Predictor Of Coronary Artery Disease Research Articles

Association between serum uric acid and arterial stiffness in a large-aged 40-70 years old population.

Arterial stiffness (AS), measured by arterial stiffness index (ASI), is a determinant in cardiovascular (CV) diseases. A high serum uric acid (SUA) level is a known risk factor for CV disease. The authors investigated the relationship between SUA and ASI in the middle‐age UK Biobank population study. AS was defined as ASI > 10 m/s. A cross‐sectional study was conducted from 126 663 participants. Participants were divided into four quartiles according to SUA levels and sex. Sex multivariate analyses were performed with adjustment for confounding factors. The average ASI for overall participants was 9.3 m/s (SD: 2.9); 9.9 m/s (SD: 2.8) for men and 8.7 m/s (SD: 2.9) for women (P < .001). Men presented higher SUA rate (351.3 mmol/L (SD:67.9)) than women (270.7 mmol/L (SD:64.4)), P < .001. In men multivariate analysis, SUA remained a determinant of AS, with an increase in the strength of the association between the quartiles, Q4 versus Q1, OR = 1.10 [1.05–1.16], P < .001, Q3 versus Q1, OR = 1.09 [1.04–1.14], P < .001 but not between Q2 and Q1 (P = .136). In women, SUA remained significant for AS, with an increase in the strength of the association between the quartiles, Q4 versus Q1, OR = 1.22 [1.15–1.30], P < .001, Q3 versus Q1, OR = 1.13 [1.07–1.19], P < .001 and no difference between Q2 and Q1 (P = .101). When applying continuous SUA values in the multivariate analysis, SUA remained significant (P < .001), with a Youden index value for men = 338.3 mmol/L and for women = 267.3 mmol/L. High SUA levels were associated with AS, suggesting that SUA could be used as a predictor of atherosclerosis.

1141-P: HDL Particle Concentration, Cholesterol Efflux Capacity, and All-Cause Mortality in Type 1 Diabetes

Recent evidence suggests that HDL particle concentration (HDL-P) and cholesterol efflux capacity (CEC) are better predictors of coronary artery disease than HDL-C in type 1 diabetes (T1D) . We hypothesized that these novel HDL markers also predict all-cause mortality better than HDL-C in T1D. HDL-P (calibrated ion mobility analysis) and CEC (validated cell-based assay) were quantified in the first available stored sample from 550 Epidemiology of Diabetes Complications study participants with childhood onset (&amp;lt;17 years) T1D (baseline mean age 27.8 years and T1D duration, 19.6 years) . Vital status was assessed as of September 30, 2019. During a median follow-up of 26 years, there were 167 deaths. At analytic baseline, deceased were older, with longer T1D duration and a worse cardiovascular risk factor profile compared with survivors. In Cox proportional hazards models, after multivariable adjustments including for HDL-C, the concentration of total HDL-P (T-HDL-P, HR=0.90, 95% CI: 0.84-0.96) and that of three of the four major HDL subpopulations - extra small (XS-HDL-P, HR=0.44, 0.21-0.90) , small (S-HDL-P, HR=0.74, 0.60-0.93) and medium (M-HDL-P, HR=0.80, 0.70-0.91) particles - were associated with a lower mortality risk. Marginal protective associations were also observed for the concentration of large-sized particles (L-HDL-P, HR=0.84, 0.68-1.06) , as well as for CEC (HRs per SD was 0.86 (0.74-1.00) and 0.86 (0.73-1.01) for overall J774 and ABCA1-specific CEC, respectively) . These results remained largely unchanged by further adjustment for HDL-P (in the case of HDL-C and CEC) or APOA1 and triglyceride concentrations (for HDL-P) and were similar by sex. HDL-C was not a significant predictor of mortality in either univariate or multivariable analyses. Our findings show that higher HDL-P concentrations are negatively associated with mortality in T1D independent of other risk factors. Disclosure T.Costacou: None. R.G.Miller: Stock/Shareholder; Becton, Dickinson and Company. T.J.Orchard: None. T.Vaisar: Consultant; AstraZeneca. Funding National Institutes of Health (R01HL130153 and R01DK034818) and the Rossi Memorial Fund.

