Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

Journal: JACC. Cardiovascular imaging
Published Date:

Abstract

OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental murine model of AS.

Authors

  • Grace Casaclang-Verzosa
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Sirish Shrestha
    Division of Cardiology, WVU Heart & Vascular Institute, West Virginia University, Morgantown, West Virginia.
  • Muhammad Jahanzeb Khalil
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Jung Sun Cho
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Márton Tokodi
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Sudarshan Balla
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Mohamad Alkhouli
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Vinay Badhwar
    Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WVa. Electronic address: vinay.badhwar@wvumedicine.org.
  • Jagat Narula
  • Jordan D Miller
    Departments of Surgery, Cardiovascular Surgery, Physiology, and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota.
  • Partho P Sengupta
    Division of Cardiovascular Diseases and Hypertension, Robert Wood Johnson University Hospital, and Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.