Predictor Of Coronary Artery Disease Research Articles

Predictors of Coronary Artery Disease in Heart Failure with Reduced Ejection Fraction at the Aga Khan University Hospital in Nairobi.

This was a retrospective study at the Aga Khan University Hospital, Nairobi, which is equipped with diagnostic capabilities for heart failure and coronary artery assessment. We evaluated patients with HFrEF based on echocardiographic data over a 12-year period. Patients with coronary anatomical evaluation data were included. A multivariable model of CAD was generated using stepwise logistic regression. Of the 1329 patients screened, 514 met the inclusion criteria. The mean age was 61.0 ± 12.8 years. There were 381 male cases (75.2%), and the predominant race was African, numbering 386 (75.2%). Most patients, 97%, were evaluated through conventional coronary angiography. Further, 310 (60.3%) cases had significant CAD. The prevalence of CAD in HFrEF was 52.3% in Africans, 85% in Asians, and 79% in Caucasians. In the multivariable logistic regression, the odds of having significant CAD was higher among participants with diabetes mellitus (aOR: 1.86; 95%CI: 1.15-3.03), Q waves (aOR: 2.12; 95%CI: 1.12-4.10), significant ST segment deviation (aOR: 4.14; 95%CI: 2.23-8.03), and regional wall motion abnormalities on echocardiogram (aOR: 6.53; 95%CI: 3.94-11.06). In this population, CAD was a major etiology in HFrEF among the African population. The most powerful predictors of CAD were type 2 diabetes, the presence of pathological Q waves, or ST segment shift on a 12-lead electrocardiogram, and regional wall motion abnormality on 2D echocardiogram. There is an epidemiological transition in the cause of heart failure in sub-Saharan Africa (SSA) in keeping with the steady increase in cardiovascular risk factors for coronary artery disease (CAD).The prevalence of CAD in African patients with heart failure with reduced ejection fraction (HFrEF) was 52.3%.In the multivariable logistic regression, diabetic mellitus, pathological Q waves, significant ST segment deviation, and regional wall motion abnormalities were significantly associated with CAD.

Resting echocardiographic parameters can exclude significant coronary artery disease: A comparison with coronary computed tomography angiography.

Coronary computed tomography angiography (CCTA) is known to have a high negative predictive value (NPV) in identifying coronary artery disease (CAD). This study aimed to examine whether resting echocardiographic parameters could exclude significant CAD on CCTA. We recruited 142 patients who had undergone both CCTA and echocardiography within a 3-month window. Based on the CCTA findings, patients were divided into two groups: Group A (non-significant CAD, defined as all coronary segments having <50% stenosis) and Group B (significant CAD). Resting echocardiographic parameters were compared between the two groups to identify predictors of non-significant CAD on CCTA. A total 92 patients (mean age, 68±13years; males, 62%) were eligible for this study; 50 in Group A and 42 in Group B. Among the various echo parameters, left atrial volume index (LAVI) and left ventricular (LV) global longitudinal strain (GLS) were significantly lower in Group A (23.5±7.6 vs. 33.6±7.4mL/m2 , p<.001; -20.2±1.8% vs. -16.8±2.0%, p<.001, respectively). Analysis of the receiver operating characteristic curve revealed that the cutoff value to exclude significant CAD on CCTA was 29.0mL/m2 for LAVI (NPV 80.8%) and -18.1% for GLS (NPV 80.7%). The NPV increased to 95.0% when these parameters were combined (LAVI<29.0mL/m2 and GLS<-18.1%). The combination of resting LAVI and GLS was clinically useful in excluding significant CAD via CCTA.

Computed Tomography (CT) Calcium Scoring in Primary Prevention of Acute Coronary Syndrome and Future Cardiac Events in Patients With Systemic Lupus Erythematosus.

