» Articles » PMID: 36992016

Intraoperative Beat-to-Beat Pulse Transit Time (PTT) Monitoring Via Non-Invasive Piezoelectric/Piezocapacitive Peripheral Sensors Can Predict Changes in Invasively Acquired Blood Pressure in High-Risk Surgical Patients

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Mar 30
PMID 36992016
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Non-invasive tracking of beat-to-beat pulse transit time (PTT) via piezoelectric/piezocapacitive sensors (PES/PCS) may expand perioperative hemodynamic monitoring. This study evaluated the ability for PTT via PES/PCS to correlate with systolic, diastolic, and mean invasive blood pressure (SBP, DBP, and MAP, respectively) and to detect SBP fluctuations.

Methods: PES/PCS and IBP measurements were performed in 20 patients undergoing abdominal, urological, and cardiac surgery. A Pearson's correlation analysis (r) between 1/PTT and IBP was performed. The predictive ability of 1/PTT with changes in SBP was determined by area under the curve (reported as AUC, sensitivity, specificity).

Results: Significant correlations between 1/PTT and SBP were found for PES (r = 0.64) and PCS (r = 0.55) ( < 0.01), as well as MAP/DBP for PES (r = 0.6/0.55) and PCS (r = 0.5/0.45) ( < 0.05). A 7% decrease in 1/PTT predicted a 30% SBP decrease (0.82, 0.76, 0.76), while a 5.6% increase predicted a 30% SBP increase (0.75, 0.7, 0.68). A 6.6% decrease in 1/PTT detected a 30% SBP decrease (0.81, 0.72, 0.8), while a 4.8% 1/PTT increase detected a 30% SBP increase (0.73, 0.64, 0.68).

Conclusions: Non-invasive beat-to-beat PTT via PES/PCS demonstrated significant correlations with IBP and detected significant changes in SBP. Thus, PES/PCS as a novel sensor technology may augment intraoperative hemodynamic monitoring during major surgery.

References
1.
Yamada T, Vacas S, Gricourt Y, Cannesson M . Improving Perioperative Outcomes Through Minimally Invasive and Non-invasive Hemodynamic Monitoring Techniques. Front Med (Lausanne). 2018; 5:144. PMC: 5966660. DOI: 10.3389/fmed.2018.00144. View

2.
Kortekaas M, Niehof S, van Velzen M, Galvin E, Huygen F, Stolker R . Pulse transit time as a quick predictor of a successful axillary brachial plexus block. Acta Anaesthesiol Scand. 2012; 56(10):1228-33. DOI: 10.1111/j.1399-6576.2012.02746.x. View

3.
Benitez D, Gaydecki P, Zaidi A, Fitzpatrick A . The use of the Hilbert transform in ECG signal analysis. Comput Biol Med. 2001; 31(5):399-406. DOI: 10.1016/s0010-4825(01)00009-9. View

4.
Ma Y, Choi J, Hourlier-Fargette A, Xue Y, Chung H, Lee J . Relation between blood pressure and pulse wave velocity for human arteries. Proc Natl Acad Sci U S A. 2018; 115(44):11144-11149. PMC: 6217416. DOI: 10.1073/pnas.1814392115. View

5.
Kouz K, Hoppe P, Briesenick L, Saugel B . Intraoperative hypotension: Pathophysiology, clinical relevance, and therapeutic approaches. Indian J Anaesth. 2020; 64(2):90-96. PMC: 7017666. DOI: 10.4103/ija.IJA_939_19. View