Association Between Statin Use and Cardiovascular Events After Carotid Artery Revascularization

Effect modification by statin use status on the association between fine particulate matter (PM2.5) and cardiovascular mortality

BACKGROUND

Numerous studies have linked fine particulate matter (PM2.5) to increased cardiovascular mortality. Less is known how the PM2.5-cardiovascular mortality association varies by use of cardiovascular medications. This study sought to quantify effect modification by statin use status on the associations between long-term exposure to PM2.5 and mortality from any cardiovascular cause, coronary heart disease (CHD), and stroke.

METHODS

In this nested case-control study, we followed 1.2 million community-dwelling adults aged ≥66 years who lived in Ontario, Canada from 2000 through 2018. Cases were patients who died from the three causes. Each case was individually matched to up to 30 randomly selected controls using incidence density sampling. Conditional logistic regression models were used to estimate odds ratios (ORs) for the associations between PM2.5 and mortality. We evaluated the presence of effect modification considering both multiplicative (ratio of ORs) and additive scales (the relative excess risk due to interaction, RERI).

RESULTS

Exposure to PM2.5 increased the risks for cardiovascular, CHD, and stroke mortality. For all three causes of death, compared with statin users, stronger PM2.5-mortality associations were observed among non-users [e.g. for cardiovascular mortality corresponding to each interquartile range increase in PM2.5, OR = 1.042 (95% CI, 1.032-1.053) vs OR = 1.009 (95% CI, 0.996-1.022) in users, ratio of ORs = 1.033 (95% CI, 1.019-1.047), RERI = 0.039 (95% CI, 0.025-0.050)]. Among users, partially adherent users exhibited a higher risk of PM2.5-associated mortality than fully adherent users.

CONCLUSIONS

The associations of chronic exposure to PM2.5 with cardiovascular and CHD mortality were stronger among statin non-users compared to users.

Appropriateness of care: Asymptomatic carotid stenosis including transcarotid artery revascularization

Carotid artery stenosis is one of the most common diagnoses treated by vascular specialists in the United States. The optimal management of carotid stenosis remains controversial, however, with notable variation surrounding diagnostic imaging modalities, longitudinal surveillance, medical therapies, and procedural interventions. Data from high-quality randomized controlled trials and observational studies form the foundation for current management paradigms and societal guidelines that inform clinical practice. Presently, a diagnosis of carotid disease is most often established with duplex ultrasound and supplemental cross-sectional imaging using computed tomography or magnetic resonance angiography as needed to provide additional anatomic information. All patients with documented occlusive disease should receive goal-directed medical therapy with antiplatelet agents and a lipid-reduction strategy, most commonly with a statin. Those with severe carotid stenosis and an acceptable life expectancy may be considered for carotid artery revascularization. The proceduralist should optimally consider a shared decision-making approach in which the tradeoffs of revascularization can be carefully considered with the patient to optimize informed therapeutic decision making. In current practice, three distinct procedure options exist to treat carotid artery stenosis, including carotid endarterectomy, transfemoral carotid artery stenting, and transcarotid artery revascularization. It should be noted that each procedure, although often used interchangeably in most clinical settings, carry technical nuances and outcome disparities. In this review, each of these topics are explored and various approaches are outlined surrounding the appropriate use of treatments for patients with asymptomatic carotid artery stenosis.

FRAX predicts cardiovascular risk in women undergoing osteoporosis screening: the Manitoba bone mineral density registry

Osteoporosis and cardiovascular disease (CVD) are highly prevalent in older women, with increasing evidence for shared risk factors and pathogenesis. Although FRAX was developed for the assessment of fracture risk, we hypothesized that it might also provide information on CVD risk. To test the ability of the FRAX tool and FRAX-defined risk factors to predict incident CVD in women undergoing osteoporosis screening with DXA, we performed a retrospective prognostic cohort study which included women aged 50 yr or older with a baseline DXA scan in the Manitoba Bone Mineral Density Registry between March 31, 1999 and March 31, 2018. FRAX scores for major osteoporotic fracture (MOF) were calculated on all participants. Incident MOF and major adverse CV events (MACE; hospitalized acute myocardial infarction [AMI], hospitalized non-hemorrhagic cerebrovascular disease [CVA], or all-cause death) were ascertained from linkage to population-based healthcare data. The study population comprised 59 696 women (mean age 65.7 ± 9.4 yr). Over mean 8.7 yr of observation, 6021 (10.1%) had MOF, 12 277 women (20.6%) had MACE, 2274 (3.8%) had AMI, 2061 (3.5%) had CVA, and 10 253 (17.2%) died. MACE rates per 1000 person-years by FRAX risk categories low (10-yr predicted MOF <10%), moderate (10%-19.9%) and high (≥20%) were 13.5, 34.0, and 64.6, respectively. Although weaker than the association with incident MOF, increasing FRAX quintile was associated with increasing risk for MACE (all P-trend <.001), even after excluding prior CVD and adjusting for age. HR for MACE per SD increase in FRAX was 1.99 (95%CI, 1.96-2.02). All FRAX-defined risk factors (except parental hip fracture and lower BMI) were independently associated with higher non-death CV events. Although FRAX is intended for fracture risk prediction, it has predictive value for cardiovascular risk.

Discharge prescription patterns for antiplatelet and statin therapy following carotid endarterectomy: an analysis of the vascular quality initiative

OBJECTIVES

Despite guidelines endorsing statin and single antiplatelet therapy (SAPT) therapy post-carotid endarterectomy (CEA), these medications may be either under or inappropriately prescribed. We determined rates of new statin prescriptions as well as change in antiplatelet therapy (APT) regimen at discharge. We identified characteristics associated with these occurrences.

DESIGN

We performed a retrospective Vascular Quality Initiative registry analysis of more than 125 000 patients who underwent CEA from 2013 to 2021.

SETTING

The Vascular Quality Initiative is a multicentre registry database including academic and community-based hospitals throughout the USA.

