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Nishio T, Taura K, Koyama Y, Ishii T, Hatano E. Current status of preoperative risk assessment for posthepatectomy liver failure in patients with hepatocellular carcinoma. Ann Gastroenterol Surg 2023; 7:871-886. [PMID: 37927928 PMCID: PMC10623981 DOI: 10.1002/ags3.12692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/08/2023] [Accepted: 05/03/2023] [Indexed: 11/07/2023] Open
Abstract
Liver resection is an effective therapeutic option for patients with hepatocellular carcinoma. However, posthepatectomy liver failure (PHLF) remains a major cause of hepatectomy-related mortality, and the accurate prediction of PHLF based on preoperative assessment of liver functional reserve is a critical issue. The definition of PHLF proposed by the International Study Group for Liver Surgery has gained acceptance as a standard grading criterion. Liver function can be estimated using a variety of parameters, including routine blood biochemical examinations, clinical scoring systems, dynamic liver function tests, liver stiffness and fibrosis markers, and imaging studies. The Child-Pugh score and model for end-stage liver disease scores are conventionally used for estimating liver decompensation, although the alternatively developed albumin-bilirubin score shows superior performance for predicting hepatic dysfunction. Indocyanine green clearance, a dynamic liver function test mostly used in Japan and other Asian countries, serves as a quantitative estimation of liver function reserve and helps determine indications for surgical procedures according to the estimated risk of PHLF. In an attempt to improve predictive accuracy, specific evaluation of liver fibrosis and portal hypertension has gained popularity, including liver stiffness measurements using ultrasonography or magnetic resonance elastography, as well as noninvasive fibrosis markers. Imaging modalities, including Tc-99m-labeled galactosyl serum albumin scintigraphy and gadolinium-enhanced magnetic resonance imaging, are used for preoperative evaluation in combination with liver volume. This review aims to provide an overview of the usefulness of current options for the preoperative assessment of liver function in predicting PHLF.
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Affiliation(s)
- Takahiro Nishio
- Department of Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Kojiro Taura
- Department of Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
- Department of Gastroenterological Surgery and OncologyKitano HospitalOsakaJapan
| | - Yukinori Koyama
- Department of Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takamichi Ishii
- Department of Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Etsuro Hatano
- Department of Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
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Zhou J, Yang D. Prognostic Significance of Hemoglobin, Albumin, Lymphocyte and Platelet (HALP) Score in Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:821-831. [PMID: 37288141 PMCID: PMC10243610 DOI: 10.2147/jhc.s411521] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/24/2023] [Indexed: 06/09/2023] Open
Abstract
Purpose HALP score consisting of hemoglobin content, albumin content, lymphocyte count, and platelet count can comprehensively evaluate the inflammatory response and nutritional status. Many researchers have indicated that the HALP score is an effective predictor of the overall prognosis of various tumors. However, there is no relevant research to suggest whether the HALP score can predict the prognosis of patients with hepatocellular carcinoma (HCC). Patients and Methods We retrospectively analyzed 273 HCC patients who underwent surgical resection. Hemoglobin content, albumin content, lymphocyte count, and platelet count in peripheral blood were measured for each patient. The relationship between the HALP score and overall survival (OS) was investigated. Results With a mean of 56.69 ± 1.25 months follow-up, the 1-, 3-, and 5-year OS was 98.9%, 76.9%, and 55.3% for all patients, respectively. HALP scores (HR=1.708, 95% CI=1.192-2.448, P=0.004) were significant independent risk factors of OS. The 1-, 3-, and 5-year OS were 99.3%, 84.3%, and 63.4% for patients with high HALP scores; and 98.6%, 69.8%, and 47.5% for patients with low HALP scores, respectively (P=0.018). In TNM I-II stage patients, compared with high HALP scores, low HALP scores have worse OS (P=0.039). In AFP positive patients, compared with high HALP scores, low HALP scores have worse OS (P=0.042). Conclusion Our research showed the preoperative HALP score is an independent predictive factor of overall prognosis, and a low HALP score indicates a worse prognosis in HCC patients who underwent surgical resection.
