Severity Of Coronary Artery Stenosis Research Articles

Tumor Resection and Coronary Artery Bypass Grafting for Right Ventricular Fibroma with Severe Calcification and Coronary Artery Stenosis

Tumor Resection and Coronary Artery Bypass Grafting for Right Ventricular Fibroma with Severe Calcification and Coronary Artery Stenosis

Murray law-based quantitative flow ratio for assessment of nonculprit lesions in patients with ST-segment elevation myocardial infarction.

Revascularization of nonculprit arteries in patients with ST-Segment Elevation Myocardial Infarction (STEMI) is now recommended based on several trials. However, the optimal therapeutic strategy of nonculprit lesions remains unknown. Murray law-based Quantitative Flow Ratio (μQFR) is a novel, non-invasive, vasodilator-free method for evaluating the functional severity of coronary artery stenosis, which has potential applications for nonculprit lesion assessment in STEMI patients. Patients with STEMI who received staged PCI before hospital discharge were enrolled retrospectively. μQFR analyses of nonculprit vessels were performed based on both acute and staged angiography. Eighty-one patients with 110 nonculprit arteries were included. The mean acute μQFR was 0.76 ± 0.18, and the mean staged μQFR was 0.75 ± 0.19. The average period between acute and staged evaluation was 8 days. There was a good correlation (r = 0.719, P < 0.001) between acute μQFR and staged μQFR. The classification agreement was 89.09%. The area under the receiver operator characteristic (ROC) curve for detecting staged μQFR ≤ 0.80 was 0.931. It is feasible to calculate the μQFR during the acute phase of STEMI patients. Acute μQFR and staged μQFR have a good correlation and agreement. The μQFR could be a valuable method for assessing functional significance of nonculprit arteries in STEMI patients.

Murray law-based quantitative flow ratio for assessment of nonculprit lesions in patients with ST-segment elevation myocardial infarction.

Revascularization of nonculprit arteries in patients with ST-Segment Elevation Myocardial Infarction (STEMI) is now recommended based on several trials. However, the optimal therapeutic strategy of nonculprit lesions remains unknown. Murray law-based Quantitative Flow Ratio (μQFR) is a novel, non-invasive, vasodilator-free method for evaluating the functional severity of coronary artery stenosis, which has potential applications for nonculprit lesion assessment in STEMI patients. Patients with STEMI who received staged PCI before hospital discharge were enrolled retrospectively. μQFR analyses of nonculprit vessels were performed based on both acute and staged angiography. Eighty-one patients with 110 nonculprit arteries were included. The mean acute μQFR was 0.76 ± 0.18, and the mean staged μQFR was 0.75 ± 0.19. The average period between acute and staged evaluation was 8 days. There was a good correlation (r = 0.719, P < 0.001) between acute μQFR and staged μQFR. The classification agreement was 89.09%. The area under the receiver operator characteristic (ROC) curve for detecting staged μQFR ≤ 0.80 was 0.931. It is feasible to calculate the μQFR during the acute phase of STEMI patients. Acute μQFR and staged μQFR have a good correlation and agreement. The μQFR could be a valuable method for assessing functional significance of nonculprit arteries in STEMI patients.

Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images

Coronary artery disease is the leading global cause of mortality and Fractional Flow Reserve (FFR) is widely regarded as the gold standard for assessing coronary artery stenosis severity. However, due to the limitations of invasive FFR measurements, there is a pressing need for a highly accurate virtual FFR calculation framework. Additionally, it’s essential to consider local haemodynamic factors such as time-averaged wall shear stress (TAWSS), which play a critical role in advancement of atherosclerosis. This study introduces an innovative FFR computation method that involves creating five patient-specific geometries from two-dimensional coronary angiography images and conducting numerical simulations using computational fluid dynamics with a three-element Windkessel model boundary condition at the outlet to predict haemodynamic distribution. Furthermore, four distinct boundary condition methodologies are applied to each geometry for comprehensive analysis. Several haemodynamic features, including velocity, pressure, TAWSS, and oscillatory shear index are investigated and compared for each case. Results show that models with average boundary conditions can predict FFR values accurately and observed errors between invasive FFR and virtual FFR are found to be less than 5%.

Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images

Coronary artery disease is the leading global cause of mortality and Fractional Flow Reserve (FFR) is widely regarded as the gold standard for assessing coronary artery stenosis severity. However, due to the limitations of invasive FFR measurements, there is a pressing need for a highly accurate virtual FFR calculation framework. Additionally, it’s essential to consider local haemodynamic factors such as time-averaged wall shear stress (TAWSS), which play a critical role in advancement of atherosclerosis. This study introduces an innovative FFR computation method that involves creating five patient-specific geometries from two-dimensional coronary angiography images and conducting numerical simulations using computational fluid dynamics with a three-element Windkessel model boundary condition at the outlet to predict haemodynamic distribution. Furthermore, four distinct boundary condition methodologies are applied to each geometry for comprehensive analysis. Several haemodynamic features, including velocity, pressure, TAWSS, and oscillatory shear index are investigated and compared for each case. Results show that models with average boundary conditions can predict FFR values accurately and observed errors between invasive FFR and virtual FFR are found to be less than 5%.

A meta-analysis supporting the superiority of staged carotid artery stenting and coronary artery bypass grafting in patients with concurrent severe coronary and carotid artery stenosis.

This study sought to ascertain whether a staged approach involving carotid artery stenting (CAS) and coronary artery bypass grafting (CABG) holds superiority over the synchronous (Syn) strategy of CAS or carotid endarterectomy (CEA) and CABG in patients necessitating combined revascularization for concurrent carotid and coronary artery disease. Studies were identified through 3 databases: PubMed, EMBASE, and the Cochrane Library. Statistical significance was defined as a P value of less than .05 for all analyses, conducted using STATA version 12.0. In the comparison between staged versus Syn CAS and CABG for patients with concomitant severe coronary and carotid stenosis, 4 studies were analyzed. The staged procedure was associated with a lower rate of 30-day stroke (OR = 8.329, 95% CI = 1.017-69.229, P = .048) compared to Syn CAS and CABG. In the comparison between staged CAS and CABG versus Syn CEA and CABG for patients with concomitant severe coronary and carotid stenosis, 5 studies were examined. The staged CAS and CABG procedure was associated with a lower rate of mortality (OR = 2.046, 95% CI = 1.304-3.210, P = .002) compared to Syn CEA and CABG. The Syn CAS and CABG was linked to a higher risk of peri-operative stroke compared to staged CAS and CABG. Additionally, patients undergoing staged CAS and CABG exhibited a significantly decreased risk of 30-day mortality compared to Syn CEA and CABG. Future randomized trials or prospective cohorts are essential to confirm and validate these findings.

Assessing the diagnostic value of left ventricular synchrony indices derived from phase analysis by D-SPECT in identifying obstructive coronary artery disease.

This study aimed to assess the diagnostic efficacy of left ventricular synchrony (LVS) for detecting coronary artery disease (CAD). We explored whether the LVS index derived from phase analysis of D-SPECT provides superior diagnostic value compared to conventional perfusion analysis in identifying obstructive CAD. Patients with suspected or confirmed CAD underwent drug-stress/rest gated D-SPECT myocardial perfusion imaging (MPI) and coronary angiography (CAG). A 50% stenosis was set as the threshold for obstructive CAD. 110 participants were enrolled in this analysis. There were significant differences in phase standard deviation (PSD), phase histogram bandwidth (PHB) and entropy among the four groups. Patients without cardiac disease and those with mild-moderate stenosis exhibited no noticeable contraction asynchrony. However, LVS indices demonstrated a gradual increase with the progression of coronary stenosis when compared to NC (P < 0.001). Obstructive CAD was identified in 43 out of 110 participants (39%). Optimal cutoff values for diagnosing obstructive CAD during stress were determined as 7.6° for PSD, 24° for PHB, and 37% for entropy, respectively. Notably, PSD, PHB, and entropy indices exhibited higher sensitivity compared to MPI. The integration of the stress-induced LVS indices into routine MPI analysis resulted in a significantly greater area under the curve (AUC), leading to improved diagnostic performance and enhanced differential capacity. Stress-induced LVS indices increase with the severity of coronary artery stenosis by D-SPECT phase analysis. Further, the indices-derived phase analysis exhibits superior sensitivity and discriminatory ability compared to MPI in detecting obstructive CAD.

