Filtered By:
Source: Atherosclerosis
Education: Learning
This page shows you your search results in order of date.
Order by Relevance | Date
Total 65 results found since Jan 2013.
Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes
CONCLUSIONS: Incidental CAC ≥100 was associated with an increased risk of all-cause death and adverse cardiovascular outcomes, beyond traditional risk factors. DL-CAC from routine non-ECG-gated CTs identifies patients at increased cardiovascular risk and holds promise as a tool for opportunistic screening to facilitate earlier intervention.PMID:37704309 | DOI:10.1016/j.jacc.2023.06.040
Source: Atherosclerosis - September 13, 2023 Category: Cardiology Authors: Allison W Peng Ramzi Dudum Sneha S Jain David J Maron Bhavik N Patel Nishith Khandwala David Eng Akshay S Chaudhari Alexander T Sandhu Fatima Rodriguez Source Type: research
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
Rheumatol Int. 2023 Aug 30. doi: 10.1007/s00296-023-05415-1. Online ahead of print.ABSTRACTThe challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA. To enhance the accuracy of CVD/Stroke risk assessment in the RA...
Source: Atherosclerosis - August 30, 2023 Category: Cardiology Authors: Mustafa Al-Maini Mahesh Maindarkar George D Kitas Narendra N Khanna Durga Prasanna Misra Amer M Johri Laura Mantella Vikas Agarwal Aman Sharma Inder M Singh George Tsoulfas John R Laird Gavino Faa Jagjit Teji Monika Turk Klaudija Viskovic Zoltan Ruzsa Sop Source Type: research
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
Diagnostics (Basel). 2023 Aug 7;13(15):2614. doi: 10.3390/diagnostics13152614.ABSTRACTThe carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both invasive and non-invasive methods are used to detect plaque buildup in the arteries, with ultrasound imaging being the first line of diagnosis. This paper presents a comprehensive review of the existing literature on ultrasound image analysis methods for detecting and characterizing plaque buildup in the carotid artery. The r...
Source: Atherosclerosis - August 12, 2023 Category: Cardiology Authors: Najmath Ottakath Somaya Al-Maadeed Susu M Zughaier Omar Elharrouss Hanadi Hassen Mohammed Muhammad E H Chowdhury Ahmed Bouridane Source Type: research
A comparative effectiveness study of carotid intervention for long-term stroke prevention in patients with severe asymptomatic stenosis from a large integrated health system
CONCLUSIONS: In this contemporary cohort study of patients with ACS utilizing rigorous analytic methodology, CEA appears to have a small but statistically significant effect on stroke prevention out to 8 years. Further study is needed to appropriately select the subset of patients most likely to benefit from intervention.PMID:37406943 | DOI:10.1016/j.jvs.2023.06.024
Source: Atherosclerosis - July 5, 2023 Category: Cardiology Authors: Robert W Chang Noel Pimentel Lue-Yen Tucker Kara A Rothenberg Andrew L Avins Alexander C Flint Rishad M Faruqi Mai N Nguyen-Huynh Romain Neugebauer Source Type: research
Development and validation of a prediction model to predict major adverse cardiovascular events in elderly patients undergoing noncardiac surgery: A retrospective cohort study
CONCLUSIONS: This prediction model based on the traditional method could accurately predict the risk of MACEs after noncardiac surgery in elderly patients.PMID:37315395 | DOI:10.1016/j.atherosclerosis.2023.06.008
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Kai Zhang Chang Liu Xiaoling Sha Siyi Yao Zhao Li Yao Yu Jingsheng Lou Qiang Fu Yanhong Liu Jiangbei Cao Jiaqiang Zhang Yitian Yang Weidong Mi Hao Li Source Type: research
Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques
CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang Source Type: research
Development and validation of a prediction model to predict major adverse cardiovascular events in elderly patients undergoing noncardiac surgery: A retrospective cohort study
CONCLUSIONS: This prediction model based on the traditional method could accurately predict the risk of MACEs after noncardiac surgery in elderly patients.PMID:37315395 | DOI:10.1016/j.atherosclerosis.2023.06.008
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Kai Zhang Chang Liu Xiaoling Sha Siyi Yao Zhao Li Yao Yu Jingsheng Lou Qiang Fu Yanhong Liu Jiangbei Cao Jiaqiang Zhang Yitian Yang Weidong Mi Hao Li Source Type: research
Development of gene model combined with machine learning technology to predict for advanced atherosclerotic plaques
CONCLUSION: In present study, our prediction model was established and showed satisfactory predictive power in both training and test datasets. In addition, this is the first study adopted bioinformatics methods combined with machine learning techniques (RF and ANN) to explore and predict for the advanced atherosclerotic plaques. However, further investigations were needed to verify the screened DEGs and predictive effectiveness of this model.PMID:37315377 | DOI:10.1016/j.clineuro.2023.107819
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Lufeng Wang Yiwen Bao Fei Yu Wenxia Zhu Jun Lang Wang Jie Yang Hongrong Xie Dongya Huang 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
Association of brain microbleeds with risk factors, cognition, and MRI markers in MESA
DISCUSSION: Results suggest differing associations for lobar versus deep locations. Sensitive microbleed quantification will facilitate future longitudinal studies of their potential role as an early indicator of vascular pathology.PMID:37289978 | DOI:10.1002/alz.13346
Source: Atherosclerosis - June 8, 2023 Category: Cardiology Authors: Paul N Jensen Tanweer Rashid Jeffrey B Ware Yuhan Cui Colleen M Sitlani Thomas R Austin W T Longstreth Alain G Bertoni Elizabeth Mamourian R Nick Bryan Ilya M Nasrallah Mohamad Habes Susan R Heckbert 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
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
