Risk Of Posthepatectomy Liver Failure Research Articles

Porto-sinusoidal vascular disorder in surgical candidates for liver metastases: Prevalence, noninvasive diagnosis, and burden on surgical outcomes

Chemotherapy can cause vascular and metabolic liver injury in patients with liver metastases, but scarce data are available. We aimed to (i) describe the prevalence of porto-sinusoidal vascular disorder (PSVD) among patients undergoing resection for liver metastases; and (ii) assess whether liver (LSM) and spleen stiffness measurements could diagnose PSVD and predict postoperative complications. This is a prospective single-center study enrolling consecutive patients undergoing hepatic resection for metastases at a tertiary center. For each patient, we evaluated previous exposure to chemotherapy, comorbidities, elastography, type of surgery, histological features at the resection specimen, morbidity (post-hepatectomy liver failure and major complications according to Clavien-Dindo), and 90-day survival. Sixty-eight patients were included, of whom 60 (88%) had received chemotherapy. Twenty-nine (44%) patients had PSVD. Spleen stiffness measurements <21 kPa (negative predictive value 87%) and >40 kPa (positive predictive value 100%) could accurately diagnose PSVD. PSVD significantly increased the risk of post-hepatectomy liver failure (22% vs. 45%) and major complications (11% vs. 31%). Preoperative LSM was associated with postoperative morbidity. The cutoff LSMs <4.5 and >8 kPa predicted the risk of clinically significant post-hepatectomy liver failure (0%, 11%, and 33% in LSM <4.5, 4.5–8, and >8 kPa, respectively) and major complications (0%, 25%, 44% in LSM <4.5, 4.5–8, and >8 kPa, respectively). PSVD is very common among patients undergoing liver surgery for metastases, and it is associated with increased morbidity. LSM and spleen stiffness measurements can correctly identify patients with PSVD and those at risk of clinically relevant postoperative complications.

Comprehensive Review of Future Liver Remnant (FLR) Assessment and Hypertrophy Techniques Before Major Hepatectomy: How to Assess and Manage the FLR.

The regenerative capacities of the liver and improvements in surgical techniques have expanded the possibilities of resectability. Liver resection is often the only curative treatment for primary and secondary malignancies, despite the risk of post-hepatectomy liver failure (PHLF). This serious complication (with a 50% mortality rate) can be avoided by better assessment of liver volume and function of the future liver remnant (FLR). The aim of this review was to understand and assess clinical, biological, and imaging predictors of PHLF risk, as well as the various hypertrophy techniques, to achieve an adequate FLR before hepatectomy. We reviewed the state of the art in liver regeneration and FLR hypertrophy techniques. The use of new biological scores (such as the aspartate aminotransferase/platelet ratio index + albumin-bilirubin [APRI+ALBI] score), concurrent utilization of 99mTc-mebrofenin scintigraphy (HBS), or dynamic hepatocyte contrast-enhanced MRI (DHCE-MRI) for liver volumetry helps predict the risk of PHLF. Besides portal vein embolization, there are other FLR optimization techniques that have their indications in case of risk of failure (e.g., associating liver partition and portal vein ligation for staged hepatectomy, liver venous deprivation) or in specific situations (transarterial radioembolization). There is a need to standardize volumetry and function measurement techniques, as well as FLR hypertrophy techniques, to limit the risk of PHLF.

Impact of the future liver remnant volume before major hepatectomy

IntroductionFollowing major liver resection, posthepatectomy liver failure (PHLF) is associated with a high mortality rate. As there is no therapy for PHLF available, avoidance remains the main goal. A sufficient future liver remnant (FLR) is one of the most important factors to reduce the risk for PHLF; however, it is not known which patients benefit of volumetric assessment prior to major surgery. MethodsA retrospective, bi-institutional cohort study was conducted including all patients who underwent major hepatectomy (extended right hepatectomy, right hepatectomy, extended left hepatectomy and left hepatectomy) between 2010 and 2023. ResultsA total of 1511 major hepatectomies were included, with 29.4 % of patients undergoing FLR volume assessment preoperatively. Overall, PHLF B/C occurred in 9.8 % of cases. Multivariate analysis identified diabetes mellitus, extended right hepatectomy, perihilar cholangiocarcinoma (pCCA), gallbladder cancer (GBC) and cirrhosis as significant risk factors for PHLF B/C. High-risk patients (with one or more risk factors) had a 15 % overall incidence of PHLF, increasing to 32 % with a FLR <30 %, and 13 % with an FLR of 30–40 %. Low-risk patients with a FLR <30 % had a PHLF rate of 21 %, which decreased to 8 % and 5 % for FLRs of 30–40 % and >40 %, respectively. For right hepatectomy, the PHLF rate was 23 % in low-risk and 38 % in high-risk patients with FLR <30 %. ConclusionPatients scheduled for right hepatectomy and extended right hepatectomy should undergo volumetric assessment of the FLR. Volumetry should always be considered before major hepatectomy in patients with risk factors such as diabetes, cirrhosis, GBC and pCCA. In high-risk patients, a FLR cut-off of 30 % may be insufficient to prevent PHLF, and additional liver function assessment should be considered.

