Skip to main content
Log in

Early Prediction of Post-hepatectomy Liver Failure in Patients Undergoing Major Hepatectomy Using a PHLF Prognostic Nomogram

  • Original Scientific Report
  • Published:
World Journal of Surgery Aims and scope Submit manuscript

Abstract

Background

Liver resection (LR) is the main modality of treatment for hepatocellular carcinoma (HCC) and colorectal liver metastasis (CRLM). Post-hepatectomy liver failure (PHLF) remains the most dreaded complication. We aim to create a prognostic score for early risk stratification of patients undergoing LR.

Methodology

Clinical and operative data of 472 patients between 2000 and 2016 with HCC or CRLM undergoing major hepatectomy were extracted and analysed from a prospectively maintained database. PHLF was defined using the 50–50 criteria.

Results

Liver cirrhosis and fatty liver were histologically confirmed in 35.6% and 53% of patients. 4.7% (n = 22) of patients had PHLF. A 90-day mortality was 5.1% (n = 24). Pre-operative albumin–bilirubin score (p = 0.0385), prothrombin time (p < 0.0001) and the natural logarithm of the ratio of post-operative day 1 to pre-operative serum bilirubin (SB) (ln(POD1Bil/pre-opBil); p < 0.0001) were significantly independent predictors of PHLF. The PHLF prognostic nomogram was developed using these factors with receiver operating curve showing area under curve of 0.88. Excellent sensitivity (94.7%) and specificity (95.7%) for the prediction of PHLF (50–50 criteria) were achieved at cut-offs of 9 and 11 points on this model. This score was also predictive of PHLF according to PeakBil > 7 and International Study Group for Liver Surgery criteria, intensive care unit admissions, length of stay, all complications, major complications, re-admissions and mortality (p < 0.05).

Conclusions

The PHLF nomogram (https://tinyurl.com/SGH-PHLF-Risk-Calculator) can serve as a useful tool for early identification of patients at high risk of PHLF before the ‘point of no return’. This allows enforcement of closer monitoring, timely intervention and mitigation of adverse outcomes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

PPV:

Positive predictive value

NPV:

Negative predictive value

NE:

Not evaluable

References

  1. Wallace MC, Preen D, Jeffrey GP et al (2015) The evolving epidemiology of hepatocellular carcinoma: a global perspective. Expert Rev Gastroenterol Hepatol 9(6):765–779

    Article  CAS  PubMed  Google Scholar 

  2. Menfredi S, Lepage C, Hatem C et al (2006) Epidemiology and management of liver metastases from colorectal cancer. Ann Surg 244(2):254

    Article  Google Scholar 

  3. Nathan H, Hyder O, Mayo SC et al (2013) Surgical therapy for early hepatocellular carcinoma in the modern era: a 10-year SEER-medicare analysis. Ann Surg 258(6):1022

    Article  PubMed  Google Scholar 

  4. Lu WP, Dong JH (2014) Hepatectomy for hepatocellular carcinoma in the era of liver transplantation. World J Gastroenterol 20(28):9237–9244

    PubMed  PubMed Central  Google Scholar 

  5. Gilg S, Sandström P, Rizell M et al (2018) The impact of post-hepatectomy liver failure on mortality: a population-based study. Scand J Gastroenterol 25:1–5

    Google Scholar 

  6. Ray S, Mehta NN, Golhar A et al (2018) Post hepatectomy liver failure–A comprehensive review of current concepts and controversies. Ann Med Surg 34:4–10

    Article  CAS  Google Scholar 

  7. Kauffmann R, Fong Y (2014) Post-hepatectomy liver failure. Hepatobiliary Surg Nutr 3(5):238

    PubMed  PubMed Central  Google Scholar 

  8. Balzan S, Belghiti J, Farges O et al (2005) The “50-50 criteria” on postoperative day 5: an accurate predictor of liver failure and death after hepatectomy. Ann Surg 242(6):824

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rahbari NN, Garden OJ, Padbury R et al (2011) Posthepatectomy liver failure: a definition and grading by the international study group of liver surgery (ISGLS). Surgery 149(5):713–724

    Article  PubMed  Google Scholar 

  10. Mullen JT, Ribero D, Reddy SK et al (2007) Hepatic insufficiency and mortality in 1,059 noncirrhotic patients undergoing major hepatectomy. J Am Coll Surg 204(5):854–862

    Article  PubMed  Google Scholar 

  11. Strasberg SM, Belghiti J, Clavien PA et al (2000) The Brisbane 2000 terminology of liver anatomy and resections. Hpb 2(3):333–339

    Article  Google Scholar 

  12. Skrzypczyk C, Truant S, Duhamel A et al (2014) Relevance of the ISGLS definition of posthepatectomy liver failure in early prediction of poor outcome after liver resection: study on 680 hepatectomies. Ann Surg 260(5):865–870

    Article  PubMed  Google Scholar 

  13. Johnson PJ, Berhane S, Kagebayashi C et al (2015) Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin Oncol 33(6):550–558

    Article  PubMed  Google Scholar 

  14. Lee SY, Sadot E, Chou JF et al (2015) Central hepatectomy versus extended hepatectomy for liver malignancy: a matched cohort comparison. HPB 17(11):1025–1032

    Article  PubMed  PubMed Central  Google Scholar 

  15. Zyromski NJ (2015) Handbook of hepato-pancreato-biliary surgery. Indianapolis, IN, Wolters Kluwer

    Google Scholar 

  16. Lee SY (2014) Central hepatectomy for centrally located malignant liver tumors: a systematic review. World J Hepatol 6(5):347

    Article  PubMed  PubMed Central  Google Scholar 

  17. Miyagawa S, Makuuchi M, Kawasaki S et al (1995) Criteria for safe hepatic resection. Am J Surg 169(6):589–594

    Article  CAS  PubMed  Google Scholar 

  18. Durand F, Valla D (2005) Assessment of the prognosis of cirrhosis: Child-Pugh versus Meld. J Hepatol 42(suppl):100–107

    Article  Google Scholar 

  19. Ford J, Coughlin KR, Van Dorp D et al (2015) Validation of the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) risk calculator to estimate serious complications in patients undergoing major gastrointestinal oncologic resection. J Am Coll Surg 221(4):e135–e136

    Article  Google Scholar 

  20. Teo JY, Lee SY, Chan CY, et al. Surgical Management of Hepatocellular Carcinoma. In Nandakumar G, ed Textbook of Hepatobiliary & Gastrointestinal Surgery. Jaypee Brothers Medical Publisher. 1st Edition 2016. IBSN: 978-9351529392

  21. Schreckenbach T, Liese J, Bechstein WO et al (2012) Posthepatectomy liver failure. Digest Surg 29(1):79–85

    Article  Google Scholar 

  22. Tomimaru Y, Eguchi H, Gotoh K et al (2016) Platelet count is more useful for predicting posthepatectomy liver failure at surgery for hepatocellular carcinoma than indocyanine green clearance test. J Surg Oncol 113:565–569

    Article  PubMed  Google Scholar 

  23. Paugam-Burtz C, Janny S, Delefosse D et al (2009) Prospective validation of the “fifty-fifty” criteria as an early and accurate predictor of death after liver resection in intensive care unit patients. Ann Surg 249(1):124–128

    Article  PubMed  Google Scholar 

  24. Rahbari NN, Reissfelder C, Koch M et al (2011) The predictive value of post-operative clinical risk scores for outcome after hepatic resection: a validation analysis in 807 patients. Ann Surg Oncol 18(13):3640–3649

    Article  PubMed  Google Scholar 

  25. Du ZG, Wei YG, Chen KF et al (2014) An accurate predictor of liver failure and death after hepatectomy: a single institution’s experience with 478 consecutive cases. World J Gastroenterol: WJG 20(1):274

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kim HJ, Kim CY, Park EK et al (2015) Volumetric analysis and indocyanine green retention rate at 15 min as predictors of post-hepatectomy liver failure. HPB 17(2):159–167

    Article  PubMed  Google Scholar 

  27. Garcea G, Ong SL, Maddern GJ (2009) Predicting liver failure following major hepatectomy. Digest Liver Dis 41(11):798–806

    Article  CAS  Google Scholar 

  28. Furuyama T, Kudo A, Matsumura S et al (2016) Preoperative direct bilirubin to prothrombin time ratio index to prevent liver failure after minor hepatectomy. J Hepato-Biliary-Pancreat Sci 23(12):763–770

    Article  Google Scholar 

  29. Zou H, Wen Y, Yuan K et al (2018) Combining albumin-bilirubin score with future liver remnant predicts post-hepatectomy liver failure in HBV-associated HCC patients. Liver International 38(3):494–502

    Article  CAS  PubMed  Google Scholar 

  30. Chin KM, Allen JC, Teo JY et al (2018) Predictors of post-hepatectomy liver failure in patients undergoing extensive liver resections for hepatocellular carcinoma. Ann Hepato-biliary-Pancreat Surg 22(3):185–196

    Article  Google Scholar 

  31. Zhang ZQ, Xiong L, Zhou JJ et al (2018) Ability of the ALBI grade to predict posthepatectomy liver failure and long-term survival after liver resection for different BCLC stages of HCC. World J Surg Oncol 16(1):208

    Article  PubMed  PubMed Central  Google Scholar 

  32. Nanashima A, Abo T, Arai J et al (2013) Functional liver reserve parameters predictive for posthepatectomy complications. J Surg Res 185(1):127–135

    Article  PubMed  Google Scholar 

  33. Motoyama H, Kobayashi A, Yokoyama T et al (2014) Liver failure after hepatocellular carcinoma surgery. Langenbeck's Arch Surg 399(8):1047–1055

    Article  Google Scholar 

  34. Nanashima A, Tobinaga S, Abo T et al (2010) Reducing the incidence of post-hepatectomy hepatic complications by preoperatively applying parameters predictive of liver function. J Hepato-biliary-Pancreat Sci 17(6):871–878

    Article  Google Scholar 

  35. Lee SY, Chin KM, Allen JC et al (2018) Post-hepatectomy liver failure in cirrhotic patients undergoing extensive liver resections–An Asian experience. HPB 1(20):S405

    Article  Google Scholar 

  36. Cucchetti A, Ercolani G, Vivarelli M, Cescon M, Ravaioli M, La Barba G, Zanello M, Grazi GL, Pinna AD (2006) Impact of model for end-stage liver disease (MELD) score on prognosis after hepatectomy for hepatocellular carcinoma on cirrhosis. Liver Transpl 12(6):966–971

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ye Xin Koh.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chin, K.M., Koh, Y.X., Syn, N. et al. Early Prediction of Post-hepatectomy Liver Failure in Patients Undergoing Major Hepatectomy Using a PHLF Prognostic Nomogram. World J Surg 44, 4197–4206 (2020). https://doi.org/10.1007/s00268-020-05713-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-020-05713-w

Navigation