In:
PLOS ONE, Public Library of Science (PLoS), Vol. 15, No. 11 ( 2020-11-12), p. e0241590-
Abstract:
The aim of this study was to establish quantitative CT (qCT) parameters for pathophysiological understanding and clinical use in patients with acute respiratory distress syndrome (ARDS). The most promising parameter is introduced. Materials and methods 28 intubated patients with ARDS obtained a conventional CT scan in end-expiratory breathhold within the first 48 hours after admission to intensive care unit (ICU). Following manual segmentation, 137 volume- and lung weight-associated qCT parameters were correlated with 71 clinical parameters such as blood gases, applied ventilation pressures, pulse contour cardiac output measurements and established status and prognosis scores (SOFA, SAPS II). Results Of all examined qCT parameters, excess lung weight (ELW), i.e. the difference between a patient’s current lung weight and the virtual lung weight of a healthy person at the same height, displayed the most significant results. ELW correlated significantly with the amount of inflated lung tissue [%] (p 〈 0.0001; r = -0.66) and was closely associated with the amount of extravascular lung water (EVLW) (p 〈 0.0001; r = 0.72). More substantially than the oxygenation index (PaO 2 /FiO 2 ) or any other clinical parameter it correlated with the patients’ mean SOFA- (p 〈 0.0001, r = 0.69) and SAPS II-Score (p = 0.0005, r = 0.62). Patients who did not survive intensive care treatment displayed higher values of ELW in the initial CT scans. Conclusions ELW could serve as a non-invasive method to quantify the amount of pulmonary oedema. It might serve as an early radiological marker of severity in patients with ARDS.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0241590
DOI:
10.1371/journal.pone.0241590.g001
DOI:
10.1371/journal.pone.0241590.g002
DOI:
10.1371/journal.pone.0241590.g003
DOI:
10.1371/journal.pone.0241590.g004
DOI:
10.1371/journal.pone.0241590.t001
DOI:
10.1371/journal.pone.0241590.s001
DOI:
10.1371/journal.pone.0241590.s002
DOI:
10.1371/journal.pone.0241590.s003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2020
detail.hit.zdb_id:
2267670-3