Two-dimensional shear wave elastography predicts survival in advanced chronic liver disease

  • Objective: Liver stiffness measurement (LSM) is a tool used to screen for significant fibrosis and portal hypertension. The aim of this retrospective multicentre study was to develop an easy tool using LSM for clinical outcomes in advanced chronic liver disease (ACLD) patients. Design: This international multicentre cohort study included a derivation ACLD patient cohort with valid two-dimensional shear wave elastography (2D-SWE) results. Clinical and laboratory parameters at baseline and during follow-up were recorded. LSM by transient elastography (TE) was also recorded if available. The primary outcome was overall mortality. The secondary outcome was the development of first/further decompensation. Results: After screening 2148 patients (16 centres), 1827 patients (55 years, 62.4% men) were included in the 2D-SWE cohort, with median liver SWE (L-SWE) 11.8 kPa and a model for end stage liver disease (MELD) score of 8. Combination of MELD score and L-SWE predict independently of mortality (AUC 0.8). L-SWE cut-off at ≥20 kPa combined with MELD ≥10 could stratify the risk of mortality and first/further decompensation in ACLD patients. The 2-year mortality and decompensation rates were 36.9% and 61.8%, respectively, in the 305 (18.3%) high-risk patients (with L-SWE ≥20 kPa and MELD ≥10), while in the 944 (56.6%) low-risk patients, these were 1.1% and 3.5%, respectively. Importantly, this M10LS20 algorithm was validated by TE-based LSM and in an additional cohort of 119 patients with valid point shear SWE-LSM. Conclusion: The M10LS20 algorithm allows risk stratification of patients with ACLD. Patients with L-SWE ≥20 kPa and MELD ≥10 should be followed closely and receive intensified care, while patients with low risk may be managed at longer intervals.

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Author:Jonel TrebickaORCiDGND, Wenyi GuORCiDGND, Victor De LedinghenORCiD, Christophe AubéORCiD, Aleksander KragORCiDGND, Michael PraktiknjoORCiDGND, Laurent CasteraORCiDGND, Jerome DumortierORCiD, David Josef Maria BauerORCiD, Mireen Friedrich-RustORCiDGND, Stanislas PolORCiD, Ivica GrgurevicORCiD, Rongqin Zheng, Sven FrancqueORCiD, Halima GottfriedovàORCiD, Sanda MustapicORCiD, Ioan SporeaORCiD, Annalisa BerzigottiORCiD, Frank Erhard UschnerORCiDGND, Benedikt Michael SimbrunnerORCiDGND, Maxime Ronot, Christophe CassinottoORCiD, Maria KjaergaardORCiD, Filipe Andrade, Martin SchulzGND, Georg SemmlerORCiD, Ida Tjesic DrinkovicORCiD, Johannes ChangORCiD, Maximilian BrolORCiDGND, Pierre Emmanuel RautouORCiDGND, Thomas VanwolleghemORCiD, Christian P. StraßburgORCiDGND, Jerome BoursierORCiD, Philip FerstlORCiDGND, Ditlev Nytoft RasmussenORCiD, Thomas ReibergerORCiDGND, Valerie VilgrainORCiD, Aymeric GuibalORCiD, Olivier GuillaudORCiD, Stefan ZeuzemORCiDGND, Camille Vassord, Xue LuORCiD, Luisa VonghiaORCiD, Renata SenkerikovaORCiD, Alina Popescu, Cristina Margini, Wenping Wang, Maja ThieleORCiDGND, Chrisitan JansenORCiDGND
URN:urn:nbn:de:hebis:30:3-860081
DOI:https://doi.org/10.1136/gutjnl-2020-323419
ISSN:1468-3288
Parent Title (English):Gut
Publisher:BMJ Publishing Group
Place of publication:London
Document Type:Article
Language:English
Date of Publication (online):2021/01/21
Date of first Publication:2021/01/21
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/08/16
Volume:71
Issue:2
Page Number:13
First Page:402
Last Page:414
Note:
JT is supported by grants from the Deutsche Forschungsgemeinschaft (SFB TRR57 to P18), European Union’s Horizon 2020 Research and Innovation Programme (Galaxy, No. 668031, MICROB-PREDICT, No. 825694 and DECISION No.84794), and Societal Challenges - Health, Demographic Change and Wellbeing (No. 731875), and Cellex Foundation (PREDICT). WG is supported by the China Scholarships Council (CSC: #201906230332). SF has a senior clinical research mandate from the Fund for Scientific Research (FWO) Flanders (1802154N). RZ was supported by the National Natural Science Foundation of China under grant no. 81827802.
HeBIS-PPN:521206669
Institutes:Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International