Second Manifestations Of ARTerial Disease Research Articles

Low-dose colchicine for the prevention of cardiovascular events after percutaneous coronary intervention: rationale and design of the COL BE PCI trial: Short title: Rationale and design of the COL BE PCI trial

Patients with coronary artery disease (CAD) remain vulnerable to future major atherosclerotic events after revascularization, despite effective secondary prevention strategies. Inflammation plays a central role in the pathogenesis of CAD and recurrent events. To date, there is no specific anti-inflammatory medicine available with proven effective, cost-efficient, and favorable benefit-risk profile, except for colchicine. Initial studies with colchicine have sparked major interest in targeting atherosclerotic events with anti-inflammatory agents, but further studies are warranted to enforce the role of colchicine role as a major treatment pillar in CAD. Given colchicine's low cost and established acceptable long-term safety profile, confirming its efficacy through a pragmatic trial holds the potential to significantly impact the global burden of cardiovascular disease.The COL BE PCI trial is an investigator-initiated, multicenter, double-blind, event-driven trial. It will enroll 2,770 patients with chronic or acute CAD treated with percutaneous coronary intervention (PCI) at 19 sites in Belgium, applying lenient in- and exclusion criteria and including at least 30% female participants. Patients will be randomized between 2 hours and 5 days post-PCI to receive either colchicine 0.5 mg daily or placebo on top of contemporary optimal medical therapy and without run-in period. All patients will have baseline hsCRP measurements and a Second Manifestations of Arterial Disease (SMART) risk score calculation. The primary endpoint is the time from randomization to the first occurrence of a composite endpoint consisting of all-cause death, spontaneous non-fatal myocardial infarction, non-fatal stroke, or coronary revascularization. The trial is event-driven and will continue until 566 events have been reached, providing 80% power to detect a 21 % reduction in the primary endpoint taking a premature discontinuation of 15% into account. We expect a trial duration of approximately 44 months.The COL BE PCI Trial aims to assess the effectiveness and safety of administering low-dose colchicine for the secondary prevention in patients with both chronic and acute coronary artery disease undergoing PCI. Trial registration: ClinicalTrials.gov: NCT06095765.

VLDL cholesterol associates with higher plasmatic expression of inflammatory proteins and atherosclerotic pathways compared to LDL cholesterol

