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Updated: Aug 16, 2025
Non-invasive Assessment of Microvascular and Endothelial Function
Published on: January 29, 2013
A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of
Nithin J Menon1, Brayden D Halvorson1, Gabrielle H Alimorad2
1Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
Insights
Researchers developed a vascular health index (VHI) to integrate diverse vascular function data. This new metric aids in understanding vascular dysfunction in metabolic disease by combining multiple parameters.
Area of Science:
- Cardiovascular Research
- Metabolic Disease Research
- Vascular Biology
Background:
- Integrating vascular function data across studies remains a challenge.
- Existing methods hinder advanced analytics and complex modeling in basic sciences.
- A unified approach is needed to understand integrated vascular function.
Purpose of the Study:
- To develop and validate a composite metric for integrated vascular function.
- To establish a common outcome measure for comparing vascular health across conditions.
- To enable advanced analytics and modeling for understanding vascular dysfunction.
Main Methods:
- Compared vascular function parameters in obese Zucker rats (metabolic disease) to healthy controls.
- Developed the vascular health index (VHI) by integrating markers of vascular reactivity, wall mechanics, and microvascular density.
- Assessed VHI validity using face, content, criterion, and discriminant measures.
Main Results:
- The VHI successfully integrates multiple indices of vascular dysfunction.
- VHI captures skeletal muscle and cerebral vascular dysfunction in metabolic disease.
- The metric demonstrates validity across multiple assessment measures.
Conclusions:
- The vascular health index (VHI) provides a framework for integrating vascular function data.
- VHI facilitates a deeper understanding of peripheral and cerebral vascular dysfunction in metabolic disease.
- This approach supports advanced modeling for comprehensive vascular health insights.
Abstract:
The study of vascular function across conditions has been an intensive area of investigation for many years. While these efforts have revealed many factors contributing to vascular health, challenges remain for integrating results across research groups, animal models, and experimental conditions to understand integrated vascular function. As such, the insights attained in clinical/population research from linking datasets, have not been fully realized in the basic sciences, thus frustrating advanced analytics and complex modeling. To achieve comparable advances, we must address the conceptual challenge of defining/measuring integrated vascular function and the technical challenge of combining data across conditions, models, and groups. Here, we describe an approach to establish and validate a composite metric of vascular function by comparing parameters of vascular function in metabolic disease (the obese Zucker rat) to the same parameters in age-matched, "healthy" conditions, resulting in a common outcome measure which we term the vascular health index (VHI). VHI allows for the integration of datasets, thus expanding sample size and permitting advanced modeling to gain insight into the development of peripheral and cerebral vascular dysfunction. Markers of vascular reactivity, vascular wall mechanics, and microvascular network density are integrated in the VHI. We provide a detailed presentation of the development of the VHI and provide multiple measures to assess face, content, criterion, and discriminant validity of the metric. Our results demonstrate how the VHI captures multiple indices of dysfunction in the skeletal muscle and cerebral vasculature with metabolic disease and provide context for an integrated understanding of vascular health under challenged conditions.
