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Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock

Background: 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 (PA...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532159/
https://www.ncbi.nlm.nih.gov/pubmed/37762759
http://dx.doi.org/10.3390/jcm12185818
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author 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
author_facet 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
author_sort Ortega-Hernández, Jorge A.
collection PubMed
description Background: 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. Methods: 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. Results: 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 (p < 0.001). Right atrial pressure (p = 0.001) and pulmonary capillary wedge pressure (p = 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 (p < 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 (p < 0.001) when adjusted for the Society for Cardiovascular Angiography & Interventions score (p = 0.011) and ∆congestion (p = 0.028). These scores independently predicted mortality. Conclusions: 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.
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spelling pubmed-105321592023-09-28 Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock 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 J Clin Med Article Background: 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. Methods: 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. Results: 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 (p < 0.001). Right atrial pressure (p = 0.001) and pulmonary capillary wedge pressure (p = 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 (p < 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 (p < 0.001) when adjusted for the Society for Cardiovascular Angiography & Interventions score (p = 0.011) and ∆congestion (p = 0.028). These scores independently predicted mortality. Conclusions: 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. MDPI 2023-09-07 /pmc/articles/PMC10532159/ /pubmed/37762759 http://dx.doi.org/10.3390/jcm12185818 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title_full Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title_fullStr Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title_full_unstemmed Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title_short Invasive Phenoprofiling of Acute-Myocardial-Infarction-Related Cardiogenic Shock
title_sort invasive phenoprofiling of acute-myocardial-infarction-related cardiogenic shock
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532159/
https://www.ncbi.nlm.nih.gov/pubmed/37762759
http://dx.doi.org/10.3390/jcm12185818
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