Improving coronary heart disease risk assessment in asymptomatic people: role of traditional risk factors and noninvasive cardiovascular tests

Old, the new, more or less and the conundrum for biomarkers in cardiovascular diseases?

Biomarkers are critical for diagnostic, monitoring and management of cardiovascular diseases. Opportunities to improve how biomarkers are used are important. This editorial on biomarkers in coronary artery disease provides commentary on the study as well as broad benchmarks on what make ideal biomarkers. Biomarker discovery is difficult and opportunities to expand and improve their use should be encouraged.

Reporting of coronary artery calcification on chest CT studies in patients with interstitial lung disease

AIM

To evaluate the prevalence of coronary artery calcification (CAC) on non-contrast computed tomography (CT) of the thorax in patients with interstitial lung disease (ILD), assess consistency of CAC reporting and assess incidence of subsequent cardiac events.

MATERIALS AND METHODS

Patients with known interstitial lung disease who underwent a CT thorax over a 2-year period were retrospectively reviewed. Presence of CAC was assessed using a visual scale for CAC reporting and graded as mild, moderate, or severe by two cardiothoracic radiologists. CT reports were reviewed to determine if presence of CAC had been described. Electronic medical records were reviewed for any subsequent cardiothoracic events from the date of the CT thorax to present.

RESULTS

254 patients were included in the analysis (54.7% men; mean age 59.9 yo). 43.7% had CAC on their CT thorax; however, in 87.3% of those, reports did not comment on its presence. 8 patients had cardiac events; 7 of them had CAC on CT although only in 1 case this was reported. Global CAC and LAD CAC Patients with cardiac events had a significantly higher global CAC (p=0.016) and LAD CAC (p=0.048) when compared to patients without.

CONCLUSION

We demonstrated a high prevalence of CAC in ILD patients and its significant association with adverse cardiac events. Unfortunately, CAC on CT thorax is still largely unreported. As per recent BSCI/BSCCT and BSTI guidelines, reporting of CAC should become part of routine practice, as may prompt prevention and impact on patients outcome.

The relationship between coronary artery calcium and layer-specific global longitudinal strain in patients with suspected coronary artery disease

PURPOSE

Layer-specific global longitudinal strain (GLS) may provide important insights in patients with suspected coronary artery disease (CAD). We aimed to investigate the association between layer-specific GLS and coronary artery calcium score (CACS) in patients suspected of CAD.

METHODS

We performed a retrospective study of patients suspected of CAD who underwent both an echocardiogram and cardiac computed tomography (median 42 days between). Layer-specific (endocardial-, whole-layer-, and epicardial-) GLS was measured using speckle tracking echocardiography. We assessed the continuous association between layer-specific GLS and CACS by negative binomial regression, and the association with high CACS (≥400) using logistic regression.

RESULTS

Of the 496 patients included (mean age 59 years, 56% male), 64 (13%) had a high CACS. Those with high CACS had reduced GLS in all layers compared to those with CACS < 400 (endocardial GLS: -20.5 vs. -22.7%, whole-layer GLS: -17.7 vs. -19.4%, epicardial GLS: -15.3 vs. -16.9%, p < .001 for all). Negative binomial regression revealed a significant continuous association showing increasing CACS with worsening GLS in all layers, which remained significant after multivariable adjustment including SCORE chart risk factors. All layers of GLS were associated with high CACS in univariable analyses, which was consistent after multivariable adjustment (endocardial GLS: OR = 1.11 (1.03-1.20); whole-layer GLS: OR = 1.14 (1.04-1.24); epicardial GLS: OR = 1.16 (1.05-1.29), per 1% absolute decrease).

CONCLUSION

In this study population with patients suspected of CAD and normal systolic function, impaired layer-specific GLS was continuously associated with increasing CACS, and decreasing GLS in all layers were associated with presence of high CACS.

Berry Consumption in Relation to Allostatic Load in US Adults: The National Health and Nutrition Examination Survey, 2003-2010

INTRODUCTION

Berries are a rich source of antioxidant polyphenols and other nutrients that are associated with good health. Allostatic load (AL) is an aggregate measure of chronic stress-induced physiological dysregulations across cardiovascular, metabolic, autonomic, and immune systems; the extent of these dysregulations, collectively or in each system, can be characterized by a composite score or a domain score assessed by integrated biomarkers. It was hypothesized that the anti-inflammatory and other effects of berries lower AL. The association was determined between berry consumption and AL composite and domain scores in the 2003-2010 National Health and Nutrition Examination Survey (NHANES).

METHODS

Berry intake was measured using two 24 h dietary recalls collected from US adults in the 2003-2010 NHANES (n = 7684). The association with AL and its specific domains was examined using population weight-adjusted multivariable linear regression.

RESULTS

The mean AL composite scores for consumers of any berries (11.9), strawberries (11.6), and blueberries (11.6), respectively, were significantly lower than nonconsumers (12.3), after fully adjusting for sociodemographic, lifestyle, and dietary confounders. A significant dose-response relationship was determined between greater consumption of total berries, strawberries, and blueberries and lower mean AL composite scores (p-trend < 0.05, for all). Consistently, mean cardiovascular and metabolic domain scores remained significantly lower in the consumers of total berries (mean cardiovascular domain score: 4.73 versus 4.97 for nonconsumers; mean metabolic domain score: 2.97 versus 3.1), strawberries (4.73 versus 4.95; 2.99 versus 3.1), and blueberries (4.6 versus 4.95; 2.92 versus 3.11). Berry consumers also had significantly lower mean AL immune scores (1.52 versus 1.56) and lower mean AL autonomic scores (2.49 versus 2.57) than nonconsumers (initial sample: n = 15,620).

CONCLUSIONS

The current study indicates that consumption of berries lowers the AL composite scores and potentially reduces stress-related disease risks in the US adult population.

Bypass surgery versus endovascular revascularization for occlusive infrainguinal peripheral artery disease: a meta-analysis of randomized controlled trials for the development of the Italian Guidelines for the treatment of diabetic foot syndrome

To report a review and meta-analysis of all randomized controlled trials (RCTs) comparing bypass surgery (BS) and endovascular treatment (ET) in infrainguinal peripheral arterial disease (PAD) for several endpoints, such as major and minor amputation, major adverse limb events (MALEs), ulcer healing, time to healing, and all-cause mortality to support the development of the Italian Guidelines for the Treatment of Diabetic Foot Syndrome (DFS). A MEDLINE and EMBASE search was performed to identify RCTs, published since 1991 up to June 21, 2023, enrolling patients with lower limb ischemia due to atherosclerotic disease (Rutherford I-VI). Any surgical BS or ET was allowed, irrespective of the approach, route, or graft employed, from iliac to below-the-knee district. Primary endpoint was major amputation rate. Secondary endpoints were amputation-free survival major adverse limb events (MALEs), minor amputation rate, all-cause mortality, ulcer healing rate, time to healing, pain, transcutaneous oxygen pressure (TcPO2) or ankle-brachial index (ABI), quality of life, need for a new procedure, periprocedural serious adverse events (SAE; within 30 days from the procedure), hospital lenght of stay, and operative time. Twelve RCTs were included, one enrolled two separate cohorts of patients, and therefore, the studies included in the analyses were 13. Participants treated with ET had a similar rate of major amputations to participants treated with BS (MH-OR 0.85 [0.60, 1.20], p = 0.36); only one trial reported separately data on patients with diabetes (N = 1), showing no significant difference between ET and BS (MH-OR: 0.67 [0.09, 5.13], p = 0.70). For minor amputation, no between-group significant differences were reported: MH-OR for ET vs BS: 0.83 [0.21, 3.30], p = 0.80). No significant difference in amputation-free survival between the two treatment modalities was identified (MH-OR 0.94 [0.59, 1.49], p = 0.80); only one study reported subgroup analyses on diabetes, with a non-statistical trend toward reduction in favor of ET (MH-OR 0.62 [0.37, 1.04], p = 0.07). No significant difference between treatments was found for all-cause mortality (MH-OR for ET vs BS: 0.98 [0.80, 1.21], p = 0.88). A significantly higher rate of MALE was reported in participants treated with ET (MH-OR: 1.44 [1.05, 1.98], p = 0.03); in diabetes subgroup analysis showed no differences between-group for this outcome (MH-OR: 1.34 [0.76, 2.37], p = 0.30). Operative duration and length of hospital stay were significantly shorter for ET (WMD: - 101.53 [- 127.71, - 75.35] min, p < 0.001, and, - 4.15 [- 5.73, - 2.57] days, p < 0.001 =, respectively). ET was associated with a significantly lower risk of any SAE within 30 days in comparison with BS (MH-OR: 0.60 [0.42, 0.86], p = 0.006). ET was associated with a significantly higher risk of reintervention (MH-OR: 1.57 [1.10, 2.24], p = 0.01). No significant between-group differences were reported for ulcer healing (MH-OR: 1.19 [0.53, 2.69], p = 0.67), although time to healing was shorter (- 1.00 [0.18, 1.82] months, p = 0.02) with BS. No differences were found in terms of quality of life and pain. ABI at the end of the study was reported by 7 studies showing a significant superiority of BS in comparison with ET (WMD: 0.09[0.02; 0.15] points, p = 0.01). The results of this meta-analysis showed no clear superiority of either ET or BS for the treatment of infrainguinal PAD also in diabetic patients. Further high-quality studies are needed, focusing on clinical outcomes, including pre-planned subgroup analyses on specific categories of patients, such as those with diabetes and detailing multidisciplinary team approach and structured follow-up.

