DireCt Lung Ultrasound Evaluation (CLUE): A novel technique for monitoring extravascular lung water in donor lungs.


Journal

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
ISSN: 1557-3117
Titre abrégé: J Heart Lung Transplant
Pays: United States
ID NLM: 9102703

Informations de publication

Date de publication:
07 2019
Historique:
received: 09 10 2018
revised: 24 01 2019
accepted: 08 03 2019
pubmed: 20 4 2019
medline: 15 12 2020
entrez: 20 4 2019
Statut: ppublish

Résumé

Extravascular lung water (EVLW) could change in donor lungs in a time-dependent fashion during procurement or ex-vivo lung perfusion (EVLP) and may vary across different zones. Current techniques for EVLW assessment are either subjective, general estimation, or not feasible in the clinical setting. An accurate and non-invasive diagnostic tool for EVLW would be desirable for donor lung assessment and management. Therefore, we studied the feasibility and accuracy of direCt Lung Ultrasound Evaluation (CLUE) technique. Eleven lungs were utilized for the human model and 6 lungs for the porcine model. Lungs underwent EVLP for 2 hours. In CLUE, ultrasound images were taken directly from the lungs. A scoring system was created for each point based on the percentage of B-lines. Images were graded according to the degree of edema. An equation was used to calculate total lung and lobe scores based on number of images of each grade. CLUE point score correlated with wet/dry ratio in human and porcine models (n = 99, r = 0.863, p < 0.001; and n = 31, r = 0.916, p < 0.001, respectively). CLUE total lung score correlated with lung weight (n = 19, r = 0.812, p < 0.001; and n = 12, r = 0.895, p < 0.001, respectively). CLUE lobe score correlated negatively with partial pressure of oxygen/fraction of inspired oxygen ratio in the human model (n = 20, r = -0.775, p < 0.001). EVLW monitoring in donor lungs with CLUE after procurement is feasible and CLUE scores were found to be significantly correlated with lung weight, wet/dry, and PaO

Sections du résumé

BACKGROUND
Extravascular lung water (EVLW) could change in donor lungs in a time-dependent fashion during procurement or ex-vivo lung perfusion (EVLP) and may vary across different zones. Current techniques for EVLW assessment are either subjective, general estimation, or not feasible in the clinical setting. An accurate and non-invasive diagnostic tool for EVLW would be desirable for donor lung assessment and management. Therefore, we studied the feasibility and accuracy of direCt Lung Ultrasound Evaluation (CLUE) technique.
METHODS
Eleven lungs were utilized for the human model and 6 lungs for the porcine model. Lungs underwent EVLP for 2 hours. In CLUE, ultrasound images were taken directly from the lungs. A scoring system was created for each point based on the percentage of B-lines. Images were graded according to the degree of edema. An equation was used to calculate total lung and lobe scores based on number of images of each grade.
RESULTS
CLUE point score correlated with wet/dry ratio in human and porcine models (n = 99, r = 0.863, p < 0.001; and n = 31, r = 0.916, p < 0.001, respectively). CLUE total lung score correlated with lung weight (n = 19, r = 0.812, p < 0.001; and n = 12, r = 0.895, p < 0.001, respectively). CLUE lobe score correlated negatively with partial pressure of oxygen/fraction of inspired oxygen ratio in the human model (n = 20, r = -0.775, p < 0.001).
CONCLUSIONS
EVLW monitoring in donor lungs with CLUE after procurement is feasible and CLUE scores were found to be significantly correlated with lung weight, wet/dry, and PaO

Identifiants

pubmed: 31000373
pii: S1053-2498(19)31428-7
doi: 10.1016/j.healun.2019.03.005
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

757-766

Informations de copyright

Copyright © 2019 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Auteurs

Kamal S Ayyat (KS)

Department of Inflammation and Immunology, Lerner Research Institute, Cleveland, Ohio, USA; Department of Thoracic and Cardiovascular Surgery, Cleveland, Ohio, USA; Department of Cardiothoracic Surgery, Faculty of Medicine, Zagazig University, Zagazig, Egypt.

Toshihiro Okamoto (T)

Department of Inflammation and Immunology, Lerner Research Institute, Cleveland, Ohio, USA; Department of Thoracic and Cardiovascular Surgery, Cleveland, Ohio, USA; Transplant Center, Cleveland, Ohio, USA.

Hiromichi Niikawa (H)

Department of Inflammation and Immunology, Lerner Research Institute, Cleveland, Ohio, USA; Department of Thoracic and Cardiovascular Surgery, Cleveland, Ohio, USA.

Yoshifumi Itoda (Y)

Department of Inflammation and Immunology, Lerner Research Institute, Cleveland, Ohio, USA; Department of Thoracic and Cardiovascular Surgery, Cleveland, Ohio, USA.

Siddharth Dugar (S)

Respiratory Institute, Cleveland, Ohio, USA.

Samir Q Latifi (SQ)

Department of Pediatric Critical Care, Cleveland Clinic, Cleveland, Ohio, USA; Lifebanc, Cleveland, Ohio, USA.

Daniel J Lebovitz (DJ)

Department of Critical Care Medicine, Akron Children's Hospital, Akron, Ohio, USA; Lifebanc, Cleveland, Ohio, USA.

Ajit Moghekar (A)

Respiratory Institute, Cleveland, Ohio, USA.

Kenneth R McCurry (KR)

Department of Inflammation and Immunology, Lerner Research Institute, Cleveland, Ohio, USA; Department of Thoracic and Cardiovascular Surgery, Cleveland, Ohio, USA; Transplant Center, Cleveland, Ohio, USA. Electronic address: mccurrk@ccf.org.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH