An observational study in Hypovolemia and Hemodynamic Instability, sponsored by Yale University. Recruiting at 1 site in United States. Open to participants aged 20 Years to 45 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-01-20.
Sponsored by Yale University · Observational
To monitor the changes in central and peripheral monitors/waveforms during gradual hypovolemia induced by lower body negative pressure in healthy volunteers.
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.
133 studies on the registry are indexed under Hypovolemia; 19 are open to participants now.
This study's planned enrollment of 120 is above the median of 52 across 63 observational studies indexed under Hypovolemia.
Browse Hypovolemia studies →Yale University is the lead sponsor of 1,724 studies on the registry; 298 are open to participants now.
Of its 210 completed or terminated interventional studies of FDA-regulated products, 126 (60%) have results posted.
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Healthy volunteers aged 20-45 with no history of heart disease, diabetes, or hypertension. Pregnant women will be excluded.
* Healthy volunteers aged 20-45 with
Exclusion Criteria:
We will be monitoring the changes in central and peripheral monitors/waveforms during gradual hypovolemia induced by lower body negative pressure in healthy volunteers.
Identify the most robust site for monitoring hypovolemia utilizing pulse oximeter waveforms.
Data 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.
Time frame: 2 years
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 resuscitation
Data 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.
Time frame: 2 years
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