Preoperative Ultrasound Radomics to Predict Posthepatectomy Liver Failure in Patients With Hepatocellular Carcinoma.

Posthepatectomy liver failure (PHLF) is a major cause of postoperative mortality in hepatocellular carcinoma (HCC) patients. The study aimed to develop a method based on the two-dimensional shear wave elastography and clinical data to evaluate the risk of PHLF in HCC patients with chronic hepatitis B. This multicenter study proposed a deep learning model (PHLF-Net) incorporating dual-modal ultrasound features and clinical indicators to predict the PHLF risk. The datasets were divided into a training cohort, an internal validation cohort, an internal independent testing cohort, and three external independent testing cohorts. Based on ResNet50 pretrained on ImageNet, PHLF-Net used a progressive training strategy with images of varying granularity and incorporated conventional B-mode and elastography images and clinical indicators related to liver reserve function. In total, 532 HCC patients who underwent hepatectomy at five hospitals were enrolled. PHLF occurred in 147 patients (27.6%, 147/532). The PHLF-Net combining dual-modal ultrasound and clinical indicators demonstrated high effectiveness for predicting PHLF, with AUCs of 0.957 and 0.923 in the internal validation and testing sets, and AUCs of 0.950, 0.860, and 1.000 in the other three independent external testing sets. The performance of PHLF-Net outperformed models of single- and dual-modal US. Preoperative ultrasound imaging combining clinical indicators can effectively predict the PHLF probability in patients with HCC. In the internal and external validation sets, PHLF-Net demonstrated its usefulness in predicting PHLF.

Interaction between the albumin-bilirubin score and nutritional risk index in the prediction of post-hepatectomy liver failure.

Post-hepatectomy liver failure (PHLF) is the most common postoperative complication and the leading cause of death after hepatectomy. The albumin-bilirubin (ALBI) score and nutritional risk index (NRI) have been shown to assess end-stage liver disease and predict PHLF and patient survival. We hypothesized that the ALBI score and NRI interact in the prediction of PHLF. To analyze the interaction between the ALBI score and NRI in PHLF in patients with hepatocellular carcinoma. This retrospective study included 186 patients who underwent hepatectomy for hepatocellular carcinoma at the Affiliated Hospital of Youjiang Medical University for Nationalities between January 2020 and July 2023. Data on patient characteristics and laboratory indices were collected from their medical records. Univariate and multivariate logistic regression were performed to determine the interaction effect between the ALBI score and NRI in PHLF. Of the 186 patients included in the study, PHLF occurred in 44 (23.66%). After adjusting for confounders, multivariate logistic regression identified ALBI grade 2/3 [odds ratio (OR) = 73.713, 95% confidence interval (CI): 9.175-592.199] and NRI > 97.5 (OR = 58.990, 95%CI: 7.337-474.297) as risk factors for PHLF. No multiplicative interaction was observed between the ALBI score and NRI (OR = 0.357, 95%CI: 0.022-5.889). However, the risk of PHLF in patients with ALBI grade 2/3 and NRI < 97.5 was 101 times greater than that in patients with ALBI grade 1 and NRI ≥ 97.5 (95%CI: 56.445-523.839), indicating a significant additive interaction between the ALBI score and NRI in PHLF. Both the ALBI score and NRI were risk factors for PHLF, and there was an additive interaction between the ALBI score and NRI in PHLF.

Association of preoperative antiviral treatment with incidences of post-hepatectomy liver failure in hepatitis B virus-related hepatocellular carcinoma.