The Relationship Between the Serum NLRP3 and Adiponectin Levels and Coronary Lesions in Patients with Unstable Angina with Type 2 Diabetes.

To investigate the Levels of Nucleotide-binding, leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) and Adiponectin (APN) and their relationship with the severity of coronary artery disease in patients with Unstable Angina (UA) and Type 2 Diabetes (T2D). Two hundred and thirty-one patients with UA were diagnosed by CAG in the Department of Cardiology of the Affiliated Hospital of Xuzhou Medical University from July 2022 to May 2023 were included, and 74 healthy subjects were included as the control group. The levels of NLRP3 and APN in each group were detected by ELISA and the Gensini score in each patient according to the results of CAG. The correlations between NLRP3, APN, and Gensini score were analyzed. According to whether complicated with T2D or not, we further analyze the effect of NLRP3 and APN levels of patients with UA and T2D on the severity of coronary artery stenosis. The levels of NLRP3 in UA with T2D group were the highest, followed by simple UA group, and the lowest in the control group, and the level of APN was the opposite. Spearman Correlation analysis showed that the level of NLRP3 was positively correlated with Gensini score (ρ1=0.688, P<0.05) and the level of APN was negatively associated with Gensini score (ρ2= -0.515, P<0.05). There was a negative correlation between NLRP3 and the level of APN (ρ3= -0.366, P<0.05). High NLRP3 and low APN levels are the risk factors for atherosclerosis. The NLRP3 and APN were abnormally expressed in patients with UA complicated with T2D. With the aggravation of atherosclerosis, the level of NLRP3 increased and the level of APN decreased.

Computed tomography coronary angiography assessment of left main coronary artery stenosis severity

BackgroundAngiographic assessment of left main coronary artery (LMCA) stenosis severity can be unreliable. In cases of ambiguity, intravascular ultrasound (IVUS) can be utilised with a minimal lumen area (MLA) of ≥6 ​mm2 an accepted threshold for safe deferral of revascularization. We sought to assess whether quantitative computer tomography coronary angiography (CTCA) measures could assist clinicians making LMCA revascularization decisions when compared with IVUS as gold standard. MethodsConsecutive patients undergoing IVUS assessment of angiographically intermediate LMCA stenosis were included. All patients had undergone 320-slice CTCA <90 days prior to IVUS imaging. Offline quantitative assessment of IVUS- and CT-derived measures were undertaken with the cohort divided into those with significant (s-LMCA) versus non-significant (ns-LMCA) disease using the accepted IVUS threshold. ResultsFifty-eight patients were included, with no difference in mean age (61.5 ​± ​12.2 vs. 59.7 ​± ​11.9 years, p ​= ​0.57), diabetic status (24.2% vs 16.0%, p ​= ​0.44) or other baseline demographics between groups. Patients with ns-LMCA had larger CT luminal area (8.64 ​± ​3.91 vs. 5.41 ​± ​1.54 ​mm2, p ​< ​0.001), larger minimal lumen diameter (MLD) (3.25 ​± ​0.74 vs. 2.56 ​± ​0.38 ​mm, p ​< ​0.001) and lower area stenosis (45.74 ​± ​18.10 vs. 60.93 ​± ​14.68%, p ​= ​0.001). There was a significant positive correlation between CTCA and IVUS MLA (r ​= ​0.68, p ​< ​0.001) and MLD (r ​= ​0.67, p ​< ​0.001). ROC analysis demonstrated CTCA MLA cut-off <8.29 ​mm2 provides the greatest negative predictive value and sensitivity in predicting the presence of significant LMCA disease. ConclusionCTCA derived MLA and MLD have a strong correlation with IVUS. A CTCA derived MLA cut-off <8.29 ​mm2 showed greatest clinical utility for predicting the need for further assessment, based on IVUS gold standard.

Association between the proportion of HDL-Cholesterol subclasses and the severity of coronary artery stenosis in patients with Acute Myocardial Infarction

Association between the proportion of HDL-Cholesterol subclasses and the severity of coronary artery stenosis in patients with Acute Myocardial Infarction

Predictive value of the neutrophil percentage-to-albumin ratio for coronary atherosclerosis severity in patients with CKD

BackgroundThe neutrophil percentage-to-albumin ratio (NPAR), which is defined as the percentage of neutrophils divided by the concentration of albumin, is a cost-effective and readily available biomarker of inflammation. This study aimed to evaluate the association between the NPAR and the severity of coronary atherosclerosis in patients with chronic kidney disease (CKD).MethodsA total of 280 CKD patients who underwent coronary angiography were retrospectively enrolled in this study. The severity of coronary atherosclerosis was evaluated using the Gensini score (GS). Patients were divided into low-, medium- and high-NPAR groups according to the tertiles of the NPAR values. Logistic regression analysis was conducted to analyze the relationship between the NPAR and the GS. The cutoff points for the sensitivity and specificity of the NPAR in predicting the GS were estimated via receiver operating characteristic (ROC) analysis.ResultsThere was a higher prevalence of coronary artery disease (CAD) among CKD patients with higher NPARs (P =0.041). More patients in the high-NPAR group had complex CAD (triple-vessel disease and/or left main coronary artery stenosis) and chronic total occlusion lesions, and more of these patients required revascularization therapy (P<0.05). Multivariate logistic regression analysis revealed a significant positive correlation between the NPAR and the severity of coronary stenosis (adjusted OR 2.68, 95% CI 1.25-5.76, p=0.012), particularly among female and older (age ≥65) patients. The ROC analysis indicated that the optimal cutoff value for the NPAR in predicting severe coronary artery stenosis (GS>60) in CKD patients was 1.91 (sensitivity 0.495, specificity 0.749), with an area under the curve (AUC) of 0.650 (95% CI 0.581-0.719, P<0.001). A subgroup analysis according to sex revealed that the NPAR exhibited stronger predictive value in female patients (AUC 0.730, 95% CI 0.643-0.817) than in male patients (AUC 0.565, 95% CI 0.460-0.670) (P<0.001), and the optimal cutoff value for the NPAR in female patients was 1.80 (sensitivity 0.667, specificity 0.705).ConclusionsOur study demonstrated that the NPAR is independently associated with the severity of coronary atherosclerosis in CKD patients, especially in female and elderly patients (≥65 years old). Moreover, the NPAR can effectively predict the severity of coronary atherosclerosis, exhibiting greater predictive value in females than in males.

