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Del Cioppo S, Faccioli J, Ridola L. Hepatic cirrhosis and decompensation: Key indicators for predicting mortality risk. World J Hepatol 2025; 17:104580. [DOI: 10.4254/wjh.v17.i3.104580] [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: 12/24/2024] [Revised: 02/28/2025] [Accepted: 03/10/2025] [Indexed: 03/26/2025] Open
Abstract
Liver cirrhosis represents the final stage of liver diseases. The transition from the compensated to the decompensated form is a critical phase, as it is associated with a negative impact on patient prognosis. Therefore, having a tool to identify patients at higher risk of complications and mortality is an ideal goal. Currently, the validated scores for this purpose are the model for end-stage liver disease score and the Child-Pugh score. However, these scores have limitations, as they do not account for other factors associated with liver cirrhosis that are equally relevant from a prognostic perspective. Among these, alterations in body composition, particularly sarcopenia, increase the risk of mortality and should therefore be considered in the comprehensive assessment of patients with liver cirrhosis.
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Affiliation(s)
- Sara Del Cioppo
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome 00185, Italy
| | - Jessica Faccioli
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome 00185, Italy
| | - Lorenzo Ridola
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome 00185, Italy
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Melgar P, Villodre C, Alcázar C, Franco M, Rubio JJ, Zapater P, Más P, Pascual S, Rodríguez-Laiz GP, Ramia JM. Factors predicting lower hospital stay after liver transplantation using a comprehensive enhanced recovery after surgery (ERAS) protocol. HPB (Oxford) 2025:S1365-182X(25)00076-0. [PMID: 40122765 DOI: 10.1016/j.hpb.2025.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Revised: 02/27/2025] [Accepted: 03/01/2025] [Indexed: 03/25/2025]
Abstract
INTRODUCTION Enhanced recovery after surgery (ERAS) protocols facilitate patient recovery without increasing complication rates. An ERAS protocol designed for our liver transplant (LT) patients obtained a median hospital length of stay (LOS) of 4 days. However, a proportion of patients do not achieve early discharge. This study aimed to identify factors that predict an LOS≤ 4 days. METHODS Identifying factors associated with LOS <4 days in our LT patients. RESULTS We performed 293 LTs (2012-2021), LOS≤4 days in 171 (58.4 %). The following factors emerged as statistically predictors of LOS≤4 days in the univariate analysis: male sex, HCC or HCV patients, lower MELD score, lower BAR score, no DCD patients, shorter operative time, no intraoperative transfusion, shorter ICU stay, no Clavien-Dindo complications grade ≥ III, no primary graft dysfunction, no acute rejection, no readmission at 30 days and no retransplantation were associated to LOS≤4 days. However, in the multivariate analysis, the only independent risk factor that predicted LOS≤4 days was the presence of hepatocarcinoma. DCD donors and higher MELD score were negative factors. CONCLUSIONS Applying ERAS programs in LT patients is beneficial, safe and extensible to all patients, but those with hepatocarcinoma obtain higher rates of LOS≤4 days.
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Affiliation(s)
- Paola Melgar
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; University Miguel Hernandez, Alicante, Spain
| | - Celia Villodre
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; University Miguel Hernandez, Alicante, Spain
| | - Cándido Alcázar
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; University Miguel Hernandez, Alicante, Spain.
| | - Mariano Franco
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain
| | - Juan J Rubio
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain
| | - Pedro Zapater
- Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; Department of Pharmacy, Unit of Pharmacokinetics and Clinical Pharmacology, General University Hospital of Alicante Dr. Balmis, Spain
| | - Patricio Más
- Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; Department of Pharmacy, Unit of Pharmacokinetics and Clinical Pharmacology, General University Hospital of Alicante Dr. Balmis, Spain
| | - Sonia Pascual
- Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; Department of Gastroenterology, Hepatology Unit, General University Hospital of Alicante Dr. Balmis, Spain
| | - Gonzalo P Rodríguez-Laiz
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain
| | - José M Ramia
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Department of Surgery, General University Hospital of Alicante Dr. Balmis, Alicante, Spain; Health and Biomedical Research Institute of Alicante (ISABIAL), Alicante, Spain; University Miguel Hernandez, Alicante, Spain
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Peng TR, Wu CC, Hsiao JK, Chou YC, Liao YL, Chen YC, Shao PJ, Wu TW, Hsu CS. Integrating Muscle Depletion with Barcelona Clinic Liver Cancer Staging to Predict Overall Survival in Hepatocellular Carcinoma. Cancers (Basel) 2024; 17:24. [PMID: 39796655 PMCID: PMC11718866 DOI: 10.3390/cancers17010024] [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: 11/24/2024] [Revised: 12/17/2024] [Accepted: 12/20/2024] [Indexed: 01/13/2025] Open
Abstract
BACKGROUND Muscle depletion (MD) is a critical factor that influences clinical outcomes in patients with hepatocellular carcinoma (HCC). Although its role in cancer prognosis is recognized, its integration into widely used prognostic systems remains underexplored. This study aimed to evaluate the prognostic impact of MD on overall survival (OS) in HCC patients and to improve existing noninvasive prognostic models by incorporating MD-related metrics. METHODS A retrospective analysis was conducted on 1072 HCC patients treated at Taipei Tzu Chi Hospital between January 2006 and December 2016. All patients had follow-up data and computed tomography (CT) scans at vertebral level L3 for MD evaluation. Independent prognostic factors for OS were identified using Cox proportional hazards models, and the predictive performance of various prognostic models was assessed through the area under the receiver operating characteristic curve (AUROC). RESULTS The key independent predictors of OS in HCC patients included hepatitis B virus infection, hepatitis C virus infection, liver cirrhosis, tumor size, serum alpha-fetoprotein levels, and MD-related metrics (psoas muscle-to-spine ratio, psoas muscle-to-vertebral ratio, and myosteatosis). Among existing models, the Barcelona Clinic Liver Cancer (BCLC) stage, the Child-Turcotte-Pugh (CTP) class, and the albumin-bilirubin (ALBI) grade demonstrated robust predictive performance for OS. However, incorporating MD significantly improved the predictive accuracy of these models, with the MD-BCLC model showing the highest AUROC (0.804, 95% CI: 0.777-0.832, p < 0.001). CONCLUSIONS MD is an independent and significant prognostic predictor for patients with HCC. Integrating MD metrics into established systems, particularly the BCLC staging system, markedly improves OS prediction, providing a more comprehensive tool for clinical decision-making in the management of HCC.
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Affiliation(s)
- Tzu-Rong Peng
- Department of Pharmacy, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan; (T.-R.P.); (T.-W.W.)
| | - Chao-Chuan Wu
- Department of Surgery, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan; (C.-C.W.); (Y.-C.C.)
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan;
| | - Jong-Kai Hsiao
- Department of Medical Imaging, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan;
| | - Yi-Chun Chou
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan;
- Division of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi 62247, Taiwan
| | - Yuan-Ling Liao
- Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan;
| | - Yen-Chih Chen
- Department of Surgery, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan; (C.-C.W.); (Y.-C.C.)
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan;
| | - Pei-Jung Shao
- Medical and Pharmaceutical Industry Technology and Development Center, New Taipei City 23142, Taiwan;
| | - Ta-Wei Wu
- Department of Pharmacy, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan; (T.-R.P.); (T.-W.W.)
| | - Ching-Sheng Hsu
- Division of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi 62247, Taiwan
- Division of Gastroenterology, Department of Internal Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung City 42743, Taiwan
- School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien 97004, Taiwan
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Hudson D, Valentin Cortez FJ, León IHDD, Malhi G, Rivas A, Afzaal T, Rad MR, Diaz LA, Khan MQ, Arab JP. Advancements in MELD Score and Its Impact on Hepatology. Semin Liver Dis 2024. [PMID: 39515784 DOI: 10.1055/a-2464-9543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
There continues to be an ongoing need for fair and equitable organ allocation. The Model for End-Stage Liver Disease (MELD) score has evolved as a calculated framework to evaluate and allocate patients for liver transplantation objectively. The original MELD score has undergone multiple modifications as it is continuously scrutinized for its accuracy in objectively representing the clinical context of patients with liver disease. Several refinements and iterations of the score have been developed, including the widely accepted MELD-Na score. In addition, the most recent updated iteration, MELD 3.0, has been created. The MELD 3.0 calculator incorporates new variables such as patient sex and serum albumin levels and assigns new weights for serum sodium, bilirubin, international normalized ratio, and creatinine levels. It is anticipated that the use of MELD 3.0 scores will reduce overall waitlist mortality and enhance access for female liver transplant candidates. However, despite the emergence of the MELD score as one of the most objective measures for fair organ allocation, various countries and healthcare systems employ alternative methods for stratification and organ allocation. This review article will highlight the origins of the MELD score, its iterations, the current MELD 3.0, and future directions for managing liver transplantation organ allocation. LAY SUMMARY: Organ donation is crucial for the management of patients unwell with liver disease, but organs must be allocated fairly and equitably. One method used for this is the Model for End-Stage Liver Disease (MELD) score, which helps objectively decide which patient is a candidate for liver transplant. Over time, the MELD score has been refined to better reflect patients' needs. For example, the latest version, MELD 3.0, now considers factors like nutrition and gender. This should ensure that more patients, especially females, are candidates and receive appropriate access to liver transplantation. However, not every country uses the MELD score. Some countries have created their own scoring systems based on local research. This review will explain where the MELD score came from, how it has changed, the current characteristics of the MELD 3.0 score, and what the future might hold for organ allocation in liver transplants.
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Affiliation(s)
- David Hudson
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
| | | | - Ivonne Hurtado Díaz de León
- Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Gurpreet Malhi
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
| | - Angelica Rivas
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tamoor Afzaal
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
| | - Mahsa Rahmany Rad
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
| | - Luis Antonio Diaz
- Departamento de Gastroenterología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
- Division of Gastroenterology and Hepatology, MASLD Research Center, University of California San Diego, San Diego, California
| | - Mohammad Qasim Khan
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Juan Pablo Arab
- Departamento de Gastroenterología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia
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Yan Q, Zhang J, Chen R, Zhang J, Zhou R. Percutaneous Transhepatic Cholangioscopy in Hepatolithiasis Associated With Decompensated Cirrhosis: A Retrospective Cohort Study. J Evid Based Med 2024; 17:843-850. [PMID: 39722153 DOI: 10.1111/jebm.12673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 11/25/2024] [Accepted: 12/16/2024] [Indexed: 12/28/2024]
Abstract
BACKGROUND Multiple and complicated hepatolithiasis can be associated with decompensated cirrhosis. Endoscopic retrograde cholangiopancreatography is unavailable for multiple and complicated hepatolithiasis, and the mainstay for decompensated cirrhosis is liver transplantation. However, due to the ethical factors and the complexity of operation, liver transplantation cannot be widely operated. This study aimed to evaluate percutaneous transhepatic cholangioscopy in the extraction of stones and the recompensation of cirrhosis in patients with hepatolithiasis associated with decompensated cirrhosis. METHODS Between January 2021 and February 2024, we retrospectively reviewed the clinical data of 21 patients with multiple and complicated hepatolithiasis associated with decompensated cirrhosis. Before PTCS, the 21 patients were all assessed by the Model for End-stage Liver Disease as having indications for liver transplantation. One-step PTCS (n = 19) and two-step PTCS (n = 2) were used to remove the stones. RESULTS The technical success rate was 100%, and most stones were cleared 90.48% (19/21). After 3 months of PTCS, MELD score of the patients had significantly decreased (10.81 ± 3.31 vs. 17.24 ± 3.40, p < 0.05), and it was lowest at 6 months after the operation (9.94 ± 4.31). After a median follow-up period of 18 months (up to 40 months), the stone recurrence rate was 28.57% (6/21), 13 patients survived without liver transplantation, three patients underwent liver transplantation and survived, and five patients died of liver failure or cancer (mortality rate 23.81%). CONCLUSIONS PTCS can significantly improve patients' liver function in hepatolithiasis associated with decompensated cirrhosis.
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Affiliation(s)
- Qianyu Yan
- Research Center of Biliary Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Zhang
- Research Center of Biliary Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Chen
- Research Center of Biliary Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Jingyi Zhang
- Department of Ultrasonography, West China Hospital, Sichuan University, Chengdu, China
| | - Rongxing Zhou
- Research Center of Biliary Disease, West China Hospital, Sichuan University, Chengdu, China
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Zhai Y, Hai D, Zeng L, Lin C, Tan X, Mo Z, Tao Q, Li W, Xu X, Zhao Q, Shuai J, Pan J. Artificial intelligence-based evaluation of prognosis in cirrhosis. J Transl Med 2024; 22:933. [PMID: 39402630 PMCID: PMC11475999 DOI: 10.1186/s12967-024-05726-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 10/02/2024] [Indexed: 10/19/2024] Open
Abstract
Cirrhosis represents a significant global health challenge, characterized by high morbidity and mortality rates that severely impact human health. Timely and precise prognostic assessments of liver cirrhosis are crucial for improving patient outcomes and reducing mortality rates as they enable physicians to identify high-risk patients and implement early interventions. This paper features a thorough literature review on the prognostic assessment of liver cirrhosis, aiming to summarize and delineate the present status and constraints associated with the application of traditional prognostic tools in clinical settings. Among these tools, the Child-Pugh and Model for End-Stage Liver Disease (MELD) scoring systems are predominantly utilized. However, their accuracy varies significantly. These systems are generally suitable for broad assessments but lack condition-specific applicability and fail to capture the risks associated with dynamic changes in patient conditions. Future research in this field is poised for deep exploration into the integration of artificial intelligence (AI) with routine clinical and multi-omics data in patients with cirrhosis. The goal is to transition from static, unimodal assessment models to dynamic, multimodal frameworks. Such advancements will not only improve the precision of prognostic tools but also facilitate personalized medicine approaches, potentially revolutionizing clinical outcomes.
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Affiliation(s)
- Yinping Zhai
- Department of Gastroenterology Nursing Unit, Ward 192, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Darong Hai
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Li Zeng
- The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, 325000, China
| | - Chenyan Lin
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Xinru Tan
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China
| | - Zefei Mo
- School of Biomedical Engineering, School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325000, China
| | - Qijia Tao
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Wenhui Li
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Xiaowei Xu
- Department of Gastroenterology Nursing Unit, Ward 192, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Qi Zhao
- School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, China.
| | - Jianwei Shuai
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, China.
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Wenzhou, 325000, China.
| | - Jingye Pan
- Department of Big Data in Health Science, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, 325000, China.
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, 325000, China.
