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The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome

BACKGROUND: The Caprini Risk Score (CRS) is a validated predictive instrument for venous thrombosis. Previous investigators have shown that a high CRS is associated with a higher risk of mortality from thrombotic diseases. OBJECTIVE: The aim of this study was to assess the association between the CR...

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Autores principales: Li, Wentao, Wang, Yujia, Li, Dongze, Jia, Yu, Li, Fanghui, Chen, Tengda, Liu, Yi, Zeng, Zhi, Wan, Zhi, Zeng, Rui, Wu, Hongying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430676/
https://www.ncbi.nlm.nih.gov/pubmed/36730880
http://dx.doi.org/10.1097/JCN.0000000000000949
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author Li, Wentao
Wang, Yujia
Li, Dongze
Jia, Yu
Li, Fanghui
Chen, Tengda
Liu, Yi
Zeng, Zhi
Wan, Zhi
Zeng, Rui
Wu, Hongying
author_facet Li, Wentao
Wang, Yujia
Li, Dongze
Jia, Yu
Li, Fanghui
Chen, Tengda
Liu, Yi
Zeng, Zhi
Wan, Zhi
Zeng, Rui
Wu, Hongying
author_sort Li, Wentao
collection PubMed
description BACKGROUND: The Caprini Risk Score (CRS) is a validated predictive instrument for venous thrombosis. Previous investigators have shown that a high CRS is associated with a higher risk of mortality from thrombotic diseases. OBJECTIVE: The aim of this study was to assess the association between the CRS and prognosis of patients with acute coronary syndrome (ACS). METHODS: Secondary analysis of data from a retrospective cohort study was conducted. Patients were classified into 3 CRS-based categories (CRS ≤ 2, CRS = 3–4, and CRS ≥ 5, indicating low, medium, and high, respectively). Kaplan-Meier curves and Cox regression models were used to assess the prognosis of patients with ACS. All-cause mortality and cardiac mortality were the end points. RESULTS: Two hundred fifty-four patients (12.8%) died during follow-up. Multivariate Cox regression models identified CRS as an independent risk factor for all-cause mortality among patients with ACS (CRS = 3–4 vs CRS ≤ 2, hazard ratio: 3.268, 95% confidence interval: 1.396–7.647, P = .006; CRS ≥ 5 vs CRS ≤ 2, hazard ratio: 4.099, 95% confidence interval: 1.708–9.841, P = .002). Pearson correlation analysis showed a positive correlation between CRS and fibrinogen level (r = 0.486, R(2) = 0.765, P < .001) as well as D-dimer level (r = 0.480, R(2) = 0.465, P < .001). CONCLUSION: The CRS is a useful prognostic assessment instrument for patients with ACS, and the risk stratification of patients with ACS can be achieved based on their CRS at admission.
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spelling pubmed-104306762023-08-17 The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome Li, Wentao Wang, Yujia Li, Dongze Jia, Yu Li, Fanghui Chen, Tengda Liu, Yi Zeng, Zhi Wan, Zhi Zeng, Rui Wu, Hongying J Cardiovasc Nurs ARTICLES: Acute Coronary Syndrome BACKGROUND: The Caprini Risk Score (CRS) is a validated predictive instrument for venous thrombosis. Previous investigators have shown that a high CRS is associated with a higher risk of mortality from thrombotic diseases. OBJECTIVE: The aim of this study was to assess the association between the CRS and prognosis of patients with acute coronary syndrome (ACS). METHODS: Secondary analysis of data from a retrospective cohort study was conducted. Patients were classified into 3 CRS-based categories (CRS ≤ 2, CRS = 3–4, and CRS ≥ 5, indicating low, medium, and high, respectively). Kaplan-Meier curves and Cox regression models were used to assess the prognosis of patients with ACS. All-cause mortality and cardiac mortality were the end points. RESULTS: Two hundred fifty-four patients (12.8%) died during follow-up. Multivariate Cox regression models identified CRS as an independent risk factor for all-cause mortality among patients with ACS (CRS = 3–4 vs CRS ≤ 2, hazard ratio: 3.268, 95% confidence interval: 1.396–7.647, P = .006; CRS ≥ 5 vs CRS ≤ 2, hazard ratio: 4.099, 95% confidence interval: 1.708–9.841, P = .002). Pearson correlation analysis showed a positive correlation between CRS and fibrinogen level (r = 0.486, R(2) = 0.765, P < .001) as well as D-dimer level (r = 0.480, R(2) = 0.465, P < .001). CONCLUSION: The CRS is a useful prognostic assessment instrument for patients with ACS, and the risk stratification of patients with ACS can be achieved based on their CRS at admission. Lippincott Williams & Wilkins 2023 2022-10-28 /pmc/articles/PMC10430676/ /pubmed/36730880 http://dx.doi.org/10.1097/JCN.0000000000000949 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle ARTICLES: Acute Coronary Syndrome
Li, Wentao
Wang, Yujia
Li, Dongze
Jia, Yu
Li, Fanghui
Chen, Tengda
Liu, Yi
Zeng, Zhi
Wan, Zhi
Zeng, Rui
Wu, Hongying
The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title_full The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title_fullStr The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title_full_unstemmed The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title_short The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome
title_sort caprini risk score for early prediction of mortality in patients with acute coronary syndrome
topic ARTICLES: Acute Coronary Syndrome
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430676/
https://www.ncbi.nlm.nih.gov/pubmed/36730880
http://dx.doi.org/10.1097/JCN.0000000000000949
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