Invasive Hemodynamic Monitoring of Aortic and Pulmonary Artery Hemodynamics in a Large Animal Model of ARDS
November 26th, 2018
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We present a protocol of creating right ventricular dysfunction in a pig model by inducing ARDS. We demonstrate invasive monitoring of left and right ventricular cardiac output using flow probes around the aorta and the pulmonary artery, as well as blood pressure measurements in the aorta and pulmonary artery.
Overview
This article presents a protocol for creating right ventricular dysfunction in a pig model by inducing ARDS. It highlights the importance of invasive monitoring of cardiac output and blood pressure in understanding hemodynamic changes.
Key Study Components
Area of Science
- Intensive care medicine
- Cardiac surgery
- Hemodynamic monitoring
Background
- Right ventricular dysfunction is a critical condition in ARDS.
- Invasive monitoring techniques are essential for accurate assessment.
- Understanding volume status is vital in managing ARDS patients.
- Application extends to heart failure, sepsis, and respiratory failure.
Purpose of Study
- To demonstrate a reproducible method for inducing right ventricular dysfunction.
- To provide insights into hemodynamic monitoring in critical care.
- To facilitate understanding of disease pathogenesis in ARDS.
Methods Used
- Induction of ARDS in a pig model.
- Invasive monitoring of left and right ventricular cardiac output.
- Use of flow probes around the aorta and pulmonary artery.
- Blood pressure measurements in the aorta and pulmonary artery.
Main Results
- The method is simple and reproducible.
- Provides critical insights into hemodynamic status in ARDS.
- Can be applied to various critical conditions beyond ARDS.
- Requires skilled implementation for success.
Conclusions
- This technique enhances understanding of right ventricular dysfunction.
- It is a valuable tool in intensive care settings.
- Visual demonstrations are essential for effective learning.
Frequently Asked Questions
What is the significance of this study?
This study provides a protocol for understanding right ventricular dysfunction in ARDS, which is crucial for patient management in intensive care.
How reproducible is the method?
The method is designed to be simple and easy to reproduce, making it accessible for researchers and clinicians.
What are the main applications of this technique?
The technique can be applied to assess volume status in ARDS and other conditions like heart failure and sepsis.
What skills are necessary to perform this method?
Successful implementation requires skilled anesthesia, cardiac surgery, and intensive care medicine expertise.
Why is visual demonstration important?
Visual demonstrations are critical for individuals new to the method to understand the procedure effectively.
Executive Industry Relevance
This protocol establishes a reproducible large animal model for studying right ventricular dysfunction in ARDS, enabling mechanistic de-risking of therapeutic hypotheses related to pulmonary hypertension and volume status. Invasive hemodynamic monitoring provides quantitative, translatable readouts that support target validation and predictive confidence in preclinical cardiovascular and pulmonary research. The model bridges discovery biology with preclinical evaluation by capturing dynamic cardiopulmonary interactions under disease-relevant stress.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Enables interrogation of therapeutic hypotheses targeting pulmonary vascular resistance and right ventricular afterload in ARDS.
- Operational Value: Provides a disease-relevant system to assess target engagement and pathway modulation under hemodynamic stress.
- Predictive Value: Supports preclinical model selection by capturing right ventricular volume load and dysfunction phenotypes.
Screening & Assay Development
- Scientific Value: Generates validated biological systems with measurable hemodynamic outputs for compound screening.
- Operational Value: Standardizes perfusion and pressure measurements (e.g., aortic flow, pulmonary artery pressure) for assay reproducibility.
- Scalability: Supports platform reuse across cardiovascular, pulmonary, and critical care discovery programs.
Translational & Preclinical Research
- Scientific Value: Models ARDS-induced pulmonary hypertension and right ventricular strain with clinical relevance to heart failure and sepsis.
- Operational Value: Enables longitudinal monitoring of hemodynamic parameters before and after volume administration or intervention.
