Key result
Novel hemodynamic monitoring strategies show critical care promise but face significant translational hurdles.
Why the study?
Despite safer and more accurate bedside monitoring, clinical challenges remain due to the limited hemodynamic information available for diagnosis and treatment.
Design
Review
Authors
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Functional parameters may integrate into critical care protocols; leaves open whether microcirculatory or machine learning tools improve outcomes without dedicated trials.
Novel hemodynamic parameters and machine learning offer potential to improve critical care monitoring, though significant translational challenges remain.
Bogatu et al. (2023) conducted a review in Hemodynamic instability in peri-operative and critical care. Novel hemodynamic monitoring technologies was evaluated. Novel hemodynamic monitoring strategies, including functional measurements, microcirculation assessment, dynamic vascular mechanisms, and machine learning, offer potential to improve critical care but face significant translational challenges.
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