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22 results on '"Zhengsheng Zou"'

1. Mild-moderate alcohol consumption and diabetes are associated with liver fibrosis in patients with biopsy-proven MASLD

Author

Ang Huang, Cailun Zou, Zhe Dai, Ying Sun, Jing Wang, Shuhong Liu, Lin Han, Songhai Chen, Qingsheng Liang, Chunyan Wang, Yingjie Zhuang, Tong Dang, Binxia Chang, Yijin Wang, and Zhengsheng Zou

Subjects
MASLD, metabolic dysfunction-associated steatotic liver disease, mild-moderate alcohol consumption, fibrosis stage, type 2 diabetes mellitus, multivariate logistic regression, Therapeutics. Pharmacology, RM1-950
Abstract

BackgroundIt is unclear whether patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are allowed variable low levels of alcohol. This study aimed to evaluate the effect of mild-moderate alcohol consumption on the biochemical and histological characteristics of patients with MASLD.MethodsAlcohol consumption was assessed in 713 patients with steatotic liver disease (SLD) who underwent liver biopsy. Non-drinking, mild-moderate drinking, and excessive drinking were defined as 0 g/day, 1-20 g/day for women and 0 g/day, 1-30 g/day for men, respectively. Liver biopsies were scored according to the NASH CRN system.ResultsA total of 713 participants (median age 39.0 years and 77.1% male) with biopsy-proven SLD were enrolled, including 239 nondrinkers, 269 mild-moderate drinkers and 205 excessive drinkers. Excessive drinking was associated with increased risks for lobular inflammation and liver fibrosis compared to nondrinkers and mild-moderate drinkers. Compared with non-drinkers, mild-moderate drinkers had significantly lower odds for steatosis (OR = 0.60, 95% CI = 0.38–0.93, p = 0.025), hepatocellular ballooning (OR = 0.52, 95% CI = 0.29–0.91, p = 0.020) and fibrosis (OR = 0.50, 95% CI = 0.31–0.81, p = 0.005). However, in non-excessive drinkers with type 2 diabetes mellitus (T2DM), there was no association between mild-moderate alcohol consumption and liver fibrosis (OR = 0.562, 95% CI = 0.207–1.530, p = 0.257).ConclusionsMild-moderate alcohol consumption might be protective against liver fibrosis in MASLD patients, which is modified by the presence of T2DM. However, further longitudinal studies are needed to determine the effect of ongoing alcohol consumption on disease severity.

Published
2024
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2. Prevalence and prediction of hepatocellular carcinoma in alcohol-associated liver disease: a retrospective study of 136 571 patients with chronic liver diseases

Author

Li Gao, Lin Han, Qiaoling Wang, Yinying Lu, Binxia Chang, Hui Tian, Ang Huang, Xingran Zhai, Xueyuan Jin, Qingsheng Liang, Baosen Li, Huan Xie, Dong Ji, and Zhengsheng Zou

Subjects
Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background and aims To explore the incidence of alcohol-related hepatocellular carcinoma (HCC), evaluate possible synergisms between alcohol and well-known risk factors associated with HCC and establish a nomogram to predict alcohol-associated liver disease (ALD)-related HCC risk.Methods A database of 136 571 inpatients in the Fifth Medical Center of Chinese PLA General Hospital from 2002 to 2018 with chronic liver disease was established. Data were collected by medical records review. Multivariate logistic regression was used to identify the independent high-risk factors associated with HCC, and then were incorporated into a novel nomogram. Afterward, the new established model was validated using external cohort by receiver operating characteristic curves analysis. For external cohort, 1646 patients with ALD admitted to our hospital from 2019 to 2021 were included. ALD was diagnosed on the basis of a history of sustained heavy alcohol intake greater than 40 g/day for men and 20 g/day for women for >5 years, clinical evidence of liver disease and supporting laboratory abnormalities.Results Over the last 17 years, trends showed obviously increases in ALD. ALD-related HCC experienced a significant increase from 5.8% to 30.7%, whereas hepatitis B virus (HBV)-related HCC declined from 77.6% to 52.0%. In patients with ALD-related HCC (5119), 3816 (74.54%) cases had HBV infection, 493 (9.63%) cases had hepatitis C virus (HCV) infection, 71 (1.39%) cases were coinfected with both HBV and HCV, and 739 (14.44%) cases had neither HBV nor HCV infection. Drinking years (OR 1.009, 95% CI (1.000 to 1.017)), age (OR 1.060, 95% CI (1.051 to 1.069)), diabetes mellitus (OR 1.314, 95% CI (1.123 to 1.538)), HBV infection (OR 4.905, 95% CI (4.242 to 5.671)), liver cirrhosis (OR 4.922, 95% CI (3.887 to 6.232)) and male sex (OR 17.011, 95%CI (2.296 to 126.013)) were associated with increased risk of HCC in patients with ALD. A nomogram had a concordance index of 0.786 (95% CI 0.773 to 0.799) and had well-fitted calibration curves. These results were successfully validated both in the internal cohort and external cohort.Conclusion The prevalence of ALD and ALD-related HCC has been increased dramatically. The nomogram model established here with its high accuracy and easy-to-use features achieved an optimal prediction of HCC development in patients with ALD, which can help clinicians to develop an individualised and precise treatment strategy.