Systemic lupus erythematosus (SLE) is a complex and chronic autoimmune disease that impacts multiple organ systems and presents with varying symptomatology that makes targeting treatment extremely difficult. The cardiovascular system and more specifically the coronary arteries are heavily affected by SLE causing increased atherosclerosis and subsequently increased acute coronary syndrome (ACS) and increased future cardiac events. ACS is a common occurrence in patients with SLE due to the premature development of atherosclerosis due to the dysregulation of pro-inflammatory cytokines. Calcium scoring has been effectively utilized to identify plaque burden in patients with coronary artery calcification (CAC). Calcium scoring is a score obtained from a computed tomography (CT) image using non-contrast imaging, which provides quantitative information regarding CAC and aids in assessing cardiovascular risk. A calcium score of zero Hounsfeild unitscan be obtained using CT calcium scoring which indicates no calcium is identified in the coronary arteries and is a strong negative risk predictor for coronary artery disease. Early screening of SLE patients with CT calcium scoring could aid in early detection and treatment subsequently leading to delay of premature coronary atherosclerosis and future cardiac events in this patient population. Multiple studies have used calcium scoring as a method to measure arterial calcification in SLE patients. The Society of Cardiovascular Imaging has now endorsed the idea of obtaining a baseline calcium artery score with a repeat progression scan in 3-5 years. Calcium scoring has also been identified as an effective initial tool for stratification and identification of possible ACS. The various advantages of early calcium scoring signify the further research needed to fully understand and implement the advantages calcium scoring has to offer patients with SLE.

Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography

ObjectivesCoronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone.MethodsA total of 2315 patients (858 women, 37%) aged 61.1 ± 10.2 from 29 original studies were included to build two CAD prediction models based on either CCTA alone or CCTA combined with the CAC score. CAD was defined as at least 50% coronary diameter stenosis on invasive coronary angiography. Models were built by using generalized linear mixed-effects models with a random intercept set for the original study. The two CAD prediction models were compared by the likelihood ratio test, while their diagnostic performance was compared using the area under the receiver-operating-characteristic curve (AUC). Net benefit (benefit of true positive versus harm of false positive) was assessed by decision curve analysis.ResultsCAD prevalence was 43.5% (1007/2315). Combining CCTA with CAC improved CAD diagnosis compared with CCTA alone (AUC: 87% [95% CI: 86 to 89%] vs. 80% [95% CI: 78 to 82%]; p < 0.001), likelihood ratio test 236.3, df: 1, p < 0.001, showing a higher net benefit across almost all threshold probabilities.ConclusionAdding the CAC score to CCTA findings in patients with stable chest pain improves the diagnostic performance in detecting CAD and the net benefit compared with CCTA alone.Clinical relevance statementCAC scoring CT performed before coronary CTA and included in the diagnostic model can improve obstructive CAD diagnosis, especially when CCTA is non-diagnostic.Key Points• The combination of coronary artery calcium with coronary computed tomography angiography showed significantly higher AUC (87%, 95% confidence interval [CI]: 86 to 89%) for diagnosis of coronary artery disease compared to coronary computed tomography angiography alone (80%, 95% CI: 78 to 82%, p < 0.001).• Diagnostic improvement was mostly seen in patients with non-diagnostic C.• The improvement in diagnostic performance and the net benefit was consistent across age groups, chest pain types, and genders.

Stress-only versus rest-stress SPECT MPI in the detection and diagnosis of myocardial ischemia and infarction by machine learning.

Rest-stress SPECT myocardial perfusion imaging (MPI) is widely used to evaluate coronary artery disease (CAD). We aim to evaluate stress-only versus rest-stress MPI in diagnosing CAD by machine learning (ML). A total of 276 patients with suspected CAD were randomly divided into training (184 patients) and validation (92 patients) cohorts. Variables extracted from clinical, physiological, and rest-stress SPECT MPI were screened. Stress-only and rest-stress MPI using ML were established and compared using the training cohort. Then the diagnostic performance of two models in diagnosing myocardial ischemia and infarction was evaluated in the validation cohort. Six ML models based on stress-only MPI selected summed stress score, summed wall thickness score of stress%, and end-diastolic volume of stress as key variables and performed equally good as rest-stress MPI in detecting CAD [area under the curve (AUC): 0.863 versus 0.877, P = 0.519]. Furthermore, stress-only MPI showed a reasonable prediction of reversible deficit, as shown by rest-stress MPI (AUC: 0.861). Subsequently, nomogram models using the above-stated stress-only MPI variables showed a good prediction of CAD and reversible perfusion deficit in training and validation cohorts. Stress-only MPI demonstrated similar diagnostic performance compared with rest-stress MPI using 6 ML algorithms. Stress-only MPI with ML models can diagnose CAD and predict ischemia from scar.

