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Real-time Lung Weight Measurement During Cellular Ex Vivo Lung Perfusion: An Early Predictor of Transplant Suitability.
- Source :
-
Transplantation [Transplantation] 2023 Mar 01; Vol. 107 (3), pp. 628-638. Date of Electronic Publication: 2023 Feb 21. - Publication Year :
- 2023
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Abstract
- Background: Increased extravascular lung water during ex vivo lung perfusion (EVLP) is associated with ischemia reperfusion injury and poor pulmonary function. A non-invasive technique for evaluating extravascular lung water during EVLP is desired to assess the transplant suitability of lungs. We investigated real-time lung weight measurements as a reliable method for assessing pulmonary functions in cellular EVLP using a porcine lung model.<br />Methods: Fifteen pigs were randomly divided into 3 groups: control (no warm ischemia) or donation after circulatory death groups with 60 or 90 min of warm ischemia (n = 5, each). Real-time lung weight gain was measured by load cells positioned at the bottom of the organ chamber.<br />Results: Real-time lung weight gain at 2 h was significantly correlated with lung weight gain as measured on a back table ( R = 0.979, P < 0.01). Lung weight gain in non-suitable cases (n = 6) was significantly higher than in suitable cases (n = 9) at 40 min (51.6 ± 46.0 versus -8.8 ± 25.7 g; P < 0.01, cutoff = +12 g, area under the curve = 0.907). Lung weight gain at 40 min was significantly correlated with PaO 2 /FiO 2 , peak inspiratory pressure, shunt ratio, wet/dry ratio, and transplant suitability at 2 h ( P < 0.05, each). In non-suitable cases, lung weight gain at 66% and 100% of cardiac output was significantly higher than at 33% ( P < 0.05).<br />Conclusions: Real-time lung weight measurement could potentially be an early predictor of pulmonary function in cellular EVLP.<br />Competing Interests: The authors declare no conflicts of interest.<br /> (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.)
Details
- Language :
- English
- ISSN :
- 1534-6080
- Volume :
- 107
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Transplantation
- Publication Type :
- Academic Journal
- Accession number :
- 36476980
- Full Text :
- https://doi.org/10.1097/TP.0000000000004380