Serum levels of IL-37 and correlation with inflammatory cytokines and clinical outcomes in patients with coronary artery disease

Coronary artery disease (CAD) due to atherosclerosis is one of the important reasons for death worldwide. Recent evidence has suggested the essential role of inflammation in the progression of atherosclerosis....

Identification of Serum Oxylipins Associated with the Development of Coronary Artery Disease: A Nested Case-Control Study.

Coronary artery disease (CAD) is among the leading causes of death globally. The American Heart Association recommends that people should consume more PUFA-rich plant foods to replace SFA-rich ones to lower serum cholesterol and prevent CAD. However, PUFA may be susceptible to oxidation and generate oxidized products such as oxylipins. In this study, we investigated whether the blood oxylipin profile is associated with the risk of developing CAD and whether including identified oxylipins may improve the predictability of CAD risk. We designed a nested case-control study with 77 cases and 148 matched controls from a 10-year follow-up of the Nutrition and Health Survey in a Taiwanese cohort of 720 people aged 50 to 70. A panel of 46 oxylipins was measured for baseline serum samples. We discovered four oxylipins associated with CAD risk. 13-oxo-ODE, which has been previously found in formed plagues, was positively associated with CAD (OR = 5.02, 95%CI = 0.85 to 15.6). PGE2/PGD2, previously shown to increase cardiac output, was inversely associated (OR = 0.16, 95%CI = 0.06 to 0.42). 15-deoxy-PGJ2, with anti-inflammatory and anti-apoptosis effects on cardiomyocytes (OR = 0.26, 95%CI = 0.09 to 0.76), and 5-HETE, which was associated with inflammation (OR = 0.28, 95%CI = 0.10 to 0.78), were also negatively associated as protective factors. Adding these four oxylipins to the traditional risk prediction model significantly improved CAD prediction.

Breast arterial calcification and epicardial adipose tissue volume, but not density are independently associated with cardiovascular risk

BackgroundMammographically detected breast arterial calcification (BAC) has been proposed as surrogate marker for coronary artery disease (CAD) in women. Epicardial adipose tissue (EAT) and peri-coronary adipose tissue (PCAT) are inflammatory fat depots linked to atherogenesis. BAC has demonstrated association with inflammation, therefore we aimed to determine the association between BAC, EAT and PCAT. MethodsSingle-centre, retrospective, cross-sectional study of women with digital mammography and coronary computed tomography angiography (CCTA). EAT and PCAT were quantitively assessed using semi-automated software. Patient demographics and cardiovascular risk factors were obtained from medical records and mammograms reviewed for BAC. Pre-test cardiovascular risk was determined with CAD Consortium Score. Chi-square, t-test and Mann-Whitney U tests were used to assess between group differences. Multivariable linear and logistic regression modelling was conducted to adjust for confounders. ResultsAmong 153 patients (age 61, SD 11) included in this study, BAC was present in 37 (24%) patients. BAC-positive patients had higher EAT volume (EATv) (110.2 mL, SD 41 mL vs 94.4 mL, SD 41 mL, p = 0.02) but this association was not significant after adjusting for cardiovascular risk factors (p = 0.26). BAC did not associate with EAT density or PCAT. BAC and EATv were strongly associated with cardiovascular risk and CAD independent of each other: CV risk (BAC OR 7.55 (3.26–18.49), p < 0.001, EATv OR 1.02 (1.01–1.03), p < 0.001), CAD presence (BAC OR 4.26 (1.39–13), p = 0.01; EATv OR 1.01 (1.0–1.03), p = 0.04). ConclusionBAC and EATv are independent predictors of CV risk and CAD, but don't independently associate with each other, the relationship confounded by shared cardiovascular risk factors. BAC doesn't appear to associate with adipose tissue density and its presence may be cumulative result of long-term exposure to CV risk factors.

