Lauren D Crimmins-Pierce1, Gabriel P Bonvillain1, Kaylee R Henry1, Md Abul Hayat2, Adria Abella Villafranca3, Sam E Stephens1, Hanna K Jensen4, Joseph A Sanford5,3,6, Jingxian Wu2, Kevin W Sexton4,3,6,7,8, Morten O Jensen9. 1. Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, USA. 2. Department of Electrical Engineering, University of Arkansas, Fayetteville, AR, USA. 3. Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 4. Department of Surgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 5. Department of Anesthesiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 6. Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 7. Department of Health Policy and Management, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 8. Department of Pharmacy Practice, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 9. Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, USA. mojensen@uark.edu.
Abstract
PURPOSE: Peripheral venous pressure (PVP) waveform analysis is a novel, minimally invasive, and inexpensive method of measuring intravascular volume changes. A porcine cohort was studied to determine how venous and arterial pressure waveforms change due to inhaled and infused anesthetics and acute hemorrhage. METHODS: Venous and arterial pressure waveforms were continuously collected, while each pig was under general anesthesia, by inserting Millar catheters into a neighboring peripheral artery and vein. The anesthetic was varied from inhaled to infused, then the pig underwent a controlled hemorrhage. Pearson correlation coefficients between the power of the venous and arterial pressure waveforms at each pig's heart rate frequency were calculated for each variation in the anesthetic, as well as before and after hemorrhage. An analysis of variance (ANOVA) test was computed to determine the significance in changes of the venous pressure waveform means caused by each variation. RESULTS: The Pearson correlation coefficients between venous and arterial waveforms decreased as anesthetic dosage increased. In an opposing fashion, the correlation coefficients increased as hemorrhage occurred. CONCLUSION: Anesthetics and hemorrhage alter venous pressure waveforms in distinctly different ways, making it critical for researchers and clinicians to consider these confounding variables when utilizing pressure waveforms. Further work needs to be done to determine how best to integrate PVP waveforms into clinical decision-making.
PURPOSE: Peripheral venous pressure (PVP) waveform analysis is a novel, minimally invasive, and inexpensive method of measuring intravascular volume changes. A porcine cohort was studied to determine how venous and arterial pressure waveforms change due to inhaled and infused anesthetics and acute hemorrhage. METHODS: Venous and arterial pressure waveforms were continuously collected, while each pig was under general anesthesia, by inserting Millar catheters into a neighboring peripheral artery and vein. The anesthetic was varied from inhaled to infused, then the pig underwent a controlled hemorrhage. Pearson correlation coefficients between the power of the venous and arterial pressure waveforms at each pig's heart rate frequency were calculated for each variation in the anesthetic, as well as before and after hemorrhage. An analysis of variance (ANOVA) test was computed to determine the significance in changes of the venous pressure waveform means caused by each variation. RESULTS: The Pearson correlation coefficients between venous and arterial waveforms decreased as anesthetic dosage increased. In an opposing fashion, the correlation coefficients increased as hemorrhage occurred. CONCLUSION: Anesthetics and hemorrhage alter venous pressure waveforms in distinctly different ways, making it critical for researchers and clinicians to consider these confounding variables when utilizing pressure waveforms. Further work needs to be done to determine how best to integrate PVP waveforms into clinical decision-making.
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