Published
2024
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3. Fine mapping identifies independent HLA associations in autoimmune hepatitis type 1

Author

You Li, Lu Zhou, Zuxiong Huang, Yue Yang, Jiming Zhang, Ling Yang, Yun Xu, Junping Shi, Shanhong Tang, Xiaoling Yuan, Jie Xu, Yiling Li, Xu Han, Jia Li, Yanmin Liu, Ying Sun, Xiaozhi Jin, Xiao Xiao, Bangmao Wang, Qiuxiang Lin, Yang Zhou, Xuejiao Song, Yong Cui, Lilin Hu, Yuhu Song, Jie Bao, Ling Gong, M. Eric Gershwin, Xianbo Zuo, Huiping Yan, Zhengsheng Zou, Ruqi Tang, and Xiong Ma

Subjects
Autoimmune hepatitis, Human leucocyte antigen, HLA-B∗35:01, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background & Aims: Association studies have greatly refined the important role of the major histocompatibility complex (MHC) region in autoimmune hepatitis (AIH). However, the effects of human leucocyte antigen (HLA) polymorphisms on AIH are not well established. The aim of this study is to systematically characterise the association of MHC variants with AIH in our well-defined cohort of patients. Methods: We performed an imputation-based analysis on the extensive association observed within the MHC region using the Han-MHC reference panel, and tested the comprehensive associations of HLA polymorphisms with AIH in 1622 Chinese AIH type 1 patients and 10,466 population controls. Results: A total of 588 HLA variants were significantly associated with AIH, with HLA-B∗35:01 (p = 8.17 × 10−304; odds ratio [OR] = 7.32) contributing the strongest signal. Stepwise conditional analysis revealed additional independent signals at HLA-B∗08:01 (p = 1.35 × 10−33; OR = 4.26) and rs7765379 (p = 5.08 × 10−18; OR = 1.66). A strong link between the lead HLA variant and clinical phenotypes of AIH was observed: patients with HLA-B∗35:01 were less frequently positive for ANA and tended to have higher serum AST and ALT levels at diagnosis, but lower serum IgG levels. Conclusions: Our study reveals three novel and independent variants at HLA-B∗35:01, HLA-B∗08:01, and rs7765379 associated with AIH across the whole MHC region in the Han Chinese population. The findings illustrate the value of the MHC region in AIH and provide a new perspective for the immunogenetics of AIH. Impact and implications: This study revealed three novel and independent variants associated with autoimmune hepatitis across the whole major histocompatibility complex region in the Han Chinese population. These findings are significant in identifying autoantigens, providing insights into the activation of the autoimmune processes, and further advancing our understanding of the immunogenetic basis underlying autoimmune hepatitis.

Published
2024
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4. Immune-mediated hepatitis induced by immune checkpoint inhibitors: Current updates and future perspectives

Author

Zherui Liu, Yun Zhu, Huan Xie, and Zhengsheng Zou

Subjects
cancer, immunotherapy, immune checkpoint inhibitors, immune-related adverse events, drug-induced liver injury, hepatitis, Therapeutics. Pharmacology, RM1-950
Abstract

In recent years, cancer immunotherapy has made remarkable achievements. Immune checkpoint inhibitors (ICIs) have been used successfully in several types of cancer in the past decade. However, expanded indication and increased use of Immune checkpoint inhibitors have resulted in increased reports of toxicity called immune-related adverse events (irAEs). Due to the unique immunological characteristics of the liver, a hepatic immune-related adverse events has also been reported, which is usually termed Immune-mediated hepatitis (IMH). So far, it is generally considered that the mechanism of IMH induced by Immune checkpoint inhibitors is mainly the overactivation of T cells. It has been reported that the incidence of IMH ranges from 1% to 15%. Because of the lack of specific markers, a diagnosis of exclusion of IMH is critical. Although most IMH is mild and recoverable, several death cases have been reported, which has been increasingly concerned. This review summarizes the current understanding of the pathophysiology, epidemiology, diagnosis, management and prognosis of IMH caused by Immune checkpoint inhibitors. It also discusses the controversial issues in IMH, such as the role of liver biopsy, grading criteria, risk factors, rational treatment strategies with steroids, and the timing of Immune checkpoint inhibitors rechallenging, which may provide helpful information for IMH in future clinical practice.