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Qiao X, Wang Z, Zhang X, Chen W, Wang L, Chen YW. Whole-liver histogram analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging for predicting progression in patients with cirrhosis. Quant Imaging Med Surg 2024; 14:6072-6086. [PMID: 39144000 PMCID: PMC11320508 DOI: 10.21037/qims-24-109] [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: 01/18/2024] [Accepted: 07/01/2024] [Indexed: 08/16/2024]
Abstract
Background Liver cirrhosis, as the terminal phase of chronic liver disease fibrosis, is associated with high morbidity and mortality. Traditional methods for assessing liver function, such as clinical scoring systems, offer only a global evaluation and may not accurately reflect regional liver function variations. This study aimed at evaluating the diagnostic potential of whole-liver histogram analysis of gadobenate dimeglumine (Gd-BOPTA)-enhanced magnetic resonance imaging (MRI) for predicting the progression of cirrhosis. Methods In this retrospective study, 265 consecutive patients with cirrhosis admitted to the Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University from August 2012 to September 2019 were enrolled. After the exclusion criteria were applied, 117 patients (84 males and 33 females) were divided into Child-Pugh A cirrhosis (n=43), Child-Pugh B cirrhosis (n=49), and Child-Pugh C cirrhosis (n=25). After correction for liver signal intensity with the spleen was completed, 19 histogram features of the whole liver were extracted and modeled to evaluate liver function, with the Child-Pugh class being incorporated as a clinical parameter. Receiver operating characteristic (ROC) curves were used to assess the diagnosis capability and determine the optimal cutoffs after a mean follow-up of 42.3±19.1 (range, 8-93) months. The association between significant histogram features and the cumulative incidence of hepatic insufficiency was analyzed with the adjusted Kaplan-Meier curve model. Results Among 117 patients (12%), 14 developed hepatic insufficiency through a period of follow-up. Five features, including the median (P<0.01), 90th percentile (P<0.01), root mean squared (P<0.01), mean (P<0.01), and 10th percentile (P<0.05), were significantly different between the groups with and without hepatic insufficiency according to the Kruskal-Wallis test; in the ROC curve analysis, the area under the curve (AUC) of these features was 0.723 [95% confidence interval (CI): 0.653-0.793], 0.722 (95% CI: 0.652-0.792), 0.722 (95% CI: 0.652-0.792), 0.721 (95% CI: 0.651-0.791), and 0.674 (95% CI: 0.600-0.748) after correction, respectively (all P values <0.05). Median, 90th percentile, root mean squared, and mean were found to be significant factors in predicting liver insufficiency. The adjusted Kaplan-Meier curves revealed that patients with a feature level less than the cutoff, as compared to those with a level above the cutoff, showed a statistically shorter progression-free survival and higher incidences of hepatic insufficiency for significant features of median (cutoff =26.001; 21.28% versus 5.71%; P=0.02), 90th percentile (cutoff =86.263; 20.41% versus 5.88%; P<0.01), root mean squared (cutoff =1,028.477; 19.15% versus 7.14%; P=0.049), and mean (cutoff =27.484; 19.15% versus 7.14%; P=0.049). Patients with a 10th percentile less than -39.811 also showed a higher cumulative incidence of hepatic insufficiency than did those with a value higher than the cutoff (0.18% versus 7.46%; P=0.22). Conclusions Whole-liver histogram analysis of Gd-BOPTA-enhanced MRI may serve as a noninvasive analytical method to predict hepatic insufficiency in patients with cirrhosis.
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Affiliation(s)
- Xu Qiao
- Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China
| | - Zirui Wang
- Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan, China
| | - Xianru Zhang
- Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China
| | - Wei Chen
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, China
| | - Li Wang
- Department of Health Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yen-Wei Chen
- Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan
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Eshkiki ZS, Gholami M, Kadkhodaei A, Shayesteh AA. Prognostic indicators and risk factors for the in-hospital mortality rate of patients with cirrhosis. INTERNATIONAL JOURNAL OF GASTROINTESTINAL INTERVENTION 2024; 13:91-97. [DOI: 10.18528/ijgii240032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/12/2024] [Accepted: 07/05/2024] [Indexed: 01/04/2025] Open
Affiliation(s)
- Zahra Shokati Eshkiki
- Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mobin Gholami
- Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ahmad Kadkhodaei
- Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ali Akbar Shayesteh
- Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Lin H, Loi PL, Ng J, Shen L, Teo W, Chung A, Raj P, Chang JP. MELD3.0 is superior to MELDNa and MELD for prediction of mortality in patients with cirrhosis: An external validation in a multi-ethnic population. JGH Open 2024; 8:e13098. [PMID: 38832135 PMCID: PMC11144281 DOI: 10.1002/jgh3.13098] [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: 01/18/2024] [Revised: 03/08/2024] [Accepted: 05/08/2024] [Indexed: 06/05/2024]
Abstract
Background and Aim The model for end-stage liver disease (MELD) was updated to MELDNa and recently to MELD3.0 to predict survival of cirrhotic patients. We validated the prognostic performance of MELD3.0 and compared with MELDNa and MELD amongst cirrhotic inpatients. Methods Demographical, clinical, biochemical, and survival data of cirrhotic inpatients in Singapore General Hospital (SGH) from 01 January 2018 to 31 December 2018, were studied retrospectively. Patients were followed up from first admission in 2018 until death or until 01 April 2023. Area under the receiver operating characteristic curves (AUROC) were computed for the discriminative effects of MELD3.0, MELDNa, and MELD to predict 30-, 90-, and 365-day mortalities. AUROC was compared with DeLong's test. The cutoff MELD3.0 score for patients at high risk of 30-day mortality was determined using Youden's Index. Survival curves of patients with MELD3.0 score above and below the cutoff were estimated with Kaplan-Meier method and compared with log-rank analysis. Results Totally 862 patients were included (median age 71.0 years [interquartile range, IQR: 64.0-79.0], 65.4% males, 75.8% Chinese). Proportion of patients with Child-Turcotte-Pugh classes A/B/C were 55.5%/35.5%/9.0%. Median MELD3.0/MELDNa/MELD scores were 12.2 (IQR: 8.7-18.3)/11.0 (IQR: 8.0-17.5)/10.3 (IQR: 7.8-15.0). Median time of follow-up was 51.9 months (IQR: 8.5-59.6). The proportion of 30-/90-/365-day mortalities was 5.7%/13.2%/26.9%. AUROC of MELD3.0/MELDNa/MELD in predicting 30-, 90-, and 365-day mortalities, respectively, were 0.823/0.793/0.783, 0.754/0.724/0.707, 0.682/0.654/0.644 (P < 0.05). Optimal cutoff to predict 30-day mortality was MELD3.0 > 19 (sensitivity = 67.4%, specificity = 82.4%). Patients with MELD3.0 > 19, compared with patients with MELD3.0 ≤ 19, had shorter median time to death (98.0 days [IQR: 28.8-398.0] vs 390.0 days [IQR: 134.3-927.5]), and higher proportion of 30-day mortality (68.8% vs 43.0%) (P < 0.001). Conclusion MELD3.0 performs better than MELDNa and MELD in predicting mortality in cirrhotic inpatients. MELD3.0 > 19 predicts higher 30-day mortality.
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Affiliation(s)
- Hong‐Yi Lin
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Pooi Ling Loi
- Department of Gastroenterology and HepatologySingapore General HospitalSingaporeSingapore
| | - Jeanette Ng
- Department of Gastroenterology and HepatologySingapore General HospitalSingaporeSingapore
| | - Liang Shen
- Biostatistics Unit, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Wei‐Quan Teo
- SingHealth Duke‐NUS Transplant CentreSingaporeSingapore
| | - Amber Chung
- SingHealth Duke‐NUS Transplant CentreSingaporeSingapore
| | - Prema Raj
- SingHealth Duke‐NUS Transplant CentreSingaporeSingapore
| | - Jason Pik‐Eu Chang
- Department of Gastroenterology and HepatologySingapore General HospitalSingaporeSingapore
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10
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Hsu SY, Rau CS, Tsai CH, Chou SE, Su WT, Hsieh CH. Association of easy albumin-bilirubin score with increased mortality in adult trauma patients. Front Surg 2024; 11:1280617. [PMID: 38721021 PMCID: PMC11076689 DOI: 10.3389/fsurg.2024.1280617] [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: 09/20/2023] [Accepted: 04/09/2024] [Indexed: 01/03/2025] Open
Abstract
INTRODUCTION The easy albumin-bilirubin (EZ-ALBI) score is calculated using the equation: total bilirubin (mg/dl) - 9 × albumin (g/dl), and is used to evaluate liver functional reserve. This study was designed to investigate whether the EZ-ALBI score serves as an independent risk factor for mortality and is useful for stratifying the mortality risk in adult trauma patients. METHODS We retrospectively reviewed data from the registered trauma database of the hospital and included 3,637 adult trauma patients (1,241 deaths and 2,396 survivors) due to all trauma caused between January 1, 2009, and December 31, 2021. The patients were allocated to the two study groups based on the best EZ-ALBI cutoff point (EZ-ALBI = -28.5), which was determined based on the area under the receiver operating characteristic curve. RESULTS Results revealed that the non-survivors had a significantly higher EZ-ALBI score than the survivors (-26.4 ± 6.5 vs. -31.5 ± 6.2, p < 0.001). Multivariate logistic regression analysis revealed that EZ-ALBI ≥ -28.5was an independent risk factor for mortality (odds ratio, 2.31; 95% confidence interval, 1.63-3.28; p < 0.001). Patients with an EZ-ALBI score ≥ -28.5 presented with 2.47-fold higher adjusted mortality rates than patients with an EZ-ALBI score < -28.5. A propensity score-matched pair cohort of 1,236 patients was developed to reduce baseline disparities in trauma mechanisms. The analysis showed that patients with an EZ-ALBI score ≥ -28.5 had a 4.12 times higher mortality rate compared to patients with an EZ-ALBI score < -28.5. CONCLUSION The EZ-ALBI score was a significant independent risk factor for mortality and can serve as a valuable tool for stratifying mortality risk in adult trauma patients by all trauma causes.
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Affiliation(s)
- Shiun-Yuan Hsu
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Shyuan Rau
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ching-Hua Tsai
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Sheng-En Chou
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Wei-Ti Su
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ching-Hua Hsieh
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
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Köhler T, Schwier E, Praxenthaler J, Kirchner C, Winde G, Koos B, Henzler D. Isoflurane, like sepsis, decreases CYP1A2 liver enzyme activity in intensive care patients: a clinical study and network model. Intensive Care Med Exp 2024; 12:33. [PMID: 38589754 PMCID: PMC11001842 DOI: 10.1186/s40635-024-00617-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
PURPOSE Liver function of intensive care patients is routinely monitored by static blood pathology. For specific indications, liver specific cytochrome activity may be measured by the commercially available maximum liver function capacity (LiMAx) test via quantification of the cytochrome P450 1A2 (CYP1A2) dependent C-methacetin metabolism. Sedation with the volatile anesthetic isoflurane was suspected to abrogate the correlation of LiMAx test with global liver function. We hypothesized that isoflurane has a CYP1A2-activity and LiMAx test result decreasing effect. METHODS In this monocentric, observational clinical study previously liver healthy intensive care patients, scheduled to be changed from propofol to isoflurane sedation, were enrolled. LiMAx testing was done before, during and after termination of isoflurane sedation. RESULTS The mean LiMAx value decreased during isoflurane sedation. Septic patients (n = 11) exhibited lower LiMAx values compared to non-septic patients (n = 11) at all time points. LiMAx values decreased with isoflurane from 140 ± 82 to 30 ± 34 µg kg-1 h-1 in the septic group and from 253 ± 92 to 147 ± 131 µg kg-1 h-1 in the non-septic group while laboratory markers did not imply significant hepatic impairment. Lactate increased during isoflurane inhalation without clinical consequence. CONCLUSION Sepsis and isoflurane have independently demonstrated an effect on reducing the hepatic CYP1A2-activity. A network model was constructed that could explain the mechanism through the influence of isoflurane on hypoxia inducible factor (HIF-1α) by upregulation of the hypoxia-inducible pathway and the downregulation of CYP1A2-activity via the ligand-inducible pathway. Thus, the increased anaerobic metabolism may result in lactate accumulation. The influence of isoflurane sedation on the validated correlation of global liver function with CYP1A2-activity measured by LiMAx testing needs to be investigated in more detail.
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Affiliation(s)
- Thomas Köhler
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr University Bochum, Klinikum Herford, Herford, Germany.
- Department of Anesthesiology and Intensive Care Medicine, AMEOS-Klinikum Halberstadt, Academic Teaching Hospital, Gleimstraße 5, 38820, Halberstadt, Germany.
| | - Elke Schwier
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr University Bochum, Klinikum Herford, Herford, Germany
| | - Janina Praxenthaler
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr University Bochum, Klinikum Herford, Herford, Germany
- Department of Anesthesiology, Intensive Care and Pain Medicine, Southeast Bavaria Hospitals, Klinikum Traunstein, Traunstein, Germany
| | - Carmen Kirchner
- Department of General and Visceral Surgery, Thoracic Surgery and Proctology, Ruhr University Bochum, Klinikum Herford, Herford, Germany
| | - Günther Winde
- Department of General and Visceral Surgery, Thoracic Surgery and Proctology, Ruhr University Bochum, Klinikum Herford, Herford, Germany
| | - Björn Koos
- Department of Anesthesiology, Intensive Care and Pain Medicine, Ruhr University Bochum, Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany
| | - Dietrich Henzler
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr University Bochum, Klinikum Herford, Herford, Germany
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12
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Tian YB, Niu H, Xu F, Shang-Guan PW, Song WW. ALBI score combined with FIB-4 index to predict post-hepatectomy liver failure in patients with hepatocellular carcinoma. Sci Rep 2024; 14:8034. [PMID: 38580647 PMCID: PMC10997654 DOI: 10.1038/s41598-024-58205-5] [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: 08/13/2023] [Accepted: 03/26/2024] [Indexed: 04/07/2024] Open
Abstract
Post-hepatectomy liver failure (PHLF) is a potentially life-threatening complication following liver resection. Hepatocellular carcinoma (HCC) often occurs in patients with chronic liver disease, which increases the risk of PHLF. This study aimed to investigate the ability of the combination of liver function and fibrosis markers (ALBI score and FIB-4 index) to predict PHLF in patients with HCC. Patients who underwent hepatectomy for HCC between August 2012 and September 2022 were considered for inclusion. Multivariable logistic regression analysis was used to identify factors associated with PHLF, and ALBI score and FIB-4 index were combined based on their regression coefficients. The performance of the combined ALBI-FIB4 score in predicting PHLF and postoperative mortality was compared with Child-Pugh score, MELD score, ALBI score, and FIB-4 index. A total of 215 patients were enrolled in this study. PHLF occurred in 35 patients (16.3%). The incidence of severe PHLF (grade B and grade C PHLF) was 9.3%. Postoperative 90-d mortality was 2.8%. ALBI score, FIB-4 index, prothrombin time, and extent of liver resection were identified as independent factors for predicting PHLF. The AUC of the ALBI-FIB4 score in predicting PHLF was 0.783(95%CI: 0.694-0.872), higher than other models. The ALBI-FIB4 score could divide patients into two risk groups based on a cut-off value of - 1.82. High-risk patients had a high incidence of PHLF of 39.1%, while PHLF just occurred in 6.6% of low-risk patients. Similarly, the AUCs of the ALBI-FIB4 score in predicting severe PHLF and postoperative 90-d mortality were also higher than other models. Preoperative ALBI-FIB4 score showed good performance in predicting PHLF and postoperative mortality in patients undergoing hepatectomy for HCC, superior to the currently commonly used liver function and fibrosis scoring systems.