Development and validation of a clinical prediction model for detecting coronary heart disease in middle-aged and elderly people: a diagnostic study

OBJECTIVE

To develop and validate a multivariate prediction model to estimate the risk of coronary heart disease (CHD) in middle-aged and elderly people and to provide a feasible method for early screening and diagnosis in middle-aged and elderly CHD patients.

METHODS

This study was a single-center, retrospective, case-control study. Admission data of 932 consecutive patients with suspected CHD were retrospectively assessed from September 1, 2020 to December 31, 2021 in the Department of Integrative Cardiology at China-Japan Friendship Hospital. A total of 839 eligible patients were included in this study, and 588 patients were assigned to the derivation set and 251 as the validation set at a 7:3 ratio. Clinical characteristics of included patients were compared between derivation set and validation set by univariate analysis. The least absolute shrinkage and selection operator (Lasso) regression analysis method was performed to avoid collinearity and identify key potential predictors. Multivariate logistic regression analysis was used to construct a clinical prediction model with identified predictors for clinical practice. Bootstrap validation was used to test performance and eventually we obtained the actual model. And the Hosmer-Lemeshow test was carried out to evaluate the goodness-fit of the constructed model. The area under curve (AUC) of receiver operating characteristic (ROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were plotted and utilized with validation set to comprehensively evaluate the predictive accuracy and clinical value of the model.

RESULTS

A total of eight indicators were identified as risk factors for the development of CHD in middle-aged and elderly people by univariate analysis. Of these candidate predictors, four key parameters were defined to be significantly related to CHD by Lasso regression analysis, including age (OR 1.034, 95% CI 1.002 ~ 1.067, P = 0.040), hemoglobin A1c (OR 1.380, 95% CI 1.078 ~ 1.768, P = 0.011), ankle-brachial index (OR 0.078, 95% CI 0.012 ~ 0.522, P = 0.009), and brachial artery flow-mediated vasodilatation (OR 0.848, 95% CI 0.726 ~ 0.990, P = 0.037). The Hosmer-Lemeshow test showed a good calibration performance of the clinical prediction model (derivation set, χ2 = 7.865, P = 0.447; validation set, χ2 = 11.132, P = 0.194). The ROCs of the nomogram in the derivation set and validation set were 0.722 and 0.783, respectively, suggesting excellent predictive power and suitable performance. The clinical prediction model presented a greater net benefit and clinical impact based on DCA and CIC analysis.

CONCLUSION

Overall, the development and validation of the multivariate model combined the laboratory and clinical parameters of patients with CHD, which could be beneficial to the individualized prediction of middle-aged and elderly people, and helped to facilitate clinical assessments and decisions during treatment and management of CHD.

Standardized Radiomics Analysis of Clinical Myocardial Perfusion Stress SPECT Images to Identify Coronary Artery Calcification

PURPOSE

Myocardial perfusion (MP) stress single-photon emission computed tomography (SPECT) is an established diagnostic test for patients suspected of coronary artery disease (CAD). Meanwhile, coronary artery calcification (CAC) scoring obtained from diagnostic CT is a highly sensitive test, offering incremental diagnostic information in identifying patients with significant CAD yet normal MP stress SPECT (MPSS) scans. However, after decades of wide utilization of MPSS, CAC is not commonly reimbursed (e.g. by the CMS), nor widely deployed in community settings. We studied the potential of complementary information deduced from the radiomics analysis of normal MPSS scans in predicting the CAC score.

METHODS

We collected data from 428 patients with normal (non-ischemic) MPSS (99mTc-sestamibi; consensus reading). A nuclear medicine physician verified iteratively reconstructed images (attenuation-corrected) to be free from fixed perfusion defects and artifactual attenuation. Three-dimensional images were automatically segmented into four regions of interest (ROIs), including myocardium and three vascular segments (left anterior descending [LAD]-left circumference [LCX]-right coronary artery [RCA]). We used our software package, standardized environment for radiomics analysis (SERA), to extract 487 radiomic features in compliance with the image biomarker standardization initiative (IBSI). Isotropic cubic voxels were discretized using fixed bin-number discretization (eight schemes). We first performed blind-to-outcome feature selection focusing on a priori usefulness, dynamic range, and redundancy of features. Subsequently, we performed univariate and multivariate machine learning analyses to predict CAC scores from i) selected radiomic features, ii) 10 clinical features, and iii) combined radiomics + clinical features. Univariate analysis invoked Spearman correlation with Benjamini-Hotchberg false-discovery correction. The multivariate analysis incorporated stepwise linear regression, where we randomly selected a 15% test set and divided the other 85% of data into 70% training and 30% validation sets. Training started from a constant (intercept) model, iteratively adding/removing features (stepwise regression), invoking the Akaike information criterion (AIC) to discourage overfitting. Validation was run similarly, except that the training output model was used as the initial model. We randomized training/validation sets 20 times, selecting the best model using log-likelihood for evaluation in the test set. Assessment in the test set was performed thoroughly by running the entire operation 50 times, subsequently employing Fisher's method to verify the significance of independent tests.

RESULTS

Unsupervised feature selection significantly reduced 8×487 features to 56. In univariate analysis, no feature survived the false-discovery rate (FDR) to directly correlate with CAC scores. Applying Fisher's method to the multivariate regression results demonstrated combining radiomics with the clinical features to enhance the significance of the prediction model across all cardiac segments.  Conclusions: Our standardized and statistically robust multivariate analysis demonstrated significant prediction of the CAC score for all cardiac segments when combining MPSS radiomic features with clinical features, suggesting radiomics analysis can add diagnostic or prognostic value to standard MPSS for wide clinical usage.

The potential impact of computed tomography coronary calcium score screening on patients with dyslipidemia

Background

Coronary artery calcium (CAC) scoring helps determine whether patients with known coronary artery disease (CAD) should initiate medical management by predicting future cardiac event risk. CAC scoring is underutilized because many insurance companies consider it experimental. This study aimed to determine whether CAC screening of patients at risk for CAD is associated with decreased risk of myocardial infarction and improved survival.

Methods

The TriNetX research network was used for this study. Two cohorts of 86,574 patients aged 40 to 70 years were created. All patients were diagnosed with dyslipidemia and without CAD, and the cohorts were matched for demographics, comorbidities, and statin use. One cohort had been screened with CAC scoring while the other had not. The primary outcomes of this study were myocardial infarction and overall survival at 5 years.

Results

Screened patients had 44% fewer myocardial infarction events at 5 years with a 76% lower risk of death.

Conclusion

CAC scoring is associated with reduced risk of myocardial infarction and death in asymptomatic dyslipidemia patients and should be considered as a screening tool in these patients. The presumed mechanism for improved outcomes is that early identification of CAD results in earlier or more intensive treatment, reducing future cardiac event risk.

Undiagnosed cardiovascular risk factors including elevated lipoprotein(a) in patients with ischaemic heart disease

Objectives

This study aims to investigate the prevalence of undiagnosed cardiovascular risk factors in patients with ischaemic heart disease (IHD).

Methods

We assessed the prevalence of previously undiagnosed cardiovascular risk factors, including elevated lipoprotein(a) [Lp(a)], among consenting patients with IHD who were admitted to hospital. Clinical information, including dietary history, from patients with newly diagnosed IHD and known IHD were compared.

Results

Of the 555 patients, 82.3% were males and 48.5% of Chinese ethnicity. Overall, 13.3% were newly diagnosed with hypertension, 14.8% with hypercholesterolemia, and 5% with type 2 diabetes (T2DM). Patients with newly diagnosed IHD, compared to those with known IHD, had a higher prevalence of new diagnoses of hypercholesterolemia (29.1% vs. 2.0%, p < 0.001), hypertension (24.5% vs. 3.4%, p < 0.001) and T2DM (7.3% vs. 3.1%, p = 0.023). Active smoking was prevalent in 28.3% of patients, and higher in newly diagnosed IHD (34.1% vs. 23.2%, p = 0.005). Elevated Lp(a) of ≥120 nmol/L was detected in 15.6% of all patients, none of whom were previously diagnosed. Dietary habits of >50% of patients in both groups did not meet national recommendations for fruits, vegetables, wholegrain and oily fish intake. However, patients with known IHD had a more regular omega-3 supplement intake (23.4% vs. 10.3%, p = 0.024).

