Size and location of spontaneous portosystemic shunts predict the risk of decompensation in cirrhotic patients.


Journal

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
ISSN: 1878-3562
Titre abrégé: Dig Liver Dis
Pays: Netherlands
ID NLM: 100958385

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 21 10 2020
revised: 29 11 2020
accepted: 17 12 2020
pubmed: 9 1 2021
medline: 12 2 2022
entrez: 8 1 2021
Statut: ppublish

Résumé

The prognostic role of spontaneous portosystemic shunts (SPSS) has been poorly investigated. To evaluate the impact of the presence of SPSS, as well as their characteristics, on the risk of decompensation. This is a retrospective cohort study of 235 advanced chronic liver disease (ACLD) patients with available imaging examination, transient elastography, and upper endoscopy. ACLD was defined as liver stiffness measurement (LSM) >10 kPa. Competitive risk analyses were performed to identify the factors associated with the main outcome. SPSS were reported in 141 (60%) of the patients. Non-viral etiology was independently associated with SPSS presence [Odds-Ratio (OR): 2.743;95%-Interval-of-Confidence (IC):1.129-6.664]. During a follow-up of 37 (20-63) months, SPSS were found predictors of any decompensation type [Subhazard Ratio (SHR):2.264; 95%-IC:1.259-4.071], independently from a history of decompensation or high-risk-varices presence. The risk of complications was higher in patients with large (SHR: 3.775; 95%-IC: 2.016-7.070) and multiple (SHR:3.832; 95%-IC: 2.004-7.330) shunts, and in those with gastrorenal shunts (SHR:2.636; 95%-IC:1.521-4.569). The presence, size, and number of SPSS predict not only the risk of hepatic encephalopathy but that of any type of decompensation across all stages of cirrhosis. Future studies should explore the possibility of treating shunts to prevent decompensation.

Sections du résumé

BACKGROUND BACKGROUND
The prognostic role of spontaneous portosystemic shunts (SPSS) has been poorly investigated.
AIMS OBJECTIVE
To evaluate the impact of the presence of SPSS, as well as their characteristics, on the risk of decompensation.
METHODS METHODS
This is a retrospective cohort study of 235 advanced chronic liver disease (ACLD) patients with available imaging examination, transient elastography, and upper endoscopy. ACLD was defined as liver stiffness measurement (LSM) >10 kPa. Competitive risk analyses were performed to identify the factors associated with the main outcome.
RESULTS RESULTS
SPSS were reported in 141 (60%) of the patients. Non-viral etiology was independently associated with SPSS presence [Odds-Ratio (OR): 2.743;95%-Interval-of-Confidence (IC):1.129-6.664]. During a follow-up of 37 (20-63) months, SPSS were found predictors of any decompensation type [Subhazard Ratio (SHR):2.264; 95%-IC:1.259-4.071], independently from a history of decompensation or high-risk-varices presence. The risk of complications was higher in patients with large (SHR: 3.775; 95%-IC: 2.016-7.070) and multiple (SHR:3.832; 95%-IC: 2.004-7.330) shunts, and in those with gastrorenal shunts (SHR:2.636; 95%-IC:1.521-4.569).
CONCLUSIONS CONCLUSIONS
The presence, size, and number of SPSS predict not only the risk of hepatic encephalopathy but that of any type of decompensation across all stages of cirrhosis. Future studies should explore the possibility of treating shunts to prevent decompensation.

Identifiants

pubmed: 33414086
pii: S1590-8658(20)31195-6
doi: 10.1016/j.dld.2020.12.114
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103-110

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Auteurs

Elton Dajti (E)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Matteo Renzulli (M)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Antonio Colecchia (A)

Unit of Gastroenterology, Borgo Trento University Hospital of Verona, P.le Aristide Stefani 1, Verona 37126, Italy. Electronic address: antonio.colecchia@aovr.veneto.it.

Maria Letizia Bacchi-Reggiani (ML)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Matteo Milandri (M)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Benedetta Rossini (B)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Federico Ravaioli (F)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Giovanni Marasco (G)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Luigina Vanessa Alemanni (LV)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Anna Maria Ierardi (AM)

Diagnostic and Interventional Radiology, San Paolo Hospital, Milan, Italy.

Gianpaolo Carrafiello (G)

Unit of Radiology, IRCSS Ca' Granda, Policlinico of Milan, Italy.

Massimo Pinzani (M)

UCL Institute for Liver and Digestive Health and Sheila Sherlock Liver Unit, Royal Free Hospital and UCL, London, United Kingdom.

Francesco Azzaroli (F)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Giuseppe Mazzella (G)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Rita Golfieri (R)

Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

Davide Festi (D)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy.

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Classifications MeSH