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Santol J, Rajcic D, Ortmayr G, Hoebinger C, Baranovskyi TP, Rumpf B, Schuler P, Probst J, Aiad M, Kern AE, Ammann M, Jankoschek AS, Weninger J, Gruenberger T, Starlinger P, Hendrikx T. Soluble TREM2 reflects liver fibrosis status and predicts postoperative liver dysfunction after liver surgery. JHEP Rep 2025; 7:101226. [PMID: 40124168 PMCID: PMC11929072 DOI: 10.1016/j.jhepr.2024.101226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 09/17/2024] [Accepted: 09/25/2024] [Indexed: 03/25/2025] Open
Abstract
Background & Aims Triggering receptor expressed on myeloid cells 2 (TREM2)-expressing macrophages and systemic levels of soluble TREM2 (sTREM2) appear critical in the development of chronic liver disease (CLD) and seem relevant in its detection. The aim of this study was to examine sTREM2 as a marker for early CLD and its potential to predict posthepatectomy liver failure (PHLF) in patients undergoing partial hepatectomy. Methods sTREM2 was assessed in the plasma of 108 patients undergoing liver resection. Blood was drawn prior to surgery (preop) and on the first and fifth postoperative day. Results Preop sTREM2 levels were similar across different indications for resection (p = 0.091). Higher preop sTREM2 levels were associated with advanced hepatic fibrosis (p = 0.030) and PHLF (p = 0.007). Fibrosis-4 index (FIB-4) (p = 0.619) and model for end-stage liver disease (MELD) (p = 0.590) did not show a difference between patients grouped by their CLD. Comparing the AUC from receiver-operating characteristic analysis, sTREM2 (AUC = 0.708) outperformed FIB-4 (AUC = 0.529), MELD (AUC = 0.587), Child-Pugh grading (AUC = 0.570) and LiMAx (liver maximum capacity test) (AUC = 0.516) in predicting PHLF. Similarly, in uni- and multivariate analysis, only sTREM2 proved predictive for PHLF (p = 0.023). High-risk (p = 0.003) and low-risk (p = 0.011) cut-offs for systemic sTREM2 levels could identify patients at risk for adverse outcomes after surgery. Finally, high sTREM2 was associated with decreased overall survival after liver surgery (p <0.001). Conclusions Circulating sTREM2 shows sensitivity for early-stage, asymptomatic liver disease, irrespective of the underlying indication for liver surgery. Assessment of CLD via sTREM2 monitoring could improve early detection of CLD and improve outcomes after liver surgery. Impact and implications Soluble TREM2 (sTREM2) has previously been shown to correlate with the degree of chronic liver disease. We found that even in patients undergoing liver resection, who generally do not suffer from end-stage liver disease, sTREM2 reflects liver fibrosis status and predicts postoperative development of liver dysfunction. This is especially relevant for liver surgeons and patients, as postoperative liver dysfunction is the main reason for postoperative mortality. Our findings are also important for hepatologists, as early detection of liver fibrosis and cirrhosis is paramount for overall patient survival and we can show that even in a cohort with a median model for end-stage liver disease score of 6, sTREM2 is able to distinguish patients based on their liver fibrosis status.