Conclusion

Increased detection efforts is necessary to diagnose chronic metabolic diseases (hypertension, hypercholesterolemia, T2DM) especially among patients at high risk for IHD. Cardiovascular risk factors, in particular elevated Lp(a), smoking, and suboptimal dietary intake in patients with IHD deserve further attention.

Effect of insulin resistance on CAC scores in cancer survivors

BACKGROUND

Many ca. survivors exhibit signs of IR, an important risk factor for the development of CAD. CAC scans offer a risk assessment of CV disease before cardiac damage has occurred. We investigated how IR affects CAC scores in cancer survivors.

OBJECTIVES

The aim of this study was to show that CAC scores differ significantly between insulin-sensitive- and -resistant cancer survivors.

METHODS

We enrolled 90 cancer survivors of a large community hospital from March 2021 to January 2022 into this pilot study. Patients were subdivided into three groups: insulin-sensitive (IS), insulin-resistant/prediabetic and insulin-resistant/diabetic. All patients received a CAC scan.

RESULTS

70% of asymptomatic survivors overall and 81% of asymptomatic IR patients show CAD on CAC scans. 17 CAC scans in the IS group, 6 CAC scans in the IR/prediabetic group and 5 CAC scans in the IR/diabetic group showed an Agatston score of 0. The p-value between the three groups was statistically significant (p = 0.005) whereas the IR/prediabetic- and the IR/diabetic group did not differ statistically from each other. The mean MESA 10-year CHD risk with CAC was 7.8. There was a highly significant difference between the 3 groups (p < 0.001). The two IR groups did not differ statistically (p = 0.076).

CONCLUSIONS

Survivors with IR including prediabetes have less frequent zero CAC scores than insulin-sensitive survivors. Our study also showed that IR including prediabetes significantly increases the MESA 10-yr. CHD Risk with CAC in cancer survivors. This trial highlights the importance of screening survivors for IR and draws attention to the association of IR to CAC not only in diabetes but also in prediabetes. The high fraction of asymptomatic survivors with CAD is concerning and calls for further investigation. CAC scans are an inexpensive and efficient way of screening asymptomatic cancer survivors for CAD.

Development of models to predict 10-30-year cardiovascular disease risk using the Da Qing IGT and diabetes study

BACKGROUND

This study aimed to develop cardiovascular disease (CVD) risk equations for Chinese patients with newly diagnosed type 2 diabetes (T2D) to predict 10-, 20-, and 30-year of risk.

METHODS

Risk equations for forecasting the occurrence of CVD were developed using data from 601 patients with newly diagnosed T2D from the Da Qing IGT and Diabetes Study with a 30-year follow-up. The data were randomly assigned to a training and test data set. In the training data set, Cox proportional hazard regression was used to develop risk equations to predict CVD. Calibration was assessed by the slope and intercept of the line between predicted and observed probabilities of outcomes by quintile of risk, and discrimination was examined using Harrell's C statistic in the test data set. Using the Sankey flow diagram to describe the change of CVD risk over time.

RESULTS

Over the 30-year follow-up, corresponding to a 10,395 person-year follow-up time, 355 of 601 (59%) patients developed incident CVD; the incidence of CVD in the participants was 34.2 per 1,000 person-years. Age, sex, smoking status, 2-h plasma glucose level of oral glucose tolerance test, and systolic blood pressure were independent predictors. The C statistics of discrimination for the risk equations were 0.748 (95%CI, 0.710-0.782), 0.696 (95%CI, 0.655-0.704), and 0.687 (95%CI, 0.651-0.694) for 10-, 20-, and 30- year CVDs, respectively. The calibration statistics for the CVD risk equations of slope were 0.88 (P = 0.002), 0.89 (P = 0.027), and 0.94 (P = 0.039) for 10-, 20-, and 30-year CVDs, respectively.

CONCLUSIONS

The risk equations forecast the long-term risk of CVD in patients with newly diagnosed T2D using variables readily available in routine clinical practice. By identifying patients at high risk for long-term CVD, clinicians were able to take the required primary prevention measures.

Use of artificial intelligence to assess the risk of coronary artery disease without additional (non-invasive) testing: validation in a low-risk to intermediate-risk outpatient clinic cohort

OBJECTIVES

Predicting the presence or absence of coronary artery disease (CAD) is clinically important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk scores used in the guidelines are not sufficiently accurate as the only guidance for applying invasive testing or discharging a patient. Artificial intelligence without the need of additional non-invasive testing is not yet used in this context, as previous results of the model are promising, but available in high-risk population only. Still, validation in low-risk patients, which is clinically most relevant, is lacking.

DESIGN

Retrospective cohort study.

SETTING

Secondary outpatient clinic care in one Dutch academic hospital.

PARTICIPANTS

We included 696 patients referred from primary care for further testing regarding the presence or absence of CAD. The results were compared with PTP and CAD2 using receiver operating characteristic (ROC) curves (area under the curve (AUC)). CAD was defined by a coronary stenosis >50% in at least one coronary vessel in invasive coronary or CT angiography, or having a coronary event within 6 months.

OUTCOME MEASURES

The first cohort validating the memetic pattern-based algorithm (MPA) model developed in two high-risk populations in a low-risk to intermediate-risk cohort to improve risk stratification for non-invasive diagnosis of the presence or absence of CAD.

RESULTS

The population contained 49% male, average age was 65.6±12.6 years. 16.2% had CAD. The AUCs of the MPA model, the PTP and the CAD2 were 0.87, 0.80, and 0.82, respectively. Applying the MPA model resulted in possible discharge of 67.7% of the patients with an acceptable CAD rate of 4.2%.

CONCLUSIONS

In this low-risk to intermediate-risk population, the MPA model provides a good risk stratification of presence or absence of CAD with a better ROC compared with traditional risk scores. The results are promising but need prospective confirmation.

Dose-Response Association of Low and Normal Ankle Brachial Index With the Risk of Cardiovascular Disease Morbidity and Mortality

We quantitatively evaluated the dose-response association of low and normal ankle brachial index (ABI) with the risk of morbidity and mortality from cardiovascular diseases (CVDs). PubMed, Embase, and Web of Science were systematically searched for cohort studies. Random effects or fixed effects models were used to estimate the pooled relative risks (RRs) and 95% confidence intervals (95% CIs). Generalized least squares regression was used to assess study-specific dose-response associations per 0.1 ABI decrease. Restricted cubic splines were used to evaluate linear or nonlinear trends. Twelve cohort studies (57 031 participants) were included in this meta-analysis. For low vs normal ABI levels, the pooled RRs were 2.03 (95% CI, 1.72-2.41; I² = 52.9%; p_{heterogeneity}=0.030) and 2.29 (95% CI, 1.98-2.64; I² = 39.5%; p_{heterogeneity} =0.158) for CVD morbidity and CVD mortality, respectively. For per 0.1 ABI decrease from 1.40 the risk for CVD morbidity and CVD mortality increased by 8% (1.08, 95% CI 1.04-1.11) and 11% (1.11, 95% CI 1.07-1.15), respectively. Restricted cubic splines showed inverse linear associations for CVD morbidity and CVD mortality. As a non-invasive index, lower ABI was significantly associated with the increased risk of morbidity and mortality from CVDs in an inverse linear manner.

The Prognostic Value of Coronary Arteries Calcium Scoring in a Primary Health Care Setting in Riyadh, Saudi Arabia: A Retrospective Cohort Study

BACKGROUND/PURPOSE

Coronary Artery Calcium Scoring (CACS) by CT, the American Atherosclerotic Cardiovascular Disease (ASCVD) Score, and the British Cardiovascular Risk (QRISK2) score are the most frequently used cardiovascular risk stratification scores to predict cardiac outcomes and aid in the decision of implementing preventative and/or interventional measures. The aim of this study is to assess CACS, ASCVD score, QRISK2 score, and their capacity to predict cardiovascular events among family medicine patients in King Faisal Specialist Hospital and Research Centre (KFSH&RC), Riyadh, Saudi Arabia.

METHODOLOGY

All medical records of patients (18 years and above) who had a CACS done in Family Medicine Clinics at KFSH&RC from January 2010 to March 2018 were reviewed, retrospectively. The study variables included demographics, comorbidities, CACS, ASCVD Score, QRISK2 score, and cardiovascular events.

RESULTS

We included 218 patients. Our study population included: 77% men, a mean age of 51 years (SD±8), and a mean BMI of 29 kg/m2 (SD±5). CACS was significantly associated with coronary events (p-value < .05). There was significant association between high CACS (>400) and family history of cardiac disease (p-value = .006), prior cardiovascular events (p-value = .01) and advancing age (p-value < .001). High concordance was found between QRISK2 score and CACS (90.6%), and moderate concordance between ASCVD score and CACS (69.4%). Moderate concordance was found between ASCVD score and QRISK2 score (74.3%). The majority of the subjects (88%) fell into the low-risk group (CACS <100) with (63%) having a CACS of zero.

