Clinical picture and risk prediction of short-term mortality in cardiogenic shock

Veli-Pekka Harjola1, Johan Lassus, Alessandro Sionis

  • 1Emergency Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland.

Insights

Cardiogenic shock, often caused by acute coronary syndrome (ACS), has a high in-hospital mortality rate. The CardShock risk score effectively predicts short-term mortality in these critically ill patients.

Area of Science:

  • Cardiology
  • Intensive Care Medicine
  • Clinical Research

Background:

  • Cardiogenic shock (CS) is a life-threatening condition characterized by severe hypotension and hypoperfusion.
  • Acute coronary syndrome (ACS) is the most frequent cause of CS, but non-ACS etiologies also contribute significantly.
  • Early risk stratification is crucial for managing CS patients and improving outcomes.

Purpose of the Study:

  • To investigate the clinical characteristics and outcomes of patients with cardiogenic shock.
  • To develop and validate a risk prediction score for short-term mortality in CS.
  • To compare outcomes between ACS and non-ACS etiologies of cardiogenic shock.

Main Methods:

  • A multicenter, prospective, observational study (CardShock) enrolled 219 patients with CS within 6 hours of detection.
  • Data collected included clinical presentation, management, biochemical variables, and etiology (ACS vs. non-ACS).
  • A risk score was developed using independent predictors of in-hospital mortality and validated using the area under the curve (AUC).

Main Results:

  • The in-hospital mortality rate was 37%.
  • Acute coronary syndrome (ACS) was the primary cause (81%), with ST-elevation myocardial infarction being the most common ACS type.
  • Independent predictors of mortality included ACS etiology, age, prior myocardial infarction, prior coronary artery bypass, confusion, low left ventricular ejection fraction (LVEF), and elevated lactate levels.

Conclusions:

  • While ACS is the leading cause, non-ACS etiologies constitute a significant proportion of cardiogenic shock cases.
  • The CardShock risk score, incorporating seven common variables, accurately predicts short-term mortality (AUC = 0.85).
  • This risk score can aid in early clinical decision-making and patient selection for clinical trials.
Abstract

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