Background and aim: High cholesterol in Low-Density Lipoproteins (LDL-C) is the key target of current pharmacological treatments aimed at reducing atherosclerotic cardiovascular disease (ACVD) risk. Increased cholesterol in Very low-density lipoproteins (“VLDL-C”) is an independent predictor of ACVD. VLDL-C was previously associated with markers of inflammation (for instance C-reactive protein). We now tested the relationship between either VLDL-C or LDL-C with a large spectrum of inflammatory proteins in plasma collected from subjects at different ACVD risks. Methods: We measured 276 proteins (OlinkTM) in plasma from a primary ACVD risk prevention cohort (“PLIC” in Milan; n=656 (8.2% on statins)) and a secondary ACVD risk prevention cohort (the Second Manifestations of ARTerial disease, “SMART”, the Netherlands, n=630 (50.8% on statins)). Cohorts were divided into three groups for VLDL-C (“Normal” VLDL-C<15 mg/dL, “High” VLDL-C 15-30 mg/dL, “Very high” VLDL-C >30 mg/dL) and LDL-C (“Normal” LDL-C <115 mg/dL, “High” LDL-C 115-155 mg/dL, “Very high” LDL-C>155 mg/dL). The expression (Normalized Protein eXpression, NPX) of each protein was compared among these groups by artificial intelligence. The performance to discriminate subjects with higher VLDL-C or LDL-C was evaluated by comparing the Areas Under the Curve (AUCs) of the Receiver Operating Characteristics curve (ROC) considering proteomics on top of ACVD risk factors (“CVRFs”: age, body mass index, systolic blood pressure, glycemia, therapies), versus the AUC of the ROCs with CVRFs alone. Results: The number of plasma proteins differentially expressed increased, as a function of higher VLDL-C in PLIC, as the NPXs of 84 were higher in “High” and the NPXs of 136 were higher in “Very high” vs “Normal” VLDL-C respectively. A similar trend was found in SMART, where the NPXs of 30 proteins were higher in “High” and the NPXs of 64 were higher in “Very high” vs “Normal” VLDL-C respectively. 26 proteins were shared between the two populations and recapitulated key atherosclerotic pathways (including chemotaxis of immune cells). The relationship between LDL-C was less marked; in PLIC, 14 proteins were more expressed in “High” and 33 in “Very high” vs “Normal” LDL-C respectively, while in SMART, the NPXs of 11 proteins were higher in “High” and the NPXs of 36 were higher in “Very high” vs “Normal” LDL-C respectively. Only 4 proteins were shared between high and very high LDL-C in the two populations. Finally, none of the proteins were shared between the groups of “High”/“Very high” VLDL-C and “High”/“Very high” LDL-C in the two cohorts. Canonical CVRFs alone slightly improved the ability to identify subjects with increased VLDL-C both in PLIC and SMART (AUCs between 0.6 on average), but adding plasma proteomics markedly improved the performance to identify subjects with “High” VLDL-C, in PLIC (AUC=0.767 (0.709-0.837)) and in SMART (AUC=0.781 (0.681-0.873)), and with “Very high” VLDL-C (AUC=0.950 (0.899-0.976) in PLIC, and AUC=0.938 (0.894-0.971) in SMART). The ROC of plasma proteomics with CVRFs was also superior to the ROC of the CVRFs alone to identify subjects with “High” and “Very high” LDL-C, but, as compared to the ROCs that discriminated subjects with “High” and “Very-high” VLDL-C, the AUCs were attenuated in both cohort (for “High” LDL-C: AUC=0.665 (0.558-0.774) in PLIC and AUC=0.775 (0.704-0.842) in SMART; for “Very high” LDL-C: AUC =0.776 (0.694-0.854) in PLIC and AUC=0.882 (0.825-0.931) in SMART). Conclusion: High VLDL-C associates with a higher number of differentially expressed plasma proteins versus high LDL-C and none of the proteins were in common. Our data do not underestimate the value of LDL-C in ACVD but reinforce the concept that VLDL-C may also promote different atherosclerotic pathways involved in determining ACVD.

Proteomics and lipidomics in atherosclerotic cardiovascular disease risk prediction.

Given the limited accuracy of clinically used risk scores such as the Systematic COronary Risk Evaluation 2 system and the Second Manifestations of ARTerial disease 2 risk scores, novel risk algorithms determining an individual's susceptibility of future incident or recurrent atherosclerotic cardiovascular disease (ASCVD) risk are urgently needed. Due to major improvements in assay techniques, multimarker proteomic and lipidomic panels hold the promise to be reliably assessed in a high-throughput routine. Novel machine learning-based approaches have facilitated the use of this high-dimensional data resulting from these analyses for ASCVD risk prediction. More than a dozen of large-scale retrospective studies using different sets of biomarkers and different statistical methods have consistently demonstrated the additive prognostic value of these panels over traditionally used clinical risk scores. Prospective studies are needed to determine the clinical utility of a biomarker panel in clinical ASCVD risk stratification. When combined with the genetic predisposition captured with polygenic risk scores and the actual ASCVD phenotype observed with coronary artery imaging, proteomics and lipidomics can advance understanding of the complex multifactorial causes underlying an individual's ASCVD risk.

Cohort profile: the Utrecht Cardiovascular Cohort–Second Manifestations of Arterial Disease (UCC-SMART) Study–an ongoing prospective cohort study of patients at high cardiovascular risk in the Netherlands

PurposeThe Utrecht Cardiovascular Cohort–Second Manifestations of Arterial Disease (UCC-SMART) Study is an ongoing prospective single-centre cohort study with the aim to assess important determinants and the prognosis of cardiovascular disease...

