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Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism

Background  Acute pulmonary embolism (PE) is burdened by high mortality, especially within 30 days from the diagnosis. The development and the validation of predictive models for the risk of early mortality allow to differentiate patients who can undergo home treatment from those who need admission...

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Autores principales: Cugno, Massimo, Depetri, Federica, Gnocchi, Laura, Porro, Fernando, Bucciarelli, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524882/
https://www.ncbi.nlm.nih.gov/pubmed/31249950
http://dx.doi.org/10.1055/s-0038-1669427
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author Cugno, Massimo
Depetri, Federica
Gnocchi, Laura
Porro, Fernando
Bucciarelli, Paolo
author_facet Cugno, Massimo
Depetri, Federica
Gnocchi, Laura
Porro, Fernando
Bucciarelli, Paolo
author_sort Cugno, Massimo
collection PubMed
description Background  Acute pulmonary embolism (PE) is burdened by high mortality, especially within 30 days from the diagnosis. The development and the validation of predictive models for the risk of early mortality allow to differentiate patients who can undergo home treatment from those who need admission into intensive care units. Methods  To validate the prognostic model for early mortality after PE diagnosis proposed by the European Society of Cardiology (ESC) in 2014, we analyzed data of a cohort of 272 consecutive patients with acute PE, observed in our hospital during a 10-year period. Moreover, we evaluated the additional contribution of D-dimer, measured at PE diagnosis, in improving the prognostic ability of the model. All cases of PE were objectively diagnosed by angiography chest CT scan or perfusion lung scan. Results  The overall mortality rate within 30 days from PE diagnosis was 10% (95% confidence interval [CI]: 6.4–13.5%). According to the ESC prognostic model, the risk of death increased 3.23 times in the intermediate-low-risk category, 5.55 times in the intermediate-high-risk category, and 23.78 times in the high-risk category, as compared with the low-risk category. The receiver operating characteristic analysis showed a good discriminatory power of the model (area under the curve [AUC] = 0.77 [95% CI: 0.67–0.87]), which further increased when D-dimer was added (AUC = 0.85 [95% CI: 0.73–0.96]). Conclusion  This study represents a good validation of the ESC predictive model whose performance can be further improved by adding D-dimer plasma levels measured at PE diagnosis.
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spelling pubmed-65248822019-06-27 Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism Cugno, Massimo Depetri, Federica Gnocchi, Laura Porro, Fernando Bucciarelli, Paolo TH Open Background  Acute pulmonary embolism (PE) is burdened by high mortality, especially within 30 days from the diagnosis. The development and the validation of predictive models for the risk of early mortality allow to differentiate patients who can undergo home treatment from those who need admission into intensive care units. Methods  To validate the prognostic model for early mortality after PE diagnosis proposed by the European Society of Cardiology (ESC) in 2014, we analyzed data of a cohort of 272 consecutive patients with acute PE, observed in our hospital during a 10-year period. Moreover, we evaluated the additional contribution of D-dimer, measured at PE diagnosis, in improving the prognostic ability of the model. All cases of PE were objectively diagnosed by angiography chest CT scan or perfusion lung scan. Results  The overall mortality rate within 30 days from PE diagnosis was 10% (95% confidence interval [CI]: 6.4–13.5%). According to the ESC prognostic model, the risk of death increased 3.23 times in the intermediate-low-risk category, 5.55 times in the intermediate-high-risk category, and 23.78 times in the high-risk category, as compared with the low-risk category. The receiver operating characteristic analysis showed a good discriminatory power of the model (area under the curve [AUC] = 0.77 [95% CI: 0.67–0.87]), which further increased when D-dimer was added (AUC = 0.85 [95% CI: 0.73–0.96]). Conclusion  This study represents a good validation of the ESC predictive model whose performance can be further improved by adding D-dimer plasma levels measured at PE diagnosis. Georg Thieme Verlag KG 2018-09-06 /pmc/articles/PMC6524882/ /pubmed/31249950 http://dx.doi.org/10.1055/s-0038-1669427 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cugno, Massimo
Depetri, Federica
Gnocchi, Laura
Porro, Fernando
Bucciarelli, Paolo
Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title_full Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title_fullStr Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title_full_unstemmed Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title_short Validation of the Predictive Model of the European Society of Cardiology for Early Mortality in Acute Pulmonary Embolism
title_sort validation of the predictive model of the european society of cardiology for early mortality in acute pulmonary embolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524882/
https://www.ncbi.nlm.nih.gov/pubmed/31249950
http://dx.doi.org/10.1055/s-0038-1669427
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