Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Intermittent Claudication
  • Peripheral Artery Disease
Type
Observational
Design
Observational Model: CohortTime Perspective: Prospective

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

VascTrac uses open-source software from Apple's ResearchKit to passively track physical activity levels of users who sign up. The goal is to predict post-intervention endovascular failure before it occurs. Currently, physicians have no way of knowing when procedures such as angioplasties fail; with ...

VascTrac uses open-source software from Apple's ResearchKit to passively track physical activity levels of users who sign up. The goal is to predict post-intervention endovascular failure before it occurs. Currently, physicians have no way of knowing when procedures such as angioplasties fail; with VascTrac, researchers hope to find downward trends in physical activity that will predict and indicate endovascular failure. All users are assigned numbers and their medical data is securely coded, decreasing the risk of promulgation of personal information.

Tracking Information

NCT #
NCT03048890
Collaborators
  • Gore
  • Abbott
  • Cook Group Incorporated
  • Boston Scientific Corporation
Investigators
Principal Investigator: Oliver O Aalami, MD Stanford University