Which Biomarker(s) Augment the Diagnostic Value of the Positive Exercise Electrocardiography Test: Systemic Inflammatory Index, Plasma Atherogenic Index, or Monocyte/HDL-C Ratio?

The exercise electrocardiography test (EET) is still used before coronary angiography in the diagnosis of chronic coronary syndromes. This study aimed to demonstrate the value of the combination of a positive EET with the systemic inflammatory index (SII), the plasma atherogenic index (PAI), and the monocyte/HDL-C ratio (MHR) in the determination of obstructive coronary artery disease (CAD). This single-center, retrospective study included 540 patients who underwent coronary angiography after ETT. The patients were separated into Group 1, comprising 434 patients with normal coronary arteries and non-obstructive CAD, and Group 2, including 106 with obstructive CAD. In Group 2, the patients were separated into SYNTAX ≤ 22 or ≥23. Glucose, low-density lipoprotein, white blood cells, and MHR were determined to be significantly higher in Group 2 (p < 0.05). According to the multivariate logistic regression analysis, age, gender, diabetes mellitus, and low-density lipoprotein were determined to be independent predictors of CAD. In the ROC curve analysis, a cut-off value of 12 for the MHR in the determination of obstructive CAD had a sensitivity of 60.4% and a specificity of 53.0%. The main result of this study was that a high MHR is an indicator of obstructive CAD in patients with positive EET and suspected CAD.

Ankle-brachial Index as Predictor of Coronary Artery Disease in Diabetic Patients

Introduction: In India, the incidence of coronary artery disease (CAD) has doubled, and the association between diabetes mellitus, peripheral arterial disease, and CAD remains unclear. This study aimed to explore the relationship between ankle-brachial index (ABI) and CAD in diabetic patients, using the ABI as a diagnostic tool for peripheral arterial disease. Materials and Methods: A cross-sectional study at a tertiary care center analyzed 100 diabetes cases for CAD using angina history, past treatment, electrocardiography, and two-dimensional echocardiography. Blood pressure was measured in all limbs, and ABI was calculated by dividing ankle pressure by brachial pressure, selecting the lower ratio. Results: Out of 100 patients, 28 had ABI &lt;0.9 and 72 had ABI ≥0.9. The majority of both groups were male. The highest percentage in both groups was aged 51–60. The ABI +VE group had higher proportions of hypertension, smokers, and dyslipidemia. The majority in the ABI −VE group were nonsmokers and without dyslipidemia. Both groups had a majority with body mass index ≥25 kg/m2. Mean diabetes duration was higher in the ABI +VE group, while mean glycated hemoglobin levels were higher in the ABI −VE group. Conclusion: In our study, the prevalence of ABI +VE patients was 28% and prevalence of CAD in this group was 42.85%, which is statistically significant. Hypertension, smoking, dyslipidemia, diabetes duration, and glycemic control were significantly associated with low ABI index (ABI &lt;0.9).

Integrated myocardial flow reserve (iMFR) assessment: optimized PET blood flow quantification for diagnosis of coronary artery disease.

Distinguishing obstructive epicardial coronary artery disease (CAD) from microvascular dysfunction and diffuse atherosclerosis would be of immense benefit clinically. However, quantitative measures of absolute myocardial blood flow (MBF) integrate the effects of focal epicardial stenosis, diffuse atherosclerosis, and microvascular dysfunction. In this study, MFR and relative perfusion quantification were combined to create integrated MFR (iMFR) which was evaluated using data from a large clinical registry and an international multi-center trial and validated against invasive coronary angiography (ICA). This study included 1,044 clinical patients referred for 82Rb rest/stress positron emission tomography myocardial perfusion imaging and ICA, along with 231 patients from the Flurpiridaz 301 trial (clinicaltrials.gov NCT01347710). MFR and relative perfusion quantification were combined to create an iMFR map. The incremental value of iMFR was evaluated for diagnosis of obstructive stenosis, adjusted for patient demographics and pre-test probability of CAD. Models for high-risk anatomy (left main or three-vessel disease) were also constructed. iMFR parameters of focally impaired perfusion resulted in best fitting diagnostic models. Receiver-operating characteristic analysis showed a slight improvement compared to standard quantitative perfusion approaches (AUC 0.824 vs. 0.809). Focally impaired perfusion was also associated with high-risk CAD anatomy (OR 1.40 for extent, and OR 2.40 for decreasing mean MFR). Diffusely impaired perfusion was associated with lower likelihood of obstructive CAD, and, in the absence of transient ischemic dilation (TID), with lower likelihood of high-risk CAD anatomy. Focally impaired perfusion extent derived from iMFR assessment is a powerful incremental predictor of obstructive CAD while diffusely impaired perfusion extent can help rule out obstructive and high-risk CAD in the absence of TID.

