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dc.contributor.author
Tusman, Gerardo Horacio  
dc.contributor.author
Acosta, Cecilia María  
dc.contributor.author
Pulletz, Sven  
dc.contributor.author
Böhm, Stephan H.  
dc.contributor.author
Scandurra, Adriana Gabriela  
dc.contributor.author
Martinez Arca, Jorge  
dc.contributor.author
Madorno, Matias  
dc.contributor.author
Suárez Sipmann, Fernando  
dc.date.available
2019-12-02T20:30:02Z  
dc.date.issued
2019-10-15  
dc.identifier.citation
Tusman, Gerardo Horacio; Acosta, Cecilia María; Pulletz, Sven; Böhm, Stephan H.; Scandurra, Adriana Gabriela; et al.; Photoplethysmographic characterization of vascular tone mediated changes in arterial pressure: an observational study; Springer Netherlands; Journal of Clinical Monitoring and Computing; 33; 5; 15-10-2019; 815-824  
dc.identifier.issn
1387-1307  
dc.identifier.uri
http://hdl.handle.net/11336/91119  
dc.description.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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Netherlands  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ARTERIAL PRESSURE  
dc.subject
PHOTOPLETHYSMOGRAPHY  
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VASCULAR TONE  
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VASOCONSTRICTION  
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VASODILATION  
dc.subject.classification
Anestesiología  
dc.subject.classification
Medicina Clínica  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Photoplethysmographic characterization of vascular tone mediated changes in arterial pressure: an observational study  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-23T20:52:44Z  
dc.identifier.eissn
1573-2614  
dc.journal.volume
33  
dc.journal.number
5  
dc.journal.pagination
815-824  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Tusman, Gerardo Horacio. Hospital Privado de Comunidad. Departamento de Anestesiología y Medicina Intensiva; Argentina  
dc.description.fil
Fil: Acosta, Cecilia María. Hospital Privado de Comunidad. Departamento de Anestesiología y Medicina Intensiva; Argentina  
dc.description.fil
Fil: Pulletz, Sven. Klinikum Osnabrück; Alemania  
dc.description.fil
Fil: Böhm, Stephan H.. Rostock University Medical Center. Department of Anesthesiology and Intensive Care Medicine. ; Alemania  
dc.description.fil
Fil: Scandurra, Adriana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina  
dc.description.fil
Fil: Martinez Arca, Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina  
dc.description.fil
Fil: Madorno, Matias. Instituto Tecnológico de Buenos Aires; Argentina  
dc.description.fil
Fil: Suárez Sipmann, Fernando. Uppsala University. Department of Surgical Sciences; Suecia. Hospital Universitario de La Princesa. Servicio de Medicina Intensiva; España. Universidad Carlos III de Madrid. Instituto de Salud; España  
dc.journal.title
Journal of Clinical Monitoring and Computing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s10877-018-0235-z  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s10877-018-0235-z