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Affiliation(s)
- Yi-Bo Tian
- Department of Hepatobiliary Surgery, Jincheng People's Hospital, Jincheng, 048026, Shanxi Province, China
- Department of Emergency, Jincheng General Hospital, Jincheng, 048000, Shanxi Province, China
| | - Hong Niu
- Department of Gastroenterology, Jincheng General Hospital, Jincheng, 048000, Shanxi Province, China
| | - Feng Xu
- Department of General Surgery, Jincheng General Hospital, Jincheng, 048000, Shanxi Province, China.
| | - Peng-Wei Shang-Guan
- Department of General Surgery, Jincheng General Hospital, Jincheng, 048000, Shanxi Province, China
| | - Wei-Wei Song
- Department of Medical Quality Control, Jincheng General Hospital, Jincheng, 048000, Shanxi Province, China
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Hori T, Aihara KI, Ishida K, Inaba K, Inaba K, Kaneko Y, Kawahito K, Bekku S, Hosoki M, Mori K, Itami K, Katsuse M, Hanaoka Y, Kageji T, Uraoka H, Nakamura S. Usefulness of Palliative Prognostic Index, Objective Prognostic Score, and Neutrophil-Lymphocyte Ratio/Albumin Ratio As Prognostic Indicators for Patients Without Cancer Receiving Home-Visit Palliative Care: A Pilot Study at a Community General Hospital. Palliat Med Rep 2024; 5:142-149. [PMID: 38596695 PMCID: PMC11002559 DOI: 10.1089/pmr.2023.0096] [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] [Accepted: 02/26/2024] [Indexed: 04/11/2024] Open
Abstract
Background Although the palliative prognostic index (PPI), objective prognostic score (OPS), and neutrophil-lymphocyte ratio/albumin ratio (NLR/Alb) are well-known prognostic indicators for cancer patients, they do not provide clarity when it comes to predicting prognosis in patients without cancer who receive home-visit palliative care. Objective The aim of this study was to determine whether PPI, OPS, and NLR/Alb can predict prognosis for patients without cancer who received home-visit palliative care. Design This is a retrospective study. Setting/Subjects We recruited 58 patients without cancer who received home-visit palliative care from Tokushima Prefectural Kaifu Hospital, Japan, and died at home or at the hospital within seven days of admission between January 2009 and March 2023. Measurements The PPI, OPS, and NLR/Alb of the study patients were evaluated at regular intervals, and statistical analysis was performed on the relationship between these indices and the time to death. Results Simple regression analysis showed that PPI, OPS, and NLR/Alb were negatively correlated with the period until death (p < 0.001). The survival curves of the groups classified according to PPI, OPS, and NLR/Alb were significantly stratified. The predictive capacities of PPI, OPS, and NLR/Alb for death within 21 days were as follows: PPI (area under the curve [AUC]: 0.71; sensitivity: 59%; specificity: 68%), OPS (AUC: 0.73; sensitivity: 88%; specificity: 47%), and NLR/Alb (AUC: 0.72; sensitivity: 72%; specificity: 73%). Conclusions PPI, OPS, and NLR/Alb were useful in predicting the survival period and short-term prognosis within 21 days for patients without cancer who received home-visit palliative care.
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Affiliation(s)
- Taiki Hori
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
- Department of Hematology, Endocrinology and Metabolism, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Ken-ichi Aihara
- Department of Community Medicine and Medical Science, and Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Koki Ishida
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Kaori Inaba
- Department of General Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Keisuke Inaba
- Department of General Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yousuke Kaneko
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Keisuke Kawahito
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Shoki Bekku
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Minae Hosoki
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Kensuke Mori
- Department of Internal Medicine, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Kanako Itami
- Department of Nursing, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Masayo Katsuse
- Department of Nursing, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Yoshimi Hanaoka
- Department of Nursing, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Teruyoshi Kageji
- Department of Neurosurgery, and Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Hideyuki Uraoka
- Department of Orthopedic Surgery, Tokushima Prefectural Kaifu Hospital, Tokushima, Japan
| | - Shingen Nakamura
- Department of Community Medicine and Medical Science, and Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
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14
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Song X, Romeiro FG, Wang J, Yin Y, Philips CA, Yang X, Liu X, Wu W, Bernardinelli MVT, Santos de Souza R, Theruvath AH, Lin S, Qi X. Development and validation of modified Liaoning score for predicting the prognosis of liver cirrhosis: a retrospective, international multicenter, observational study. Expert Rev Gastroenterol Hepatol 2024; 18:121-128. [PMID: 38362663 DOI: 10.1080/17474124.2024.2320238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/14/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Liaoning score has been developed and validated to predict the risk of esophageal varices in liver cirrhosis. This study aimed to further modify the Liaoning score by combining clinical and laboratory parameters to predict the long-term outcome of cirrhotic patients. METHODS First, 474 cirrhotic patients were retrospectively enrolled from Shenyang, China as the training cohort. Independent predictors for death were identified by competing risk analyses, and then a new prognostic model, called as modified Liaoning score, was developed. Its performance was externally validated at three centers from Fuzhou, China (n = 1944), Jinan, China (n = 485), and São Paulo, Brazil (n = 221). RESULTS Age, total bilirubin (TBIL), albumin (ALB), serum creatinine (SCr), and Liaoning score were independently associated with death in the training cohort. Modified Liaoning score = 0.159×Liaoning score + 0.010×TBIL(µmol/L)+0.029×age(years)+0.011×SCr(µmol/L)-0.037×ALB(g/L). The area under curve of modified Liaoning score was 0.714 (95%CI = 0.655-0.773), which was higher than that of Child-Pugh score (0.707, 95%CI = 0.645-0.770), MELD score (0.687, 95%CI = 0.623-0.751), and Liaoning score (0.583, 95%CI = 0.513-0.654). A modified Liaoning score of ≥ 1.296 suggested a higher cumulative incidence of death in liver cirrhosis (p < 0.001). Modified Liaoning score still had the highest prognostic performance in Chinese and Brazilian validation cohorts. CONCLUSIONS Modified Liaoning score can be considered for predicting the long-term outcome of cirrhotic patients.
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Affiliation(s)
- Xiaoting Song
- Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Northern Theater Command (Teaching Hospital of Dalian Medical University), Shenyang, China
| | - Fernando Gomes Romeiro
- Department of Internal Medicine, Botucatu Medical School, Universidade Estadual Paulista (UNESP), São Paulo, Brazil
| | - Jing Wang
- Department of Gastroenterology, The 960th Hospital of the PLA, Jinan, China
| | - Yue Yin
- Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Northern Theater Command (Teaching Hospital of Dalian Medical University), Shenyang, China
- Postgraduate College, China Medical University, Shenyang, China
| | - Cyriac Abby Philips
- Clinical and Translational Hepatology, The Liver Institute, Center of Excellence in GI Sciences, Rajagiri Hospital, Aluva, Kerala, India
| | - Xinyi Yang
- Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Xiaofeng Liu
- Department of Gastroenterology, The 960th Hospital of the PLA, Jinan, China
| | - Wenming Wu
- Department of Gastroenterology, The 960th Hospital of the PLA, Jinan, China
| | | | - Roger Santos de Souza
- Department of Internal Medicine, Botucatu Medical School, Universidade Estadual Paulista (UNESP), São Paulo, Brazil
| | - Arif Hussain Theruvath
- Clinical and Translational Hepatology, The Liver Institute, Center of Excellence in GI Sciences, Rajagiri Hospital, Aluva, Kerala, India
| | - Su Lin
- Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Xingshun Qi
- Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Northern Theater Command (Teaching Hospital of Dalian Medical University), Shenyang, China
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15
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Kuo PJ, Rau CS, Tsai CH, Chou SE, Su WT, Hsu SY, Hsieh CH. Evaluation of the Easy Albumin-Bilirubin Score as a Prognostic Tool for Mortality in Adult Trauma Patients in the Intensive Care Unit: A Retrospective Study. Diagnostics (Basel) 2023; 13:3450. [PMID: 37998586 PMCID: PMC10670548 DOI: 10.3390/diagnostics13223450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/25/2023] Open
Abstract
The easy albumin-bilirubin (EZ-ALBI) score is derived using the following equation: total bilirubin (mg/dL) - 9 × albumin (g/dL). This study aimed to determine whether the EZ-ALBI score predicted mortality risk in adult trauma patients in an intensive care unit (ICU). Data from a hospital's trauma database were retrospectively evaluated for 1083 adult trauma ICU patients (139 deaths and 944 survivors) between 1 January 2016 and 31 December 2021. Patients were classified based on the ideal EZ-ALBI cut-off of -26.5, which was determined via receiver operating characteristic curve analysis. The deceased patients' EZ-ALBI scores were higher than those of the surviving patients (-26.8 ± 6.5 vs. -30.3 ± 5.9, p = 0.001). Multivariate logistic analysis revealed that, in addition to age, the presence of end-stage renal disease, Glasgow Coma Scale scores, and injury severity scores, the EZ-ALBI score is an independent risk factor for mortality (odds ratio (OR), 1.10; 95% confidence interval (CI): 1.06-1.14; p = 0.001)). Compared with patients with EZ-ALBI scores < -26.5, those with scores ≥ -26.5 had a 2.1-fold higher adjusted mortality rate (adjusted OR, 2.14; 95% CI: 1.43-3.19, p = 0.001). In conclusion, the EZ-ALBI score is a substantial and independent predictor of mortality and can be screened to stratify mortality risk in adult trauma ICU patients.
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Affiliation(s)
- Pao-Jen Kuo
- Department of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Cheng-Shyuan Rau
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Ching-Hua Tsai
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-H.T.); (S.-E.C.); (W.-T.S.); (S.-Y.H.)
| | - Sheng-En Chou
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-H.T.); (S.-E.C.); (W.-T.S.); (S.-Y.H.)
| | - Wei-Ti Su
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-H.T.); (S.-E.C.); (W.-T.S.); (S.-Y.H.)
| | - Shiun-Yuan Hsu
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-H.T.); (S.-E.C.); (W.-T.S.); (S.-Y.H.)
| | - Ching-Hua Hsieh
- Department of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
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Jeong JH, Lee SB, Sung A, Shin H, Kim DH. Factors predicting mortality in patients with alcoholic liver cirrhosis visiting the emergency department. Medicine (Baltimore) 2023; 102:e33074. [PMID: 36827072 PMCID: PMC11309678 DOI: 10.1097/md.0000000000033074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/25/2023] Open
Abstract
Liver cirrhosis (LC) is a major cause of morbidity and mortality worldwide and is becoming a regional and healthcare burden. South Korea is one of the 10 countries with the highest age standardized prevalence of decompensated LC. Moreover, the proportion of patients with alcoholic LC is increasing and there has been no decrease in the incidence of decompensated alcoholic LC. Patients with decompensated LC frequently visit the emergency department (ED). Several studies focused on patients with LC who visited the ED, but the studies about alcoholic LC were limited. This study aimed to identify predicting factors for mortality in alcoholic LC patients visiting the ED. This was a retrospective study of alcoholic LC patients who visited an ED between November 2017 and June 2021. The baseline characteristics, complications of LC, model for end-stage liver disease (MELD) score, and laboratory values including lactate were assessed. The primary outcome was in-hospital mortality. In total, 433 patients with alcoholic LC were included for analysis and the in hospital mortality rate was 15.9% (n = 69). Univariate regression analyses identified that MELD score, lactate, platelet, international normalized ratio, bilirubin, creatinine, albumin, and C-reactive protein (CRP) predicted in-hospital mortality. Multivariate regression analysis showed that MELD score, lactate, albumin, and CRP were significantly associated with in-hospital mortality. MELD score, lactate, albumin, and CRP predicted the mortality in alcoholic LC patients visiting the ED.
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Affiliation(s)
- Jin Hee Jeong
- Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju-si, Gyeongsangnam-do, Republic of Korea
- Gyeongsang Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju-si, Gyeongsangnam-do, Republic of Korea
| | - Sang Bong Lee
- Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju-si, Gyeongsangnam-do, Republic of Korea
| | - Aejin Sung
- Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju-si, Gyeongsangnam-do, Republic of Korea
| | - Hyuntack Shin
- Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju-si, Gyeongsangnam-do, Republic of Korea
| | - Dong Hoon Kim
- Department of Emergency Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju-si, Gyeongsangnam-do, Republic of Korea
- Gyeongsang Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju-si, Gyeongsangnam-do, Republic of Korea
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17
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Luo Y, Cuneo KC, Lawrence TS, Matuszak MM, Dawson LA, Niraula D, Ten Haken RK, El Naqa I. A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy. Front Oncol 2022; 12:1061024. [PMID: 36568208 PMCID: PMC9782976 DOI: 10.3389/fonc.2022.1061024] [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: 10/04/2022] [Accepted: 11/01/2022] [Indexed: 12/13/2022] Open
Abstract
Background Imbalanced outcome is one of common characteristics of oncology datasets. Current machine learning approaches have limitation in learning from such datasets. Here, we propose to resolve this problem by utilizing a human-in-the-loop (HITL) approach, which we hypothesize will also lead to more accurate and explainable outcome prediction models. Methods A total of 119 HCC patients with 163 tumors were used in the study. 81 patients with 104 tumors from the University of Michigan Hospital treated with SBRT were considered as a discovery dataset for radiation outcomes model building. The external testing dataset included 59 tumors from 38 patients with SBRT from Princess Margaret Hospital. In the discovery dataset, 100 tumors from 77 patients had local control (LC) (96% of 104 tumors) and 23 patients had at least one grade increment of ALBI (I-ALBI) during six-month follow up (28% of 81 patients). Each patient had a total of 110 features, where 15 or 20 features were identified by physicians as expert knowledge features (EKFs) for LC or I-ALBI prediction. We proposed a HITL based Bayesian network (HITL-BN) approach to enhance the capability of selecting important features from imbalanced data in terms of accuracy and explainability through humans' participation by integrating feature importance ranking and Markov blanket algorithms. A pure data-driven Bayesian network (PD-BN) method was applied to the same discovery dataset of HCC patients as a benchmark. Results In the training and testing phases, the areas under receiver operating characteristic curves of the HITL-BN models for LC or I-ALBI prediction during SBRT are 0.85 (95% confidence interval: 0.75-0.95) or 0.89 (0.81-0.95) and 0.77 or 0.78, respectively. They significantly outperformed the during-treatment PD-BN model in predicting LC or I-ALBI based on the discovery cross-validation and testing datasets from the Delong tests. Conclusion By allowing the human expert to be part of the model building process, the HITL-BN approach yielded significantly improved accuracy as well as better explainability when dealing with imbalanced outcomes in the prediction of post-SBRT treatment response of HCC patients when compared to the PD-BN method.