Non-invasive assessment of steatohepatitis indicates increased risk of coronary artery disease.

Fatty liver diseases (FLD), especially defined as metabolic dysfunction-associated FLD (MAFLD), is of growing importance for patients and health-care providers. Extrahepatic comorbidities, predominantly coronary artery disease (CAD), contribute to excess morbidity and mortality in FLD. Although the association of FLD and CAD is well known, underlying pathophysiological links are not fully understood. Non-invasive means of liver diagnostic enable a fast and thorough characterization of FLD. We therefore assessed the severity of FLD in a cohort of patients at risk of CAD. Patients scheduled for coronary angiography were characterized by anthropometry, serum-based indices of liver fibrosis (NFS, FIB4), abdominal ultrasound and vibration controlled transient elastography (VCTE) including controlled attenuation parameter (CAP) and the Fibroscan-AST (FAST) score. Patients were stratified according to indication of therapeutic coronary intervention. 120 patients were recruited, MAFLD was found in 41%, while advanced fibrosis or cirrhosis were present in only 5%. Coronary vascular intervention was indicated in 42% (n = 50). Severity of steatosis assessed by CAP and risk of fibrosis defined by elevated liver stiffness (VCTE>8 kPa) and fibrosis indices were associated with the need for coronary intervention. FAST score, a marker of fibrotic steatohepatitis, was elevated in the intervention group (0.22 vs. 0.12, p<0.001). Multivariate regression analysis revealed FAST score as strongest predictor of CAD (OR 2.3 95%, CI 1.40-2.96). MAFLD is a frequent comorbidity in patients at CAD risk, but advanced liver disease has a low prevalence in patients undergoing elective coronary angiography. Therefore, a routine VCTE-based screening for FLD cannot be recommended in cardiac patients. The association of indicators of steatohepatitis with advanced CAD points to inflammatory processes as a conjoint mechanism of both diseases.

Single-cell RNA sequencing atlas of peripheral blood mononuclear cells from subjects with coronary artery disease

BackgroundThe landscape of specific peripheral circulating immune cell subsets at the single-cell level in the occurrence and development of coronary artery disease (CAD) remains poorly understood. MethodsWe conducted single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells (PBMCs) from subjects with CAD (n = 3), and controls (n = 3), as well as downstream analysis including cell- and gene-level approaches. This explored the characteristics of peripheral circulating immune cells between CADs and controls by means of Uniform manifold approximation and projection (UMAP), Monocle3 package, CellPhoneDB, and single-cell regulatory network inference and clustering (SCENIC). PBMCs were used as clinical samples for validating our findings by qRT-PCR. ResultsWe identified 33 cell clusters among 67,447 cells, including monocytes, T cells, B cells, NK cells, and platelets. The significant difference in the abundance of the 33 clusters of cell type between CADs group and controls group was not found. The JUN was shared in cluster 0, 11,13, and 24 from differential expression genes analysis and SCENIC analysis in monocyte clusters between CAD and controls. Besides, JUN was validated to be significantly upregulated in the CAD group (p = 0.018) and may act as a potential diagnostic biomarker and independent predictor of CAD. ConclusionsOur study offered a detailed profiling of single-cell RNA sequencing of PBMCs from subjects with CADs and controls. These data provide a line of evidence that the JUN signaling pathway may be a potential diagnostic and therapeutic molecule target for CAD.

Fibrinogen to albumin and C-reactive protein to albumin ratio can play an important role in catheterization decisions in COVID-19 pneumonia patients: A retrospective cohort study

Background/Aim: Elevated troponin T (Tp) is an important indicator in the decision to catheterize. However, since COVID-19 infection may cause elevated Tp, different biomarkers are needed to make the decision for catheterization. We aimed to investigate the importance of fibrinogen-to-albumin ratio (FAR) and CRP-to-albumin ratio (CAR) values in predicting obstructive coronary artery disease (CAD) in patients hospitalized with COVID-19 pneumonia and catheterized with the suspicion of acute coronary syndrome (ACS). Methods: In this retrospective cohort study, clinical, laboratory, catheterization, and electrocardiography data of all patients were analyzed. Patients with obstructive CAD were defined as the MI group, and patients with normal coronary arteries were defined as the normal group. Results: The MI group consisted of 49 patients (66.2%), and the normal group consisted of 25 patients (33.8%). Both FAR and CAR were significantly higher in the MI group (P=0.007; P=0.009, respectively). FAR and CAR were found to be independent predictors of obstructive CAD (95% CI 0.06 [0.000-34.052], P=0.024; 95% CI 1.35 [0.803-2.255], P=0.025, retrospectively). A cut-off value of 0.64 for FAR has an 80% sensitivity and a 40% specificity, and a cut-off value of 0.65 for CAR has an 83% sensitivity and a 41% specificity in predicting obstructive CAD. Conclusion: A decision for ACS and catheterization in patients hospitalized with COVID-19 pneumonia in the ICU should not be based only on elevated Tp, as it is useful to evaluate FAR and CAR values in addition to Tp.

Peripheral Artery Disease Diagnosed by Pulse Palpation as a Predictor of Coronary Artery Disease in Patients with Chronic Kidney Disease.

There is a need of simple, inexpensive, and reliable noninvasive testing to predict coronary artery disease (CAD) in patients with chronic kidney disease (CKD), where the prevalence of cardiovascular (CV) events and death is elevated. We analyzed the association between peripheral artery disease (PAD) and CAD in 201 patients with stage 5 CKD on dialysis using a prospective observational cohort. Diagnosis of PAD by both palpation and USD were significantly correlated. In patients with PAD diagnosed by palpation, CAD was observed in 80%, while in those diagnosed by USD, CAD was present in 79.1%. The absence of a pulse by palpation predicted CAD with a sensitivity of 55% and a specificity of 76%; USD showed a sensitivity of 62% and specificity of 60% to predict CAD. The risk of combined serious CV events and death was significantly higher in subjects with PAD diagnosed by palpation, but not by USD. PAD assessed by palpation also correlated with the occurrence of multivessel CAD and with the probability of coronary intervention. Both methods are moderately useful for predicting CAD, but PAD diagnosis by palpation was a better predictor of combined CV events and death and was also associated with CAD severity and likelihood of intervention.

The Association of Severe Coronary Tortuosity and Non-Obstructive Coronary Artery Disease.

Background and Objectives: There is an increasing interest in the coronary tortuosity as a novel pathophysiological mechanism of ischemia in coronary artery disease without significant obstruction, but there are a lack of studies to confirm this relationship in the clinical setting. The aim of our study was to evaluate the association of severe coronary tortuosity and the potential role of coronary blood supply dominance in the appearance of myocardial ischemia in patients with non-obstructive coronary artery disease (non-CAD), compared to patients with obstructive coronary artery disease (CAD). Materials and Methods: The study enrolled 131 participants (71 male and 60 female), recruited among patients referred to cardiologists due to angina symptoms with ischemic alterations established by cardiac stress tests, as well as those admitted to the hospital for acute coronary syndrome. Results: Mean age of recruited patients was 61.6 (±10.1) years. According to the coronary angiography, they were divided into two groups: non-obstructive and obstructive CAD (77 and 54, respectively). There were significantly more women (61% vs. 24%, p < 0.001) in the non-CAD group. Both tortuous coronary arteries (50.6% vs. 14.8%, p < 0.001) and left coronary dominance (37.7% vs. 16.7%, p = 0.006) were more frequent in the non-CAD group compared to the CAD group. Female sex (OR = 17.516, p = 0.001), tortuous coronary arteries (OR = 7.962, p = 0.006) and left dominance of blood supply were significant predictors for non-CAD. Conclusions: Non-obstructive CAD is common among patients, especially women, who are referred for coronary angiography. Severe coronary artery tortuosity is the strongest independent predictor of non-obstructive CAD, followed by female gender and left coronary dominance.

Elucidation of genetic determinants of dyslipidaemia using a global screening array for the early detection of coronary artery disease.

