Immediate postoperative Fibrosis-4 predicts postoperative liver failure for patients with hepatocellular carcinoma undergoing curative surgery

Preoperative prognostic nutritional index predicts postoperative infectious complications and oncological outcomes after hepatectomy in intrahepatic cholangiocarcinoma

Background

In the surgical treatment of intrahepatic cholangiocarcinoma (ICC), postoperative complications may be predictive of long-term survival. This study aimed to identify an immune-nutritional index (INI) that can be used for preoperative prediction of complications.

Patients and methods

Multi-institutional data from 316 patients with ICC who had undergone surgical resection were retrospectively analysed, with a focus on various preoperative INIs.

Results

Severe complications (Clavien-Dindo grade III–V) were identified in 66 patients (20.8%), including Grade V complications in 7 patients (2.2%). Comparison of areas under the receiver operating characteristic curve (AUCs) among various INIs identified the prognostic nutritional index (PNI) as offering the highest predictive value for severe complications (AUC = 0.609, cut-off = 50, P = 0.008). Multivariate analysis revealed PNI <  50 (odds ratio [OR] = 2.22, P = 0.013), hilar lesion (OR = 2.46, P = 0.026), and long operation time (OR = 1.003, P = 0.029) as independent risk factors for severe complications. In comparing a high-PNI group (PNI ≥ 50, n = 142) and a low-PNI group (PNI <  50, n = 174), the low-PNI group showed higher rates of both major complications (27% vs. 13.4%; P = 0.003) and infectious complications (14.9% vs. 3.5%; P = 0.0021). Furthermore, median survival time and 1- and 5-year overall survival rates were 34.2 months and 77.4 and 33.8% in the low-PNI group, respectively, and 52.4 months and 89.3 and 47.5% in the high-PNI group, respectively (P = 0.0017).

Conclusion

Preoperative PNI appears useful as an INI correlating with postoperative severe complications and as a prognostic indicator for ICC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08424-0.

Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers

BACKGROUND

Post-hepatectomy liver failure (PHLF) increases morbidity and mortality after liver resection for patients with advanced liver fibrosis and cirrhosis. Preoperative liver stiffness using two-dimensional shear wave elastography (2D-SWE) is widely used to evaluate the degree of fibrosis. However, the 2D-SWE results were not accurate. A durometer measures hardness by quantifying the ability of a material to locally resist the intrusion of hard objects into its surface. However, the durometer score can only be obtained during surgery.

AIM

To measure correlations among 2D-SWE, palpation by surgeons, and durometer-measured objective liver hardness and to construct a liver hardness regression model.

METHODS

We enrolled 74 hepatectomy patients with liver hardness in a derivation cohort. Tactile-based liver hardness scores (0-100) were determined through palpation of the liver tissue by surgeons. Additionally, liver hardness was measured using a durometer. Correlation coefficients for durometer-measured hardness and preoperative parameters were calculated. Multiple linear regression models were constructed to select the best predictive durometer scale. Receiver operating characteristic (ROC) curves and univariate and multivariate analyses were used to calculate the best model’s prediction of PHLF and risk factors for PHLF, respectively. A separate validation cohort (n = 162) was used to evaluate the model.

RESULTS

The stiffness measured using 2D-SWE and palpation scale had good linear correlation with durometer-measured hardness (Pearson rank correlation coefficient 0.704 and 0.729, respectively, P < 0.001). The best model for the durometer scale (hardness scale model) was based on stiffness, hepatitis B virus surface antigen, and albumin level and had an R² value of 0.580. The area under the ROC for the durometer and hardness scale for PHLF prediction were 0.807 (P = 0.002) and 0.785 (P = 0.005), respectively. The optimal cutoff value of the durometer and hardness scale was 27.38 (sensitivity = 0.900, specificity = 0.660) and 27.87 (sensitivity = 0.700, specificity = 0.787), respectively. Patients with a hardness scale score of > 27.87 were at a significantly higher risk of PHLF with hazard ratios of 7.835 (P = 0.015). The model’s PHLF predictive ability was confirmed in the validation cohort.

CONCLUSION

Liver stiffness assessed by 2D-SWE and palpation correlated well with durometer hardness values. The multiple linear regression model predicted durometer hardness values and PHLF.