Published
2023
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5. Alanine Aminotransferase and Bilirubin Dynamic Evolution Pattern as a Novel Model for the Prediction of Acute Liver Failure in Drug-Induced Liver Injury

Author

Ruiyuan Yang, Kexin Li, Cailun Zou, Aileen Wee, Jimin Liu, Liwei Liu, Min Li, Ting Wu, Yu Wang, Zikun Ma, Yan Wang, Jingyi Liu, Ang Huang, Ying Sun, Binxia Chang, Qingsheng Liang, Jidong Jia, Zhengsheng Zou, and Xinyan Zhao

Subjects
drug toxicity, predictive model, dynamic evolution pattern, clinical characteristic, clinical outcome, Therapeutics. Pharmacology, RM1-950
Abstract

Aims: To develop, optimize, and validate a novel model using alanine aminotransferase (ALT) and total bilirubin (TB) dynamic evolution patterns in predicting acute liver failure (ALF) in drug-induced liver injury (DILI) patients.Methods: The demographics, clinical data, liver biopsy, and outcomes of DILI patients were collected from two hospitals. According to the dynamic evolution of ALT and TB after DILI onset, the enrolled patients were divided into ALT-mono-peak, TB-mono-peak, double-overlap-peak, and double-separate-peak (DSP) patterns and compared. Logistic regression was used to develop this predictive model in both discovery and validation cohorts.Results: The proportion of ALF was significantly higher in patients with the DSP pattern than in the ALT-mono-peak pattern and DOP pattern (10.0 vs. 0.0% vs. 1.8%,p < 0.05). The area under receiver operating characteristic curve (AUROC) of the DSP pattern model was 0.720 (95% CI: 0.682–0.756) in the discovery cohort and 0.828 (95% CI: 0.788–0.864) in the validation cohort in predicting ALF, being further improved by combining with international normalized ratio (INR) and alkaline phosphatase (ALP) (AUROC in the discovery cohort: 0.899; validation cohort: 0.958). Histopathologically, patients with the DSP pattern exhibited a predominantly cholestatic hepatitis pattern (75.0%, p < 0.05) with a higher degree of necrosis (29.2%, p = 0.084).Conclusion: DILI patients with the DSP pattern are more likely to progress to ALF. The predictive potency of the model for ALF can be improved by incorporating INR and ALP. This novel model allows for better identification of high-risk DILI patients, enabling timely measures to be instituted for better outcome.

Published
2022
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6. Guidelines for safe use of Polygoni Multiflori Radix

Author

Xiao, Xiaohe, Wang, Jiabo, Song, Haibo, Ouyang, Dongsheng, Zou, Zhengsheng, Wang, Ruilin, He, Tingting, Jing, Jing, Guo, Yuming, Bai, Zhaofang, Zhan, Xiaoyan, Niu, Ming, Ma, Zhijie, Li, Chunyu, Xiaohe, Xiao, Jiabo, Wang, Haibo, Song, Dongsheng, Ouyang, Zhengsheng, Zou, Ruilin, Wang, Tingting, He, Jing, Jing, Yuming, Guo, Zhaofang, Bai, Ming, Niu, Jianyu, Li, Fengyi, Li, Yun, Zhu, Zhijie, Ma, Chunyu, Li, Jinfa, Tang, Pengyan, Li, Le, Zhang, Chaopeng, Li, and Can, Tu

Published
2024
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9. Clinical characteristics and prognosis of non-APAP drug-induced acute liver failure: a large multicenter cohort study

Author

Lin Han, Ang Huang, Jinjun Chen, Guangju Teng, Ying Sun, Binxia Chang, Hong-Li Liu, Manman Xu, Xiaoqin Lan, Qingsheng Liang, Jun Zhao, Hui Tian, Songhai Chen, Yun Zhu, Huan Xie, Tong Dang, Jing Wang, Ning Li, Xiaoxia Wang, Yu Chen, Yong-Feng Yang, Dong Ji, and Zhengsheng Zou

Subjects
Hepatology
Abstract

Background There is growing recognition of natural history, complications, and outcomes of patients who develop non-acetaminophen (APAP) drug-induced acute liver failure (ALF). To clarify high-risk factors and develop a nomogram model to predict transplant-free survival (TFS) in patients with non-APAP drug-induced ALF. Methods Patients with non-APAP drug-induced ALF from 5 participating centers were retrospectively analyzed. The primary endpoint was 21-day TFS. Total sample size was 482 patients. Results Regarding causative agents, the most common implicated drugs were herbal and dietary supplements (HDS) (57.0%). The hepatocellular type (R ≥ 5) was the main liver injury pattern (69.0%). International normalized ratio, hepatic encephalopathy grades, the use of vasopressor, N-acetylcysteine, or artificial liver support system were associated with TFS and incorporated to construct a nomogram model (drug-induced acute liver failure-5, DIALF-5). The AUROC of DIALF-5 for 7-day, 21-day, 60-day, and 90-day TFS in the internal cohort were 0.886, 0.915, 0.920, and 0.912, respectively. Moreover, the AUROC of DIALF-5 for 21-day TFS had the highest AUROC, which was significantly higher than 0.725 of MELD and 0.519 of KCC (p p > 0.05). These results were successfully validated in the external cohort (147 patients). Conclusions Based on easily identifiable clinical data, the novel DIALF-5 model was developed to predict transplant-free survival in non-APAP drug-induced ALF, which was superior to KCC, MELD and had a similar prediction performance to ALFSG-PI but is more convenient, which can directly calculate TFS at multiple time points.

