• Lancet Gastroenterol Hepatol · Aug 2017

    Development and validation of the HALT-HCC score to predict mortality in liver transplant recipients with hepatocellular carcinoma: a retrospective cohort analysis.

    • Kazunari Sasaki, Daniel J Firl, Koji Hashimoto, Masato Fujiki, Teresa Diago-Uso, Cristiano Quintini, Bijan Eghtesad, John J Fung, Federico N Aucejo, and Charles M Miller.
    • Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA; Department of General Surgery, Digestive Disease Institute, Cleveland Clinic, Cleveland, OH, USA.
    • Lancet Gastroenterol Hepatol. 2017 Aug 1; 2 (8): 595-603.

    BackgroundTumour morphological criteria for determining the appropriateness of liver transplantation in patients with hepatocellular carcinoma poorly estimate post-transplantation mortality. The aim of this study was to develop and assess the utility of a continuous risk score in predicting overall survival following liver transplantation for hepatocellular carcinoma.MethodsWe did a retrospective cohort analysis to develop a continuous multivariable risk score for assessment of overall survival following liver transplantation for hepatocellular carcinoma. We used data from 420 patients with hepatocellular carcinoma who underwent liver transplantation between Jan 1, 2002, and Oct 31, 2014, at the Cleveland Clinic Foundation (CCF), Cleveland, OH, USA. The model we developed (Hazard Associated with Liver Transplantation for Hepatocellular Carcinoma; HALT-HCC) assessed the association of the following previously reported variables of interest with overall survival by use of multivariate Cox regression: MELD-sodium (MELD-Na), tumour burden score (TBS), alpha-fetoprotein (AFP), year of transplantation, underlying cause of cirrhosis, neutrophil-lymphocyte ratio, history of locoregional therapy, and Milan criteria status. Once the risk equation was generated, validation and calibration of risk assessment was done with nationwide data for the same time period from the Scientific Registry of Transplant Recipients (SRTR; n=13 717).FindingsThe risk equation was generated as (1·27 × TBS) + (1·85 × lnAFP) + (0·26 × MELD-Na) and the HALT-HCC score ranged from 2·40 to 46·42 in the CCF cohort. In the validation cohort, prognosis worsened with increasing HALT-HCC score (5-year overall survival of 78·7% [95% CI 76·9-80·4] for quartile 1, 74·5% [72·6-76·2] for quartile 2, 71·8% [70·1-73·5] for quartile 3, and 61·5% [59·6-63·3] for quartile 4; p<0·0001). Multivariate Cox modelling showed that HALT-HCC was significantly associated with overall survival (hazard ratio [HR] 1·06 per point, 95% CI 1·05-1·07), even after adjustment for risk factors not related to hepatocellular carcinoma. Assessment of discrimination revealed a C-index of 0·613 (95% CI 0·602-0·623). Calibration coefficients for linear regressions of observed versus predicted mortality were 1·001 (95% CI 0·998-1·007) at 1 year and 0·982 (0·980-0·987) at 2 years after transplantation. Patients within and outside the Milan criteria showed similar risk of death when stratified by HALT-HCC score. Among the 12 754 patients who met the Milan criteria, 2714 were shown to have poor prognosis after transplantation after stratification by HALT-HCC score with a cutoff of 17; conversely, among the 963 patients who did not meet the Milan criteria, 287 had demonstrably good prognosis.InterpretationThe HALT-HCC score might enable clinicians to accurately assess post-transplantation survival in patients with hepatocellular carcinoma by use of individualised, preoperatively assessed characteristics. However, further studies are needed before adoption.FundingNone.Copyright © 2017 Elsevier Ltd. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…