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Affiliation(s)
- Jonas Santol
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, Vienna, Austria
- Department of Surgery, Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
- Institute of Vascular Biology and Thrombosis Research, Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Dragana Rajcic
- Department of Laboratory Medicine, KILM, Medical University Vienna, Vienna, Austria
| | - Gregor Ortmayr
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Constanze Hoebinger
- Department of Laboratory Medicine, KILM, Medical University Vienna, Vienna, Austria
| | - Taras P. Baranovskyi
- Department of Laboratory Medicine, KILM, Medical University Vienna, Vienna, Austria
| | - Benedikt Rumpf
- Hospital Barmherzige Schwestern, Department of Surgery, Vienna, Austria
| | - Pia Schuler
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Joel Probst
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, Vienna, Austria
| | - Monika Aiad
- Medical University of Vienna, Vienna, Austria
| | | | - Markus Ammann
- Department of Surgery, Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Surgery, State Hospital Wiener Neustadt, Wiener Neustadt, Austria
| | | | | | - Thomas Gruenberger
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, Vienna, Austria
| | - Patrick Starlinger
- Department of Surgery, Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
- Department of General Surgery, Division of Visceral Surgery, Medical University of Vienna, Vienna, Austria
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna Austria
| | - Tim Hendrikx
- Department of Laboratory Medicine, KILM, Medical University Vienna, Vienna, Austria
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Gupta M, Davenport D, Orozco G, Bharadwaj R, Roses RE, Evers BM, Zwischenberger J, Ancheta A, Shah MB, Gedaly R. Perioperative outcomes after hepatectomy for hepatocellular carcinoma among patients with cirrhosis, fatty liver disease, and clinically normal livers. Surg Oncol 2024; 56:102114. [PMID: 39163797 DOI: 10.1016/j.suronc.2024.102114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 07/24/2024] [Accepted: 07/30/2024] [Indexed: 08/22/2024]
Abstract
INTRODUCTION Despite superior outcomes with liver transplantation, cirrhotic patients with HCC may turn to other forms of definitive treatment. To understand perioperative outcomes, we examined perioperative mortality and major morbidity after hepatectomy for HCC among cirrhotic and non-cirrhotic patients. METHOD ology: The American College of Surgeons National Surgical Quality Improvement Project (ACS-NSQIP) database was queried for liver resection for HCC. Multivariable logistic regression was performed to determine the association between liver texture and risk of major non-infectious morbidity, post-hepatectomy liver failure (PHLF) and 30-day mortality. RESULTS From 2014 to 2018, 2203 patients underwent hepatectomy: 58.6 % cirrhotic, 12.8 % fatty and 28.6 % normal texture. Overall 30 day-mortality was 2.1 % (n = 46), although higher among fatty liver (2.8 %) and cirrhotic (2.6 %; p = 0.025) patients. The incidence of PHLF was 6.9 %, with hepatectomy type, cirrhosis, and platelet count as major risk factors. Age, resection type, and platelet count were associated with major complications. Trisegmentectomy and right hepatectomy (OR = 3.60, OR = 3.46, respectively) conferred a greater risk of major noninfectious morbidity compared to partial hepatectomy. Among cirrhotics alone, hepatectomy type, platelet count, preoperative sepsis and ASA class were associated with major morbidity. DISCUSSION Hepatic parenchymal disease/texture and function, presence of portal hypertension, and the extent of the liver resection are critical determinants of perioperative risk among HCC patients.
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Affiliation(s)
- Meera Gupta
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA.
| | - Daniel Davenport
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Gabriel Orozco
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Rashmi Bharadwaj
- University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Robert E Roses
- Department of Surgery - Division of Surgical Oncology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - B Mark Evers
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Joseph Zwischenberger
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Alexandre Ancheta
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Malay B Shah
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
| | - Roberto Gedaly
- Department of Surgery - Transplant Division, University of Kentucky, College of Medicine, Lexington, KY, 40536, USA
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Takemura Y, Endo H, Hibi T, Nakano Y, Seishima R, Takeuchi M, Yamamoto H, Maeda H, Hanazaki K, Taketomi A, Kakeji Y, Seto Y, Ueno H, Mori M, Kitagawa Y. Impact of the COVID-19 pandemic on the number and short-term outcomes in hepatectomy for hepatocellular carcinoma: Results from the Japanese National Clinical Database, 2018-2021. Hepatol Res 2024; 54:685-694. [PMID: 38308614 DOI: 10.1111/hepr.14014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/23/2023] [Accepted: 01/08/2024] [Indexed: 02/05/2024]
Abstract
AIM The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted the allocation of medical resources, including cancer screening, diagnosis, and treatment. We aimed to investigate the effects of the pandemic on morbidity and mortality following hepatectomy for hepatocellular carcinoma (HCC). METHODS We identified patients who underwent hepatectomy for HCC between 2018 and 2021 from the Japanese National Clinical Database (NCD). The number of surgical cases, the use of intensive care units, and the incidence of morbidity were assessed. The standardized morbidity / mortality ratio (SMR) was used to evaluate the rates of morbidity (bile leakage and pneumonia) and mortality in each month, which compares the observed incidence to the expected incidence calculated by the NCD's risk calculator. RESULTS The study included a total of 10 647 cases. The number of patients undergoing hepatectomy for HCC gradually decreased. The proportion of patients aged 80 years or older increased and that of cases with T1 stage decreased. The proportion of patients who were admitted to the intensive care unit did not change between the pre- and postpandemic period. The mean actual incidence rates of bile leakage, pneumonia, 30-day mortality, and surgical mortality were 9.2%, 2.3%, 1.4%, and 2.1%, respectively. The SMR for the mortalities and morbidities in each month did not increase mostly throughout the COVID-19 pandemic. CONCLUSIONS The present study showed the decreasing number of resected cases for HCC, while the surgical safety for hepatectomy was enough to be maintained by managing medical resources in Japan.