CONCLUSION

QRISK2 cardiac assessment tool provides better risk assessment and higher concordance with CACS. To improve cost-effectiveness and minimize unnecessary radiation exposure, QRISK2 scoring should be implemented for initial cardiovascular risk stratification prior to ordering the CACS imaging modality.

Causal Relationship of Coronary Artery Calcium on Myocardial Infarction and Preventive Effect of Antiplatelet Therapy

Background

The role of coronary artery calcium score (CACS) to guide antiplatelet therapy in order to prevent myocardial infarction (MI) is still uncertain. This study aimed to find the causal relationship of CACS on MI and preventive effect of antiplatelet therapy.

Methods

From 2005 to 2013, all patients with cardiovascular risk factors or symptoms of suspected CAD underwent coronary computed tomography. CACSs were measured using Agatston method and stratified into 4 groups: 0, 1–99, 100–399, and ≥ 400. Antiplatelet therapy was prescribed following physician discretion. Outcomes of interest were MI and bleeding. A mediation analysis was applied to find association pathways. CACS was considered as an independent variable, whereas antiplatelet therapy was considered as a mediator and MI considered the outcome of interest.

Results

A total of 7,849 subjects were enrolled. During an average of 9.9 ± 2.4 years follow-up, MI and bleeding events occurred in 2.24% (n = 176) and 2.82% (n = 221) of subjects, respectively. CACSs 100–399 and CAC ≥ 400 were significantly associated with the development of MI [OR 3.14 (1.72, 5.72), and OR 3.22 (1.66, 6.25), respectively, p < 0.001]. Antiplatelet therapy reduced the risk of MI of these corresponding CAC groups with ORs of 0.60 (0.41, 0.78) and 0.56 (0.34, 0.77), p < 0.001]. A risk of bleeding was associated with antiplatelet therapy (only aspirin), anticoagulant, hypertension, male gender and old age.

Conclusion

CACS was associated with the development of future MI. The preventive effect of antiplatelet therapy was clearly demonstrated in subjects with CACSs equal to or above 100, but this benefit was partially offset by an increased risk of bleeding.

Correlation between Coronary Artery Calcium- and Different Cardiovascular Risk Score-Based Methods for the Estimation of Vascular Age in Caucasian Patients

Vascular age can be derived from cardiovascular (CV) risk scores such as the Framingham Risk Score (FRS) and the Systematic Coronary Risk Evaluation (SCORE). Recently, coronary artery calcium score (CACS) was proposed as a means of assessing arterial age. We aimed to compare these approaches for the assessment of vascular age. FRS-, SCORE-, and CACS-based vascular ages of 241 consecutive Caucasian patients undergoing coronary CT angiography were defined according to previously published methods. Vascular ages based on FRS, SCORE, and CACS were 68.0 (IQR: 55.0–82.0), 63.0 (IQR: 53.0–75.0), and 47.1 (IQR: 39.1–72.3) years, respectively, (p < 0.001). FRS- and SCORE-based biological age showed strong correlation [ICC: 0.91 (95%CI: 0.88–0.93)], while CACS-based vascular age moderately correlated with FRS- and SCORE-based vascular age [ICC: 0.66 (95%CI: 0.56–0.73) and ICC: 0.65 (95%CI: 0.56–0.73), respectively, both p < 0.001)]. Based on FRS, SCORE, and CACS, 83.4%, 93.8%, and 42.3% of the subjects had higher vascular age than their documented chronological age (FRS+, SCORE+, CACS+), and 53.2% of the FRS+ (107/201) and 57.1% of the SCORE+ (129/226) groups were classified as CACS-. Traditional risk equations demonstrate a tendency of overestimating vascular age in low- to intermediate-risk patients compared to CACS. Prospective studies are warranted to further evaluate the contribution of different vascular age calculations to CV preventive strategies.

Innovative Approaches to Assess Intermediate Cardiovascular Risk Subjects: A Review From Clinical to Metabolomics Strategies

Current risk stratification strategies for coronary artery disease (CAD) have low predictive value in asymptomatic subjects classified as intermediate cardiovascular risk. This is relevant because not all coronary events occur in individuals with traditional multiple risk factors. Most importantly, the first manifestation of the disease may be either sudden cardiac death or acute coronary syndrome, after rupture and thrombosis of an unstable non-obstructive atherosclerotic plaque, which was previously silent. The inaccurate stratification using the current models may ultimately subject the individual to excessive or insufficient preventive therapies. A breakthrough in the comprehension of the molecular mechanisms governing the atherosclerosis pathology has driven many researches toward the necessity for a better risk stratification. In this Review, we discuss how metabolomics screening integrated with traditional risk assessments becomes a powerful approach to improve non-invasive CAD subclinical diagnostics. In addition, this Review highlights the findings of metabolomics studies performed by two relevant analytical platforms in current use-mass spectrometry (MS) hyphenated to separation techniques and nuclear magnetic resonance spectroscopy (NMR) -and evaluates critically the challenges for further clinical implementation of metabolomics data. We also discuss the modern understanding of the pathophysiology of atherosclerosis and the limitations of traditional analytical methods. Our aim is to show how discriminant metabolites originated from metabolomics approaches may become promising candidate molecules to aid intermediate risk patient stratification for cardiovascular events and how these tools could successfully meet the demands to translate cardiovascular metabolic biomarkers into clinical settings.

The Association of Cardio-Ankle Vascular Index and Ankle-Brachial Index in Patients with Peripheral Arterial Disease

Introduction

The cardio-ankle vascular index (CAVI) is a well-known index to evaluate arterial stiffness and predict cardiovascular risk.

Methods

We investigated whether CAVI can predict severity and extent of peripheral arterial disease. This study was a single-center, retrospective, observational study approved by the Ethics Committee of Yokohama Shintoshi Neurosurgical Hospital. A total of 96 patients (males, 63) with an abnormal ankle-brachial blood pressure index (ABI) of <0.9 and who underwent extremity arteriography at our hospital from 2015 to 2018 were enrolled in this study. We defined that CAVI with a range of <8.0 was normal.

Results

Coronary angiography and extremity arteriography were performed for patients who had intermittent claudication and abnormal ABI. We divided the affected limbs into 3 categories: above-the-knee artery stenosis, above-the-knee artery chronic total occlusion, and only below-the-knee artery stenosis/occlusion groups. CAVI pseudonormalization was seen in 28, 76, and 19%, respectively. The above-the-knee artery stenosis and the only below-the-knee artery stenosis/occlusion groups had a high odds ratio of abnormalization of CAVI (3.1, 95% confidence interval [CI]: 1.39-7.22; p = 0.05, 4.56, 95% CI: 1.64-14.7).

Discussion/Conclusion

In the presence of the above-the-knee artery chronic total occlusion, CAVI pseudonormalization was likely to be seen. The presence of CTO in the above-the-knee artery is one cause of pseudonormalized CAVI. In the range of ABI, in which stenotic lesions and obstructive lesions coexist, it may be possible to detect the existence of CTO by a combination of both ABI and CAVI.

Autonomic response of gradient exercise testing protocol in normotensive, overweight, and pre-hypertensive individuals: a prospective, observational, and analytical study

Abstract

Background

Coronary artery disease (CAD) is increasing day by day in young Indian population with increase in risk factors such as obesity, hypertension etc. Although in early age, these risk factors are clinically asymptomatic but physiologically they are symptomatic. These symptoms can be best assessed by assessing the response of autonomic nervous system Therefore the purpose of this study was to compare the autonomic response of gradient exercise testing protocol in normotensive, overweight, and pre-hypertensive subjects in the form of chronotropic response to exercise, inotropic reponse, heart rate recovery, blood pressure recovery, BRPE, and heart rate variability so that the physiological abnormalities can be corrected.

Results

There were significant differences (p < 0.05) found in gradient exercise testing protocol in diastolic blood pressure in normotensive, in heart rate variability in overweight and in both systolic as well as diastolic blood pressure in pre-hypertensive subjects.

Conclusion

Gradient exercise testing protocol can be best utilized as a clinical tool in normotensive, overweight, and pre-hypertensive subjects for the assessment of autonomic nervous system which provides diagnostic and prognostic information regarding cardiovascular disease or abnormalities.

