Literature DB >> 25201214

Usefulness of the admission shock index for predicting short-term outcomes in patients with ST-segment elevation myocardial infarction.

Bi Huang1, Yanmin Yang2, Jun Zhu1, Yan Liang1, Huiqiong Tan1, Litian Yu1, Xin Gao1, Jiandong Li1.   

Abstract

Current risk scores of ST-segment elevation myocardial infarction (STEMI) need sophisticated algorithm and were limited for bedside use. Our study aimed to evaluate the usefulness of admission shock index (SI) for predicting the short-term outcomes in patients with STEMI. Included were 7,187 consecutive patients with STEMI. The admission SI was defined as the ratio of admission heart rate and systolic blood pressure. Patients were divided into 2 groups with SI <0.7 and ≥0.7, respectively, based on the receiver operating characteristic curve analysis. The major end points were 7- and 30-day all-cause mortality. Of 7,187 patients, 5,026 had admission SI <0.7 and 2,161 had admission SI ≥0.7. Those who presented with SI ≥0.7 had greater 7- and 30-day all-cause mortality and major adverse cardiovascular events than patients with SI <0.7. After multivariate adjustment, patients with SI ≥0.7 had a 2.2-fold increased risk of 7-day all-cause mortality (hazard ratio 2.21, 95% confidence interval [CI] 1.71 to 2.86) and 1.9-fold increased risk of 30-day all-cause mortality (hazard ratio 1.94, 95% CI 1.54 to 2.44). Moreover, admission SI ≥0.7 was also associated with 1.6- and 1.5-fold increased risk of 7- and 30-day major adverse cardiovascular events (hazard ratio 1.63, 95% CI 1.36 to 1.95 and hazard ratio 1.47, 95% CI 1.24 to 1.74, respectively). The C statistic of admission SI for predicting 7- and 30-day all-cause mortality was 0.701 and 0.686, respectively, compared with 0.744 and 0.738 from the Thrombolysis In Myocardial Infarction risk score. In conclusion, admission SI, an easily calculated index at first contact, may be a useful predictor for short-term outcomes especially for acute phase outcomes in patients with STEMI.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25201214     DOI: 10.1016/j.amjcard.2014.07.062

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  10 in total

1.  Shock Index Is a Validated Prediction Tool for the Short-Term Survival of Advanced Cancer Patients Presenting to the Emergency Department.

Authors:  Zhong Ning Leonard Goh; Mu-Wei Chen; Hao-Tsai Cheng; Kuang-Hung Hsu; Chen-Ken Seak; Joanna Chen-Yeen Seak; Seng Kit Ling; Shao-Feng Liao; Tzu-Heng Cheng; Yi-Da Sie; Chih-Huang Li; Hsien-Yi Chen; Cheng-Yu Chien; Chen-June Seak
Journal:  J Pers Med       Date:  2022-06-10

2.  Nomogram for the Prediction of Intrahospital Mortality Risk of Patients with ST-Segment Elevation Myocardial Infarction Complicated with Hyperuricemia: A Multicenter Retrospective Study.

Authors:  Zhixun Bai; Yi Ma; Zhiyun Shi; Ting Li; Shan Hu; Bei Shi
Journal:  Ther Clin Risk Manag       Date:  2021-08-21       Impact factor: 2.423

3.  Derivation and Validation of Shock Index as a parameter for Predicting Long-term Prognosis in Patients with Acute Coronary Syndrome.

Authors:  Tongtong Yu; Chunyang Tian; Jia Song; Dongxu He; Zhijun Sun; Zhaoqing Sun
Journal:  Sci Rep       Date:  2017-09-20       Impact factor: 4.379

4.  The use of the shock index to predict hemodynamic collapse in hypotensive sepsis patients: A cross-sectional analysis.

Authors:  Zohair Al Aseri; Mohammed Al Ageel; Mohammed Binkharfi
Journal:  Saudi J Anaesth       Date:  2020-03-05

5.  Comparison of shock index-based risk indices for predicting in-hospital outcomes in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

Authors:  Guoyu Wang; Ruzhu Wang; Ling Liu; Jing Wang; Lei Zhou
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

6.  Development of a machine learning model to predict the risk of late cardiogenic shock in patients with ST-segment elevation myocardial infarction.

Authors:  Zhixun Bai; Shan Hu; Yan Wang; Wenwen Deng; Ning Gu; Ranzun Zhao; Wei Zhang; Yi Ma; Zhenglong Wang; Zhijiang Liu; Changyin Shen; Bei Shi
Journal:  Ann Transl Med       Date:  2021-07

7.  Novel scoring system based on clinical examination for prediction of in-hospital mortality in acute coronary syndrome patients: a retrospective cohort study.

Authors:  Miftah Pramudyo; Transiska Liesmadona Bijaksana; Achmad Fauzi Yahya; Iwan Cahyo Santosa Putra
Journal:  Open Heart       Date:  2022-10

8.  Prognostic value of shock index in patients admitted with non-ST-segment elevation myocardial infarction: the ARIC study community surveillance.

Authors:  Zainali S Chunawala; Michael E Hall; Sameer Arora; Xuming Dai; Venu Menon; Sidney C Smith; Kunihiro Matsushita; Melissa C Caughey
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2021-10-27

9.  Shock Index Predicts Patient-Related Clinical Outcomes in Stroke.

Authors:  Phyo Kyaw Myint; Shubin Sheng; Ying Xian; Roland A Matsouaka; Mathew J Reeves; Jeffrey L Saver; Deepak L Bhatt; Gregg C Fonarow; Lee H Schwamm; Eric E Smith
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

10.  Shock index and TIMI risk index as valuable prognostic tools in patients with acute coronary syndrome complicated by cardiogenic shock.

Authors:  Karolina Supeł; Michał Kacprzak; Marzenna Zielińska
Journal:  PLoS One       Date:  2020-01-03       Impact factor: 3.240

  10 in total

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