Excess Mortality for Abdominal Aortic Aneurysms and the Potential of Strict Implementation of Cardiovascular Risk Management: A Multifaceted Study Integrating Meta-Analysis, National Registry, and PHAST and TEDY Trial Data

Previous studies imply a profound residual mortality risk following successful abdominal aorta aneurysm (AAA) repair. This excess mortality is generally attributed to increased cardiovascular risk. The aim of this study was (1) to quantify the excess residual mortality for patients with AAA, (2) to evaluate the cross sectional level of cardiovascular risk management, and (3) to estimate the potential of optimised cardiovascular risk management to reduce the excess mortality in these patients. Excess mortality was estimated through a systematic review and meta-analysis, and through data from the Swedish National Health Registry. Cardiovascular risk profiles were individually assessed during eligibility screening of patients with AAA for two multicentre pharmaceutical AAA stabilisation trials. The potential of full implementation of cardiovascular risk management was estimated through the validated Second Manifestations of ARTerial disease (SMART) risk scores algorithm. The meta-analysis showed a similarly impaired survival for patients who received early repair (small AAA) or regular repair (≥ 55 mm), and a further impaired survival for patients under surveillance for a small AAA. Excess mortality was further quantified using Swedish population data. The data revealed a more than quadrupled and doubled five year mortality rate for women and men who had their AAA repaired, respectively. Evaluation of the level of risk management of 358 patients under surveillance in 16 Dutch hospitals showed that the majority of patients with AAA did not meet therapeutic targets set for risk management in high risk populations, and indicated a more pronounced prevention gap in women. Application of the SMART risk score algorithm predicted that optimal implementation of risk management guidelines would reduce the 10 year risk of major adverse cardiovascular events from 43% to 14%. Independent of the rupture risk, AAA is associated with a worryingly compromised life expectancy with a particularly poor prognosis for women. Optimal implementation of cardiovascular risk prevention guidelines is predicted to profoundly reduce cardiovascular risk.

Low-grade carotid artery stenosis is associated with progression of brain atrophy and cognitive decline. The SMART-MR study

Asymptomatic low-grade carotid artery stenosis (LGCS) is a common finding in patients with manifest arterial disease, however its relationship with brain MRI changes and cognitive decline is unclear. We included 902 patients (58 ± 10 years; 81% male) enrolled in the Second Manifestations of Arterial Disease – Magnetic Resonance (SMART-MR) study without a history of cerebrovascular disease. LGCS was defined as 1–49% stenosis on baseline carotid ultrasound, whereas no LGCS (reference category) was defined as absence of carotid plaque. Brain and white matter hyperintensity (WMH) volumes and cognitive function were measured at baseline and after 4 (n = 480) and 12 years (n = 222) of follow-up. Using linear mixed-effects models, we investigated associations of LGCS with progression of brain atrophy, WMH, and cognitive decline. LGCS was associated with greater progression of global brain atrophy (estimate −0.03; 95%CI, −0.06 to −0.01; p = 0.002), and a greater decline in executive functioning (estimate −0.02; 95%CI, −0.031 to −0.01; p < 0.001) and memory (estimate −0.012; 95%CI, −0.02 to −0.001; p = 0.032), independent of demographics, cardiovascular risk factors, and incident brain infarcts on MRI. No association was observed between LGCS and progression of WMH. Our results indicate that LGCS may represent an early marker of greater future brain atrophy and cognitive decline.

Baseline cardiovascular risk in subjects with type 2 diabetes and chronic kidney disease from the FLOW trial