Published
2023

10. Corticosteroid plus glycyrrhizin therapy for chronic drug‐ or herb‐induced liver injury achieves biochemical and histological improvements: a randomised open‐label trial

Author

Jia‐Bo Wang, Ang Huang, Yijin Wang, Dong Ji, Qing‐Sheng Liang, Jun Zhao, Guangde Zhou, Shuhong Liu, Ming Niu, Ying Sun, Hui Tian, Guang‐Ju Teng, Bin‐Xia Chang, Jing‐Feng Bi, Xiao‐Xia Peng, Shaojie Xin, Huan Xie, Xiong Ma, Yi‐Min Mao, Suthat Liangpunsakul, Romil Saxena, Guruprasad P. Aithal, Xiao‐He Xiao, Jingmin Zhao, and Zhengsheng Zou

Subjects
Hepatology, Gastroenterology, Pharmacology (medical)
Published
2022

12. Earth Pressure on Retaining Wall with Surface-Inclined Cohesive Fill Based on Principal Stress Rotation

Author

Xinyu Wang, Zhengsheng Zou, Wang Hengli, and Jian Liu

Subjects
Surface (mathematics), QE1-996.5, Article Subject, Horizontal and vertical, Lateral earth pressure, Principal stress rotation, Cohesion (geology), General Earth and Planetary Sciences, Principal stress, Geology, Geotechnical engineering, Retaining wall
Abstract

When considering the friction and bonding force between the back of the retaining wall and the horizontal fill behind the wall, the principal stress of the soil element near the vertical back of the retaining wall is no longer vertical and horizontal but deflects to a certain extent. When the surface of the backfill becomes inclined, the principal stress of the soil behind the wall deflects in a more complicated way. In this paper, the cohesion of the soil element in the fill with an inclined surface is assumed, and the formulas for calculating the active and passive earth pressures of the retaining wall with inclined cohesive backfill are derived by rotating the principal stress of the soil element behind the wall. The proposed method is compared with the existing algorithm, and the influences of the inclination and the cohesion of the fill are analyzed. The results show that the proposed method is more universal. Both the active and passive earth pressures increase rapidly with the increase of the inclination of the fill. The active earth pressure and its horizontal component decrease with the increase of the cohesion of the fill, while the passive earth pressure and its horizontal component increase with the increase of the cohesion of the fill.

Published
2021

16. Cover Image

Author

Jia‐Bo Wang, Ang Huang, Yijin Wang, Dong Ji, Qing‐Sheng Liang, Jun Zhao, Guangde Zhou, Shuhong Liu, Ming Niu, Ying Sun, Hui Tian, Guang‐Ju Teng, Bin‐Xia Chang, Jing‐Feng Bi, Xiao‐Xia Peng, Shaojie Xin, Huan Xie, Xiong Ma, Yi‐Min Mao, Suthat Liangpunsakul, Romil Saxena, Guruprasad P. Aithal, Xiao‐He Xiao, Jingmin Zhao, and Zhengsheng Zou

Subjects
Hepatology, Gastroenterology, Pharmacology (medical)
Published
2022

17. Comparison of the prognostic models for mortality in idiosyncratic drug-induced liver injury

Author

Yan Wang, Cailun Zou, Aileen Wee, Jimin Liu, Zikun Ma, Tiantian Guo, Min Li, Yu Wang, Liwei Liu, Jidong Jia, Zhengsheng Zou, and Xinyan Zhao