A variant in the fibronectin (FN1) gene, rs1250229-T, is associated with decreased risk of coronary artery disease in familial hypercholesterolaemia

BackgroundIncreased risk of coronary artery disease (CAD) in familial hypercholesterolaemia (FH) is modified by factors beyond defects in the low-density lipoprotein receptor pathway. The rs1250229-T single nucleotide polymorphism (SNP) in the FN1 gene is associated with CAD in genome-wide association studies and is in linkage disequilibrium with another SNP (rs1250259-T) in FN1 that is associated with decrease fibronectin secretion. ObjectiveWe investigated whether rs1250229-T was also associated with prevalent CAD in patients with genetically confirmed FH. MethodsWe collected clinical data from 256 patients with genetically confirmed FH. The FN1 rs1250229 SNP was genotyped on a SEQUENOM platform. The association between rs1250229-T and prevalent CAD was assessed using simple and multiple regression analyses. ResultsIn patients with FH, the FN1 rs1250229-T (minor) allele was a significant negative predictor of prevalent CAD (odds ratio [OR] 0.353; 95% confidence interval [CI] 0.193 - 0.647; P = 0.001). FN1 rs1250229-T remained a significant predictor of prevalent CAD after adjusting for age, sex, obesity, hypertension, smoking status and lipoprotein(a) concentration (OR 0.200; 95% CI 0.091 - 0.441; P < 0.001). ConclusionThe FN1 rs1250229-T allele is inversely associated with CAD in patients with genetically confirmed FH, independently of traditional risk factors. While this finding requires replication, it suggests that the biology of fibronectin may contribute to variation in the risk of CAD in FH.

Speckle Tracking as Predictor of Coronary Artery Disease in Diabetic Female with Acute Chest Pain

Background: Cardiovascular disease is the most common reason of mortality and morbidity all-over the world and is the major complication of diabetes. Diabetes mellitus (DM) has reached epidemic proportions worldwide and the consequences of its diagnosis are as severe as a diagnosis of coronary artery disease (CAD). Females are more likely to develop atypical symptoms of coronary CAD than males later in life. Imaging of deformation by two-dimensional speckle-tracking echocardiography (2DSTE) has developed as a highly effective method for quantification of the function of myocardium.&#x0D; This research aimed to evaluate the accuracy of diagnosis using speckle tracking for prediction of the existence or absence of severe CAD in diabetic female with acute chest pain by using two-dimensional echocardiography.&#x0D; Methods: This study is a cohort prospective research which was carried out at the department of cardiology, Tanta University Hospitals and National Heart Institute from the duration of October 2019 to September 2020 on 60 diabetic female patients above 18 years old with acute chest pain may be prolonged for &gt; 20 minutes or transient, changes in ECG in the form of depression of ST segment and/or inversion of T wave (ECG may be normal) and cardiac biomarkers (troponin and CKMB) may be elevated or normal.&#x0D; Results: 2D speckle tracking was good predictor for multi-vessels disease with 95% total accuracy, then for single vessels disease with 85% total accuracy and finally for double vessel disease stenosis with 80% accuracy as shown in table. Among Non-STEMI group, 2D speckle tracking was good predictor for multi-vessels disease with 95% total accuracy, then for single vessels disease with 80% total accuracy and finally for double vessel disease stenosis with 75% accuracy as shown in table.&#x0D; Conclusions: We found that speckle tracking is effective in predicting presence of CAD in diabetic female patients had acute chest pain and in prediction of affected vessels depending on the distribution of affected segments in longitudinal strain by GLS. In addition, it can be used as non-invasive test for patients with acute coronary syndrome.

Serum Cytokines Predict the Severity of Coronary Artery Disease Without Acute Myocardial Infarction.

IntroductionVarious cytokines were involved in the process of atherosclerosis, and their serum levels were correlated with coronary artery disease (CAD) to varying degrees. However, there were limited reports about the correlation between serum cytokines and the severity of coronary atherosclerotic lesion in patients with non-acute myocardial infarction (AMI). The purpose of this study was to investigate the relationship between serum cytokines and the severity of CAD, and identify the predictors of severe CAD in patients suspected to have CAD but AMI had been ruled out.MethodsA total of 502 patients who had suspected CAD and underwent coronary angiography were enrolled. The serum levels of IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, TNF-α, IFN-α,and IFN-γ were determined by multiplexed particle-based flow cytometric assays technology. And the severity of CAD was evaluated by Gensini score (GS).ResultsThe serum levels of IL-4, IL-12p70, IL-17, and IFN-α were significantly lower in the severe CAD group (GS≥30) than those in the non-severe CAD group (GS < 30). And IL-12p70 and IL-17 were negatively correlated with the severity of CAD. Multivariate logistic regression analyses demonstrated that two serum cytokines (IL-12p70 and IL-17), one clinical protective factor (HDL-C), and two clinical risk factors (gender and diabetes) were the independent predictors of severe CAD. ROC curve analysis showed that multivariate mode combined these predictors had a good performance in predicting severe CAD.ConclusionThe combination of serum cytokines (IL-12p70 and IL-17) and clinical risk factors (HDL-C, gender, and diabetes) may help identify patients with more severe coronary artery lesions from those with suspected CAD but not AMI, and may contribute to guiding the risk stratification for patients with chest discomfort in health care facilities without sufficient medical resources (especially cardiac catheterization resources).

