Coronary Stenosis In Patients Research Articles

Accurate diagnosis of severe coronary stenosis based on resting magnetocardiography: a prospective, single-center, cross-sectional analysis.

To evaluate the role of resting magnetocardiography in identifying severe coronary artery stenosis in patients with suspected coronary artery disease. A total of 513 patients with angina symptoms were included and divided into two groups based on the extent of coronary artery disease determined by angiography: the non-severe coronary stenosis group (< 70% stenosis) and the severe coronary stenosis group (≥ 70% stenosis). The diagnostic model was constructed using magnetic field map (MFM) parameters, either individually or in combination with clinical indicators. The performance of the models was evaluated using receiver operating characteristic curves, accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Calibration plots and decision curve analysis were performed to investigate the clinical utility and performance of the models, respectively. In the severe coronary stenosis group, QR_MCTDd, S_MDp, and TT_MAC50 were significantly higher than those in the non-severe coronary stenosis group (10.46 ± 10.66 vs. 5.11 ± 6.07, P < 0.001; 7.2 ± 8.64 vs. 4.68 ± 6.95, P = 0.003; 0.32 ± 57.29 vs. 0.26 ± 57.29, P < 0.001). While, QR_MVamp, R_MA, and T_MA in the severe coronary stenosis group were lower (0.23 ± 0.16 vs. 0.28 ± 0.16, P < 0.001; 55.06 ± 48.68 vs. 59.24 ± 53.01, P < 0.001; 51.67 ± 39.32 vs. 60.45 ± 51.33, P < 0.001). Seven MFM parameters were integrated into the model, resulting in an area under the curve of 0.810 (95% CI: 0.765-0.855). The sensitivity, specificity, PPV, NPV, and accuracy were 71.7%, 80.4%, 93.3%, 42.8%, and 73.5%; respectively. The combined model exhibited an area under the curve of 0.845 (95% CI: 0.798-0.892). The sensitivity, specificity, PPV, NPV, and accuracy were 84.3%, 73.8%, 92.6%, 54.6%, and 82.1%; respectively. Calibration curves demonstrated excellent agreement between the nomogram prediction and actual observation. The decision curve analysis showed that the combined model provided greater net benefit compared to the magnetocardiography model. The novel quantitative MFM parameters, whether used individually or in combination with clinical indicators, have been shown to effectively predict the risk of severe coronary stenosis in patients presenting with angina-like symptoms. Magnetocardiography, an emerging non-invasive diagnostic tool, warrants further exploration for its potential in diagnosing coronary heart disease.

Relationship between TyG index and the degree of coronary artery lesions in patients with H-type hypertension

BackgroundThe TyG index, a prominent metric for assessing insulin resistance, has gained traction as a prognostic tool for cardiovascular disease. Nevertheless, the understanding of the prognostic significance of the extent of coronary artery stenosis in individuals afflicted with H-type hypertension remains limited.MethodsA retrospective study was conducted at Wuhan Third Hospital, including a cohort of 320 inpatients who were diagnosed with hypertension in combination with coronary artery disease. The study period spanned from January 1, 2021, to February 1, 2023. The study cohort was stratified based on the severity of stenosis into three distinct groups: low stenosis, medium stenosis, and high stenosis, as determined by the Gensini score derived from coronary angiography findings. The present study aimed to investigate the association between the severity of coronary stenosis and the number of lesion branches, utilizing the TyG index as a testing indicator. The predictive ability of TyG for coronary lesion severity was assessed using logistic regression analysis.ResultsThe results of our study indicate a positive correlation between elevated levels of TyG and an increased susceptibility to severe stenosis in individuals diagnosed with H-type hypertension. Upon careful consideration of potential confounding variables, it has been observed that the TyG index exhibits a robust association with the likelihood of severe stenosis in individuals with H-type hypertension (odds ratio [OR] = 4000, 95% confidence interval CI 2.411–6.635, p = 0.0001), as well as the prevalence of multivessel disease (OR = 1.862, 95% CI 1.036–3.348, p < 0.0001). The TyG index demonstrated superior predictive ability for severe coronary stenosis in patients with H-type hypertension compared to those without H-type hypertension (area under the curve [AUC] = 0.888, 95% confidence interval CI 0.838–0.939, p < 0.0001, versus AUC = 0.615, 95% CI 0.494–0.737, p < 0.05).ConclusionThe TyG index is an independent risk factor for the degree of coronary stenosis and a better predictor in patients with H-type hypertension combined with coronary artery disease.