PARTICIPANTS

Patients age≥18 years undergoing CEA with available statin and APT data (preprocedure and postprocedure) were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

We determined overall rates of statin and APT prescription at discharge. Multivariate logistic regression was used to determine clinical and demographic characteristics that were mostly associated with new statin prescription or changes in APT regimen at discharge.

RESULTS

Study participants were predominantly male (61%) and White (90%), with a mean age of 70.6±9.1. 13.1% of participants were not on statin therapy pre-CEA, and 48% of these individuals were newly prescribed one. Statin rates steadily increased throughout the study period: 36.2% in 2013 to 62% in 2021. A higher likelihood of new statin prescription was associated with non-race, diabetes, coronary heart disease, stroke, TIA and a non-elective indication. Older age, female gender, chronic obstructive pulmonary disease and prior carotid revascularisation were associated with a lower likelihood of new statin prescription. Nearly all participants were discharged on APT (63% SAPT and 37% dual antiplatelet therapy, DAPT). Among these individuals, 16% were discharged on a regimen that was different from the one on admission (11 947 (10.7%) of patients were upgraded to DAPT and 5813 (5.2%) were downgraded to SAPT).

CONCLUSIONS

Although statin use has substantially improved following CEA, more than half of individuals not on a statin preprocedure remained this way at discharge. In addition, DAPT at discharge was frequent, a quarter of whom were on SAPT preprocedure. Further efforts are needed to improve rates of new statin prescriptions, ensure appropriate APT intensity at discharge and determine how different discharge APT regimens impact outcomes.

Cardiovascular outcomes in children with Kawasaki disease: a population-based cohort study

BACKGROUND

The risk of cardiovascular events after Kawasaki disease (KD) remains uncertain. Our objective was to determine the risk of cardiovascular events and mortality after KD.

METHODS

Population-based retrospective cohort study using Ontario health administrative databases (0-18 years; 1995-2018).

EXPOSURE

pediatric KD hospitalizations. Each case was matched to 100 non-exposed controls.

PRIMARY OUTCOME

major adverse cardiac events (MACE; cardiovascular death, myocardial infarction, or stroke composite).

SECONDARY OUTCOMES

composite cardiovascular events and mortality. We determined incidence rates and adjusted hazard ratios (aHR) using multivariable Cox models.

RESULTS

Among 4597 KD survivors, 79 (1.7%) experienced MACE, 632 (13.8%) composite cardiovascular events, and 9 (0.2%) died during 11-year median follow-up. The most frequent cardiovascular events among KD survivors were ischemic heart disease (4.6 events/1000 person-years) and arrhythmias (4.5/1000 person-years). KD survivors were at increased risk of MACE between 0-1 and 5-10 years, and composite cardiovascular events at all time periods post-discharge. KD survivors had a lower mortality risk throughout follow-up (aHR 0.36, 95% CI 0.19-0.70).

CONCLUSION

KD survivors are at increased risk of post-discharge cardiovascular events but have a lower risk of death, which justifies enhanced cardiovascular disease surveillance in these patients.

IMPACT

Among 4597 Kawasaki disease (KD) survivors, 79 (1.7%) experienced major adverse cardiac events (MACE) and 632 (13.8%) had composite cardiovascular events during 11-year median follow-up. KD survivors had significantly higher risks of post-discharge MACE and cardiovascular events versus non-exposed children. Only nine KD survivors (0.2%) died during follow-up, and the risk of mortality was significantly lower among KD survivors versus non-exposed children. Childhood KD survivors should receive preventative counseling and cardiovascular surveillance, aiming to mitigate adult cardiovascular disease.

Statin therapy is associated with improved perioperative outcomes and long-term mortality following carotid revascularization in the Vascular Quality Initiative

OBJECTIVE

Statin therapy is the standard of care for patients with carotid artery stenosis given its proven cardiovascular benefits. However, the impact of statin therapy on outcomes in patients undergoing carotid revascularization in the Vascular Quality Initiative has not yet been evaluated. Therefore, our aim was to investigate the association of statin therapy with outcomes following carotid endarterectomy (CEA), transfemoral carotid artery stenting (tfCAS), and transcarotid artery revascularization (TCAR).

METHODS

We identified all patients who underwent CEA, tfCAS, or TCAR in the Vascular Quality Initiative registry from January 2016 to September 2021. To compare outcomes, we stratified patients by procedure type and created 1:1 propensity score-matched cohorts of patients who received no preoperative statin therapy (within 36 hours of procedure) versus those who received preoperative statin therapy. Propensity scores incorporated demographic characteristics, comorbidities, carotid symptom status, preoperative medications, and physician and hospital procedural experience. The primary outcome was a composite end point of in-hospital stroke and/or death. As a secondary analysis, we performed repeat propensity score-matching by postoperative statin use (prescribed at discharge) and assessed 5-year mortality. Relative risks (RR) and hazard ratios (HR) were calculated using log binomial regression and Cox regression, respectively.

RESULTS

Among 97,835 CEA, 20,303 tfCAS, and 22,371 TCAR patients, 15%, 17%, and 10% of patients did not receive preoperative statin therapy, respectively. Compared with statin use, no statin use was associated with a higher risk of in-hospital stroke or death among 13,434 matched CEA patients (no statin, 1.7% vs statin, 1.4%; RR, 1.2; 95% confidence interval [CI], 1.02-1.5) and among 2707 matched tfCAS patients (4.8% vs 2.8%; RR, 1.7; 95% CI, 1.3-2.3). However, there was no difference for this outcome by statin use among 2089 matched TCAR patients (1.8% vs 1.6%; RR, 1.1; 95% CI, 0.7-1.8). At 5 years, no statin therapy at discharge was associated with higher 5-year mortality after CEA (15% vs 10%; HR, 1.8; 95% CI, 1.6-2) and tfCAS (18% vs 14%; HR, 1.5; 95% CI, 1.2-1.8), but there was no difference after TCAR (14% vs 11%; HR, 1.3; 95% CI, 0.9-1.8).

