Jonel Trebicka, Wenyi Gu, Victor de Ledinghen, Christophe Aubé, Aleksander Krag, Michael Praktiknjo, Laurent Castera, Jerome Dumortier, David Josef Maria Bauer, Mireen Friedrich-Rust, Stanislas Pol, Ivica Grgurevic, Rongqin Zheng, Sven Francque, Halima Gottfriedovà, Sanda Mustapic, Ioan Sporea, Annalisa Berzigotti, Frank Erhard Uschner, Benedikt Michael Simbrunner, Maxime Ronot, Christophe Cassinotto, Maria Kjaergaard, Filipe Andrade, Martin Schulz, Georg Semmler, Ida Tjesic Drinkovic, Johannes Chang, Maximilian Brol, Pierre Emmanuel Rautou, Thomas Vanwolleghem, Christian P. Straßburg, Jerome Boursier, Philip Ferstl, Ditlev Nytoft Rasmussen, Thomas Reiberger, Valerie Vilgrain, Aymeric Guibal, Olivier Guillaud, Stefan Zeuzem, Camille Vassord, Xue Lu, Luisa Vonghia, Renata Senkerikova, Alina Popescu, Cristina Margini, Wenping Wang, Maja Thiele, Chrisitan Jansen
- 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.
MetadatenAuthor: | Jonel TrebickaORCiDGND, Wenyi GuORCiDGND, Victor de Ledinghen, Christophe Aubé, Aleksander KragORCiDGND, Michael PraktiknjoORCiDGND, Laurent CasteraORCiDGND, Jerome Dumortier, David Josef Maria Bauer, Mireen Friedrich-RustORCiDGND, Stanislas Pol, Ivica Grgurevic, Rongqin Zheng, Sven FrancqueORCiD, Halima Gottfriedovà, Sanda Mustapic, Ioan Sporea, Annalisa Berzigotti, Frank Erhard UschnerORCiDGND, Benedikt Michael SimbrunnerGND, Maxime Ronot, Christophe CassinottoORCiD, Maria Kjaergaard, Filipe Andrade, Martin SchulzGND, Georg Semmler, Ida Tjesic Drinkovic, Johannes Chang, Maximilian BrolORCiDGND, Pierre Emmanuel RautouORCiDGND, Thomas Vanwolleghem, Christian P. StraßburgORCiDGND, Jerome BoursierORCiD, Philip FerstlORCiDGND, Ditlev Nytoft Rasmussen, Thomas ReibergerORCiDGND, Valerie Vilgrain, Aymeric Guibal, Olivier Guillaud, Stefan ZeuzemORCiDGND, Camille Vassord, Xue Lu, Luisa Vonghia, Renata Senkerikova, Alina Popescu, Cristina Margini, Wenping Wang, Maja ThieleORCiDGND, Chrisitan JansenGND |
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URN: | urn:nbn:de:hebis:30:3-860081 |
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DOI: | https://doi.org/10.1136/gutjnl-2020-323419 |
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ISSN: | 1468-3288 |
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Parent Title (English): | Gut |
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Publisher: | BMJ Publishing Group |
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Place of publication: | London |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2021/01/21 |
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Date of first Publication: | 2021/01/21 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Release Date: | 2024/08/16 |
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Volume: | 71 |
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Issue: | 2 |
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Page Number: | 13 |
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First Page: | 402 |
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Last Page: | 414 |
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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. |
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Institutes: | Medizin |
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Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Licence (German): | Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
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