Coronary artery calcium score: pivotal role as a predictor for detecting coronary artery disease in symptomatic patients

Chest pain and dyspnea are common presentations for symptomatic individuals with suspected coronary artery disease (CAD) in the primary care office and cardiology clinics. However, it is imperative to properly diagnose who should undergo further evaluation for cardiac etiologies of chest pain, with either noninvasive or invasive imaging tests. The purpose of this review is to highlight the role of coronary artery calcium (CAC) score as a screening tool for symptomatic patients to detect CAD. The purpose of CAC scoring is to establish the presence and severity of coronary atherosclerosis that can play a vital role in symptomatic patients. The use of CAC testing in symptomatic patients has traditionally been limited due to fundamental concerns, including the occurrence of coronary calcification relatively late in the atherosclerotic process and high prevalence of CAC in the population. Further issue relates to its low specificity for obstructive CAD, as well as demonstration of significant ethnic variability in plaque composition and calcification patterns. CAC testing gained attention as an inexpensive, rapid, reproducible and a well-tolerated alternative to exclude CAD in symptomatic patients and defer further invasive imaging tests. This article will review the available literature in regard to the use of CAC in symptomatic populations.

Atherogenic indices in clinical practice and biomedical research: A short review

Cardiovascular diseases (CVD) represent a major cause of mortality and morbidity worldwide. To date, many physicians still requesting traditional lipid profile tests (TG, TC, HDL-C, and LDL-C) to confirm the clinical diagnosis related to CVD. However, using these tests may be inadequate for the prediction of CVD risk, especially in intermediate risk. For better clinical practice, laboratory diagnostic alternatives should constantly be evaluated and developed by physicians and laboratory scientists. In this review, we sought to focus on the benefits of lipid ratios (CRI-, CRI-II, AIP, AC, and CHOLindex) in supporting clinical diagnosis and how they can be calculated. To attain this aim, a literature search in reputed databases (PubMed and Scopus) was performed and peer-reviewed research articles were included to conduct this review. Short theoretical and practical notes about each index were accordingly included along with calculation formulas. Thus, the current article can assist new researchers and young physicians to review what supports their knowledge in managing early CVDs.    

Coronary artery calcium score and risk of cardiovascular events without established coronary artery disease: a systemic review and meta-analysis

BACKGROUND

Coronary artery calcium (CAC) is an indicator of atherosclerosis, and the CAC score is a useful noninvasive assessment of coronary artery disease.

OBJECTIVE

To compare the risk of cardiovascular outcomes in patients with CAC > 0 versus CAC = 0 in asymptomatic and symptomatic population in patients without an established diagnosis of coronary artery disease.

METHODS

A systematic search of electronic databases was conducted until January 2018 for any cohort study reporting cardiovascular events in patients with CAC > 0 compared with absence of CAC.

RESULTS

Forty-five studies were included with 192 080 asymptomatic 32 477 symptomatic patients. At mean follow-up of 11 years, CAC > 0 was associated with an increased risk of major adverse cardiovascular and cerebrovascular events (MACE) compared to a CAC = 0 in asymptomatic arm [pooled risk ratio (RR) 4.05, 95% confidence interval (CI) 2.91-5.63, P < 0.00001, I2 = 80%] and symptomatic arm (pooled RR 6.06, 95% CI 4.23-8.68, P < 0.00001, I2 = 69%). CAC > 0 was also associated with increased risk of all-cause mortality in symptomatic population (pooled RR 7.94, 95% CI 2.61-24.17, P < 0.00001, I2 = 85%) and in asymptomatic population CAC > 0 was associated with higher all-cause mortality (pooled RR 3.23, 95% CI 2.12-4.93, P < 0.00001, I2 = 94%). In symptomatic population, revascularization in CAC > 0 was higher (pooled RR 15, 95% CI 6.66-33.80, P < 0.00001, I2 = 72) compared with CAC = 0. Additionally, CAC > 0 was associated with more revascularization in asymptomatic population (pooled RR 5.34, 95% CI 2.06-13.85, P = 0.0006, I2 = 93). In subgroup analysis of asymptomatic population by gender, CAC > 0 was associated with higher MACE (RR 6.39, 95% CI 3.39-12.84, P < 0.00001).

CONCLUSION

Absence of CAC is associated with low risk of cardiovascular events compared with any CAC > 0 in both asymptomatic and symptomatic population without coronary artery disease.

Utility of Coronary Artery Calcium Scores in Predicting Risk of Subclinical Cardiovascular Atherosclerotic Disease: An Analysis of Limitations to its Adoption With Policy Recommendations

This survey-based analysis aims to highlight key limitations to a wider adoption of coronary artery calcium (CAC) scoring as a means of screening asymptomatic individuals for atherosclerotic cardiovascular disease. The need for a screening tool that adds objective anatomical information to historically established risk scores in the aforementioned population has been met by this imaging modality. Despite that, there has been a hesitance towards frequent usage of these scans. Within the pre-set sampling frame of the University of Toledo, a convenience sampling technique was used to reach out to 60 health care providers. The resultant responses were analyzed and discussed. In addition to identifying patients who need to be worked up further, CAC scans can also help re-stratify patients within-risk groups and inform decision-making regarding the use of lipid-lowering therapies. The public health impact of a greater but appropriate utilization of this diagnostic tool will be impactful. This analysis seeks to better understand real-life obstacles to a wider adoption of these scans and attempts to lay out policy recommendations to address these issues.

Novel molecular markers of cardiovascular disease risk in type 2 diabetes mellitus

Diabetes represents the leading risk factor for the development of cardiovascular disease (CVD). Chronic hyperglycemia and/or acute post-prandial changes in blood glucose determine an increase in reactive oxygen species (ROS), which play a fundamental role in endothelial dysfunction and in the nuclear transport of pro-atherogenic transcription factors that activate the "inflammasome". In addition, the glycemic alteration favors the formation and stabilization of atherosclerotic plaque through the mechanism of non-enzymatic glycation of different molecules, with the establishment of the so-called "advanced glycosylation end products" (AGE). Laboratory information provided by the level of biomarkers could make a quantitative and qualitative contribution to the clinical process of screening, prediction, prevention, diagnosis, prognosis and monitoring of cardiovascular (CV) risk linked to diabetes. This review describes the importance of specific biomarkers, with particular focus on novel ones, for stratifying and management of diabetes CV risk.

Association and Prediction of Subclinical Atherosclerosis by Nonalcoholic Fatty Liver Disease in Asymptomatic Patients

Background

The prevalence of nonalcoholic fatty liver disease (NAFLD) has been increasing in the general population. This study evaluated the association between NAFLD and significant coronary stenosis in asymptomatic adults and evaluated sex-based differences.

Methods

We performed a retrospective cross-sectional study in participants without previous cardiovascular diseases who visited the Seoul National University Hospital Health Promotion Center for a health checkup between January 1, 2010, and December 31, 2015. NAFLD was diagnosed on sonography, while coronary artery stenosis (CAS) was assessed on coronary computed tomography angiography (CCTA).

Results

We obtained 3,693 participants who met the inclusion criteria, and 3,449 of them had no significant stenosis. Among the participants with significant stenosis, the prevalence of NAFLD was 59.4% (145 patients). The prevalence of NAFLD was 47.26% in male participants, which was higher than that in female participants. The association between NAFLD and significant CAS persisted after adjusting for age, body mass index, glycated hemoglobin, and Framingham risk factors. The correlation between NAFLD and significant coronary stenosis appeared to be stronger in women than in men, but the absolute risk was higher in men than in women.

Conclusion

NAFLD was strongly associated with CAS. We should be alert about an increased cardiovascular risk in patients with NAFLD and more intensively provide primary prevention by performing tests to detect subclinical atherosclerosis.

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms

Purpose

To evaluate high accumulation of coronary artery calcium (CAC) from retinal fundus images with deep learning technologies as an inexpensive and radiation-free screening method.

Methods

Individuals who underwent bilateral retinal fundus imaging and CAC score (CACS) evaluation from coronary computed tomography scans on the same day were identified. With this database, performances of deep learning algorithms (inception-v3) to distinguish high CACS from CACS of 0 were evaluated at various thresholds for high CACS. Vessel-inpainted and fovea-inpainted images were also used as input to investigate areas of interest in determining CACS.

Results

A total of 44,184 images from 20,130 individuals were included. A deep learning algorithm for discrimination of no CAC from CACS >100 achieved area under receiver operating curve (AUROC) of 82.3% (79.5%–85.0%) and 83.2% (80.2%–86.3%) using unilateral and bilateral fundus images, respectively, under a 5-fold cross validation setting. AUROC increased as the criterion for high CACS was increased, showing a plateau at 100 and losing significant improvement thereafter. AUROC decreased when fovea was inpainted and decreased further when vessels were inpainted, whereas AUROC increased when bilateral images were used as input.

Conclusions

Visual patterns of retinal fundus images in subjects with CACS > 100 could be recognized by deep learning algorithms compared with those with no CAC. Exploiting bilateral images improves discrimination performance, and ablation studies removing retinal vasculature or fovea suggest that recognizable patterns reside mainly in these areas.

