Jin M Cheng 1 , Anne Mijn Helming 2 , Laura C van Vark 2 , Isabella Kardys 2 , Corstiaan A Den Uil 2 , Lucia S D Jewbali 2 , Robert-Jan van Geuns 2 , Felix Zijlstra 2 , Ron T van Domburg 2 , Eric Boersma 2 , K Martijn Akkerhuis 2 . Show Affiliations »
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.
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: Chemical
Disease
Species
Keywords:
Cardiogenic shock; mortality; myocardial infarction; predictors; risk score
Mesh: See more »
Year: 2015
PMID: 25589634 DOI: 10.1177/2048872615568966
Source DB: PubMed Journal: Eur Heart J Acute Cardiovasc Care ISSN: 2048-8726