Unveiling the Effects of Diabetes on Coronary Artery Disease Through Angiography

Background: Coronary artery disease (CAD) remains a leading cause of morbidity and mortality globally, particularly among patients with Type 2 Diabetes Mellitus (T2DM). Diabetic patients are at a higher risk of developing CAD due to factors such as poor glycemic control, lipid metabolism abnormalities, and endothelial dysfunction. Prior studies have demonstrated that diabetic patients tend to present with more extensive coronary artery involvement and worse outcomes following cardiovascular interventions. Objective: This study aimed to assess the impact of T2DM on coronary angiography outcomes, specifically focusing on the incidence of multi-vessel disease and the severity of coronary artery stenosis. Methods: This observational cohort study was conducted at Lady Reding Hospital, a tertiary care center specializing in cardiovascular diseases. Participants were recruited from the outpatient cardiology clinic between January 2020 and January 2022. Inclusion criteria included patients aged 40 to 80 years undergoing coronary angiography for the first time due to suspected CAD. Exclusion criteria were previous coronary artery interventions, congenital heart disease, active infections, and renal insufficiency (creatinine &gt; 2.0 mg/dL). Baseline characteristics such as age, gender, BMI, hypertension status, and smoking history were collected. Diabetes status was confirmed via HbA1c levels (≥6.5%). Coronary angiography was performed using standard techniques, with angiograms analyzed by two blinded cardiologists. Primary outcomes included the presence of multi-vessel disease (≥70% stenosis in two or more major coronary arteries) and the severity of stenosis (&gt;70% blockage). Additional assessments using Intravascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT) evaluated plaque characteristics and vessel sizes in a subset of patients. Statistical analysis was performed using SPSS version 25.0, employing Chi-square tests for categorical variables, independent t-tests for continuous variables, and multivariable logistic regression to adjust for confounders. Results: The study included 300 participants, with 150 diabetic and 150 non-diabetic patients. Diabetic patients had a mean age of 62.3 ± 10.4 years, while non-diabetic patients had a mean age of 58.2 ± 9.8 years. The prevalence of hypertension was higher among diabetic patients (60%) compared to non-diabetic patients (40%). The incidence of multi-vessel disease was significantly higher in diabetic patients (70%) compared to non-diabetic patients (50%) (p &lt; 0.05). Severe stenosis was observed in 65% of diabetic patients versus 45% of non-diabetic patients (p &lt; 0.01). IVUS and OCT analyses showed a higher prevalence of lipid-rich plaques in diabetic patients (55% vs. 30%) and a smaller mean luminal diameter (2.8 ± 0.6 mm vs. 3.4 ± 0.5 mm). Conclusion: Diabetes significantly impacts the severity and extent of coronary artery disease, with diabetic patients exhibiting higher rates of multi-vessel disease and severe stenosis. Advanced imaging techniques highlighted distinct plaque characteristics in diabetic patients, underscoring the need for aggressive and personalized management strategies. These findings emphasize the importance of integrating advanced imaging and comprehensive management to mitigate cardiovascular risks in diabetic patients.

44. The Relationship between P Wave and Corrected QT Dispersion with The Left Ventricular Ejection Fraction (LVEF) and The Severity of Coronary Artery Stenosis in Coronary Artery Disease: A Cross-sectional study

44. The Relationship between P Wave and Corrected QT Dispersion with The Left Ventricular Ejection Fraction (LVEF) and The Severity of Coronary Artery Stenosis in Coronary Artery Disease: A Cross-sectional study

Fully Automated Quantitative Coronary Angiography Versus Optical Coherence Tomography Guidance for Coronary Stent Implantation (FLASH): Study Protocol for a Randomized Controlled Non-Inferiority Trial

BackgroundArtificial intelligence-based quantitative coronary angiography (AI-QCA) has been developed to provide a more objective and reproducible data about the severity of coronary artery stenosis and the dimensions of the vessel for intervention in real-time, overcoming the limitations of significant inter- and intra-observer variability, and time-consuming nature of on-site QCA, without requiring extra time and effort. Compared with the subjective nature of visually estimated conventional CAG guidance, AI-QCA guidance provides a more practical and standardized angiography-based approach. Although the advantage of intravascular imaging-guided PCI is increasingly recognized, their broader adoption is limited by clinical and economic barriers in many catheterization laboratories. MethodsThe FLASH (Fully automated quantitative coronary angiography versus optical coherence tomography guidance for coronary stent implantation) trial is a randomized, investigator-initiated, multicenter, open-label, non-inferiority trial comparing the AI-QCA-assisted PCI strategy with optical coherence tomography-guided PCI strategy in patients with significant coronary artery disease. All operators will utilize a novel, standardized AI-QCA software and PCI protocol in the AI-QCA-assisted group. A total of 400 patients will be randomized to either group at a 1:1 ratio. The primary endpoint is the minimal stent area (mm2), determined by the final OCT run after completion of PCI. Clinical follow-up and cost-effectiveness evaluations are planned at 1 month and 6 months for all patients enrolled in the study. ResultsEnrollment of a total of 400 patients from the 13 participating centers in South Korea will be completed in February 2024. Follow-up of the last enrolled patients will be completed in August 2024, and primary results will be available by late 2024. ConclusionThe FLASH is the first clinical trial to evaluate the feasibility of AI-QCA-assisted PCI, and will provide the clinical evidence on AI-QCA assistance in the field of coronary intervention.

