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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  
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Martinez Arca, Jorge  
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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  
dc.subject
CAPNOGRAPHY  
dc.subject
LUNG RECRUITMENT  
dc.subject
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