Translational Relevance

Retinal fundus images can be used by deep learning algorithms for prediction of high CACS.

Cardiorespiratory fitness improves prediction of mortality of standard cardiovascular risk scores in a Latino population

Background

Cardiorespiratory fitness (CRF) is a powerful predictor of mortality. This study evaluated the predictive value of CRF for mortality in Chilean subjects without atherosclerotic disease compared with the Framingham, European Systematic Coronary Risk Evaluation (SCORE), and 2013 ACC/AHA risk scores and determined the incremental predictive value of CRF when added to these scores.

Hypothesis

CRF improves prediction of all‐cause and cardiovascular disease (CVD)‐related mortality of the standard international risk scores.

Methods

Cross‐sectional study, which evaluated 4064 subjects between 2002 and 2016. Cardiovascular (CV) risk factors, anthropometric and biochemical parameters, and blood pressure were measured. CRF was determined by metabolic equivalents during maximum stress test. The Framingham, SCORE, and ACC/AHA risk scores were calculated for all subjects. After a median follow‐up of 9 years, all‐cause and CVD‐related mortality were assessed. Receiver operating curves were built to determine mortality prediction for CRF, the risk scores, and CRF added to the scores.

Results

As of August 2016, 99 deaths were reported, 33 of which were CVD‐related. All risk scores and CRF predicted CVD‐related mortality, with CRF identified as the best predictor: CRF: C = 0.88 (95% CI: 0.82‐0.93) vs Framingham: C = 0.68 (95% CI: 0.60‐0.76), SCORE: C = 0.76 (95% CI: 0.70‐0.83), and ACC/AHA: C = 0.79 (95% CI: 0.73‐0.85). Predictive power of the three scores improved when CRF was added to the model, but this was only significant for the Framingham score.

Conclusions

CRF is a good predictor of both, all‐cause and CV mortality and a better predictor of CVD‐related deaths than standard risk scores in this population.

Vascular Age as a Cardiovascular Risk Marker in Asymptomatic Patients with Type 2 Diabetes

AIM

There is a wide variety of cardiovascular outcomes in patients with type 2 diabetes (T2DM), even in asymptomatic individuals. Carotid intima-media thickness (CIMT) is a marker of subclinical atherosclerosis and can be considered as a predictor of cardiovascular risk (CVR). The aim of this study was to evaluate the relationship between CIMT-determined vascular age (VA), CVR scores, and thyroid function in asymptomatic patients with T2DM.

PATIENTS AND METHODS

Clinical laboratory and CIMT parameters were measured in 154 asymptomatic patients with T2DM. The Framingham risk score (FRS) was performed with chronological age (CA) and with VA. A multinomial logistic regression model was used to analyze variables related to CVR reclassification.

RESULTS

The use of CIMT-determined VA led to the reclassification of 54 (35.52%) out of 152 asymptomatic T2DM patients, being 20 (37.03%) to a lower categorical risk and 34 (62.96%) to a higher categorical risk according to FRS. The variables that were associated to reclassification to a higher categorical risk were positive family history (FH) of premature coronary artery disease (p=0.046), FH of thyroid disease (p=0.010), use of statins (p=0.027), and free T4 levels (p=0.009).

CONCLUSION

VA determined from CIMT allowed the reclassification of the CVR in asymptomatic T2DM patients. FH of premature CAD, FH of known thyroid disease, use of statins, and free T4 levels were associated to a reclassification into a higher risk category. The use of doppler to perform CIMT measure is currently more accessible, especially in a low-middle income country like Brazil. However, further prospective studies must be performed to establish the predictive values of CIMT on atherosclerosis and how thyroid function acts like cardiovascular risk marker on CVR scores.

CMR based measurement of aortic stiffness, epicardial fat, left ventricular myocardial strain and fibrosis in hypertensive patients

Introduction

A combined assessment of different parameters of cardiovascular (CV) risk and prognosis can be supportive and performed with cardiac magnetic resonance (CMR). Aortic stiffness, epicardial fat volume (EFV), left ventricular (LV) strain and fibrosis were evaluated within a single CMR examination and results were related to the presence of hypertension (HTN) and diabetes mellitus (DM).

Methods

20 healthy controls (57.2 ± 8.2 years(y); 26.2 ± 3.9 kg/m²), 31 hypertensive patients without DM (59.6 ± 6.7 y; 28.4 ± 4.7 kg/m²) and 12 hypertensive patients with DM (58.8 ± 9.9y; 30.7 ± 6.3 kg/m²) were examined at 1.5Tesla. Aortic stiffness was evaluated by calculation of aortic pulse wave velocity (PWV), EFV by a 3D-Dixon sequence. Longitudinal & circumferential systolic myocardial strain (LS; CS) were analyzed and T1-relaxation times (T1) were determined to detect myocardial fibrosis.

Results

EFV was highest in hypertensive patients with diabetes (78.4 ± 28.0 ml/m²) followed by only hypertensive patients (64.2 ± 27.3 ml/m²) and lowest in controls (50.3 ± 22.7 ml/m²; p < 0.05). PWV was higher in hypertensive patients with diabetes (9.8 ± 3.3 m/s) compared to only hypertensive patients (8.6 ± 1.7 m/s; p < 0.05) and to controls (8.1 ± 1.9 m/s; p < 0.05). LS&CS were worse in hypertensive patients with diabetes (LS:-20.9 ± 5.1% and CS: -24.4 ± 5.7%) compared to both only hypertensive patients (LS: -24.7 ± 4.6%; CS: -27.1 ± 5.0%; p < 0.05) and to controls (LS: -25.5 ± 3.8; CS: -28.3 ± 4.1%; p < 0.05). Both hypertensive groups with and without DM had higher T1́s (994.0 ± 43.2 ms; 991.6 ± 35.5 ms) than controls (964.6 ± 40.3 ms; p < 0.05).

Conclusion

CMR revealed increased aortic stiffness and EFV in hypertensive patients, which were even higher in the presence of DM. Also signs of LV myocardial fibrosis and a reduced strain were revealed. These parameters support the assessment of CV risk and prognosis. They can accurately be measured with CMR within a single examination when normally different techniques are needed.

[The future of computer-aided diagnostics in chest computed tomography]

Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. The primary condition for machine learning is met because medical diagnostic images have high reproducibility. Today, the most common anatomic area for computed tomography is the thorax, particularly with the widespread lung cancer screening programs using low-dose computed tomography. In this regard, the amount of information that needs to be processed by a radiologist is snowballing. Thus, automatic image analysis will allow more studies to be interpreted. This review is aimed at highlighting the possibilities of machine learning in the chest computed tomography.

Rationale and Design of the Hamburg City Health Study

The Hamburg City Health Study (HCHS) is a large, prospective, long-term, population-based cohort study and a unique research platform and network to obtain substantial knowledge about several important risk and prognostic factors in major chronic diseases. A random sample of 45,000 participants between 45 and 74 years of age from the general population of Hamburg, Germany, are taking part in an extensive baseline assessment at one dedicated study center. Participants undergo 13 validated and 5 novel examinations primarily targeting major organ system function and structures including extensive imaging examinations. The protocol includes validate self-reports via questionnaires regarding lifestyle and environmental conditions, dietary habits, physical condition and activity, sexual dysfunction, professional life, psychosocial context and burden, quality of life, digital media use, occupational, medical and family history as well as healthcare utilization. The assessment is completed by genomic and proteomic characterization. Beyond the identification of classical risk factors for major chronic diseases and survivorship, the core intention is to gather valid prevalence and incidence, and to develop complex models predicting health outcomes based on a multitude of examination data, imaging, biomarker, psychosocial and behavioral assessments. Participants at risk for coronary artery disease, atrial fibrillation, heart failure, stroke and dementia are invited for a visit to conduct an additional MRI examination of either heart or brain. Endpoint assessment of the overall sample will be completed through repeated follow-up examinations and surveys as well as related individual routine data from involved health and pension insurances. The study is targeting the complex relationship between biologic and psychosocial risk and resilience factors, chronic disease, health care use, survivorship and health as well as favorable and bad prognosis within a unique, large-scale long-term assessment with the perspective of further examinations after 6 years in a representative European metropolitan population.

Potential Gains of Screening Family Members of Suspected Coronary Artery Disease: A Pilot Study

Background:

Early diagnosis of asymptomatic coronary artery disease (CAD) is presently targeted in preventive cardiology. A positive family history though not modifiable can provide a window of opportunity for intervening on modifiable risk factors. We assessed the prevalence of risk factors among the family members of suspected CAD patients and estimated their 10 years CAD risk.

Methods:

In a hospital-based cross-sectional study, socio-demographic, personal data and blood samples for total and HDL cholesterol were collected. The risk of having a heart attack in the next 10 years was calculated using Framingham Risk Score.

