Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography

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Fältnamn	Indikatorer	Metadata
000		02556naa a2200325 4500
001		oai:DiVA.org:uu-176039
003		SwePub
008		120615s2009 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-1760392 URI
024	7	a https://doi.org/10.1007/s00134-009-1447-y2 DOI
040		a (SwePub)uu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Costa, Eduardo L V4 aut
245	1 0	a Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography
264		c 2009-03-03
264	1	b Springer Science and Business Media LLC,c 2009
338		a print2 rdacarrier
520		a OBJECTIVE: To present a novel algorithm for estimating recruitable alveolar collapse and hyperdistension based on electrical impedance tomography (EIT) during a decremental positive end-expiratory pressure (PEEP) titration. DESIGN: Technical note with illustrative case reports. SETTING: Respiratory intensive care unit. PATIENT: Patients with acute respiratory distress syndrome. INTERVENTIONS: Lung recruitment and PEEP titration maneuver. MEASUREMENTS AND RESULTS: Simultaneous acquisition of EIT and X-ray computerized tomography (CT) data. We found good agreement (in terms of amount and spatial location) between the collapse estimated by EIT and CT for all levels of PEEP. The optimal PEEP values detected by EIT for patients 1 and 2 (keeping lung collapse <10%) were 19 and 17 cmH2O, respectively. Although pointing to the same non-dependent lung regions, EIT estimates of hyperdistension represent the functional deterioration of lung units, instead of their anatomical changes, and could not be compared directly with static CT estimates for hyperinflation. CONCLUSIONS: We described an EIT-based method for estimating recruitable alveolar collapse at the bedside, pointing out its regional distribution. Additionally, we proposed a measure of lung hyperdistension based on regional lung mechanics.
700	1	a Borges, João Batista4 aut
700	1	a Melo, Alexandre4 aut
700	1	a Suarez-Sipmann, Fernando4 aut
700	1	a Toufen, Carlos4 aut
700	1	a Bohm, Stephan H4 aut
700	1	a Amato, Marcelo B P4 aut
773	0	t Intensive Care Medicined : Springer Science and Business Media LLCg 35:6, s. 1132-1137q 35:6<1132-1137x 0342-4642x 1432-1238
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176039
856	4 8	u https://doi.org/10.1007/s00134-009-1447-y

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Av författaren/redakt...: Costa, Eduardo L ...; Borges, João Bat ...; Melo, Alexandre; Suarez-Sipmann, ...; Toufen, Carlos; Bohm, Stephan H; visa fler...; Amato, Marcelo B ...; visa färre...

Artiklar i publikationen: Intensive Care M ...

Av lärosätet: Uppsala universitet

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