Literature DB >> 25589634

A simple risk chart for initial risk assessment of 30-day mortality in patients with cardiogenic shock from ST-elevation myocardial infarction.

Jin M Cheng1, Anne Mijn Helming2, Laura C van Vark2, Isabella Kardys2, Corstiaan A Den Uil2, Lucia S D Jewbali2, Robert-Jan van Geuns2, Felix Zijlstra2, Ron T van Domburg2, Eric Boersma2, K Martijn Akkerhuis2.   

Abstract

AIMS: Early risk stratification is important in patients with cardiogenic shock from ST-elevation myocardial infarction (STEMI). We aimed to develop a simple risk chart that includes clinical parameters that are readily available at time of hospital admission to assess risk of 30-day mortality. METHODS AND
RESULTS: A series of 544 STEMI patients admitted to undergo primary percutaneous coronary intervention and presenting with cardiogenic shock were included between 2000 and 2012. Overall 30-day mortality was 38.4% and did not change over the years (p-trend=0.64). Baseline variables that were available at time of hospital admission were entered into a logistic regression model in a forward stepwise manner. Only age (odds ratio (OR) per year 1.05, 95% confidence interval (CI) 1.04-1.07, p<0.001), initial serum lactate level (OR per mmol/l 1.17, 95% CI 1.11-1.24, p<0.001) and initial creatinine level above the upper limit of normal (OR 2.89, 95% CI 1.90-4.37, p<0.001) remained independent predictors, and were subsequently used to develop a risk chart that stratifies risk of 30-day mortality into categories ranging from 0-20% to 80-100%. The calibration plot showed a close relationship between expected and observed mortality. The risk chart had a higher discriminative accuracy than the GRACE score (c-index 0.75 vs. 0.66, p=0.009). Adding variables that were obtained from coronary angiography and during clinical course did not significantly improve discriminative accuracy of risk chart (c-index 0.77, p=0.48).
CONCLUSION: Mortality of patients with cardiogenic shock from STEMI undergoing primary percutaneous coronary intervention can be well predicted already at time of hospital admission by a risk chart that uses only three variables, namely, age, initial serum lactate and creatinine level. © The European Society of Cardiology 2015.

Entities:  

Keywords:  Cardiogenic shock; mortality; myocardial infarction; predictors; risk score

Mesh:

Year:  2015        PMID: 25589634     DOI: 10.1177/2048872615568966

Source DB:  PubMed          Journal:  Eur Heart J Acute Cardiovasc Care        ISSN: 2048-8726


  9 in total

1.  Blood Urea Nitrogen for Short-Term Prognosis in Patients with Cardiogenic Shock Complicating Acute Myocardial Infarction.

Authors:  Yuansong Zhu; Bryan Richard Sasmita; Xiankang Hu; Yuzhou Xue; Hongbo Gan; Zhenxian Xiang; Yi Jiang; Bi Huang; Suxin Luo
Journal:  Int J Clin Pract       Date:  2022-03-15       Impact factor: 3.149

Review 2.  Laboratory Predictors of Prognosis in Cardiogenic Shock Complicating Acute Myocardial Infarction.

Authors:  Tamilla Muzafarova; Zuzana Motovska
Journal:  Biomedicines       Date:  2022-06-05

3.  In-hospital risk stratification algorithm of Asian elderly patients.

Authors:  Sazzli Kasim; Sorayya Malek; Song Cheen; Muhammad Shahreeza Safiruz; Wan Azman Wan Ahmad; Khairul Shafiq Ibrahim; Firdaus Aziz; Kazuaki Negishi; Nurulain Ibrahim
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

4.  The ENCOURAGE mortality risk score and analysis of long-term outcomes after VA-ECMO for acute myocardial infarction with cardiogenic shock.

Authors:  Grégoire Muller; Erwan Flecher; Guillaume Lebreton; Charles-Edouard Luyt; Jean-Louis Trouillet; Nicolas Bréchot; Matthieu Schmidt; Ciro Mastroianni; Jean Chastre; Pascal Leprince; Amedeo Anselmi; Alain Combes
Journal:  Intensive Care Med       Date:  2016-01-29       Impact factor: 17.440

Review 5.  Predictors of Outcomes in Myocardial Infarction and Cardiogenic Shock.

Authors:  Deepak Acharya
Journal:  Cardiol Rev       Date:  2018 Sep/Oct       Impact factor: 2.644

6.  Association Between the Acidemia, Lactic Acidosis, and Shock Severity With Outcomes in Patients With Cardiogenic Shock.

Authors:  Jacob C Jentzer; Benedikt Schrage; Parag C Patel; Kianoush B Kashani; Gregory W Barsness; David R Holmes; Stefan Blankenberg; Paulus Kirchhof; Dirk Westermann
Journal:  J Am Heart Assoc       Date:  2022-05-02       Impact factor: 6.106

7.  External Validation of Survival-Predicting Models for Acute Myocardial Infarction with Extracorporeal Cardiopulmonary Resuscitation in a Chinese Single-Center Cohort.

Authors:  Lei Huang; Tong Li; Xiao-Min Hu; Ying-Wu Liu; Da-Wei Duan; Peng Wu; Xiao-di Wu; Yu-Heng Lang
Journal:  Med Sci Monit       Date:  2017-10-10

8.  Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.

Authors:  Firdaus Aziz; Sorayya Malek; Khairul Shafiq Ibrahim; Raja Ezman Raja Shariff; Wan Azman Wan Ahmad; Rosli Mohd Ali; Kien Ting Liu; Gunavathy Selvaraj; Sazzli Kasim
Journal:  PLoS One       Date:  2021-08-02       Impact factor: 3.240

Review 9.  A Review of Prognosis Model Associated With Cardiogenic Shock After Acute Myocardial Infarction.

Authors:  Jingyue Wang; Botao Shen; Xiaoxing Feng; Zhiyu Zhang; Junqian Liu; Yushi Wang
Journal:  Front Cardiovasc Med       Date:  2021-12-10
  9 in total

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