Abstract Background Patients with chronic kidney disease and type 2 diabetes (T2D) have a high risk of progression to kidney failure as well as cardiovascular (CV) events. It is established that glucagon-like peptide-1 receptor agonists (GLP-1RAs) improve glycaemic control and reduce body weight. Some CV outcomes trials have shown that GLP-1RAs reduce CV risk in people with T2D at high CV risk; for example, the SUSTAIN 6 trial demonstrated that the GLP-1RA semaglutide significantly lowered the rate of major CV events (CV death, non-fatal myocardial infarction and non-fatal stroke) versus placebo. Some trials have also indicated that GLP-1RAs reduce albuminuria and estimated glomerular filtration rate (eGFR) decline. Based on these previous results indicating potential kidney-protective effects, the FLOW trial (NCT03819153) is evaluating once-weekly, subcutaneous semaglutide 1.0 mg versus placebo on kidney- and CV-related outcomes in participants with T2D. We describe the baseline characteristics and the calculated CV risk of this patient population using the atherosclerotic CV disease (ASCVD) and second manifestations of arterial disease (SMART) risk calculators. Methods FLOW is an ongoing, multicentre, randomised, double-blind, parallel-group, event-driven, phase 3b trial, with participants randomised 1:1 to semaglutide or placebo, each in addition to standard of care. Recruitment is complete and 3,535 participants with T2D, an eGFR ≥25–≤75 mL/min/1.73 m2, and urine albumin-to-creatinine ratio ≥100–≤5,000 mg/g have been enrolled. The primary endpoint is time to first occurrence of a kidney composite that includes ≥50% persistent eGFR reduction, kidney failure (persistent eGFR &amp;lt;15 mL/min/1.73 m2 or initiation of chronic dialysis or kidney transplantation), and kidney-related death, or CV death. Key secondary outcomes include time to first occurrence of CV death, myocardial infarction or stroke. Results The baseline clinical characteristics and demographics are shown (Table 1). Median age was 68 years, 30% were female, mean diabetes duration was 17 years, and 98% had a history of hypertension. Overall, 52% of participants had a previous CV event. The calculated 10-year risk for ASCVD events in those without prior ASCVD was 31% in males and 18% in females, and in those with previous CV events was 37–56% in males and 35–53% in females depending on the type of CV disease reported in the calculator (Table 2). Conclusions The FLOW trial has completed enrolment. Based on the ASCVD and SMART risk calculators, the enrolled population has a substantial risk for adverse CV outcomes. Event ascertainment is ongoing, and the FLOW trial will provide evidence for the potential of semaglutide to improve kidney and CV outcomes in the T2D population. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Novo Nordisk

Targeted proteomics improves cardiovascular risk prediction in secondary prevention.

AimsCurrent risk scores do not accurately identify patients at highest risk of recurrent atherosclerotic cardiovascular disease (ASCVD) in need of more intensive therapeutic interventions. Advances in high-throughput plasma proteomics, analysed with machine learning techniques, may offer new opportunities to further improve risk stratification in these patients.Methods and resultsTargeted plasma proteomics was performed in two secondary prevention cohorts: the Second Manifestations of ARTerial disease (SMART) cohort (n = 870) and the Athero-Express cohort (n = 700). The primary outcome was recurrent ASCVD (acute myocardial infarction, ischaemic stroke, and cardiovascular death). Machine learning techniques with extreme gradient boosting were used to construct a protein model in the derivation cohort (SMART), which was validated in the Athero-Express cohort and compared with a clinical risk model. Pathway analysis was performed to identify specific pathways in high and low C-reactive protein (CRP) patient subsets. The protein model outperformed the clinical model in both the derivation cohort [area under the curve (AUC): 0.810 vs. 0.750; P < 0.001] and validation cohort (AUC: 0.801 vs. 0.765; P < 0.001), provided significant net reclassification improvement (0.173 in validation cohort) and was well calibrated. In contrast to a clear interleukin-6 signal in high CRP patients, neutrophil-signalling-related proteins were associated with recurrent ASCVD in low CRP patients.ConclusionA proteome-based risk model is superior to a clinical risk model in predicting recurrent ASCVD events. Neutrophil-related pathways were found in low CRP patients, implying the presence of a residual inflammatory risk beyond traditional NLRP3 pathways. The observed net reclassification improvement illustrates the potential of proteomics when incorporated in a tailored therapeutic approach in secondary prevention patients.

Low-grade inflammation as a risk factor for cardiovascular events and all-cause mortality in patients with type 2 diabetes

BackgroundType 2 diabetes is a condition associated with a state of low-grade inflammation caused by adipose tissue dysfunction and insulin resistance. High sensitive-CRP (hs-CRP) is a marker for systemic low-grade inflammation and higher plasma levels have been associated with cardiovascular events in various populations. The aim of the current study is to evaluate the relation between hs-CRP and incident cardiovascular events and all-cause mortality in high-risk type 2 diabetes patients.MethodsProspective cohort study of 1679 type 2 diabetes patients included in the Second Manifestations of ARTerial disease (SMART). Cox proportional hazard models were used to evaluate the risk of hs-CRP on cardiovascular events (composite of myocardial infarction, stroke and vascular mortality) and all-cause mortality. Hs-CRP was log-transformed for continuous analyses. Findings were adjusted for age, sex, BMI, current smoking and alcohol use, non-HDL-cholesterol and micro-albuminuria.Results307 new cardiovascular events and 343 deaths occurred during a median follow-up of 7.8 years (IQR 4.2–11.1). A one unit increase in log(hs-CRP) was related to an increased vascular- and all-cause mortality risk (HR 1.21, 95% CI 1.01–1.46 and HR 1.26, 95% CI 1.10–1.45 respectively). No relation was found between log(hs-CRP) and myocardial infarction or stroke. The relations were similar in patients with and without previous vascular disease.ConclusionLow grade inflammation, as measured by hs-CRP, is an independent risk factor for vascular- and all-cause mortality but not for cardiovascular events in high-risk type 2 diabetes patients. Chronic low-grade inflammation may be a treatment target to lower residual cardiovascular risk in type 2 diabetes patients.

