Phenotyping cardiogenic shock that showed different clinical outcomes and responses to vasopressor use: a latent

Yue Yu1, Jin Rao1, Qiumeng Xu2

  • 1Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China.

Frontiers in Medicine
|July 10, 2023
PubMed

Insights

This study identified three distinct cardiogenic shock (CS) phenotypes in patients with acute myocardial infarction. Different CS profiles exhibited varying mortality risks and responses to vasopressor therapy, highlighting the need for personalized treatment strategies.

Area of Science:

  • Cardiology
  • Intensive Care Medicine
  • Medical Informatics

Background:

  • Cardiogenic shock (CS) is recognized for its heterogeneity in severity and treatment response.
  • Understanding CS phenotypes is crucial for optimizing patient outcomes.

Purpose of the Study:

  • To identify distinct cardiogenic shock (CS) phenotypes.
  • To investigate the association between CS phenotypes and patient outcomes.
  • To analyze the differential response of CS phenotypes to vasopressor therapy.

Main Methods:

  • Latent profile analysis (LPA) was employed to identify CS phenotypes.
  • Multivariable logistic regression (LR) was used to assess the association between vasopressor use and mortality.
  • Data were sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, including 630 patients with CS post-acute myocardial infarction (AMI).

Main Results:

  • Three CS phenotypes were identified: Profile 1 (baseline), Profile 2 (older, comorbid, worse renal function), and Profile 3 (SIRS-related, acid-base disturbance).
  • Profile 3 exhibited the highest in-hospital mortality (45.9%), followed by Profile 2 (43.3%) and Profile 1 (16.6%).
  • Profiles 2 and 3 were independently associated with increased in-hospital mortality risk (OR 3.95 and 3.90, respectively). Vasopressor use improved mortality risk in Profiles 2 and 3, but not in Profile 1.

Conclusions:

  • Distinct CS phenotypes exist, characterized by different clinical profiles and prognoses.
  • Phenotype is an independent predictor of outcomes in CS patients.
  • Tailored vasopressor strategies based on CS phenotype may improve patient survival.
Abstract

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