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Affiliation(s)
- Yi Luo
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States,*Correspondence: Yi Luo,
| | - Kyle C. Cuneo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Theodore S. Lawrence
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Martha M. Matuszak
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Laura A. Dawson
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Dipesh Niraula
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States
| | - Randall K. Ten Haken
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Issam El Naqa
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States
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Vogg J, Maier-Stocker C, Munker S, Mehrl A, Schlosser S, Tews HC, Gülow K, Müller M, Schmid S. Hepatic perfusion as a new predictor of prognosis and mortality in critical care patients with acute-on-chronic liver failure. Front Med (Lausanne) 2022; 9:1008450. [PMID: 36300192 PMCID: PMC9589036 DOI: 10.3389/fmed.2022.1008450] [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: 07/31/2022] [Accepted: 09/20/2022] [Indexed: 12/07/2022] Open
Abstract
Background and aims Liver diseases are frequent causes of morbidity and mortality worldwide. Liver diseases can lead to cirrhosis, with the risk of acute-on-chronic liver failure (ACLF). For the detection of changes in hepatic hemodynamics, Doppler ultrasonography is a well-established method. We investigated hepatic hemodynamics via serial Doppler ultrasonography to determine the predictive value of changes in hepatic perfusion for the outcome in patients with severe liver diseases compared to established prognostic models such as the MELD (Model for End-Stage Liver Disease) or CLIF-C (Chronic Liver Failure-Consortium) ACLF score. Methods In this prospective cohort study, hepatic perfusion was quantified at baseline before the initiation of treatment and every third day by means of serial measurements of the hepatic artery resistance index (HARI) and the maximum portal vein velocity (PVv) using Doppler ultrasonography in 50 consecutive patients with severe liver diseases admitted to a medical intensive care unit (MICU). The recorded hemodynamic parameters were compared to the MELD score, and the CLIF-C ACLF score to analyze their utility for the prediction of the outcome of patients with severe liver diseases, liver cirrhosis, and ACLF. Results The changes (delta) obtained by serial measurements of the MELD score, HARI, and PVv were analyzed through scatter plots. Bivariate correlation analysis yielded a new positive linear correlation between the delta-HARI and the delta-MELD score (r = 0.469; p < 0.001). In addition, our data revealed a new negative linear correlation between delta-PVv and the delta-MELD score (r = -0.279, p = 0.001). The leading cause of MICU mortality was acute-on-chronic liver failure (ACLF). A subgroup analysis of patients with liver cirrhosis revealed a positive linear correlation between the delta-HARI and the delta-CLIF-C-ACLF score (r = 0.252, p = 0.005). Of clinical relevance, non-survivors of ACLF exhibited a significantly higher mean value for the delta-HARI (0.010 vs. -0.005; p = 0.015) and a lower mean value for the delta-PVv (-0.7 vs. 1.9 cm/s; p = 0.037) in comparison to survivors of ACLF. Conclusion This study shows the prognostic value of the assessment of hepatic perfusion in critical care patients with severe liver diseases by bedside Doppler ultrasound examination and its utility as an accurate predictor of the outcome in patients with ACLF. Increasing HARI and a decreasing PVv are predictors of an adverse outcome. Delta-HARI and delta-PVv are new biomarkers of prognosis and ACLF-related mortality in patients with liver diseases. Delta-HARI and delta-PVv may be helpful in guiding clinical decision-making, especially in catecholamine and fluid management.
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Affiliation(s)
- Johannes Vogg
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
- Department of Anesthesiology and Critical Care, School of Medicine, Technical University of Munich, Munich, Germany
| | - Constantin Maier-Stocker
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Stefan Munker
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany
| | - Alexander Mehrl
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Sophie Schlosser
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Hauke Christian Tews
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Karsten Gülow
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Martina Müller
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Stephan Schmid
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
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Sun L, Ding P, Mao W, Wu J. D-Dimer-to-Albumin Ratio: A Novel Indicator to Predict Poor Outcomes in Patients with HBV-Associated Decompensated Cirrhosis. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9062383. [PMID: 36147636 PMCID: PMC9489368 DOI: 10.1155/2022/9062383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 09/01/2022] [Indexed: 09/12/2023]
Abstract
BACKGROUND The purpose of the present study was to investigate the impact of D-dimer-to-albumin ratio (DAR) on outcomes in patients with hepatitis B virus-associated decompensated cirrhosis (HBV-DeCi). METHODS A total of 172 HBV-DeCi patients were enrolled. Logistic regression was used to explore the association between DAR and 30-day mortality. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of DAR for predicting mortality. RESULTS The 30-day mortality was 19.8%. DAR was clearly higher in the nonsurvivors compared with the survivors, and increasing DAR was associated with an increasing risk of death. DAR was independently associated with mortality and its AUC for mortality was equivalent to that for Model for End-Stage Liver Disease score. CONCLUSIONS DAR may be a potential prognostic marker for mortality in HBV-DeCi patients.
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Affiliation(s)
- Lin Sun
- Department of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou 312400, China
| | - PingPing Ding
- Department of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou 312400, China
| | - WeiLin Mao
- Department of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou 312400, China
- Department of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| | - JianPing Wu
- Department of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou 312400, China
- Department of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
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20
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The Prognostic Value of Serum HBV-RNA during Hepatitis B Virus Infection is Related to Acute-on-Chronic Liver Failure. Can J Gastroenterol Hepatol 2022; 2022:8422242. [PMID: 36148157 PMCID: PMC9489391 DOI: 10.1155/2022/8422242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/11/2022] [Accepted: 08/31/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Serum HBV-RNA levels can predict antiviral response in chronic hepatitis B (CHB) patients; however, its role in HBV-related ACLF (HBV-ACLF) remains unclear. Here, we determined its implications for HBV-ACLF. METHODS Baseline serum HBV-RNA levels were retrospectively detected in HBV-ACLF and CHB patients. The association of serum HBV-RNA level with clinical outcomes was evaluated by performing multiple logistic regression. A nomogram was developed to formulate an algorithm incorporating serum HBV-RNA for predicting the survival of HBV-ACLF patients. After being discharged from the hospital, the HBV-ACLF patients were followed up for 36 weeks. RESULTS In this study, 82 HBV-ACLF patients and 33 CHB patients were included. Serum HBV-RNA levels were significantly higher in CHB patients than in HBV-ACLF patients (4.15 ± 2.63 log10 copies/mL VS 5.37 ± 2.02 log10 copies/mL) (P < 0.05). Among the HBV-ACLF cases, patients with poor outcomes had lower serum HBV-RNA levels, but the difference was not significant. The area under the receiver operating characteristic curve of the serum HBV-RNA inclusive model was 0.745, superior to 0.66 from MELD scores (P < 0.05). During the follow-up for four weeks, the serum HBV-RNA levels, especially in the survival group, were found to be lower than the baseline levels. CONCLUSIONS Serum HBV-RNA levels were associated with disease severity and might predict the long-term clinical outcome of HBV-ACLF patients.
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Khsiba A, Bradai S, Mahmoudi M, Mohamed AB, Medhioub M, Hamzaoui L, Azouz MM. [Predictors of hepatic encephalopathy in patients with severe acute liver injury]. Pan Afr Med J 2022; 42:323. [PMID: 36451984 PMCID: PMC9664508 DOI: 10.11604/pamj.2022.42.323.30089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 07/17/2022] [Indexed: 06/17/2023] Open
Abstract
INTRODUCTION severe acute liver injury (SALI) formerly known as severe acute hepatitis is an acute inflammation of the liver with markers of liver injury (elevated transaminases) and signs of hepatocellular failure (jaundice and INR greater than 1.5) according to the latest definition of the European Association for the Study of the Liver (EASL). An important prognostic factor in SALI is the development of hepatic encephalopathy (HE) and thus its progression to acute liver failure (ALF), formerly known as acute severe hepatitis. The purpose of this study is to investigate factors predicting the development of hepatic encephalopathy during SALI. METHODS we conducted a retrospective study of patients treated for SALI between January 2000 and December 2019. We divided patients into two groups depending on whether hepatic encephalopathy occurred. We performed an analytical study comparing the two groups according to their epidemiological, biological and evolutionary data. RESULTS data from the medical records of fifty-nine patients were collected. A virus was the most frequent cause (63%). Hepatic encephalopathy occurred in 15 patients (25.4%). Factors predicting the development of HE in univariate analysis were a delay in consultation of more than 9 days, an INR level of more than 2.45, a bilirubin level of more than 230 μmol/l, creatinine greater than 60.5 μmol/l, urea greater than 5.5 mmol/l and MELD score greater than 26.5 (p=0.023, p=0.017, p=0.0001, p=0.049, p=0.0001, p=0.0001 respectively). Autoimmune hepatitis and an undetermined cause were associated with the development of HE (p=0,003 and p=0,044, respectively). In multivariate analysis, autoimmune aetiology and a urea level above 5.5 mmol/l were significantly associated with the occurrence of HE. No statistically significant differences were found between the two groups with regard to age, sex and diabetes. CONCLUSION SALI is a rare disease, mainly due to a virus in our country. Predictive factors of HE are important for early identification of patients at risk of adverse outcomes.
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Affiliation(s)
- Amal Khsiba
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
| | - Samir Bradai
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
| | - Moufida Mahmoudi
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
| | - Asma Ben Mohamed
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
| | - Mouna Medhioub
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
| | - Lamine Hamzaoui
- Gastroenterology Department, Mohamed Tahar Maamouri Hospital, Nabeul, Tunisia
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Xu W, Li B, Yang Z, Li J, Liu F, Liu Y. Rethinking Liver Fibrosis Staging in Patients with Hepatocellular Carcinoma: New Insights from a Large Two-Center Cohort Study. J Hepatocell Carcinoma 2022; 9:751-781. [PMID: 35983561 PMCID: PMC9380840 DOI: 10.2147/jhc.s372577] [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: 04/27/2022] [Accepted: 07/28/2022] [Indexed: 11/23/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a prevalent and aggressive malignancy closely related to background chronic liver disease. This study aimed to explore predictive factors associated with background liver fibrosis burden in patients with HCC and sought to construct a practical predictive model for clinical use. Methods This large two-center retrospective cohort study evaluated data from Chinese medical centers. Uni- and multivariate ordinal logistic regression analyses were performed to identify variables associated with liver fibrosis stages. Predictive models based on variables identified by multivariate analysis were established in the Derivation Cohort and subjected to internal and external validation. Model performance was evaluated for discriminative and calibration abilities. Results Multivariate ordinal logistic regression analysis identified liver fibrosis severity score (LFSS), portal hypertension (PH) severity, plateletcrit (PCT) and model for end-stage liver disease-sodium (MELD-Na) as independent predictors of liver fibrosis stage in HCC patients. Nomograms that integrated these factors disclosed that the area under receiver operating characteristic curves (AUROCs) to predict S1 in the Derivation and External Validation cohorts were 0.850 and 0.919, respectively. Internal validation disclosed C-indexes of 0.823 and 0.833 in the Derivation and External Validation cohorts, respectively, indicating that the nomogram had good and excellent performance for distinguishing between S1 and non-S1 patients. Nomogram performance in the Derivation and External Validation cohorts, respectively, was fair and good to predict stage S2 (AUROCs 0.726, 0.806; C-indexes 0.713, 0.791); poor for S3 (AUROCs 0.648, 0.698; C-indexes 0.616, 0.666); good for S4 (AUROCs 0.812, 0.824; C-indexes 0.804, 0.792); and good for S3+S4 (AUROCs 0.806, 0.840; C-indexes 0.795, 0.811). Conclusion We propose new predictive models for the staging of background liver fibrosis in patients with HCC that can be implemented into clinical practice as important complements to hepatic imaging to inform HCC management strategy.
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Affiliation(s)
- Wei Xu
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Hospital Affiliated with Hunan Normal University, Changsha, People's Republic of China
| | - Bolun Li
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Hospital Affiliated with Hunan Normal University, Changsha, People's Republic of China
| | - Zhanwei Yang
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Hospital Affiliated with Hunan Normal University, Changsha, People's Republic of China
| | - Jingdong Li
- Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Fei Liu
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Hospital Affiliated with Hunan Normal University, Changsha, People's Republic of China
| | - Yu Liu
- Department of Pathology, Hunan Provincial People's Hospital, The First Hospital Affiliated with Hunan Normal University, Changsha, People's Republic of China
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Wan YP, Wang AJ, Zhang W, Zhang H, Peng GH, Zhu X. Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury. World J Gastroenterol 2022; 28:4133-4151. [PMID: 36157113 PMCID: PMC9403434 DOI: 10.3748/wjg.v28.i30.4133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/29/2022] [Accepted: 07/22/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) is a common and severe complication in patients with cirrhosis, and is associated with poor prognosis. Therefore, identifying cirrhotic patients with AKI who are at high risk of mortality is very important and may be helpful for providing timely medical interventions to improve the prognosis of these patients. However, studies focused on investigating the risk factors for the mortality of cirrhotic patients with AKI were scarce.
AIM To identify risk factors for mortality and establish a nomogram for predicting the prognosis of these patients.
METHODS Two hundred fifty consecutive patients with cirrhosis and AKI were recruited and randomly divided into training cohort (n = 173) and validation cohort (n = 77). In the training cohort, potential risk factors for death were identified by performing a Cox regression analysis, and a nomogram was established. The predictive performance of the nomogram was internally and externally validated by calculating the area under the receiver operating characteristic curve (AUROC), constructing a calibration curve and performing decision curve analysis.
RESULTS The serum sodium level, international normalized ratio, peak serum creatinine level > 1.5 mg/dL, the presence of hepatic encephalopathy and diabetes were potential risk factors for mortality of cirrhotic patients with AKI in the training dataset. A prognostic nomogram incorporating these variables was established for predicting the overall survival of these patients. Compared with Child-Turcotte-Pugh, the model for end-stage liver disease (MELD) and the MELD-Na scores, the nomogram in predicting 90- and 180-d mortality exhibited better discriminatory power with AUROCs of 0.792 and 0.801 for the training dataset and 0.817 and 0.862 for the validation dataset, respectively. With a nomogram score of 98, patients were divided into low- and high-risk groups, and high-risk patients had a higher mortality rate.
CONCLUSION A prognostic nomogram displayed good performance for predicting the overall survival of cirrhotic patients with AKI, and will assist clinicians in evaluating the prognosis of these patients.
