Literature DB >> 26194602

Serum fibrosis biomarkers predict death and graft loss in liver transplantation recipients.

Mamatha Bhat1, Peter Ghali1, Kathleen C Rollet-Kurhajec2, Aparna Bhat1, Philip Wong1, Marc Deschenes1, Giada Sebastiani1,2.   

Abstract

Noninvasive serum fibrosis biomarkers predict clinical outcomes in pretransplant patients with chronic liver disease. We investigated the role of serum fibrosis biomarkers and of changes in biomarkers in predicting death and graft loss after liver transplantation (LT). We included 547 patients who underwent LT between 1991 and 2012 and who met the following criteria: patient and graft survival > 12 months; serum fibrosis biomarkers aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis score 4 (FIB-4), and nonalcoholic fatty liver disease (NAFLD) fibrosis score available at 1 year after LT; and a minimum follow-up of 1 year. Delta of fibrosis biomarkers was defined as (end of follow-up score--baseline score)/follow-up duration. Baseline and delta fibrosis biomarkers were associated with death: APRI > 1.5 (adjusted hazard ratio [aHR], 2.2; 95% confidence interval [CI], 1.4-3.3; P < 0.001) and delta APRI > 0.5 (aHR, 5.3; 95% CI, 3.4-8.2; P < 0.001); FIB-4 > 3.3 (aHR, 1.9; 95% CI, 1.3-2.8; P = 0.002) and delta FIB-4 > 1.4 (aHR, 2.4; 95% CI, 1.4-4.1; P = 0.001); and NAFLD fibrosis score > 0.7 (aHR, 1.9; 95% CI, 1.3-2.9; P = 0.002) and delta NAFLD fibrosis score (aHR, 3.7; 95% CI, 2.6-5.4; P < 0.001). Baseline and delta fibrosis biomarkers were associated also with graft loss. In conclusion, serum fibrosis biomarkers 1 year after LT and changes in serum fibrosis biomarkers predict death and graft loss in LT recipients. They may help in risk stratification of LT recipients and identify patients requiring closer monitoring.
© 2015 American Association for the Study of Liver Diseases.

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Year:  2015        PMID: 26194602     DOI: 10.1002/lt.24217

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  6 in total

1.  The long-term outcomes of deceased-donor liver transplantation for primary biliary cirrhosis: a two-center study in China.

Authors:  Lin Chen; Xiaodong Shi; Guoyue Lv; Xiaodong Sun; Chao Sun; Yanjun Cai; Junqi Niu; Jinglan Jin; Ning Liu; Wanyu Li
Journal:  PeerJ       Date:  2020-08-19       Impact factor: 2.984

2.  Recurrence of Hepatocellular Carcinoma After Liver Transplantation is Associated with Episodes of Acute Rejections.

Authors:  Safak Gül-Klein; Anika Kästner; Philipp Konstantin Haber; Felix Krenzien; Simon Wabitsch; Alexander Krannich; Andreas Andreou; Dennis Eurich; Frank Tacke; David Horst; Johann Pratschke; Moritz Schmelzle
Journal:  J Hepatocell Carcinoma       Date:  2021-03-18

3.  Oval Cells Contribute to Fibrogenesis of Marginal Liver Grafts under Stepwise Regulation of Aldose Reductase and Notch Signaling.

Authors:  Xiao-Bing Liu; Chung-Mau Lo; Qiao Cheng; Kevin Tak-Pan Ng; Yan Shao; Chang-Xian Li; Sookja K Chung; Irene Oi Lin Ng; Jun Yu; Kwan Man
Journal:  Theranostics       Date:  2017-10-24       Impact factor: 11.556

4.  Performance of transient elastography and serum fibrosis biomarkers for non-invasive evaluation of recurrent fibrosis after liver transplantation: A meta-analysis.

Authors:  Mamatha Bhat; Mahmood Tazari; Giada Sebastiani
Journal:  PLoS One       Date:  2017-09-27       Impact factor: 3.240

Review 5.  Noninvasive markers of liver steatosis and fibrosis after liver transplantation - Where do we stand?

Authors:  Ivana Mikolasevic; Sanja Stojsavljevic; Filip Blazic; Maja Mijic; Delfa Radic-Kristo; Toni Juric; Nadija Skenderevic; Mia Klapan; Andjela Lukic; Tajana Filipec Kanizaj
Journal:  World J Transplant       Date:  2021-03-18

6.  Inference about time-dependent prognostic accuracy measures in the presence of competing risks.

Authors:  Rajib Dey; Giada Sebastiani; Paramita Saha-Chaudhuri
Journal:  BMC Med Res Methodol       Date:  2020-08-28       Impact factor: 4.615

  6 in total

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