Computed tomography perfusion or fractional flow reserve–computed tomography to assess the significance of stenosis: Literature review

Abstract Detection of myocardial ischemia based on detection and grading of myocardial perfusion is a cornerstone of coronary artery disease (CAD) diagnosis. Coronary CT angiography (CCTA) is a recognized imaging test for exclusion of anatomically significant coronary stenosis in patients with low or moderate probability of CAD, but gives no information on its physiological significance. The two major approaches to evaluate the presence of induced myocardial ischemia using CT, static or dynamic perfusion CT (CTP) or non-invasive fractional flow reserve analysis (FFRCT), have been validated in multiple single- and multi-center studies with comparable results of high sensitivity, specificity and accuracy. Several studies with head-to-head comparison of CTP and FFRCT using invasive FFR measurement as a reference standard showed a slight superiority of CTP, especially in groups of patients with the borderline values of FFR-CT. The principle of myocardial perfusion assessment with CTP looks more physiological than computation models used in FFR-CT. However, the best results were shown by combined use of CCTA, CTP and FFRCT, providing the integrated anatomical and physiological information. Technical advances in CT technique, artificial intelligence and machine learning, together with accumulation of new clinical evidence, will result in development of the best strategy for comprehensive assessment of both coronary anatomy and myocardial perfusion with help of cardiac CT.

Clinical predictive factors of coronary stenosis in patients with high‑risk valvular heart disease who received diagnostic coronary angiography prior to cardiac valve surgery.

Valvular heart disease (VHD) may lead to morbidities and mortality due to heart failure or sudden death. Concomitant coronary artery disease (CAD) is a crucial condition that needs to be explored in patients with VHD prior to cardiac valve surgery as it may increase morbidity and mortality. Patient age >40 years and mitral regurgitation are key risk factors for CAD in patients with VHD. The present study aimed to identify clinical risk factors for coronary stenosis in patients with high-risk VHD. The retrospective cohort study recruited patients aged >40 years who received cardiac valve surgery and coronary angiogram prior to cardiac valve surgery. Clinical factors predictive of coronary stenosis were computed by logistic regression analysis. There were 533 patients; 114 patients (21.38%) had coronary stenosis. Four factors were positively associated with coronary stenosis including age, male sex, mitral regurgitation and hypertension, while two factors were negatively associated with coronary stenosis, namely estimated glomerular filtration rate and rheumatic heart disease. Hypertension had the highest adjusted odds ratio at 2.596, while rheumatic heart disease had the lowest adjusted odds ratio at 0.428. Patient age >55 years showed a sensitivity and specificity of coronary stenosis of 80.70 and 37.47%, respectively. Clinical factors predictive of coronary stenosis in patients with high-risk VHD were age >55 years, male sex, mitral regurgitation and hypertension, while a high estimated glomerular filtration rate and presence of rheumatic heart disease were protective factors.

Introducing the original web score calculator GARDENIA risk score for severe coronary artery (re)stenosis

Abstract Background/Introduction There are a large number of scores that are used for cardiovascular risk assessment and different online calculators are used to perform it. Risk prediction models provide risk estimates that can assist our decision making and improve guiding for individual clinical outcomes and personalized preventive care. Purpose GARDENIA score is designed to predict highly suspicious probability of significant coronary stenosis in patients without proven CAD or those who have already been revascularized. Methods GAR²DE²NIA is an acronym that incorporates following parameters : Gender, Age, Renal impairment, Respiratory disease, Diabetes Melittus, Echo abnormalities, ECG abnormalities, New symptoms, Ischaemia, Atrial fibrillation. The pointing scale was formed (-1 to 2) on the personal interpretation of evidence based data and is applied and designed as web calculator. The established cut-off values for the risk of significant coronary stenosis is 4. For values below 4, the probability of significant CAD is low, below 0 is very low, equal or greater than 4 significant CAD is high and above 8 is very high. Results Standard statistical formulas for sensitivity, specificity, PPN and NPV were used ( sensitivity 91,43%, specificity 73,33%, PPV 88,89, NPV 78,57). Estimated pilot sample size of 100 patients, was tested on patients cohort treated at the Institute for Cardiovascular Disease Dedinje in the year of 2022. Conclusion This original score is to be checked throughout everyday clinical practice. It is easy to use. It can help in decision making in risk stratification and further treatment of the patients who has never been to cardiologist before, those who has already been revascularized and are symptomatic again or need any kind of non cardiac surgery and the patients we have doubts about what to do next.GARDENIA score calculator