Finding very high lipoprotein(a): the need for routine assessment.

To validate the reported increased atherosclerotic cardiovascular disease (ASCVD) risk associated with very high lipoprotein(a) [Lp(a)] and to investigate the impact of routine Lp(a) assessment on risk reclassification. We performed a cross-sectional case-control study in the Amsterdam UMC, a tertiary hospital in The Netherlands. All patients in whom a lipid blood test was ordered between October 2018 and October 2019 were included. Individuals with Lp(a) >99th percentile were age and sex matched to individuals with Lp(a) ≤20th percentile. We computed odds ratios (ORs) for myocardial infarction (MI) and ASCVD using multivariable logistic regression adjusted for age, sex, and systolic blood pressure. Furthermore, we assessed the additive value of Lp(a) to established ASCVD risk algorithms. Lipoprotein(a) levels were determined in 12 437 individuals, out of whom 119 cases [Lp(a) >99th percentile; >387.8 nmol/L] and 119 matched controls [Lp(a) ≤20th percentile; ≤7 nmol/L] were included. Mean age was 58 ± 15 years, 56.7% were female, and 30.7% had a history of ASCVD. Individuals with Lp(a) levels >99th percentile had an OR of 2.64 for ASCVD [95% confidence interval (CI) 1.45-4.89] and 3.39 for MI (95% CI 1.56-7.94). Addition of Lp(a) to ASCVD risk algorithms led to 31% and 63% being reclassified into a higher risk category for Systematic Coronary Risk Evaluation (SCORE) and Second Manifestations of ARTerial disease (SMART), respectively. The prevalence of ASCVD is nearly three-fold higher in adults with Lp(a) >99th percentile compared with matched subjects with Lp(a) ≤20th percentile. In individuals with very high Lp(a), addition of Lp(a) resulted in one-third of patients being reclassified in primary prevention, and over half being reclassified in secondary prevention.

Association of Ischemic Imaging Phenotype With Progression of Brain Atrophy and Cerebrovascular Lesions on MRI

Background and Objective To investigate the association of silent vascular lesions, imaging negative ischemia, and symptomatic cerebrovascular disease with long-term progression of brain atrophy and cerebrovascular lesions in patients with arterial disease. Methods Within the Second Manifestations of Arterial Disease–Magnetic Resonance (SMART-MR) study, stroke status of participants at baseline was classified as no cerebrovascular disease (reference group, n = 829), symptomatic cerebrovascular disease (n = 206), silent vascular lesion (n = 157), and imaging-negative ischemia (n = 90) according to clinical and MRI findings. With the use of linear mixed models, changes in brain and white matter hyperintensity (WMH) volumes at baseline and during 12 years of follow-up were studied in stroke classifications. Relative risks were estimated for new infarcts during follow-up associated with stroke classifications. Analyses were adjusted for age, sex, cardiovascular risk factors, and medications. Results Symptomatic cerebrovascular disease associated with 0.35 SD (95% confidence interval [CI] 0.24–0.47) smaller brain volume and 0.61 SD (95% CI 0.48–0.74) larger WMH volume at baseline and increased risk for new infarcts during follow-up (risk ratio [RR] 2.89, 95% CI 2.00–4.16). Silent vascular lesions were associated with 0.15 SD (95% CI 0.01–0.88) smaller brain volume, 0.02 SD (95% CI 0.01–0.03) steeper brain atrophy slope, and 0.48 SD (95% CI 0.32–0.64) larger WMH volume at baseline, in addition to increased risk for lacunes (RR 2.08, 95% CI 1.48–2.94). Individuals with imaging-negative ischemia had increased risk for cortical infarcts (RR 2.88, 95% CI 2.17–3.82). Discussion Patients with symptomatic cerebrovascular disease, silent vascular lesions, or imaging-negative ischemia have a different course of brain volume loss and cerebrovascular lesion development. These findings may have implications for future stroke risk and dementia and need further investigation.