Subjects
Hepatology
Abstract

Several models have been proposed to predict acute liver failure/death in patients with drug-induced liver injury (DILI), but the predictive performances of them have not been systematically compared. We aim to compare the current models for their predictive potency of mortality at DILI onset.DILI patients hospitalized at both Beijing Friendship Hospital and the Fifth Medical Center of PLA General Hospital were categorized into death/liver transplantation (LT) or survival without LT group. Predictive potency of 28-day, 90-day, 6-month and 12-month death/LT outcomes of Hy's Law, nHy's Law, Robles-Diaz Model, drug-induced liver toxicity (DrILTox ALF) Score, Model for End-stage Liver Disease (MELD) Score, and Ghabril Model was compared by Delong method.A total of 6.3% (83/1314) patients died or received LT within 12 months after DILI onset. The area under receiver operating characteristic of Hy's Law, nHy's Law, and Robles-Diaz Model was all lower than 0.750 for the prediction of within 12 months' mortality. DrILTox ALF Score, MELD Score and Ghabril Model showed better predictive potency of 28-day [0.896 (0.878-0.912), 0.934 (0.919-0.947), 0.935 (0.921-0.948), respectively], 90-day [0.883 (0.864-0.899), 0.951 (0.938-0.962), 0.952 (0.939-0.963), respectively], 6-month [0.820 (0.799-0.841), 0.905 (0.888-0.921) and 0.908 (0.891-0.923), respectively] and 12-month [0.801 (0.779-0.823), 0.882 (0.863-0.899) and 0.885 (0.866-0.902), respectively] mortality.Despite the difference of clinical characteristics and implicated-drug categories between China and industrialized countries, we demonstrate that MELD Score and Ghabril Model have the best predictive performance in the prediction of mortality within 12 months after DILI onset.

Published
2022

18. Clinical characteristics and prognosis of Primary biliary cholangitis with esophagogastric varices

Author

Mingyue Zhang, Huan Xie, Alessio Gerussi, Lin Han, Ying Chen, Jun Zhao, Qingsheng Liang, Baosen Li, Pietro Invernizzi, Zhengsheng Zou, ME Gershwin, and Ying Sun

Abstract

Background and aims The development of esophagogastric varices (EGV) is one of the most common complications in patients with Primary biliary cholangitis (PBC); yet, factors associated with their development have been poorly characterized. In this cohort, we aimed to investigate the clinical factors associated with EGV in patients with PBC. Methods: The cohort study included patients with PBC who received esophagogastroduodenoscopy screening and ursodeoxycholic acid (UDCA) therapy at baseline. Liver-related death and liver transplantation were assessed as the endpoint, liver transplantation-free survival rates were estimated by using Kaplan–Meier methods, and Cox regression analysis was performed to identify the potential risk factors of endpoint events for PBC with EGV. Results The 690 patients included in this study had a mean age of 57 years old and 553 (80.1%) were females, 13 (7.9%) in the 165 PBC with no liver cirrhosis and 400 (76.2%) in the 525 PBC with liver cirrhosis had signs of EGV, and 215 (31.2%) patients of the cohort had bleeding esophagogastric varices as the first presentation at diagnosis. The median (Interquartile range) follow-up period was 4.0 (2.0, 6.0) years. During the follow-up duration, 99 patients progressed to liver-related deaths, and 23 patients underwent liver transplantation. The 5-year cumulative LT-free survival was 88.20% (95% CI 83.7-92.7) in PBC without EGV, and 80.90% (95% CI 80.0-89.9), 80.30% (95% CI 69.7-90.9), 75.70% (95% CI 68.3-83.1) among PBC with small, medium and large-sized esophageal varices at baseline, respectively (p =0.002). The 10-year cumulative LT-free survival was 68.8% (95% CI 53.9-82.8) in PBC without EGV, and 54.2% (95% CI 36.4-72.0), 51.6% (95% CI 29.9-73.3), 62.1% (95% CI 49.2-75.0) among PBC patients with small, medium and large-sized esophageal varices at baseline, respectively (p=0.001). History of endoscopic therapy and UDCA biochemical responder with Paris criteria for PBC with EGV were associated with a statistically significant reduced risk of LT or death (p =0.001 and p=0.007).Conclusions Endoscopic therapy and a favorable biochemical profile of UDCA can prolong the LT-free survival of PBC patients with EGV, despite the presence of large-sized esophageal varices.

Published
2022

19. Dynamic Behaviour of Manufactured Sand Shotcrete at Early Age

Author

Qingdong Li, Xinyu Wang, Zhengsheng Zou, Xicai Gao, and Yu Zhao

Subjects
History, Polymers and Plastics, General Materials Science, Building and Construction, Business and International Management, Industrial and Manufacturing Engineering, Civil and Structural Engineering
Published
2022