Energy loss is related to CT fractional flow reserve progression in type 2 diabetes mellitus patients

BackgroundWe aimed to investigate the diagnostic value of energy loss (EL) and baseline CT fractional flow reserve (CT-FFR) computed using computational fluid dynamics to predict functional progression of coronary stenosis in patients with type 2 diabetes mellitus. MethodsThis single-center prospective study included 61 patients with type 2 diabetes mellitus (mean age, 61 years ±9 [SD]; 43 men) showing 20–70 % stenosis who underwent serial coronary CT performed at 2-year interval between October 2015 and March 2020. A mesh-free simulation was performed to calculate the CT-FFR and EL. Functional progression was defined as ≥ 0.05 decrease in CT-FFR on the second coronary CT. Models using baseline CT-FFR and EL were compared by analyzing the receiver operating characteristic (ROC) curve. ResultsOf the 94 vessels evaluated, 25 vessels (27 %) showed functional progression. EL at distal stenosis (ELdis) of vessels with functional progression was higher than that of vessels without functional progression (27.6 W/m3 [interquartile range (IQR): 15.0, 53.0] vs. 5.7 W/m3 [IQR: 2.3, 10.1], p < 0.001). Multivariable analysis showed that ELdis (per unit Ln(EL); odds ratio, 11.8; 95 % CI: 4.0–34.9; p < 0.001) remained as a predictor of functional progression after adjustment for diameter stenosis and baseline CT-FFR. The area under the ROC curve using ELdis (0.89; 95 % CI: 0.82–0.96) was higher than that using baseline CT-FFR (0.71; 95 % CI: 0.59–0.83; p < 0.001). ConclusionWhen ELdis and baseline CT-FFR were considered, ELdis was a better predictor of functional progression of coronary stenosis.

Serum‑derived exosomal hsa‑let‑7b‑5p as a biomarker for predicting the severity of coronary stenosis in patients with coronary heart disease and hyperglycemia.

Exosomal microRNAs (miRNAs/miRs) are potential biomarkers for the diagnosis and treatment of cardiovascular disease, and hyperglycemia serves an important role in the development of atherosclerosis. The present study aimed to investigate the expression profile of serum‑derived exosomal miRNAs in coronary heart disease (CHD) with hyperglycemia, and to identify effective biomarkers for predicting coronary artery lesions. Serum samples were collected from eight patients with CHD and hyperglycemia and eight patients with CHD and normoglycemia, exosomes were isolated and differentially expressed miRNAs (DEMIs) were filtered using a human miRNA microarray. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using standard enrichment computational methods for the target genes of DEMIs. Receiver operating characteristic (ROC) curve analysis was applied to evaluate the values of the selected DEMIs in predicting the severity of coronary stenosis. A total of 10 DEMIs, including four upregulated miRNAs (hsa‑let‑7b‑5p, hsa‑miR‑4313, hsa‑miR‑4665‑3p and hsa‑miR‑940) and six downregulated miRNAs (hsa‑miR‑4459, hsa‑miR‑4687‑3p, hsa‑miR‑6087, hsa‑miR‑6089, hsa‑miR‑6740‑5p and hsa‑miR‑6800‑5p), were screened in patients with CHD and hyperglycemia. GO analysis showed that the 'cellular process', 'single‑organism process' and 'biological regulation' were significantly enriched. KEGG pathway analysis revealed that the 'mTOR signaling pathway', 'FoxO signaling pathway' and 'neurotrophin signaling pathway' were significantly enriched. Among these DEMIs, only hsa‑let‑7b‑5p expression was positively correlated with both hemoglobin A1C levels and Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score. ROC curves showed that hsa‑let‑7b‑5p could serve as an effective biomarker for differentiating the severity of coronary stenosis. In conclusion, the present study demonstrated that serum‑derived exosomal hsa‑let‑7b‑5p is upregulated in patients with CHD and hyperglycemia, and may serve as a noninvasive biomarker for the severity of coronary stenosis.

Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis.