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Affiliation(s)
- Yusuke Takemura
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hideki Endo
- Department of Healthcare Quality Assessment, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Taizo Hibi
- Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan
| | - Yutaka Nakano
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Seishima
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Masashi Takeuchi
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hiroyuki Yamamoto
- Department of Healthcare Quality Assessment, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | | | - Akinobu Taketomi
- Department of Gastroenterological Surgery I, Hokkaido University Hospital, Sapporo, Japan
| | - Yoshihiro Kakeji
- Database Committee, The Japanese Society of Gastroenterological Surgery, Tokyo, Japan
| | - Yasuyuki Seto
- Department of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideki Ueno
- Database Committee, The Japanese Society of Gastroenterological Surgery, Tokyo, Japan
- Department of Surgery, National Defense Medical College, Tokorozawa, Japan
| | | | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
- The Japanese Society of Gastroenterological Surgery, Tokyo, Japan
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Cheo FY, Chan KS, Shelat VG. Outcomes of liver resection in hepatitis C virus-related intrahepatic cholangiocarcinoma: A systematic review and meta-analysis. World J Virol 2024; 13:88946. [PMID: 38616852 PMCID: PMC11008402 DOI: 10.5501/wjv.v13.i1.88946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/10/2023] [Accepted: 12/28/2023] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Cholangiocarcinoma is the second most common primary liver malignancy. Its incidence and mortality rates have been increasing in recent years. Hepatitis C virus (HCV) infection is a risk factor for development of cirrhosis and cholangiocarcinoma. Currently, surgical resection remains the only curative treatment option for cholangiocarcinoma. We aim to study the impact of HCV infection on outcomes of liver resection (LR) in intrahepatic cholangiocarcinoma (ICC). AIM To study the outcomes of curative resection of ICC in patients with HCV (i.e., HCV+) compared to patients without HCV (i.e., HCV-). METHODS We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) and observational studies to assess the outcomes of LR in ICC in HCV+ patients compared to HCV- patients in tertiary care hospitals. PubMed, EMBASE, The Cochrane Library and Scopus were systematically searched from inception till August 2023. Included studies were RCTs and non-RCTs on patients ≥ 18 years old with a diagnosis of ICC who underwent LR, and compared outcomes between patients with HCV+ vs HCV-. The primary outcomes were overall survival (OS) and recurrence-free survival. Secondary outcomes include perioperative mortality, operation duration, blood loss, intrahepatic and extrahepatic recurrence. RESULTS Seven articles, published between 2004 and 2021, fulfilled the selection criteria. All of the studies were retrospective studies. Age, incidence of male patients, albumin, bilirubin, platelets, tumor size, incidence of multiple tumors, vascular invasion, bile duct invasion, lymph node metastases, and stage 4 disease were comparable between HCV+ and HCV- group. Alanine transaminase [MD 22.20, 95%confidence interval (CI): 13.75, 30.65, P < 0.00001] and aspartate transaminase levels (MD 27.27, 95%CI: 20.20, 34.34, P < 0.00001) were significantly higher in HCV+ group compared to HCV- group. Incidence of cirrhosis was significantly higher in HCV+ group [odds ratio (OR) 5.78, 95%CI: 1.38, 24.14, P = 0.02] compared to HCV- group. Incidence of poorly differentiated disease was significantly higher in HCV+ group (OR 2.55, 95%CI: 1.34, 4.82, P = 0.004) compared to HCV- group. Incidence of simultaneous hepatocellular carcinoma lesions was significantly higher in HCV+ group (OR 8.31, 95%CI: 2.36, 29.26, P = 0.001) compared to HCV- group. OS was significantly worse in the HCV+ group (hazard ratio 2.05, 95%CI: 1.46, 2.88, P < 0.0001) compared to HCV- group. CONCLUSION This meta-analysis demonstrated significantly worse OS in HCV+ patients with ICC who underwent curative resection compared to HCV- patients.