CONCLUSIONS

Compared with statin use, no statin use was associated with a higher risk of in-hospital stroke or death and 5-year mortality among CEA and tfCAS patients. Although there was no significant difference in outcomes among TCAR patients, this may in part be due to lower statistical power in this cohort. Overall, statin therapy is essential in the short- and long-term management of patients undergoing carotid revascularization. Our findings not only support current Society for Vascular Surgery recommendations for statin therapy in patients undergoing carotid revascularization, but they also highlight an important opportunity for quality improvement.

Association between lipid profile changes and risk of in-stent restenosis in ischemic stroke patients with intracranial stenosis: A retrospective cohort study

OBJECTIVE

The risk of ischemic stroke with intracranial stenosis is associated with various serum lipid levels. However, the effects of changes in the lipid profile on the risk of in-stent restenosis have not been verified. Therefore, we investigated the association between the occurrence of in-stent restenosis at 12-month follow-up and changes in various lipid profiles.

METHODS

In this retrospective cohort study, we included ischemic stroke patients who had undergone intracranial stenting for symptomatic intracranial stenosis between February 2010 and May 2020. We collected data about serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG) levels, and calculated the TC/HDL-C and LDL-C/HDL-C ratios at baseline and after 12 months. We conducted multivariable logistic regression analyses to verify the association between various lipid profile changes and in-stent restenosis at 12 months.

RESULTS

Among the 100 patients included in the study (mean age, 60.8 ± 10.0 years; male: 80 [80.0%]), in-stent restenosis was found in 13 (13.0%) patients. The risk of in-stent restenosis of more than 50% was significantly decreased when TC/HDL-C ratio (odds ratio [OR] 0.22, [95% confidence interval (CI) 0.05-0.87]) and LDL-C/HDL-C ratio (OR 0.23, [95% CI 0.06-0.93]) decreased or when HDL-C levels (OR 0.10, [95% CI 0.02-0.63]) were increased at 12 months compared with baseline measurements.

CONCLUSIONS

Improvement of HDL-C levels, TC/HDL-C ratio, and LDL-C/HDL-C ratio were associated with decreased risk of in-stent restenosis at 12-month follow-up. Management and careful monitoring of various lipid profiles including HDL-C levels, TC/HDL-C ratio, and LDL-C/HDL-C ratio may be important to prevent in-stent restenosis in patients with intracranial stenting.

Serum LDL-C/HDL-C ratio and the risk of carotid plaques: a longitudinal study

BACKGROUND

Dyslipidemia contributes to an increased risk of carotid atherosclerosis. However, the association between the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C) and carotid plaque formation has not been well documented. This study aims to assess the role of LDL-C/HDL-C in the risk of carotid plaque formation in a Chinese population.

METHODS

We followed 2,191 participants who attended the annual routine health examination. Cox proportional hazards regression, restricted cubic spline (RCS), and subgroup analysis were applied to evaluate the association between the LDL-C/HDL-C ratio and carotid plaques. The hazard ratio (HR) and 95% confidence interval (CI) were used to estimate the strength of the association.

RESULTS

Among 2,191 participants, 388 had incident carotid plaques detected, with a median follow-up time of 1.05 years. Compared with subjects younger than 45 years, those aged 45 to 59 years (HR: 2.00, 95% CI: 1.55-2.58) and over 60 years (HR: 3.36, 95% CI: 2.47-4.58) had an increased risk of carotid plaque formation. Males (HR: 1.26, 95% CI: 1.01-1.56), diabetes (HR: 1.46, 95% CI: 1.06-2.01) and a high LDL-C/HDL-C ratio (HR: 1.22, 95% CI: 1.07-1.38) were significantly linked with the occurrence of carotid plaques. After adjusting for potential confounding factors, we observed that a high LDL-C/HDL-C ratio promoted carotid plaque events (HR: 1.30, 95% CI: 1.12-1.50). The RCS analysis revealed a significant nonlinear association. The association was stronger among females (P-interaction < 0.05).

CONCLUSION

A high LDL-C/HDL-C ratio could accelerate the occurrence of carotid plaques. Older men with diabetes and dyslipidemia are the critical target population. Women may be more likely to benefit from lipid-lowering interventions and thus avoid carotid plaque formation.

Cardiovascular adverse events in chronic myeloid leukemia patients treated with nilotinib or imatinib: A systematic review, meta-analysis and integrative bioinformatics analysis

OBJECTIVE

The aim of this article is to assess the risk and potential mechanisms of cardiovascular adverse events in patients treated with nilotinib or imatinib by conducting a systematic review, meta-analysis and integrative bioinformatics analysis.

MATERIALS AND METHODS

Three databases were systematically searched for studies published from inception to May 29, 2022. Differential expression analysis and weighted gene coexpression network analysis (WGCNA) were performed to search for modules of genes most associated with cardiotoxicity. Protein-protein interaction (PPI) network analysis was then performed to identify hub genes for the cardiotoxicity of nilotinib. Molecular docking was used to analyze the effects of rosuvastatin and aspirin on these targets.

