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The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients

Risk stratification of patients with acute myocardial infarction (AMI) is of clinical significance. Although there are many existing risk scores, periodic update is required to reflect contemporary patient profile and management. The present study aims to develop a risk model to predict in-hospital...

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Autores principales: Song, Chenxi, Fu, Rui, Dou, Kefei, Yang, Jingang, Xu, Haiyan, Gao, Xiaojin, Li, Wei, Gao, Guofeng, Zhao, Zhiyong, Liu, Jia, Yang, Yuejin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998057/
https://www.ncbi.nlm.nih.gov/pubmed/29899463
http://dx.doi.org/10.1038/s41598-018-26861-z
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author Song, Chenxi
Fu, Rui
Dou, Kefei
Yang, Jingang
Xu, Haiyan
Gao, Xiaojin
Li, Wei
Gao, Guofeng
Zhao, Zhiyong
Liu, Jia
Yang, Yuejin
author_facet Song, Chenxi
Fu, Rui
Dou, Kefei
Yang, Jingang
Xu, Haiyan
Gao, Xiaojin
Li, Wei
Gao, Guofeng
Zhao, Zhiyong
Liu, Jia
Yang, Yuejin
author_sort Song, Chenxi
collection PubMed
description Risk stratification of patients with acute myocardial infarction (AMI) is of clinical significance. Although there are many existing risk scores, periodic update is required to reflect contemporary patient profile and management. The present study aims to develop a risk model to predict in-hospital death among contemporary AMI patients as soon as possible after admission. We included 23417 AMI patients from China Acute Myocardial Infarction (CAMI) registry from January 2013 to September 2014 and extracted relevant data. Patients were divided chronologically into a derivation cohort (n = 17563) to establish the multivariable logistic regression model and a validation cohort (n = 5854) to validate the risk score. Sixteen variables were identified as independent predictors of in-hospital death and were used to establish CAMI risk model and score: age, gender, body mass index, systolic blood pressure, heart rate, creatinine level, white blood cell count, serum potassium, serum sodium, ST-segment elevation on ECG, anterior wall involvement, cardiac arrest, Killip classification, medical history of hypertension, medical history of hyperlipidemia and smoking status. Area under curve value of CAMI risk model was 0.83 within the derivation cohort and 0.84 within the validation cohort. We developed and validated a risk score to predict in-hospital death risk among contemporary AMI patients.
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spelling pubmed-59980572018-06-21 The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients Song, Chenxi Fu, Rui Dou, Kefei Yang, Jingang Xu, Haiyan Gao, Xiaojin Li, Wei Gao, Guofeng Zhao, Zhiyong Liu, Jia Yang, Yuejin Sci Rep Article Risk stratification of patients with acute myocardial infarction (AMI) is of clinical significance. Although there are many existing risk scores, periodic update is required to reflect contemporary patient profile and management. The present study aims to develop a risk model to predict in-hospital death among contemporary AMI patients as soon as possible after admission. We included 23417 AMI patients from China Acute Myocardial Infarction (CAMI) registry from January 2013 to September 2014 and extracted relevant data. Patients were divided chronologically into a derivation cohort (n = 17563) to establish the multivariable logistic regression model and a validation cohort (n = 5854) to validate the risk score. Sixteen variables were identified as independent predictors of in-hospital death and were used to establish CAMI risk model and score: age, gender, body mass index, systolic blood pressure, heart rate, creatinine level, white blood cell count, serum potassium, serum sodium, ST-segment elevation on ECG, anterior wall involvement, cardiac arrest, Killip classification, medical history of hypertension, medical history of hyperlipidemia and smoking status. Area under curve value of CAMI risk model was 0.83 within the derivation cohort and 0.84 within the validation cohort. We developed and validated a risk score to predict in-hospital death risk among contemporary AMI patients. Nature Publishing Group UK 2018-06-13 /pmc/articles/PMC5998057/ /pubmed/29899463 http://dx.doi.org/10.1038/s41598-018-26861-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Song, Chenxi
Fu, Rui
Dou, Kefei
Yang, Jingang
Xu, Haiyan
Gao, Xiaojin
Li, Wei
Gao, Guofeng
Zhao, Zhiyong
Liu, Jia
Yang, Yuejin
The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title_full The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title_fullStr The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title_full_unstemmed The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title_short The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients
title_sort cami-score: a novel tool derived from cami registry to predict in-hospital death among acute myocardial infarction patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998057/
https://www.ncbi.nlm.nih.gov/pubmed/29899463
http://dx.doi.org/10.1038/s41598-018-26861-z
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