Post-hepatectomy liver failure after hepatic resection for hepatocellular carcinoma: a single center experience

Liver resection for hepatocellular carcinoma in elderly patients: does age matter?

BACKGROUND

Evaluation of the influence of the age of the patients upon the outcomes of liver resection (LR) for hepatocellular carcinoma (HCC).

METHODS

HCC patients who underwent LR between 2010 and 2020 were analyzed. They were divided into 3 groups depending on the patient's age. Group I (patients less than 60 years), Group II (patients between 60 and 69 years), and Group III (patients equal to or more than 70 years).

RESULTS

364 patients were included. A significantly higher serum bilirubin and alpha feto-protein were noted in Group I and serum creatinine was noted in Group III. The study groups did not show any significant differences regarding HCC site, number, macrovascular invasion, the extent of LR, Pringle maneuver, and perioperative blood transfusions. Longer operation time was found in Groups II and III, while more blood loss was noted in Group (I) Group I patients had longer hospital stays. Higher postoperative morbidities were noted in both Group I and Group (II) Higher incidence of post-hepatectomy liver dysfunction was noted in Group I. More early mortalities were found in Group I, related to liver failure. We did not experience early mortality in Group (III) Late Mortalities occurred in 117 patients (32.1%). HCC recurrence occurred in 165 patients (45.3%). Regarding the overall- and tumor-free survival, we did not experience any significant differences among the 3 groups (Log Rank: p = 0.371 and 0.464 respectively).

CONCLUSIONS

Curative LR can be safely performed in selected elderly patients with HCC. An advanced patient's age should not be considered as a contraindication for curative LR.

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

BACKGROUND

Although 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.

METHODS

Retrospective 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.

RESULTS

A 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.

CONCLUSION

To 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.

Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence

(1) Background: Advancements in the field of liver surgery have led to a critical need for precise estimations of preoperative liver function to prevent post-hepatectomy liver failure (PHLF), a significant cause of morbidity and mortality. This study introduces a novel application of artificial intelligence (AI) in determining safe resection volumes according to a patient's liver function in major hepatectomies. (2) Methods: We incorporated a deep learning approach, incorporating a unique liver-specific loss function, to analyze patient characteristics, laboratory data, and liver volumetry from computed tomography scans of 52 patients. Our approach was evaluated against existing machine and deep learning techniques. (3) Results: Our approach achieved 68.8% accuracy in predicting safe resection volumes, demonstrating superior performance over traditional models. Furthermore, it significantly reduced the mean absolute error in under-predicted volumes to 23.72, indicating a more precise estimation of safe resection limits. These findings highlight the potential of integrating AI into surgical planning for liver resections. (4) Conclusion: By providing more accurate predictions of safe resection volumes, our method aims to minimize the risk of PHLF, thereby improving clinical outcomes for patients undergoing hepatectomy.

Impact of tumor size on the outcomes of hepatic resection for hepatocellular carcinoma: a retrospective study

BACKGROUND

To evaluate the impact of tumor size on the perioperative and long-term outcomes of liver resection for hepatocellular carcinoma (HCC).

METHODS

We reviewed the patients' data who underwent liver resection for HCC between November 2009 and 2019. Patients were divided into 3 groups according to the tumor size. Group I: HCC < 5 cm, Group II: HCC between 5 to 10 cm, and Group III: HCC ≥ 10 cm in size.

RESULTS

Three hundred fifteen patients were included in the current study. Lower platelets count was noted Groups I and II. Higher serum alpha-feto protein was noted in Group III. Higher incidence of multiple tumors, macroscopic portal vein invasion, nearby organ invasion and presence of porta-hepatis lymph nodes were found in Group III. More major liver resections were performed in Group III. Longer operation time, more blood loss and more transfusion requirements were found in Group III. Longer hospital stay and more postoperative morbidities were noted in Group III, especially posthepatectomy liver failure, and respiratory complications. The median follow-up duration was 17 months (7-110 months). Mortality occurred in 100 patients (31.7%) and recurrence occurred in 147 patients (46.7%). There were no significant differences between the groups regarding recurrence free survival (Log Rank, p = 0.089) but not for overall survival (Log Rank, p = 0.001).