Increased risk of subsequent cardiovascular disease among men aged 31-60 years with erectile dysfunction

ABSTRACT Background Men presenting with erectile dysfunction (ED) or coronary artery disease (CAD) can be regarded as two different manifestation of vascular occlusion incident. ED has been proven to be an independent predictor of CAD, especially young men aged 40-49 years. Although psychogenic ED is more prevalent in younger patients less than 40 years of age, but the ED presentation can also be related to vasculogenic etiology. The purpose of this study is to evaluate the subsequent CAD risk in young ED patients and also determine the relative CAD risk in ED men stratified by age. Methods A total of 3091 ED patients and 9273 randomly-selected controls without ED were selected from the National research database and studied retrospectively from January 1,1997 to December 31, 2007. The comparison cohort without ED was matched for age and comorbidities (diabetes, hypertension, hyperlipidemia and ischemic stroke). All subjects were followed up by the end of 2009. Cox proportional hazards regression models were used to explore the connection between ED and the development of CAD. Results The ED patients have a greater chance of developing cardiovascular disease compared to controls (460/3091, 14.9% vs. 1021/9273, 11.0%, p-values &amp;lt; 0.0001). Cox proportional hazards regression suggested ED increases the risk of CAD development (HR 1.37, 95% CI [1.22-1.53], p&amp;lt;0.0001). Results stratified by 10-year age decades demonstrate ED men aged 31-40 years, 41-50 years, and 51-60 years pose greater risk of developing CAD comparing to the controls (HR 1.61, 95% CI [1.04-2.52], p=0.03; HR 1.79, 95% CI [1.38-2.32], p&amp;lt; 0.0001; HR 1.68, 95% CI [1.35-2.09], p&amp;lt; 0.0001, respectively). On the contrary, the incident cardiac events were not increased in ED men aged 21-30 years, 61-70 years and 71-80 years comparing to the controls (HR 1.77, 95% CI [0.50-6.29], p=0.38; HR 1.17, 95% CI [0.95-1.44], p=0.15; HR 0.88, 95% CI [0.65-1.19], p=0.40, respectively). Conclusion Erectile dysfunction is a harbinger of cardiovascular clinical events in men aged 31-60 years. Erectile dysfunction should prompt investigation and close follow up for further cardiac events. Disclosure Work supported by industry: no.

OA28 Exploring the potential of polygenic risk scores for predicting coronary artery disease in patients with rheumatoid arthritis

Abstract Background/Aims Patients with rheumatoid arthritis (RA) have a higher prevalence of coronary artery disease (CAD) than the general population which contributes to early mortality. Current screening tools for CAD, which are developed in the general population, are less effective for estimating CAD risk in patients with RA. This reduced performance is mainly due to the differing contribution from traditional risk factors and the contribution from disease-specific factors. Our understanding of the genetic basis of CAD has improved over recent years and shows promise for improving risk prediction in the form of polygenic risk scores (PRS). We hypothesise that PRS can help us improve CAD risk prediction in patients with RA by providing more accurate models of risk. Methods Patients were recruited from the Norfolk Arthritis Register (NOAR), a detailed community-based longitudinal observational study focused on the cause and outcome of inflammatory polyarthritis, between 1990 and 2017. Analysis was restricted to patients who satisfied the 2010 ACR criteria cumulatively over five years and had detailed clinical history at baseline and follow-up. We developed a prediction model based on traditional risk factors and explored the inclusion of a PRS (49K SNPs) in a subset of patients with available genetic data. Cox proportional hazards models were used to derive risk equations for evaluation of 10-year risk of CAD. We applied multiple imputations with chained equations using the Random Forest algorithm to replace missing values. Measures of calibration and discrimination were determined in the validation cohort of 423 individuals. Results A total of 2123 patients were included in the analysis with 136 incident cases of self-reported CAD. The model using only traditional risk factors achieved an AUC of 0.72 (95% CI 0.71, 0.73), with a calibration slope of 1.03, and explained approximately 50% (95% CI 47, 52%) of the variance of the outcome. We found that being male reduces the risk by a factor of 0.82 (95% CI 0.68, 1.00). The hazard ratio for age was found to be 1.00 (95% CI 0.99, 1.01) indicating risk remains the same across all age groups. Inclusion of a CAD PRS increased the performance with an AUC of 0.76 (95% CI 0.75, 0.77), explained variance of 53% (95% CI 49, 56%) but with a slightly worse calibration slope of 0.91. Conclusion An integrated risk score, that combines traditional risk factors with a PRS, improves CAD prediction in patients with RA. Further research is required to better understand the role of heritable components contributing to CAD risk in RA patients. By refining the underlying PRS, we hope to further improve CAD risk prediction in RA patients, through this integrated approach. Disclosure M. Soomro: None. M. Stadler: None. S. Viatte: None. A. MacGregor: None. S. Verstappen: None. A. Barton: None. J. Bowes: None.