- Translational Continuity: Connects discovery-phase target validation to preclinical efficacy testing via shared physiological endpoints.
Pipeline & Workflow Integration
The method fits within the discovery-to-preclinical continuum by providing hemodynamic phenotyping after target modulation and before lead optimization, particularly for pulmonary vasodilators or inotropes.
- Discovery Biology: Supports hypothesis testing of pathways involved in vascular permeability, vasoconstriction, and ventricular-vascular coupling.
- Screening: Delivers assay-ready systems with quantitative outputs like cardiac output, stroke volume variance, and extravascular lung water.
- Analytics: Provides statistical readiness through transcardiopulmonary thermodilution and pulse contour analysis for comparing treatment effects.
- Translational Research: Aligns with biomarker strategies by measuring extravascular lung water and global end-diastolic volume as correlates of pulmonary edema and preload.
- Enterprise Reuse: Establishes a reusable hemodynamic profiling capability for multiple disease models involving cardiopulmonary interaction.
Operational & Enterprise Impact
- Scientific Value: Reduces mechanistic ambiguity in ARDS models by isolating right ventricular function from left-sided confounders.
- Operational Value: Ensures reproducibility through standardized catheterization, thermodilution, and flow probe placement.
- Strategic Value: Improves go/no-go decisions by quantifying hemodynamic risk early in preclinical development.
- Portfolio Impact: Enables risk-adjusted prioritization of compounds based on pulmonary vascular and right ventricular safety profiles.
Implementation Considerations
- Requires expertise in anesthesia, cardiac surgery, and intensive care medicine for successful catheterization and hemodynamic monitoring.
- Dependent on specialized instrumentation including Millar tip catheters, ultrasound flow probes, PiCCO2 system, and transcardiopulmonary thermodilution setup.
- Necessitates cross-team standardization of volume loading protocols and data acquisition timing for reproducible results.
- Adaptation across model systems must account for species-specific hemodynamics and oleic acid dosing parameters.
- Practical limitations include procedural complexity, bleeding risk during sternotomy, and time-intensive oleic acid infusion to avoid hemodynamic instability.
Biopharma FAQs
Why does hemodynamic monitoring matter for target validation in ARDS models?
Invasive hemodynamic monitoring enables precise measurement of right ventricular pressures, pulmonary artery pressure, and cardiac output, which are critical for validating targets involved in pulmonary hypertension and ventricular dysfunction. These quantitative outputs allow researchers to assess target modulation under disease-relevant stress, reducing mechanistic ambiguity in preclinical studies.
How does isolation of independent variables support discovery pipeline progression?
By instrumenting specific vascular beds (e.g., femoral artery, pulmonary artery) and using flow probes, the method isolates aortic and pulmonary artery hemodynamics from confounding variables. This enables clear attribution of hemodynamic changes to interventions, supporting reliable target validation and assay development in early discovery.
What quantitative dependent variable measurements enable preclinical decision-making?
Measurements such as stroke volume variance, pulse pressure variance, extravascular lung water, and global end-diastolic volume provide quantitative readouts of volume status, ventricular function, and pulmonary edema. These parameters support go/no-go decisions by offering predictive, mechanistically informed endpoints before lead optimization.
Why do replication requirements matter for cross-functional collaboration in preclinical programs?
The method’s reproducibility—achieved through standardized oleic acid infusion, thermodilution steps, and equilibration periods—ensures consistent hemodynamic phenotyping across laboratories and teams. This reliability is essential for aligning discovery, translational, and preclinical teams on shared biological readouts.
What statistical analysis capabilities are required before implementing this hemodynamic monitoring approach?
Implementation requires the ability to analyze transcardiopulmonary thermodilution data, pulse contour-derived variables (e.g., SVV, PPV), and time-series pressure and flow measurements. Statistical comparison of baseline versus post-intervention or post-volume-load states is essential for detecting significant hemodynamic changes and supporting data-driven decisions.