Coronary artery stenosis occurs frequently in patients with carotid artery stenosis. We developed a clinical predictive model to investigate the clinical risk of asymptomatic obstructive coronary artery stenosis in patients with carotid artery stenosis ≥ 50%. From January 2018 to January 2022, carotid stenosis patients hospitalized at the First Affiliated Hospital of Zhengzhou University's Department of Endovascular Surgery were subjected to a retrospective analysis of their clinical information and imaging results. Excluded criteria were patients with lacking data, symptomatic coronary stenosis, prior coronary artery bypass grafting, and coronary stent implantation. Patients were separated into case and control groups according to whether or not they had obstructive coronary stenosis. Independent predictors were screened using univariate and multivariate logistic regression, and their accuracy was confirmed using least absolute shrinkage and selection operator (LASSO) regression. A Nomogram prediction model was developed using the aforementioned filtered factors. The model's discrimination and specificity were evaluated using the receiver operating characteristic curve (ROC) and Hosmer-Lemeshow goodness-of-fit test. Internal validation employed the Bootstrap procedure. The clinical decision curve analysis (DCA) of the prediction model was developed to assess the clinical applicability of the model. The investigation included a total of 227 patients, of whom 132 (58.1%) had coronary artery stenosis. Hypertension, Grade I plaque, HbA1c ≥ 7.0%, MPV ≥ 9.2fl, and Fib ≥ 3.0 g/L were independent predictors, with OR values of (2.506, 0.219, 0.457, 1.876, 2.005), according to multivariate logistic regression. Risk factor screening and validation using lasso regression. The predictors chosen based on the optimal λ value are consistent with the predictors identified by multiple regression. The area under the ROC curve (AUC) of the model based on the above predictors was 0.701 (0.633-0.770), indicating that the model discriminated well. The calibration curve of the model closely matched the actual curve, and P > 0.05 in the Hosmer-Lemeshow goodness-of-fit test indicated the model's accuracy. The results of the DCA curve demonstrate the clinical applicability of the prediction model. Hypertension, grade I plaque, HbA1c ≥ 7.0%, MPV ≥ 9.2 fl, and Fib ≥ 3.0 g/L are predictors of asymptomatic coronary stenosis in patients with carotid stenosis ≥50%. The diagnostic model is clinically applicable and useful for identifying patients at high risk.

Association of ambient PM10 and PM2.5 with coronary stenosis measured using selective coronary angiography

BackgroundLong-term ambient particulate matter (PM) exposure exerts detrimental effects on cardiovascular health. Evidence on the relation of chronically exposed ambient PM10 and PM2.5 with coronary stenosis remains lacking. Our aim was to investigate the association of PM10 and PM2.5 with coronary stenosis in patients undergoing coronary angiography. MethodsWe performed a retrospective cohort study consisting of 7513 individuals who underwent coronary angiography in Fujian Province, China, from January 2019 to December 2021. We calculated a modified Gensini score (GS) to represent the degree of stenosis in coronary arteries by selective coronary angiography. We fitted linear regressions and logistic models to assess the association of PM10 and PM2.5 with coronary stenosis. We employed restricted cubic splines to describe the exposure-response curves. We performed mediation analyses to assess the potential mediators. ResultsLong-term ambient PM10 and PM2.5 (prior three years average) exposure was significantly associated with the GS, with a breakpoint concentration of 47.5 μg/m3 and 25.8 μg/m3 for PM10 and PM2.5, respectively, above which we found a linear positive exposure-response relationship of ambient PM with GS. Each 10 µg /m3 increase in PM10 exposure (β: 4.81, 95 % CI: 0.44–9.19) and PM2.5 exposure [β: 10.50, 95 % CI: 3.14–17.86] were positively related to the GS. The adjusted odds ratio (OR) for each 10 µg/m3 increment in PM10 exposure on severe coronary stenosis was 1.33 (95 % CI: 1.04–1.76). Correspondingly, the adjusted OR for PM2.5 was 1.87 (95 % CI: 1.24–2.99). The mediation analysis indicated that the effect of PM10 on coronary stenosis may be partially mediated through total cholesterol, low-density lipoprotein cholesterol, apolipoprotein B, serum creatinine and blood urea nitrogen, and the effect of PM2.5 may be mediated in part by hemoglobin A1c. ConclusionOur study provides the first evidence that chronic ambient PM10 and PM2.5 exposure was associated with coronary stenosis assessed by GS in patients with suspected coronary artery disease and reveals its potential mediators.

Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes

BackgroundType 2 diabetes mellitus (T2DM) patients have a higher incidence of coronary artery disease than the general population. The aim of this study was to develop a radiomics nomogram of pericoronary adipose tissue (PCAT) based on non-contrast CT to predict haemodynamically significant coronary stenosis in T2DM patients.MethodsThe study enrolled 215 T2DM patients who underwent non-contrast CT and coronary computed tomography angiography (CCTA). CCTA derived fractional flow reserve (FFRCT) ≤ 0.80 was defined as hemodynamically significant stenosis.1691 radiomics features were extracted from PCAT on non-contrast CT. Minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to select useful radiomics features to construct Radscore. Logistic regression was applied to select significant factors among Radscore, fat attenuation index (FAI) and coronary artery calcium score (CACS) to construct radiomics nomogram.ResultsRadscore [odds ratio (OR) = 2.84; P < 0.001] and CACS (OR = 1.00; P = 0.023) were identified as independent predictors to construct the radiomics nomogram. The radiomics nomogram showed excellent performance [training cohort: area under the curve (AUC) = 0.81; 95% CI: 0.76–0.86; validation cohort: AUC = 0.83; 95%CI: 0.76–0.90] to predict haemodynamically significant coronary stenosis in patients with T2DM. Decision curve analysis demonstrated high clinical value of the radiomics nomogram.ConclusionThe non-contrast CT-based radiomics nomogram of PCAT could effectively predict haemodynamically significant coronary stenosis in patients with T2DM, which might be a potential noninvasive tool for screening of high-risk patients.

Diagnostic potential of myocardial early systolic lengthening for patients with suspected non-ST-segment elevation acute coronary syndrome

BackgroundDuring early systole, ischemic myocardium with reduced active force experiences early systolic lengthening (ESL). This study aimed to explore the diagnostic potential of myocardial ESL in suspected non-ST-segment elevation acute coronary syndrome (NSTE-ACS) patients with normal wall motion and left ventricular ejection fraction (LVEF).MethodsOverall, 195 suspected NSTE-ACS patients with normal wall motion and LVEF, who underwent speckle tracking echocardiography (STE) before coronary angiography, were included in this study. Patients were stratified into the coronary artery disease (CAD) group when there was ≥ 50% stenosis in at least one major coronary artery. The CAD patients were further stratified into the significant (≥ 70% reduction of vessel diameter) stenosis group or the nonsignificant stenosis group. Myocardial strain parameters, including global longitudinal strain (GLS), duration of early systolic lengthening (DESL), early systolic index (ESI), and post-systolic index (PSI), were analyzed using STE and compared between groups. Receiver operating characteristic curve (ROC) analysis was performed to determine the diagnostic accuracy. Logistic regression analysis was conducted to establish the independent and incremental determinants for the presence of significant coronary stenosis.ResultsThe DESL and ESI values were higher in patients with CAD than those without CAD. In addition, CAD patients with significant coronary stenosis had higher DESL and ESI than those without significant coronary stenosis. The ROC analysis revealed that ESI was superior to PSI for identifying patients with CAD, and further superior to GLS and PSI for predicting significant coronary stenosis. Moreover, ESI could independently and incrementally predict significant coronary stenosis in patients with CAD.ConclusionsThe myocardial ESI is of great value for the diagnosis and risk stratification of clinically suspected NSTE-ACS patients with normal LVEF and wall motion.

Brachial and central hypertension in relation to coronary stenosis in patients with coronary angiography.

The clinical significance of central beyond brachial blood pressure (BP) remains unclear. In patients who underwent coronary angiography, the authors explored whether elevated central BP would be associated with coronary arterial disease (CAD) irrespective of the status of brachial hypertension. From March 2021 to April 2022, 335 patients (mean age 64.9 years, 69.9% men) hospitalized for suspected CAD or unstable angina were screened in an ongoing trial. CAD was defined if a coronary stenosis of ≥50%. According to the presence of brachial (non-invasive cuff systolic BP ≥140mmHg or diastolic BP ≥90mmHg) and central (invasive systolic BP ≥130mmHg) hypertension, patients were cross-classified as isolated brachial hypertension (n=23), isolated central hypertension (n=93), and concordant normotension (n=100) or hypertension (n=119). In continuous analyses, both brachial and central systolic BPs were significantly related to CAD with similar standardized odds ratios (OR, 1.47 and 1.45, p<.05). While categorical analyses showed that patients with isolated central hypertension or concordant hypertension had a significantly higher prevalence of CAD and the Gensini score than those with concordant normotension. Multivariate-adjusted OR (95% confidence interval [CI]) for CAD was 2.24 (1.16 to 4.33, p=.009) for isolated central hypertension and 3.02 (1.58 to 5.78, p<.001) for concordant hypertension relative to concordant normotension. The corresponding OR (95% CI) of a high Gensini score was 2.40 (1.26-4.58) and 2.17 (1.19-3.96), respectively. In conclusion, regardless of the presence of brachial hypertension, elevated central BP was associated with the presence and severity of CAD, indicating that central hypertension is an important risk factor for coronary atherosclerosis.