Automated Classification of Left Ventricular Hypertrophy on Cardiac MRI

Left ventricular hypertrophy is an independent predictor of coronary artery disease, stroke, and heart failure. Our aim was to detect LVH cardiac magnetic resonance (CMR) scans with automatic methods. We developed an ensemble model based on a three-dimensional version of ResNet. The input of the network included short-axis and long-axis images. We also introduced a standardization methodology to unify the input images for noise reduction. The output of the network is the decision whether the patient has hypertrophy or not. We included 428 patients (mean age: 49 ± 18 years, 262 males) with LVH (346 hypertrophic cardiomyopathy, 45 cardiac amyloidosis, 11 Anderson–Fabry disease, 16 endomyocardial fibrosis, 10 aortic stenosis). Our control group consisted of 234 healthy subjects (mean age: 35 ± 15 years; 126 males) without any known cardiovascular diseases. The developed machine-learning-based model achieved a 92% F1-score and 97% recall on the hold-out dataset, which is comparable to the medical experts. Experiments showed that the standardization method was able to significantly boost the performance of the algorithm. The algorithm could improve the diagnostic accuracy, and it could open a new door to AI applications in CMR.

Prevalence, Predictors, and Outcomes of Patients With ST-Elevation Myocardial Infarction and Angiographically Significant Coronary Artery Disease of Non–Infarct-Related Artery

Patients with ST-elevation myocardial infarction (STEMI) can present with angiographically significant coronary artery disease (CAD) of non-infarct-related artery (IRA) or with IRA-only CAD. This study aimed to evaluate the prevalence, predictors, and outcome of patients with STEMI and angiographically significant CAD of non-IRA. All consecutive patients with STEMI who underwent primary percutaneous coronary intervention between 2000 and 2020 were included. Angiographically significant CAD was defined as >50% stenosis of the left main coronary artery and/or >90% stenosis for all other coronary arteries. A total of 2,663 patients had IRA-only CAD (80.2%) and 657 had angiographically significant non-IRA CAD (19.8%). Independent predictors for non-IRA CAD were male gender (odds ratio [OR] 1.34, 95% confidence interval [CI] 1.05 to 1.70, p=0.021), age >50years (OR 1.45, 95% CI 1.11 to 1.91, p=0.007), and diabetes mellitus (OR 1.56, 95% CI 1.29 to 1.9, p <0.001), whereas smoking (OR 0.83, 95% CI 0.68 to 0.99, p=0.004) and family history of CAD (OR 0.78, 95% CI 0.62 to 0.98, p=0.032) were found to be negatively associated with non-IRA CAD. In-hospital 30-day and 1- and 5-year all-cause mortality were higher in patients with non-IRA CAD compared with IRA-only CAD (5.8% vs 2.5%, 8.5% vs 3.3%, 18.4% vs 7.6% and 36.3% vs 20.3%, respectively; p for all <0.001). In conclusion, 20% of patients with STEMI had angiographically significant non-IRA CAD. Older age, male gender, and diabetes mellitus were independent predictors for non-IRA CAD, whereas smoking and family history of CAD predicted IRA-only CAD. The presence of non-IRA CAD was associated with higher short- and long-term all-cause mortality rates.

Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial

BackgroundPretest probability (PTP) calculators utilize epidemiological-level findings to provide patient-level risk assessment of obstructive coronary artery disease (CAD). However, their limited accuracies question whether dissimilarities in risk factors necessarily result in differences in CAD. Using patient similarity network (PSN) analyses, we wished to assess the accuracy of risk factors and imaging markers to identify ≥50% luminal narrowing on coronary CT angiography (CCTA) in stable chest-pain patients. MethodsWe created four PSNs representing: patient characteristics, risk factors, non-coronary imaging markers and calcium score. We used spectral clustering to group individuals with similar risk profiles. We compared PSNs to a contemporary PTP score incorporating calcium score and risk factors to identify ≥50% luminal narrowing on CCTA in the CT-arm of the PROMISE trial. We also conducted subanalyses in different age and sex groups. ResultsIn 3556 individuals, the calcium score PSN significantly outperformed patient characteristic, risk factor, and non-coronary imaging marker PSNs (AUC: 0.81 vs. 0.57, 0.55, 0.54; respectively, p ​< ​0.001 for all). The calcium score PSN significantly outperformed the contemporary PTP score (AUC: 0.81 vs. 0.78, p ​< ​0.001), and using 0, 1–100 and ​> ​100 cut-offs provided comparable results (AUC: 0.81 vs. 0.81, p ​= ​0.06). Similar results were found in all subanalyses. ConclusionCalcium score on its own provides better individualized obstructive CAD prediction than contemporary PTP scores incorporating calcium score and risk factors. Risk factors may not be able to improve the diagnostic accuracy of calcium score to predict ≥50% luminal narrowing on CCTA.

Mitral Annular Calcification Detected by Transthoracic Echocardiography is a Marker for High Prevalence and Severity of Angiographically Proven Coronary Artery Disease

Background: MAC was defined as a dense, localized, highly reflective area at the base of the posterior mitral leaflet detected by TTE. Obstructive CAD was defined as either 50% reduction of the internal diameter of the left main coronary artery or 70% reduction of the internal diameter of the left anterior descending, right coronary, or left circumflex artery distribution. Objective: The aim of the study was to evaluate the role of echocardiographically detected MAC as a predictor of coronary artery disease (CAD).Material &amp; Methods:In this prospective, observational, case-control study, coronary angiography was done in 50 patients with MAC and equal number of patients without MAC, detected with transthoracic echocardiography. Analysis was done to observe the association and correlation of MAC with angiographic findings.Results:Mean age of the case control was 55.16 ± 10.73 years and control was 49.80 ± 8.84 years. In this study 34% of patients with MAC and 32% patients without MAC had single vessel disease, 16% of patients with MAC and 24% patients without MAC had double vessel disease, 42% of patients with MAC and 22% patients without MAC had triple vessel disease (TVD), 16% of patients with MAC and 4% patients without MAC had Left main coronary artery disease and 8% of patients with MAC and 22% patients without MAC had no significant CAD.Multivariate analysis shows MAC (p=0.049) as an independent predictor for coronary artery disease (CAD).Conclusions:Transthoracic echocardiographically detected MAC is an independent predictor of coronary artery disease. The low cost, portable and radiation free nature of the ultrasound approach make MAC an attractive parameter in the ongoing search for the ideal marker of coronary artery disease (CAD).

Novel regional longitudinal strain by speckle tracking to detect significant coronary artery disease in patients admitted to the emergency department for chest pain suggestive of acute coronary syndrome

