Literature DB >> 28826668

Predicting death after acute myocardial infarction.

Yulanka Castro-Dominguez1, Kumar Dharmarajan1, Robert L McNamara2.   

Abstract

Recognizing and understanding the risk factors for mortality after acute myocardial infarction (AMI) provide clinicians and patients important information to determine prognosis and guide treatment. Most risk stratification models use demographic and clinical information that exists prior to hospitalization plus clinical presentation characteristics to estimate a patient's risk of mortality. In this review, we summarize the most important risk factors and discuss current models to predict mortality.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Acute Myocardial Infarction; Mortality; Risk factors; Risk models; Risk prediction

Mesh：

Year:  2017        PMID： 28826668     DOI： 10.1016/j.tcm.2017.07.011

Source DB:  PubMed          Journal:  Trends Cardiovasc Med        ISSN： 1050-1738            Impact factor:   6.677


  15 in total

Review 1.  Mechanism and therapeutic strategies of depression after myocardial infarction.

Authors:  Ying Yang; Xuping Li; Sixuan Chen; Mingzhu Xiao; Zhongqiu Liu; Jingyan Li; Yuanyuan Cheng
Journal:  Psychopharmacology (Berl)       Date:  2021-02-16       Impact factor: 4.530

2.  The potential role of circulating exosomes in protecting myocardial injury in acute myocardial infarction via regulating miR-190a-3p/CXCR4/CXCL12 pathway.

Authors:  Chun-Yuan Jiang; Ting-Ting Zhong; Lu-Wen Qiu; Yan-Feng Liu; Hui-Hua Zuo; Xiao-Fei Huang
Journal:  J Bioenerg Biomembr       Date:  2022-07-22       Impact factor: 3.853

Review 3.  SGLT2 Inhibitors: New Hope for the Treatment of Acute Myocardial Infarction?

Authors:  Yu-Jie Wu; Si-Bo Wang; Lian-Sheng Wang
Journal:  Am J Cardiovasc Drugs       Date:  2022-08-10       Impact factor: 3.283

4.  lncRNA-ZFAS1 induces mitochondria-mediated apoptosis by causing cytosolic Ca2+ overload in myocardial infarction mice model.

Authors:  Lei Jiao; Mengmeng Li; Yingchun Shao; Yuanyuan Zhang; Manyu Gong; Xuewen Yang; Yanying Wang; Zhongyue Tan; Lihua Sun; Lina Xuan; Qi Yu; Yanru Li; Yuqiu Gao; Heng Liu; Honglin Xu; Xiaohan Li; Yong Zhang; Ying Zhang
Journal:  Cell Death Dis       Date:  2019-12-09       Impact factor: 8.469

5.  Network Pharmacology-Based Investigation and Experimental Exploration of the Antiapoptotic Mechanism of Colchicine on Myocardial Ischemia Reperfusion Injury.

Authors:  Yuanjun Tang; Chenyang Shi; Yingyi Qin; Shuowen Wang; Hui Pan; Ming Chen; Xuemei Yu; Yuefen Lou; Guorong Fan
Journal:  Front Pharmacol       Date:  2021-12-16       Impact factor: 5.810

6.  CircRNA MFACR Is Upregulated in Myocardial Infarction and Downregulates miR-125b to Promote Cardiomyocyte Apoptosis Induced by Hypoxia.

Authors:  Shujuan Wang; Long Li; Weijie Deng; Minhua Jiang
Journal:  J Cardiovasc Pharmacol       Date:  2021-09-12       Impact factor: 3.271

7.  Pyroptosis inhibition improves the symptom of acute myocardial infarction.

Authors:  Wenju Liu; Junwei Shen; Yanfei Li; Jiawen Wu; Xiaoli Luo; Yuanyuan Yu; Yuhan Zhang; Liang Gu; Xiaobai Zhang; Cizhong Jiang; Jue Li
Journal:  Cell Death Dis       Date:  2021-09-16       Impact factor: 8.469

8.  Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome.

Authors:  Jessica Pinaire; Etienne Chabert; Jérôme Azé; Sandra Bringay; Paul Landais
Journal:  J Healthc Eng       Date:  2021-05-25       Impact factor: 2.682

9.  Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Authors:  Woojoo Lee; Joongyub Lee; Seoung-Il Woo; Seong Huan Choi; Jang-Whan Bae; Seungpil Jung; Myung Ho Jeong; Won Kyung Lee
Journal:  Sci Rep       Date:  2021-06-18       Impact factor: 4.379

10.  Potential biomarkers of acute myocardial infarction based on co-expression network analysis.

Authors:  Zhaohui Hu; Ruhui Liu; Hairong Hu; Xiangjun Ding; Yuyao Ji; Guiyuan Li; Yiping Wang; Shengquan Xie; Xiaohong Liu; Zhiwen Ding
Journal:  Exp Ther Med       Date:  2021-12-21       Impact factor: 2.447
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