Results:

The mean age of participants (n = 60) was 40.55 ± 1.78 years. 85% were physically inactive. Smoking (13%), alcohol use (12%), history of CAD (2%), HTN (12%) and diabetes (22%) were the observed risk factors. A family history of CAD at <40 years of age was reported by 7% of subjects. Prevalence of overweight was 21% and 11% were obese. Increased waist-hip ratio (43%), diabetes (22%), hypercholesterolemia (28%), reduced HDL Cholesterol (48%) were other prevalent risk factors. Risk of CAD of >1% in the next 10 years was noted among 60% of subjects.

Conclusions:

Window of opportunity for secondary prevention exists among the family members of suspected CAD.

Association of interarm blood pressure difference with cardio-cerebral vascular disease: A community-based, cross-sectional study

Interarm blood pressure difference (IAD) is a risk factor for peripheral artery disease and cardio-cerebral vascular disease (CCVD). The current study examines the association of IAD with stroke and coronary heart disease in a Chinese community. A cross-sectional study was conducted in Pudong New Area in Shanghai, China. A total of 10 657 residents aged 15 years and older were randomly selected through three-stage sampling. Volunteers had systolic and diastolic blood pressure (BP) measured in both arms at recruitment, and IAD was defined in both arms as the absolute difference in BP. Medical records of study participants were reviewed by investigators to confirm measurements. Logistic regression models were used to assess the association between systolic interarm blood pressure difference (sIAD) and diastolic interarm blood pressure difference (dIAD) with stroke and coronary heart disease. Compared with dIAD <5 mm Hg, the multivariate adjusted odds ratio (OR) of stroke prevalence was 1.357 (95% CI 0.725-2.542, P = 0.034) for dIAD ≥20 mm Hg and 1.702 (95% CI1.025-2.828, P = 0.040) for dIAD between 15 and 19 mm Hg, and the multivariate adjusted OR of coronary heart disease prevalence was 1.726 (95% CI 1.093-2.726, P = 0.019) for dIAD ≥20 mm Hg and 1.498 (95% CI 0.993-2.261, P = 0.044) for dIAD between 15 and 19 mm Hg. The relationship between cardio-cerebral vascular disease and dIAD was significant in a Chinese community population. Further cohort studies are needed to investigate the association of different levels of IAD with the incidence of cardiovascular and cerebrovascular diseases and subsequent mortality.

MicroRNA-125b in vascular diseases: An updated systematic review of pathogenetic implications and clinical applications

Epigenetic changes, particularly non‐coding RNAs, have been implicated extensively in the pathogenesis of vascular diseases. Specific miRNAs are involved in the differentiation, phenotypic switch, proliferation, apoptosis, cytokine production and matrix deposition of endothelial cells and/or vascular smooth muscle cells. MicroRNA‐125b has been studied in depth for its role in carcinogenesis with a double‐edged role; that is, it can act as an oncogene in some cancer types and as a tumour suppressor gene in others. However, cumulative evidence from the use of advanced miRNA profiling techniques and bioinformatics analysis suggests that miR‐125b can be a potential mediator and useful marker of vascular diseases. Currently, the exact role of miR‐125b in vascular diseases is not known. In this systematic review, we intend to provide an updated compilation of all the recent findings of miR‐125b in vascular diseases, using a systematic approach of retrieving data from all available reports followed by data summarization. MiR‐125b serves as a pathogenic player in multiple vascular pathologies involving endothelia and vascular smooth muscle cells and also serves as a diagnostic marker for vascular diseases. We further provide a computational biologic presentation of the complex network of miR‐125b and its target genes within the scope of vascular diseases.

The role of cardiorespiratory fitness on the risk of sudden cardiac death at the population level: A systematic review and meta-analysis of the available evidence

Cardiorespiratory fitness (CRF) has been widely studied as a powerful and independent predictor of all-cause and disease-specific mortality. Sudden cardiac death (SCD) is recognized as a significant cause of mortality among the general population, including the general population without previous symptoms of any coronary heart disease (CHD). Consequently, SCD is an important public health problem, which constitutes a clinical challenge. Thus, prevention of SCD by detecting early risk factors could be a useful tool, contributing to the American Heart Association's goal of decreasing the incidence of SCD at the population level. The identification of these risk factors for CVD would facilitate the large-scale screening of those participants at higher risk of SCD. This systematic review collects information about the role of CRF on the risk of SCD at the available evidence, and analyzes the long-term influence of CRF as a risk factor and independent predictor of SCD.

Usefulness of a Coronary Artery Disease Predictive Algorithm to Predict Global Risk for Cardiovascular Disease and Acute Coronary Syndrome

Traditional global risk assessment for cardiovascular disease fails to identify a significant percentage of the population initially classified at low or intermediate risk of cardiovascular disease that are actually at high risk for acute coronary syndrome (ACS). We examined a coronary artery disease predictive algorithm (CADPA) that includes 9 biomarkers involved in the pathogenesis of atherosclerosis initiated by endothelial damage and repair (hepatocyte growth factor, soluble FAS, Fas ligand, eotaxin, cutaneous T cell-attracting chemokine, monocyte chemotactic protein-3, interleukin-16, hemoglobin A1c, high-density lipoprotein-cholesterol), in addition to age, gender, diabetes, and family history of myocardial infarction that more accurately predicts 5-year risk of ACS to identify the patient population at discordantly high risk. We found that 34% of patients at low risk by global risk assessment and 72% of patients at intermediate risk by global risk assessment were actually at discordantly high risk for ACS. This patient population was disproportionately male and older in age. The biomarkers (per standard deviation) that most predicted the odds (95% confidence levels) of discordance were interleukin-16 (2.59 [2.21 to 3.03]), Fas Ligand (0.50 [0.43 to 0.57]), hepatocyte growth factor (1.72 [1.50 to 1.98]), soluble FAS (2.19 [1.86 to 2.58]), cutaneous T cell-attracting chemokine (0.46 [0.40 to 0.53]), and eotaxin (1.78 [1.56 to 2.03]), in addition to age, HbA1c, low-density lipoprotein-cholesterol, and glycated hemoglobin. In conclusion, although future prospective study validation is needed to establish a causal relation between CADPA and cardiovascular events, our study defines a patient population considered low to intermediate risk by conventional clinical evaluation, but who is at discordantly high risk indicated by the endothelial injury serum biomarker algorithm CADPA and may benefit from further evaluation and medical management.

Screening of Cardiovascular Disease in Nonalcoholic Fatty Liver Disease: Whom and How?

Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide. Patients with NAFLD are at a higher risk of developing cardiovascular disease (CVD). In fact, CVD-related mortality is more common in patients with NAFLD in comparison to liver-related mortality. This association is related to the common metabolic risk factors such as obesity, dyslipidemia, diabetes, and hypertension shared by both NAFLD and CVD, and also there is independent association of NAFLD with CVD because of risk factors such as insulin resistance, systemic inflammation, and atherogenic dyslipidemia. While there is abundant literature on association of NAFLD with CVD, there is sparse literature regarding the screening for CVD in patients with NAFLD. In the current review article, we discuss as to which patients with NAFLD to screen and how to screen for CVD.

Assessment of risk factors for coronary artery disease in military personnel: A study from Iran

Introduction:

Cardiovascular diseases are the most significant cause of mortality. Although the risk factors of this disease are well known, the strength of these factors varies in different populations and needs to be investigated.

Aim:

The aim of this study is to estimate the amount of the effect of each classic risk factor on CAD (coronary artery disease) among Aja personnel.

Materials and Methods:

This matched case-control study was conducted on 1000 male Aja personnel admitted selecting Aja hospitals in Tehran in 2017. The samples were selected using purposive-graded sampling method. The 250 military patients hospitalized for CAD were considered as a case group. Each case was individually matched for age and service force with tree military patients without CAD. Data were gathered using standard demographic information and history of risk factors questionnaire and analyzed using SPSS 23 and statistical tests. Odds ratio measured trough Cochran–Mantel–Haenszel test and used to estimate the amount of the effect of each classic risk factors on CAD.

Results:

Data analysis indicated that the risk factors including diabetes, hyperlipidemia, smoking, hypertension, and positive family history of CAD enhance the probability of CAD as much as 79.2%, 77.3%, 67.7%, 64.1%, and 56.6%, respectively.

Conclusion:

Diabetes and other modifiable risk factors have the greatest impact on CAD among the concerned Aja personnel. Hence, the authorities can consider the independent amount of the effect of each risk factor and modify them in order to prevent the disease more effectively and purposefully among the personnel.

Correlation between Breast Arterial Calcification and the 10-year fatal cardiovascular risk by means of the SCORE Risk System

Objectives:

The aim of this study was to investigate the relationship between Breast Arterial Calcification (BAC) on mammography and the 10-year fatal Cardiovascular Disease (CVD) risk by using SCORE risk system.