BackgroundGlobal longitudinal strain has shown variable results in detecting ischemia in patients admitted to the emergency department with chest pain, but without other clear evidence of coronary artery disease (CAD). Our aim was to investigate whether assessment of regional longitudinal myocardial function could assist in detecting significant CAD in these patients.MethodsClinical evaluation, electrocardiogram, echocardiogram and troponin T were evaluated in 126 patients admitted with chest pain. A subsequent invasive coronary angiography divided patients into two groups: significant CAD (CAD+) or non-significant CAD (CAD−). Global and regional myocardial function were evaluated by speckle tracking echocardiography. Regional longitudinal strain was defined as the highest longitudinal strain values in four adjacent left ventricular segments and termed 4AS.ResultsCAD+ was found in 37 patients (29%) of which 51% had elevated troponin. Mean 4AS was − 13.1% (± 3.5) in the CAD+ and − 15.2% (± 2.7) (p = 0.002) in the CAD− group. Predictors for CAD+ were age [OR 1.06 (1.01–1.11, p = 0.026)], smoking [OR 3.39 (1.21–9.51, p = 0.020)], troponin [OR 3.32 (1.28–8.60, p = 0.014)) and 4AS (OR 1.24 (1.05–1.46, p = 0.010)]. A cutoff for 4AS of > − 15% showed the best diagnostic performance with event-reclassification of 0.41 (p < 0.001), non-event-reclassification of − 0.34 (p < 0.001) and net reclassification improvement 0.07 (p = 0.60).ConclusionDecreased myocardial function in four adjacent LV segments assessed by strain has the potential to detect significant CAD in patients admitted with chest pain and negative/slightly elevated initial troponin.Trial registration: Current Research information system in Norway (CRISTIN). Id: 555249.

Abstract P007: Liver Biomarkers And Brain Health: The Atherosclerosis Risk In Communities (aric) Study

Introduction: Animal studies and emerging population data link liver function and integrity to brain health, although mostly based on cross-sectional estimates. We reported that low liver transaminases are associated with risk of dementia, but prospective studies on liver biomarkers and altered brain morphology are lacking. Methods: We studied 1,596 participants of the Atherosclerosis Risk in Communities (ARIC) Study cohort examined in 1996-98 (mean age: 62 years, 59% female, 27% Black) free of chronic liver disease, cirrhosis, and stroke, and with alanine aminotransferase (ALT) to aspartate aminotransferase (AST) ratio ≤2. Brain magnetic resonance imaging (MRI) scans were performed in 2011-13, at the time of re-examination. Serum transaminases (ALT, AST) and gamma-glutamyl transferase (GGT) at baseline were analyzed as sex-specific quintiles, with the first quintile further subdivided into a &lt;10 th and 10 th -20 th percentiles to allow for nonlinear associations at low biomarker levels. Brain MRI markers were measured with 3 Tesla MRI. Multinomial logistic and linear regressions were used, adjusted for demographics and APOE-ε4. Results: Monotonic associations were observed between higher GGT levels and smaller cortical volume and temporal lobe volume meta regions of interest (Figure) . The lowest GGT levels were associated with smaller volumes of white matter hyperintensities. In contrast, associations of transaminases with brain morphological measures were inconclusive. Conclusions: GGT levels measured in late mid-life are associated vascular sequelae on brain MRI among older adults. As a potent regulator of antioxidant capacity and a predictor of atherosclerosis, GGT may point to vascular pathways that influence brain health. The lack of association between low transaminases and brain MRI findings suggests non-vascular pathways for their association with incident dementia. A deeper understanding of the links between hepatic metabolic dysregulation and brain health is warranted.

Coronary Risk Estimation Based on Clinical Data in Electronic Health Records.

Clinical features from electronic health records (EHRs) can be used to build a complementary tool to predict coronary artery disease (CAD) susceptibility. The purpose of this study was to determine whether an EHR score can improve CAD prediction and reclassification 1 year before diagnosis, beyond conventional clinical guidelines as determined by the pooled cohort equations (PCE) and a polygenic risk score for CAD. We applied a machine learning framework using clinical features from the EHR in a multiethnic, clinical care cohort (BioMe) comprising 555 CAD cases and 6,349 control subjects and in a population-based cohort (UK Biobank) comprising 3,130 CAD cases and 378,344 control subjects for external validation. Compared with the PCE, the EHR score improved CAD prediction by 12% in the BioMe Biobank and by 9% in the UK Biobank. The EHR score reclassified 25.8% and 15.2% individuals in each cohort respectively, compared with the PCE score. We observed larger improvements in the EHR score over the PCE in a subgroup of individuals with low CAD risk, with 20% increased discrimination and 34.4% increased reclassification. In all models, the polygenic risk score for CAD did not improve CAD prediction, compared with the PCE or EHR score. The EHR score resulted in increased prediction and reclassification for CAD, demonstrating its potential use for population health monitoring of short-term CAD risk in large health systems.

Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion.

