre-existing CAS.
Humans ; Pulmonary Embolism/complications* ; Case-Control Studies ; Male ; Ventricular Dysfunction, Right/physiopathology* ; Female ; Middle Aged ; Aged ; Coronary Stenosis/complications* ; Logistic Models ; Adult

A 72-year-old patient with quadricuspid aortic valve underwent transcatheter aortic valve replacement due to severe valve stenosis accompanied by moderate insufficiency. As initially planned, the right coronary artery was protected during the procedure. However, after the artificial valve was released, the left coronary artery was found to be blocked, so a coronary protection stent was implanted in the left coronary artery ostium under the guidance of intravascular ultrasonography. This case indicates that for patients with a quadricuspid aortic valve undergoing transcatheter aortic valve replacement, in addition to preoperative measurement of the aortic root, attention should also be paid to the coronary artery obstruction caused by the displacement of the artificial valve frame during the procedure.
Aged ; Humans ; Aortic Valve/surgery* ; Aortic Valve Stenosis/surgery* ; Coronary Vessels ; Stents ; Transcatheter Aortic Valve Replacement/methods*

Transcatheter aortic valve replacement (TAVR) has emerged as the first-line treatment for aortic valve stenosis. Coronary obstruction is a severe complication of TAVR, with mortality rates exceeding 30%. Coronary obstruction can be classified as acute or delayed based on the timing of the onset, and as direct or indirect obstruction according to the underlying mechanism. Risk factors for predicting coronary obstruction include a small sinus of Valsalva diameter, excessively long native leaflets, low coronary height, and small sinotubular junction height and diameter. Accurate preoperative assessment of these anatomical parameters using CT is crucial for selecting the appropriate valve type, size, and implantation depth. Preventive technical strategies for coronary obstruction include intraoperative interventional treatments (such as the "Chimney" stenting technique), leaflet modification (such as the BASILICA technique), and alignment of the annulus and coronaries. These techniques have demonstrated significant efficacy in reducing the incidence of coronary obstruction and associated mortality. This paper reviews the epidemiology, classification, and mechanisms of coronary obstruction, with a particular focus on the identification, prevention, and treatment of high-risk patients. The aim is to highlight the importance of recognizing and managing coronary risks during TAVR and to provide actionable recommendations for the prevention and treatment of coronary obstruction in clinical practice.
Humans ; Transcatheter Aortic Valve Replacement/methods* ; Risk Factors ; Aortic Valve Stenosis/surgery* ; Postoperative Complications/prevention & control* ; Coronary Occlusion/etiology*

OBJECTIVES: To diagnose coronary artery stenosis by using the postmortem computed tomography angiography (PMCTA), and to explore the diagnostic value of PMCTA in sudden cardiac death. METHODS: Six death cases were selected, and the contrast medium iohexol was injected under high pressure through femoral artery approach with 5F pigtail catheter to obtain coronary image data and then the data was analyzed. The results of targeted coronary imaging and coronary artery calcium score (CaS) were compared with the results of conventional autopsy and histopathological examination. RESULTS: The autopsy and histopathological examination of cases with coronary artery stenosis obtained similar results in targeted coronary angiography, with a diagnostic concordance rate of 83.3%. Targeted coronary angiography could effectively show coronary artery diseases, and the CaS was consistent with the results of conventional autopsy and histopathological examination. CONCLUSIONS Targeted coronary angiography can be used as an effective auxiliary method for conventional autopsy in cases of sudden cardiac death.
Humans ; Computed Tomography Angiography/methods* ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Death, Sudden, Cardiac/pathology*

Objective: This study aimed to investigate the association between epicardial fat volume (EFV) and obstructive coronary artery disease (CAD) with myocardial ischemia, and evaluate the incremental value of EFV on top of traditional risk factors and coronary artery calcium (CAC) in predicting obstructive CAD with myocardial ischemia. Methods: This study was a retrospective cross-sectional study. Patients with suspected CAD who underwent coronary angiography (CAG) and single photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) at the Third Affiliated Hospital of Soochow University from March 2018 to November 2019 were consecutively enrolled. EFV and CAC were measured by non-contrast chest computed tomography (CT) scan. Obstructive CAD was defined as coronary artery stenosis≥50% in at least one of the major epicardial coronary arteries, and myocardial ischemia was defined as reversible perfusion defects in stress and rest MPI. Obstructive CAD with myocardial ischemia was defined in patients with coronary stenosis severity≥50% and reversible perfusion defects in the corresponding areas of SPECT-MPI. Patients with myocardial ischemia bot without obstructive CAD were defined as none-obstructive CAD with myocardial ischemia group. We collected and compared the general clinical data, CAC and EFV between the two groups. Multivariable logistic regression analysis was performed to identify the relationship between EFV and obstructive CAD with myocardial ischemia. ROC curves were performed to determine whether addition of EFV improved predictive value beyond traditional risk factors and CAC for obstructive CAD with myocardial ischemia. Results: Among the 164 patients with suspected CAD, 111 patients were males, and average age was (61.4±9.9) years old. 62 (37.8%) patients were included into the obstructive CAD with myocardial ischemia group. 102 (62.2%) patients were included into the none-obstructive CAD with myocardial ischemia group. EFV was significantly higher in obstructive CAD with myocardial ischemia group than in none-obstructive CAD with myocardial ischemia group ((135.63±33.29)cm³ and (105.18±31.16)cm³, P<0.01). Univariate regression analysis showed the risk of obstructive CAD with myocardial ischemia increased by 1.96 times for each SD increase in EFV(OR 2.96; 95%CI, 1.89-4.62; P<0.01). After adjustment for traditional risk factors and CAC, EFV remained as an independent predictor for obstructive CAD with myocardial ischemia (OR, 4.48, 95%CI, 2.17-9.23; P<0.01). Addition of EFV to CAC and traditional risk factors was related to larger AUC for predicting obstructive CAD with myocardial ischemia (0.90 vs. 0.85, P=0.04, 95%CI: 0.85-0.95) and the global chi-square increased by 21.81 (P<0.05). Conclusions: EFV is an independent predictor for obstructive CAD with myocardial ischemia. Addition of EFV to traditional risk factors and CAC has incremental value for predicting obstructive CAD with myocardial ischemia in this patient cohort.
Male ; Humans ; Middle Aged ; Aged ; Female ; Coronary Artery Disease/diagnostic imaging* ; Cross-Sectional Studies ; Retrospective Studies ; Myocardial Ischemia/diagnostic imaging* ; Coronary Stenosis ; Calcium