Diagnostic performance of clinical likelihood models of obstructive coronary artery disease to predict myocardial perfusion defects.

Clinical likelihood (CL) models are designed based on a reference of coronary stenosis in patients with suspected obstructive coronary artery disease. However, a reference standard for myocardial perfusion defects (MPDs) could be more appropriate. We aimed to investigate the ability of the 2019 European Society of Cardiology pre-test probability (ESC-PTP), the risk-factor-weighted (RF-CL) model, and coronary artery calcium score-weighted (CACS-CL) model to diagnose MPDs. Symptomatic stable de novo chest pain patients (n = 3374) underwent coronary computed tomography angiography and subsequent myocardial perfusion imaging by single-photon emission computed tomography, positron emission tomography, or cardiac magnetic resonance. For all modalities, MPD was defined as coronary computed tomography angiography with suspected stenosis and stress-perfusion abnormality in ≥2 segments. The ESC-PTP was calculated based on age, sex, and symptom typicality, and the RF-CL and CACS-CL additionally included a number of risk factors and CACS. In total, 219/3374 (6.5%) patients had an MPD. Both the RF-CL and the CACS-CL classified substantially more patients to low CL (<5%) of obstructive coronary artery disease compared with the ESC-PTP (32.5 and 54.1 vs. 12.0%, P < 0.001) with preserved low prevalences of MPD (<2% for all models). Compared with the ESC-PTP [area under the receiver-operating characteristic curve (AUC) 0.74 (0.71-0.78)], the discrimination of having an MPD was higher for the CACS-CL model [AUC 0.88 (0.86-0.91), P < 0.001], while it was similar for the RF-CL model [AUC 0.73 (0.70-0.76), P = 0.32]. Compared with basic CL models, the RF-CL and CACS-CL models improve down classification of patients to a very low-risk group with a low prevalence of MPD.

The spectrum of angiography-derived IMR according to morphological and physiological coronary stenosis in patients with suspected myocardial ischemia.

Coronary microvascular dysfunction is crucial in determining myocardial ischemia; however, the relationship between epicardial coronary diameter stenosis (DS) and the index of microcirculatory resistance (IMR) remains unclear. We sought to explore the distribution of coronary angiography-derived IMR (angio-IMR) in patients with suspected myocardial ischemia. The study included 480 patients with suspected myocardial ischemia, all of whom underwent coronary angiography. According to the severity of coronary DS, patients were divided into three groups: mild (DS < 50%), intermediate (DS 50%-70%), and severe (DS > 70%). Angio-IMR and fractional flow reserve (FFR) were calculated based on coronary angiography images through the principle of computational flow and pressure simulation. Of the 480 patients, the mean age was 67.23 ± 9.44 years, with 55.4% male. There were 193 (40.2%) patients in the mild group, 189 (39.4%) patients in the intermediate group, and 98 (20.4%) patients in the severe group. The average angio-IMR of the mild group was 30.8 ± 14.9, which was significantly higher than those of the intermediate group (26.7 ± 13.0) and the severe group (17.9 ± 8.4) (p < .001). In the correlation analysis, angio-IMR was negatively correlated with DS (rho = -0.331, p = .001) and positively correlated with angio-FFR (rho = 0.483, p < .001). By multivariate logistic regression analysis, angio-FFR ≤ 0.8 (odds ratio, 0.184; 95% confidence interval, 0.106-0.321) was the only independent predictor of coronary microvascular dysfunction. In patients with suspected myocardial ischemia, coronary microcirculation is significantly associated with morphological and physiological coronary stenosis. (ClinicalTrials.gov:NCT05435898).

