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  3. Total area of spontaneous portosystemic shunts independently predicts hepatic encephalopathy and mortality in liver cirrhosis.
 

Total area of spontaneous portosystemic shunts independently predicts hepatic encephalopathy and mortality in liver cirrhosis.

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BORIS DOI
10.7892/boris.148161
Date of Publication
June 2020
Publication Type
Article
Division/Institute

Universitätsinstitut ...

Universitätsklinik fü...

Author
Praktiknjo, Michael
Simón-Talero, Macarena
Römer, Julia
Roccarina, Davide
Martínez, Javier
Lampichler, Katharina
Baiges, Anna
Low, Gavin
Llop, Elba
Maurer, Martin
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Zipprich, Alexander
Triolo, Michela
Maleux, Geert
Fialla, Annette Dam
Dam, Claus
Vidal-González, Judit
Majumdar, Avik
Picón, Carmen
Toth, Daniel
Darnell, Anna
Abraldes, Juan G
López, Marta
Jansen, Christian
Chang, Johannes
Schierwagen, Robert
Uschner, Frank
Kukuk, Guido
Meyer, Carsten
Thomas, Daniel
Wolter, Karsten
Strassburg, Christian P
Laleman, Wim
La Mura, Vincenzo
Ripoll, Cristina
Berzigotti, Annalisaorcid-logo
Universitätsklinik für Viszerale Chirurgie und Medizin, Hepatologie
Department for BioMedical Research, Hepatologie Forschung
Calleja, José Luis
Tandon, Puneeta
Hernandez-Gea, Virginia
Reiberger, Thomas
Albillos, Agustín
Tsochatzis, Emmanuel A
Krag, Aleksander
Genescà, Joan
Trebicka, Jonel
Subject(s)

600 - Technology::610...

Series
Journal of hepatology
ISSN or ISBN (if monograph)
0168-8278
Publisher
Elsevier
Language
English
Publisher DOI
10.1016/j.jhep.2019.12.021
PubMed ID
31954206
Uncontrolled Keywords

ACLF Acute decompensa...

Description
BACKGROUND & AIMS

Spontaneous portosystemic shunts (SPSS) frequently develop in liver cirrhosis. Recent data suggested that the presence of a single large SPSS is associated with complications, especially overt hepatic encephalopathy (oHE). However, the presence of >1 SPSS is common. This study evaluates the impact of total cross-sectional SPSS area (TSA) on outcomes in patients with liver cirrhosis.

METHODS

In this retrospective international multicentric study, CT scans of 908 cirrhotic patients with SPSS were evaluated for TSA. Clinical and laboratory data were recorded. Each detected SPSS radius was measured and TSA calculated. One-year survival was the primary endpoint and acute decompensation (oHE, variceal bleeding, ascites) was the secondary endpoint.

RESULTS

A total of 301 patients (169 male) were included in the training cohort. Thirty percent of all patients presented with >1 SPSS. A TSA cut-off of 83 mm2 was used to classify patients with small or large TSA (S-/L-TSA). Patients with L-TSA presented with higher model for end-stage liver disease score (11 vs. 14) and more commonly had a history of oHE (12% vs. 21%, p <0.05). During follow-up, patients with L-TSA experienced more oHE episodes (33% vs. 47%, p <0.05) and had lower 1-year survival than those with S-TSA (84% vs. 69%, p <0.001). Multivariate analysis identified L-TSA (hazard ratio 1.66; 95% CI 1.02-2.70, p <0.05) as an independent predictor of mortality. An independent multicentric validation cohort of 607 patients confirmed that patients with L-TSA had lower 1-year survival (77% vs. 64%, p <0.001) and more oHE development (35% vs. 49%, p <0.001) than those with S-TSA.

CONCLUSION

This study suggests that TSA >83 mm2 increases the risk for oHE and mortality in patients with cirrhosis. Our results support the clinical use of TSA/SPSS for risk stratification and decision-making in the management of patients with cirrhosis.

LAY SUMMARY

The prevalence of spontaneous portosystemic shunts (SPSS) is higher in patients with more advanced chronic liver disease. The presence of more than 1 SPSS is common in advanced chronic liver disease and is associated with the development of hepatic encephalopathy. This study shows that total cross-sectional SPSS area (rather than diameter of the single largest SPSS) predicts survival in patients with advanced chronic liver disease. Our results support the clinical use of total cross-sectional SPSS area for risk stratification and decision-making in the management of SPSS.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/45126
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