CONCLUSION

HCC size is not a contraindication for liver resection. With proper selection, safe techniques and standardized care, adequate outcomes could be achieved.

A simple preoperative model to predict overall survival of patients undergoing liver resection for hepatocellular carcinoma ≥10 cm

BACKGROUND

Studies have rarely reported on preoperative predictors of prognosis of patients undergoing liver resection (LR) for HCC ≥10 cm. We developed a simple model to predict overall survival (OS) of these patients.

METHODS

We enrolled 305 patients with HCC ≥10 cm undergoing LR. Cirrhosis and imaging-defined AJCC stage were used to develop a preoperative model. Patients were divided into three groups based on the Kaplan-Meier estimator.

RESULTS

Group 1 included patients with AJCC stage 1 and no cirrhosis (n = 86), group 2 those with AJCC stage 1 and cirrhosis plus those with AJCC stage 2 or 3 and no cirrhosis (n = 166), and group 3 those with AJCC stage 2 or 3 and cirrhosis (n = 51). The five-year OS of group 1, 2, and 3 was 55%, 32%, and 25%, respectively (p < 0.001). With group 1 as the reference, multivariate analysis of OS showed that group 2 (HR = 2.043; 95% CI = 1.332-3.134; p = 0.001) and group 3 (HR = 2.740; 95% CI = 1.645-4.564; p < 0.001) were independent predictors of OS.

CONCLUSION

We developed a simple model to predict OS of patients undergoing LR for HCC ≥10 cm.

Can 3D imaging modeling recognize functional tissue and predict liver failure? A retrospective study based on 3D modelling of the major hepatectomies after hepatic modulation

BACKGROUND

Thanks to the introduction of radiomics, 3d reconstruction can be able to analyse tissues and recognise true hypertrophy from non-functioning tissue in patients treated with major hepatectomies with hepatic modulation.The aim of this study is to evaluate the performance of 3D Imaging Modelling in predict liver failure.

METHODS

Patients submitted to major hepatectomies after hepatic modulation at Sanchinarro University Hospital from May 2015 to October 2019 were analysed. Three-dimensional reconstruction was realised before and after surgical treatment. The volumetry of Future Liver Remnant was calculated, distinguishing in Functional Future Liver Remnant (FRFx) i.e. true hypertrophy tissue and Anatomic Future Liver Remnant (FRL) i.e. hypertrophy plus no functional tissue (oedema/congestion) These volumes were analysed in patients with and without post hepatic liver failure.

RESULTS

Twenty-four procedures were realised (11 ALPPS and 13 PVE followed by major hepatectomy). Post hepatic liver failure grade B and C occurred in 6 patients. The ROC curve showed a better AUC for FRFxV (74%) with respect to FRLV (54%) in prediction PHLF > B. The increase of anatomical FRL (iFRL) was superior in the ALPPS group (120%) with respect to the PVE group (73%) (p = 0,041), while the increase of functional FRFX (iFRFx) was 35% in the ALLPS group and 46% in the PVE group (p > 0,05), showing no difference in the two groups.

CONCLUSION

The 3D reconstruction model can allow optimal surgical planning, and through the use of specific algorithms, can contribute to differential functioning liver parenchyma of the FLR.

Predicting Post-Hepatectomy Liver Failure in HCC Patients: A Review of Liver Function Assessment Based on Laboratory Tests Scores

