Rapid Classification and Treatment Algorithm of Cardiogenic Shock Complicating Acute Coronary Syndromes: The SAVE ACS Classification.

ABSTRACT:

Introduction

We aimed to identify the independent "frontline" predictors of 30-day mortality in patients with acute coronary syndromes (ACS) and propose a rapid cardiogenic shock (CS) classification and management pathway.

Materials and methods

From 2011 to 2019, a total of 11439 incident ACS patients were treated in our institution. Forward conditional logistic regression analysis was performed to determine the "frontline" predictors of 30 day mortality. The C-statistic assessed the discriminatory power of the model. As a validation cohort, we used 431 incident ACS patients admitted from January 1, 2020, to July 20, 2020.

Results

Independent predictors of 30-day mortality included age (OR 1.05; 95% CI 1.04 to 1.07, p < 0.001), intubation (OR 7.4; 95% CI

SUBMITTER: Panoulas V 

PROVIDER: S-EPMC8769867 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature