Quantitative computed tomography in comparison with transpulmonary thermodilution for the estimation of pulmonary fluid status: a clinical study in critically ill patients.


Journal

Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357

Informations de publication

Date de publication:
02 2019
Historique:
received: 06 12 2017
accepted: 16 04 2018
pubmed: 24 4 2018
medline: 6 8 2019
entrez: 23 4 2018
Statut: ppublish

Résumé

Extravascular lung water (index) (EVLW(I)) can be estimated using transpulmonary thermodilution (TPTD). Computed tomography (CT) with quantitative analysis of lung tissue density has been proposed to quantify pulmonary edema. We compared variables of pulmonary fluid status assessed using quantitative CT and TPTD in critically ill patients. In 21 intensive care unit patients, we performed TPTD measurements directly before and after chest CT. Based on the density data of segmented CT images we calculated the tissue volume (TV), tissue volume index (TVI), and the mean weighted index of voxel aqueous density (VMWaq). CT-derived TV, TVI, and VMWaq did not predict TPTD-derived EVLWI values ≥ 14 mL/kg. There was a significant moderate positive correlation between VMWaq and mean EVLWI (EVLWI before and after CT) (r = 0.45, p = 0.042) and EVLWI after CT (r = 0.49, p = 0.025) but not EVLWI before CT (r = 0.38, p = 0.086). There was no significant correlation between TV and EVLW before CT, EVLW after CT, or mean EVLW. There was no significant correlation between TVI and EVLWI before CT, EVLWI after CT, or mean EVLWI. CT-derived variables did not predict elevated TPTD-derived EVLWI values. In unselected critically ill patients, variables of pulmonary fluid status assessed using quantitative CT cannot be used to predict EVLWI.

Identifiants

pubmed: 29680878
doi: 10.1007/s10877-018-0144-1
pii: 10.1007/s10877-018-0144-1
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Pagination

5-12

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Auteurs

Bernd Saugel (B)

II. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany. bernd.saugel@gmx.de.
Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany. bernd.saugel@gmx.de.

Moritz Wildgruber (M)

Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Institut für Klinische Radiologie, Universitätsklinikum Münster, Münster, Germany.

Albrecht Staudt (A)

II. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Michael Dieckmeyer (M)

Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Konstantin Holzapfel (K)

Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Institut für Radiologie, Krankenhaus Landshut-Achdorf, Landshut, Germany.

Georgios Kaissis (G)

Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Mikhail Y Kirov (MY)

Department of Anesthesiology and Intensive Care Medicine, Northern State Medical University, Arkhangelsk, Russia.

Vsevolod V Kuzkov (VV)

Department of Anesthesiology and Intensive Care Medicine, Northern State Medical University, Arkhangelsk, Russia.

Roland M Schmid (RM)

II. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Wolfgang Huber (W)

II. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

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