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| ID | Type | Description | Link |
|---|---|---|---|
| Pro00041143 | Other Identifier | Advarra |
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Terminated due to COVID-19
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Non-invasive sensors have been used in research in the United States (US) to aid in the assessment of a subject's heart rate (HR), respiratory rate (RR) and fluid volume status. This estimate and its trended value over time, when used along with clinical signs and symptoms and other subject test results, can aid in the process of reaching a diagnosis and formulating a therapeutic plan when abnormalities of volume status, or RR are suspected.
Non-invasive sensors like the Peripheral IntraVenous Analysis (PIVA) sensor under development by Baxter and the Deltran blood pressure (BP) transducer, capture waveforms created by physiological mechanisms such as blood flow and breathing. An algorithm is then applied to the captured waveform to give clinicians an idea of hemodynamic (volume) status, and RR.
In this study, the functional robustness (e.g., subjects sitting, elevated leg positions, etc.) of the PIVA algorithm/technology will be demonstrated by evaluating the impact of various common interventions on the venous pressure signal. All subjects will undergo 33 interventions expected to take approximately 4 - 6 hours.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| IV line with an attached Deltran BP transducer | Experimental | After device setup, subjects will be guided through a series of manipulations of the IV set while waveforms, pulse rate (PR), respiratory rate (RR) are collected at the start and stop of each test. At the end of the study, the PIVA algorithm will then be applied to the waveforms and calculated values will be compared with those from bedside monitors to understand the effect of common manipulations on the waveforms and determine most optimal conditions for capturing RR and PR through peripheral IV analysis. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Peripheral intravenous analysis (PIVA) algorithm | Device | An IV line with an attached Deltran BP transducer will be used together with LabChart software to record venous waveforms during various interventions. These waveforms will be processed using the PIVA algorithm and the calculated values will be compared to those from Nellcor respiratory monitor, Capnograph and cardiac telemetry monitoring. |
| Measure | Description | Time Frame |
|---|---|---|
| Signal Quality Index (SQI) Score by Supine, Sitting, Standing Body Positions | Ranking of subject body positions (supine, sitting, standing) based upon their impact on the venous waveform signal, from best to worst, based on the PIVA algorithm-derived SQI. Score on the scale include 0=no signal, 1=poor signal, 2=good signal. The highest percentage of time with good signal quality will be the best ranked position, and the lowest percentage of time with good signal quality will be the worst ranked position. | End of interventions #15 (supine for 5 minutes), #17 (sitting for 5 minutes), and #19 (standing for 5 minutes) |
| Measure | Description | Time Frame |
|---|---|---|
| Agreement between PIVA algorithm-derived RR and RR measured with Capnography at Baseline | The difference of the PIVA algorithm-derived outcomes to their comparators (Capnography) under different conditions will be summarized descriptively by n, mean, median, minimum, and maximum. The 95% limit of agreement and a Bland Altman plot will also be done for these endpoints. Capnography is the monitoring of the concentration or partial pressure of carbon dioxide in the respiratory gases. |
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Inclusion Criteria:
Exclusion Criteria:
Female subjects who are pregnant.
Subjects who are currently participating in, or have within the past 30 days participated in, another interventional clinical study or have used an investigational device or drug within the past 30 days.
Subjects with known respiratory conditions including but not limited to:
Subjects with self-reported heart or cardiovascular conditions including but not limited to:
Self-reported health conditions as identified in the Health Assessment Form
Subjects with self-reported bleeding disorders including but not limited to:
Subjects taking prescription blood thinners (like aspirin, clopidogrel, dipyridamole, or ticlopidine).
Subjects may be excluded at the discretion of the Investigator.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Baxter Investigational Site | Miami | Florida | 33126 | United States |
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| End of 10 minute baseline |
| Agreement between PIVA algorithm-derived RR and RR measured with Nellcor bedside monitor at Baseline | The difference of the PIVA algorithm-derived outcomes to their comparators (Nellcor) under different conditions will be summarized descriptively by n, mean, median, minimum, and maximum. The 95% limit of agreement and a Bland Altman plot will also be done for these endpoints. | End of 10 minute baseline |
| Agreement between PIVA algorithm-derived RR and RR measured with manual counting | The manual count value will be an average of the 2 minutes then the count is taken over. The difference of the PIVA algorithm-derived outcomes to their comparators (manual) under different conditions will be summarized descriptively by n, mean, median, minimum, and maximum. The 95% limit of agreement and a Bland Altman plot will also be done for these endpoints. | End of 10 minute baseline |
| Agreement between PIVA algorithm derived PR and PR measured with Nellcor bedside monitor at Baseline | The difference of the PIVA algorithm-derived outcomes to their comparators (Nellcor) under different conditions will be summarized descriptively by n, mean, median, minimum, and maximum. The 95% limit of agreement and a Bland Altman plot will also be done for these endpoints. | End of 10 minute baseline |
| Change in PIVA algorithm derived volume index between supine and passive leg raising positions | The change in PIVA algorithm-derived volume index for a change in positions will be summarized descriptively by n, mean, median, minimum, and maximum. | End of Interventions #15 (supine for 5 minutes) and #18 (passive leg raise for 5 minutes) |
| Change in PIVA algorithm derived volume index between supine and standing positions | The change in PIVA algorithm-derived volume index for a change in positions will be summarized descriptively by n, mean, median, minimum, and maximum. | End of interventions #15 (supine for 5 minutes) and #19 (standing for 5 minutes) |