The assessment of liver function is crucial in predicting the risk of post-hepatectomy liver failure (PHLF) in patients undergoing liver resection, especially in cases of hepatocellular carcinoma (HCC) which is often associated with cirrhosis. There are currently no standardized criteria for predicting the risk of PHLF. Blood tests are often the first- and least invasive expensive method for assessing hepatic function. The Child-Pugh score (CP score) and the Model for End Stage Liver Disease (MELD) score are widely used tools for predicting PHLF, but they have some limitations. The CP score does not consider renal function, and the evaluation of ascites and encephalopathy is subjective. The MELD score can accurately predict outcomes in cirrhotic patients, but its predictive capabilities diminish in non-cirrhotic patients. The albumin-bilirubin score (ALBI) is based on serum bilirubin and albumin levels and allows the most accurate prediction of PHLF for HCC patients. However, this score does not consider liver cirrhosis or portal hypertension. To overcome this limitation, researchers suggest combining the ALBI score with platelet count, a surrogate marker of portal hypertension, into the platelet-albumin-bilirubin (PALBI) grade. Non-invasive markers of fibrosis, such as FIB-4 and APRI, are also available for predicting PHLF but they focus only on cirrhosis related aspects and are potentially incomplete in assessing the global liver function. To improve the predictive power of the PHLF of these models, it has been proposed to combine them into a new score, such as the ALBI-APRI score. In conclusion, blood test scores may be combined to achieve a better predictive value of PHLF. However, even if combined, they may not be sufficient to evaluate liver function and to predict PHLF; thus, the inclusion of dynamic and imaging tests such as liver volumetry and ICG r15 may be helpful to potentially improve the predictive capacity of these models.

Association of Viral Hepatitis Status and Post-hepatectomy Outcomes in the Era of Direct-Acting Antivirals

BACKGROUND

The role of viral hepatitis status in post-hepatectomy outcomes has yet to be delineated. This large, multicentred contemporary study aimed to evaluate the effect of viral hepatitis status on 30-day post-hepatectomy complications in patients treated for hepatocellular carcinoma (HCC).

METHODS

Patients from the National Surgical Quality Improvement Program (NSQIP) database with known viral hepatitis status, who underwent hepatectomy for HCC between 2014 and 2018, were included. Patients were classified as HBV-only, HCV-only, HBV and HCV co-infection (HBV/HCV), or no viral hepatitis (NV). Multivariable models were used to assess outcomes of interest. The primary outcome was any 30-day post-hepatectomy complication. The secondary outcomes were major complications and post-hepatectomy liver failure (PHLF). Subgroup analyses were performed for cirrhotic and noncirrhotic patients.

RESULTS

A total of 3234 patients were included. The 30-day complication rate was 207/663 (31.2%) HBV, 356/1077 (33.1%) HCV, 29/81 (35.8%) HBV/HCV, and 534/1413 (37.8%) NV (p = 0.01). On adjusted analysis, viral hepatitis status was not associated with occurrence of any 30-day post-hepatectomy complications (ref: NV, HBV odds ratio (OR) 0.89 [95% confidence interval (CI): 0.71-1.12]; HCV OR 0.91 [95% CI: 0.75-1.10]; HBV/HCV OR 1.17 [95% CI: 0.71-1.93]). Similar results were found in cirrhotic and noncirrhotic subgroups, and for secondary outcomes: occurrence of any major complications and PHLF.

CONCLUSIONS

In patients with HCC managed with resection, viral hepatitis status is not associated with 30-day post-hepatectomy complications, major complications, or PHLF compared with NV. This suggests that clinical decisions and prognostication of 30-day outcomes in this population likely should not be made based on viral hepatitis status.

Cirrhotic and non-cirrhotic huge hepatocellular carcinoma (≥ 10 cm): a comparative study of surgical management and follow-up treatment in a single institution

PURPOSE

Liver resection (LR) of huge hepatocellular carcinoma (HCC) has increasingly been regarded as a viable option of enhanced efficacy for patients, but most studies have focused on comparing various tumor sizes and the outcomes of surgery. The study aim was to evaluate the clinicopathologic characteristics and surgical outcomes of huge HCC with and without cirrhosis that underwent LR, and to delineate the treatment for recurrence.

METHODS

Sixty-three patients with huge HCC who underwent hepatectomy from 2010 to 2019 were enrolled and reviewed. Clinicopathological findings, surgical outcomes of the entire cohort, and differences between the cirrhotic and non-cirrhotic groups were analyzed.