To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive evaluation. One hundred and twelve consecutive symptomatic patients scheduled for clinically indicated invasive coronary angiography (ICA) underwent CCTA plus static stress CTP and ICA with invasive fractional flow reserve (FFR) for stenoses ranging between 30 and 80%. Subsequently, a DL algorithm for the prediction of significant CAD by using the rest dataset (CTP-DLrest) and stress dataset (CTP-DLstress) was developed. The diagnostic accuracy for identification of significant CAD using CCTA, CCTA + CTP stress, CCTA + CTP-DLrest, and CCTA + CTP-DLstress was measured and compared. The time of analysis for CTP stress, CTP-DLrest, and CTP-DLStress was recorded. Patient-specific sensitivity, specificity, NPV, PPV, accuracy, and area under the curve (AUC) of CCTA alone and CCTA + CTPStress were 100%, 33%, 100%, 54%, 63%, 67% and 86%, 89%, 89%, 86%, 88%, 87%, respectively. Patient-specific sensitivity, specificity, NPV, PPV, accuracy, and AUC of CCTA + DLrest and CCTA + DLstress were 100%, 72%, 100%, 74%, 84%, 96% and 93%, 83%, 94%, 81%, 88%, 98%, respectively. All CCTA + CTP stress, CCTA + CTP-DLRest, and CCTA + CTP-DLStress significantly improved detection of hemodynamically significant CAD compared to CCTA alone (p < 0.01). Time of CTP-DL was significantly lower as compared to human analysis (39.2 ± 3.2 vs. 379.6 ± 68.0 s, p < 0.001). Evaluation of myocardial ischemia using a DL approach on rest CTP datasets is feasible and accurate. This approach may be a useful gatekeeper prior to CTP stress..

Role of vitamin D and its receptor in regulation of mechanisms of immune inflammation in patients with ischemic heart disease

Coronary heart disease still underlies high morbidity and mortality in people of working age. Thus, today one of the most important tasks facing clinical cardiology is the search for new molecular genetic predictors of coronary artery disease associated with the unfavorable course of this disease and the development of complications. In the present review, we analyzed the available data on the mechanisms of vitamin D interrelation with the development of immune inflammation in patients with coronary heart disease. The role of vitamin D and its receptor in cardiovascular diseases and in the development of coronary heart disease, in particular, is considered.Recent studies showed that vitamin D deficiency is a new risk factor for the development of atherosclerosis and immune inflammation. Immune damage of the vascular wall increases the risk of acute coronary syndrome, especially in patients with a predisposition to atherothrombosis. Vitamin D has a multilevel effect on immune inflammation mechanisms by restoring the balance in the system of pro- and anti-inflammatory cytokines. The protective effects of vitamin D on immune inflammation in the vascular wall are realized through vitamin D receptors. The present work re-viewed the studies describing possible mechanisms of immune inflammation regulation by vitamin D and its receptor and activation of immune inflammation in patients with vitamin D deficiency. Further studies of mechanisms of influence of vitamin D receptor on the suppression of immune inflammation are needed.

The Relation Between C-Reactive Protein-Albumin Ratio and Carotid Intima-Media Thickness in Psoriasis.

Psoriasis vulgaris is associated with an increased risk of atherosclerosis. The C-Reactive Protein-to-Albumin Ratio (CAR) has received increasing attention as an independent prognostic factor for inflammatory diseases. The carotid intima-media thickness (cIMT) is a predictor of atherosclerosis. We assessed the correlation between CAR and cIMT in patients with psoriasis vulgaris. We enrolled 147 participants (72 with psoriasis vulgaris and 75 controls). Disease severity was assessed using the "Psoriasis Area Severity İndex (PASI)." Patient and control groups were similar with regard to gender, age, and body mass index (BMI). cIMT was measured in both the left and the right common carotid arteries. CAR values were higher in patients with psoriasis compared with controls (0.93 (0.06-4.32) vs 0.51 (0.10-2.99), p < .001). The patients with psoriasis had a significantly greater cIMT compared with control subjects. (0.53 (0.42-0.65) vs 0.50 (0.41-0.65) mm, p = .03). PASI scores were positively correlated with CAR values (r = 0.532, p < .001). A positive correlation between cIMT and CAR was found in patients with psoriasis vulgaris (r = 0.463, p < .001). CAR is an easily derived reproducible marker that could prove useful for assessing the inflammatory status of patients with psoriasis in clinical practice. CAR may also prove useful as a cardiovascular risk marker in these patients.