Gar²De²Nia Risk Score as a New Scoring for Severe Coronary Artery Restenosis and It’s Introducing as a Web Score CalculatorPilot Study

Objectives: Gar²De²Nia score is designed to predict highly suspicious probability of significant coronary stenosis in patients without proven CAD or those who have already been revascularized. Background: There are a large number of scores that are used for cardiovascular risk assessment and different online calculators are used to perform it. Risk prediction models provide risk estimates that can assist our decision making and improve guiding for individual clinical outcomes and personalized preventive care. Methodology: Gar²De²Nia is an acronym that incorporates following parameters: Gender, Age, Renal impairement, Respiratory disease, Diabetes Melittus, Echo abnormalities, ECG abnormalities, new symptoms, Ischaemia, Atrial fibrillation. The pointing scale was formed (-1 to 2) on the personal interpretation of evidence based data and is applied and designed as web calculator. The established cut-off values for the risk of significant coronary stenosis are 4. For values below 4, the probability of significant CAD is low, below 0 is very low, equal or greater than 4 significant CAD is high and above 8 is very high. https://www.gardenia.estavela.in.rs Results: Standard statistical formulas for sensitivity, specificity, PPN and NPV were used (sensitivity 91, 43%, specificity 73, 33%, PPV 88, 89, NPV 78, 57). Estimated pilot sample size of 100 patients, was tested on patients cohort treated at the Institute for Cardiovascular Disease Dedinje in the year of 2022. Conclusion: This original score is to be checked throughout everyday clinical practice. It is easy to use. It can help in decision making in risk stratification and further treatment of the patients who has never been to cardiologist before, those who has already been revascularized and are symptomatic again or need any kind of non-cardiac surgery and the patients we have doubts about what to do next.

Subtraction Improves the Accuracy of Coronary CT Angiography in Patients with Severe Calcifications in Identifying Moderate and Severe Stenosis: A Multicenter Study

To investigate the diagnostic accuracy of subtraction coronary computed tomographic angiography (CCTAsub) in identifying ≥ 50% and ≥ 70% coronary stenosis in patients with different degrees of calcification. In this study, 180 patients with coronary calcified plaques who underwent both coronary CT angiography and invasive coronary angiography (ICA) were prospectively enrolled at five centers. Patients were divided into three groups according to the Agatston score: group A (low to moderate, < 400), group B (high, 400-999), and group C (very high, ≥ 1000). Diagnostic accuracies estimated by area under the receiver operating characteristic curve (AUC) were compared between conventional CCTA (CCTAcon) and CCTAsub, with ICA as a reference standard. There were 86 patients in group A, 44 in group B, and 50 in group C. In identifying ≥ 70% coronary stenosis, subtraction improved the diagnostic accuracies on a per-segment basis in group B (AUC: 0.80 vs 0.92, p=0.001) and group C (AUC: 0.75 vs 0.84, p=0.001) after subtraction. When identifying ≥ 50% coronary stenosis, the per-segment AUC of CCTAsub in group B and C were significantly higher than that in CCTAcon (group B: 0.81 vs 0.92, p < 0.001; group C: 0.77 vs 0.88, p < 0.001). However, no improvement was observed in group A. Subtraction achieved better diagnostic accuracy in patients with Agatston score ≥ 400, both in identifying ≥ 50% and ≥ 70% coronary stenosis, which was instructive for the application of subtraction in clinical practice.

Pericoronary fat attenuation index is associated with plaque parameters and stenosis severity in patients with acute coronary syndrome: a cross-sectional study.

The pericoronary fat attenuation index (FAI) is a novel imaging biomarker of coronary inflammation, which is closely related to development and progression of coronary artery disease (CAD). However, there are limited reports on whether elevated pericoronary FAI values from coronary computed tomography angiography (CCTA) were associated with plaque parameters and coronary stenosis in patients with acute coronary syndrome (ACS). We aimed to assessed that FAI helps to identify high risk of CAD. The clinical diagnosis confirmed to the American Heart Association guidelines for ACS. The lesion-specific pericoronary FAI and plague parameters were measured using QAngioCT software. Using a Hounsfield unit (HU) of -70.1 as the threshold value, lesions with a lesion-specific pericoronary FAI value ≥-70.1 HU were allocated to the FAI-positive group and those with a FAI value <-70.1 HU were allocated to the FAI-negative group. The patients were divided into four stenosis groups according to the coronary angiography (CAG) results, and differences in the FAI values among the four groups were analyzed. A retrospective analysis of 127 ACS patients, including 299 lesions, who underwent CCTA and CAG successively was conducted. The prevalence of vulnerable plaques increased significantly in the FAI-positive group (49.35% vs. 23.87%, P<0.001). The area under the curve (AUC) of FAI in the diagnosis of vulnerable plagues was 0.810. Plaques were closer to the coronary ostium [3.32 (2.83, 4.29) vs. 4.17 (3.33, 4.95) cm, P<0.001] and more often located in the bifurcated segments of the vessels (50.65% vs. 32.43%, P=0.004) in the FAI-positive group than the FAI-negative group. The FAI-positive group also had a higher percentage of diameter stenosis than the FAI-negative group [80.00% (65.00%, 90.00%) vs. 60.00% (40.00%, 85.00%), P<0.001]. FAI values were higher in stenoses with a diameter ≥50% than stenoses with a diameter <50%. The FAI was identified as a novel imaging biomarker of coronary inflammation that is correlated with vulnerable plaque features and stenosis severity.