Post-hepatectomy liver failure (PHLF) is a common consequence of radical partial hepatectomy in hepatocellular carcinoma (HCC). To investigate the relationship between preoperative antiviral therapy and PHLF, as well as assess the potential efficacy of hepatitis B virus (HBV) DNA level in predicting PHLF. A retrospective study was performed involving 1301 HCC patients with HBV who underwent radical hepatectomy. Receiver operating characteristic (ROC) analysis was used to assess the capacity of HBV DNA to predict PHLF and establish the optimal cutoff value for subsequent analyses. Logistic regression analyses were performed to assess the independent risk factors of PHLF. The increase in the area under the ROC curve, categorical net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to quantify the efficacy of HBV DNA level for predicting PHLF. The P < 0.05 was considered statistically significant. Logistic regression analyses showed that preoperative antiviral therapy was independently associated with a reduced risk of PHLF (P < 0.05). HBV DNA level with an optimal cutoff value of 269 IU/mL (P < 0.001) was an independent risk factor of PHLF. All the reference models by adding the variable of HBV DNA level had an improvement in area under the curve, categorical NRI, and IDI, particularly for the fibrosis-4 model, with values of 0.729 (95%CI: 0.705-0.754), 1.382 (95%CI: 1.341-1.423), and 0.112 (95%CI: 0.110-0.114), respectively. All the above findings were statistically significant. In summary, preoperative antiviral treatment can reduce the incidence of PHLF, whereas an increased preoperative HBV DNA level has a correlative relationship with an increased susceptibility to PHLF.

A novel surgical scheme for hepatectomy in hepatocellular carcinoma patients with clinically significant portal hypertension

ObjectiveClinically significant portal hypertension (CSPH) seriously affects the feasibility and safety of surgical treatment for hepatocellular carcinoma (HCC) patients. The aim of this study was to establish a new surgical scheme defining risk classification of post-hepatectomy liver failure (PHLF) to facilitate the surgical decision-making and identify suitable candidates for individual hepatectomy among HCC patients with CSPH.BackgroundsHepatectomy is the preferred treatment for HCC. Surgeons must maintain a balance between the expected oncological outcomes of HCC removal and short-term risks of severe PHLF and morbidity. CSPH aggravates liver decompensation and increases the risk of severe PHLF thus complicating hepatectomy for HCC.MethodsMultivariate logistic regression and stochastic forest algorithm were performed, then the independent risk factors of severe PHLF were included in a nomogram to determine the risk of severe PHLF. Further, a conditional inference tree (CTREE) through recursive partitioning analysis validated supplement the misdiagnostic threshold of the nomogram.ResultsThis study included 924 patients, of whom 137 patients (14.8%) suffered from mild-CSPH and 66 patients suffered from (7.1%) with severe-CSPH confirmed preoperatively. Our data showed that preoperative prolonged prothrombin time, total bilirubin, indocyanine green retention rate at 15 min, CSPH grade, and standard future liver remnant volume were independent predictors of severe PHLF. By incorporating these factors, the nomogram achieved good prediction performance in assessing severe PHLF risk, and its concordance statistic was 0.891, 0.850 and 0.872 in the training cohort, internal validation cohort and external validation cohort, respectively, and good calibration curves were obtained. Moreover, the calculations of total points of diagnostic errors with 95% CI were concentrated in 110.5 (range 76.9-178.5). It showed a low risk of severe PHLF (2.3%), indicating hepatectomy is feasible when the points fall below 76.9, while the risk of severe PHLF is extremely high (93.8%) and hepatectomy should be rigorously restricted at scores over 178.5. Patients with points within the misdiagnosis threshold were further examined using CTREE according to a hierarchic order of factors represented by the presence of CSPH grade, ICG-R15, and sFLR.ConclusionThis new surgical scheme established in our study is practical to stratify risk classification in assessing severe PHLF, thereby facilitating surgical decision-making and identifying suitable candidates for individual hepatectomy.

Online interpretable dynamic prediction models for clinically significant posthepatectomy liver failure based on machine learning algorithms: A retrospective cohort study.

Posthepatectomy liver failure (PHLF) is the leading cause of mortality in patients undergoing hepatectomy. However, practical models for accurately predicting the risk of PHLF are lacking. This study aimed to develop precise prediction models for clinically significant PHLF. A total of 226 patients undergoing hepatectomy at a single center were recruited. The study outcome was clinically significant PHLF. Five pre- and postoperative machine learning (ML) models were developed and compared with four clinical scores, namely, the MELD, FIB-4, ALBI, and APRI scores. The robustness of the developed ML models was internally validated using 5-fold cross-validation by calculating the average of the evaluation metrics and was externally validated on an independent temporal dataset, including the area under the curve (AUC) and the area under the precision‒recall curve (AUPRC). SHapley Additive exPlanations analysis was performed to interpret the best performance model. Clinically significant PHLF was observed in 23 of 226 patients (10.2%). The variables in the preoperative model included creatinine, total bilirubin, and Child‒Pugh grade. In addition to the above factors, the extent of resection was also a key variable for the postoperative model. The pre- and postoperative artificial neural network (ANN) models exhibited excellent performance, with mean AUCs of 0.766 and 0.851, respectively, and mean AUPRC values of 0.441 and 0.645, whereas the MELD, FIB-4, ALBI, and APRI scores reached AUCs of 0.714, 0.498, 0.536 and 0.551, respectively, and AUPRC values of 0.204, 0.111, 0.128 and 0.163, respectively. In addition, the AUCs of the pre- and postoperative ANN models were 0.720 and 0.731, respectively, and the AUPRC values were 0.380 and 0.408, respectively, on the temporal dataset. Our online interpretable dynamic ML models outperformed common clinical scores and could function as a clinical decision support tool to identify patients at high risk of PHLF pre- and postoperatively.