Dyslipidemia is a major risk factor for the development of coronary artery disease (CAD). Understanding the genetic determinants of dyslipidemia can provide valuable information on the pathogenesis of CAD and aid in the development of early detection strategies. In this study, we used a Global Screening Array (GSA) to elucidate the genetic factors associated with dyslipidemia and their potential role in the prediction of CAD. We conducted a GSA-based association study in 265 subjects to identify the genetic loci associated with dyslipidemia traits using Multiple Linear Regression (MLR) and Logistic Regression (LR), Classification and Regression Tree (CART), and Manhattan plots. We identified an association between dyslipidemia and variants identified in genes such as JCAD, GLIS3, CD38, FN1, CELSR2, MTNR1B, GIPR, DYM, APOB, APOE, ADCY5. The MLR models explained 62%, 71%, and 81% of the variability in HDL, LDL, and triglycerides, respectively. The Area Under the Curve (AUC) values in the LR models of HDL, LDL, and triglycerides were 1.00, 0.94, and 0.95, respectively. CART models identified novel gene-gene interactions influencing the risk for dyslipidemia. To conclude, we have identified the association of 12 SNVs with dyslipidemia and demonstrated their clinical utility in four different models such as MLR, LR, CART, and Manhattan plots. The identified genetic variants and associated pathways shed light on the underlying biology of dyslipidemia and offer potential avenues for precision medicine strategies in the management of CAD.

Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm.

Chronic stress promotes the development of atherosclerosis, causing disruptions in the body's hormone levels and changes in the structural function of organs. The purpose of this study was to investigate the pathological changes in the adrenal gland in a model of atherosclerosis under chronic stress and to verify the expression levels of Sodium-glucose cotransporter (SGLT) 1 and SGLT2 in the adrenal gland and their significance in the changes of adrenal gland. The model mice were constructed by chronic unpredictable stress, high-fat diet, and Apoe-/- knockout, and they were tested behaviorally at 0, 4, 8 and 12 weeks. The state of the abdominal artery was examined by ultrasound, and the pathological changes of the aorta and adrenal glands were observed by histological methods, and the expression levels and distribution of SGLT1 and SGLT2 in the adrenal gland were observed and analyzed by immunofluorescence and immunohistochemistry. The predictive value of SGLT1 and SGLT2 expression levels on intima-media thickness, internal diameter and adrenal abnormalities were verified by receiver operating characteristic (ROC) curves, support vector machine (SVM) and back-propagation (BP) neural network. The results showed that chronic stress mice had elevated expression levels of SGLT1 and SGLT2. The model mice developed thickening intima-media and smaller internal diameter in the aorta, and edema, reticular fiber rupture, increased adrenal glycogen content in the adrenal glands. More importantly, analysis of ROC, SVM and BP showed that SGLT1 and SGLT2 expression levels in the adrenal glands could predict the above changes in the aorta and were also sensitive and specific predictors of adrenal abnormalities. SGLT1 and SGLT2 could be potential biomarkers of adrenal injury in atherosclerosis under chronic stress.

Coronary Artery Calcium Scoring by Computed Tomography and the GRACE Risk Score as Predictors of Obstructive Coronary Artery Disease in Patients with Non-ST Segment Elevation Acute Coronary Syndrome: A Comparative Study