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Affiliation(s)
- Feng Yi Cheo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Kai Siang Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Vishal G Shelat
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
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Ding C, Jia J, Han L, Zhou W, Liu Z, Bai G, Wang Q. Developing and validating a nomogram based on skeletal muscle index and clinical scoring system for prediction of liver failure after hepatectomy. Front Oncol 2023; 13:1036921. [PMID: 36741004 PMCID: PMC9893412 DOI: 10.3389/fonc.2023.1036921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/05/2023] [Indexed: 01/20/2023] Open
Abstract
Background and objectives Hepatectomy is the preferred treatment for patients with liver tumors. Post-hepatectomy liver failure (PHLF) remains one of the most fatal postoperative complications. We aim to explore the risk factors of PHLF and create a nomogram for early prediction of PHLF. Methods We retrospectively analyzed patients undergoing hepatectomy at the Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University between 2015 and 2022, and the patients were divided into training and internal validation cohorts at an 8:2 ratio randomly. The patients undergoing liver resection from the Affiliated Huaian Hospital of Xuzhou Medical University worked as external validation. Then, a nomogram was developed which was based on multivariate analyses to calculate the risk of PHLF. The area under the ROC curve (AUROC) and Hosmer -Lemeshow test was used to evaluate the prediction effect of the model. Results A total of 421 eligible patients were included in our study. Four preoperative variables were identified after multivariate analysis as follows, ASA (American Society of Anesthesiologists) score, Child-Pugh score, SMI (Skeletal muscle index), and MELD (Model for end-stage liver disease) score as independent predictors of PHLF. The area under the ROC curve of the predictive model in the training, internal, and external validation cohorts were 0.89, 0.82, and 0.89. Hosmer -Lemeshow P values in the training, internal, and external validation cohorts were 0.91, 0.22, and 0.15. The Calibration curve confirmed that our nomogram prediction results were in accurate agreement with the actual occurrence of PHLF. Conclusion We construct a nomogram to predict the grade B/C PHLF of ISGLS (International Study Group of Liver Surgery) in patients who underwent hepatic resection based on risk factors. This tool can provide a visual and accurate preoperative prediction of the grade B/C PHLF and guide the next step of clinical decision-making.
