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A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction

OBJECTIVE: Cardiogenic shock (CS) is the leading cause of death in patients with acute myocardial infarction (AMI) despite advances in care. This study aims to derive and validate a risk score for in-hospital development of CS in patients with AMI. METHODS: In this study, we used the Improving Care...

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Autores principales: Yang, Jun-qing, Ran, Peng, Li, Jie, Zhong, Qi, Smith, Sidney C., Wang, Yan, Fonarow, Gregg C., Qiu, Jia, Morgan, Louise, Wei, Xue-biao, Chen, Xiao-bo, Huang, Jie-leng, Hao, Yong-chen, Zhou, Ying-ling, Siu, Chung-Wah, Zhao, Dong, Chen, Ji-yan, Yu, Dan-qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931535/
https://www.ncbi.nlm.nih.gov/pubmed/35310985
http://dx.doi.org/10.3389/fcvm.2022.793497
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author Yang, Jun-qing
Ran, Peng
Li, Jie
Zhong, Qi
Smith, Sidney C.
Wang, Yan
Fonarow, Gregg C.
Qiu, Jia
Morgan, Louise
Wei, Xue-biao
Chen, Xiao-bo
Huang, Jie-leng
Hao, Yong-chen
Zhou, Ying-ling
Siu, Chung-Wah
Zhao, Dong
Chen, Ji-yan
Yu, Dan-qing
author_facet Yang, Jun-qing
Ran, Peng
Li, Jie
Zhong, Qi
Smith, Sidney C.
Wang, Yan
Fonarow, Gregg C.
Qiu, Jia
Morgan, Louise
Wei, Xue-biao
Chen, Xiao-bo
Huang, Jie-leng
Hao, Yong-chen
Zhou, Ying-ling
Siu, Chung-Wah
Zhao, Dong
Chen, Ji-yan
Yu, Dan-qing
author_sort Yang, Jun-qing
collection PubMed
description OBJECTIVE: Cardiogenic shock (CS) is the leading cause of death in patients with acute myocardial infarction (AMI) despite advances in care. This study aims to derive and validate a risk score for in-hospital development of CS in patients with AMI. METHODS: In this study, we used the Improving Care for Cardiovascular Disease in China–Acute Coronary Syndrome (CCC–ACS) registry of 76,807 patients for model development and internal validation. These patients came from 158 tertiary hospitals and 82 secondary hospitals between 2014 and 2019, presenting AMI without CS upon admission. The eligible patients with AMI were randomly assigned to derivation (n = 53,790) and internal validation (n = 23,017) cohorts. Another cohort of 2,205 patients with AMI between 2014 and 2016 was used for external validation. Based on the identified predictors for in-hospital CS, a new point-based CS risk scheme, referred to as the CCC–ACS CS score, was developed and validated. RESULTS: A total of 866 (1.1%) and 39 (1.8%) patients subsequently developed in-hospital CS in the CCC–ACS project and external validation cohort, respectively. The CCC–ACS CS score consists of seven variables, including age, acute heart failure upon admission, systolic blood pressure upon admission, heart rate, initial serum creatine kinase-MB level, estimated glomerular filtration rate, and mechanical complications. The area under the curve for in-hospital development of CS was 0.73, 0.71, and 0.85 in the derivation, internal validation and external validation cohorts, respectively. CONCLUSION: This newly developed CCC–ACS CS score can quantify the risk of in-hospital CS for patients with AMI, which may help in clinical decision making. CLINICAL TRIAL REGISTRATION: www.ClinicalTrials.gov, identifier: NCT02306616.
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spelling pubmed-89315352022-03-19 A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction Yang, Jun-qing Ran, Peng Li, Jie Zhong, Qi Smith, Sidney C. Wang, Yan Fonarow, Gregg C. Qiu, Jia Morgan, Louise Wei, Xue-biao Chen, Xiao-bo Huang, Jie-leng Hao, Yong-chen Zhou, Ying-ling Siu, Chung-Wah Zhao, Dong Chen, Ji-yan Yu, Dan-qing Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: Cardiogenic shock (CS) is the leading cause of death in patients with acute myocardial infarction (AMI) despite advances in care. This study aims to derive and validate a risk score for in-hospital development of CS in patients with AMI. METHODS: In this study, we used the Improving Care for Cardiovascular Disease in China–Acute Coronary Syndrome (CCC–ACS) registry of 76,807 patients for model development and internal validation. These patients came from 158 tertiary hospitals and 82 secondary hospitals between 2014 and 2019, presenting AMI without CS upon admission. The eligible patients with AMI were randomly assigned to derivation (n = 53,790) and internal validation (n = 23,017) cohorts. Another cohort of 2,205 patients with AMI between 2014 and 2016 was used for external validation. Based on the identified predictors for in-hospital CS, a new point-based CS risk scheme, referred to as the CCC–ACS CS score, was developed and validated. RESULTS: A total of 866 (1.1%) and 39 (1.8%) patients subsequently developed in-hospital CS in the CCC–ACS project and external validation cohort, respectively. The CCC–ACS CS score consists of seven variables, including age, acute heart failure upon admission, systolic blood pressure upon admission, heart rate, initial serum creatine kinase-MB level, estimated glomerular filtration rate, and mechanical complications. The area under the curve for in-hospital development of CS was 0.73, 0.71, and 0.85 in the derivation, internal validation and external validation cohorts, respectively. CONCLUSION: This newly developed CCC–ACS CS score can quantify the risk of in-hospital CS for patients with AMI, which may help in clinical decision making. CLINICAL TRIAL REGISTRATION: www.ClinicalTrials.gov, identifier: NCT02306616. Frontiers Media S.A. 2022-03-04 /pmc/articles/PMC8931535/ /pubmed/35310985 http://dx.doi.org/10.3389/fcvm.2022.793497 Text en Copyright © 2022 Yang, Ran, Li, Zhong, Smith, Wang, Fonarow, Qiu, Morgan, Wei, Chen, Huang, Hao, Zhou, Siu, Zhao, Chen and Yu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Yang, Jun-qing
Ran, Peng
Li, Jie
Zhong, Qi
Smith, Sidney C.
Wang, Yan
Fonarow, Gregg C.
Qiu, Jia
Morgan, Louise
Wei, Xue-biao
Chen, Xiao-bo
Huang, Jie-leng
Hao, Yong-chen
Zhou, Ying-ling
Siu, Chung-Wah
Zhao, Dong
Chen, Ji-yan
Yu, Dan-qing
A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title_full A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title_fullStr A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title_full_unstemmed A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title_short A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction
title_sort risk stratification scheme for in-hospital cardiogenic shock in patients with acute myocardial infarction
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931535/
https://www.ncbi.nlm.nih.gov/pubmed/35310985
http://dx.doi.org/10.3389/fcvm.2022.793497
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