Automatic Prediction of Recurrence of Major Cardiovascular Events: A Text Mining Study Using Chest X-Ray Reports.

Methods We used EHR data of patients included in the Second Manifestations of ARTerial disease (SMART) study. We propose a deep learning-based multimodal architecture for our text mining pipeline that integrates neural text representation with preprocessed clinical predictors for the prediction of recurrence of major cardiovascular events in cardiovascular patients. Text preprocessing, including cleaning and stemming, was first applied to filter out the unwanted texts from X-ray radiology reports. Thereafter, text representation methods were used to numerically represent unstructured radiology reports with vectors. Subsequently, these text representation methods were added to prediction models to assess their clinical relevance. In this step, we applied logistic regression, support vector machine (SVM), multilayer perceptron neural network, convolutional neural network, long short-term memory (LSTM), and bidirectional LSTM deep neural network (BiLSTM). Results We performed various experiments to evaluate the added value of the text in the prediction of major cardiovascular events. The two main scenarios were the integration of radiology reports (1) with classical clinical predictors and (2) with only age and sex in the case of unavailable clinical predictors. In total, data of 5603 patients were used with 5-fold cross-validation to train the models. In the first scenario, the multimodal BiLSTM (MI-BiLSTM) model achieved an area under the curve (AUC) of 84.7%, misclassification rate of 14.3%, and F1 score of 83.8%. In this scenario, the SVM model, trained on clinical variables and bag-of-words representation, achieved the lowest misclassification rate of 12.2%. In the case of unavailable clinical predictors, the MI-BiLSTM model trained on radiology reports and demographic (age and sex) variables reached an AUC, F1 score, and misclassification rate of 74.5%, 70.8%, and 20.4%, respectively. Conclusions Using the case study of routine care chest X-ray radiology reports, we demonstrated the clinical relevance of integrating text features and classical predictors in our text mining pipeline for cardiovascular risk prediction. The MI-BiLSTM model with word embedding representation appeared to have a desirable performance when trained on text data integrated with the clinical variables from the SMART study. Our results mined from chest X-ray reports showed that models using text data in addition to laboratory values outperform those using only known clinical predictors.

Association of White Matter Hyperintensity Markers on MRI and Long-term Risk of Mortality and Ischemic Stroke: The SMART-MR Study.

ObjectiveTo determine whether white matter hyperintensity (WMH) markers on MRI are associated with long-term risk of mortality and ischemic stroke.MethodsWe included consecutive patients with manifest arterial disease enrolled in the Second Manifestations of Arterial Disease–Magnetic Resonance (SMART-MR) study. We obtained WMH markers (volume, type, and shape) from brain MRI scans performed at baseline using an automated algorithm. During follow-up, occurrence of death and ischemic stroke was recorded. Using Cox regression, we investigated associations of WMH markers with risk of mortality and ischemic stroke, adjusting for demographics, cardiovascular risk factors, and cerebrovascular disease.ResultsWe included 999 patients (59 ± 10 years; 79% male) with a median follow-up of 12.5 years (range 0.2–16.0 years). A greater periventricular or confluent WMH volume was independently associated with a greater risk of vascular death (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.13–1.47) for a 1-unit increase in natural log-transformed WMH volume and ischemic stroke (HR 1.53, 95% CI 1.26–1.86). A confluent WMH type was independently associated with a greater risk of vascular (HR 1.89, 95% CI 1.15-3.11) and nonvascular death (HR 1.65, 95% CI 1.01–2.73) and ischemic stroke (HR 2.83, 95% CI 1.36-5.87). A more irregular shape of periventricular or confluent WMH, as expressed by an increase in concavity index, was independently associated with a greater risk of vascular (HR 1.20, 95% CI 1.05–1.38 per SD increase) and nonvascular death (HR 1.21, 95% CI 1.03–1.42) and ischemic stroke (HR 1.28, 95% CI 1.05–1.55).ConclusionsWMH volume, type, and shape are associated with long-term risk of mortality and ischemic stroke in patients with manifest arterial disease.