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Affiliation(s)
- Cong Ding
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Jianye Jia
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Lei Han
- Department of Radiology, The Affiliated Huaian Hospital of Xuzhou Medical University, Huaian, Jiangsu, China
| | - Wei Zhou
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Ziyan Liu
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Genji Bai
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China,*Correspondence: Genji Bai,
| | - Qian Wang
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China
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Mahmud N, Panchal S, Turrentine FE, Kaplan DE, Zaydfudim VM. Performance of risk prediction models for post-operative mortality in patients undergoing liver resection. Am J Surg 2023; 225:198-205. [PMID: 35985849 PMCID: PMC9994627 DOI: 10.1016/j.amjsurg.2022.07.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/22/2022] [Accepted: 07/28/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Liver resection is commonly performed for hepatic tumors, however preoperative risk stratification remains challenging. We evaluated the performance of contemporary prediction models for short-term mortality after liver resection in patients with and without cirrhosis. METHODS This retrospective cohort study examined National Surgical Quality Improvement Program data. We included patients who underwent liver resections from 2014 to 2019. VOCAL-Penn, MELD, MELD-Na, ALBI, and Mayo risk scores were evaluated in terms of model discrimination and calibration for 30-day post-operative mortality. RESULTS A total 15,198 patients underwent liver resection, of whom 249 (1.6%) experienced 30-day post-operative mortality. The VOCAL-Penn score had the highest discrimination (area under the ROC curve [AUC] 0.74) compared to all other models. The VOCAL-Penn score similarly outperformed other models in patients with (AUC 0.70) and without (AUC 0.74) cirrhosis. CONCLUSION The VOCAL-Penn score demonstrated superior predictive performance for 30-day post-operative mortality after liver resection as compared to existing clinical standards.
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Affiliation(s)
- Nadim Mahmud
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Leonard David Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Sarjukumar Panchal
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Florence E Turrentine
- Department of Surgery, Surgical Outcomes Research Center, University of Virginia, Charlottesville, VA, USA
| | - David E Kaplan
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Victor M Zaydfudim
- Department of Surgery, Surgical Outcomes Research Center, University of Virginia, Charlottesville, VA, USA
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Predictors of Liver Failure in Non-Cirrhotic Patients Undergoing Hepatectomy. World J Surg 2022; 46:3081-3089. [PMID: 36209339 DOI: 10.1007/s00268-022-06742-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Post-hepatectomy liver failure (PHLF) is associated with high mortality following liver resection. There have been limited studies evaluating predictors of PHLF and clinically significant PHLF in non-cirrhotic patients. METHODS This was a retrospective cohort study using the National Surgical Quality Improvement Program database (NSQIP) to evaluate 8,093 non-cirrhotic patients undergoing hepatectomy from 2014 to 2018. Primary endpoints were PHLF and clinically significant PHLF (PHLF grade B or C). RESULTS Among all patients, 4.74% (n = 383) developed PHLF and 2.5% clinically significant PHLF (n = 203). The overall 30-day mortality was 1.35% (n = 109), 11.5% (n = 44) in patients with PHLF, and 19.2% in those with clinically significant PHLF. Factors associated with PHLF were: metastatic liver disease (OR = 1.84, CI = 1.14-2.98), trisectionectomy (OR = 3.71, CI = 2.59-5.32), right total lobectomy (OR = 4.17, CI = 3.06-5.68), transfusions (OR = 1.99, CI = 1.52-2.62), organ/space SSI (OR = 2.84, CI = 2.02-3.98), post-operative pneumonia (OR = 2.43, CI = 1.57-3.76), sepsis (OR = 2.27, CI = 1.47-3.51), and septic shock (OR = 5.67, CI = 3.43-9.36). Patients who developed PHLF or clinically significant PHLF had 2-threefold increased risk of perioperative mortality. Post-hepatectomy renal failure (OR = 8.47, CI = 3.96-18.1), older age (OR = 1.04, CI = 1.014-1.063), male sex (OR = 1.83, CI = 1.07-3.14), sepsis (OR = 2.96, CI = 1.22-7.2), and septic shock (OR = 3.92, CI = 1.61-9.58) were independently associated with 30-mortality in patients with clinically significant PHLF. CONCLUSION PHLF in non-cirrhotic patients increased the risk of perioperative mortality and is associated with the extent of hepatectomy and infectious complications. Careful evaluation of the liver remnant, antibiotic prophylaxis, nutritional assessment, and timely management of post-operative infections could decrease major morbidity and mortality following hepatectomy.
