OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

Objective To develop a diagnostic model combining the CT angiography(CCTA)-derived myocardial radiomics signatures with the CT-derived fractional flow reserve(CT-FFR)based on coronary CCTA and investigate the diagnostic accuracy of the hybrid model for hemodynamically significant coronary artery disease(CAD).Methods The patients presenting stable angina pectoris,diagnosed with CAD,and clinically referred for CCTA examination and invasive coronary angiography were prospectively recruited.Radiomics features of the left ventricular myocardium were extracted from the three main perfusion territories demarcated according to the coronary blood supply.The extracted features were first selected by the minimum redundancy maximum relevance feature ranking method.A least absolute shrinkage and selection operator Logistic regression algorithm with leave-one-out cross-validation was then employed to construct a radiomics model.The CT-FFR value was generated for each blood vessel.The area under the receiver operating characteristics curve(AUC_ROC),sensitivity,and specificity were adopted to evaluate the performance of each model against the reference standard invasive coronary angiography/FFR.Results A total of 70 patients[42 men and 28 women;(61±10) years old] were included in this study and complemented CCTA examination,with 175 vessels and the corresponding myocardial territories undergoing invasive coronary angiography/FFR.A total of 1 656 specific radiomics parameters were extracted,from which 14 features were selected to establish the radiomics model.The AUC_ROC,sensitivity,and specificity were 0.797(95%CI=0.732-0.861),77.1%,and 73.7%for the radiomics model,0.892(95%CI=0.841-0.943),81.4%,and 88.8%for the CT-FFR model,and 0.928(95%CI=0.890-0.965),83.3%,and 88.4%for the hybrid model,respectively.The hybrid model outperformed the radiomics model and CT-FFR alone(P=0.040).Conclusions The radiomics signatures of the vessel-related myocardium from CCTA could provide incremental value to the diagnostic performance of CT-FFR and improve vessel-specific ischemia detection.The hybrid model combining CT-FFR with radiomics signatures is potentially feasible for improving the diagnostic accuracy for hemodynamically significant CAD.
Coronary Angiography/methods* ; Tomography, X-Ray Computed ; Humans ; Hemodynamics ; Coronary Artery Disease/diagnostic imaging* ; Male ; Female ; Middle Aged ; Aged ; Radiomics ; Angina Pectoris/diagnostic imaging* ; China ; Image Processing, Computer-Assisted ; Coronary Vessels/diagnostic imaging*

Humans ; Coronary Artery Disease/therapy* ; Consensus ; Tomography, Optical Coherence/methods* ; East Asian People ; Coronary Angiography ; Coronary Vessels/diagnostic imaging* ; Ultrasonography, Interventional/methods*

Humans ; Intra-Abdominal Fat/diagnostic imaging* ; Coronary Artery Disease ; Body Mass Index

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 evaluate the prognostic value of left ventricular ejection fraction (LVEF) reserve assessed by gated SPECT myocardial perfusion imaging (SPECT G-MPI) for major adverse cardiovascular event (MACE) in patients with coronary artery disease. Methods: This is a retrospective cohort study. From January 2017 to December 2019, patients with coronary artery disease and confirmed myocardial ischemia by stress and rest SPECT G-MPI, and underwent coronary angiography within 3 months were enrolled. The sum stress score (SSS) and sum resting score (SRS) were analyzed by the standard 17-segment model, and the sum difference score (SDS, SDS=SSS-SRS) was calculated. The LVEF at stress and rest were analyzed by 4DM software. The LVEF reserve (ΔLVEF) was calculated (ΔLVEF=stress LVEF-rest LVEF). The primary endpoint was MACE, which was obtained by reviewing the medical record system or by telephone follow-up once every twelve months. Patients were divided into MACE-free and MACE groups. Spearman correlation analysis was used to analyze the correlation between ΔLVEF and all MPI parameters. Cox regression analysis was used to analyze the independent factors of MACE, and the optimal SDS cutoff value for predicting MACE was determined by receiver operating characteristic curve (ROC). Kaplan-Meier survival curves were plotted to compare the difference in the incidence of MACE between different SDS groups and different ΔLVEF groups. Results: A total of 164 patients with coronary artery disease [120 male; age (58.6±10.7) years] were included. The average follow-up time was (26.5±10.4) months, and a total of 30 MACE were recorded during follow-up. Multivariate Cox regression analysis showed that SDS (HR=1.069, 95%CI: 1.005-1.137, P=0.035) and ΔLVEF (HR=0.935, 95%CI: 0.878-0.995, P=0.034) were independent predictors of MACE. According to ROC curve analysis, the optimal cut-off to predict MACE was a SDS of 5.5 with an area under the curve of 0.63 (P=0.022). Survival analysis showed that the incidence of MACE was significantly higher in the SDS≥5.5 group than in the SDS<5.5 group (27.6% vs. 13.2%, P=0.019), but the incidence of MACE was significantly lower in the ΔLVEF≥0 group than in theΔLVEF<0 group (11.0% vs. 25.6%, P=0.022). Conclusions: LVEF reserve (ΔLVEF) assessed by SPECT G-MPI serves as an independent protective factor for MACE, while SDS is an independent risk predictor in patients with coronary artery disease. SPECT G-MPI is valuable for risk stratification by assessing myocardial ischemia and LVEF.
Humans ; Male ; Middle Aged ; Aged ; Coronary Artery Disease/diagnostic imaging* ; Stroke Volume ; Myocardial Perfusion Imaging ; Retrospective Studies ; Ventricular Function, Left ; Myocardial Ischemia

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

BACKGROUND: Right ventricular (RV)-arterial uncoupling is a powerful independent predictor of prognosis in heart failure with preserved ejection fraction (HFpEF). Coronary artery disease (CAD) can contribute to the pathophysiological characteristics of HFpEF. This study aimed to evaluate the prognostic value of RV-arterial uncoupling in acute HFpEF patients with CAD. METHODS: This prospective study included 250 consecutive acute HFpEF patients with CAD. Patients were divided into RV-arterial uncoupling and coupling groups by the optimal cutoff value, based on a receiver operating characteristic curve of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP). The primary endpoint was a composite of all-cause death, recurrent ischemic events, and HF hospitalizations. RESULTS: TAPSE/PASP ≤0.43 provided good accuracy in identifying patients with RV-arterial uncoupling (area under the curve, 0.731; sensitivity, 61.4%; and specificity, 76.6%). Of the 250 patients, 150 and 100 patients could be grouped into the RV-arterial coupling (TAPSE/PASP >0.43) and uncoupling (TAPSE/PASP ≤0.43) groups, respectively. Revascularization strategies were slightly different between groups; the RV-arterial uncoupling group had a lower rate of complete revascularization (37.0% [37/100] vs . 52.7% [79/150], P <0.001) and a higher rate of no revascularization (18.0% [18/100] vs . 4.7% [7/150], P <0.001) compared to the RV-arterial coupling group. The cohort with TAPSE/PASP ≤0.43 had a significantly worse prognosis than the cohort with TAPSE/PASP >0.43. Multivariate Cox analysis showed TAPSE/PASP ≤0.43 as an independent associated factor for the primary endpoint, all-cause death, and recurrent HF hospitalization (hazard ratios [HR]: 2.21, 95% confidence interval [CI]: 1.44-3.39, P <0.001; HR: 3.32, 95% CI: 1.30-8.47, P = 0.012; and HR: 1.93, 95% CI: 1.10-3.37, P = 0.021, respectively), but not for recurrent ischemic events (HR: 1.48, 95% CI: 0.75-2.90, P = 0.257). CONCLUSION RV-arterial uncoupling, based on TAPSE/PASP, is independently associated with adverse outcomes in acute HFpEF patients with CAD.
Humans ; Prognosis ; Prospective Studies ; Stroke Volume/physiology* ; Echocardiography, Doppler/adverse effects* ; Coronary Artery Disease/complications* ; Heart Failure ; Pulmonary Artery/diagnostic imaging* ; Ventricular Function, Right/physiology* ; Ventricular Dysfunction, Right

Humans ; China ; Consensus ; Coronary Artery Disease/diagnostic imaging*

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*