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Affiliation(s)
- Yi-Peng Wan
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
| | - An-Jiang Wang
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
| | - Wang Zhang
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
| | - Hang Zhang
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
| | - Gen-Hua Peng
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
| | - Xuan Zhu
- Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang 331706, Jiangxi Province, China
- Biomolecular Research Laboratory, Jiangxi Clinical Research Center for Gastroenterology, Nanchang 331706, Jiangxi Province, China
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Mahassadi AK, Anzouan-Kacou Kissi H, Attia AK. The Prognostic Values of Neutrophil-to-lymphocyte Ratio and Platelet-to-Lymphocyte Ratio at Baseline in Predicting the In-hospital Mortality in Black African Patients with Advanced Hepatocellular Carcinoma in Palliative Treatment: A Comparative Cohort Study. Hepat Med 2021; 13:123-134. [PMID: 34938131 PMCID: PMC8686837 DOI: 10.2147/hmer.s333980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background The prognostic values of the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) in predicting the in-hospital mortality of Black African patients with advanced hepatocellular carcinoma (HCC) in palliative treatment is unknown. Aim To determine the prognostic value of NLR and PLR compared with that of Child–Turcotte–Pugh (CTP), model for end-stage liver disease (MELD) scores and the Barcelona clinic liver cancer staging system (BCLC). Methods The cutoffs, accuracies and association with the mortality of these prognostic scores were determined using a time-dependent area under receiver operating characteristic curves (AUC), the log rank test and Cox proportional hazards ratio. Results A total of 104 patients with advanced HCC (median age=49.5 years, males=58.7%) were enrolled. All were hospitalized for an enlarged liver mass of at least 15.4 cm in size in the right thoracic quadrant. Overall, 46 (44.2%) patients died in hospital during follow-up. Patients with NLR >2.5 (log rank test=7.11, p=0.01) or PLR >92 (log rank test=5.63, p=0.02) had poor survival. Factors associated with the in-hospital mortality were the MELD score (p=0.01), NLR (p=0.03) and hemoglobin level (p=0.02). NLR exhibits better and stable accuracy in predicting the in hospital mortality at time points of 30 (AUC=0.618), 60 (AUC=0.680) and 90 (AUC=0.613) days of follow-up, compared with CTP, MELD scores, BCLC and PLR. However, PLR displayed an enhanced accuracy over 90 days of follow up (AUC=0.688). Conclusion NLR is useful in predicting the in-hospital mortality in Black African patients with advanced stage HCC in clinical practice. NLR and PLR may be used concomitantly for long-term follow-up.
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Affiliation(s)
- Alassan Kouame Mahassadi
- Gastroenterology and Hepatology Unit, Yopougon Teaching Hospital, Abidjan, Côte d'Ivoire, West Africa
| | | | - Alain Koffi Attia
- Gastroenterology and Hepatology Unit, Yopougon Teaching Hospital, Abidjan, Côte d'Ivoire, West Africa
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Sun LY, Ouyang Q, Cen WJ, Wang F, Tang WT, Shao JY. A Model Based on Artificial Intelligence Algorithm for Monitoring Recurrence of HCC after Hepatectomy. Am Surg 2021:31348211063549. [PMID: 34894786 DOI: 10.1177/00031348211063549] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND There is no satisfactory indicator for monitoring recurrence after resection of hepatocellular carcinoma (HCC). This retrospective study aimed to design and validate an HCC monitor recurrence (HMR) model for patients without metastasis after hepatectomy. METHODS A training cohort was recruited from 1179 patients with HCC without metastasis after hepatectomy between February 2012 and December 2015. An HMR model was developed using an AdaBoost classifier algorithm. The factors included patient age, TNM staging, tumor size, and pre/postoperative dynamic variations of alpha-fetoprotein (AFP). The diagnostic efficacy of the model was evaluated based on the area under the receiver operating characteristic curves (AUCs). The model was validated using a cohort of 695 patients. RESULTS In preoperative patients with positive or negative AFP, the AUC of the validation cohort in the HMR model was .8877, which indicated better diagnostic efficacy than that of serum AFP (AUC, .7348). The HMR model predicted recurrence earlier than computed tomography/magnetic resonance imaging did by 191.58 ± 165 days. In addition, the HMR model can predict the prognosis of patients with HCC after resection. CONCLUSIONS The HMR model established in this study is more accurate than serum AFP for monitoring recurrence after hepatectomy for HCC and can be used for real-time monitoring of the postoperative status in patients with HCC without metastasis.
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Affiliation(s)
- Li-Yue Sun
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Molecular Diagnostics, 71067Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qing Ouyang
- Department of Hepatobiliary, 26470General Hospital of Southern Theatre Command of PLA, Guangzhou, China
| | - Wen-Jian Cen
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Molecular Diagnostics, 71067Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Fang Wang
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Molecular Diagnostics, 71067Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Ting Tang
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Molecular Diagnostics, 71067Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jian-Yong Shao
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Molecular Diagnostics, 71067Sun Yat-sen University Cancer Center, Guangzhou, China
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Performance of artificial intelligence for prognostic prediction with the albumin-bilirubin and platelet-albumin-bilirubin for cirrhotic patients with acute variceal bleeding undergoing early transjugular intrahepatic portosystemic shunt. Eur J Gastroenterol Hepatol 2021; 33:e153-e160. [PMID: 33177378 DOI: 10.1097/meg.0000000000001989] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE The aim of this study was to validate and compare the prognostic performance of the albumin-bilirubin (ALBI) grade, platelet-albumin-bilirubin (PALBI) grade, Child-Pugh (CP) grade, and Model for End-Stage Liver Disease (MELD) score in predicting the 1-year variceal rebleeding probability using artificial intelligence for patients with cirrhosis and variceal bleeding undergoing early transjugular intrahepatic portosystemic shunt (TIPS) procedures. MATERIALS AND METHODS This dual-center retrospective study included two cohorts, with patients enrolled between January 2016 and September 2018 in the training cohort and January 2017 and September 2018 in the validation cohort. In the training cohort, independent risk factors associated with the 1-year variceal rebleeding probability were identified using univariate and multivariate logistic analyses. ALBI-, PALBI-, Child-Pugh-, and MELD-based nomograms and an artificial neural network (ANN) model were established and validated internally in the training cohort and externally in the validation cohort, which included patients with variceal bleeding who were treated with preventive TIPS. RESULTS A total of 259 patients were included. The median follow-up periods were 24.1 and 18.9 months, and the 1-year variceal rebleeding rates were 12.3% (14/114) and 10.3% (15/145) in the training and validation cohorts, respectively. In the training cohort, all four variables were identified as independent risk factors. Four nomograms were then established and showed comparable prognostic performances after internal (C-index: 0.879, 0.829, 0.874, and 0.798) and external (C-index: 0.720, 0.719, 0.718, and 0.703) validation. The ANN demonstrated that these four variables had comparable importance in predicting the 1-year variceal rebleeding probability. CONCLUSION None of the four variables are optimal in predicting the 1-year variceal rebleeding probability for patients with cirrhosis and variceal bleeding undergoing early TIPS.
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Empirical 188Re-HDD/lipiodol intra-arterial therapy based on tumor volume, in patients with solitary inoperable hepatocellular carcinoma. Nucl Med Commun 2021; 42:43-50. [PMID: 32956248 DOI: 10.1097/mnm.0000000000001296] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study aimed to assess the potential benefits and tolerability of an empirical dose of approximately 0.8-1.2 mCi (29.6-44.4 MBq) of Re-4-hexadecyl-1-2,9,9-tetramethyl-4,7-diaza-1,10-decanethiol/lipiodol (Re-HDD/lipiodol) per milliliter of tumor volume, administered after super-selection of the tumor feeding branches of hepatic artery for treatment of inoperable hepatocellular carcinoma (HCC). METHODS Patients with advanced HCC or classified as inoperable, with no demonstrated extrahepatic disease and no significant comorbidities were eligible. The patients selected for this study had a single tumoral lesion, measuring less than 150 cc. The range of total activity administered was between 30 and 100 mCi (1.2-3.7) GBq Re-HDD/lipiodol, administered in the super selected branches of the hepatic artery supplying the tumor in 42 Patients. Whole-body scintigraphies and single-photon emission computed tomography-computed tomography (SPECT-CT) of the liver including tumor were performed at four-time points after injection. Absorbed doses to the various organs were calculated according to the Medical Internal Radiation Dose formalism. Blood and urine samples were collected at multiple time points until 72 h after injection. Hematological, hepatic and pulmonary toxicity was assessed until 12 weeks after administration using the Common Toxicity Criteria for Adverse Events (version 3.0) scale. Responses were evaluated on contrast enhanced computed tomography (CECT) and by alfa-fetoprotein (AFP) level monitoring. RESULTS About 40.6 ± 4.8% of the injected activity was excreted in the urine by 72 h after injection. The mean absorbed dose to the liver, lungs, stomach, kidney and intestine was 14.4 ± 1.8, 4.8 ± 0.6, 5.5 ± 1.1, 5.1 ± 0.7, and 6.5 ± 1.0 Gy (mean ± SD), respectively. Up to 6 days after administration, 26 of 44 patients had adverse events consisting of aggravations of preexisting laboratory changes (24 patients), fatigue (5 patients), vomiting (6 patients), fever (2 patients), right hypochondrial pain (8 patients), and pain at site of femoral catheter insertion (8 patients). Toxicity assessment at weeks 6 and 12 revealed two cases of mild worsening of liver function tests and no lung or hematological toxicity noted. Two patients were lost to follow-up after the 6-week visit. The response was assessed on CECT in all the remaining patients and the classification of results was more standardized when using European Association for the Study of the Liver (EASL) criteria rather than response evaluation criteria in solid tumors (RECIST) criteria. According to EASL criteria, 8 patients had a partial response, 28 patients had a complete response, 4 patients had progressive disease and 4 patients with stable disease were reported. Thirty-six patients had a baseline elevated AFP and on follow-up at 6 weeks, 6 of these patients showed stable AFP, progression in 4 patients and 26 showed a reduction. CONCLUSION After the administration of 1.2-3.7 GBq Re-HDD/lipiodol based on empirical activity calculation of 0.8-1.2 mCi/mL of tumor volume, more than half of the patients in the present study had an objective response on imaging and biochemically. No significant adverse side effects were noted and most of the laboratory markers as well as symptoms returned to normal after 48-72 h post-administration. Selective administration of the radiopharmaceutical into the tumor feeding arteries gives a good anti-tumoral effect with minimal side effects and damage to surrounding normal liver tissue.
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Calzadilla-Bertot L, Vilar-Gomez E, Wong VWS, Romero-Gomez M, Aller-de la Fuente R, Wong GLH, Castellanos M, Eslam M, Desai AP, Jeffrey GP, George J, Chalasani N, Adams LA. ABIDE: An Accurate Predictive Model of Liver Decompensation in Patients With Nonalcoholic Fatty Liver-Related Cirrhosis. Hepatology 2021; 73:2238-2250. [PMID: 32978796 DOI: 10.1002/hep.31576] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 08/28/2020] [Accepted: 09/07/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Nonalcoholic fatty liver disease (NAFLD) is an increasingly important cause of liver cirrhosis and subsequent complications. We retrospectively developed and validated a model to predict hepatic decompensation in patients with NAFLD and cirrhosis and compared this with currently available models. APPROACH AND RESULTS Baseline variables from an international cohort of 299 patients with biopsy-proven NAFLD with compensated cirrhosis were examined to construct a model using competing risk multivariate regression and Akaike/Bayesian information criteria. Validation was performed in 244 patients with biopsy-proven NAFLD cirrhosis from the United States. Prognostic accuracy was compared with the NAFLD fibrosis score (NFS), fibrosis-4 (FIB-4), Model for End-Stage Liver Disease (MELD), Child-Turcotte-Pugh (CTP), and albumin-bilirubin (ALBI)-FIB-4 score using time-dependent area under the curve (tAUC) analysis. During a median follow-up of 5.6 years (range 2.4-14.1) and 5.4 years (range 1.5-13.8), hepatic decompensation occurred in 81 and 132 patients in the derivation and validation cohorts, respectively. In the derivation cohort, independent predictors of hepatic decompensation (Aspartate aminotransferase/alanine aminotransferase ratio, Bilirubin, International normalized ratio, type 2 Diabetes, and Esophageal varices) were combined into the ABIDE model. Patients with a score ≥4.1 compared with those with a score <4.1 had a higher risk of decompensation (subhazard ratio, 6.7; 95% confidence interval [CI], 4.0-11.2; P < 0.001), a greater 5-year cumulative incidence (37% vs. 6%, P < 0.001), and shorter mean duration to decompensation (3.8 vs 6.7 years, P < 0.001). The accuracy of the ABIDE model at 5 years was good in the derivation (tAUC, 0.80; 95% CI, 0.73-0.84) and validation cohorts (0.78; 95% CI, 0.74-0.81) and was significantly more accurate than the NFS (0.72), FIB-4 (0.74), MELD (0.69), CTP (0.72), and ALBI-FIB-4 (0.73) (all P < 0.001). CONCLUSIONS In patients with NAFLD and compensated cirrhosis, ABIDE, a predictive model of routine clinical measures, predicts future hepatic decompensation.
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Affiliation(s)
- Luis Calzadilla-Bertot
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, WA, Australia
| | - Eduardo Vilar-Gomez
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN.,Unit for the Clinical Management of Digestive Diseases, Centro para la Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Virgen del Rocio University Hospital, University of Seville, Seville, Spain
| | - Vincent Wai-Sun Wong
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Manuel Romero-Gomez
- Unit for the Clinical Management of Digestive Diseases, Centro para la Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Virgen del Rocio University Hospital, University of Seville, Seville, Spain
| | - Rocio Aller-de la Fuente
- Department of Digestive Disease, Institute of Endocrinology and Nutrition, University of Valladolid, Valladolid, Spain
| | - Grace Lai-Hung Wong
- Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Marlen Castellanos
- Department of Hepatology, National Institute of Gastroenterology, Havana, Cuba
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Archita P Desai
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Gary P Jeffrey
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, WA, Australia.,Department of Hepatology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Naga Chalasani
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Leon A Adams
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, WA, Australia.,Department of Hepatology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
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Zettervall SL, Schermerhorn ML. Reply. J Vasc Surg 2021; 73:1840. [PMID: 33894901 DOI: 10.1016/j.jvs.2020.12.082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 12/17/2020] [Indexed: 11/15/2022]
Affiliation(s)
- Sara L Zettervall
- Division of Vascular Surgery, University of Washington, Seattle, Wash
| | - Marc L Schermerhorn
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
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Debnath P, Rathi P. Prognostic role of systemic inflammatory biomarkers in advanced chronic liver disease. J Hepatol 2021; 74:999-1000. [PMID: 33340583 DOI: 10.1016/j.jhep.2020.11.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 11/23/2020] [Indexed: 02/07/2023]
Affiliation(s)
- Prasanta Debnath
- Gastroenterology Department, Nair Charitable Hospital, Mumbai, India.
| | - Pravin Rathi
- Gastroenterology Department, Nair Charitable Hospital, Mumbai, India
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Omar M, Farid K, Emran T, El-Taweel F, Tabll A, Omran M. HCC-Mark: a simple non-invasive model based on routine parameters for predicting hepatitis C virus related hepatocellular carcinoma. Br J Biomed Sci 2021; 78:72-77. [PMID: 33016838 DOI: 10.1080/09674845.2020.1832371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Early detection of hepatocellular carcinoma (HCC) is crucial in providing more effective therapies. As routine laboratory variables are readily accessible, this study aimed to develop a simple non-invasive model for predicting hepatocellular cancer. METHODS Two groups of patients were recruited: an estimation group (n = 300) and a validation group (n = 625). Each comprised two categories: hepatocellular cancer and liver cirrhosis. Logistic regression analyses and receiver operating characteristic (ROC) curves were used to develop and validate the HCC-Mark model comprising AFP, high-sensitivity C-reactive protein, albumin and platelet count. This model was tested in cancer patients classified by the Barcelona Clinic Liver Cancer (BCLC), Cancer of Liver Italian Program (CLIP) and Okuda systems, and was compared with other non-invasive models for predicting hepatocellular cancer. RESULTS HCC-Mark produced a ROC AUC of 0.89 (95% CI 0.85-0.90) for discriminating hepatocellular carcinoma from liver cirrhosis in the estimation group and 0.90 (0.86-0.90) in the validation group (both p < 0.0001). This AUC exceeded all other models, that had AUCs from 0.41 to 0.81. AUCs of HCC-Mark for discriminating patients with a single focal lesion, absent macrovascular invasion, tumour size <2 cm, BCLC (0-A), CLIP (0-1) and Okuda (stage Ι) from cirrhotic patients were 0.88 (0.85-0.90), 0.87 (0.85-0.89), 0.89 (0.85-0.93), 0.87 (0.84-0.89), 0.85 (0.82-0.87) and 0.86 (0.83-0.89), respectively (all p < 0.0001). CONCLUSION HCC-Mark is an accurate and validated model for the detection of hepatocellular cancer and certain of its clinical features.
