Search: onr:"swepub:oai:DiVA.org:uu-176039" > Bedside estimation ...
Fältnamn | Indikatorer | Metadata |
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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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