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Research Article| Volume 74, ISSUE 4, P829-837, April 2021

A novel waitlist dropout score for hepatocellular carcinoma – identifying a threshold that predicts worse post-transplant survival

  • Neil Mehta
    Correspondence
    Corresponding author. Address: Room S-357, 513 Parnassus Avenue, University of California, San Francisco, San Francisco, CA, 94143-0538, USA. Tel.: +1-415-514-0332; Fax: +1-415-4760659.
    Affiliations
    Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
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  • Jennifer L. Dodge
    Affiliations
    Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
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  • John P. Roberts
    Affiliations
    Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
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  • Francis Y. Yao
    Affiliations
    Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA

    Division of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
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Published:November 11, 2020DOI:https://doi.org/10.1016/j.jhep.2020.10.033

      Highlights

      • Increasing tumour burden, alpha-fetoprotein, Child-Pugh, and model for end-stage liver disease score predict HCC wait-list dropout.
      • Novel HCC dropout risk score stratifies 1-year dropout risk from 7% up to 40%.
      • Patients with HCC with the highest dropout risk score >30 have poor transplant survival.
      • In all others with HCC, calculated dropout risk can safely guide wait-list priority.

      Background & Aims

      It has been suggested that patients with hepatocellular carcinoma (HCC) at high risk of wait-list dropout would have done poorly after liver transplantation (LT) because of tumour aggressiveness. To test this hypothesis, we analysed risk of wait-list dropout among patients with HCC in long-wait regions (LWRs) to create a dropout risk score, and applied this score in short (SWRs) and mid-wait regions (MWRs) to evaluate post-LT outcomes. We sought to identify a threshold in dropout risk that predicts worse post-LT outcome.

      Methods

      Using the United Network for Organ Sharing database, including all patients with T2 HCC receiving priority listing from 2010 to 2014, a dropout risk score was created from a developmental cohort of 2,092 patients in LWRs, and tested in a validation cohort of 1,735 patients in SWRs and 2,894 patients in MWRs.

      Results

      On multivariable analysis, 1 tumour (3.1–5 cm) or 2–3 tumours, alpha-fetoprotein (AFP) >20 ng/ml, and increasing Child-Pugh and model for end-stage liver disease-sodium scores significantly predicted wait-list dropout. A dropout risk score using these 4 variables (C-statistic 0.74) was able to stratify 1-year cumulative incidence of dropout from 7.1% with a score ≤7 to 39.5% with a score >23. Patients with a dropout risk score >30 had 5-year post-LT survival of 60.1% vs. 71.8% for those with a score ≤30 (p = 0.004). There were no significant differences in post-LT survival below this threshold.

      Conclusions

      This study provided evidence that patients with HCC with the highest dropout risk have aggressive tumour biology that would also result in poor post-LT outcomes when transplanted quickly. Below this threshold risk score of ≤30, priority status for organ allocation could be stratified based on the predicted risks of wait-list dropout without significant differences in post-LT survival.

      Lay summary

      Prioritising patients with hepatocellular carcinoma for liver transplant based on risk of wait-list dropout has been considered but may lead to inferior post-transplant survival. In this study of nearly 7,000 patients, we created a threshold dropout risk score based on tumour and liver-related factors beyond which patients with hepatocellular carcinoma will likely have poor post-liver transplant outcomes (60% at 5 years). For patients below this risk score threshold, priority status could be stratified based on the predicted risk of wait-list dropout without compromising post-transplant survival.

      Graphical abstract

      Keywords

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