RESULTS

Patients treated with nilotinib as first-line treatment were associated with a higher risk of CAE (OR = 3.43 [95% CI 2.77-4.25]), CAD (OR = 5.30 [95% CI 3.85-7.29]), ACS (OR 2.7 [95% CI 1.60-4.54]), CVA (OR 5.76 [95% CI 2.84-11.28]), PAOD (OR 5.57 [95% CI 3.26-9.50]) and arrhythmia (OR 2.34 [1.17,4.67]) than those treated with imatinib, while no significant difference was found in the risk of HF (OR 1.40 [95% CI 0.42-4.69]) between the two groups. Patients who were treated with more than 600 mg daily dosage of nilotinib or followed up for more than 5 years had a higher risk of ACS and CVA. IL6, CXCL8, CCL2, SOD2, NFKBIA, and BIRC3 were identified as the top 6 hub genes in the magenta module (human cardiomyocyte samples) and were mainly enriched in the NOD-like receptor signaling pathway, IL-17 signaling pathway, TNF signaling pathway, lipid and atherosclerosis signaling pathway. TYROBP and CSF1R were identified as hub genes in the turquoise module (liver samples from Mus musculus). GSEA results showed that type II diabetes mellitus, B-cell receptor, apoptosis, insulin, natural killer cell mediated cytotoxicity,mTOR, chemokine, and T-cell receptor signaling pathways were related to the higher risk of atherosclerosis caused by nilotinib. Rosuvastatin can effectively bind to most of the hub targets and proteins enriched in the inflammatory pathways above.

CONCLUSION

CML patients who start with nilotinib have a higher risk of CAE than those with imatinib. Atherosclerosis caused by the inflammatory response and glycolipid metabolism disorder is the key mechanism of nilotinib cardiotoxicity. Rosuvastatin may be an effective treatment for the cardiotoxicity of nilotinib.

Association between Statin Use and Risk of Parkinson’s Disease: Evidence from 18 Observational Studies Comprising 3.7 Million Individuals

The potential impact of statins on the risk of Parkinson’s disease (PD) is still controversial; therefore, we conducted a comprehensive meta-analysis of observational studies to examine the effect of statin use on the risk of PD. We searched electronic databases, such as PubMed, EMBASE, Scopus, and Web of Science, for articles published between 1 January 2000 and 15 March 2022. Cohort studies which examined the association between statins and PD risk in the general population were also included. Two authors assessed the data and extracted all potential information for analysis. Random effects meta-analyses were performed to measure the risk ratio (RR) and 95% confidence intervals (CIs). Eighteen cohort studies including 3.7 million individuals with 31,153 PD participants were identified. In statin users, compared with non-users, the RR for PD was 0.79 (95% CI: 0.68–0.91). In a subgroup analysis of PD, this association was observed with medium and high quality, and the studies were adjusted for age, gender, and smoking status. When the data were stratified according to the duration of exposure, long-duration statin use was associated with a decreased risk of PD (RR = 0.49; 95% CI: 0.26–0.92). There was no significant decrease in the risk of PD in short-term statin users (RR = 0.94; 95% CI: 0.67–1.31). Moreover, no significant difference in the reduction in the risk of PD was observed between men (RR = 0.80; 95% CI: 0.75–0.86) and women (RR = 0.80; 95% CI: 0.75–0.86). Although our findings confirm a reduction in the PD risk associated with statin treatment and suggest that statins play a clinically favorable role, these findings should be interpreted with caution. Future randomized control trials with an ad hoc design are needed to confirm the potential utility of statins in reducing the risk of PD.

Association of HbA1c with carotid artery plaques in patients with coronary heart disease: a retrospective clinical study

BACKGROUND AND AIMS

Haemoglobin A1c (HbA1c) levels have been shown to be related to carotid artery plaques. However, studies on the relationship between HbA1c levels and carotid artery plaques in patients with coronary heart disease (CHD) are limited and inconsistent. Our objective was to examine the correlation between HbA1c levels and carotid artery plaques in patients with CHD.

METHODS

The study comprised 9275 Chinese adults with CHD from January 1, 2014, to September 30, 2020. HbA1c levels were assessed, and colour Doppler ultrasound was used to evaluate the carotid artery, including plaque presence, intima-media thickness, and plaque echo properties, to investigate the association between HbA1c and carotid plaque. A logistic regression model was used to assess the association between carotid artery plaques, carotid plaque echogenicity, and HbA1c.

RESULTS

The HbA1c level of the plaque-present group was higher than that of the plaque-absent group [6.1 (5.6-7.2) vs. 5.8 (5.5-6.5), p < 0.001]. In multiple linear regression analysis, intima-media thickness was associated with HbA1c (p < 0.001). Logistic regression showed that a higher HbA1c level was associated with plaque incidence as well as hyperechoic and heterogeneous plaques (p < 0.001). These associations persist after adjusting for age, sex, blood pressure, lipid profiles, alcohol consumption, and tobacco exposure.

CONCLUSION

HbA1c levels are notably associated with carotid artery plaque incidence, intima-media thickness, and plaque echogenicity in patients with CHD. These findings show that different levels of HbA1c may be an indicator for carotid artery plaques and thus, should be observed in patients with CHD.

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

BACKGROUND

Early and automated detection of carotid plaques prevents strokes, which are the second leading cause of death worldwide according to the World Health Organization. Artificial intelligence (AI) offers automated solutions for plaque tissue characterization. Recently, solo deep learning (SDL) models have been used, but they do not take advantage of the tandem connectivity offered by AI's hybrid nature. Therefore, this study explores the use of hybrid deep learning (HDL) models in a multicenter framework, making this study the first of its kind.

METHODS

We hypothesize that HDL techniques perform better than SDL and transfer learning (TL) techniques. We propose two kinds of HDL frameworks: (i) the fusion of two SDLs (Inception with ResNet) or (ii) 10 other kinds of tandem models that fuse SDL with ML. The system Atheromatic™ 2.0_HDL (AtheroPoint, CA, USA) was designed on an augmentation framework and three kinds of loss functions (cross-entropy, hinge, and mean-square-error) during training to determine the best optimization paradigm. These 11 combined HDL models were then benchmarked against one SDL model and five types of TL models; thus, this study considers a total of 17 AI models.

RESULTS

Among the 17 AI models, the best performing HDL system was that comprising CNN and decision tree (DT), as its accuracy and area-under-the-curve were 99.78 ± 1.05% and 0.99 (p<0.0001), respectively. These values are 6.4% and 3.2% better than those recorded for the SDL and TL models, respectively. We validated the performance of the HDL models with diagnostics odds ratio (DOR) and Cohen and Kappa statistics; here, HDL outperformed DL and TL by 23% and 7%, respectively. The online system ran in <2 s.

