Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit

Jacob C. Jentzer, Sean van Diepen, Gregory W. Barsness, Timothy D. Henry, Venu Menon, Charanjit S. Rihal, Srihari S. Naidu, David A. Baran

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: A new 5-stage cardiogenic shock (CS) classification scheme was recently proposed by the Society for Cardiovascular Angiography and Intervention (SCAI) for the purpose of risk stratification. Objectives: This study sought to apply the SCAI shock classification in a cardiac intensive care unit (CICU) population. Methods: The study retrospectively analyzed Mayo Clinic CICU patients admitted between 2007 and 2015. SCAI CS stages A through E were classified retrospectively using CICU admission data based on the presence of hypotension or tachycardia, hypoperfusion, deterioration, and refractory shock. Hospital mortality in each SCAI shock stage was stratified by cardiac arrest (CA). Results: Among the 10,004 unique patients, 43.1% had acute coronary syndrome, 46.1% had heart failure, and 12.1% had CA. The proportion of patients in SCAI CS stages A through E was 46.0%, 30.0%, 15.7%, 7.3%, and 1.0% and unadjusted hospital mortality in these stages was 3.0%, 7.1%, 12.4%, 40.4%, and 67.0% (p < 0.001), respectively. After multivariable adjustment, each higher SCAI shock stage was associated with increased hospital mortality (adjusted odds ratio: 1.53 to 6.80; all p < 0.001) compared with SCAI shock stage A, as was CA (adjusted odds ratio: 3.99; 95% confidence interval: 3.27 to 4.86; p < 0.001). Results were consistent in the subset of patients with acute coronary syndrome or heart failure. Conclusions: When assessed at the time of CICU admission, the SCAI CS classification, including presence or absence of CA, provided robust hospital mortality risk stratification. This classification system could be implemented as a clinical and research tool to identify, communicate, and predict the risk of death in patients with, and at risk for, CS.

Original languageEnglish (US)
Pages (from-to)2117-2128
Number of pages12
JournalJournal of the American College of Cardiology
Volume74
Issue number17
DOIs
StatePublished - Oct 29 2019

Fingerprint

Cardiogenic Shock
Intensive Care Units
Angiography
Mortality
Shock
Hospital Mortality
Heart Arrest
Acute Coronary Syndrome
Heart Failure
Odds Ratio
Tachycardia
Hypotension
Confidence Intervals
Research

Keywords

  • cardiac intensive care unit
  • cardiogenic shock
  • critical care
  • mortality
  • shock

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Jentzer, J. C., van Diepen, S., Barsness, G. W., Henry, T. D., Menon, V., Rihal, C. S., ... Baran, D. A. (2019). Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit. Journal of the American College of Cardiology, 74(17), 2117-2128. https://doi.org/10.1016/j.jacc.2019.07.077

Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit. / Jentzer, Jacob C.; van Diepen, Sean; Barsness, Gregory W.; Henry, Timothy D.; Menon, Venu; Rihal, Charanjit S.; Naidu, Srihari S.; Baran, David A.

In: Journal of the American College of Cardiology, Vol. 74, No. 17, 29.10.2019, p. 2117-2128.

Research output: Contribution to journalArticle

Jentzer, JC, van Diepen, S, Barsness, GW, Henry, TD, Menon, V, Rihal, CS, Naidu, SS & Baran, DA 2019, 'Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit', Journal of the American College of Cardiology, vol. 74, no. 17, pp. 2117-2128. https://doi.org/10.1016/j.jacc.2019.07.077
Jentzer, Jacob C. ; van Diepen, Sean ; Barsness, Gregory W. ; Henry, Timothy D. ; Menon, Venu ; Rihal, Charanjit S. ; Naidu, Srihari S. ; Baran, David A. / Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit. In: Journal of the American College of Cardiology. 2019 ; Vol. 74, No. 17. pp. 2117-2128.
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abstract = "Background: A new 5-stage cardiogenic shock (CS) classification scheme was recently proposed by the Society for Cardiovascular Angiography and Intervention (SCAI) for the purpose of risk stratification. Objectives: This study sought to apply the SCAI shock classification in a cardiac intensive care unit (CICU) population. Methods: The study retrospectively analyzed Mayo Clinic CICU patients admitted between 2007 and 2015. SCAI CS stages A through E were classified retrospectively using CICU admission data based on the presence of hypotension or tachycardia, hypoperfusion, deterioration, and refractory shock. Hospital mortality in each SCAI shock stage was stratified by cardiac arrest (CA). Results: Among the 10,004 unique patients, 43.1{\%} had acute coronary syndrome, 46.1{\%} had heart failure, and 12.1{\%} had CA. The proportion of patients in SCAI CS stages A through E was 46.0{\%}, 30.0{\%}, 15.7{\%}, 7.3{\%}, and 1.0{\%} and unadjusted hospital mortality in these stages was 3.0{\%}, 7.1{\%}, 12.4{\%}, 40.4{\%}, and 67.0{\%} (p < 0.001), respectively. After multivariable adjustment, each higher SCAI shock stage was associated with increased hospital mortality (adjusted odds ratio: 1.53 to 6.80; all p < 0.001) compared with SCAI shock stage A, as was CA (adjusted odds ratio: 3.99; 95{\%} confidence interval: 3.27 to 4.86; p < 0.001). Results were consistent in the subset of patients with acute coronary syndrome or heart failure. Conclusions: When assessed at the time of CICU admission, the SCAI CS classification, including presence or absence of CA, provided robust hospital mortality risk stratification. This classification system could be implemented as a clinical and research tool to identify, communicate, and predict the risk of death in patients with, and at risk for, CS.",
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AU - van Diepen, Sean

