Your browser doesn't support javascript.
loading
A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status.
Menon, Nithin J; Halvorson, Brayden D; Alimorad, Gabrielle H; Frisbee, Jefferson C; Lizotte, Daniel J; Ward, Aaron D; Goldman, Daniel; Chantler, Paul D; Frisbee, Stephanie J.
Afiliación
  • Menon NJ; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Halvorson BD; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Alimorad GH; Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Frisbee JC; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Lizotte DJ; Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Ward AD; Department of Computer Science, Faculty of Science, University of Western Ontario, London, ON, Canada.
  • Goldman D; Lawson Health Research Institute, London, ON, Canada.
  • Chantler PD; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Frisbee SJ; Lawson Health Research Institute, London, ON, Canada.
Front Physiol ; 13: 1071813, 2022.
Article en En | MEDLINE | ID: mdl-36561210
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.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Physiol Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Physiol Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza