Using a Cardiogenic Shock Classification System for Predicting Postcardiotomy Shock Mortality

利用心源性休克分级系统预测心脏手术后休克死亡率

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Abstract

BACKGROUND: Cardiogenic shock (CS) is a life-threatening hemodynamic state. Patients with differing shock severity show varying responsiveness to clinical interventions. CS also occurs in patients who have undergone cardiac surgery. A few evaluation systems have been developed for postcardiotomy patients. The Society for Cardiovascular Angiography and Intervention (SCAI) has developed a new classification scheme for CS. OBJECTIVES: This study aimed to assess the parameters that define the stages of CS and the diagnostic utility of an SCAI-based CS classification system for patients undergoing cardiac surgery to inform the prediction of outcomes. METHODS: This single-center, retrospective, observational study included 8,335 consecutive adult patients undergoing cardiac surgery from January to December 2022. This cohort was divided into 5 groups based on lactate and types of intervention received, including vasopressors and mechanical circulatory support systems. The primary outcome was in-hospital mortality. RESULTS: CS occurred in 970 (11.1%) patients of this cohort. The frequencies of distribution of various postcardiotomy shock stages differed significantly: stage A = 4,747 (57.0%), stage B = 2,658 (31.9%), stage C = 779 (9.3%), stage D = 64 (0.8%), and stage E = 87 (1.0%) (P < 0.001) patients. In-hospital mortality was 1.1% (94 of 8,335). A progressive increase in the stage of the disease led to a clear stepwise increase in in-hospital mortality: Stage A = 0.4% (19 of 4747), Stage B = 0.8% (21 of 2658), Stage C = 2.8% (22 of 779), Stage D = 7.8% (5 of 64), and Stage E = 31.0% (27 of 87) (P < 0.001). The area under the receiver-operating curve of this classification for postcardiotomy CS was 0.781 (95% CI: 0.746-0.815). CONCLUSIONS: In this single-center postcardiotomy population, CS occurred in 11.1% of patients. Postcardiotomy SCAI-derived criteria for CS severity suggested a good correlation with in-hospital mortality.

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