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Perioperative screening and management in elective complex hepatobiliary surgery. Curr Opin Crit Care 2022; 28:221-228. [PMID: 35131993 DOI: 10.1097/mcc.0000000000000922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW Preoperative optimization and structured evidence-based perioperative care of a patient undergoing complex hepatobiliary (HPB) surgery are essential components in their management. Apart from advances in surgical technique, these perioperative measures have resulted in substantial reductions in morbidity and mortality. There hence, remains a continued need to have evidence-based updation in their management algorithm to ensure optimal outcomes. RECENT FINDINGS We present an evidence-based overview of the preoperative screening, optimization and perioperative management of patients undergoing complex HPB surgery. SUMMARY Perioperative care of these fragile patients is an evidence-based dynamic process. Optimal patient management undergoing HPB surgery requires risk assessment and stratification, and meticulous attention to the correction of underlying conditions. Despite this, postoperative morbidity remains relatively high and requires a cohesive multidisciplinary approach to minimize complications.
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Soong RS, Chen YC, Chou TC, Chiang PH, Chen WM, Chiang MF, Shia BC, Wu SY. A Novel Predictive Scoring System for 90-Day Mortality among Patients with Hepatocellular Cell Carcinoma Receiving Major Hepatectomy. Cancers (Basel) 2022; 14:cancers14061398. [PMID: 35326550 PMCID: PMC8945917 DOI: 10.3390/cancers14061398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 02/28/2022] [Accepted: 03/07/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Hepatocellular carcinoma (HCC) is a major malignancy correlated with many cancer-related deaths. Surgical intervention provides superior long-term survival; however, perioperative mortality is a major concern for clinicians while making treatment decisions, especially for major hepatectomy. Scoring systems for predicting 90-day mortality in patients with HCC undergoing major hepatectomy are not available. By using the stepwise selection of the multivariate Cox proportional hazards model, we divided the patients with HCC receiving major hepatectomy into four risk groups. The Chang Gung-PohAi predictive scoring system showed significant differences in the 90-day mortality rate among the four risk groups (very low risk: 2.42%, low risk: 4.09%, intermittent risk: 17.1%, and high risk 43.6%). The Chang Gung-PohAi predictive scoring system is a promising tool for predicting 90-day perioperative mortality in patients with HCC undergoing major hepatectomy. Abstract Purpose: Hepatocellular carcinoma (HCC) is a major malignancy and the common cause of cancer-related deaths. Surgical intervention provides superior long-term survival outcomes; however, perioperative mortality is a major concern for clinicians while making treatment decisions, especially for major hepatectomy. Scoring systems for predicting 90-day mortality in patients with HCC undergoing major hepatectomy are not available. Methods: This study used the Taiwan Cancer Registry Database that is linked to the National Health Insurance Research Database to analyze data of 60,250 patients with HCC who underwent major hepatectomy and determine risk factors to establish a novel predictive scoring system. By using the stepwise selection of the multivariate Cox proportional hazards model, we divided the patients with HCC undergoing major hepatectomy into four risk groups. Results: The Chang Gung-PohAi predictive scoring system exhibited significant differences in the 90-day mortality rate among the four risk groups (very low risk: 2.42%, low risk: 4.09%, intermittent risk: 17.1%, and high risk: 43.6%). Conclusion: The Chang Gung-PohAi predictive scoring system is a promising tool for predicting 90-day perioperative mortality in patients with HCC undergoing major hepatectomy.
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Affiliation(s)
- Ruey-Shyang Soong
- Department of General Surgery, Chang Gung Memorial Hospital, Keelung 204, Taiwan; (R.-S.S.); (Y.-C.C.); (T.-C.C.); (P.-H.C.)