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Affiliation(s)
- Jing Zhou
- Department of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Daofeng Yang
- Department of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
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Peng Y, Shen H, Tang H, Huang Y, Lan X, Luo X, Zhang X, Zhang J. Nomogram based on CT-derived extracellular volume for the prediction of post-hepatectomy liver failure in patients with resectable hepatocellular carcinoma. Eur Radiol 2022; 32:8529-8539. [PMID: 35678856 DOI: 10.1007/s00330-022-08917-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/19/2022] [Accepted: 05/30/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVES This study aimed to develop and validate a nomogram based on extracellular volume (ECV) derived from computed tomography (CT) for predicting post-hepatectomy liver failure (PHLF) in patients with resectable hepatocellular carcinoma (HCC). METHODS A total of 202 patients with resectable HCC from two hospitals were enrolled and underwent multiphasic contrast-enhanced CT before surgery. One hundred twenty-one patients from our hospital and 81 patients from another hospital were assigned to the training cohort and the validation cohort, respectively. CT-derived ECV was measured using nonenhanced and equilibrium-phase-enhanced CT images. The nomogram was developed with independent predictors of PHLF. Predictive performance and calibration were assessed by receiver operator characteristic (ROC) analysis and Hosmer-Lemeshow test, respectively. The Delong test was used to compare the areas under the curve (AUCs). RESULTS CT-derived ECV had a strong correlation with the postoperative pathological fibrosis stage of the background liver (p < 0.001, r = 0.591). The nomogram combining CT-derived ECV, serum albumin (Alb), and serum total bilirubin (Tbil) obtained higher AUCs than the albumin-bilirubin (ALBI) score for predicting PHLF in both the training cohort (0.828 vs. 0.708; p = 0.004) and the validation cohort (0.821 vs. 0.630; p < 0.001). The nomogram showed satisfactory goodness of fit for PHLF prediction in the training and validation cohorts (p = 0.621 and 0.697, respectively). CONCLUSIONS The nomogram contributes to the preoperative prediction of PHLF in patients with resectable HCC. KEY POINTS • CT-derived ECV had a strong correlation with the postoperative pathological fibrosis stage of the background liver. • CT-derived ECV was an independent predictor of PHLF in patients with resectable HCC. • The nomogram based on CT-derived ECV showed a superior prediction efficacy than that of clinical models (including Child-Pugh stage, MELD score, and ALBI score).
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Affiliation(s)
- Yangling Peng
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, People's Republic of China
| | - Hesong Shen
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, People's Republic of China
| | - Hao Tang
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, People's Republic of China
| | - Yuanying Huang
- Department of Hematology, Chongqing General Hospital, University of the Chinese Academy of Sciences, Chongqing, People's Republic of China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, People's Republic of China
| | - Xianzhang Luo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital, Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing, People's Republic of China
| | - Xiaoyue Zhang
- Siemens Healthineers, Xi'an, People's Republic of China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, People's Republic of China.
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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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Yanagaki M, Shirai Y, Hamura R, Taniai T, Tanji Y, Haruki K, Furukawa K, Onda S, Shiba H, Ikegami T. Novel combined fibrosis-based index predicts the long-term outcomes of hepatocellular carcinoma after hepatic resection. Int J Clin Oncol 2022; 27:717-728. [PMID: 35015195 DOI: 10.1007/s10147-021-02111-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/26/2021] [Indexed: 11/26/2022]
Abstract
AIM Liver fibrosis influences liver regeneration and surgical outcomes. The fibrosis-4 (FIB-4) index is strongly associated with liver fibrosis and cirrhosis. This study aimed to examine the prognostic significance of the combination of FIB-4 index and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) (PIVKA-II-FIB-4 index score) in patients who underwent curative resection for hepatocellular carcinoma (HCC). METHODS We included 284 patients who underwent elective hepatic resection for HCC between January 2000 and December 2018. We retrospectively investigated how FIB-4 index is related to disease-free survival and overall survival. RESULTS According to a receiver operating characteristic (ROC) analysis, the optimal cutoff value of the FIB-4 index was 3.44. In a multivariate analysis, high PIVKA-II and FIB-4 index values were independent predictors of both disease-free survival (P = 0.013 and P = 0.005, respectively) and overall survival (P = 0.048 and P < 0.001, respectively). We classified the PIVKA-II and FIB-4 index levels into two groups (high vs. low) and calculated a new score (PIVKA-II-FIB-4 index score; 0-2) by the sum of each measurement (high, 1; low, 0). The 5 year overall survival rates of patients with PIVKA-II-FIB-4 index scores of 0, 1, and 2 were 84.9, 74.4, and 47.1%, respectively (P < 0.001). CONCLUSION The combination of the preoperative PIVKA-II and FIB-4 index may be a prognostic factor of HCC after hepatic resection, suggesting that the combined score is useful in assessing the liver fibrosis status in cancer cases.
