New Cardiovascular Risk Assessment Techniques for Primary Prevention : JACC Review Topic of the Week
Copyright © 2022 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved..
Risk factor-based models fail to accurately estimate risk in select populations, in particular younger individuals. A sizable number of people are also classified as being at intermediate risk, for whom the optimal preventive strategy could be more precise. Several personalized risk prediction tools, including coronary artery calcium scoring, polygenic risk scores, and metabolic risk scores may be able to improve risk assessment, pending supportive outcome data from clinical trials. Other tools may well emerge in the near future. A multidimensional approach to risk prediction holds the promise of precise risk prediction. This could allow for targeted prevention minimizing unnecessary costs and risks while maximizing benefits. High-risk individuals could also be identified early in life, creating opportunities to arrest the development of nascent coronary atherosclerosis and prevent future clinical events.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:80 |
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| Enthalten in: |
Journal of the American College of Cardiology - 80(2022), 4 vom: 26. Juli, Seite 373-387 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Verma, Kunal P [VerfasserIn] |
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| Links: |
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| Themen: |
Calcium |
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| Anmerkungen: |
Date Completed 25.07.2022 Date Revised 16.09.2022 published: Print Citation Status MEDLINE |
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| doi: |
10.1016/j.jacc.2022.05.015 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
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| 520 | |a Copyright © 2022 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a Risk factor-based models fail to accurately estimate risk in select populations, in particular younger individuals. A sizable number of people are also classified as being at intermediate risk, for whom the optimal preventive strategy could be more precise. Several personalized risk prediction tools, including coronary artery calcium scoring, polygenic risk scores, and metabolic risk scores may be able to improve risk assessment, pending supportive outcome data from clinical trials. Other tools may well emerge in the near future. A multidimensional approach to risk prediction holds the promise of precise risk prediction. This could allow for targeted prevention minimizing unnecessary costs and risks while maximizing benefits. High-risk individuals could also be identified early in life, creating opportunities to arrest the development of nascent coronary atherosclerosis and prevent future clinical events | ||
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| 700 | 1 | |a Carrington, Melinda J |e verfasserin |4 aut | |
| 700 | 1 | |a Marwick, Thomas H |e verfasserin |4 aut | |
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