Coronary artery stenosis in Japanese people living with HIV-1 with or without haemophilia.

An extremely high prevalence (12.2%) of moderate-to-severe coronary artery stenosis (CAS) was documented in asymptomatic Japanese haemophiliacs living with HIV-1 (JHLH) in our previous study. The cause of this phenomenon remains unknown. We conducted the CAS screening in people living with HIV-1 without haemophilia (PLWH without haemophilia) to compare the prevalence of CAS in JHLH and PLWH without haemophilia and to identify the risk factors including inflammation markers. Ninety-seven age-matched male PLWH without haemophilia who consulted our outpatient clinic between June and July 2021 were randomly selected, and 69 patients who provided informed consent were screened for CAS using coronary computed tomography angiography (CCTA). The number of JHLH cases was 62 in this study. The prevalence of moderate (> 50%) to severe (> 75%) CAS was significantly higher in JHLH [14/57 (24.6%) vs. 6/69 (8.7%), p = 0.015], and the ratio of CAS requiring urgent interventions was significantly higher [7 (12.3%) vs. 1 (1.4%), p = 0.013] in JHLH than in PLWH without haemophilia. Among the inflammatory markers, serum titres of intercellular adhesion molecule-1 (p < 0.05) and interleukin-6 (p < 0.05) in JHLH were significantly higher than those in PLWH without haemophilia. Although some patient demographics were different in the age-matched study, it might be possible to speculate that intravascular inflammation might promote CAS in JHLH.

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.

Association of 25-hydroxyvitamin D, lipoprotein-associated phospholipase A2 and asymptomatic coronary artery disease in patients with type 2 diabetes mellitus

AimTo evaluate the relationship of 25-hydroxyvitamin D (25(OH)D), lipoprotein-associated phospholipase A2 (Lp-PLA2), and coronary artery disease (CAD) in type 2 diabetes mellitus (T2DM) patients with no history or symptoms of cardiovascular disease. MethodsThe study identified 66 pairs of T2DM patients with and without CAD using propensity score matching. All subjects performed coronary computed tomography angiography (CCTA). Data on 25(OH)D, Lp-PLA2, and metabolic indexes were collected and analyzed. ResultsCompared to the patients without CAD, the patients with CAD had lower 25(OH)D levels and the rate of vitamin D sufficiency, but higher Lp-PLA2 levels. Meanwhile, subjects in the vitamin D sufficiency group had a lower prevalence of CAD and Lp-PLA2 levels. Furthermore, 25(OH)D was inversely correlated with Lp-PLA2, Gensini score, Leiden score, segment involvement score, and segment stenosis score (P < 0.05). After adjusting for age, gender, blood lipids and blood pressure, 25(OH)D was associated with a decreased risk of CAD (aOR 0.933, 95 %CI 0.887–0.983, P = 0.009), while Lp-PLA2 was associated with an increased risk of CAD (aOR 1.014, 95 %CI 1.005–1.022, P = 0.002). ConclusionsDecreased 25(OH)D and increased Lp-PLA2 could identify patients with a high risk of CAD and are associated with the severity of coronary artery stenosis in T2DM.

Baseline coronary artery stenosis severity is an independent predictor of subsequent poor sleep quality in patients with acute coronary syndrome.