- Division of General Surgery, Chang Gung Medical College Taoyuan, Taoyuan 333, Taiwan
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Yi-Chan Chen
- Department of General Surgery, Chang Gung Memorial Hospital, Keelung 204, Taiwan; (R.-S.S.); (Y.-C.C.); (T.-C.C.); (P.-H.C.)
| | - Ta-Chun Chou
- Department of General Surgery, Chang Gung Memorial Hospital, Keelung 204, Taiwan; (R.-S.S.); (Y.-C.C.); (T.-C.C.); (P.-H.C.)
| | - Po-Hsing Chiang
- Department of General Surgery, Chang Gung Memorial Hospital, Keelung 204, Taiwan; (R.-S.S.); (Y.-C.C.); (T.-C.C.); (P.-H.C.)
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 242, Taiwan; (W.-M.C.); (B.-C.S.)
| | - Ming-Feng Chiang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan;
| | - Ben-Chang Shia
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 242, Taiwan; (W.-M.C.); (B.-C.S.)
- Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 242, Taiwan; (W.-M.C.); (B.-C.S.)
- Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242, Taiwan
- Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
- Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan
- Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 265, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
- Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan
- Correspondence:
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10
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Niederwieser T, Braunwarth E, Dasari BVM, Pufal K, Szatmary P, Hackl H, Haselmann C, Connolly CE, Cardini B, Öfner D, Roberts K, Malik H, Stättner S, Primavesi F. Early postoperative arterial lactate concentrations to stratify risk of post-hepatectomy liver failure. Br J Surg 2021; 108:1360-1370. [PMID: 34694377 DOI: 10.1093/bjs/znab338] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 09/02/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Post-hepatectomy liver failure (PHLF) represents the major determinant for death after liver resection. Early recognition is essential. Perioperative lactate dynamics for risk assessment of PHLF and associated morbidity were evaluated. METHODS This was a multicentre observational study of patients undergoing hepatectomy with validation in international high-volume units. Receiver operating characteristics analysis and cut-off calculation for the predictive value of lactate for clinically relevant International Study Group of Liver Surgery grade B/C PHLF (clinically relevant PHLF (CR-PHLF)) were performed. Lactate and other perioperative factors were assessed in a multivariable CR-PHLF regression model. RESULTS The exploratory cohort comprised 509 patients. CR-PHLF, death, overall morbidity and severe morbidity occurred in 7.7, 3.3, 40.9 and 29.3 per cent of patients respectively. The areas under the curve (AUCs) regarding CR-PHLF were 0.829 (95 per cent c.i. 0.770 to 0.888) for maximum lactate within 24 h (Lactate_Max) and 0.870 (95 per cent c.i. 0.818 to 0.922) for postoperative day 1 levels (Lactate_POD1). The respective AUCs in the validation cohort (482 patients) were 0.812 and 0.751 and optimal Lactate_Max cut-offs were identical in both cohorts. Exploration cohort patients with Lactate_Max 50 mg/dl or greater more often developed CR-PHLF (50.0 per cent) than those with Lactate_Max between 20 and 49.9 mg/dl (7.4 per cent) or less than 20 mg/dl (0.5 per cent; P < 0.001). This also applied to death (18.4, 2.7 and 1.4 per cent), severe morbidity (71.1, 35.7 and 14.1 per cent) and associated complications such as acute kidney injury (26.3, 3.1 and 2.3 per cent) and haemorrhage (15.8, 3.1 and 1.4 per cent). These results were confirmed in the validation group. Combining Lactate_Max with Lactate_POD1 further increased AUC (ΔAUC = 0.053) utilizing lactate dynamics for risk assessment. Lactate_Max, major resections, age, cirrhosis and chronic kidney disease were independent risk factors for CR-PHLF. A freely available calculator facilitates clinical risk stratification (www.liver-calculator.com). CONCLUSION Early postoperative lactate values are powerful, readily available markers for CR-PHLF and associated complications after hepatectomy with potential for guiding postoperative care.Presented in part as an oral video abstract at the 2020 online Congress of the European Society for Surgical Research and the 2021 Congress of the Austrian Surgical Society.