Heparin is an effective treatment for preventing liver failure after hepatectomy.

Posthepatectomy liver failure (PHLF) is one of the most important causes of death following liver resection. Heparin, an established anticoagulant, can protect liver function through a number of mechanisms, and thus, prevent liver failure. To look at the safety and efficacy of heparin in preventing hepatic dysfunction after hepatectomy. The data was extracted from Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) v1. 4 pinpointed patients who had undergone hepatectomy for liver cancer, subdividing them into two cohorts: Those who were injected with heparin and those who were not. The statistical evaluations used were unpaired t-tests, Mann-Whitney U tests, chi-square tests, and Fisher's exact tests to assess the effect of heparin administration on PHLF, duration of intensive care unit (ICU) stay, need for mechanical ventilation, use of continuous renal replacement therapy (CRRT), incidence of hypoxemia, development of acute kidney injury, and ICU mortality. Logistic regression was utilized to analyze the factors related to PHLF, with propensity score matching (PSM) aiming to balance the preoperative disparities between the two groups. In this study, 1388 patients who underwent liver cancer hepatectomy were analyzed. PSM yielded 213 matched pairs from the heparin-treated and control groups. Initial univariate analyses indicated that heparin potentially reduces the risk of PHLF in both matched and unmatched samples. Further analysis in the matched cohorts confirmed a significant association, with heparin reducing the risk of PHLF (odds ratio: 0.518; 95% confidence interval: 0.295-0.910; P = 0.022). Additionally, heparin treatment correlated with improved short-term postoperative outcomes such as reduced ICU stay durations, diminished requirements for respiratory support and CRRT, and lower incidences of hypoxemia and ICU mortality. Liver failure is an important hazard following hepatic surgery. During ICU care heparin administration has been proved to decrease the occurrence of hepatectomy induced liver failure. This indicates that heparin may provide a hopeful option for controlling PHLF.

Significance of Prediction Models for Post-Hepatectomy Liver Failure Based on Type IV Collagen 7s Domain in Patients with Hepatocellular Carcinoma.

Background: Previous studies have attempted to establish predictive models for post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) undergoing liver resection. However, a versatile and useful predictive model for PHLF remains to be developed. Therefore, we aimed to develop predictive models for PHLF based on type IV collagen 7s domain (7s collagen) in patients with HCC. Methods: We retrospectively collected data from 972 patients with HCC who had undergone initial curative liver resection between February 2000 and December 2020 at our hospital. Multivariate logistic regression analysis using a restricted cubic spline was performed to evaluate the effect of 7s collagen on the incidence of PHLF. A nomogram was developed based on 7s collagen. Results: PHLF grades B or C were identified in 104 patients (11%): 98 (10%) and 6 (1%) PHLF grades B and C, respectively. Multivariate logistic regression analysis revealed that the preoperative serum level of 7s collagen was significantly associated with a proportional increase in the risk of PHLF, which was confirmed in both laparoscopic and open liver resections. A nomogram was developed based on 7s collagen, with a concordance index of 0.768. The inclusion of 7s collagen values in the predictive model increased the predictive accuracy. Conclusion: The findings highlight the efficacy of the serum level of 7s collagen as a predictive factor for PHLF. Our novel nomogram using 7s collagen may be useful for predicting the risk of PHLF.

