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Updated: Jul 12, 2026

Hemodynamic Characterization of Rodent Models of Pulmonary Arterial Hypertension
Published on: April 11, 2016
UNDERSTANDING HEMODYNAMIC INCOHERENCE: MECHANISMS, PHENOTYPES, AND IMPLICATIONS FOR TREATMENT
Lin Huang1, Qiaobin Huang, Weiquan Ma1
1Department of Critical Care Medicine, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Persistent microcirculatory dysfunction after resuscitation, known as hemodynamic incoherence, impacts patient outcomes. Understanding its diverse phenotypes is key to developing targeted treatments for shock patients.
Area of Science:
- Critical Care Medicine
- Physiology
- Biomedical Engineering
Background:
- Microcirculation dysfunction is a critical indicator of shock resuscitation success and patient prognosis.
- Hemodynamic incoherence, characterized by persistent microcirculatory dysfunction despite restored macrocirculation, presents a significant clinical challenge.
- Technological advancements now permit bedside assessment of microcirculation in shock patients.
Purpose of the Study:
- To review the pathophysiological mechanisms underlying hemodynamic incoherence.
- To introduce current understanding and classification frameworks for hemodynamic incoherence phenotypes.
- To propose a conceptual framework for understanding and potentially classifying hemodynamic incoherence phenotypes.
Main Methods:
- Review of pathophysiological mechanisms leading to hemodynamic incoherence.
- Analysis of existing classification frameworks for hemodynamic incoherence phenotypes.
- Integration of clinical data, including macrocirculation, microcirculation, tissue metabolism, and biomarkers, to define phenotypes.
Main Results:
- Hemodynamic incoherence arises from diverse pathophysiological mechanisms, leading to heterogeneous patient presentations.
- Existing evidence highlights significant variability among patients experiencing hemodynamic incoherence.
- Proposed classification frameworks aim to categorize these diverse phenotypes.
Conclusions:
- Recognizing the heterogeneity of hemodynamic incoherence is crucial for effective patient management.
- A conceptual framework integrating multiple data types can help characterize clinical features of different phenotypes.
- Further validation is required for targeted treatment strategies based on identified phenotypes.
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