Abstract Aim and objectives The aim of our study is to enhance patient risk stratification which can potentially influence the treatment strategy. Our objective is to evaluate the correlation of the Global Registry of Acute Coronary Events (GRACE) risk score, the coronary artery calcium (CAC) score and their use combined with the extent and severity of obstructive coronary artery disease (CAD) in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS). Patients and Methods This study included two hundred and two patients who presented with NSTE-ACS and were planned for coronary angiography in Ain Shams University hospitals during the period from September 2020 to February 2021. The GRACE score was calculated for all patients and they were divided into 3 groups according to the predicted in-hospital and post-discharge to 6 months mortality risk. Patients then underwent coronary artery calcium scoring (CACS) using computed tomography (CT) and were divided into 4 groups according to their Agatston score. Following invasive coronary angiography, patients were divided into 2 groups depending on whether or not there was at least one significant stenosis. Patients who had significant stenosis were then divided into 4 subgroups according to the number of vessels affected; one-vessel disease, two-vessel disease, multi-vessel disease and left main CAD. A receiveroperating characteristic (ROC) curve was plotted for the CAC score, the GRACE score and for the CAC score combined with the GRACE score. It was used to suggest a cut-off value for each score below which obstructive CAD can be excluded in patients presenting with NSTE-ACS. Results The CAC score and the GRACE score were significantly higher in patients with obstructive CAD detected on invasive coronary angiography. Both, the CAC score and the GRACE score positively correlated with the number of affected coronaries. It was also detected that a CAC score of zero had a highly significant relationship with the absence of significant stenosis on invasive coronary angiography (p value &amp;lt;0.001). A CAC score of zero had a negative predictive value of 84.8% [95% Confidence Interval (CI): 72.4% to 92.2%], a positive predictive value of 73.7(95% CI: 69.3% to 77.7%), a sensitivity of 94.3 %( 95% CI: 88.5% to 97.7 %), and a specificity of 48.8% (95% CI: 37.4% to 60.2%). In addition, tested the use of zero CAC to exclude obstructive CAD in patients with low inhospital and post discharge mortality risk had a higher sensitivity, specificity, positive and negative predictive values. From the ROC curve, it could be concluded that the use of CACS in combination with the GRACE score improves the sensitivity, specificity, positive and negative predictive value in comparison to the use of the GRACE score alone. Conclusion CAC score as detected by CT is predictive of obstructive CAD and correlates with its extent or in other words, the number of affected coronaries. The low radiation dose and absence of contrast exposure in CACS make it an attractive candidate for the on-going research regarding the noninvasive tools for prediction of CAD. In addition to the role of GRACE score in predicting the risk of mortality in ACS, it can be also used to predict the severity and extent of obstructive CAD. It can be hypothesized that its combination with CAC score improves its reliability as a predictor of obstructive CAD.

The effect of smartphone addiction on vessel wall thickness, which is a predictor of atherosclerosis.

The increasing global popularity of smartphone usage has increased concerns about the negative effects of smartphone addiction, such as lack of sleep, sedentary life, bad eating habits, anxiety, stress, and depression, especially among the young population. These problems caused by smartphone addiction are also well-known risk factors for atherosclerosis. However, according to our observation, there is no research in the literature that directly shows the relationship between smartphone addiction and subclinical atherosclerosis. In this study, carotid intima-media thickness, an important surrogate marker in demonstrating subclinical atherosclerosis, was used to examine the relationship between smartphone addiction and subclinical atherosclerosis. This cross-sectional study was conducted on 96 high school students aged between 13 and 22 years. A smartphone addiction questionnaire consisting of 33 questions was applied to measure smartphone addiction. Along with the socio-demographic characteristics of the patients, factors such as eating habits, sleep patterns, and activity levels were also questioned. The mean carotid intima-media thickness was measured by an experienced sonographer according to the published and accepted methods. When we set the threshold for smartphone addiction at over 66 points, we discovered that the group with smartphone addiction had considerably thicker carotid intima-media (0.68 ± 0.2 versus 0.45 ± 0.1; p < 0.001). In addition, logistics regression analysis had shown that smartphone addiction level independently affects the carotid intima-media thickness (odds ratio:1.111; %95 GA:1.057-1.168, p < 0.001). Smartphone addiction may help prediction of subclinical atherosclerosis via carotid intima-media thickness among teenagers.

Baseline Left Ventricle Longitudinal Strain as a Predictor for Clinical Improvement Following Coronary Sinus Reducer Implantation

Coronary sinus narrowing device (reducer) implantation has emerged as an effective treatment to improve the quality of life and functional capacity in patients suffering from disabling refractory angina. Left ventricle global longitudinal strain (LV-GLS) is a useful tool for early diagnosis of subclinical cardiac injury and an independent predictor for coronary artery disease. We aimed to investigate whether LV-GLS could help predict clinical improvement after coronary sinus reducer implantation. LV-GLS assessments were performed at baseline and 6months after reducer implantation in consecutive patients treated for refractory angina. Patients were divided into 2 groups based on reduced (<17% absolute value) or preserved baseline LV-GLS. Clinical improvement was defined as an increase of ≥25m in the 6-minute walk test (6MWT) at follow-up. Overall, 41 patients were included, 31 in the reduced LV-GLS group and 10 in the preserved LV-GLS group. The mean age was 68±8years, with only 2 female patients (5%). Baseline characteristics did not differ significantly between the 2 groups. Univariable analysis revealed that LV-GLS was the only significant predictor for 6MWT improvement. Baseline preserved LV-GLS reduced the likelihood of 6MWT improvement by 82% (odds ratio 0.18 [0.04 to 0.83], p=0.029). A significant increase in 6MWT (307±97m to 343±92m, p=0.017) was observed in the reduced LV-GLS group, compared with a decrease in the preserved LV-GLS group (378±86m to 361±123m, p=0.651). In conclusion, reduced LV-GLS may serve as a marker for potential clinical improvement in patients with refractory angina treated with reducer. Larger clinical trials are needed to establish its role.

