Cardiology Unit, Department of Clinical and Experimental Medicine, University Hospital of Messina, Messina, Italy.
Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.
ESC Heart Fail. 2024 Oct;11(5):3023-3032. doi: 10.1002/ehf2.14853. Epub 2024 Jun 6.
Cardiogenic shock (CS) is associated with high in-hospital mortality. Objective assessment of its severity and prognosis is paramount for timely therapeutic interventions. This study aimed to evaluate the efficacy of the shock index (SI) and its variants as prognostic indicators for in-hospital mortality.
A retrospective study involving 1282 CS patients were evaluated. Baseline patient characteristics, clinical trajectory, hospital outcomes, and shock indices were collected and analysed. Receiver operating characteristic (ROC) curves were employed to determine the predictive accuracy of shock indices in predicting in-hospital mortality.
Of those evaluated, 866 (67.6%) survived until discharge. Non-survivors were older (66.0 ± 13.7 vs. 57.4 ± 16.2, P < 0.001), had a higher incidence of cardiac risk factors, and were more likely to present with acute coronary syndrome (33.4% vs. 16.1%, P < 0.001) and out-of-hospital cardiac arrest (11.3% vs. 5.3%, P < 0.001). All mean shock indices were significantly higher in non-survivors compared with survivors. ROC curves demonstrated that adjusted shock index (ASI), age-modified shock index (AMSI), and shock index-C (SIC) had the highest predictive accuracy for in-hospital mortality, with AUC values of 0.654, 0.667, and 0.659, respectively. Subgroup analysis revealed that SIC had good predictive ability in patients with STEMI (AUC: 0.714) and ACS (AUC: 0.696) while AMSI and ASI were notably predictive in the OHCA group (AUC: 0.707 and 0.701, respectively).
Shock index and its variants, especially ASI, AMSI, and SIC, may be helpful in predicting in-hospital mortality in CS patients. Their application could guide clinicians in upfront risk stratification. SIC, ASI, and AMSI show potential in predicting in-hospital mortality in specific CS subsets (STEMI and OHCA). This is the first study to evaluate SI and its variants in CS patients.
心源性休克(CS)与院内高死亡率相关。对其严重程度和预后进行客观评估对于及时的治疗干预至关重要。本研究旨在评估休克指数(SI)及其变体作为院内死亡率预后指标的疗效。
对 1282 例 CS 患者进行回顾性研究。收集并分析了患者的基线特征、临床轨迹、住院结局和休克指数。采用受试者工作特征(ROC)曲线来确定休克指数在预测院内死亡率方面的预测准确性。
在评估的患者中,有 866 例(67.6%)存活至出院。非幸存者年龄更大(66.0±13.7 岁比 57.4±16.2 岁,P<0.001),心脏危险因素发生率更高,更可能出现急性冠状动脉综合征(33.4%比 16.1%,P<0.001)和院外心脏骤停(11.3%比 5.3%,P<0.001)。与幸存者相比,所有平均休克指数在非幸存者中均显著升高。ROC 曲线表明,校正休克指数(ASI)、年龄修正休克指数(AMSI)和休克指数-C(SIC)对院内死亡率的预测准确性最高,AUC 值分别为 0.654、0.667 和 0.659。亚组分析显示,SIC 在 STEMI 患者(AUC:0.714)和 ACS 患者(AUC:0.696)中具有良好的预测能力,而 AMSI 和 ASI 在 OHCA 组中具有明显的预测能力(AUC:0.707 和 0.701)。
休克指数及其变体,特别是 ASI、AMSI 和 SIC,可能有助于预测 CS 患者的院内死亡率。它们的应用可以指导临床医生进行早期风险分层。SIC、ASI 和 AMSI 在特定 CS 亚组(STEMI 和 OHCA)中具有预测院内死亡率的潜力。这是第一项评估 CS 患者 SI 及其变体的研究。