A Multicenter Exploration of the APRI/ALBI Score in Associating Liver Partition and Portal Vein Ligation for Staged hepatectomy’ (ALPPS)

Abstract Background Perioperative morbidity and mortality remain a point of concern for the Associating Liver Partition and Portal Vein Ligation for Staged hepatectomy (ALPPS) procedure. Post-hepatectomy liver failure (PHLF) after the second step poses the most significant risk factor for futile outcome. Recovery of liver function after the first step of ALPPS is critically important to allow for sufficient liver function after this surgery. The APRI+ALBI score has been proposed as an easily assessable score to monitor liver function and its dynamic recovery. Aims We explored if the APRI+ALBI score was able to assess liver function recovery after the first step of ALPPS and allow for optimal timing of the 2nd step. Methods Based on the ALPPS registry, patients from 2012 to 2020 with available APRI+ALBI score were included. Postoperative outcomes (PHLF A – C, PHLF B + C, 90-day mortality and severe morbidity) were defined as per standard definitions. The APRI/ALBI score was monitored perioperatively. Results Overall, 464 patients from 16 international participating centers in the ALPPS registry were included. Clinically relevant PHLF (B + C) was observed in 7.5 % and of these 63 % of patients ultimately died due to liver failure. The APRI+ALBI score immediately increased after each surgical intervention and continuously decrease thereafter. Failure of the APRI+ALBI score to decrease until the 2nd step of ALPPS predicted PHLF B+C (p = 0.001; AUC 0.78). Particularly patients with high APRI+ALBI scores and short interstage intervals were at risk to develop PHLF B+C. Conclusion The APRI+ALBI score objectifies liver function recovery after the 1st step of ALPPS and failure to sufficiently decreased is associated with a higher risk for PHLF B+C. This might allow for optimized planning of the 2nd step of ALPPS to allow for sufficient liver function recovery to minimize the risk for PHLF B+C and associated futile outcome.

ALBI score combined with FIB-4 index to predict post-hepatectomy liver failure in patients with hepatocellular carcinoma

Post-hepatectomy liver failure (PHLF) is a potentially life-threatening complication following liver resection. Hepatocellular carcinoma (HCC) often occurs in patients with chronic liver disease, which increases the risk of PHLF. This study aimed to investigate the ability of the combination of liver function and fibrosis markers (ALBI score and FIB-4 index) to predict PHLF in patients with HCC. Patients who underwent hepatectomy for HCC between August 2012 and September 2022 were considered for inclusion. Multivariable logistic regression analysis was used to identify factors associated with PHLF, and ALBI score and FIB-4 index were combined based on their regression coefficients. The performance of the combined ALBI-FIB4 score in predicting PHLF and postoperative mortality was compared with Child–Pugh score, MELD score, ALBI score, and FIB-4 index. A total of 215 patients were enrolled in this study. PHLF occurred in 35 patients (16.3%). The incidence of severe PHLF (grade B and grade C PHLF) was 9.3%. Postoperative 90‐d mortality was 2.8%. ALBI score, FIB-4 index, prothrombin time, and extent of liver resection were identified as independent factors for predicting PHLF. The AUC of the ALBI-FIB4 score in predicting PHLF was 0.783(95%CI: 0.694–0.872), higher than other models. The ALBI-FIB4 score could divide patients into two risk groups based on a cut-off value of − 1.82. High-risk patients had a high incidence of PHLF of 39.1%, while PHLF just occurred in 6.6% of low-risk patients. Similarly, the AUCs of the ALBI-FIB4 score in predicting severe PHLF and postoperative 90-d mortality were also higher than other models. Preoperative ALBI-FIB4 score showed good performance in predicting PHLF and postoperative mortality in patients undergoing hepatectomy for HCC, superior to the currently commonly used liver function and fibrosis scoring systems.

Clinician overconfidence in visual estimation of the posthepatectomy liver remnant volume: A proximal source of liver failure after major hepatic resection?

BackgroundPost-hepatectomy liver failure is a source of morbidity and mortality after major hepatectomy and is related to the volume of the future liver remnant. The accuracy of a clinician’s ability to visually estimate the future liver remnant without formal computed tomography liver volumetry is unknown. MethodsTwenty physicians in diagnostic radiology, interventional radiology, and hepatopancreatobiliary surgery reviewed 20 computed tomography scans of patients without underlying liver pathology who were not scheduled for liver resection. We evaluated clinician accuracy to estimate the future liver remnant for 3 hypothetical major hepatic resections: left hepatectomy, right hepatectomy, and right trisectionectomy. The percent-difference between the mean and actual computed tomography liver volumetry (mean percent difference) was tested along with specialty differences using mixed-effects regression analysis. ResultsThe actual future liver remnant (computed tomography liver volumetry) remaining after a hypothetical left hepatectomy ranged from 59% to 75% (physician estimated range: 50%–85%), 23% to 40% right hepatectomy (15%–50%), and 13% to 29% right trisectionectomy (8%–39%). For right hepatectomy, the mean future liver remnant was overestimated by 95% of clinicians with a mean percent difference of 22% (6%–45%; P < .001). For right trisectionectomy, 90% overestimated the future liver remnant by a mean percent difference of 25% (6%–50%; P < .001). Hepatopancreatobiliary surgeons overestimated the future liver remnant for proposed right hepatectomy and right trisectionectomy by a mean percent difference of 25% and 34%, respectively. Based on years of experience, providers with <10 years of experience had a greater mean percent difference than providers with 10+ years of experience for hypothetical major hepatic resections, but was only significantly higher for left hepatectomy (9% vs 6%, P = .002). ConclusionA clinician’s ability to visually estimate the future liver remnant volume is inaccurate when compared to computed tomography liver volumetry. Clinicians tend to overestimate the future liver remnant volume, especially in patients with a small future liver remnant where the risk of posthepatectomy liver failure is greatest.

