Literature DB >> 29880363

Improving the Prediction of Mortality in the High Model for End-Stage Liver Disease Score Liver Transplant Recipient: A Role for the Left Atrial Volume Index.

B D Ershoff1, J S Gordin2, G Vorobiof2, D Elashoff3, R H Steadman4, J C Scovotti4, C L Wray4.   

Abstract

Left atrial volume index (LAVI) is an echocardiographic measurement used in assessing diastolic dysfunction, and is associated with mortality in many populations. In this retrospective cohort study including 254 patients, we investigated whether LAVI is an independent predictor of post-liver transplantation mortality using multivariable Cox regression. We found that elevated LAVI was associated with increased mortality among patients with high Model for End-Stage Liver Disease (MELD) scores, but not among those with lower MELD scores, indicating that recipients with high LAVI values and high MELD scores may represent patients at an increased risk of post-transplantation mortality. Specifically, there was a statistically significant interaction between LAVI and MELD score (P = .006) such that for patients with MELD scores ≥33, LAVI >27 mL/m2 was associated with increased mortality (hazard ratio = 2.3; 95% confidence interval, 1.04-5.20; P = .04.) We further show that the inclusion of LAVI in a multivariable model led to a statistically significant improvement in the ability to predict post-liver transplantation mortality, with an increase in the model's C-statistic from 0.68 to 0.71. The incorporation of LAVI in multivariable risk models may be useful in the selection of transplant recipients with high MELD scores, and may be helpful in decreasing the probability of futile transplantation.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29880363     DOI: 10.1016/j.transproceed.2018.03.017

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  1 in total

1.  Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data.

Authors:  Brent D Ershoff; Christine K Lee; Christopher L Wray; Vatche G Agopian; Gregor Urban; Pierre Baldi; Maxime Cannesson
Journal:  Transplant Proc       Date:  2020-01-08       Impact factor: 1.066

  1 in total

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