To investigate the relationship between coronary artery lesion severity determined using the baseline SYNTAX score and sleep problems that might occur after discharge determined using the Pittsburgh Sleep Quality Index (PSQI). This prospective study included patients with first acute coronary syndrome (ACS) who underwent percutaneous coronary angiography between February 2019 and August 2019. The severity of coronary artery stenosis was classified according to coronary angiography and SYNTAX scores. Patients were grouped as those with a SYNTAX score of ≤22 and >22. Sleep quality after discharge was classified according to the PSQI. PSQI ≤5 represented good sleep quality, and PSQI >5 represented poor sleep quality. Univariate and multivariate logistic regression was used to investigate the relationship between sleep quality and coronary artery stenosis severity. A total of 424 patients were included in the study. Of these, 294 (69.34%) had a SYNTAX score of ≤22 and 130 (30.66%) had a SYNTAX score of >22. The mean age of all patients was 60.37 ± 12.23 years, 59.69 ± 11.85 years in the SYNTAX ≤22 groups and 61.90 ± 12.98 years in the SYNTAX >22 group (P = 0.086). The majority (78.54%) of the patients were male and there was no significant difference between the SYNTAX ≤22 group and the SYNTAX >22 group in terms of sex distribution (P = 0.383). According to the univariate logistic regression analysis, age (P = 0.014), diabetes (P = 0.027), left ventricular ejection fraction (P = 0.001), estimated glomerular filtration rate (P = 0.039), creatine kinase MB (P = 0.040) and SYNTAX scores (P < 0.001) were significantly associated with high PSQI global scores (>5). However, according to the multivariate logistic regression analysis results, high (>22) SYNTAX scores were the only factor independently associated with the high (>5) PSQI global scores [odds ratio, 3.477; 95% confidence interval (CI), (2.190-5.522); P < 0.001]. Complete revascularization group had significantly higher sleep latency and sleep duration time, sleep efficiency and the percentage of patients with PSQI global score of ≤5 than the incomplete revascularization group (P < 0.001 for all). Among patients with ACS, those with high SYNTAX scores should be monitored more carefully for sleep disorders that may occur later.

The correlation between subendocardial viability ratio and the degree of coronary artery stenosis in patients with coronary heart disease and its predictive value for the incidence of short-term cardiovascular events.

This study aimed to analyze the ability of subendocardial viability ratio (SEVR) to predict the degree of coronary artery stenosis and the relationship between SEVR and the incidence of short-term cardiovascular endpoint events. The indexes of 243 patients with chest pain were collected.. Binary logistic regression analyses were performed using the dichotomous outcome of high and non-high SYNTAX scores. Receiver operating characteristic curves were employed to comparatively analyze the diagnostic efficiencies of the indices and models. A survival analysis combined with the Cox regression analysis was performed using the Kaplan-Meier method to understand the relationship between the SEVR and the incidence of cardiovascular events within 1 year in patients with coronary heart disease (CHD). SEVR was significantly lower (P < 0.05) in the high-stenosis group than control and low-stenosis groups. The diagnostic efficacy of SEVR [area under the curve (AUC) = 0.861] was better than those of age (AUC = 0.745), ABI (AUC = 0.739), and AIx@HR75 (AUC = 0.659). The cutoff SEVR was 1.105. In patients with confirmed CHD who had been discharged from the hospital for 1 year, only SEVR affected survival outcomes (hazard ratio = 0.010; 95% confidence interval: 0.001-0.418; P = 0.016). A significant decrease in SEVR predicted severe coronary artery stenosis, with a cutoff value of 1.105 and an accuracy of 0.861. In patients with CHD, the lower the SEVR, the higher was the rate of cardiovascular events at 1 year after hospital discharge.

Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity

Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition or those with contrast allergies and one that imposes a psychological burden on patients. Although abnormal serum N-glycan profiles have exhibited robust associations with various cardiovascular diseases, including CAD, their potential in diagnosing CAD stenosis remains to be determined. In this study, we performed a comprehensive analysis of serum N-glycome from 132 patients who underwent ICA and 27 healthy controls using MALDI-TOF-mass spectrometry. The patients who underwent ICA examination were categorized into four groups based on stenosis severity: no/mild/moderate/severe stenosis. Twenty-seven N-glycans were directly quantified, and 47 derived glycan traits were obtained. Notably, among these 74 glycan features, 18 exhibited variations across the study groups. Using a combination of least absolute shrinkage and selection operator and logistic regression analyses, we developed five diagnostic models for recognizing stenosis degree. Our results suggested that alterations in serum N-glycosylation modifications might be valuable for identifying stenosis degree and monitoring disease progression in individuals with CAD. It is expected to offer a noninvasive alternative for those who could not undergo ICA because of various reasons. However, the diagnostic potential of serum N-glycan panels as biomarkers requires multicenter, large cohort validation in the future.