The impact of post-hepatectomy liver failure on long-term survival after liver resection for perihilar cholangiocarcinoma

BackgroundAlthough post-hepatectomy liver failure (PHLF) can accurately predict short-term mortality of liver resection for perihilar cholangiocarcinoma (pCCA), its significance in predicting long-term overall survival (OS) is still uncertain. MethodsRetrospective analysis was performed on patients with pCCA who underwent liver resection between October 2013 and December 2018. The patients were divided into 3 groups; No PHF, PHLF (all grade) and grade B/C PHLF according to The International Study Group of Liver Surgery (ISGLS) criteria. ResultsA total of 177 patients were enrolled, 65 (36.7%) had PHLF; 25 (14.1%) had grade A, and 40 (22.6%) had grade B/C. Prior to surgery, patients with PHLF showed significantly greater bilirubin levels and CA 19-9 level than those without (11.5 vs 6.7 mg/dL, p = 0.002 and 232.4 vs 85.9 U/mL, p = 0.005, respectively). Additionally, pre-operative future liver remnant volume in PHLF group was lower than no PHLF group significantly (39.6% vs 43.5%, p = 0.006). Major complication and 90-day mortality were higher in PHLF group than no PHLF group (69.2% vs 20.5%, p < 0.001 and 29.2% vs 3.6%, p < 0.001, respectively). The OS in both grade A PHLF and grade B/C PHLF was significantly worse compared to no PHLF, with median survival times of 8.4, 3.3, and 19.2 months, respectively (p < 0.001 and p < 0.001, respectively). Multivariable analysis revealed that PHLF was independently prognostic factor for long-term survival. ConclusionTo achieve negative resection margin, the surgical resection in pCCA was aggressive, however this increased the risk of PHLF, which also affects the OS. Consequently, it is necessary for establishing a balance between aggressive surgery and PHLF.

Predictive Value of Preoperative ICG-R15 Testing in Post-hepatectomy Liver Failure Following Major Liver Resection: Indian Experience.

Surgical resection stands as the preeminent therapeutic approach for both primary hepatocellular carcinoma and metastatic liver malignancies. Its efficacy is contingent upon the attainment of a comprehensive excision while ensuring a sufficient future liver remnant (FLR). However, post-hepatectomy liver failure (PHLF) remains a significant challenge, particularly in patients with preexisting liver disease. The present study aims to investigate the predictive value of the preoperative indocyanine green retention test at 15min (ICG-R15) in identifying patients at risk of PHLF following major liver resection. This retrospective review focused on patients who underwent the ICG-R15 test before major liver resection between August 2021 and January 2023. All patients underwent standard preoperative evaluation and staging. Patients with primary or metastatic liver cancer planned for major resection and undergoing ICG-R15 were included in the study. Patients with elevated serum bilirubin (> 3mg/dl) and those not undergoing liver resection or minor liver resection (< 3 segments) were excluded from the study. PHLF was defined by the International Study Group of Liver Surgery (ISGLS) criteria. Follow-up was performed to identify 90-day morbidity. Using univariate and multivariate logistic regression analyses, we confirmed independent risk parameters that predicted postoperative major complications and severe PHLF. The study included 72 patients who underwent preoperative ICG-R15 testing prior to major liver resection. PHLF occurred in 28 patients (38.9%), with 24 patients (33.3%) classified as severity score B and 3 patients (4.16%) had severity score C. Univariate analysis revealed future liver remnant (FLR), ICG-R15, and blood transfusion as predictors of PHLF. Multivariate analysis confirmed FLR (p = 0.019) and ICG-R15 (p = 0.032) as significant predictors. Receiver operating characteristic curve analysis yielded an area under the curve of 0.642 for ICG-R15 in predicting PHLF. An optimal cut-point of 7.5 was determined. Our study highlights the importance of preoperative risk assessment of liver function evaluation using the ICG-R15 test, to predict the risk of PHLF following liver resection. Implementing appropriate interventions, especially in patients with borderline FLR, can improve surgical outcomes and enhance patient safety. Further research and prospective studies are essential to refine risk prediction models and improve rates of PHLF after liver resections.

Prevention of Post-Hepatectomy Liver Failure in Cirrhotic Patients Undergoing Minimally Invasive Liver Surgery for HCC: Has the Round Ligament to Be Preserved?

Post-hepatectomy liver failure (PHLF) represents a major cause of morbidity and mortality after liver resection. The factors related to PHLF are represented not only by the volume and function of the future liver remnant but also by the severity of portal hypertension. The aim of this study was to assess whether the preservation of the round ligament (RL) may mitigate portal hypertension, thus decreasing the risk of PHLF and ascites in cirrhotic patients while undergoing minimally invasive liver surgery (MILS). All the cirrhotic patients who underwent MILS for HCC from 2016 to 2021 in two international tertiary referral centers were retrospectively analyzed, comparing cases with the RL preserved vs. those with the RL divided. Only patients with cirrhosis ≥ Child A6, portal hypertension, and ICG-R15 > 10% were included. Main postoperative outcomes were compared, and the risk factors for postoperative ascites (severe PHLF, grade B/C) were investigated through a logistic regression. After the application of the selection criteria, a total of 130 MILS patients were identified, with 86 patients with the RL preserved and 44 with the RL divided. The RL-preserved group showed lower incidences of severe PHLF (7.0% vs. 20.5%, p = 0.023) and ascites (5.8% vs. 18.2%, p = 0.026) in comparison with the RL-divided group. After uni/multivariate analysis, the risk factors related to postoperative ascites were RL division and platelets < 92 × 103/µL, calculated with ROC analysis. The preservation of the round ligament during MILS may mitigate portal hypertension, preventing PHLF and ascites in cirrhotic patients with borderline liver function.

Balance of Gata3 and Ramp2 in hepatocytes regulates hepatic vascular reconstitution in postoperative liver regeneration

Post-hepatectomy liver failure (PHLF) leads to poor prognosis in patients undergoing hepatectomy, with hepatic vascular reconstitution playing a critical role. However, the regulators of hepatic vascular reconstitution remain unclear. In this study, we aimed to investigate the regulatory mechanisms of hepatic vascular reconstitution and identify biomarkers predicting PHLF in patients undergoing hepatectomy. Candidate genes that were associated with hepatic vascular reconstitution were screened using adeno-associated virus vectors in Alb-Cre-CRISPR/Cas9 mice subjected to partial hepatectomy. The biological activities of candidate genes were estimated using endothelial precursor transfusion and associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) models. The level of candidates was detected in biopsies from patients undergoing ALPPS. Risk factors for PHLF were also screened using retrospective data. Downregulation of Gata3 and upregulation of Ramp2 in hepatocytes promoted the proliferation of liver sinusoidal endothelial cells and hepatic revascularization. Pigment epithelium-derived factor (PEDF) and vascular endothelial growth factor A (VEGFA) played opposite roles in regulating the migration of endothelial precursors from bone marrow and the formation of new sinusoids after hepatectomy. Gata3 restricted endothelial cell function in patient-derived hepatic organoids, which was abrogated by a Gata3 inhibitor. Moreover, overexpression of Gata3 led to higher mortality in ALPPS mice, which was improved by a PEDF-neutralizing antibody. The expression of Gata3/RAMP and PEDF/VEGFA tended to have a negative correlation in patients undergoing ALPPS. A nomogram incorporating multiple factors, such as serum PEDF/VEGF index, was constructed and could efficiently predict the risk of PHLF. The balance of Gata3 and Ramp2 in hepatocytes regulates the proliferation of liver sinusoidal endothelial cells and hepatic revascularization via changes in the expression of PEDF and VEGFA, revealing potential targets for the prevention and treatment of PHLF. In this study, we show that the balance of Gata3 and Ramp2 in hepatocytes regulates hepatic vascular reconstitution by promoting a shift from pigment epithelium-derived factor (PEDF) to vascular endothelial growth factor A (VEGFA) expression during hepatectomy- or ALLPS (associating liver partition and portal vein ligation for staged hepatectomy)-induced liver regeneration. We also identified serum PEDF/VEGFA index as a potential predictor of post-hepatectomy liver failure in patients who underwent hepatectomy. This study improves our understanding of how hepatocytes contribute to liver regeneration and provides new targets for the prevention and treatment of post-hepatectomy liver failure.