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Affiliation(s)
- Mitsuru Yanagaki
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Yoshihiro Shirai
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
| | - Ryoga Hamura
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Tomohiko Taniai
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Yoshiaki Tanji
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Koichiro Haruki
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Kenei Furukawa
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Shinji Onda
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Hiroaki Shiba
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Toru Ikegami
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan
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Yoshino K, Yoh T, Taura K, Seo S, Ciria R, Briceño-Delgado J. A systematic review of prediction models for post-hepatectomy liver failure in patients undergoing liver surgery. HPB (Oxford) 2021; 23:1311-1320. [PMID: 34090805 DOI: 10.1016/j.hpb.2021.05.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/02/2021] [Accepted: 05/11/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND The aim of this systematic review is to evaluate the current evidence in the context of clinical prediction model for post-hepatectomy liver failure (PHLF). METHODS A systematic search of the English literature for a period from December 2005 to September 2020 was conducted. Primary outcome was defined using the three common PHLF criteria (50-50 criteria, peak bilirubin>7 mg/dl criteria, and ≥ grade B PHLF criteria by the International Study Group of Liver Surgery). Studies that reported the value of area under receiver operative characteristic curve (AUC) for the occurrence of PHLF were included. RESULTS Twenty eight of 1327 screened articles were eligible for inclusion. Eighteen studies developed the prediction models. The median AUC was found to be 0.79 (0.65-0.933). The parameters related to the amount of future liver remnant volume were most commonly identified as significant predictors for PHLF in statistical analysis (24 studies) and were most frequently incorporated in the prediction models (18 studies). The parameters associated with portal hypertension were significant for predicting PHLF in 16 studies and were adopted in the prediction models in 14 studies. CONCLUSION Parameters related to future liver remnant volume and portal hypertension seem to be facilitating in predicting PHLF.
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Affiliation(s)
- Kenji Yoshino
- Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Surgery, University Hospital Reina Sofía, Córdoba, Spain
| | - Tomoaki Yoh
- Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kojiro Taura
- Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Satoru Seo
- Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ruben Ciria
- Department of Surgery, University Hospital Reina Sofía, Córdoba, Spain
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The role of fibrosis index FIB-4 in predicting liver fibrosis stage and clinical prognosis: A diagnostic or screening tool? J Formos Med Assoc 2021; 121:454-466. [PMID: 34325952 DOI: 10.1016/j.jfma.2021.07.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/09/2021] [Accepted: 07/12/2021] [Indexed: 12/14/2022] Open
Abstract
This review evaluates the ability of the fibrosis index based on four factors (FIB-4) identifying fibrosis stages, long-time prognosis in chronic liver disease, and short-time outcomes in acute liver injury. FIB-4 was accurate in predicting the absence or presence of advanced fibrosis with cut-offs of 1.0 and 2.65 for viral hepatitis B, 1.45 and 3.25 for viral hepatitis C, 1.30 (<65 years), 2.0 (≥65 years), and 2.67 for non-alcoholic fatty liver disease (NAFLD), respectively, but had a low-to-moderate accuracy in alcoholic liver disease (ALD) and autoimmune hepatitis. It performed better in excluding fibrosis, so we built an algorithm for identifying advanced fibrosis by combined methods and giving work-up and follow-up suggestions. High FIB-4 in viral hepatitis, NAFLD, and ALD was associated with significantly high hepatocellular carcinoma incidence and mortality. Additionally, FIB-4 showed the ability to predict high-risk varices with cut-offs of 2.87 and 3.91 in cirrhosis patients and predict long-term survival in hepatocellular carcinoma patients after hepatectomy. In acute liver injury caused by COVID-19, FIB-4 had a predictive value for mechanical ventilation and 30-day mortality. Finally, FIB-4 may act as a screening tool in the secondary prevention of NAFLD in the high-risk population.
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