SCAI Cardiogenic Shock Classification for Predicting In-Hospital and Long-Term Mortality in Acute Heart Failure.

BACKGROUND

SCAI classification in cardiogenic shock is simple and suitable for rapid assessment. Its predictive behavior in patients with primary acute heart failure (AHF) is not fully known. We aimed to evaluate the ability of the SCAI classification to predict in-hospital and long-term mortality in AHF.

METHODS

We conducted a single-center study and performed a retrospective analysis of prospectively collected data of consecutive patients admitted with AHF between 2015 and 2020. The primary end points were in-hospital and long-term mortality from all causes.

RESULTS

In total, 856 patients were included. The unadjusted in-hospital mortality was as follows: A, 0.6%; B, 2.7%; C, 21.5%; D 54.3%; and E, 90.6% (log rank, P < .0001), and long-term mortality was as follows: A, 24.9%; B, 24%; C, 49.6%; D, 62.9%; and E, 95.5% (log rank, P < .0001). After multivariable adjustment, each SCAI SHOCK stage remained associated with increased mortality (all P < .001 compared with stage A). With the exception of the long-term end point, there were no differences between stages A and B for adjusted mortality (P = .1).

CONCLUSIONS

In a cohort of patients with AHF, SCAI cardiogenic shock classification was associated with in-hospital and long-term mortality. This finding supports the rationale of the classification in this setting.