Impact of the Prolonged Intermittent Pringle Maneuver on Post-Hepatectomy Liver Failure: Comparison of Open and Laparoscopic Approaches.

The influence of prolonged intermittent Pringle maneuver (IPM) on post-hepatectomy liver failure (PHLF) remains unclear. We evaluated the impact of the prolonged IPM on PHLF in patients undergoing open and laparoscopic hepatectomy. We retrospectively included 546 patients who underwent hepatectomy using IPM. The patients were divided into open (n = 294) and laparoscopic (n = 252) groups. Odds ratios for PHLF occurrence were estimated in each group according to cumulative Pringle time (CPT). The cut-off value was set at CPT of 120min. Risk factors for PHLF were evaluated in the open and laparoscopic groups. Additionally, we analyzed the post-operative outcomes in the open and laparoscopic groups with CPT ≥ 120min and performed propensity score matching analysis based on PFLF-associated factors. In the open group, the risk of PHLF increased as CPT increased, particularly after 120min. However, in the laparoscopic group, PHLF did not occur at less than 60min, and the risk of PHLF was not significantly different at more than 60min. Multivariate analysis identified CPT ≥ 120min as an independent risk factor for PHLF in the open group (p < 0.001), but not in the laparoscopic group. Propensity score matching analysis showed that the PHLF rate was significantly lower in the laparoscopic group with CPT ≥ 120min (p = 0.027). The post-operative transaminase levels were significantly lower in the laparoscopic group with CPT ≥ 120min. Laparoscopic hepatectomy may cause less PHLF with prolonged IPM compared with open hepatectomy.

Biochemical and morphological responses to post-hepatectomy liver failure in rats

The upper limit for partial hepatectomy (PH) in rats is 90%, which is associated with an increased risk of post-hepatectomy liver failure (PHLF), correlating with high mortality. Sixty-eight rats were randomized to 90% PH, sham operation, or no surgery. Further block randomization was performed to determine the time of euthanasia, whether 12, 24, or 48 h after surgery. A general distress score (GDS) was calculated to distinguish between rats with reversible (GDS < 10) and irreversible PHLF (GDS ≥ 10). At euthanasia, the liver remnant and blood were collected. Liver-specific biochemistry and regeneration ratio were measured. Hepatocyte proliferation and volume were estimated using stereological methods. All rats subjected to 90% experienced biochemical PHLF. The biochemical and morphological liver responses did not differ between the groups until 48 h after surgery. At 48 h, liver regeneration and function were significantly improved in survivors. The peak mean regeneration ratio was 15% for rats with irreversible PHLF compared to 26% for rats with reversible PHLF. The 90% PH rat model was associated with PHLF and high mortality. Irreversible PHLF was characterized by impaired liver regeneration capacity and an insufficient ability to metabolize ammonia.

E-AHPBA-ESSO-ESSR Innsbruck consensus guidelines for preoperative liver function assessment before hepatectomy.

Posthepatectomy liver failure (PHLF) contributes significantly to morbidity and mortality after liver surgery. Standardized assessment of preoperative liver function is crucial to identify patients at risk. These European consensus guidelines provide guidance for preoperative patient assessment. A modified Delphi approach was used to achieve consensus. The expert panel consisted of hepatobiliary surgeons, radiologists, nuclear medicine specialists, and hepatologists. The guideline process was supervised by a methodologist and reviewed by a patient representative. A systematic literature search was performed in PubMed/MEDLINE, the Cochrane library, and the WHO International Clinical Trials Registry. Evidence assessment and statement development followed Scottish Intercollegiate Guidelines Network methodology. Based on 271 publications covering 4 key areas, 21 statements (at least 85 per cent agreement) were produced (median level of evidence 2- to 2+). Only a few systematic reviews (2++) and one RCT (1+) were identified. Preoperative liver function assessment should be considered before complex resections, and in patients with suspected or known underlying liver disease, or chemotherapy-associated or drug-induced liver injury. Clinical assessment and blood-based scores reflecting liver function or portal hypertension (for example albumin/bilirubin, platelet count) aid in identifying risk of PHLF. Volumetry of the future liver remnant represents the foundation for assessment, and can be combined with indocyanine green clearance or LiMAx® according to local expertise and availability. Functional MRI and liver scintigraphy are alternatives, combining FLR volume and function in one examination. These guidelines reflect established methods to assess preoperative liver function and PHLF risk, and have uncovered evidence gaps of interest for future research.