DOI: 10.1161/circ.148.suppl_1.14054 ISSN: 0009-7322

Abstract 14054: Pre-Hospital Predictors of Cardiogenic Shock Among ST-Segment Elevation Myocardial Infarction Patients With and Without Cardiac Arrest: Implications for Shock Teams

Cathevine Yang, Terry Lee, Andrew Kochan, Madeleine Barker, Thomas Roston, Joel Singer, Brian Grunau, Jennifer Helmer, Graham C Wong, Christopher Fordyce
  • Physiology (medical)
  • Cardiology and Cardiovascular Medicine

Introduction: Cardiogenic shock (CS) develops in up to 8.6% of patients with STEMI and is associated with poor outcomes. Early identification of patients at risk of CS is paramount to enable timely mobilization of shock teams to improve outcomes.

Hypothesis: We hypothesized that pre-hospital clinical parameters can predict development of CS in STEMI patients undergoing primary PCI. Using these predictors, we developed a risk score to rapidly identify patients at risk of developing CS.

Methods: We performed a retrospective cohort study using prospective data from a centralized STEMI registry of a healthcare system serving 1.25 million people. Patients presenting with STEMI with intent to receive primary PCI between 2012 to 2020 were included. Logistic regression was used to assess the relationship between predictors and the occurrence of CS at any point from first medical contact to hospital discharge. The prediction model was converted to a risk score by scaling of the regression coefficients. The accuracy of the risk score was determined using C-statistic.

Results: Among 2736 consecutive STEMI patients, 15.2% (n=415) developed CS. Overall, 10.9% of patients had prehospital cardiac arrest, which was more likely in those with CS (46.5% vs. 4.5%, p<0.001). Patients with CS were more likely to have prolonged first medical contact-to-device time per national guidelines (74.7% vs. 53.3%, p<0.001). Regression analysis identified 8 parameters that predict CS as shown in Table 1. Two models, with and without cardiac arrest, were developed. Both models show C-statistics of 0.80 and above.

Conclusions: Among STEMI patients with intent to undergo primary PCI, we identified 8 clinical parameters that strongly predict CS. This has been developed into a scoring system which can be easily used by emergency service providers to rapidly identify patients with CS and enable timely shock team activation.

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