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dc.contributor.author
Tusman, Gerardo
dc.contributor.author
Acosta, Cecilia Maria
dc.contributor.author
Ochoa, Marcos Raúl
dc.contributor.author
Böhm, Stephan H.
dc.contributor.author
Gogniat, Emiliano
dc.contributor.author
Martinez Arca, Jorge
dc.contributor.author
Scandurra, Adriana Gabriela
dc.contributor.author
Madorno, Matías
dc.contributor.author
Ferrando, Carlos
dc.contributor.author
Suarez Sipmann, Fernando
dc.date.available
2021-01-29T19:25:31Z
dc.date.issued
2019-10-25
dc.identifier.citation
Tusman, Gerardo; Acosta, Cecilia Maria; Ochoa, Marcos Raúl; Böhm, Stephan H.; Gogniat, Emiliano; et al.; Multimodal non-invasive monitoring to apply an open lung approach strategy in morbidly obese patients during bariatric surgery; Springer; Journal of Clinical Monitoring and Computing; 34; 5; 25-10-2019; 1015-1024
dc.identifier.issn
1387-1307
dc.identifier.uri
http://hdl.handle.net/11336/124273
dc.description.abstract
To evaluate the use of non-invasive variables for monitoring an open-lung approach (OLA) strategy in bariatric surgery. Twelve morbidly obese patients undergoing bariatric surgery received a baseline protective ventilation with 8 cmH2O of positive-end expiratory pressure (PEEP). Then, the OLA strategy was applied consisting in lung recruitment followed by a decremental PEEP trial, from 20 to 8 cmH2O, in steps of 2 cmH2O to find the lung’s closing pressure. Baseline ventilation was then resumed setting open lung PEEP (OL-PEEP) at 2 cmH2O above this pressure. The multimodal non-invasive variables used for monitoring OLA consisted in pulse oximetry (SpO2), respiratory compliance (Crs), end-expiratory lung volume measured by a capnodynamic method (EELVCO2), and esophageal manometry. OL-PEEP was detected at 15.9 ± 1.7 cmH2O corresponding to a positive end-expiratory transpulmonary pressure (PL,ee) of 0.9 ± 1.1 cmH2O. ROC analysis showed that SpO2 was more accurate (AUC 0.92, IC95% 0.87–0.97) than Crs (AUC 0.76, IC95% 0.87–0.97) and EELVCO2 (AUC 0.73, IC95% 0.64–0.82) to detect the lung’s closing pressure according to the change of PL,ee from positive to negative values. Compared to baseline ventilation with 8 cmH2O of PEEP, OLA increased EELVCO2 (1309 ± 517 vs. 2177 ± 679 mL) and decreased driving pressure (18.3 ± 2.2 vs. 10.1 ± 1.7 cmH2O), estimated shunt (17.7 ± 3.4 vs. 4.2 ± 1.4%), lung strain (0.39 ± 0.07 vs. 0.22 ± 0.06) and lung elastance (28.4 ± 5.8 vs. 15.3 ± 4.3 cmH2O/L), respectively; all p < 0.0001. The OLA strategy can be monitored using noninvasive variables during bariatric surgery. This strategy decreased lung strain, elastance and driving pressure compared with standard protective ventilatory settings.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ATELECTASIS
dc.subject
BARIATRIC SURGERY
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CAPNOGRAPHY
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LUNG RECRUITMENT
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MORBID OBESITY
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PEEP
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PULSE OXIMETRY
dc.subject.classification
Anestesiología
dc.subject.classification
Medicina Clínica
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Multimodal non-invasive monitoring to apply an open lung approach strategy in morbidly obese patients during bariatric surgery
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-25T16:41:57Z
dc.journal.volume
34
dc.journal.number
5
dc.journal.pagination
1015-1024
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Tusman, Gerardo. Fundación Medica de Mar del Plata. Hospital Privado de Comunidad; Argentina
dc.description.fil
Fil: Acosta, Cecilia Maria. Fundación Medica de Mar del Plata. Hospital Privado de Comunidad; Argentina
dc.description.fil
Fil: Ochoa, Marcos Raúl. Fundación Medica de Mar del Plata. Hospital Privado de Comunidad; Argentina
dc.description.fil
Fil: Böhm, Stephan H.. Universität Rostock; Alemania
dc.description.fil
Fil: Gogniat, Emiliano. Sociedad Argentina de Cuidados Intensivos; Argentina
dc.description.fil
Fil: Martinez Arca, Jorge. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Eléctrica. Laboratorio de Bioingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
dc.description.fil
Fil: Scandurra, Adriana Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Eléctrica. Laboratorio de Bioingeniería; Argentina
dc.description.fil
Fil: Madorno, Matías. Instituto Tecnológico de Buenos Aires; Argentina
dc.description.fil
Fil: Ferrando, Carlos. Hospital Clínico Barcelona; España
dc.description.fil
Fil: Suarez Sipmann, Fernando. Universidad Autonoma de Madrid. Hospital Universitario de la Princesa; España. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias; España. Uppsala Universitet; Suecia
dc.journal.title
Journal of Clinical Monitoring and Computing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs10877-019-00405-w#citeas
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10877-019-00405-w
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