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Affiliation(s)
- M Omar
- Chemistry Department, Faculty of Science, Damietta University , Damietta, Egypt
| | - K Farid
- Tropical Medicine Department, Faculty of Medicine, Mansoura University , Mansoura, Egypt
| | - T Emran
- Clinical Pathology Department, Faculty of Medicine, Al-Azhar University , Damietta, Egypt
| | - F El-Taweel
- Chemistry Department, Faculty of Science, Damietta University , Damietta, Egypt
| | - A Tabll
- Microbial Biotechnology Department, National Research Centre , Giza, Egypt
- Department of Immunology, Egypt Center for Research and Regenerative Medicine (ECRRM) , Cairo, Egypt
| | - M Omran
- Chemistry Department, Faculty of Science, Helwan University , Cairo, Egypt
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Elkilany A, Geisel D, Müller T, Fischer A, Denecke T. Gadoxetic acid-enhanced MRI in primary sclerosing cholangitis: added value in assessing liver function and monitoring disease progression. Abdom Radiol (NY) 2021; 46:979-991. [PMID: 32918576 PMCID: PMC8257540 DOI: 10.1007/s00261-020-02731-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 08/20/2020] [Accepted: 08/30/2020] [Indexed: 11/12/2022]
Abstract
PURPOSE To investigate the added value of gadoxetic acid-enhanced MRI in monitoring liver function and disease progression in patients with primary sclerosing cholangitis (PSC). METHODS We retrospectively identified 104 consecutive patients (75 males; mean age 41.98 ± 12.5 years) with confirmed diagnosis of PSC who underwent 227 gadoxetic acid-enhanced MRI examinations between January 2008 and May 2019. Relative enhancement (RE) of the liver was correlated with the results of liver function tests (LFTs), scoring models (Model for End-Stage Liver Disease (MELD) score, Mayo Risk Score (MRS), Amsterdam-Oxford model (AOM)), and qualitative MRI findings. In addition, results were analyzed separately for excretory MRI examinations (n = 164) and nonexcretory examinations (n = 63) depending on excretion of gadoxetic acid into the common bile duct in the hepatobiliary phase (HBP). RESULTS There was a significant correlation of RE with MRS (r = - 0.652), MELD score (r = - 0.474), AOM (r = - 0.468), and LFTs (P < 0.001). RE and albumin were significantly higher in the excretory group whereas scoring models, bilirubin, aspartate aminotransferase, alkaline phosphatase, and international normalized ratio were lower (P < 0.001). RE was lower in segments with absent HBP gadoxetic acid excretion into dilated bile ducts, reduced HBP parenchymal enhancement, atrophy, T2 hyperintensity, and bile duct abnormalities (P < 0.001). CONCLUSION Relative enhancement of the liver in gadoxetic acid-enhanced MRI can be used to evaluate global and regional liver function and monitor disease progression in patients with PSC. Hepatobiliary phase gadoxetic acid biliary excretion appears to be a reproducible qualitative parameter for evaluating disease severity that can be easily integrated into routine clinical practice.
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Affiliation(s)
- Aboelyazid Elkilany
- Department of Diagnostic and Interventional Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany.
| | - Dominik Geisel
- Department of Diagnostic and Interventional Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Tobias Müller
- Division of Gastroenterology and Hepatology, Department of Medicine, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Andreas Fischer
- Division of Gastroenterology and Hepatology, Department of Medicine, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, Universitätsklinikum Leipzig, Leipzig, Germany
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Basho K, Zoldan K, Schultheiss M, Bettinger D, Globig AM, Bengsch B, Neumann-Haefelin C, Klocperk A, Warnatz K, Hofmann M, Thimme R, Boettler T. IL-2 contributes to cirrhosis-associated immune dysfunction by impairing follicular T helper cells in advanced cirrhosis. J Hepatol 2021; 74:649-660. [PMID: 33211012 DOI: 10.1016/j.jhep.2020.10.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 09/29/2020] [Accepted: 10/12/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Patients with decompensated cirrhosis suffer from recurrent infections and inadequate responses to prophylactic vaccinations. However, many patients present with hypergammaglobulinemia (HGG), indicating a sustained ability to generate antibody responses. As follicular T helper (Tfh) cells are central facilitators of humoral immunity, we hypothesized that Tfh cell responses may be altered in advanced liver disease and we aimed to identify the mechanisms underlying any such alterations. METHODS Tfh, regulatory T (Treg) cells, B cells, circulating cytokines and immunoglobulins were analyzed in cohorts of patients with compensated (n = 37) and decompensated cirrhosis (n = 82) and in non-cirrhotic controls (n = 45). Intrahepatic T cells were analyzed in 8 decompensated patients. The influence of IL-2 on Tfh cell function was evaluated in vitro, including Tfh cell cloning and T cell-B cell co-cultures with clones and primary tonsil-derived Tfh cells. RESULTS Tfh cell frequencies were reduced in patients with decompensated cirrhosis, with phenotypic signatures indicative of increased IL-2 signaling. Soluble IL-2 receptor (sCD25) was elevated in these patients and CD4 T cells were more responsive to IL-2 signaling, as characterized by STAT5 phosphorylation. IL-2 exposure in vitro diminished the Tfh phenotype and resulted in impaired Tfh helper function in co-culture experiments with naïve B cells. Tfh cells were barely detectable in cirrhotic livers. IL-2 signatures on Tfh cells in decompensated patients correlated with immunoglobulin levels, which were found to be associated with improved survival. CONCLUSIONS Tfh cell impairment represents a previously underestimated feature of cirrhosis-associated immune dysfunction that is driven by IL-2. The presence of HGG in decompensated patients predicts an intact Tfh cell compartment and is associated with a favorable outcome. LAY SUMMARY Patients with advanced cirrhosis often fail to generate protective immunity after prophylactic vaccinations and suffer from recurring infections that are associated with high mortality. Follicular T helper (Tfh) cells are specialized CD4 T cells that enable the emergence of antibody responses against microbial pathogens. This report demonstrates that Tfh cells are impaired in patients with advanced cirrhosis due to interleukin-2 signaling, a cytokine that is known to impair the generation of Tfh cells.
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Affiliation(s)
- Kristi Basho
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Katharina Zoldan
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Michael Schultheiss
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Dominik Bettinger
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany; Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany
| | - Anna-Maria Globig
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany; Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany
| | - Bertram Bengsch
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Christoph Neumann-Haefelin
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Adam Klocperk
- Faculty of Medicine, University of Freiburg, Germany; Department of Rheumatology and Clinical Immunology, Medical Center - University of Freiburg, Germany; Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, Germany; Department of Immunology, 2nd Faculty of Medicine, Charles University in Prague and University Hospital in Motol, Prague, Czech Republic
| | - Klaus Warnatz
- Faculty of Medicine, University of Freiburg, Germany; Department of Rheumatology and Clinical Immunology, Medical Center - University of Freiburg, Germany; Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, Germany
| | - Maike Hofmann
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Robert Thimme
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany
| | - Tobias Boettler
- Department of Medicine II, Medical Center - University of Freiburg, Germany; Faculty of Medicine, University of Freiburg, Germany; Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany.
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D'Amico G, Perricone G, Morabito A, Latteri F, Filì D, Affronti A, Pietrosi G, Maida M, Rizzo GEM, Bronte F, Petridis I, Bavetta MG, Volpes R, Malizia G, Luca A. Model for end stage liver disease for prediction of mortality in people with cirrhosis. Hippokratia 2021. [DOI: 10.1002/14651858.cd013849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | - Giovanni Perricone
- S.C. Epatologia e Gastroenterologia; Azienda Socio-Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda; Milan Italy
| | - Alberto Morabito
- Istituto di Statistica Medica e Biometria; Universita di Milano; Milano Italy
| | | | | | | | | | - Marcello Maida
- Gastroenterology and Endoscopy Unit; S Elia - Raimondi Hospital - Caltanissetta; Caltanissetta Italy
| | | | | | | | | | | | | | - Angelo Luca
- Hepatology; CEO, IRCCS-ISMETT; Palermo Italy
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Yu M, Li X, Lu Y, Jie Y, Li X, Shi X, Zhong S, Wu Y, Xu W, Liu Z, Chong Y. Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation. Front Med (Lausanne) 2021; 8:748915. [PMID: 34790679 PMCID: PMC8591055 DOI: 10.3389/fmed.2021.748915] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 09/21/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Patients with chronic hepatitis B (CHB) with severe acute exacerbation (SAE) are at a progression stage of acute-on-chronic liver failure (ACLF) but uniform models for predicting ACLF occurrence are lacking. We aimed to present a risk prediction model to early identify the patients at a high risk of ACLF and predict the survival of the patient. Methods: We selected the best variable combination using a novel recursive feature elimination algorithm to develop and validate a classification regression model and also an online application on a cloud server from the training cohort with a total of 342 patients with CHB with SAE and two external cohorts with a sample size of 96 and 65 patients, respectively. Findings: An excellent prediction model called the PATA model including four predictors, prothrombin time (PT), age, total bilirubin (Tbil), and alanine aminotransferase (ALT) could achieve an area under the receiver operating characteristic curve (AUC) of 0.959 (95% CI 0.941-0.977) in the development set, and AUC of 0.932 (95% CI 0.876-0.987) and 0.905 (95% CI 0.826-0.984) in the two external validation cohorts, respectively. The calibration curve for risk prediction probability of ACLF showed optimal agreement between prediction by PATA model and actual observation. After predictive stratification into different risk groups, the C-index of predictive 90-days mortality was 0.720 (0.675-0.765) for the PATA model, 0.549 (0.506-0.592) for the end-stage liver disease score model, and 0.648 (0.581-0.715) for Child-Turcotte-Pugh scoring system. Interpretation: The highlypredictive risk model and easy-to-use online application can accurately predict the risk of ACLF with a poor prognosis. They may facilitate risk communication and guidetherapeutic options.
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Affiliation(s)
- Mingxue Yu
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiangyong Li
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yaxin Lu
- The Department of Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yusheng Jie
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xinhua Li
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xietong Shi
- The Department of Infectious Disease, Jieyang People's Hospital (Jieyang Affiliated Hospital of Sun Yat-sen University), Jieyang, China
| | - Shaolong Zhong
- The Department of Infectious Disease, Jieyang People's Hospital (Jieyang Affiliated Hospital of Sun Yat-sen University), Jieyang, China
| | - Yuankai Wu
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wenli Xu
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zifeng Liu
- The Department of Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Zifeng Liu
| | - Yutian Chong
- TheDepartment of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- *Correspondence: Yutian Chong
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Chung HS, Woo AM, Chae MS, Hong SH, Park CS, Choi JH, Jo YS. Combined B-type Natriuretic Peptide as strong predictor of short-term mortality in patients after Liver Transplantation. Int J Med Sci 2021; 18:2500-2509. [PMID: 34104081 PMCID: PMC8176164 DOI: 10.7150/ijms.54202] [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: 10/08/2020] [Accepted: 04/14/2021] [Indexed: 12/07/2022] Open
Abstract
Background: B-type natriuretic peptide (BNP) is a well-known predictor for prognosis in patients with cardiac and renal diseases. However, there is a lack of studies in patients with advanced hepatic disease, especially patients who underwent liver transplantation (LT). We evaluated whether BNP could predict the prognosis of patients who underwent LT. Material and Methods: The data from a total of 187 patients who underwent LT were collected retrospectively. The serum levels of BNP were acquired at four time points, the pre-anhepatic (T1), anhepatic (T2), and neohepatic phases (T3), and on postoperative day 1 (T4). The patients were dichotomized into survival and non-survival groups for 1-month mortality after LT. Combined BNP (cBNP) was calculated based on conditional logistic regression analysis of pairwise serum BNP measurements at two time points, T2 and T4. The area under the receiver operating characteristic curve (AUROC) was analyzed to determine the diagnostic accuracy and cut-off value of the predictive models, including cBNP. Results: Fourteen patients (7.5 %) expired within one month after LT. The leading cause of death was sepsis (N = 9, 64.3 %). The MELD and MELD-Na scores had an acceptable predictive ability for 1-month mortality (AUROC = 0.714, and 0.690, respectively). The BNPs at each time point (T1 - T4) showed excellent predictive ability (AUROC = 0.864, 0.962, 0.913, and 0.963, respectively). The cBNP value had an outstanding predictive ability for 1-month mortality after LT (AUROC = 0.976). The optimal cutoff values for cBNP at T2 and T4 were 137 and 187, respectively. Conclusions: The cBNP model showed the improved predictive ability for mortality within 1-month of LT. It could help clinicians stratify mortality risk and be a useful biomarker in patients undergoing LT.