20. Global multi-stakeholder endorsement of the MAFLD definition

Author

Nahum Méndez-Sánchez, Elisabetta Bugianesi, Robert G Gish, Frank Lammert, Herbert Tilg, Mindie H Nguyen, Shiv K Sarin, Núria Fabrellas, Shira Zelber-Sagi, Jian-Gao Fan, Gamal Shiha, Giovanni Targher, Ming-Hua Zheng, Wah-Kheong Chan, Shlomo Vinker, Takumi Kawaguchi, Laurent Castera, Yusuf Yilmaz, Marko Korenjak, C Wendy Spearman, Mehmet Ungan, Melissa Palmer, Mortada El-Shabrawi, Hans-Juergen Gruss, Jean-François Dufour, Anil Dhawan, Heiner Wedemeyer, Jacob George, Luca Valenti, Yasser Fouad, Manuel Romero‐Gomez, Mohammed Eslam, Maria Lorena Abate, Bahaa Abbas, Ahmed Amr Abbassy, Waleed Abd El Ghany, Amira Abd Elkhalek, Emad Abd ElMajeed, Mohammad Abdalgaber, Mohamed AbdAllah, Marwa Abdallah, Nourhan Abdallah, Shereen Abdelaleem, Yasser Abdelghani, Wael Abdelghany, Safaa Mohamed Abdelhalim, Wafaa Abdelhamid, Nehal Abdelhamid, Nadia A. Abdelkader, Elsayed Abdelkreem, Aly Mohamed Abdelmohsen, Awny Ali Abdelrahman, Sherief M Abd-elsalam, Doaa Abdeltawab, Abdulbaset Abduh, Nada Abdulhakam, Maheeba Abdulla, Navid Abedpoor, Ludovico Abenavoli, Fredrik Åberg, Omala Ablack, Mostafa Abo elftouh, Yousry Esam-Eldin Abo-Amer, Ashraf Aboubkr, Alaa Aboud, Amr M. Abouelnaga, Galal A. Aboufarrag, Ashraf Aboutaleb, Leticia Abundis, Gupse Adalı, Enrique Adames, Leon Adams, Danjuma Adda, Noor Adel, Nada Adel, Muhammad Adel Sayed, Taiba Jibril Afaa, Nawal Afredj, Gulnara Aghayeva, Alessio Aghemo, Carlos A. Aguilar-Salinas, Golo Ahlenstiel, Walid Ahmady, Wafaa Ahmed, Amira Ahmed, Samah Nasser Ahmed, Heba Mostafa Ahmed, Rasha Ahmed, Elmar Aigner, Mesut Akarsu, Maisam Akroush, Umit Akyuz, Mamun Al Mahtab, Tahani Al Qadiri, Yusriya Al Rawahi, Razzaq AL rubaee, Muna Al Saffar, Shahinul Alam, Zaid Al-Ani, Agustín Albillos, Mohamed Alboraie, Said Al-Busafi, Mohamed Al-Emam, Jawaher Alharthi, Kareem Ali, Basma Abdelmoez Ali, Mohammad Ali, Raja Affendi Raja Ali, Anna Alisi, Ali Raad AL-Khafaji, Maryam Alkhatry, Rocio Aller, Yahya Almansoury, Khalid Al-Naamani, Alaa Alnakeeb, Anna Alonso, Saleh A. Alqahtani, Leina Alrabadi, Khalid Alswat, Mahir Altaher, Turki Altamimi, Jose Altamirano, Mario R. Alvares-da-Silva, Elsragy Adel M. Aly, Amgad Alzahaby, Ahmed Alzamzamy, Keisuke Amano, Maysa A. Amer, Mona A. Amin, Sayed A. Amin, Ashraf A. Amir, Javier Ampuero, Noha Anas, Pietro Andreone, Soa Fy Andriamandimby, Mahmoud Anees, Peltec Angela, Manal Antonios, Wael Arafat, Jose Moreno Araya, Juan Armendariz-Borunda, Matthew J. Armstrong, Hassan Ashktorab, Patricia Aspichueta, Fathia Assal, Mira Atef, Dina Attia, Hoda Atwa, Reham Awad, Mohyeldeen Abd Elaziz Awad, Sally Awny, Obafemi Awolowo, Yaw Asante Awuku, Ibrahim Ayada, Than Than Aye, Sherif Ayman, Hedy Ayman, Hesham Ayoub, Hosny M. Azmy, Romiro P. Babaran, Omneya Badreldin, Ahmed Badry, İbrahim Halil Bahçecioğlu, Amira Bahour, Jiajia Bai, Yasemin Balaban, Muthuswamy Balasubramanyam, Khaled Bamakhrama, Jesus M Banales, Babu Bangaru, Jianfeng Bao, Jorge Suazo Barahona, Salma Barakat, Sandra Maria Barbalho, Bikwa Barbra, Beatriz Barranco, Francisco Barrera, Ulrich Baumann, Shamardan Bazeed, Eva Bech, Aourarh Benayad, Andreas Benesic, David Bernstein, Fernando