Abstract

BackgroundTo develop a nomogram for predicting the International Study Group of Liver Surgery (ISGLS) grade B/C posthepatectomy liver failure (PHLF) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients.MethodsPatients initially treated with hepatectomy were included. Univariate regression analysis and stochastic forest algorithm were applied to extract the core indicators and reduce redundancy bias. The nomogram was then constructed by using multivariate logistic regression, and validated in internal and external cohorts, and a prospective clinical application.ResultsThere were 900, 300 and 387 participants in training, internal and external validation cohorts, with the morbidity of grade B/C PHLF were 13.5, 11.0 and 20.2%, respectively. The nomogram was generated by integrating preoperative total bilirubin, platelet count, prealbumin, aspartate aminotransferase, prothrombin time and standard future liver remnant volume, then achieved good prediction performance in training (AUC = 0.868, 95%CI = 0.836–0.900), internal validation (AUC = 0.868, 95%CI = 0.811–0.926) and external validation cohorts (AUC = 0.820, 95%CI = 0.756–0.861), with well-fitted calibration curves. Negative predictive values were significantly higher than positive predictive values in training cohort (97.6% vs. 33.0%), internal validation cohort (97.4% vs. 25.9%) and external validation cohort (94.3% vs. 41.1%), respectively. Patients who had a nomogram score < 169 or ≧169 were considered to have low or high risk of grade B/C PHLF. Prospective application of the nomogram accurately predicted grade B/C PHLF in clinical practise.ConclusionsThe nomogram has a good performance in predicting ISGLS grade B/C PHLF in HBV-related HCC patients and determining appropriate candidates for hepatectomy.

Highlights

  • To develop a nomogram for predicting the International Study Group of Liver Surgery (ISGLS) grade B/C posthepatectomy liver failure (PHLF) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients

  • The nomogram was generated by integrating preoperative total bilirubin, platelet count, prealbumin, aspartate aminotransferase, prothrombin time and standard future liver remnant volume, achieved good prediction performance in training (AUC = 0.868, 95%CI = 0.836– 0.900), internal validation (AUC = 0.868, 95%CI = 0.811–0.926) and external validation cohorts (AUC = 0.820, 95%CI = 0.756–0.861), with well-fitted calibration curves

  • The nomogram has a good performance in predicting ISGLS grade B/C PHLF in HBV-related HCC patients and determining appropriate candidates for hepatectomy

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Summary

Introduction

To develop a nomogram for predicting the International Study Group of Liver Surgery (ISGLS) grade B/C posthepatectomy liver failure (PHLF) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients. Advances surgical techniques and management have greatly improved the safety and postoperative outcomes over the past few decades [4]; the International Study Group of Liver Surgery (ISGLS) grade B/ C posthepatectomy liver failure (PHLF) remains a serious complication, which is a predominant cause of postoperative mortality [5, 6]. Independent risk factors of PHLF can be grouped into three categories [5, 8]: 1) Patient-related factors including age, sex, comorbidities such as malnutrition, diabetes mellitus, cardiopulmonary, renal or cerebral dysfunction; 2) liver disease-related factors including hepatitis B/C, steatosis, cholangitis, alcoholic liver disease and cirrhosis; 3) surgery-related factors including future liver remnant volume (FLRV), excessive intraoperative blood loss, prolonged operation time, and ischemia-reperfusion injury resulting from Pringle’s manoeuver manipulation. As a major cause to promote decompensate liver cirrhosis and dysfunction, chronic hepatitis B is highly prevalent and associated with 70–90% of HCC cases in the Asia-Pacific region [9]

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