RESULTS

Forty patients (60.3%) had huge HCC with cirrhosis. Clinicopathological findings were not different between the two groups, except tumor size ≥ 15 cm (40% in cirrhosis vs 17.4% in non-cirrhosis, p = 0.024) and major portal vein tumor thrombus were detected only in the cirrhosis group (11 patients, p = 0.006). Extended LR was performed in 13 cirrhotic patients (32.5%) and in 1 non-cirrhotic patient (4.4%) (p = 0.010). Operative data, postoperative complications including postoperative liver failure, and pattern of recurrence were not different between the two groups. For the entire cohort, mortality rate was 1.5%. The 1-, 3-, and 5-year overall survival rates (OS) were 81%, 54%, and 39%. Multivariate analysis showed resection margin ≥ 0.1 cm was a good prognostic factor for OS (HR 0.247 (p = 0.017)). For tumor recurrence, local ablative treatment for liver recurrence and resection for lung recurrence provided good long-term outcomes.

CONCLUSION

Although huge HCC with cirrhosis has been a more unfavorable tumor, LR still provided long-term survival with acceptable risk morbidity and mortality.

Quantitative parameters obtained from gadobenate dimeglumine-enhanced MRI at the hepatobiliary phase can predict post-hepatectomy liver failure and overall survival in patients with hepatocellular carcinoma

PURPOSE

To determine the value of the quantitative parameters obtained from gadobenate dimeglumine-enhanced magnetic resonance imaging (MRI) at the hepatobiliary phase for predicting post-hepatectomy liver failure and overall survival in patients with hepatocellular carcinoma.

METHOD

This multicenter retrospective study included 307 patients who underwent gadobenate dimeglumine-enhanced MRI. The quantitative liver-to-portal vein contrast ratio (LPC) and liver-spleen contrast ratio (LSC) at the hepatobiliary phase were measured. Logistic regression analyses were used to evaluate risk factors for post-hepatectomy liver failure. The capacity of the LPC and LSC to predict post-hepatectomy liver failure was evaluated via receiver operating characteristic (ROC) curve. The Cox proportional hazards regression was used to identify prognostic factors for overall survival (OS).

RESULTS

Post-hepatectomy liver failure was observed in 69 patients (22.5%). The LPC and LSC were independent risk factors for the development of post-hepatectomy liver failure, and the areas under the ROC curves of LPC and LSC were 0.882 and 0.782, respectively. The predictive performance of LPC for post-hepatectomy liver failure was superior to LSC. The LPC and LSC were also significant prognostic factors for OS. The cut-off values for the LPC and LSC were 1.07 and 0.89, respectively. The 5-year OS rate was higher in patients with LPC > 1.07 or LSC > 0.89 than in patients with LPC ≤ 1.07 or LSC ≤ 0.89.

CONCLUSIONS

The quantitative parameters obtained from gadobenate dimeglumine-enhanced MRI at the hepatobiliary phase were effective imaging biomarkers for predicting both post-hepatectomy liver failure and overall survival in patients with hepatocellular carcinoma.

Impact of post-hepatectomy liver failure on morbidity and short- and long-term survival after major hepatectomy

Background

Post-hepatectomy liver failure (PHLF) is one of the most serious postoperative complications after hepatectomy. The aim of this study was to assess the impact of the International Study Group of Liver Surgery (ISGLS) definition of PHLF on morbidity and short- and long-term survival after major hepatectomy.

Methods

This was a retrospective review of all patients who underwent major hepatectomy (three or more liver segments) for various liver tumours between 2010 and 2018 at two Swedish tertiary centres for hepatopancreatobiliary surgery. Descriptive statistics, regression models, and survival analyses were used.

Results

A total of 799 patients underwent major hepatectomy, of which 218 patients (27 per cent) developed ISGLS-defined PHLF, including 115 patients (14 per cent) with ISGLS grade A, 76 patients (10 per cent) with grade B, and 27 patients (3 per cent) with grade C. The presence of cirrhosis, perihilar cholangiocarcinoma, and gallbladder cancer, right-sided hemihepatectomy and trisectionectomy all significantly increased the risk of clinically relevant PHLF (grades B and C). Clinically relevant PHLF increased the risk of 90-day mortality and was associated with impaired long-term survival. ISGLS grade A had more major postoperative complications compared with no PHLF but failed to be an independent predictor of both 90-day mortality and long-term survival. The impact of PHLF grade B/C on long-term survival was no longer present in patients surviving the first 90 days after surgery.