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Affiliation(s)
- Hyun Sik Chung
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - AMi Woo
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Min Suk Chae
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sang Hyun Hong
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chul Soo Park
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jong Ho Choi
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yun Sung Jo
- Department of Obstetrics and Gynecology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Gyeonggi, Republic of Korea
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Sarmast N, Ogola GO, Kouznetsova M, Leise MD, Bahirwani R, Maiwall R, Tapper E, Trotter J, Bajaj JS, Thacker LR, Tandon P, Wong F, Reddy KR, O'Leary JG, Masica A, Modrykamien AM, Kamath PS, Asrani SK. Model for End-Stage Liver Disease-Lactate and Prediction of Inpatient Mortality in Patients With Chronic Liver Disease. Hepatology 2020; 72:1747-1757. [PMID: 32083761 DOI: 10.1002/hep.31199] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 01/11/2020] [Accepted: 01/29/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Compared to other chronic diseases, patients with chronic liver disease (CLD) have significantly higher inpatient mortality; accurate models to predict inpatient mortality are lacking. Serum lactate (LA) may be elevated in patients with CLD due to both tissue hypoperfusion as well as decreased LA clearance. We hypothesized that a parsimonious model consisting of Model for End-Stage Liver Disease (MELD) and LA at admission may predict inpatient mortality in patients with CLD. APPROACH AND RESULTS We examined all patients with CLD in two large and diverse health care systems in Texas (North Texas [NTX] and Central Texas [CTX]) between 2010 and 2015. We developed (n = 3,588) and validated (n = 1,804) a model containing MELD and LA measured at the time of hospitalization. We further validated the model in a second cohort of 14 tertiary care hepatology centers that prospectively enrolled nonelective hospitalized patients with cirrhosis (n = 726). MELD-LA was an excellent predictor of inpatient mortality in development (concordance statistic [C-statistic] = 0.81, 95% confidence interval [CI] 0.79-0.82) and both validation cohorts (CTX cohort, C-statistic = 0.85, 95% CI 0.78-0.87; multicenter cohort C-statistic = 0.82, 95% CI 0.74-0.88). MELD-LA performed especially well in patients with specific cirrhosis diagnoses (C-statistic = 0.84, 95% CI 0.81-0.86) or sepsis (C-statistic = 0.80, 95% CI 0.78-0.82). For MELD score 25, inpatient mortality rates were 11.2% (LA = 1 mmol/L), 19.4% (LA = 3 mmol/L), 34.3% (LA = 5 mmol/L), and >50% (LA > 8 mmol/L). A linear increase (P < 0.01) was seen in MELD-LA and increasing number of organ failures. Overall, use of MELD-LA improved the risk prediction in 23.5% of patients compared to MELD alone. CONCLUSIONS MELD-LA (bswh.md/meldla) is an early and objective predictor of inpatient mortality and may serve as a model for risk assessment and guide therapeutic options.
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Affiliation(s)
- Naveed Sarmast
- Baylor University Medical Center, Baylor Scott and White, Dallas, TX
| | - Gerald O Ogola
- Center for Clinical Effectiveness, Baylor Scott and White, Dallas, TX
| | - Maria Kouznetsova
- Center for Clinical Effectiveness, Baylor Scott and White, Dallas, TX
| | | | | | - Rakhi Maiwall
- Institute of Liver and Biliary Sciences, New Delhi, India
| | | | - James Trotter
- Baylor University Medical Center, Baylor Scott and White, Dallas, TX
| | | | | | | | | | | | | | - Andrew Masica
- Center for Clinical Effectiveness, Baylor Scott and White, Dallas, TX
| | | | | | - Sumeet K Asrani
- Baylor University Medical Center, Baylor Scott and White, Dallas, TX
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Hepatic Encephalopathy and Spontaneous Bacterial Peritonitis Improve Cirrhosis Outcome Prediction: A Modified Seven-Stage Model as a Clinical Alternative to MELD. J Pers Med 2020; 10:jpm10040186. [PMID: 33105871 PMCID: PMC7711993 DOI: 10.3390/jpm10040186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/11/2020] [Accepted: 10/15/2020] [Indexed: 12/15/2022] Open
Abstract
Classification of cirrhosis based on clinical stages is rapid and based on five stages at present. Two other relevant events, hepatic encephalopathy (HE) and spontaneous bacterial peritonitis (SBP), can be considered in a clinical perspective but no study has implemented a seven-stage classification and confirmed its value before. In addition, long-term validation of the Model for End-Stage Liver Disease (MELD) in large cohorts of patients with cirrhosis and comparison with clinical findings are insufficient. Therefore, we performed a study to address these items. From the Chang-Gung Research Database (CGRD), 20,782 patients with cirrhosis were enrolled for an historical survival study. The MELD score, the five-stage clinical score (i.e., occurrence of esophageal varices (EV), EV bleeding, ascites, sepsis) and a novel seven-stage clinical score (i.e., occurrence of EV, EV bleeding, ascites, sepsis, HE, SBP) were compared with their Cox models by receiver operating characteristic (ROC) analysis. The addition of HE and SBP to the seven-stage model had a 5% better prediction result than the five-stage model did in the survival ROC analysis. The result showed that the seven clinical stages are associated with an increased risk for mortality. However, the predicted performances of the seven-stage model and MELD system are likely equivalent. In conclusion, the study (i) proved that clinical staging of cirrhosis based on seven items/stages had higher prognostic value than the five-stage model and (ii) confirmed the validity of the MELD criteria vs. clinical assessment.
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Prediction of Perioperative Mortality of Cadaveric Liver Transplant Recipients During Their Evaluations. Transplantation 2020; 103:e297-e307. [PMID: 31283673 PMCID: PMC6756253 DOI: 10.1097/tp.0000000000002810] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Supplemental Digital Content is available in the text. There are no instruments that can identify patients at an increased risk of poor outcomes after liver transplantation (LT) based only on their preoperative characteristics. The primary aim of this study was to develop such a scoring system. Secondary outcomes were to assess the discriminative performance of the predictive model for 90-day mortality, 1-year mortality, and 5-year patient survival.
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Bohra A, Worland T, Hui S, Terbah R, Farrell A, Robertson M. Prognostic significance of hepatic encephalopathy in patients with cirrhosis treated with current standards of care. World J Gastroenterol 2020; 26:2221-2231. [PMID: 32476788 PMCID: PMC7235207 DOI: 10.3748/wjg.v26.i18.2221] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/27/2020] [Accepted: 04/30/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Hepatic encephalopathy (HE) is a reversible neuropsychiatric complication of liver cirrhosis and occurs in up to 50% of cirrhotic patients. Studies examining the prognostic significance of HE are limited despite the high prevalence in cirrhosis.
AIM To define the clinical outcomes of patients after an episode of HE treated with current standards-of-care.
METHODS All patients hospitalised with HE requiring Rifaximin to 3 tertiary centres over 46-mo (2012–2016) were identified via pharmacy dispensing records. Patients with hepatocellular carcinoma and those prescribed Rifaximin prior to admission were excluded. Medical records were reviewed to determine baseline characteristics and survival. The Kaplan-Meier method was used to calculate survival probability. Univariate survival analysis was performed with variables reaching statistical significance included in a multivariate analysis. The primary outcome was 12-mo mortality following commencement of Rifaximin.
RESULTS 188 patients were included. Median age was 57 years (IQR 50-65), 71% were male and median model for end stage liver disease and Child Pugh scores were 25 (IQR 18-31) and 11 (IQR 9-12) respectively. The most common causes of cirrhosis were alcohol (62%), hepatitis C (31%) and non-alcoholic fatty liver disease (20%). A precipitating cause for HE was found in 92% patients with infection (43%), GI bleeding (16%), medication non-compliance (15%) and electrolyte imbalance (14%) the most common. During a mean follow up period of 12 ± 13 mo 107 (57%) patients died and 32 (17%) received orthotopic liver transplantation. The most common causes of death were decompensated chronic liver disease (57%) and sepsis (19%). The probability of survival was 44% and 35% at 12- and 24-mo respectively. At multivariate analysis a model for end stage liver disease > 15 and international normalised ratio reached statistical significance in predicting mortality.
CONCLUSION Despite advances made in the management of HE patients continue to have poor survival. Thus, in all patients presenting with HE the appropriateness of orthotopic liver transplantation should be considered.
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Affiliation(s)
- Anuj Bohra
- Department of Gastroenterology, Monash Health, Clayton 3168, Victoria, Australia
| | - Thomas Worland
- Department of Gastroenterology, Monash Health, Clayton 3168, Victoria, Australia
- Department of Gastroenterology, Austin Health, Heidelberg 3084, Victoria, Australia
| | - Samuel Hui
- Department of Gastroenterology, Monash Health, Clayton 3168, Victoria, Australia
| | - Ryma Terbah
- Department of Gastroenterology, Austin Health, Heidelberg 3084, Victoria, Australia
| | - Ann Farrell
- Department of Gastroenterology, Monash Health, Clayton 3168, Victoria, Australia
| | - Marcus Robertson
- Department of Gastroenterology, Monash Health, Clayton 3168, Victoria, Australia
- Department of Gastroenterology, Austin Health, Heidelberg 3084, Victoria, Australia
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton 3168, Victoria, Australia
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Survival of Patients with Hepatocellular Carcinoma in Renal Insufficiency: Prognostic Role of Albumin-Bilirubin Grade. Cancers (Basel) 2020; 12:cancers12051130. [PMID: 32366000 PMCID: PMC7281166 DOI: 10.3390/cancers12051130] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 04/22/2020] [Accepted: 04/28/2020] [Indexed: 02/08/2023] Open
Abstract
Renal insufficiency (RI) is commonly seen in patients with hepatocellular carcinoma (HCC). The prognostic role of albumin-bilirubin (ALBI) grade in this special setting is unclear. We aimed to investigate the role of ALBI grade associated with the impact of RI on HCC. A prospective cohort of 3690 HCC patients between 2002 and 2016 were retrospectively analyzed. The Kaplan-Meier method and multivariate Cox proportional hazards model were used to determine survival and independent prognostic predictors. Of all patients, RI was an independent predictor associated with decreased survival. In multivariate Cox analysis for patients with RI, α-fetoprotein level ≥20 ng/mL, tumor size >3 cm, vascular invasion, distant metastasis, presence of ascites, performance status 1-2, performance status 3-4, and ALBI grade 2 and grade 3 were independent predictors of decreased survival (all p < 0.05). In subgroup analysis of patients with RI undergoing curative and non-curative treatments, the ALBI grade remained a significant prognostic predictor associated with decreased survival (p < 0.001). In summary, HCC patients with RI have decreased survival compared to those without RI. The ALBI grade can discriminate the survival in patients with RI independent of treatment strategy and is a feasible prognostic tool in this special patient population.
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Predicting Short-term Survival after Liver Transplantation using Machine Learning. Sci Rep 2020; 10:5654. [PMID: 32221367 PMCID: PMC7101323 DOI: 10.1038/s41598-020-62387-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/10/2020] [Indexed: 02/07/2023] Open
Abstract
Liver transplantation is one of the most effective treatments for end-stage liver disease, but the demand for livers is much higher than the available donor livers. Model for End-stage Liver Disease (MELD) score is a commonly used approach to prioritize patients, but previous studies have indicated that MELD score may fail to predict well for the postoperative patients. This work proposes to use data-driven approach to devise a predictive model to predict postoperative survival within 30 days based on patient’s preoperative physiological measurement values. We use random forest (RF) to select important features, including clinically used features and new features discovered from physiological measurement values. Moreover, we propose a new imputation method to deal with the problem of missing values and the results show that it outperforms the other alternatives. In the predictive model, we use patients’ blood test data within 1–9 days before surgery to construct the model to predict postoperative patients’ survival. The experimental results on a real data set indicate that RF outperforms the other alternatives. The experimental results on the temporal validation set show that our proposed model achieves area under the curve (AUC) of 0.771 and specificity of 0.815, showing superior discrimination power in predicting postoperative survival.
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Development and Validation of a Nomogram to Preoperatively Estimate Post-hepatectomy Liver Dysfunction Risk and Long-term Survival in Patients With Hepatocellular Carcinoma. Ann Surg 2020; 274:e1209-e1217. [PMID: 32097166 DOI: 10.1097/sla.0000000000003803] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To develop a nomogram to estimate the risk of SPLD (International Study Group of Liver Surgery definition grade B or C) and long-term survival in patients with HCC before hepatectomy. BACKGROUND SPLD is the leading cause of post-hepatectomy mortality. The decision to refer an HCC patient for hepatectomy is mainly based on the survival benefit and SPLD risk. Prediction of SPLD risk before hepatectomy is of great significance. METHODS A total of 2071 consecutive patients undergoing hepatectomy for HCC were recruited and randomly divided into the development cohort (n = 1036) and internal validation cohort (n = 1035). Five hundred ninety patients from another center were enrolled as the external validation cohort. A nomogram was developed based on independent preoperative predictors of SPLD determined in multivariable logistic regression analysis. RESULTS The SPLD incidences in the development, internal, and external validation cohorts were 10.1%, 9.5%, and 8.6%, respectively. Multivariable analysis identified total bilirubin, albumin, gamma-glutamyl transpeptidase, prothrombin time, clinically significant portal hypertension, and major resection as independent predictors for SPLD. Incorporating these variables, the nomogram showed good concordance statistics of 0.883, 0.851, and 0.856, respectively in predicting SPLD in the 3 cohorts. Its predictive performance in SPLD, 90-day mortality, and overall survival (OS) outperformed Child-Pugh, model for end-stage liver disease, albumin-bilirubin, and European Association for the Study of the Liver recommended algorithm. With a nomogram score of 137, patients were stratified into low and high risk of SPLD. High-risk patients also had decreased OS. CONCLUSIONS The nomogram showed good performance in predicting both SPLD and OS. It could help surgeons select suitable HCC patients for hepatectomy.
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Knoblich T, Hinz U, Stravodimos C, Schön MR, Mehrabi A, Büchler MW, Hoffmann K. Comparison of score-based prediction of 90-day mortality after liver resection. BMC Surg 2020; 20:19. [PMID: 31996202 PMCID: PMC6990529 DOI: 10.1186/s12893-020-0678-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 01/06/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Indications for liver surgery are expanding fast and complexity of procedures increases. Preoperative mortality risk assessment by scoring systems is debatable. A previously published externally validated Mortality Risk Score allowed easy applicable and precise prediction of postoperative mortality. Aim of the study was to compare the performance of the Mortality Risk Score with the standard scores MELD and P-POSSUM. METHODS Data of 529 patients undergoing liver resection were analysed. Mortality Risk Score, the labMELD Score and the P-POSSUM Scores (PS, OS, P-POSSUM mortality %) were calculated. The ROC curves of the three scoring systems were computed and the areas under the curve (C-index) were calculated using logistic regression models. Comparisons between the ROC curves were performed using the corresponding Wald tests. RESULTS Internal validation confirmed that the risk model was predictive for a 90-day mortality rate with a C-index of 0.8421. The labMELD Score had a C-index of 0.7352 and the P-POSSUM system 0.6795 (PS 0.6953, OS 0.5413). The 90-day mortality rate increased with increasing labMELD values (p < 0.0001). Categorized according to the Mortality Risk Score Groups the labMELD Score showed a linear increase while the POSSUM Scores showed variable results. CONCLUSIONS By accurately predicting the risk of postoperative mortality after liver surgery the Mortality Risk Score should be useful at the selection stage. Prediction can be adjusted by use of the well-established labMELD Score. In contrast, the performance of standard P-POSSUM Scores is limited.