Liver Fibrosis Scores and Coronary Artery Disease: Novel Findings in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a recently proposed term as a more appropriate definition for nonalcoholic fatty liver disease (NAFLD). Previous studies have shown an association between liver fibrosis scores and cardiovascular disease (CVD) in patients with NAFLD. In this study, we aimed to investigate the relationship between liver fibrosis scores and coronary artery disease (CAD) severity in patients with MAFLD. This study was conducted on 1346 patients with MAFLD at the Second Hospital of Dalian Medical University between January 2018 and December 2021. We calculated the liver fibrosis scores, including the fibrosis 4 (FIB-4) score, nonalcoholic fatty liver disease fibrosis score (NFS), and aspartate aminotransferase-to-platelet ratio index (APRI). We divided the participants into three groups based on the degree of coronary artery stenosis assessed using coronary computed tomography angiography (CCTA): CAD (≥50%), non-obstructive (1-49%), and normal (no stenosis). An increased FIB-4 score and NFS were significantly associated with CAD severity in patients with MAFLD. The percentage of patients with a high FIB-4 score was higher in the CAD group than in the other two groups (5.80%, 4.31%, and 2.24%, respectively; p<0.001), as was the percentage of patients with NFS (11.12%, 5.19%, and 0.93%, respectively; p<0.001). Carotid atherosclerosis, creatinine levels, and CAC scores were significant predictors of CAD. The FIB-4 score and NFS were independently associated with CAD even after adjusting for sex and well-known cardiovascular risk factors. The APRI was not a significant factor for CAD in any model. In the bivariate correlation analysis, the FIB-4 score and NFS were directly correlated with CAC scores. Non-invasive liver fibrosis scores (FIB-4 and NFS) were significantly associated with the CAD severity and CAC scores in patients with MAFLD. Screening for CAD may be beneficial for subjects with high liver fibrosis risk MAFLD.

Liver Fat Storage Is a Better Predictor of Coronary Artery Disease than Visceral Fat.

Fatty liver is one aspect of metabolic syndrome. The roles and contributions of fatty liver and visceral fat storage to coronary artery disease (CAD) are not clear. This study measured associations among visceral fat storage, fatty liver, insulin resistance, atherosclerosis, and CAD. Patients were divided into three groups: excess visceral fat (visceral fat area >330 ± 99 cm2), non-alcoholic fatty liver disease (NAFLD), and a control group. The definition of fatty liver is liver minus spleen density greater than or equal to -10. We defined early atherosclerosis as intima-media thickness of the common carotid artery >7 mm in men and >0.65 mm in women, measured with Doppler ultrasound. Visceral fat area was defined using CT (>330 ± 99 cm2). Insulin-resistance biomarkers (HOMA), CRP, and oxidant-antioxidant status (MDA-Paraoxonase) were also measured. Patients with high liver or visceral fat showed higher coronary plaque prevalence (50% (p < 0.001), 38% (p < 0.01), respectively vs. 25% in the control group), higher prevalence of coronary stenosis (30% (p < 0.001), 22% (p < 0.01) vs. 11% in the control group), higher intimal thickening (0.98 ± 0.3 (p< 0.01), 0.86 ± 0.1 (p < 0.01) vs. 0.83 ± 0.1 in the control group), higher HOMA (4.0 ± 3.0 (p < 0.005), 3.0 ± 1.0 (p < 0.001) vs. 1.5 ± 1.2 in the control group), and higher triglyceride levels (196.8 ± 103 (p < 0.005), 182.6 ± 90.87 (p < 0.005) vs. 145 ± 60 in the control group). Multiple logistic regression analysis showed that fatty liver predicted CAD (OR 2.7, 95% CI 2.3-4.9, p < 0.001) independently of visceral fat storage (OR 2.01, 95% CI 1.2-2.8, p < 0.001). Liver fat storage is a strong independent risk factor for CAD and carotid atherosclerosis and contributes more than visceral fat storage.