Abstract
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.
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Acknowledgments
Financial support by grants from “Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)”, São Paulo State Research Support Foundation and “Financiadora de Estudos e Projetos (FINEP)”, Studies and Projects Financial Support Provider and to Dixtal Biomédica, Ltda.
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Costa, E.L.V., Borges, J.B., Melo, A. et al. Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography. Intensive Care Med 35, 1132–1137 (2009). https://doi.org/10.1007/s00134-009-1447-y
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DOI: https://doi.org/10.1007/s00134-009-1447-y