Bessone, Susie Birney, Cyrille Bisseye, Martin Blake, Bilal Bobat, Leonilde Bonfrate, Dmitry S Bordin, Francisco Bosques-Padilla, Jerome Boursier, Boushab Mohamed Boushab, David Bowen, Patricia Medina Bravo, Paul N Brennan, Bisi Bright, Ilse Broekaert, Xabier Buque, Diego Burgos-Santamaría, Julio Burman, Luca Busetto, Chris D. Byrne, Patricia Anne I. Cabral-Prodigalidad, Guillermo Cabrera-Alvarez, Wei Cai, Francesca Cainelli, Ali Riza Caliskan, Ali Canbay, Ana Cano-Contreras, Hai-Xia Cao, Zhujun Cao, Andres Carrion, Francesca Carubbi, Teresa Casanovas, Marlen Ivón Castellanos Fernández, Jin Chai, Siew Pheng Chan, Phunchai Charatcharoenwitthaya, Norberto Chavez-Tapia, Kazuaki Chayama, Jinjun Chen, Lin Chen, Zhong-Wei Chen, Huiting Chen, Sui-Dan Chen, Qiang Chen, Yaxi Chen, Gang Chen, En-Quang Chen, Fei Chen, Pei-Jer Chen, Robert Cheng, Wendy Cheng, Jack Tan Wei Chieh, Imad Chokr, Evangelos Cholongitas, Ashok Choudhury, Abhijit Chowdhury, Evaristus Sunday Chukwudike, Stefano Ciardullo, Michelle Clayton, Karine Clement, Marie Michelle Cloa, Cecilia Coccia, Cristina Collazos, Massimo Colombo, Arif Mansur Cosar, Helma Pinchemel Cotrim, Joris Couillerot, Alioune Coulibaly, Gonzalo Crespo, Javier Crespo, Maria Cruells, Ian Homer Y. Cua, Hesham K. Dabbous, George N Dalekos, Patricia D'Alia, Li Dan, Viet Hang Dao, Mostafa Darwish, Christian Datz, Milagros B Davalos-Moscol, Heba Dawoud, Blanca Olaechea de Careaga, Robert de Knegt, Victor de Ledinghen, Janaka de Silva, Nabil Debzi, Marie Decraecker, Elvira Del Pozo, Teresa C Delgado, Manuel Delgado-Blanco, Łukasz Dembiński, Adilson Depina, Moutaz Derbala, Hailemichael Desalegn, Christèle Desbois-Mouthon, Mahmoud Desoky, Anouk Dev, Agostino Di Ciaula, Moisés Diago, Ibrahima Diallo, Luis Antonio Díaz, Melisa Dirchwolf, Paola Dongiovanni, Andrriy Dorofeyev, Xiaoguang Dou, Mark W. Douglas, Michael Doulberis, Cecil K. Dovia, Adam Doyle, Ivana Dragojević, Joost PH Drenth, Xuefei Duan, Audrius Dulskas, Dan L Dumitrascu, Oliver Duncan, Vincent Dusabejambo, Rev. Shem N.A. Dwawhi, Sho Eiketsu, Doaa El Amrousy, Ahmed El Deeb, Ghada El Deriny, Hesham Salah El Din, Salwa El Kamshishy, Mohamed El Kassas, Maissa El Raziky, Osama A Elagamy, Wafaa Elakel, Dina Elalfy, Hanaa Elaraby, Heba ElAwady, Reda Elbadawy, Hanaa Hassan Eldash, Manal S. Eldefrawy, Carol Lezama Elecharri, Amel Elfaramawy, Mohammed Elfatih, Mahmoud Elfiky, Mohamed Elgamsy, Mohamed Elgendy, Mohamed A. El-Guindi, Nagi Elhussieny, Ahmed Maher Eliwa, Zeineb Elkabbany, Hesham El-Khayat, Nehal M. El-Koofy, Alaa Elmetwalli, Amr Elrabat, Fathiya El-Raey, Fatma Elrashdy, Medhat Elsahhar, Esraa M. Elsaid, Shimaa Elsayed, Hany Elsayed, Aly Elsayed, Amr M. Elsayed, Hamdy Elsayed, Magdy El-Serafy, Ahmed M. Elsharkawy, Reem Yehia Elsheemy, Eman Elsayed Elshemy, Sara Elsherbini, Naglaa Eltoukhy, Reda Elwakil, Ola Emad, Shaimaa Emad, Mohamed Embabi, Ilkay Ergenç, Tatiana Ermolova, Gamal Esmat, Doaa M. Esmat, Enrique Carrera Estupiñan, Said Ettair, Tcaciuc Eugen, Mohammed Ezz-Eldin, Lidia Patricia Valdivieso Falcón, Yu-Chen Fan, Samah Fandari, Mahmoud Farag, Taghreed Mohamed Farahat, Eman M. Fares, Michael Fares, Eduardo Fassio, Hayam Fathy, Dina Fathy, Wael Fathy, Soheir