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Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI

BACKGROUND: Several risk scores have been developed to predict and analyze in-hospital mortality and short- and long-term outcomes of ST-elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI); these can classify patients as having a high or low risk...

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Autores principales: Wang, Chih-Hwa, Wang, Hui-Ting, Wu, Kuan-Han, Cheng, Fu-Jen, Cheng, Cheng-I., Kung, Chia-Te, Chen, Fu-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822750/
https://www.ncbi.nlm.nih.gov/pubmed/36619804
http://dx.doi.org/10.1155/2022/5389072
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author Wang, Chih-Hwa
Wang, Hui-Ting
Wu, Kuan-Han
Cheng, Fu-Jen
Cheng, Cheng-I.
Kung, Chia-Te
Chen, Fu-Cheng
author_facet Wang, Chih-Hwa
Wang, Hui-Ting
Wu, Kuan-Han
Cheng, Fu-Jen
Cheng, Cheng-I.
Kung, Chia-Te
Chen, Fu-Cheng
author_sort Wang, Chih-Hwa
collection PubMed
description BACKGROUND: Several risk scores have been developed to predict and analyze in-hospital mortality and short- and long-term outcomes of ST-elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI); these can classify patients as having a high or low risk of death or complications. OBJECTIVE: To compare the prognostic precision of four risk scores for predicting in-hospital mortality in patients with STEMI treated with PPCI. METHODS: We performed a retrospective cohort analysis of patients with STEMI who underwent PPCI between 2012 and 2019 (N = 1346). GRACE (Global Registry of Acute Cardiac Events), CADILLAC (Controlled Abciximab and Device Investigation to Lower Late Angioplasty Complications), Zwolle, and TIMI (Thrombolysis in Myocardial Infarction) risk scores were calculated for each patient according to different variables. We evaluated the predictive accuracy of these scores for in-hospital mortality using the C statistic, which was obtained using logistic regression and receiver operating characteristic curves. RESULTS: The GRACE, CADILLAC, Zwolle, and TIMI risk scores all had good predictive precision for in-hospital mortality, with C statistics ranging from 0.842 to 0.923. The GRACE and CADILLAC risk scores were found to be superior. CONCLUSIONS: All GRACE, CADILLAC, Zwolle, and TIMI risk scores showed a high predictive value for in-hospital mortality due to all causes in patients with STEMI treated with PPCI. The GRACE and CADILLAC risk scores revealed a better accuracy for predicting in-hospital mortality than the Zwolle and TIMI risk scores.
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spelling pubmed-98227502023-01-07 Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI Wang, Chih-Hwa Wang, Hui-Ting Wu, Kuan-Han Cheng, Fu-Jen Cheng, Cheng-I. Kung, Chia-Te Chen, Fu-Cheng Emerg Med Int Research Article BACKGROUND: Several risk scores have been developed to predict and analyze in-hospital mortality and short- and long-term outcomes of ST-elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI); these can classify patients as having a high or low risk of death or complications. OBJECTIVE: To compare the prognostic precision of four risk scores for predicting in-hospital mortality in patients with STEMI treated with PPCI. METHODS: We performed a retrospective cohort analysis of patients with STEMI who underwent PPCI between 2012 and 2019 (N = 1346). GRACE (Global Registry of Acute Cardiac Events), CADILLAC (Controlled Abciximab and Device Investigation to Lower Late Angioplasty Complications), Zwolle, and TIMI (Thrombolysis in Myocardial Infarction) risk scores were calculated for each patient according to different variables. We evaluated the predictive accuracy of these scores for in-hospital mortality using the C statistic, which was obtained using logistic regression and receiver operating characteristic curves. RESULTS: The GRACE, CADILLAC, Zwolle, and TIMI risk scores all had good predictive precision for in-hospital mortality, with C statistics ranging from 0.842 to 0.923. The GRACE and CADILLAC risk scores were found to be superior. CONCLUSIONS: All GRACE, CADILLAC, Zwolle, and TIMI risk scores showed a high predictive value for in-hospital mortality due to all causes in patients with STEMI treated with PPCI. The GRACE and CADILLAC risk scores revealed a better accuracy for predicting in-hospital mortality than the Zwolle and TIMI risk scores. Hindawi 2022-12-30 /pmc/articles/PMC9822750/ /pubmed/36619804 http://dx.doi.org/10.1155/2022/5389072 Text en Copyright © 2022 Chih-Hwa Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Chih-Hwa
Wang, Hui-Ting
Wu, Kuan-Han
Cheng, Fu-Jen
Cheng, Cheng-I.
Kung, Chia-Te
Chen, Fu-Cheng
Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title_full Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title_fullStr Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title_full_unstemmed Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title_short Comparison of Different Risk Scores for Prediction of In-Hospital Mortality in STEMI Patients Treated with PPCI
title_sort comparison of different risk scores for prediction of in-hospital mortality in stemi patients treated with ppci
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822750/
https://www.ncbi.nlm.nih.gov/pubmed/36619804
http://dx.doi.org/10.1155/2022/5389072
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