CONCLUSION

HDL is a fast, reliable, and effective tool for characterizing the carotid plaque for early stroke risk stratification.

Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

Background and Purpose: Only 1-2% of the internal carotid artery asymptomatic plaques are unstable as a result of >80% stenosis. Thus, unnecessary efforts can be saved if these plaques can be characterized and classified into symptomatic and asymptomatic using non-invasive B-mode ultrasound. Earlier plaque tissue characterization (PTC) methods were machine learning (ML)-based, which used hand-crafted features that yielded lower accuracy and unreliability. The proposed study shows the role of transfer learning (TL)-based deep learning models for PTC. Methods: As pertained weights were used in the supercomputer framework, we hypothesize that transfer learning (TL) provides improved performance compared with deep learning. We applied 11 kinds of artificial intelligence (AI) models, 10 of them were augmented and optimized using TL approaches-a class of Atheromatic™ 2.0 TL (AtheroPoint™, Roseville, CA, USA) that consisted of (i-ii) Visual Geometric Group-16, 19 (VGG16, 19); (iii) Inception V3 (IV3); (iv-v) DenseNet121, 169; (vi) XceptionNet; (vii) ResNet50; (viii) MobileNet; (ix) AlexNet; (x) SqueezeNet; and one DL-based (xi) SuriNet-derived from UNet. We benchmark 11 AI models against our earlier deep convolutional neural network (DCNN) model. Results: The best performing TL was MobileNet, with accuracy and area-under-the-curve (AUC) pairs of 96.10 ± 3% and 0.961 (p < 0.0001), respectively. In DL, DCNN was comparable to SuriNet, with an accuracy of 95.66% and 92.7 ± 5.66%, and an AUC of 0.956 (p < 0.0001) and 0.927 (p < 0.0001), respectively. We validated the performance of the AI architectures with established biomarkers such as greyscale median (GSM), fractal dimension (FD), higher-order spectra (HOS), and visual heatmaps. We benchmarked against previously developed Atheromatic™ 1.0 ML and showed an improvement of 12.9%. Conclusions: TL is a powerful AI tool for PTC into symptomatic and asymptomatic plaques.

Management of Dyslipidaemia for the Prevention of Stroke: Clinical Practice Recommendations from the Lipid Association of India

Stroke is the second most common cause of death worldwide. The rates of stroke are increasing in less affluent countries predominantly because of a high prevalence of modifiable risk factors. The Lipid Association of India (LAI) has provided a risk stratification algorithm for patients with ischaemic stroke and recommended low density lipoprotein cholesterol (LDL-C) goals for those in a very high risk group and extreme risk group (category A) of <50 mg/dl (1.3 mmol/l) while the LDL-C goal for extreme risk group (category B) is ≤30 mg/dl (0.8 mmol/l). High intensity statins are the first-line lipid lowering therapy. Non-statin therapy like ezetimibe and proprotein convertase subtilisin kexin type 9 (PCSK9) inhibitors may be added as an adjunct to statins in patients who do not achieve LDL-C goals statins alone. In acute ischaemic stroke, high intensity statin therapy improves neurological and functional outcomes regardless of thrombolytic therapy. Although conflicting data exist regarding increased risk of intracerebral haemorrhage (ICH) with statin use, the overall benefit risk ratio favors long-term statin therapy necessitating detailed discussion with the patient. Patients who have statins withdrawn while being on prior statin therapy at the time of acute ischaemic stroke have worse functional outcomes and increased mortality. LAI recommends that statins be continued in such patients. In patients presenting with ICH, statins should not be started in the acute phase but should be continued in patients who are already taking statins. ICH patients, once stable, need risk stratification for atherosclerotic cardiovascular disease (ASCVD).

Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review

Background

Major adverse cardiovascular events (MACE) are increasingly used as composite outcomes in randomized controlled trials (RCTs) and observational studies. However, it is unclear how observational studies most commonly define MACE in the literature when using administrative data.

Methods

We identified peer-reviewed articles published in MEDLINE and EMBASE between January 1, 2010 to October 9, 2020. Studies utilizing administrative data to assess the MACE composite outcome using International Classification of Diseases 9th or 10th Revision diagnosis codes were included. Reviews, abstracts, and studies not providing outcome code definitions were excluded. Data extracted included data source, timeframe, MACE components, code definitions, code positions, and outcome validation.

Results

A total of 920 articles were screened, 412 were retained for full-text review, and 58 were included. Only 8.6% (n = 5/58) matched the traditional three-point MACE RCT definition of acute myocardial infarction (AMI), stroke, or cardiovascular death. None matched four-point (+unstable angina) or five-point MACE (+unstable angina and heart failure). The most common MACE components were: AMI and stroke, 15.5% (n = 9/58); AMI, stroke, and all-cause death, 13.8% (n = 8/58); and AMI, stroke and cardiovascular death 8.6% (n = 5/58). Further, 67% (n = 39/58) did not validate outcomes or cite validation studies. Additionally, 70.7% (n = 41/58) did not report code positions of endpoints, 20.7% (n = 12/58) used the primary position, and 8.6% (n = 5/58) used any position.

Conclusions

Components of MACE endpoints and diagnostic codes used varied widely across observational studies. Variability in the MACE definitions used and information reported across observational studies prohibit the comparison, replication, and aggregation of findings. Studies should transparently report the administrative codes used and code positions, as well as utilize validated outcome definitions when possible.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01440-5.

Statin Therapy and the Incidence of Thromboembolism and Vascular Events Following Liver Transplantation

Statin therapy may reduce the risk of venous thromboembolism (VTE), which may impact solid organ transplant outcomes. We evaluated the incidence of VTE and other complications after liver transplantation stratified by hyperlipidemia status and statin use using a retrospective cohort study approach. We reviewed all primary orthotopic liver transplantation (OLT) records from January 2014 to December 2019 from our center. Intraoperative deaths were excluded. Recipient, donor clinical and demographic data were collected. We developed risk-adjusted models to assess the effect of statin use on the occurrence of VTE, hepatic artery complications (HACs), graft failure, and death, accounting for clinical covariates and competing risks. A total of 672 OLT recipients were included in the analysis. Of this cohort, 11.9% (n = 80) received statin therapy. A total of 47 patients (7.0%) had VTE events. HACs occurred in 40 patients (6.0%). A total of 42 (6.1%) patients experienced graft loss, whereas 9.1% (n = 61) of the cohort died during the study interval. Eighty OLT recipients (29.8%) were treated with statins. In the statin treated group, 0% of patients had VTE versus 7.9% of those not on statins (P = 0.02). HACs were identified in 1.2% of the statin group and 6.8% of the nonstatin group. Untreated hyperlipidemia was associated with a 2.1-fold higher risk of HACs versus patients with no hyperlipidemia status (P = 0.05). Statin therapy was associated with significantly better risk-adjusted thromboembolic event-free survival (absence of VTE, cerebrovascular accident, myocardial infarction, HACs, and death); hazard ratio, 2.7; P = 0.01. These data indicate that statin therapy is correlated with a lower rate of VTE and HACs after liver transplantation.

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound

The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ 2.0 (AtheroPoint™, Roseville, CA) for the common carotid artery (CCA). This study focuses on automated plaque segmentation in the internal carotid artery (ICA) using solo deep learning (SDL) and hybrid deep learning (HDL) models. The methodology consists of a novel design of 10 types of SDL/HDL models (AtheroEdge™ 3.0 systems (AtheroPoint™, Roseville, CA) with a depth of four layers each. Five of the models use cross-entropy (CE)-loss, and the other five models use Dice similarity coefficient (DSC)-loss functions derived from UNet, UNet+, SegNet, SegNet-UNet, and SegNet-UNet+. The K10 protocol (Train:Test:90%:10%) was applied for all 10 models for training and predicting (segmenting) the plaque region, which was then quantified to compute the plaque area in mm². Further, the data augmentation effect was analyzed. The database consisted of 970 ICA B-mode US scans taken from 99 moderate to high-risk patients. Using the difference area threshold of 10 mm² between ground truth (GT) and artificial intelligence (AI), the area under the curve (AUC) values were 0.91, 0.911, 0.908, 0.905, and 0.898, all with a p-value of <0.001 (for CE-loss models) and 0.883, 0.889, 0.905, 0.889, and 0.907, all with a p-value of <0.001 (for DSC-loss models). The correlations between the AI-based plaque area and GT plaque area were 0.98, 0.96, 0.97, 0.98, and 0.97, all with a p-value of <0.001 (for CE-loss models) and 0.98, 0.98, 0.97, 0.98, and 0.98 (for DSC-loss models). Overall, the online system performs plaque segmentation in less than 1 s. We validate our hypothesis that HDL and SDL models demonstrate comparable performance. SegNet-UNet was the best-performing hybrid architecture.

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the United States of America and globally. Carotid arterial plaque, a cause and also a marker of such CVD, can be detected by various non-invasive imaging modalities such as magnetic resonance imaging (MRI), computer tomography (CT), and ultrasound (US). Characterization and classification of carotid plaque-type in these imaging modalities, especially into symptomatic and asymptomatic plaque, helps in the planning of carotid endarterectomy or stenting. It can be challenging to characterize plaque components due to (I) partial volume effect in magnetic resonance imaging (MRI) or (II) varying Hausdorff values in plaque regions in CT, and (III) attenuation of echoes reflected by the plaque during US causing acoustic shadowing. Artificial intelligence (AI) methods have become an indispensable part of healthcare and their applications to the non-invasive imaging technologies such as MRI, CT, and the US. In this narrative review, three main types of AI models (machine learning, deep learning, and transfer learning) are analyzed when applied to MRI, CT, and the US. A link between carotid plaque characteristics and the risk of coronary artery disease is presented. With regard to characterization, we review tools and techniques that use AI models to distinguish carotid plaque types based on signal processing and feature strengths. We conclude that AI-based solutions offer an accurate and robust path for tissue characterization and classification for carotid artery plaque imaging in all three imaging modalities. Due to cost, user-friendliness, and clinical effectiveness, AI in the US has dominated the most.

Incidence and predictors of prolonged hemodynamic depression after carotid artery stenting: Yet another benefit of statins?

OBJECTIVES

We aimed to assess the incidence and predictors of prolonged hemodynamic depression (PHD) after carotid artery stenting (CAS).

METHODS

We retrospectively analyzed data from 216 CAS procedures performed in 207 patients (156 male; median and interquartile range (IQR) of age 68 (62-73) yr) between July 2012 and October 2020. PHD was defined as hypotension (systolic blood pressure ≤ 90 mmHg) and/or bradycardia (heart rate < 60 bpm) lasting >1 h.

RESULTS

The incidence of PHD was 25.9%. At multivariate analysis, asymptomatic lesions (OR: 2.43, 95% CI (1.16-5.06), p: 0.018), the stenosis proximity (<10 mm) to bifurcation (OR: 2.94, 95% CI (1.34-6.43), p: 0.007) and implantation of a Protege stent (OR: 2.93, 95% CI (1.14-7.53), p: 0.025) were independent risk factors, while statin usage (OR: 0.48, 95% CI (0.24-0.95), p: 0.036) was an independent protective factor for PHD after CAS.

CONCLUSIONS

Patients with asymptomatic lesions and stenosis close to the bifurcation are more prone to PHD. The type of the stent selected significantly influences the risk of PHD. Further prospective randomized studies are warranted to investigate the possible protective role of statins against PHD after CAS.