Humans ; Sinus of Valsalva ; Death, Sudden, Cardiac/etiology* ; Coronary Stenosis/complications*

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*

Humans ; Female ; Coronary Artery Disease/complications* ; Hyperlipoproteinemia Type II/complications* ; Aortic Valve Stenosis/etiology* ; Treatment Outcome

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 diagnostic efficiency and incremental value of quantitative myocardial blood flow measurements by Cadmium-Zine-Telluride (CZT) single photon emission computed tomography (SPECT) dynamic myocardial perfusion imaging (MPI) in patients with coronary artery disease (CAD) compared with traditional semi-quantitative measurements by MPI. Methods: This is a retrospective, cross-sectional study. We retrospectively analyzed clinical data of patients with suspected or known CAD, who underwent the dynamic MPI quantitative blood flow measurement of CZT SPECT in TEDA International Cardiovascular Hospital from October 2018 to December 2020. Clinical data, semi-quantitative parameters (stress score (SS), rest score (RS) and different score (DS)) and myocardial quantitative blood flow parameters (rest myocardial blood flow (rMBF), stress myocardial blood flow (sMBF) and myocardial flow reserve (MFR)) were analyzed. According to the results of coronary angiography, patients were divided into the stenosis group and the control group with coronary artery stenosis ≥50% or ≥75% as the diagnosis criteria. The differences of quantitative and semi-quantitative parameters between the two groups were compared, and the diagnostic efficacy was compared by receiver operating characteristic(ROC) curve. Results: A total of 98 patients with a mean age of (62.1±8.7) years were included in the study, including 66 males (67%). At the patient level, with the positive standard of coronary artery stenosis≥50%, the left ventricle (LV) stress MBF (LV-sMBF) ((1.36±0.45) ml·min^-1·g^-1) and LV-MFR (1.45±0.43) of the stenosis group were lower than the LV-sMBF ((2.09±0.64) ml·min^-1·g^-1) and LV-MFR (2.17±0.54) of control group; summed SS and summed DS were higher than control group (all P<0.05). With the positive standard of coronary artery stenosis ≥75%, the LV-sMBF ((1.19±0.34) ml·min^-1·g^-1) and LV-MFR (1.34±0.35) of stenosis group were lower than the LV-sMBF ((1.94±0.63) ml·min^-1·g^-1) and MFR (2.00±0.58) of control group; all semi-quantitative parameters were higher than control group (all P<0.05). At the vascular level, with coronary artery stenosis ≥50% as the diagnosis criteria, the sMBF ((1.26±0.49) ml·min^-1·g^-1) and MFR (1.35±0.46) of stenosis group were lower than the sMBF ((1.95±0.70) ml·min^-1·g^-1) and MFR (2.05±0.65) of control group; SS and DS were higher than control group (all P<0.05). With coronary artery stenosis≥75% as the diagnosis criteria, the sMBF ((1.12±0.41) ml·min^-1·g^-1) and MFR (1.25±0.38) of stenosis group were lower than the sMBF ((1.84±0.70) ml·min^-1·g^-1) and MFR (1.93±0.66) of control group; all semi-quantitative parameters were higher than control group (all P<0.05). With coronary artery stenosis≥50% as the diagnosis criteria and CAG as the reference standard, the AUC and 95%CI of myocardial quantitative blood flow parameters indicated by ROC curve for diagnosis of CAD were 0.830 (0.783-0.877). The sensitivity (86.1% vs. 61.5%), specificity (82.6% vs. 73.8%), positive predictive value (77.8% vs. 62.5%), negative predictive value (89.3% vs. 73.0%) and accuracy (84.0% vs. 68.7%) were all higher than the semi-quantitative parameters (all P<0.05). With coronary artery stenosis≥75% as the diagnosis criteria, the AUC and 95%CI of myocardial quantitative blood flow parameters indicated by ROC curve for diagnosis of CAD were 0.832(0.785-0.879). The sensitivity (89.2% vs. 67.6%), negative predictive value (95.5% vs. 86.2%) and accuracy (80.6% vs. 68.0%) were all higher than semi-quantitative parameters (all P<0.05). Conclusion: Compared with traditional SPECT MPI derived semi-quantitative parameters, diagnostic efficacy for CAD is higher using CZT SPECT quantitative myocardial blood flow parameters, this strategy thus has additional diagnostic benefits and incremental value on the diagnosis of CAD.
Aged ; Constriction, Pathologic ; Coronary Angiography ; Coronary Artery Disease/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Cross-Sectional Studies ; Humans ; Male ; Middle Aged ; Myocardial Perfusion Imaging/methods* ; Retrospective Studies ; Tomography, Emission-Computed, Single-Photon/methods*