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Specialty: Cardiology
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Total 295 results found since Jan 2013.

Lifestyle modification and cognitive function among individuals with resistant hypertension: cognitive outcomes from the TRIUMPH trial
Background: Resistant hypertension is associated with increased risk of cognitive decline, stroke, and dementia. Lifestyle modification has been suggested to improve cognitive function through its salutary effects on vascular function. Methods: Participants included 140 patients with resistant hypertension participating in the TRIUMPH trial. Participants were randomized to a cardiac rehabilitation-based lifestyle program (C-LIFE) or a standardized education and physician advice condition (SEPA). Participants completed a 45-min cognitive test battery consisting of tests of Executive Functioning and Learning, Memo...
Source: Journal of Hypertension - July 1, 2022 Category: Cardiology Tags: ORIGINAL ARTICLES Source Type: research

Application of Artificial Intelligence to Assess the Risks of Simultaneous Operations for Patients with Concomitant Atherosclerotic Damage of Coronary and Carotid Arteries
CONCLUSION: Application of artificial intelligence for determining risk predictors for patients with concurrent atherosclerotic damage of the coronary and carotid arteries is an effective method for prognosticating the risks of simultaneous interventions.PMID:35993002 | PMC:PMC9376756 | DOI:10.17691/stm2022.14.1.06
Source: Atherosclerosis - August 22, 2022 Category: Cardiology Authors: L N Ivanov V G Petrenko N I Grishina А S Mukhin Source Type: research

Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learning
CONCLUSION: M1 macrophages is an important cause of unstable plaque formation, and CD68, PAM, and IGFBP6 could be used as diagnostic markers to identify unstable plaques effectively.PMID:36211422 | PMC:PMC9537477 | DOI:10.3389/fimmu.2022.956078
Source: Atherosclerosis - October 10, 2022 Category: Cardiology Authors: Jing Wang Zijian Kang Yandong Liu Zifu Li Yang Liu Jianmin Liu Source Type: research

Proteomics profiling reveals a distinct high-risk molecular subtype of hypertrophic cardiomyopathy
Conclusions Our prospective plasma proteomics study not only exhibited the presence of HCM molecular subtypes but also identified pathobiological mechanisms associated with a distinct high-risk subtype of HCM.
Source: Heart - October 28, 2022 Category: Cardiology Authors: Liang, L. W., Raita, Y., Hasegawa, K., Fifer, M. A., Maurer, M. S., Reilly, M. P., Shimada, Y. J. Tags: Heart failure and cardiomyopathies Source Type: research

Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning
ConclusionsThese encouraging results suggest that this method will allow for high throughput video-rate atherosclerotic plaque assessment through automated tissue characterization for in vivo imaging by providing faster screening to assist in guided decision making during percutaneous coronary interventions.PMID:36307914 | DOI:10.1117/1.JBO.27.10.106006
Source: Atherosclerosis - October 29, 2022 Category: Cardiology Authors: Jose J Rico-Jimenez Javier A Jo Source Type: research

Risk factors for cardiovascular disease  in patients with metabolic-associated fatty liver disease: a machine learning approach
CONCLUSION: A ML approach demonstrated high performance in identifying MAFLD patients with prevalent CVD based on the easy-to-obtain patient parameters.PMID:36371249 | DOI:10.1186/s12933-022-01672-9
Source: Atherosclerosis - November 12, 2022 Category: Cardiology Authors: Karolina Dro żdż Katarzyna Nabrdalik Hanna Kwiendacz Mirela Hendel Anna Olejarz Andrzej Tomasik Wojciech Bartman Jakub Nalepa Janusz Gumprecht Gregory Y H Lip Source Type: research

Not to be sneezed at: cardiovascular disease after COVID-19 infection
COVID-19 has changed our way of life since it was first identified in December of 2019. While our understanding of the manifestations and outcomes of the immediate acute illness has improved, we are still learning about the medium to long-term impact of this diagnosis on patients’ health. For some time, it has been suggested that COVID-19 may be associated with incident cardiovascular events such as venous thromboembolism, stroke and myocardial infarction.1 However, the absolute risk of these events and whether an excess risk is present are challenging to determine without a contemporary reference population. This is...
Source: Heart - December 22, 2022 Category: Cardiology Authors: Bularga, A., Newby, D. E., Chapman, A. R. Tags: Press releases, COVID-19 Editorials Source Type: research

Deep-Learning for Epicardial Adipose Tissue Assessment With Computed  Tomography: Implications for Cardiovascular Risk Prediction
CONCLUSIONS: Automated assessment of EAT volume is possible in CCTA, including in patients who are technically challenging; it forms a powerful marker of metabolically unhealthy visceral obesity, which could be used for cardiovascular risk stratification.PMID:36881425 | DOI:10.1016/j.jcmg.2022.11.018
Source: Atherosclerosis - March 7, 2023 Category: Cardiology Authors: Henry W West Muhammad Siddique Michelle C Williams Lucrezia Volpe Ria Desai Maria Lyasheva Sheena Thomas Katerina Dangas Christos P Kotanidis Pete Tomlins Ciara Mahon Attila Kardos David Adlam John Graby Jonathan C L Rodrigues Cheerag Shirodaria John Dean Source Type: research

Development and validation of explainable machine-learning models for carotid atherosclerosis early screening
CONCLUSIONS: The ML models developed could provide good performance for CAS identification using routine health check-up indicators and could hopefully be applied in scenarios without ethnic and geographic heterogeneity for CAS prevention.PMID:37246225 | DOI:10.1186/s12967-023-04093-8
Source: Atherosclerosis - May 28, 2023 Category: Cardiology Authors: Ke Yun Tao He Shi Zhen Meihui Quan Xiaotao Yang Dongliang Man Shuang Zhang Wei Wang Xiaoxu Han Source Type: research

Plain language summary of results from ORION-10 and ORION-11: Two studies to learn how well inclisiran works in people with high cholesterol
Future Cardiol. 2023 Jun 6. doi: 10.2217/fca-2022-0133. Online ahead of print.ABSTRACTWHAT IS THIS PLAIN LANGUAGE SUMMARY ABOUT?: This is a summary of the article describing the results of the ORION-10 and ORION-11 studies, which was published in the New England Journal of Medicine in April 2020. The studies included adult participants with atherosclerotic cardiovascular disease (ASCVD). ASCVD happens when the blood vessels that carry blood from the heart to other areas of the body are blocked by fatty build-up (plaque) causing a heart attack, stroke, or other problems. High levels of low-density lipoprotein cholesterol (L...
Source: Atherosclerosis - June 7, 2023 Category: Cardiology Authors: Kausik K Ray R Scott Wright Source Type: research

Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
CONCLUSION: FF and NID can serve as useful imaging markers of symptomatic carotid plaques. This tree-based machine learning model incorporating both DECT and clinical features could potentially comprise a non-invasive method for identification of symptomatic carotid plaques to guide clinical treatment strategies.PMID:37290153 | DOI:10.1016/j.jstrokecerebrovasdis.2023.107209
Source: Atherosclerosis - June 8, 2023 Category: Cardiology Authors: Ling-Jie Wang Pei-Qing Zhai Li-Li Xue Cai-Yun Shi Qian Zhang Hua Zhang Source Type: research