AU - Barsness, Gregory W.

AU - Henry, Timothy D.

AU - Menon, Venu

AU - Rihal, Charanjit S.

AU - Naidu, Srihari S.

AU - Baran, David A.

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N2 - Background: A new 5-stage cardiogenic shock (CS) classification scheme was recently proposed by the Society for Cardiovascular Angiography and Intervention (SCAI) for the purpose of risk stratification. Objectives: This study sought to apply the SCAI shock classification in a cardiac intensive care unit (CICU) population. Methods: The study retrospectively analyzed Mayo Clinic CICU patients admitted between 2007 and 2015. SCAI CS stages A through E were classified retrospectively using CICU admission data based on the presence of hypotension or tachycardia, hypoperfusion, deterioration, and refractory shock. Hospital mortality in each SCAI shock stage was stratified by cardiac arrest (CA). Results: Among the 10,004 unique patients, 43.1% had acute coronary syndrome, 46.1% had heart failure, and 12.1% had CA. The proportion of patients in SCAI CS stages A through E was 46.0%, 30.0%, 15.7%, 7.3%, and 1.0% and unadjusted hospital mortality in these stages was 3.0%, 7.1%, 12.4%, 40.4%, and 67.0% (p < 0.001), respectively. After multivariable adjustment, each higher SCAI shock stage was associated with increased hospital mortality (adjusted odds ratio: 1.53 to 6.80; all p < 0.001) compared with SCAI shock stage A, as was CA (adjusted odds ratio: 3.99; 95% confidence interval: 3.27 to 4.86; p < 0.001). Results were consistent in the subset of patients with acute coronary syndrome or heart failure. Conclusions: When assessed at the time of CICU admission, the SCAI CS classification, including presence or absence of CA, provided robust hospital mortality risk stratification. This classification system could be implemented as a clinical and research tool to identify, communicate, and predict the risk of death in patients with, and at risk for, CS.

AB - Background: A new 5-stage cardiogenic shock (CS) classification scheme was recently proposed by the Society for Cardiovascular Angiography and Intervention (SCAI) for the purpose of risk stratification. Objectives: This study sought to apply the SCAI shock classification in a cardiac intensive care unit (CICU) population. Methods: The study retrospectively analyzed Mayo Clinic CICU patients admitted between 2007 and 2015. SCAI CS stages A through E were classified retrospectively using CICU admission data based on the presence of hypotension or tachycardia, hypoperfusion, deterioration, and refractory shock. Hospital mortality in each SCAI shock stage was stratified by cardiac arrest (CA). Results: Among the 10,004 unique patients, 43.1% had acute coronary syndrome, 46.1% had heart failure, and 12.1% had CA. The proportion of patients in SCAI CS stages A through E was 46.0%, 30.0%, 15.7%, 7.3%, and 1.0% and unadjusted hospital mortality in these stages was 3.0%, 7.1%, 12.4%, 40.4%, and 67.0% (p < 0.001), respectively. After multivariable adjustment, each higher SCAI shock stage was associated with increased hospital mortality (adjusted odds ratio: 1.53 to 6.80; all p < 0.001) compared with SCAI shock stage A, as was CA (adjusted odds ratio: 3.99; 95% confidence interval: 3.27 to 4.86; p < 0.001). Results were consistent in the subset of patients with acute coronary syndrome or heart failure. Conclusions: When assessed at the time of CICU admission, the SCAI CS classification, including presence or absence of CA, provided robust hospital mortality risk stratification. This classification system could be implemented as a clinical and research tool to identify, communicate, and predict the risk of death in patients with, and at risk for, CS.

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