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The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study

BACKGROUND: There are only few data about the predictive value of atherosclerosis imaging beyond traditional risk calculators in younger subjects. METHODS: We assessed cardiovascular risk prediction with the PROCAM (the Prospective Cardiovascular Munster Study) risk equation and with carotid plaque...

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Autores principales: Adams, Ansgar, Bojara, Waldemar, Romanens, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295556/
https://www.ncbi.nlm.nih.gov/pubmed/32595808
http://dx.doi.org/10.14740/cr1067
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author Adams, Ansgar
Bojara, Waldemar
Romanens, Michel
author_facet Adams, Ansgar
Bojara, Waldemar
Romanens, Michel
author_sort Adams, Ansgar
collection PubMed
description BACKGROUND: There are only few data about the predictive value of atherosclerosis imaging beyond traditional risk calculators in younger subjects. METHODS: We assessed cardiovascular risk prediction with the PROCAM (the Prospective Cardiovascular Munster Study) risk equation and with carotid plaque imaging (determination of total plaque area (TPA) and the maximum plaque thickness with ultrasound) in subjects without known cardiovascular diseases. The follow-up was generated during follow-up examinations as part of preventive medical examinations or by telephone calls. RESULTS: In 2,508 subjects aged 35 - 64 years (50 ± 8 years, 34% women), 132 (5.3%) cardiovascular events occurred (42 myocardial infarction, 17 bypass surgery, 31 stent implantation, 42 coronary artery disease defined by invasive angiography) during a mean follow-up period of 5.4 (1 - 12) years. TPA in combination with the maximum plaque thickness (type III - IV b plaques ) tended to be superior compared to TPA, and both plaque imaging methods were superior to PROCAM: area under the curve (AUC) 0.9 (95% confidence interval (CI): 0.91 - 0.89) vs. 0.89 (95% CI: 0.90 - 0.88), P = 0.2 vs. 0.82 (95% CI: 0.84 - 0.81), P = 0.001; positive predictive value (PPV) 27% (95% CI: 0.31 - 0.22) vs. 19% (95% CI: 0.22 - 0.16) vs.19% (95% CI: 0.27 - 0.13). CONCLUSIONS: Amount of carotid plaque assessed by carotid plaque imaging significantly improves cardiovascular risk prediction beyond the PROCAM risk equation.
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spelling pubmed-72955562020-06-26 The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study Adams, Ansgar Bojara, Waldemar Romanens, Michel Cardiol Res Original Article BACKGROUND: There are only few data about the predictive value of atherosclerosis imaging beyond traditional risk calculators in younger subjects. METHODS: We assessed cardiovascular risk prediction with the PROCAM (the Prospective Cardiovascular Munster Study) risk equation and with carotid plaque imaging (determination of total plaque area (TPA) and the maximum plaque thickness with ultrasound) in subjects without known cardiovascular diseases. The follow-up was generated during follow-up examinations as part of preventive medical examinations or by telephone calls. RESULTS: In 2,508 subjects aged 35 - 64 years (50 ± 8 years, 34% women), 132 (5.3%) cardiovascular events occurred (42 myocardial infarction, 17 bypass surgery, 31 stent implantation, 42 coronary artery disease defined by invasive angiography) during a mean follow-up period of 5.4 (1 - 12) years. TPA in combination with the maximum plaque thickness (type III - IV b plaques ) tended to be superior compared to TPA, and both plaque imaging methods were superior to PROCAM: area under the curve (AUC) 0.9 (95% confidence interval (CI): 0.91 - 0.89) vs. 0.89 (95% CI: 0.90 - 0.88), P = 0.2 vs. 0.82 (95% CI: 0.84 - 0.81), P = 0.001; positive predictive value (PPV) 27% (95% CI: 0.31 - 0.22) vs. 19% (95% CI: 0.22 - 0.16) vs.19% (95% CI: 0.27 - 0.13). CONCLUSIONS: Amount of carotid plaque assessed by carotid plaque imaging significantly improves cardiovascular risk prediction beyond the PROCAM risk equation. Elmer Press 2020-08 2020-06-03 /pmc/articles/PMC7295556/ /pubmed/32595808 http://dx.doi.org/10.14740/cr1067 Text en Copyright 2020, Adams et al. http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Adams, Ansgar
Bojara, Waldemar
Romanens, Michel
The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title_full The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title_fullStr The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title_full_unstemmed The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title_short The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study
title_sort determination of the plaque burden on the carotid artery with ultrasound significantly improves the risk prediction in middle-aged subjects compared to procam: an outcome study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295556/
https://www.ncbi.nlm.nih.gov/pubmed/32595808
http://dx.doi.org/10.14740/cr1067
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