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Affiliation(s)
- Thomas Niederwieser
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Eva Braunwarth
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Bobby V M Dasari
- Department of Hepatobiliary, Pancreatic and Transplant Surgery, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - Kamil Pufal
- Department of Hepatobiliary, Pancreatic and Transplant Surgery, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - Peter Szatmary
- Department of Hepato-Biliary Surgery, University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Hubert Hackl
- Institute of Bioinformatics, Biocentre, Medical University of Innsbruck, Innsbruck, Austria
| | - Clemens Haselmann
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Catherine E Connolly
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Benno Cardini
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Dietmar Öfner
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Keith Roberts
- Department of Hepatobiliary, Pancreatic and Transplant Surgery, Queen Elizabeth Hospital Birmingham, Birmingham, UK
| | - Hassan Malik
- Department of Hepato-Biliary Surgery, University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Stefan Stättner
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria.,Department of General, Visceral and Vascular Surgery, Salzkammergut Klinikum, Vöcklabruck, Austria
| | - Florian Primavesi
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria.,Department of Hepato-Biliary Surgery, University Hospital Aintree, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.,Department of General, Visceral and Vascular Surgery, Salzkammergut Klinikum, Vöcklabruck, Austria
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11
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Pang Q, Zhou S, Liu S, Liu H, Lu Z. Prognostic role of preoperative albumin-bilirubin score in posthepatectomy liver failure and mortality: a systematic review and meta-analysis. Updates Surg 2021; 74:821-831. [PMID: 34013432 DOI: 10.1007/s13304-021-01080-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/03/2021] [Indexed: 01/27/2023]
Abstract
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.
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Affiliation(s)
- Qing Pang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Shuai Zhou
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Shuangchi Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Huichun Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China. .,Department of General Surgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, 230041, China.
| | - Zheng Lu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China.
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Yin Y, Cheng JW, Chen FY, Chen XX, Zhang X, Huang A, Guo DZ, Wang YP, Cao Y, Fan J, Zhou J, Yang XR. A novel preoperative predictive model of 90-day mortality after liver resection for huge hepatocellular carcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:774. [PMID: 34268387 PMCID: PMC8246173 DOI: 10.21037/atm-20-7842] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 02/28/2021] [Indexed: 01/27/2023]
Abstract
BACKGROUND Hepatectomy for huge hepatocellular carcinoma (HCC) (diameter ≥10 cm) is characterized by high mortality. This study aimed to establish a preoperative model to evaluate the risk of postoperative 90-day mortality for huge HCC patients. METHODS We retrospectively enrolled 1,127 consecutive patients and prospectively enrolled 93 patients with huge HCC who underwent hepatectomy (training cohort, n=798; validation cohort, n=329; prospective cohort, n=93) in our institute. Based on independent preoperative predictors of 90-day mortality, we established a logistic regression model and visualized the model by nomogram. RESULTS The 90-day mortality rates were 9.6%, 9.2%, and 10.9% in the training, validation, and prospective cohort. The α-fetoprotein (AFP) level, the prealbumin levels, and the presence of portal vein tumor thrombosis (PVTT) were preoperative independent predictors of 90-day mortality. A logistic regression model, AFP-prealbumin-PVTT score (APP score), was subsequently established and showed good performance in predicting 90-day mortality (training cohort, AUC =0.87; validation cohort, AUC =0.91; prospective cohort, AUC =0.93). Using a cut-off of -1.96, the model could stratify patients into low risk (≤-1.96) and high risk (>-1.96) with different 90-day mortality rates (~30% vs. ~2%). Furthermore, the predictive performance for 90-day mortality and overall survival was significantly superior to the Child-Pugh score, the model of end-stage liver disease (MELD) score, and the albumin-bilirubin (ALBI) score. CONCLUSIONS The APP score can precisely predict postoperative 90-day mortality as well as long-term survival for patients with huge HCC, assisting physician selection of suitable candidates for liver resection and improving the safety and efficacy of surgical treatment.
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Affiliation(s)
- Yue Yin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-Wen Cheng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fei-Yu Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xu-Xiao Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yu-Peng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ya Cao
- Cancer Research Institute, Central South University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Biomedical Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
- Institute of Biomedical Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education; Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
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