MicroRNA based Prediction of Posthepatectomy Liver Failure and Mortality Outperforms Established Markers of Preoperative Risk Assessment
摘要
Posthepatectomy liver failure (PHLF) continues to be the most significant factor-determining outcome after hepatic resection, accounting for nearly half of postoperative mortality. In this study, we evaluated whether a newly developed commercially available test measuring circulating microRNAs (miRs) could predict PHLF and compared it with other established liver function tests.
Patients and MethodsA total of 329 patients undergoing liver resection were included and postoperative outcome was assessed. Our previously described P-score, calculated on the basis of three circulating microRNAs (miR-122-5p, miR-192-5p, miR-151a-5p) using the hepatomiR® CE-IVD test, was evaluated and compared with other predictors of PHLF, namely indocyanine green (ICG)-clearance as well as the combined aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and albumin–bilirubin grade (ALBI) score.
ResultsCompared with both other liver function tests, P-scores were superior in predicting PHLF and PHLF grades B and C (PHLF B + C) (PHLF B + C: hepatomiR® AUC = 0.835, APRI + ALBI AUC = 0.807; retention rate at 15 min (R15) AUC = 0.690; plasma disappearance rate (PDR) AUC = 0.691). We also documented a superior positive (77%) and negative predictive value (> 90%) for PHLF, along with a close association with postoperative overall survival. A health-economic analysis demonstrated the cost-effectiveness of hepatomiR® in terms of life-years gained due to improved patient risk stratification.
ConclusionsThe hepatomiR® P-score outperforms established liver function tests utilized in daily clinical practice for predicting PHLF and identifies patients possibly better served with alternative treatments. A health-economic assessment allowed us to demonstrate that optimized preoperative risk-assessment leads to a cost-effective improvement in patient outcomes.