Relationship between classic vascular risk factors and cumulative recurrent cardiovascular event burden in patients with clinically manifest vascular disease: results from the UCC-SMART prospective cohort study

ObjectiveThe aim of the current study was to assess the relationship between classic cardiovascular risk factors and risk of not only the first recurrent atherosclerotic cardiovascular event, but also the...

Survival analysis under the Cox proportional hazards model with pooled covariates.

For a continuous time-to-event outcome and an expensive-to-measure exposure, we develop a pooling design and propose a likelihood-based approach to estimate the hazard ratios (HRs) of a Cox proportional hazards (PH) model. Our proposed approach fits a PH model based on pooled exposures with individually observed time-to-event outcomes. The design and estimation exploits the equivalence of the conditional logistic likelihood functions arising from a matched case-control study and the partial likelihood function of a riskset-matched, nested case-control (NCC) subset of a cohort study. To create the pools, we first focus on an NCC subcohort. Pools are formed at random while keeping the matching intact. Pool-level exposure and confounders are then evaluated and used in the likelihood to estimate the HR and the standard error of the estimates. The estimators are MLEs, provide consistent estimates of the individual-level HRs, and are asymptotically normal. Our simulation results indicate that the pooled estimates are comparable to the estimates obtained from the NCC subcohort. The units of analysis for the pooled design are the pools and not the individual participants. Hence the effective sample size is reduced. Therefore, the variance of the HR estimate increases with increasing poolsize. However, this variance inflation in small samples can be offset by including more matched controls per case within the NCC subcohort. An application is demonstrated with the Second Manifestations of ARTerial disease (SMART) study.

DA VINCI study: Change in approach to cholesterol management will be needed to reduce the implementation gap between guidelines and clinical practice in Europe

DA VINCI study: Change in approach to cholesterol management will be needed to reduce the implementation gap between guidelines and clinical practice in Europe

Risk for Recurrent Cardiovascular Events and Expected Risk Reduction With Optimal Treatment 1 Year After an Acute Coronary Syndrome

According to the latest European Society of Cardiology Guidelines for the diagnosis and management of chronic coronary syndromes, patients who suffered an acute coronary syndrome fall into a chronic stable phase after 1 year. In these patients, the estimated 10-year risk for recurrent cardiovascular events varies considerably. We applied the SMART (Second Manifestations of Arterial Disease) risk score in 281 patients 1 year after an acute coronary syndrome to estimate the 10-year risk for recurrent cardiovascular events (subsequent nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death). We assessed the distribution of the estimated risk and the potential risk reduction that might be achieved with optimal guideline-directed management of modifiable risk factors (systolic blood pressure, low-density lipoprotein cholesterol, smoking, and body mass index). In our cohort, the median SMART score was 16.1% (interquartile range [IQR] 9.7 to 27.3), particularly increased in patients with older age, diabetes, polyvascular disease or chronic kidney disease (median 28.6%, IQR 20.8 to 52.9; 23.8%, 4.8 to 41.6; 29.4%, 18.8 to 49.7; 53.8%, 26.5 to 71.6, respectively). If all modifiable risk factors met guideline-recommended targets, the median SMART risk score would be 9.6% (IQR 6.3 to 20.9), with 51% of the patients at a 10-year risk <10%, while 11% and 15% at 20% to 30% and >30% risk, respectively. In conclusion, the SMART score had a wide distribution in patients with chronic coronary syndromes. A quarter of patients remained at a >20% 10-year risk, even with optimal risk factor management, clearly underlining that residual risk is an unmet clinical challenge.

Intracranial atherosclerosis on 7T MRI and cognitive functioning: The SMART-MR study.