Methods:

The study was conducted from September 2013 to July 2014. A total of 66 women with BAC and 66 age-matched controls without BAC were analyzed. The groups were compared with respect to demographics, clinical, reproductive, laboratory parameters, and 10-year fatal CVD risk.

Results:

The mean ages of the women in the study was 54.0 years (40-85 years). Hypertension, systolic blood pressure, levels of serum total cholesterol and the calculated SCORE risk were higher in the BAC (+) group than in the BAC (-) group (p=0.04, p=0.031, p=0.046, and p=0.038 respectively). Multivariate analysis showed that none of them was independent factor of BAC on mammograms, only the 10-year fatal CVD risk was close to being statistically significant (OR:1.17, CI:0.98-1.38, p=0.06).

Conclusion:

BAC on mammography was found to be related to the 10-year fatal CVD risk as calculated by the SCORE risk score system. Additional large-scale prospective studies are required to further assess whether BAC can be considered a useful screening tool for CVD risk prediction in women who screened for breast cancer by mammography.

Carotid ultrasound is useful for the cardiovascular risk stratification in patients with hidradenitis suppurativa

Introduction

Hidradenitis suppurativa (HS) is a chronic inflammatory cutaneous disease which has been associated with an increased risk of adverse cardiovascular (CV) outcomes. Adequate stratification of the CV risk is an issue of major importance in patients with HS. To analyze the usefulness of carotid ultrasound (US) assessment for the CV disease risk stratification compared with a traditional score, the Framingham risk score (FRS), in a series of patients with HS.

Methods

Cross-sectional study of 60 patients with HS without history of CV events, diabetes mellitus or chronic kidney disease. Information on CV risk factors was collected and the FRS was calculated. Thus, the patients were classified into low, intermediate and high-CV disease risk categories based on FRS. Carotid US was performed in all participants, and the presence of atherosclerotic plaques was considered as a marker of high CV risk.

Results

HS patients had a mean age of 45.1±10.2 years, and 55% were female. The median FRS was 5.7 (IQR: 3.1–14.7). Twenty-four (40%) of the patients were classified into the low risk group, 28 (46.7%) in the intermediate risk group, and 8 (13.3%) into the FRS-high risk category. Noteworthy, carotid US revealed that about one-third of the patients (17/52; 32.6%) in the FRS-based low and intermediate risk categories had carotid plaques, and, therefore, they were reclassified into a high-risk category.

Conclusion

CV risk in HS patients may be underestimated by using the FRS. Carotid US may be useful to improve the CV risk stratification of patients with HS.

Urinary liver-type fatty acid binding protein is an independent predictor of stroke and mortality in individuals with type 1 diabetes

AIMS/HYPOTHESIS

In type 1 diabetes, cardiovascular disease (CVD) and diabetic nephropathy progress in parallel, thereby potentiating the risk of premature death during their development. Since urinary liver-type fatty acid binding protein (L-FABP) predicts the progression of diabetic nephropathy, the aim of this study was to investigate whether urinary L-FABP also predicts cardiovascular outcomes and mortality.

METHODS

We tested our hypothesis in a Finnish cohort of 2329 individuals with type 1 diabetes and a median follow-up of 14.1 years. The L-FABP to creatinine ratio was determined from baseline urine samples. The predictive value of urinary L-FABP was evaluated using Cox regression models, while its added predictive benefit for cardiovascular outcomes and mortality was evaluated using a panel of statistical indexes.

RESULTS

Urinary L-FABP predicted incident stroke independently of traditional risk factors (HR 1.33 [95% CI 1.20, 1.49]) and after further adjustment for eGFR (HR 1.28 [95% CI 1.14, 1.44]) or AER (HR 1.24 [95% CI 1.06, 1.44]). In addition, it predicted mortality independently of traditional risk factors (HR 1.34 [95% CI 1.24, 1.45]), and after adjustment for eGFR (HR 1.29 [95% CI 1.18, 1.39]) or AER (HR 1.22 [95% CI 1.09, 1.36]). Urinary L-FABP was as good a predictor as eGFR or AER, and improved the AUC for both outcomes on top of traditional risk factors, with no reclassification benefit (integrated discrimination improvement/net reclassification improvement) for stroke or mortality when AER or eGFR were added to traditional risk factors. However, urinary L-FABP was not a predictor of other cardiovascular endpoints (coronary artery disease, peripheral vascular disease and overall CVD events) when adjusted for the AER.

CONCLUSIONS/INTERPRETATION

Urinary L-FABP is an independent predictor of stroke and mortality in individuals with type 1 diabetes.

Association of Inter-Arm Systolic Blood Pressure Difference with Coronary Atherosclerotic Disease Burden Using Calcium Scoring

PURPOSE

There are no sufficient data on the correlation between inter-arm blood pressure (BP) difference and coronary atherosclerosis found using coronary artery calcium score (CACS). We aimed to investigate if the increased difference in inter-arm BP is independently associated with severity of CACS.

MATERIALS AND METHODS

Patients who had ≥3 cardiovascular risk factors or an intermediate Framingham Risk Score (FRS; ≥10) were enrolled. Inter-arm BP difference was defined as the absolute difference in BP in both arms. Quantitative CACS was measured by using coronary computed tomography angiography with the scoring system.

RESULTS

A total of 261 patients were included in this study. Age (r=0.256, p<0.001), serum creatinine (r=0.139, p=0.030), mean of right arm systolic BP (SBP; r=0.172, p=0.005), mean of left arm SBP (r=0.190, p=0.002), inter-arm SBP difference (r=0.152, p=0.014), and the FRS (r=0.278, p<0.001) showed significant correlation with CACS. The increased inter-arm SBP difference (≥6 mm Hg) was significantly associated with CACS ≥300 [odds ratio (OR) 2.17, 95% confidence interval (CI) 1.12-4.22; p=0.022]. In multivariable analysis, the inter-arm SBP difference ≥6 mm Hg was also significantly associated with CACS ≥300 after adjusting for clinical risk factors (OR 2.34, 95 % CI 1.06-5.19; p=0.036).

CONCLUSION

An increased inter-arm SBP difference (≥6 mm Hg) is associated with coronary atherosclerotic disease burden using CACS, and provides additional information for predicting severe coronary calcification, compared to models based on traditional risk factors.

Endothelial dysfunction in cardiovascular disease and Flammer syndrome-similarities and differences

The endothelium has increasingly been recognized as a smart barrier and a key regulator of blood flow in micro- and macrovascular beds. Endothelial dysfunction marks a stage of atherosclerosis and is an important prognostic marker for cardiovascular disease. Yet, some people who tend to be slim and physically active and with rather low blood pressure show a propensity to respond to certain stimuli such as emotional stress with endothelial-mediated vascular dysregulation (Flammer syndrome). This leads to characteristic vascular symptoms such as cold hands but also a risk for vascular-mediated diseases such as normal-tension glaucoma. It is the aim of this review to delineate the differences between Flammer syndrome and its "counterpart" endothelial dysfunction in the context of cardiovascular diseases.

Subclinical cardiovascular disease in patients with chronic obstructive pulmonary disease: a systematic review

BACKGROUND

Cardiovascular disease (CVD) accounts for a significant portion of deaths in patients with COPD; however, evidence for early detection strategies for CVD in this population remain limited. Our paper aims to summarize existing data regarding subclinical CVD in patients with COPD with a view to identifying screening strategies in these patients.

METHODS

A systematic review of published literature was conducted for studies examining the relationship of COPD and markers of subclinical disease such as coronary artery calcification (CAC), carotid intima media thickness (cIMT), endothelial dysfunction, arterial stiffness as measured by pulse wave velocity (PWV) and augmentation indices (AIx). Both MEDLINE and EMBASE databases were searched till October 2015.

RESULTS

A total of 22 studies were included in the review. Compared with control subjects, patients with COPD had significantly higher cIMT (SMD 0.53, 95% CI 0.16-0.90), PWV (SMD 0.91, 95% CI 0.67-1.16) and AIx (SMD 0.86, 95% CI 0.52-1.19). Additionally, an overall higher prevalence of subclinical CVD as assessed by CAC, ABI and FMD was noted in our review.

CONCLUSION

Although our findings need further evaluation in prospective studies, our review presents significant evidence in support of increased subclinical CVD burden in COPD patients independent of smoking status. Further large-scale case-control studies are required to highlight the significance of subclinical CVD screening in COPD patients.

Coronary artery calcium score: current status

The coronary artery calcium score plays an Important role In cardiovascular risk stratification, showing a significant association with the medium- or long-term occurrence of major cardiovascular events. Here, we discuss the following: protocols for the acquisition and quantification of the coronary artery calcium score by multidetector computed tomography; the role of the coronary artery calcium score in coronary risk stratification and its comparison with other clinical scores; its indications, interpretation, and prognosis in asymptomatic patients; and its use in patients who are symptomatic or have diabetes.