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Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database

BACKGROUND: Cardiogenic shock (CS) is increasingly recognized as heterogeneous in its severity and response to therapies. This study aimed to identify CS phenotypes and their responses to the use of vasopressors. METHOD: The current study included patients with CS complicating acute myocardial infar...

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Autores principales: Yu, Yue, Rao, Jin, Xu, Qiumeng, Xiao, Jian, Cheng, Pengchao, Wang, Junnan, Xi, Wang, Wang, Pei, Zhang, Yufeng, Wang, Zhinong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325854/
https://www.ncbi.nlm.nih.gov/pubmed/37425299
http://dx.doi.org/10.3389/fmed.2023.1186119
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author Yu, Yue
Rao, Jin
Xu, Qiumeng
Xiao, Jian
Cheng, Pengchao
Wang, Junnan
Xi, Wang
Wang, Pei
Zhang, Yufeng
Wang, Zhinong
author_facet Yu, Yue
Rao, Jin
Xu, Qiumeng
Xiao, Jian
Cheng, Pengchao
Wang, Junnan
Xi, Wang
Wang, Pei
Zhang, Yufeng
Wang, Zhinong
author_sort Yu, Yue
collection PubMed
description BACKGROUND: Cardiogenic shock (CS) is increasingly recognized as heterogeneous in its severity and response to therapies. This study aimed to identify CS phenotypes and their responses to the use of vasopressors. METHOD: The current study included patients with CS complicating acute myocardial infarction (AMI) at the time of admission from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Laboratory and clinical variables were collected and used to conduct latent profile (LPA) analysis. Furthermore, we used a multivariable logistic regression (LR) model to explore the independent association between the use of vasopressors and endpoints. RESULT: A total of 630 eligible patients with CS after AMI were enrolled in the study. The LPA identified three profiles of CS: profile 1 (n = 259, 37.5%) was considered as the baseline group; profile 2 (n = 261, 37.8%) was characterized by advanced age, more comorbidities, and worse renal function; and profile 3 (n = 170, 24.6%) was characterized by systemic inflammatory response syndrome (SIRS)-related indexes and acid–base balance disturbance. Profile 3 showed the highest all-cause in-hospital mortality rate (45.9%), followed by profile 2 (43.3%), and profile 1 (16.6%). The LR analyses showed that the phenotype of CS was an independent prognostic factor for outcomes, and profiles 2 and 3 were significantly associated with a higher risk of in-hospital mortality (profile 2: odds ratio [OR] 3.95, 95% confidence interval [CI] 2.61–5.97, p < 0.001; profile 3: OR 3.90, 95%CI 2.48–6.13, p < 0.001) compared with profile 1. Vasopressor use was associated with an improved risk of in-hospital mortality for profile 2 (OR: 2.03, 95% CI: 1.15–3.60, p = 0.015) and profile 3 (OR: 2.91, 95% CI: 1.02–8.32, p = 0.047), respectively. The results of vasopressor use showed no significance for profile 1. CONCLUSION: Three phenotypes of CS were identified, which showed different outcomes and responses to vasopressor use.
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spelling pubmed-103258542023-07-07 Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database Yu, Yue Rao, Jin Xu, Qiumeng Xiao, Jian Cheng, Pengchao Wang, Junnan Xi, Wang Wang, Pei Zhang, Yufeng Wang, Zhinong Front Med (Lausanne) Medicine BACKGROUND: Cardiogenic shock (CS) is increasingly recognized as heterogeneous in its severity and response to therapies. This study aimed to identify CS phenotypes and their responses to the use of vasopressors. METHOD: The current study included patients with CS complicating acute myocardial infarction (AMI) at the time of admission from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Laboratory and clinical variables were collected and used to conduct latent profile (LPA) analysis. Furthermore, we used a multivariable logistic regression (LR) model to explore the independent association between the use of vasopressors and endpoints. RESULT: A total of 630 eligible patients with CS after AMI were enrolled in the study. The LPA identified three profiles of CS: profile 1 (n = 259, 37.5%) was considered as the baseline group; profile 2 (n = 261, 37.8%) was characterized by advanced age, more comorbidities, and worse renal function; and profile 3 (n = 170, 24.6%) was characterized by systemic inflammatory response syndrome (SIRS)-related indexes and acid–base balance disturbance. Profile 3 showed the highest all-cause in-hospital mortality rate (45.9%), followed by profile 2 (43.3%), and profile 1 (16.6%). The LR analyses showed that the phenotype of CS was an independent prognostic factor for outcomes, and profiles 2 and 3 were significantly associated with a higher risk of in-hospital mortality (profile 2: odds ratio [OR] 3.95, 95% confidence interval [CI] 2.61–5.97, p < 0.001; profile 3: OR 3.90, 95%CI 2.48–6.13, p < 0.001) compared with profile 1. Vasopressor use was associated with an improved risk of in-hospital mortality for profile 2 (OR: 2.03, 95% CI: 1.15–3.60, p = 0.015) and profile 3 (OR: 2.91, 95% CI: 1.02–8.32, p = 0.047), respectively. The results of vasopressor use showed no significance for profile 1. CONCLUSION: Three phenotypes of CS were identified, which showed different outcomes and responses to vasopressor use. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10325854/ /pubmed/37425299 http://dx.doi.org/10.3389/fmed.2023.1186119 Text en Copyright © 2023 Yu, Rao, Xu, Xiao, Cheng, Wang, Xi, Wang, Zhang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Yu, Yue
Rao, Jin
Xu, Qiumeng
Xiao, Jian
Cheng, Pengchao
Wang, Junnan
Xi, Wang
Wang, Pei
Zhang, Yufeng
Wang, Zhinong
Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title_full Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title_fullStr Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title_full_unstemmed Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title_short Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from MIMIC-IV database
title_sort phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent profile analysis from mimic-iv database
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325854/
https://www.ncbi.nlm.nih.gov/pubmed/37425299
http://dx.doi.org/10.3389/fmed.2023.1186119
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