To investigate the association between intracranial atherosclerosis (ICAS) and cognitive functioning in patients with a history of vascular disease. Within the Second Manifestations of Arterial Disease-Magnetic Resonance (SMART-MR) study, cross-sectional analyses were performed in 130 patients (mean ± SD age 68 ± 9 years) with 7T vessel wall MRI data. Vessel wall lesions were rated according to established criteria and summed into a circulatory and artery-specific ICAS burden. Associations between ICAS burden and Z scores of memory, executive functioning, working memory, and processing speed were estimated using linear regression analyses adjusted for age, sex, education, reading ability, and vascular risk factors. A total of 125 patients (96%) had ≥1 vessel wall lesion; the mean ICAS burden was 8.5 ± 5.7. A statistically nonsignificant association was found between total ICAS burden and memory (b = -0.03 per +1 lesion; 95% confidence interval [CI] -0.05 to 0.00). No associations were found for the other domains. A statistically significant association was found for ICAS burden of the posterior cerebral artery (PCA) and memory (b = -0.12 per +1 lesion; 95% CI -0.23 to -0.01) and executive functioning (b = -0.10 per +1 lesion; 95% CI -0.19 to -0.01). Statistically nonsignificant associations were found for the anterior cerebral artery (ACA) burden and memory (b = -0.13 per +1 lesion; 95% CI -0.26 to 0.01) and executive functioning (b = -0.11 per +1 lesion; 95% CI -0.22 to 0.01). Additional adjustments for large infarcts, white matter hyperintensities, lacunes, and ≥50% carotid stenosis produced similar results. Our results suggest an artery-specific vulnerability of memory and executive functioning to ICAS, possibly due to strategic brain regions involved with these cognitive domains, which are located in the arterial territory of the PCA and ACA.

Subjective cognitive decline, brain imaging biomarkers, and cognitive functioning in patients with a history of vascular disease: the SMART-Medea study

We estimated associations of subjective cognitive decline (SCD) with neuroimaging markers of dementia and cognitive functioning in patients with a history of vascular disease without objective cognitive impairment. Within the Second Manifestations of ARTerial disease–Memory, depression and aging study, 599 patients (62 ± 9 years) had 1.5 T brain magnetic resonance imaging and cognitive testing at the baseline and after 8 years of follow-up. Using multiple regression analyses, we estimated cross-sectional and longitudinal associations of SCD according to research criteria with volumes of total brain, hippocampus, white matter hyperintensities, and presence of lacunes and with memory, executive functioning, information processing speed, and working memory. SCD was associated with increased risk of lacunes at the baseline (relative risk = 1.48, 95% confidence interval: 1.03; 2.12) but not during follow-up. No significant associations with volumes of white matter hyperintensities, total brain, or hippocampus were observed. SCD was cross-sectionally associated with poorer executive functioning and speed but not during follow-up. More prospective studies are needed to further elucidate the relationship between SCD, brain imaging markers, and cognitive decline and the role of SCD in the preclinical stage of Alzheimer's disease.

Lifetime cardiovascular risk is associated with a multimarker score of systemic oxidative status in young adults independently of traditional risk factors

Cardiovascular risk (CVR) tends to be estimated in the short-term, which underestimates lifetime (LT)-CVR of young subjects. We determined whether LT-CVR is associated with a multimarker score of oxidative status in young adults and whether this association is independent of traditional CVR factors. Seventy-two young adults were stratified into: (1) low or (2) high LT-CVR, and (3) stable coronary artery disease (SCAD). CVR was estimated with QRisk and atherosclerotic CV disease (ASCVD) risk estimators, or second manifestations of arterial disease (SMART). Risk score. oxidative damage was determined by measuring carbonyls, oxidized LDL (oxLDL), 8-hydroxy-2'-deoxyguanosine (8-OHdG), and xanthine oxidase activity. Antioxidant defence was determined by total antioxidant capacity (TAC), catalase (CAT) activity and superoxide dismutase (SOD) activity. Multimarker scores of systemic oxidative damage (OxyScore) and antioxidant defence (AntioxyScore) were computed as standardized variables. Subjects with high LT-CVR had significantly higher levels of oxLDL, 8-OHdG, TAC, and CAT activity than subjects with low LT-CVR or with SCAD. QRisk and ASCVD estimators correlated positively with oxLDL, TAC, and CAT activity, while SMART Risk Score correlated with carbonyls and SOD activity. OxyScore and AntioxyScore were significantly higher in subjects with high LT-CVR than with low LT-CVR or with SCAD. OxyScore, but not AntioxyScore, was associated with LT-CVR independently of each traditional CVR factor. This study for the first time demonstrates a positive association between oxidative stress and the risk of first and recurrent CV events in young adults.