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Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis

INTRODUCTION: As liver disease progresses, scarring results in worsening hemodynamics ultimately culminating in portal hypertension. This process has classically been quantified through the portosystemic pressure gradient (PSG), which is clinically estimated by hepatic venous pressure gradient (HVPG...

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Autores principales: Mazumder, Nikhilesh R., Jezek, Filip, Tapper, Elliot B., Beard, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522110/
https://www.ncbi.nlm.nih.gov/pubmed/37092902
http://dx.doi.org/10.14309/ctg.0000000000000590
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author Mazumder, Nikhilesh R.
Jezek, Filip
Tapper, Elliot B.
Beard, Daniel A.
author_facet Mazumder, Nikhilesh R.
Jezek, Filip
Tapper, Elliot B.
Beard, Daniel A.
author_sort Mazumder, Nikhilesh R.
collection PubMed
description INTRODUCTION: As liver disease progresses, scarring results in worsening hemodynamics ultimately culminating in portal hypertension. This process has classically been quantified through the portosystemic pressure gradient (PSG), which is clinically estimated by hepatic venous pressure gradient (HVPG); however, PSG alone does not predict a given patient's clinical trajectory regarding the Baveno stage of cirrhosis. We hypothesize that a patient's PSG sensitivity to venous remodeling could explain disparate disease trajectories. METHODS: We created a computational model of the portal system in the context of worsening liver disease informed by physiologic measurements from the field of portal hypertension. We simulated progression of clinical complications, HVPG, and transjugular intrahepatic portosystemic shunt placement while only varying a patient's likelihood of portal venous remodeling. RESULTS: Our results unify hemodynamics, venous remodeling, and the clinical progression of liver disease into a mathematically consistent model of portal hypertension. We find that by varying how sensitive patients are to create venous collaterals with rising PSG we can explain variation in patterns of decompensation for patients with liver disease. Specifically, we find that patients who have higher proportions of portosystemic shunting earlier in disease have an attenuated rise in HVPG, delayed onset of ascites, and less hemodynamic shifting after transjugular intrahepatic portosystemic shunt placement. DISCUSSION: This article builds a computational model of portal hypertension which supports that patient-level differences in venous remodeling may explain disparate clinical trajectories of disease.
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spelling pubmed-105221102023-09-27 Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis Mazumder, Nikhilesh R. Jezek, Filip Tapper, Elliot B. Beard, Daniel A. Clin Transl Gastroenterol Article INTRODUCTION: As liver disease progresses, scarring results in worsening hemodynamics ultimately culminating in portal hypertension. This process has classically been quantified through the portosystemic pressure gradient (PSG), which is clinically estimated by hepatic venous pressure gradient (HVPG); however, PSG alone does not predict a given patient's clinical trajectory regarding the Baveno stage of cirrhosis. We hypothesize that a patient's PSG sensitivity to venous remodeling could explain disparate disease trajectories. METHODS: We created a computational model of the portal system in the context of worsening liver disease informed by physiologic measurements from the field of portal hypertension. We simulated progression of clinical complications, HVPG, and transjugular intrahepatic portosystemic shunt placement while only varying a patient's likelihood of portal venous remodeling. RESULTS: Our results unify hemodynamics, venous remodeling, and the clinical progression of liver disease into a mathematically consistent model of portal hypertension. We find that by varying how sensitive patients are to create venous collaterals with rising PSG we can explain variation in patterns of decompensation for patients with liver disease. Specifically, we find that patients who have higher proportions of portosystemic shunting earlier in disease have an attenuated rise in HVPG, delayed onset of ascites, and less hemodynamic shifting after transjugular intrahepatic portosystemic shunt placement. DISCUSSION: This article builds a computational model of portal hypertension which supports that patient-level differences in venous remodeling may explain disparate clinical trajectories of disease. Wolters Kluwer 2023-04-22 /pmc/articles/PMC10522110/ /pubmed/37092902 http://dx.doi.org/10.14309/ctg.0000000000000590 Text en © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology https://creativecommons.org/licenses/by-nc-nd/4.0/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) (https://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 Article
Mazumder, Nikhilesh R.
Jezek, Filip
Tapper, Elliot B.
Beard, Daniel A.
Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title_full Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title_fullStr Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title_full_unstemmed Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title_short Portal Venous Remodeling Determines the Pattern of Cirrhosis Decompensation: A Systems Analysis
title_sort portal venous remodeling determines the pattern of cirrhosis decompensation: a systems analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522110/
https://www.ncbi.nlm.nih.gov/pubmed/37092902
http://dx.doi.org/10.14309/ctg.0000000000000590
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