A Comprehensive Appraisal of Risk Prediction Models for Cardiogenic Shock

Anusha G. Bhat, Sean van Diepen, Jason N. Katz, Ashequl Islam, Benham N. Tehrani, Alexander G. Truesdell, Navin K. Kapur, David R. Holmes, Venugopal Menon, Wissam A. Jaber, William J. Nicholson, David X. Zhao, Saraschandra Vallabhajosyula

Research output: Contribution to journalReview articlepeer-review


ABSTRACT: Despite advances in early revascularization, percutaneous hemodynamic support platforms, and systems of care, cardiogenic shock (CS) remains associated with a mortality rate higher than 50%. Several risk stratification models have been derived since the 1990 s to identify patients at high risk of adverse outcomes. Still, limited information is available on the differences between scoring systems and their relative applicability to both acute myocardial infarction and advanced decompensated heart failure CS. Thus, we reviewed the similarities, differences, and limitations of published CS risk prediction models and herein discuss their suitability to the contemporary management of CS care.

Original languageEnglish (US)
Pages (from-to)617-629
Number of pages13
JournalShock (Augusta, Ga.)
Issue number5
StatePublished - May 1 2022

ASJC Scopus subject areas

  • Emergency Medicine
  • Critical Care and Intensive Care Medicine


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