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A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference

BACKGROUND: With the use of split liver grafts as well as living donor liver transplantation (LDLT) it is imperative to know the minimum graft volume to avoid complications. Most current formulas to predict standard liver volume (SLV) rely on weight-based measures that are likely inaccurate in the s...

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Autores principales: Shaw, Brian I., Burdine, Lyle J., Braun, Hillary J., Ascher, Nancy L., Roberts, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828689/
https://www.ncbi.nlm.nih.gov/pubmed/29536026
http://dx.doi.org/10.1097/TXD.0000000000000745
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author Shaw, Brian I.
Burdine, Lyle J.
Braun, Hillary J.
Ascher, Nancy L.
Roberts, John P.
author_facet Shaw, Brian I.
Burdine, Lyle J.
Braun, Hillary J.
Ascher, Nancy L.
Roberts, John P.
author_sort Shaw, Brian I.
collection PubMed
description BACKGROUND: With the use of split liver grafts as well as living donor liver transplantation (LDLT) it is imperative to know the minimum graft volume to avoid complications. Most current formulas to predict standard liver volume (SLV) rely on weight-based measures that are likely inaccurate in the setting of cirrhosis. Therefore, we sought to create a formula for estimating SLV without weight-based covariates. METHODS: LDLT donors underwent computed tomography scan volumetric evaluation of their livers. An optimal formula for calculating SLV using the anthropomorphic measure thoracoabdominal circumference (TAC) was determined using leave-one-out cross-validation. The ability of this formula to correctly predict liver volume was checked against other existing formulas by analysis of variance. The ability of the formula to predict small grafts in LDLT was evaluated by exact logistic regression. RESULTS: The optimal formula using TAC was determined to be SLV = (TAC × 3.5816) − (Age × 3.9844) − (Sex × 109.7386) − 934.5949. When compared to historic formulas, the current formula was the only one which was not significantly different than computed tomography determined liver volumes when compared by analysis of variance with Dunnett posttest. When evaluating the ability of the formula to predict small for size syndrome, many (10/16) of the formulas tested had significant results by exact logistic regression, with our formula predicting small for size syndrome with an odds ratio of 7.94 (95% confidence interval, 1.23-91.36; P = 0.025). CONCLUSION: We report a formula for calculating SLV that does not rely on weight-based variables that has good ability to predict SLV and identify patients with potentially small grafts.
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spelling pubmed-58286892018-03-13 A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference Shaw, Brian I. Burdine, Lyle J. Braun, Hillary J. Ascher, Nancy L. Roberts, John P. Transplant Direct Liver Transplantation BACKGROUND: With the use of split liver grafts as well as living donor liver transplantation (LDLT) it is imperative to know the minimum graft volume to avoid complications. Most current formulas to predict standard liver volume (SLV) rely on weight-based measures that are likely inaccurate in the setting of cirrhosis. Therefore, we sought to create a formula for estimating SLV without weight-based covariates. METHODS: LDLT donors underwent computed tomography scan volumetric evaluation of their livers. An optimal formula for calculating SLV using the anthropomorphic measure thoracoabdominal circumference (TAC) was determined using leave-one-out cross-validation. The ability of this formula to correctly predict liver volume was checked against other existing formulas by analysis of variance. The ability of the formula to predict small grafts in LDLT was evaluated by exact logistic regression. RESULTS: The optimal formula using TAC was determined to be SLV = (TAC × 3.5816) − (Age × 3.9844) − (Sex × 109.7386) − 934.5949. When compared to historic formulas, the current formula was the only one which was not significantly different than computed tomography determined liver volumes when compared by analysis of variance with Dunnett posttest. When evaluating the ability of the formula to predict small for size syndrome, many (10/16) of the formulas tested had significant results by exact logistic regression, with our formula predicting small for size syndrome with an odds ratio of 7.94 (95% confidence interval, 1.23-91.36; P = 0.025). CONCLUSION: We report a formula for calculating SLV that does not rely on weight-based variables that has good ability to predict SLV and identify patients with potentially small grafts. Lippincott Williams & Wilkins 2017-10-27 /pmc/articles/PMC5828689/ /pubmed/29536026 http://dx.doi.org/10.1097/TXD.0000000000000745 Text en Copyright © 2017 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Liver Transplantation
Shaw, Brian I.
Burdine, Lyle J.
Braun, Hillary J.
Ascher, Nancy L.
Roberts, John P.
A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title_full A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title_fullStr A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title_full_unstemmed A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title_short A Formula to Calculate Standard Liver Volume Using Thoracoabdominal Circumference
title_sort formula to calculate standard liver volume using thoracoabdominal circumference
topic Liver Transplantation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828689/
https://www.ncbi.nlm.nih.gov/pubmed/29536026
http://dx.doi.org/10.1097/TXD.0000000000000745
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