The preoperative fibrosis score 4 predicts posthepatectomy liver failure in patients with hepatocellular carcinoma

INTRODUCTION AND OBJECTIVES

The fibrosis score 4 (FIB-4) has been identified as a biochemical surrogate for histological fibrogenesis and fibrosis in cirrhosis. This study investigates the impact of preoperative FIB-4 on postoperative liver failure of patients with hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

Data from 205 patients who underwent curative resection for HCC were retrospectively analyzed. The receiver operating characteristic (ROC) curve analysis was performed to determine the cutoff value of the FIB-4. Univariate analysis and multivariate analysis were performed to identify risk factors for postoperative liver failure. The clinical outcomes were compared between patients with high FIB-4 and low FIB-4.

RESULTS

The optimal cutoff value of the FIB-4 was set at 5.92 for postoperative liver failure according to ROC curve. By univariate and multivariate analysis, the number of resected segments, FIB-4, and model for end-stage liver disease score were identified as independent risk factors for postoperative liver failure. Patients with preoperative FIB-4>5.92 had poorer liver function and higher occurrence of postoperative liver failure.

CONCLUSIONS

Preoperative FIB-4 was associated with postoperative liver failure. Patients with preoperative FIB-4>5.92 carry a high risk of postoperative liver failure.

Early postoperative controlling nutritional status (CONUT) score is associated with complication III-V after hepatectomy in hepatocellular carcinoma: A retrospective cohort study of 1,334 patients

Postoperative complication III-V is closely related with hepatectomy-related mortality for hepatocellular carcinoma (HCC) patients. The aim of the study was to investigate the relationship between CONUTS and postoperative complication III-V. 1334 HCC patients who underwent hepatectomy were divided into two groups: high CONUTS group (early postoperative CONUTS ≥ 8, n = 659) and low CONUTS group (early postoperative CONUTS < 8, n = 675). The characteristics and clinical outcomes were compared and analyzed. Risk factors for postoperative complication III-V were evaluated by univariate and multivariate analysis. early postoperative CONUTS showed a good prediction ability for postoperative complication III-V (AUROC = 0.653, P < 0.001), with the cut-off value of 8. The high CONUTS group had higher incidence of postoperative pulmonary complications (12.0% vs 7.9%, P = 0.011), bile leakage (2.6% vs 0.9%, P = 0.018), intra-abdominal hemorrhage (4.9% vs 1.6%, P = 0.001), postoperative liver failure Grade C (3.6% vs 1.0%, P = 0.002), complication III-V (15.6% vs 6.2%, P < 0.001), length of ICU stay > 48 hours (9.4% vs 4.1%, P < 0.001) and mortality in 90 days (2.6% vs 0.4%, P = 0.001), longer period of postoperative hospitalization (10 (8–13) vs 9 (7–11) days, P < 0.001). Multivariable analysis revealed that early postoperative CONUTS ≥ 8 (OR = 2.054, 95%CI = 1.371–3.078, P < 0.001) was independently associated with postoperative complication III-V. Early postoperative CONUTS ≥ 8 was identified as a novel risk factor for postoperative complication III-V, and should be further evaluated as a predictive marker for who are to undergo liver resection.

Geriatric nutritional risk index predicts prognosis after hepatectomy in elderly patients with hepatitis B virus-related hepatocellular carcinoma

Geriatric nutritional risk index (GNRI) is a novel and useful screening tool for evaluating nutritional status in elderly in-patients. We aimed to investigate whether the preoperative GNRI could be a predictive factor for outcomes in patients over 65 years of age with a diagnosis of hepatocellular carcinoma (HCC). We retrospectively enrolled 261 consecutive HCC patients after hepatectomy and classified them into four risk groups based on the GNRI values: high risk (GNRI, <82), moderate risk (GNRI, 82–92), low risk (GNRI, 92–98), and normal (GNRI, >98). We found that the lower GNRI value was significantly associated with severe postoperative complications (P < 0.001) and liver failure (P < 0.001). By multivariate logistic regression analysis, high risk- and moderate risk GNRI groups were identified as independent risk factors for postoperative serve complications and liver failure. Multivariate Cox regression analysis revealed preoperative GNRI (P < 0.001) adversely affected overall survival. In conclusion, preoperative GNRI could predict severe postoperative complications included liver failure, and the lower GNRI value was associated with worse overall survival after hepatectomy in elderly HCC patients.