Back to Search Start Over

Photoplethysmographic characterization of vascular tone mediated changes in arterial pressure: an observational study.

Authors :
Tusman G
Acosta CM
Pulletz S
Böhm SH
Scandurra A
Arca JM
Madorno M
Sipmann FS
Source :
Journal of clinical monitoring and computing [J Clin Monit Comput] 2019 Oct; Vol. 33 (5), pp. 815-824. Date of Electronic Publication: 2018 Dec 15.
Publication Year :
2019

Abstract

To determine whether a classification based on the contour of the photoplethysmography signal (PPGc) can detect changes in systolic arterial blood pressure (SAP) and vascular tone. Episodes of normotension (SAP 90-140 mmHg), hypertension (SAP > 140 mmHg) and hypotension (SAP < 90 mmHg) were analyzed in 15 cardiac surgery patients. SAP and two surrogates of the vascular tone, systemic vascular resistance (SVR) and vascular compliance (Cvasc = stroke volume/pulse pressure) were compared with PPGc. Changes in PPG amplitude (foot-to-peak distance) and dicrotic notch position were used to define 6 classes taking class III as a normal vascular tone with a notch placed between 20 and 50% of the PPG amplitude. Class I-to-II represented vasoconstriction with notch placed > 50% in a small PPG, while class IV-to-VI described vasodilation with a notch placed < 20% in a tall PPG wave. 190 datasets were analyzed including 61 episodes of hypertension [SAP = 159 (151-170) mmHg (median 1st-3rd quartiles)], 84 of normotension, SAP = 124 (113-131) mmHg and 45 of hypotension SAP = 85(80-87) mmHg. SAP were well correlated with SVR (r = 0.78, p < 0.0001) and Cvasc (r = 0.84, p < 0.0001). The PPG-based classification correlated well with SAP (r = - 0.90, p < 0.0001), SVR (r = - 0.72, p < 0.0001) and Cvasc (r = 0.82, p < 0.0001). The PPGc misclassified 7 out of the 190 episodes, presenting good accuracy (98.4% and 97.8%), sensitivity (100% and 94.9%) and specificity (97.9% and 99.2%) for detecting episodes of hypotension and hypertension, respectively. Changes in arterial pressure and vascular tone were closely related to the proposed classification based on PPG waveform.Clinical Trial Registration NTC02854852.

Details

Language :
English
ISSN :
1573-2614
Volume :
33
Issue :
5
Database :
MEDLINE
Journal :
Journal of clinical monitoring and computing
Publication Type :
Academic Journal
Accession number :
30554338
Full Text :
https://doi.org/10.1007/s10877-018-0235-z