Expanding Selection Criteria in Deceased Donor Liver Transplantation for Hepatocellular Carcinoma: Long-term Follow-up of a National Registry and 2 Transplant Centers

被引:6
|
作者
Wehrle, Chase J. [1 ]
Kusakabe, Jiro [1 ]
Akabane, Miho [2 ]
Maspero, Marianna [3 ]
Zervos, Bobby [4 ]
Esfeh, Jamak Modaresi [5 ]
Linganna, Maureen Whitsett [5 ]
Imaoka, Yuki [2 ]
Khalil, Mazhar [1 ]
Pita, Alejandro [1 ]
Kim, Jaekeun [1 ]
Diago-Uso, Teresa [6 ]
Fujiki, Masato [1 ]
Eghtesad, Bijan [1 ]
Quintini, Cristiano [6 ]
Kwon, Choon David [1 ]
Pinna, Antonio [4 ]
Aucejo, Federico [1 ]
Miller, Charles [1 ]
Mazzaferro, Vincenzo [3 ]
Schlegel, Andrea [1 ,7 ]
Sasaki, Kazunari [2 ]
Hashimoto, Koji [1 ]
机构
[1] Cleveland Clin, Digest Dis Inst, Transplantat Ctr, Dept Surg, Cleveland, OH USA
[2] Stanford Univ Hosp, Dept Surg, Palo Alto, CA USA
[3] IRCCS Ist Tumori, Gen Surg & Liver Transplantat Unit, Milan, Italy
[4] Cleveland Clin, Weston Hosp, Dept Liver Transplantat, Weston, FL USA
[5] Cleveland Clin, Dept Gastroenterol & Hepatol, Cleveland, OH USA
[6] Cleveland Clin Abu Dhabi, Digest Dis Inst, Transplantat Ctr, Dept Surg, Abu Dhabi, U Arab Emirates
[7] Cleveland Clin, Lerner Res Inst, Dept Immunol, Cleveland, OH USA
关键词
DEATH; MILAN; DONATION; PATIENT;
D O I
10.1097/TP.0000000000005097
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background.This study compares selection criteria for liver transplant (LT) for hepatocellular carcinoma (HCC) for inclusivity and predictive ability to identify the most permissive criteria that maintain patient outcomes. Methods.The Scientific Registry of Transplant Recipients (SRTR) database was queried for deceased donor LT's for HCC (2003-2020) with 3-y follow-up; these data were compared with a 2-center experience. Milan, University of California, San Francisco (UCSF), 5-5-500, Up-to-seven (U7), HALT-HCC, and Metroticket 2.0 scores were calculated. Results.Nationally, 26 409 patients were included, and 547 at the 2 institutions. Median SRTR-follow-up was 6.8 y (interquartile range 3.9-10.1). Three criteria allowed the expansion of candidacy versus Milan: UCSF (7.7%, n = 1898), Metroticket 2.0 (4.2%, n = 1037), and U7 (3.5%, n = 828). The absolute difference in 3-y overall survival (OS) between scores was 1.5%. HALT-HCC (area under the curve [AUC] = 0.559, 0.551-0.567) best predicted 3-y OS although AUC was notably similar between criteria (0.506 < AUC < 0.527, Mila n = 0.513, UCSF = 0.506, 5-5-500 = 0.522, U7 = 0.511, HALT-HCC = 0.559, and Metroticket 2.0 = 0.520), as was Harrall's c-statistic (0.507 < c-statistic < 0.532). All scores predicted survival to P < 0.001 on competing risk analysis. Median follow-up in our enterprise was 9.8 y (interquartile range 7.1-13.3). U7 (13.0%, n = 58), UCSF (11.1%, n = 50), HALT-HCC (6.4%, n = 29), and Metroticket 2.0 (6.3%, n = 28) allowed candidate expansion. HALT-HCC (AUC = 0.768, 0.713-0.823) and Metroticket 2.0 (AUC = 0.739, 0.677-0.801) were the most predictive of recurrence. All scores predicted recurrence and survival to P < 0.001 using competing risk analysis. Conclusions.Less restrictive criteria such as Metroticket 2.0, UCSF, or U7 allow broader application of transplants for HCC without sacrificing outcomes. Thus, the criteria for Model for End-stage Liver Disease-exception points for HCC should be expanded to allow more patients to receive life-saving transplantation.
引用
收藏
页码:2386 / 2395
页数:10
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