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Hemodynamics Monitoring During Lower Body Negative Pressure (LBNP) Induced Controlled Hypovolemia

Hemodynamics Monitoring During Lower Body Negative Pressure (LBNP) Induced Controlled Hypovolemia

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03592290
Acronym
LBPN
Enrollment
120
Registered
2018-07-19
Start date
2017-11-15
Completion date
2027-01-01
Last updated
2026-01-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypovolemia, Hemodynamic Instability

Brief summary

To monitor the changes in central and peripheral monitors/waveforms during gradual hypovolemia induced by lower body negative pressure in healthy volunteers.

Detailed description

The primary aim of this research is to identify the most robust site for monitoring hypovolemia as well as assess changes in peripheral waveforms monitored by the pulse oximeter collected from different sites (finger, ear, forehead, and nose), blood pressure, cerebral oximetry and peripheral venous pressure during gradual hypovolemia induced by lower body negative pressure (LBNP) in healthy volunteers.

Interventions

We will be monitoring the changes in central and peripheral monitors/waveforms during gradual hypovolemia induced by lower body negative pressure in healthy volunteers.

Sponsors

Yale University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
20 Years to 45 Years
Healthy volunteers
Yes

Inclusion criteria

\* Healthy volunteers aged 20-45 with

Exclusion criteria

* Pregnant women * Under 20 years of age * Subjects with coronary artery disease, diabetes, epilepsy and hypertension

Design outcomes

Primary

MeasureTime frameDescription
Identify the most robust site for monitoring hypovolemia utilizing pulse oximeter waveforms.2 yearsData will be summarized using mean (SD) for normally distributed data, median (interquartile range) for non-normal data. linear regression method will be used to model the changes of our dependent variable from baseline during blood loss.

Secondary

MeasureTime frameDescription
Examine the relationship between central hemodynamic changes (cardiac output) with changes in respiratory variability of PPG waveforms collected from different sites during hypovolemia and fluid resuscitation2 yearsData will be summarized using mean (SD) for normally distributed data, median (interquartile range) for non-normal data. linear regression method will be used to model the changes of our dependent variable from baseline during blood loss.

Countries

United States

Contacts

CONTACTAymen Alian, MD
aymen.alian@yale.edu203-785-2802
PRINCIPAL_INVESTIGATORAymen Alian, MD

Yale University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026