EE308 Budget Impact Analysis (BIA) of Medical Activity on Fractional Flow Reserve Measurement (FFR) for Functional Assessment of Epicardial Stenoses in Patients With Stable Coronary Heart Disease

FFR is the ratio of the amount of blood actually entering the myocardium relative to the maximum amount of blood that can enter it if there are no blood supply obstructions. The study’s objective was to evaluate BI of the implementation of the medical activity of measuring FFR, adopted as the gold standard for functional assessment of epicardial stenoses. The main FFR indication is an accurate functional assessment of a borderline coronary stenosis in patients with stable coronary heart disease.

Relationship between the neutrophil to high-density lipoprotein cholesterol ratio and severity of coronary artery disease in patients with stable coronary artery disease.

To evaluate the link between the neutrophil to HDL-C ratio (NHR) and the degree of coronary stenosis in patients with stable coronary artery disease (CAD). Totally 766 individuals who attended our clinic for coronary angiography between January 2019 and January 2021 were included in this study. The participants were divided into two groups, including the CAD group and control group. Spearman correlation analysis was used to investigate the association between NHR and Gensini score and logistic regression analysis was performed to determine the influence of NHR on CAD and severe CAD. Receiver operating characteristic (ROC) curve was constructed to analyze the predictive value of NHR for severe CAD. The CAD group had a substantially higher median NHR than the control group (3.7 vs. 3.2, P < 0.01). There was a positive correlation between NHR and Gensini score, as well as the frequency of coronary artery plaques. Logistic regression demonstrated that NHR was an independent contributor for CAD and severe CAD. In ROC analysis, the area under the ROC curve (AUC) for NHR was larger than that for neutrophil, HDL-C or LDL-C/HDL-C, and the differences were statistically significant (all P < 0.05). The NHR limit that offered the most accurate prediction of severe CAD according to the greatest possible value of the Youden index, was 3.88, with a sensitivity of 62.6% and a specificity of 66.2%. NHR was not only associated with the occurrence and seriousness of CAD, but also a better predictor of severe CAD than neutrophil, HDL-C or LDL-C/HDL-C.

Long-term outcomes of intermediate coronary stenosis in patients undergoing hemodialysis after deferred revascularization based on fractional flow reserve.

This study aimed to assess the long-term outcomes of patients undergoing hemodialysis (HD) after deferred revascularization based on fractional flow reserve (FFR). FFR is a practical technique for assessing the functional severity of intermediate coronary stenosis. Prior research has revealed a satisfactory outcome in patients after the deferral of percutaneous coronary intervention for coronary lesions based on FFR measurement. However, little research has been conducted focusing on patients undergoing HD. The retrospective study comprised 225 consecutive patients with FFR assessment and deferred revascularization between January 2016 and December 2019. Based on a deferral cutoff FFR value of >0.80, we assessed the differences in all-cause death, major adverse cardiac events (MACEs), and target vessel failure (TVF) between the HD (n = 69) and non-HD groups (n = 156) during a mean ± standard deviation routine follow-up of 32.2 ± 13.4 months. Although the HD group had significantly higher rates of diabetes mellitus than the non-HD group (53.6% vs. 37.2%, p = 0.021), there were no significant differences in sex, left ventricular ejection fraction, or other risk factors between the groups, nor with respect to stenosis diameter or mean FFR. The HD group had a significantly higher incidence of TVF than the non-HD group (34.8% vs. 14.1%, p < 0.001), as well as a significantly higher risk of all-cause death and MACEs. The study revealed that deferred revascularization in coronary lesions with an FFR value of >0.80 in patients undergoing HD was associated with poor outcomes. Therefore, it is important to carefully monitor patients with intermediate coronary stenosis undergoing HD.