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dc.contributor.author
Tusman, Gerardo Horacio
dc.contributor.author
Acosta, Cecilia María
dc.contributor.author
Pulletz, Sven
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Böhm, Stephan H.
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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
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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
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