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Affiliation(s)
- Tanja Knoblich
- Department of General, Visceral and Transplant Surgery, Ruprecht-Karls University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Ulf Hinz
- Department of General, Visceral and Transplant Surgery, Ruprecht-Karls University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Christos Stravodimos
- Department of General and Visceral Surgery, Städtisches Klinikum, Moltkestraße 90, 76133, Karlsruhe, Germany
| | - Michael R Schön
- Department of General and Visceral Surgery, Städtisches Klinikum, Moltkestraße 90, 76133, Karlsruhe, Germany
| | - Arianeb Mehrabi
- Department of General, Visceral and Transplant Surgery, Ruprecht-Karls University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Markus W Büchler
- Department of General, Visceral and Transplant Surgery, Ruprecht-Karls University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Katrin Hoffmann
- Department of General, Visceral and Transplant Surgery, Ruprecht-Karls University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
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Zettervall SL, Dansey K, Swerdlow NJ, Soden P, Evenson A, Schermerhorn ML. Aspartate transaminase to platelet ratio index and Model for End-Stage Liver Disease scores are associated with morbidity and mortality after endovascular aneurysm repair among patients with liver dysfunction. J Vasc Surg 2020; 72:904-909. [PMID: 31964569 DOI: 10.1016/j.jvs.2019.10.101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 10/26/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND Liver cirrhosis dramatically increases morbidity and mortality after open surgical procedures and is often a contraindication to open repair of abdominal aortic aneurysms. However, limited data have evaluated the effect of liver disease on outcomes after endovascular repair of aortic aneurysms. METHODS The National Surgical Quality Improvement Program was used to evaluate all nonemergent endovascular aneurysm repairs (EVARs) from 2005 to 2016. The aspartate transaminase to platelet ratio index is a sensitive, noninvasive screening tool used to screen for liver disease and was calculated for all patients. A value >0.5 was used to identify those with significant liver fibrosis. Demographics, comorbidities, and 30-day outcomes were then compared between patients with and patients without fibrosis. Additional analysis was then completed to assess the effect of increasing Model for End-Stage Liver Disease (MELD) score on 30-day outcomes. Multivariable regression was used to account for differences in baseline factors. RESULTS EVAR was performed on 18,484 patients including 2286 with liver fibrosis and 16,198 without. Patients with liver fibrosis had an increased 30-day mortality (1.5% vs 2.4%; P < .01) and significantly higher rates of major morbidities including return to the operating room, pulmonary complications, transfusion, and discharge other than home. After multivariable analysis, patients with liver fibrosis had a significant increase in 30-day mortality (odds ratio [OR], 1.5; 95% confidence interval [CI], 1.1-2.1), return to the operating room (OR, 1.5; 95% CI, 1.2-1.8), pulmonary complications (OR, 1.6; 95% CI, 1.2-2.0), transfusion (OR, 1.7; 95% CI, 1.5-2.0), and discharge other than home (OR, 1.5; 95% CI, 1.3-1.8). In further analysis, mortality also increased in a stepwise fashion with increasing MELD score (MELD <10, 1.3%; MELD 10-15, 2.3%; MELD >15, 4.7%; P < .01), as did major complications (MELD <10, 7%; MELD 10-15, 11%; MELD >15, 15%; P < .01). These increases persisted in adjusted analysis. CONCLUSIONS Liver fibrosis significantly increases mortality and major morbidity after EVAR. The aspartate transaminase to platelet ratio index and MELD score should be used for preoperative risk stratification. Moreover, current 30-day morbidity and mortality rates among patients with MELD scores >10 exceed 5%, which is higher than the annual rupture risk for aneurysms <6 cm. Therefore, an increased size threshold of >6 cm may be warranted before EVAR in patients with liver fibrosis.
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Affiliation(s)
- Sara L Zettervall
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Kirsten Dansey
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Nicholas J Swerdlow
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Peter Soden
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Amy Evenson
- Division of Transplantation, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Marc L Schermerhorn
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass.
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Min JY, Woo AM, Chae MS, Hong SH, Park CS, Choi JH, Chung HS. Predictive Impact of Modified-Prognostic Nutritional Index for Acute Kidney Injury within 1-week after Living Donor Liver Transplantation. Int J Med Sci 2020; 17:82-88. [PMID: 31929741 PMCID: PMC6945553 DOI: 10.7150/ijms.39014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 11/07/2019] [Indexed: 12/12/2022] Open
Abstract
Background. Acute kidney injury (AKI) is one of the common complications after living donor liver transplantation (LDLT) and is associated with increased mortality and morbidity. The prognostic nutritional index (PNI) has been used as a predictive model for postoperative complications. Here, we create a new predictive model based on the PNI and compared its predictive accuracy to other models in patients who underwent LDLT. Material and Methods: The data from 423 patients were collected retrospectively. The patients were dichotomized into the non-AKI and the AKI groups. Multivariate adjustment for significant postoperative variables based on univariate analysis was performed. A new predictive model was created using the results from logistic regression analysis, dubbed the modified-PNI model (mPNI). The area under the receiver operating characteristic curve (AUC) was generated to determine the diagnostic accuracy and cutoff value of individual models. The net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to investigate diagnostic improvement by the mPNI. Results: Fifty-four patients (12.7 %) were diagnosed with AKI within 1-week after LDLT. The mPNI had the highest predictive accuracy (AUC = 0.823). The model of end-stage liver disease (MELD) scores and PNI were 0.793 and 0.749, respectively, and the INR and serum bilirubin were 0.705 and 0.637, respectively. The differences in the AUCs were statistically significant among the mPNI, PNI, INR, and serum bilirubin. The cutoff value for mPNI was 8.7. The NRI was 10.4% and the IDI was 3.3%. Conclusions: The mPNI predicted AKI within 1-week better than other scoring systems in patients who underwent LDLT. The recommended cutoff value of mPNI is 8.7.
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Affiliation(s)
- Ji Young Min
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - AMi Woo
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Min Suk Chae
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sang Hyun Hong
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chul Soo Park
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jong Ho Choi
- Department of Anesthesiology and Pain Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyun Sik Chung
- Department of Anesthesiology and Pain Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Raafat Rowida I, Eshra KA, El-Sharaby RM, Eissa R, Saied SM, Amer I, El Sharawy S. Apa1 (rs7975232) SNP in the vitamin D receptor is linked to hepatocellular carcinoma in hepatitis C virus cirrhosis. Br J Biomed Sci 2019; 77:53-57. [PMID: 31682785 DOI: 10.1080/09674845.2019.1680166] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: As hepatocellular carcinoma (HCC) arising from chronic hepatitis C virus (HCV) infection in liver cirrhosis is a major problem in public health, early and rapid prediction of HCC is urgent. We hypothesized that a single nucleotide polymorphism in the Apa1 SNP in the vitamin D receptor may help diagnosis.Methods: We recruited 3 groups: 80 HCC patients with HCV cirrhosis, 80 HCV cirrhotic patients free of HCC and 80 healthy controls. Apa1 rs7975232 SNP was detected by PCR- RFLP technique. Routine laboratory markers were determined by standard methods.Results: The Apa1 CC genotype was more frequent (75%) in HCC than in the cirrhosis (35%) and control (20%) groups (P<0.0001). CC patients were more likely to have a more severe Child-Pugh score (P=0.027) and MELD score (P<0.05). In multivariate analysis, the CC genotype out-performed AFP is determining HCC.Conclusion: Apa1 CC genotype is linked to HCC in HCV C cirrhotic patients, and so has the potential to be an independent biomarker predictor for HCC occurrence in HCV cirrhosis.
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Affiliation(s)
- I Raafat Rowida
- Medical Biochemistry & Molecular Biology Department, Tanta University, Tanta, Egypt
| | - K A Eshra
- Microbiology & Immunology Department, Tanta University, Tanta, Egypt
| | - R M El-Sharaby
- Clinical Pathology Department, Tanta University, Tanta, Egypt
| | - Rae Eissa
- Microbiology & Immunology Department, Tanta University, Tanta, Egypt
| | - S M Saied
- Public Health & Community Medicine Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - I Amer
- Hepatology, Gastroenterology & infectious diseases Department, Faculty of Medicine, Kafrelsheikh University, Kafr ash Shaykh, Egypt
| | - S El Sharawy
- Tropical Medicine Department, Faculty of Medicine, Tanta University, Tanta, Egypt
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Abstract
Sarcopenia, frailty, and malnutrition are prevalent complications in patients with end-stage liver disease (ESLD) and are associated with increased risk of morbidity and mortality. It is valuable to measure nutritional status, sarcopenia, and frailty over time in order to create interventions tailored to individuals with ESLD. Evaluating sarcopenia and frailty in patients with ESLD is challenging. Further work is needed to perfect these assessments so that clinicians can incorporate these assessments into their decision-making and management plans for cirrhotic patients.
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Affiliation(s)
- Elizabeth S Aby
- Department of Medicine, University of California at Los Angeles, UCLA Medical Center, 757 Westwood Plaza, Suite 7501, Los Angeles, CA 90095, USA. https://twitter.com/lizabmn47
| | - Sammy Saab
- Department of Medicine, University of California at Los Angeles, UCLA Medical Center, 757 Westwood Plaza, Suite 7501, Los Angeles, CA 90095, USA; Department of Surgery, University of California at Los Angeles, Los Angeles, CA, USA.
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Patel M, Puangsricharoen P, Arshad HMS, Garrison S, Techasatian W, Ghabril M, Sandrasegaran K, Liangpunsakul S, Tann M. Does providing routine liver volume assessment add value when performing CT surveillance in cirrhotic patients? Abdom Radiol (NY) 2019; 44:3263-3272. [PMID: 31359098 DOI: 10.1007/s00261-019-02145-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND The measurement of liver volume (LV) is considered to be an effective prognosticator for postoperative liver failure in patients undergoing hepatectomy. It is unclear whether LV can be used to predict mortality in cirrhotic patients. METHODS We enrolled 584 consecutive cirrhotic patients who underwent computerized topography (CT) of the abdomen for hepatocellular carcinoma surveillance and 50 age, gender, race, and BMI-matched controls without liver disease. Total LV (TLV), functional LV (FLV), and segmental liver volume (in cm3) were measured from CT imaging. Cirrhotic subjects were followed until death, liver transplantation, or study closure date of July 31, 2016. The survival data were assessed with log-rank statistics and independent predictors of survival were performed using Cox hazards model. RESULTS Cirrhotic subjects had significantly lower TLV, FLV, and segmental (all except for segments 1, 6, 7) volume when compared to controls. Subjects presenting with hepatic encephalopathy had significantly lower TLV and FLV than those without HE (p = 0.002). During the median follow-up of 1145 days, 112 (19%) subjects were transplanted and 131 (23%) died. TLV and FLV for those who survived were significantly higher than those who were transplanted or dead (TLV:1740 vs. 1529 vs. 1486, FLV 1691 vs. 1487 vs. 1444, p < 0.0001). In the Cox regression model, age, MELD score, TLV, or FLV were independent predictors of mortality. CONCLUSION Baseline liver volume is an independent predictor of mortality in subjects with cirrhosis. Therefore, it may be useful to provide these data while performing routine surveillance CT scan as an important added value. Further studies are needed to validate these findings and to better understand their clinical utility.
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Affiliation(s)
- Milan Patel
- Department of Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Pimpitcha Puangsricharoen
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 550 N. University Blvd, UH 4100, Indianapolis, IN, 46202, USA
- Chulalongkorn University, Bangkok, Thailand
| | | | - Sam Garrison
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 550 N. University Blvd, UH 4100, Indianapolis, IN, 46202, USA
| | - Witina Techasatian
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 550 N. University Blvd, UH 4100, Indianapolis, IN, 46202, USA
| | - Marwan Ghabril
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 550 N. University Blvd, UH 4100, Indianapolis, IN, 46202, USA
| | - Kumar Sandrasegaran
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd, UH 0655, Indianapolis, IN, 46202, USA
| | - Suthat Liangpunsakul
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, 550 N. University Blvd, UH 4100, Indianapolis, IN, 46202, USA.
- Roudebush Veterans Administration Medical Center, Indianapolis, IN, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Mark Tann
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd, UH 0655, Indianapolis, IN, 46202, USA.
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Soroida Y, Nakatsuka T, Sato M, Nakagawa H, Tanaka M, Yamauchi N, Wake T, Nakagomi R, Kinoshita MN, Minami T, Uchino K, Enooku K, Asaoka Y, Tanaka Y, Endo M, Nakamura A, Kobayashi T, Kurihara M, Hikita H, Sato M, Gotoh H, Iwai T, Fukayama M, Ikeda H, Tateishi R, Yatomi Y, Koike K. A Novel Non-invasive Method for Predicting Liver Fibrosis by Quantifying the Hepatic Vein Waveform. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:2363-2371. [PMID: 31303401 DOI: 10.1016/j.ultrasmedbio.2019.05.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/01/2019] [Accepted: 05/28/2019] [Indexed: 06/10/2023]
Abstract
The hepatic vein (HV) waveform by Doppler ultrasound reflects the severity of liver fibrosis. We conducted a proof-of-concept study of a new method for quantifying the HV waveform. We calculated the coefficient of variation (CV) of the HV flow velocity and created a new index "q-HV" (quantified HV) and analyzed its performance for predicting histologic liver fibrosis in 114 patients with chronic liver disease. The CV of the HV flow velocity was well associated with flattening of the waveform and the q-HV significantly increased with the progression of liver fibrosis. The areas under the curve for the prediction of fibrosis stage were 0.732 for F2, 0.772 for F3 and 0.805 for F4. Combined q-HV and FIB-4 index (widely used liver fibrosis score) increased the diagnostic accuracy for liver fibrosis. The q-HV showed good accuracy for predicting liver fibrosis; thus, q-HV is feasible and acceptable as a non-invasive tool for predicting liver fibrosis.
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Affiliation(s)
- Yoko Soroida
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Takuma Nakatsuka
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Masaya Sato
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan; Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hayato Nakagawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
| | - Mariko Tanaka
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Naoko Yamauchi
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Taijiro Wake
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Ryo Nakagomi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Mizuki Nishibatake Kinoshita
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Tatsuya Minami
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Koji Uchino
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Kenichiro Enooku
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yoshinari Asaoka
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yasuo Tanaka
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Momoe Endo
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Ayaka Nakamura
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tamaki Kobayashi
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Makiko Kurihara
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Hiromi Hikita
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Mamiko Sato
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Hiroaki Gotoh
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tomomi Iwai
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Masashi Fukayama
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hitoshi Ikeda
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Ryosuke Tateishi
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yutaka Yatomi
- Department of Clinical Laboratory, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
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