Role of Blood Lipid Levels and Lipid-Lowering Therapy in Stroke Patients with Different Levels of Cerebral Artery Diseases: Reconsidering Recent Stroke Guidelines

Hyperlipidemia is an important risk factor for ischemic stroke; the Stroke Prevention by Aggressive Reduction in Cholesterol Level and Treat Stroke to Target studies have shown that statins are beneficial for patients with stroke and that a low target for low-density lipoprotein cholesterol (LDL-C) concentration may maximize this benefit. Based on these results, recent guidelines have emphasized the application of "high-intensity statins" and "low LDL-C target" strategies in patients with stroke. However, it should be kept in mind that the role of blood lipids as a risk factor and benefit of lipid-lowering therapy are different among patients with different levels of cerebral arterial diseases. Studies have suggested that hypolipidemia, but not hyperlipidemia, is a risk factor for small vessel diseases (SVDs) such as intracerebral hemorrhages, microbleeds, white matter hyperintensities, and perhaps, lacunar infarction. Although lipid-lowering agents might benefit certain patients with SVD, high-intensity statin and low LDL-C target strategies cannot be applied. In contrast, these strategies are important in patients with extracranial atherosclerosis, such as internal carotid disease, considering ample evidence of the benefits of lipid-lowering agents. Imaging studies have shown that statins stabilize vulnerable plaques in these patients. Although lipid-lowering agents are likely to benefit patients with intracranial atherosclerosis, the degree of their benefit and appropriate target LDL-C level for these patients remain unclear. More studies are needed to elucidate the appropriate lipid-modifying strategies in patients with stroke with different levels of cerebral artery disease.

Stroke Rates Following Surgical Versus Percutaneous Revascularization for Ischemic Heart Disease

PURPOSE OF REVIEW

Coronary revascularization is a commonly performed major procedure in the hospitals. Stroke is one of the dreaded complications after coronary revascularization procedures. The focus of this review is to understand the stroke risk in percutaneous cutaneous intervention (PCI) and coronary artery bypass grafting (CABG) procedures.

RECENT FINDINGS

Available data show that PCI offers less procedural stroke risk compared to CABG although the survival benefits of CABG are better in certain scenarios. Innovative advancements in techniques, pre-procedural optimum medical therapy (OMT), intraoperative neuro-monitoring, and multidisciplinary post procedural care are the few strategies in early detection and reduce stroke risk. Despite several innovations and strategies, it is evident that there is not enough data available to make concrete conclusions related to stroke risk after coronary revascularization, which warrants further investigation.

Impact of statin pretreatment on the complications of carotid stenting in asymptomatic patients: observational study

Background

Carotid stenosis is a known risk factor for ischemic stroke, and carotid artery stenting is an effective preventive procedure. However, the stroke risk reduction for asymptomatic patients is small. Therefore, it is important to reduce the risk of complications, particularly in asymptomatic carotid stenosis. Statins are known to reduce the overall risk of periprocedural complications, although there is a lack of data focusing on asymptomatic patients. We aimed to investigate whether different doses of statin pretreatment can reduce periprocedural complications of carotid artery stenting (CAS) in patients with asymptomatic carotid artery stenosis.

Methods

Between July 2003 and June 2013, 276 consecutive patients received CAS for asymptomatic carotid stenosis. Periprocedural complications included the outcome of stroke, myocardial infarction, or death within 30 days of CAS. Statin pretreatment was categorized as no-statin (n = 87, 31.5%), standard-dose (< 40 mg, n = 139, 50.4%), and high-dose statin (≥40 mg, n = 50, 18.1%) according to the atorvastatin equivalent dose. The Cochran-Armitage (CA) trend test was performed to investigate the association of periprocedural complications with statin dose.

Results

The overall periprocedural complication rate was 3.3%. There was no significant difference in the risk of periprocedural complications between the three groups (no statin: n = 3 [3.4%]; standard-dose: n = 4 [2.9%]; high-dose n = 2 [4.0%] p = 0.923). The CA trend test did not demonstrate a trend in the proportion of periprocedural complications across increasing statin equivalent doses (p = 0.919).

Conclusions

Statin pretreatment before CAS showed neither absolute nor dose-dependent effects against periprocedural complications in asymptomatic patients undergoing CAS.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02104-z.

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

BACKGROUND AND PURPOSE

Atherosclerotic plaque tissue rupture is one of the leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular morbidity and mortality. Manual ultrasound plaque classification and characterization methods are time-consuming and can be imprecise due to significant variations in tissue characteristics. We report a novel artificial intelligence (AI)-based plaque tissue classification and characterization system.

METHODS

We hypothesize that symptomatic plaque is hypoechoic due to its large lipid core and minimal collagen, as well as its heterogeneous makeup. Meanwhile, asymptomatic plaque is hyperechoic due to its small lipid core, abundant collagen, and the fact that it is often calcified. We designed a computer-aided diagnosis (CADx) system consisting of three kinds of deep learning (DL) classification paradigms: Deep Convolutional Neural Network (DCNN), Visual Geometric Group-16 (VGG16), and transfer learning, (tCNN). DCNN was 3-D optimized by varying the number of CNN layers and data augmentation frameworks. The DL systems were benchmarked against four types of machine learning (ML) classification systems, and the CADx system was characterized using two novel strategies consisting of DL mean feature strength (MFS) and a bispectrum model using higher-order spectra.

RESULTS

After balancing symptomatic and asymptomatic plaque classes, a five-fold augmentation process was applied, yielding 1000 carotid scans in each class. Then, using a K10 protocol (trained to test the ratio of 90%-10%), tCNN and DCNN yielded accuracy (area under the curve (AUC)) pairs of 83.33%, 0.833 (p < 0.0001) and 95.66%, 0.956 (p < 0.0001), respectively. DCNN was superior to ML by 7.01%. As part of the characterization process, the MFS of the symptomatic plaque was found to be higher compared to the asymptomatic plaque by 17.5% (p < 0.0001). A similar pattern was seen in the bispectrum, which was higher for symptomatic plaque by 5.4% (p < 0.0001). It took <2 s to perform the online CADx process on a supercomputer.

CONCLUSIONS

The performance order of the three AI systems was DCNN > tCNN > ML. Bispectrum-based on higher-order spectra proved a powerful paradigm for plaque tissue characterization. Overall, the AI-based systems offer a powerful solution for plaque tissue classification and characterization.

Non-cardiac surgery in patients with coronary artery disease: risk evaluation and periprocedural management

Perioperative cardiovascular complications are important causes of morbidity and mortality associated with non-cardiac surgery, particularly in patients with coronary artery disease (CAD). Although preoperative cardiac risk assessment can facilitate the identification of vulnerable patients and implementation of adequate preventive measures, excessive evaluation might lead to undue resource utilization and surgical delay. Owing to conflicting data, there remains some uncertainty regarding the most beneficial perioperative strategy for patients with CAD. Antithrombotic agents are the cornerstone of secondary prevention of ischaemic events but substantially increase the risk of bleeding. Given that 5-25% of patients undergoing coronary stent implantation require non-cardiac surgery within 2 years, surgery is the most common reason for premature cessation of dual antiplatelet therapy. Perioperative management of antiplatelet therapy, which necessitates concomitant evaluation of the individual thrombotic and bleeding risks related to both clinical and procedural factors, poses a recurring dilemma in clinical practice. Current guidelines do not provide detailed recommendations on this topic, and the optimal approach in these patients is yet to be determined. This Review summarizes the current data guiding preoperative risk stratification as well as periprocedural management of patients with CAD undergoing non-cardiac surgery, including those treated with stents.

MicroRNAs as sentinels and protagonists of carotid artery thromboembolism

Stroke is the leading cause of serious disability in the world and a large number of ischemic strokes are due to thromboembolism from unstable carotid artery atherosclerotic plaque. As it is difficult to predict plaque rupture and surgical treatment of asymptomatic disease carries a risk of stroke, carotid disease continues to present major challenges with regard to clinical decision-making and revascularization. There is therefore an imminent need to better understand the molecular mechanisms governing plaque instability and rupture, as this would allow for the development of biomarkers to identify at-risk asymptomatic carotid plaque prior to disease progression and stroke. Further, it would aid in creation of therapeutics to stabilize carotid plaque. MicroRNAs (miRNAs) have been implicated as key protagonists in various stages of atherosclerotic plaque initiation, development and rupture. Notably, they appear to play a crucial role in carotid artery thromboembolism. As the molecular pathways governing the role of miRNAs are being uncovered, we are learning that their involvement is complex, tissue- and stage-specific, and highly selective. Notably, miRNAs can be packaged and secreted in extracellular vesicles (EVs), where they participate in cell-cell communication. The measurement of EV-encapsulated miRNAs in the circulation may inform disease mechanisms occurring in the plaque itself, and therefore may serve as sentinels of unstable plaque as well as therapeutic targets.

Prospective study of hemoglobin A1c and incident carotid artery plaque in Chinese adults without diabetes

Background

Diabetes has been reported to be associated with carotid artery plaque (CAP). However, it remains unclear whether hemoglobin A1c (HbA1c) level, a marker for long-term glycemic status, is associated with altered CAP risk in individuals with fasting blood glucose (FBG) concentrations below the current cutoff for diabetes.

Methods

Included were 16,863 Chinese adults (aged 18 years or more; 9855 men and 7008 women) with fasting blood glucose < 7.0 mmol/L at baseline (2013). Both HbA1c level and CAP (assessed via ultrasound B-mode imaging) were annually assessed during 2014–2018. All the participants were further classified into three groups based on baseline HbA1c level: ≤ 5.6%, 5.7–6.4%, and ≥ 6.5%. We used Cox proportional-hazards model to evaluate the association between HbA1c level and incident CAP, adjusting for a series of potential confounders.

Results

During 5 years of follow up, 3942 incident CAP cases were identified. Individuals with higher baseline HbA1c had higher future risk of CAP (p-trend < 0.001). In the full-adjusted model, each percent increase of HbA1c was associated with a 56% (HR = 1.56, 95% CI 1.37, 1.78) higher risk of CAP. Excluding participants with chronic inflammation, as assessed by high-sensitivity C-reactive protein and white blood cell, and those with FBG ≥ 5.6 mmol/L at baseline generated similar results.

Conclusions

Elevated HbA1c level was associated with high risk of developing CAP in Chinese adults without FBG defined diabetes.

Clinical efficacy and safety of statin treatment after carotid artery stenting

Objective: The randomized controlled trail was carried out to investigate the influence of statin pre-treatment on clinical efficacy of carotid artery stenting (CAS). Methods: 160 eligible patients were randomly divided into statin group (n = 82) and control group (n = 78). The patients in statin group received 40 mg atorvastatin daily 7 days before operation. Major endpoints included transient ischemic attack (TIA), stroke, death, myocardial infarction (MI), and other cardiac adverse events within 30 days after CAS. Results: Preoperative baseline information was similar between the statin and control groups (p > 0.05 for all). Within 48 h after operation, the occurrence rate of CIN (3.66% vs 8.97%, p = .019) and new infarction (4.88% vs. 14.10%, p = .045) were significantly lower in statin group than in control group. 30 days after CAS, the incidences of TIA (12.20% vs. 26.92%, p = .018), ischemic stroke (6.10% vs. 16.67%, p = .034), and other cardiac complications (7.32% vs. 19.23%, p = .026) were also significantly lower in statin group, than in the control group. Multiple analysis demonstrated that statin use exerted protective effect against ischemic stroke (OR = 0.038, 95% CI = 0.003-0.543, p = .016) and other cardiac complications (OR = 0.208, 95%CI = 0.063-0.694, p = .011). Conclusion: Pre-treatment with statin is an effective and safe strategy to prevent from perioperative complications and to improve postoperative outcomes in patients undergoing CAS.