Conclusions

The presently used ISGLS definition for PHLF should be reconsidered regarding mortality as only PHLF grade B/C was associated with a negative impact on short-term survival; however, even ISGLS grade A had clinical implications.

A Clinical-Radiomic Model for Predicting Indocyanine Green Retention Rate at 15 Min in Patients With Hepatocellular Carcinoma

Purpose:

The indocyanine green retention rate at 15 min (ICG-R15) is of great importance in the accurate assessment of hepatic functional reserve for safe hepatic resection. To assist clinicians to evaluate hepatic functional reserve in medical institutions that lack expensive equipment, we aimed to explore a novel approach to predict ICG-R15 based on CT images and clinical data in patients with hepatocellular carcinoma (HCC).

Methods

In this retrospective study, 350 eligible patients were enrolled and randomly assigned to the training cohort (245 patients) and test cohort (105 patients). Radiomics features and clinical factors were analyzed to pick out the key variables, and based on which, we developed the random forest regression, extreme gradient boosting regression (XGBR), and artificial neural network models for predicting ICG-R15, respectively. Pearson's correlation coefficient (R) was adopted to evaluate the performance of the models.

Results

We extracted 660 CT image features in total from each patient. Fourteen variables significantly associated with ICG-R15 were picked out for model development. Compared to the other two models, the XGBR achieved the best performance in predicting ICG-R15, with a mean difference of 1.59% (median, 1.53%) and an R-value of 0.90. Delong test result showed no significant difference in the area under the receiver operating characteristic (AUROCs) for predicting post hepatectomy liver failure between actual and estimated ICG-R15.

Conclusion

The proposed approach that incorporates the optimal radiomics features and clinical factors can allow for individualized prediction of ICG-R15 value of patients with HCC, regardless of the specific equipment and detection reagent (NO. ChiCTR2100053042; URL, http://www.chictr.org.cn).

Bile Leakage After Hepatic Resection for Hepatocellular Carcinoma: Does It Impact the Short- and Long-term Outcomes?

BACKGROUND

Bile leakage (BL) is one of the commonest morbidities after hepatic resection for hepatocellular carcinoma (HCC). The current study was conducted to evaluate the incidence and different predictive factors for BL after hepatic resection for HCC, and to evaluate of the impact of BL on the long-term survival outcomes.

METHODS

We reviewed the patients' data who underwent hepatic resection for HCC during the period between June 2010 and June 2019.

RESULTS

A total of 293 patients were included in the study. BL occurred in 17 patients (5.8%). More Child-Pugh class B patients were found in BL group. There were no significant differences between the two groups except for tumor site, macroscopic portal vein invasion, extent of liver resection, Pringle maneuver use, intraoperative blood loss, and transfusions. Longer hospital stay, higher grades of post-hepatectomy liver failure, and abdominal collections were noted in BL group. After median follow-up duration of 17 months (4-110 months), there were no significant differences between BL and non-BL group regarding overall survival (log-rank, p = 0.746) and disease-free survival (log-rank, p = 0.348). In multivariate analysis, Child-Pugh class, macroscopic portal vein invasion, liver resection extent (minor/major), and Pringle's maneuver use were the only significant predictors of BL.

CONCLUSION

BL did not significantly impair the long-term outcomes after hepatic resection for HCC. Child-Pugh class, macroscopic portal vein invasion, liver resection extent (minor/major), and Pringle's maneuver use were the main risk factors of BL in the current study.

Unique situation of hepatocellular carcinoma in Egypt: A review of epidemiology and control measures

Hepatocellular carcinoma (HCC) is the sixth most common primary malignancy worldwide, and the third most common cause of death among cancers worldwide. HCC occurs in several pre-existing conditions, including hepatitis C, hepatitis B virus, and non-alcoholic cirrhosis. Egypt used to be the country with the heaviest hepatitis C virus (HCV) burden. The relationship between HCV and HCC is an important research area. In Egypt, HCC is a significant public health problem. A possible cause for the increasing rates of detection of HCC in Egypt is the mass screening program that was carried by the government for detecting and treating HCV. A multidisciplinary approach is now widely applied to HCC management in health centers all over Egypt. Different treatment modalities are available in Egypt, with success rates comparable to global rates. The Egyptian health authorities have made the elimination of HCV from Egypt a special priority, and this approach should lead to a decrease in number of HCC cases in the near future. In this article we review the current situation of HCC in Egypt, including epidemiological aspects, relevant risk factors for HCC development, strategies, and efforts established by health authorities for the screening and prevention of both HCV and HCC in Egypt. We highlight the different modalities for HCC treatment.

Diabetes mellitus and postoperative blood glucose value help predict posthepatectomy liver failure in patients with hepatocellular carcinoma

Background

Many complications after hepatectomy can lead to perioperative death, among which posthepatectomy liver failure (PHLF) is the leading one. Existing studies suggest that one of the most important risk factors for PHLF is cirrhosis. Hepatitis B virus (HBV) infection is an important factor in the occurrence of cirrhosis, and the exact relationship between HBV infection and PHLF is not obvious. Diabetes mellitus and postoperative blood glucose are closely associated with liver regeneration, but its exact relationship with PHLF remains unclear.

Methods

We collected clinical indicators from 920 adult patients treated at the Liver Surgery and Transplantation Center of West China Hospital of Sichuan University from April 2009 and April 2019. We conducted a univariate analysis find out the risk factors of PHLF, follow by a multivariate analysis to ascertain the independent risk factors. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficiency of each risk factor.

Results

Following hepatectomy, 205 (22.2%) of patients were diagnosed with PHLF. Several variables were confirmed to related with PHLF significantly: diabetes [P<0.01, odds ratio (OR) =10.845, 95% confidence interval (CI): 5.450-21.579], HBV (P<0.01, OR =0.345, 95% CI: 0.187-0.635), blood glucose on the first postoperative day (post-BG1) (P=0.027, OR =1.059, 95% CI: 1.006-1.115), blood glucose on the third postoperative day (post-BG3) (P=0.021, OR =1.085, 95% CI: 1.012-1.162), blood glucose on the fifth postoperative day (post-BG5) (P=0.014, OR =1.119, 95% CI: 1.023-1.225), postoperative total bilirubin (post-TB) (P<0.01, OR =1.160, 95% CI: 1.133-1.187), and liver cirrhosis (P<0.01, OR =0.982, 95% CI: 0.561-1.717) identified to be independent risk factors of PHLF.

Conclusions

Diabetes, HBV, post-BG1, post-BG3, and post-BG5 are related to the development of PHLF, and diabetes and post-BG can be used as predictors of the development of PHLF in patients with hepatocellular carcinoma (HCC).

Prognostic role of preoperative albumin-bilirubin score in posthepatectomy liver failure and mortality: a systematic review and meta-analysis

Posthepatectomy liver failure (PHLF) is a life-threatening complication after liver resection, resulting in an increased morbidity and mortality. Epidemiological evidence of the association between preoperative albumin-bilirubin (ALBI) score, a newly established model for assessing liver functional reserve, and the risk of PHLF and mortality remains controversial. A systematical search for relevant literature was performed in PubMed, Embase, and Web of Science databases from December 2014 to September 2020. Odds ratio (OR) value and 95% confidence interval (CI) were extracted or calculated to synthetically estimate the association of preoperative ALBI score with PHLF and mortality. Meta-analyses were performed using a random-effects model. Twelve studies with a total of 21,348 patients were included in this meta-analysis. It was indicated that, compared to patients with a lower preoperative ALBI grade, patients with a higher grade had a significantly elevated risk of PHLF (6 studies, 18,291 patients; OR = 2.48, 95%CI: 2.00-3.07) and mortality (4 studies15, 139 patients; OR = 2.35, 95% CI: 1.38-4.00). In addition, when it was expressed as a continuous variable, ALBI was also a significant predictor of PHLF (6 studies, 3,833 patients; OR = 3.16, 95% CI: 2.07-4.81, per 1-point increase in ALBI score). No significant publication biases were detected as suggested by funnel plots inspection and Begg's tests. The current meta-analysis demonstrates that preoperative elevated ALBI is associated with higher risk of PHLF and mortality after hepatectomy.