Bedside Estimation of Recruitable Alveolar Collapse and Hyperdistension by Electrical Impedance Tomography

Overview

Journal Intensive Care Med

Specialty Critical Care

Date 2009 Mar 4

PMID 19255741

Citations 161

Authors

Eduardo L V Costa

Joao Batista Borges

Alexandre Melo

Fernando Suarez-Sipmann

Carlos Toufen Jr

Stephan H Bohm

Marcelo B P Amato

Affiliations

Soon will be listed here.

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 cmH(2)O, 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.

Citing Articles

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