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DOI 10.1097/mcc.0000000000001170

Медицинская библиотека · Current opinion in critical care · 2024

How preclinical models help to improve outcome in cardiogenic shock.

Moiroux-Sahraoui Alexander, Manicone Francesca, Herpain Antoine

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Аннотация

PURPOSE OF REVIEW: Preclinical experimentation of cardiogenic shock resuscitation on large animal models represents a powerful tool to decipher its complexity and improve its poor outcome, when small animal models are lacking external validation, and clinical investigation are limited due to technical and ethical constraints. This review illustrates the currently available preclinical models addressing reliably the physiopathology and hemodynamic phenotype of cardiogenic shock, highlighting on the opposite questionable translation based on low severity acute myocardial infarction (AMI) models.

RECENT FINDINGS: Three types of preclinical models replicate reliably AMI-related cardiogenic shock, either with coronary microembolization, coronary deoxygenated blood perfusion or double critical coronary sub-occlusion. These models overcame the pitfall of frequent periprocedural cardiac arrest and offer, to different extents, robust opportunities to investigate pharmacological and/or mechanical circulatory support therapeutic strategies, cardioprotective approaches improving heart recovery and mitigation of the systemic inflammatory reaction. They all came with their respective strengths and weaknesses, allowing the researcher to select the right preclinical model for the right clinical question.

SUMMARY: AMI-related cardiogenic shock preclinical models are now well established and should replace low severity AMI models. Technical and ethical constraints are not trivial, but this translational research is a key asset to build up meaningful future clinical investigations.

Для цитирования: Moiroux-Sahraoui Alexander, Manicone Francesca, Herpain Antoine. How preclinical models help to improve outcome in cardiogenic shock.. Current opinion in critical care. 2024. DOI: 10.1097/mcc.0000000000001170.

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