Ortega-Hernández Jorge A, González-Pacheco Héctor, Argüello-Bolaños Jardiel, Arenas-Díaz José Omar, Pérez-López Roberto, García-Arias Mario Ramón, Gopar-Nieto Rodrigo, Sierra-Lara-Martínez Daniel, Araiza-Garaygordobil Diego, Manzur-Sandoval Daniel, Soliz-Uriona Luis Alejandro, Astudillo-Alvarez Gloria Monserrath, Hernández-Montfort Jaime, Arias-Mendoza Alexandra
Instituto Nacional de Cardiología Ignacio Chávez, Coronary Care Unit, Juan Badiano 1, Sección XVI, Tlalpan, Ciudad De Mexico 14080, Mexico.
Advanced Heart Failure and Recovery Program for Central Texas Baylor Scott & White Health, 302 University Blvd, Round Rock, TX 78665, USA.
J Clin Med. 2023 Sep 7;12(18):5818. doi: 10.3390/jcm12185818.
Studies had previously identified three cardiogenic shock (CS) phenotypes (cardiac-only, cardiorenal, and cardiometabolic). Therefore, we aimed to understand better the hemodynamic profiles of these phenotypes in acute myocardial infarction-CS (AMI-CS) using pulmonary artery catheter (PAC) data to better understand the AMI-CS heterogeneity.
We analyzed the PAC data of 309 patients with AMI-CS. The patients were classified by SCAI shock stage, congestion profile, and phenotype. In addition, 24 h hemodynamic PAC data were obtained.
We identified three AMI-CS phenotypes: cardiac-only (43.7%), cardiorenal (32.0%), and cardiometabolic (24.3%). The cardiometabolic phenotype had the highest mortality rate (70.7%), followed by the cardiorenal (52.5%) and cardiac-only (33.3%) phenotypes, with significant differences ( < 0.001). Right atrial pressure ( = 0.001) and pulmonary capillary wedge pressure ( = 0.01) were higher in the cardiometabolic and cardiorenal phenotypes. Cardiac output, index, power, power index, and cardiac power index normalized by right atrial pressure and left-ventricular stroke work index were lower in the cardiorenal and cardiometabolic than in the cardiac-only phenotypes. We found a hazard ratio (HR) of 2.1 for the cardiorenal and 3.3 for cardiometabolic versus the cardiac-only phenotypes ( < 0.001). Also, multi-organ failure, acute kidney injury, and ventricular tachycardia/fibrillation had a significant HR. Multivariate analysis revealed that CS phenotypes retained significance ( < 0.001) when adjusted for the Society for Cardiovascular Angiography & Interventions score ( = 0.011) and ∆congestion ( = 0.028). These scores independently predicted mortality.
Accurate patient prognosis and treatment strategies are crucial, and phenotyping in AMI-CS can aid in this effort. PAC profiling can provide valuable prognostic information and help design new trials involving AMI-CS.
此前的研究已确定了三种心源性休克(CS)表型(仅心脏型、心肾型和心代谢型)。因此,我们旨在利用肺动脉导管(PAC)数据,更好地了解急性心肌梗死合并心源性休克(AMI-CS)中这些表型的血流动力学特征,以更好地理解AMI-CS的异质性。
我们分析了309例AMI-CS患者的PAC数据。根据心血管造影和介入学会(SCAI)休克分期、充血情况和表型对患者进行分类。此外,还获取了24小时的PAC血流动力学数据。
我们确定了三种AMI-CS表型:仅心脏型(43.7%)、心肾型(32.0%)和心代谢型(24.3%)。心代谢型表型的死亡率最高(70.7%),其次是心肾型(52.5%)和仅心脏型(33.3%)表型,差异有统计学意义(<0.001)。心代谢型和心肾型表型的右心房压(=0.001)和肺毛细血管楔压(=0.01)较高。与仅心脏型表型相比,心肾型和心代谢型的心输出量、心指数、功率、功率指数以及经右心房压和左心室每搏功指数标准化后的心脏功率指数较低。我们发现,与仅心脏型表型相比,心肾型的风险比(HR)为2.1,心代谢型为3.3(<0.001)。此外,多器官功能衰竭、急性肾损伤和室性心动过速/心室颤动的HR也有统计学意义。多变量分析显示,在根据心血管造影和介入学会评分(=0.011)和充血变化量(=0.028)进行调整后,CS表型仍具有显著性(<0.001)。这些评分可独立预测死亡率。
准确的患者预后和治疗策略至关重要,AMI-CS的表型分析有助于实现这一目标。PAC分析可提供有价值的预后信息,并有助于设计涉及AMI-CS的新试验。