4.7 Article Proceedings Paper

Standardized Team-Based Care for Cardiogenic Shock

Journal

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 73, Issue 13, Pages 1659-1669

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2018.12.084

Keywords

cardiogenic shock; mechanical circulatory support; multidisciplinary care; shock team

Funding

  1. INOVA Dudley Family Center for Cardiovascular Innovation

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BACKGROUND Cardiogenic shock (CS) is a multifactorial, hemodynamically complex syndrome associated with high mortality. Despite advances in reperfusion and mechanical circulatory support, management remains highly variable and outcomes poor. OBJECTIVES This study investigated whether a standardized team-based approach can improve outcomes in CS and whether a risk score can guide clinical decision making. METHODS A total of 204 consecutive patients with CS were identified. CS etiology, patient demographic characteristics, right heart catheterization, mechanical circulatory support use, and survival were determined. Cardiac power output (CPO) and pulmonary arterial pulsatility index (PAPi) were measured at baseline and 24 h after the CS diagnosis. Thresholds at 24 h for lactate (<3.0 mg/dl), CPO (>0.6 W), and PAPi (>1.0) were determined. Using logistic regression analysis, a validated risk stratification score was developed. RESULTS Compared with 30-day survival of 47% in 2016, 30-day survival in 2017 and 2018 increased to 57.9% and 76.6%, respectively (p < 0.01). Independent predictors of 30-day mortality were age >= 71 years, diabetes mellitus, dialysis, >= 36 h of vasopressor use at time of diagnosis, lactate levels >= 3.0 mg/dl, CPO < 0.6 W, and PAPi < 1.0 at 24 h after diagnosis and implementation of therapies. Either 1 or 2 points were assigned to each variable, and a 3-category risk score was determined: 0 to 1 (low), 2 to 4 (moderate), and >= 5 (high). CONCLUSIONS This observational study suggests that a standardized team-based approach may improve CS outcomes. A score incorporating demographic, laboratory, and hemodynamic data may be used to quantify risk and guide clinical decision-making for all phenotypes of CS. (C) 2019 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.

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