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Physiological Validation of Current Machine Learning Models for Hemodynamic Instability in Humans

NCT03927066 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2023-05-31

No results posted yet for this study

Summary

This study will be collecting data on participants undergoing lower body negative pressure (LBNP) to simulate progressive blood loss. The goal of the study is to collect data to allow for development of an algorithm with machine learning to predict blood pressure responses to hyporvolemia by analyzing the arterial waveforms collected during LBNP.

Conditions

  • Hypotension and Shock

Interventions

OTHER

Assigned Interventions

Simulated hypovolemia by applied suction to lower extremities to cause venous pooling.

Sponsors & Collaborators

Principal Investigators

  • Timothy B Curry · Mayo Clinic

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-05-12
Primary Completion
2022-11-08
Completion
2022-11-08

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03927066 on ClinicalTrials.gov