Imaging subclinical atherosclerosis in cardiovascular risk stratification

Kozàkovà, M.; Palombo, Carlo

doi:10.1177/2047487320916589

Cited by 10 publications

(5 citation statements)

References 13 publications

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Section: Introductionmentioning

confidence: 99%

“…Accordingly, the research on cardiovascular prevention and risk stratification focuses, in addition to large genomic datasets, on biomarkers, 3 metabolic phenotypes, imaging, 4,5 both ultrasound and radiological, and on their integration, favoured by artificial intelligence applications. 1,6 Accordingly, a basic knowledge of this science is essential; therefore, in this review, we have reported several applications of artificial intelligence in cardiovascular prevention, without neglecting the limitations of this new scientific approach.…”

Section: Introductionmentioning

confidence: 99%

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Artificial intelligence in cardiovascular prevention: new ways will open new doors

Ciccarelli

Giallauria

Carrizzo

et al. 2023

Journal of Cardiovascular Medicine

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Prevention and effective treatment of cardiovascular disease are progressive issues that grow in tandem with the average age of the world population. Over recent decades, the potential role of artificial intelligence in cardiovascular medicine has been increasingly recognized because of the incredible amount of real-world data (RWD) regarding patient health status and healthcare delivery that can be collated from a variety of sources wherein patient information is routinely collected, including patient registries, clinical case reports, reimbursement claims and billing reports, medical devices, and electronic health records. Like any other (health) data, RWD can be analysed in accordance with high-quality research methods, and its analysis can deliver valuable patient-centric insights complementing the information obtained from conventional clinical trials. Artificial intelligence application on RWD has the potential to detect a patient's health trajectory leading to personalized medicine and tailored treatment. This article reviews the benefits of artificial intelligence in cardiovascular prevention and management, focusing on diagnostic and therapeutic improvements without neglecting the limitations of this new scientific approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in cardiovascular prevention: new ways will open new doors

Ciccarelli

Giallauria

Carrizzo

et al. 2023

Journal of Cardiovascular Medicine

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“…It is estimated by the World Health Organization (WHO) that 80% of premature CVDs can be prevented with modification of lifestyle behaviours such as eating habits, tobacco use, and physical inactivity ( WHO and Consultation, 2003 ; World Health Organization, 2016 ). Cardiovascular imaging can be used to screen asymptomatic individuals for increased risk of CVD to inform preventive measures ( World Health Organization, 2016 ; World Health Organization, 2017 ; Kozakova and Palombo, 2020 ). Several guidelines for primary prevention of CVD (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…European guidelines on CVD prevention in clinical practice, US Preventive Services Task Force recommendation statement, American College of Cardiology/American Heart Association guideline for assessment of cardiovascular risk in asymptomatic adults) support the use of cardiovascular imaging for early identification of cardiovascular risk, risk classification and to inform CVD management in asymptomatic adults ( US Preventive Services Task Force*, 2009 ; Greenland et al , 2010 ; Goff et al , 2014 ; Piepoli et al , 2016 ). Individuals identified as having an increased CVD risk due to elevated coronary artery calcium (CAC) scores, carotid plaque or increased carotid intima-media thickness (CIMT) after imaging, are usually advised to make lifestyle modifications including adopting a healthier diet, engaging in regular physical activity, and quitting smoking to potentially reduce the progression of CVD ( US Preventive Services Task Force*, 2009 ; Greenland et al , 2010 ; Goff et al , 2014 ; Piepoli et al , 2016 ; Kozakova and Palombo, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Impact of vascular screening interventions on perceived threat, efficacy beliefs and behavioural intentions: a systematic narrative review

Anokye

Jackson

Dimmock

et al. 2023

Health Promotion International

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Summary Health-related behaviours contribute to the global burden of cardiovascular disease (CVD). Cardiovascular imaging can be used to screen asymptomatic individuals for increased risk of CVD to enable earlier interventions to promote health-related behaviours to prevent or reduce CVD risk. Some theories of behaviour and behaviour change assume that engagement in a given behaviour is a function of individual threat appraisals, beliefs regarding the performance of behaviour, self-efficacy for performing the desired behaviour and/or dispositions to act (e.g. behavioural intentions). To date, little is known about the impact of cardiovascular imaging interventions on these constructs. This article summarises evidence related to perceived threat, efficacy beliefs, and behavioural intentions after CVD screening. We identified 10 studies (2 RCTs and 8 non-randomised studies, n = 2498) through a combination of screening citations from published systematic reviews and meta-analyses and searching electronic databases. Of these, 7 measured behavioural intentions and perceived susceptibility and 3 measured efficacy beliefs. Findings showed largely encouraging effects of screening interventions on bolstering self-efficacy beliefs and strengthening behavioural intentions. Imaging results that suggest the presence of coronary or carotid artery disease also increased perceived susceptibility to CVD. However, the review also identified some gaps in the literature, such as a lack of guiding theoretical frameworks and assessments of critical determinants of health-related behaviours. By carefully considering the key issues highlighted in this review, we can make significant strides towards reducing CVD risks and improving population health.

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“…Неинвазивная визуализация атеросклероза является одним из наиболее распространенных подходов к уточнению кардиоваскулярного риска (КВР) у бессимптомных пациентов [1]. В соответствии с актуальными клиническими рекомендациями с данной целью рекомендовано проведение дуплексного сканированиях (ДС) сонных (СА) и/ или бедренных артерий, а также мультиспиральная компьютерная томография с оценкой коронарного кальция [2][3][4].…”

Section: Introductionunclassified

Value of duplex ultrasound of carotid and lower extremity arteries in the restratification of cardiovascular risk and initiation of lipid-lowering therapy

Генкель

Kuznetsova

Pykhova

et al. 2021

Cardiovasc Ther Prev

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Aim. To study the role of duplex ultrasound (DU) of carotid and lower extremity arteries in the restratification of cardiovascular risk (CVR) and changing the indications for lipid-lowering therapy.Material and methods. The study included 291 patients aged 40-64 years without established atherosclerotic cardiovascular diseases. All patients underwent DU of carotid and.Results. Carotid DU make it possible to restratify 140 (65,7%) patients with low/moderate CVR (out of 213) into the category of high/very high CVR. Lower extremity artery DU resulted in the restratification of 101 (47,4%) patients with low/moderate CVR (out of 213) into the category of high/very high CVR. The use of a multifocal ultrasound technique demonstrated the highest restratification power and allowed 161 (75,6%) patients (out of 213) to be assigned to the high/very high CVR group. The use of peripheral arterial DU led to an increase in the number of high-risk patients by 2,33-3,02 times. The proportion of persons with indications for lipid-lowering therapy increased from 50 (21,0%) patients to 170 (71,4%).Conclusion. In patients aged 40-64 years without established atherosclerotic cardiovascular diseases, the use of DU of carotid and lower extremity arteries made it possible to classify 75,6% of patients with low/moderate CVR in the group of patients with high and very high CVR. According to CVR reclassification, the proportion of patients with indications for lipid-lowering therapy increased from 21,0 to 71,4% of patients.

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Imaging subclinical atherosclerosis in cardiovascular risk stratification

Cited by 10 publications

References 13 publications

Artificial intelligence in cardiovascular prevention: new ways will open new doors

Artificial intelligence in cardiovascular prevention: new ways will open new doors

Impact of vascular screening interventions on perceived threat, efficacy beliefs and behavioural intentions: a systematic narrative review

Value of duplex ultrasound of carotid and lower extremity arteries in the restratification of cardiovascular risk and initiation of lipid-lowering therapy

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