Fayed, Dan Feng, Gong Feng, Miguel Fernández-Bermejo, Cristina Targa Ferreira, Javier Díaz Ferrer, Alastair Forbes, Rabab Fouad, Hanan M. Fouad, Tove Frisch, Hideki Fujii, Shuhei Fukunaga, Shinya Fukunishi, Hacer Fulya, Masato Furuhashi, Yasmine Gaber, Augusto Jose G. Galang, Jacqueline Cordova Gallardo, Rocío Galloso, Mahmoud Gamal, Reham Gamal, Hadeel Gamal, Jian Gan, Anar Ganbold, Xin Gao, George Garas, Tony Garba, Miren García-Cortes, Carmelo García-Monzón, Javier García-Samaniego, Amalia Gastaldelli, Manuel Gatica, Elizabeth Gatley, Tamar Gegeshidze, Bin Geng, Hasmik Ghazinyan, Salma Ghoneem, Luca Giacomelli, Gianluigi Giannelli, Edoardo G. Giannini, Matthew Giefer, Pere Ginès, Marcos Girala, Pablo J Giraudi, George Boon-Bee Goh, Ahmed Ali Gomaa, Benbingdi Gong, Dina Hilda C. Gonzales, Humberto C. Gonzalez, Maria Saraí Gonzalez-Huezo, Isabel Graupera, Ivica Grgurevic, Henning Grønbæk, Xuelian Gu, Lin Guan, Ibrahima Gueye, Alice Nanelin Guingané, Ozen Oz Gul, Cuma Bulent Gul, Qing Guo, Pramendra Prasad Gupta, Ahmet Gurakar, Juan Carlos Restrepo Gutierrez, Ghada Habib, Azaa Hafez, Emilia Hagman, Eman Halawa, Osama Hamdy, Abd Elkhalek Hamed, Dina H. Hamed, Saeed Hamid, Waseem Hamoudi, Yu Han, James Haridy, Hanan Haridy, David C H Harris Harris, Michael Hart, Fuad Hasan, Almoutaz Hashim, Israa Hassan, Ayman Hassan, Essam Ali Hassan, Adel Ahmed Hassan, Magda Shehata Hassan, Fetouh Hassanin, Alshymaa Hassnine, John Willy Haukeland, Amr Ismael M. Hawal, Jinfan He, Qiong He, Yong He, Fang-Ping He, Mona Hegazy, Adham Hegazy, Osama Henegil, Nelia Hernández, Manuel Hernández-Guerra, Fatima Higuera-de-la-Tijera, Ibrahim Hindy, Keisuke Hirota, Lee Chi Ho, Alexander Hodge, Mohamed Hosny, Xin Hou, Jiao-Feng Huang, Yan Huang, Zhifeng Huang, Yuan Huang, Ang Huang, Xiao-Ping Huang, Sheng Hui-ping, Bela Hunyady, Mennatallah A. Hussein, Osama Hussein, Shahinaz Mahmoud Hussien, Luis Ibáñez-Samaniego, Jamal Ibdah, Luqman Ibrahim, Miada Ibrahim, Ibrahim Ibrahim, Maria E. Icaza-Chávez, Sahar Idelbi, Ramazan Idilman Idilman, Mayumi Ikeda, Giuseppe Indolfi, Federica Invernizzi, Iram Irshad, Hasan Mohamed Ali Isa, Natacha Jreige Iskandar, Abdulrahman Ismaiel, Mariam Ismail, Zulkifli Ismail, Faisal Ismail, Hideki Iwamoto, Kathryn Jack, Rachael Jacob, Fuad Jafarov, Wasim Jafri, Helen Jahshan, Prasun K Jalal, Ligita Jancoriene, Martin Janicko, Hiruni Jayasena, Meryem Jefferies, Vivekanand Jha, Fanpu Ji, Yaqiu Ji, Jidong Jia, Changtao Jiang, Ni Jiang, Zong-zhe Jiang, Xing Jin, Yi Jin, Xu Jing, Qian Jingyu, Maia Jinjolava, FX Himawan Haryanto Jong, Alina Jucov, Ibecheole Julius, Mona Kaddah, Yoshihiro Kamada, Abobakr kamal, Enas Mohamed Kamal, Ashraf Sayed Kamel, Jia-Horng Kao, Maja Karin, Thomas Karlas, Mohammad Kashwaa, Leolin Katsidzira, Eda Kaya, M.Azzam Kayasseh, Bernadette Keenan, Caglayan Keklikkiran, William Keml, Deia K. Khalaf, Rofida Khalefa, Sherin Khamis, Doaa Khater, Hamed khattab, Anatoly Khavkin, Olga Khlynova, Nabil Khmis, Nazarii Kobyliak, Apostolos Koffas, Kazuhiko Koike, Kenneth Y.Y. Kok, Tomas Koller, Narcisse Patrice Komas, Nataliya V. Korochanskaya, Yannoula Koulla, Shunji Koya, Colleen Kraft, Bledar Kraja, Marcin Krawczyk, Mohammad Shafi Kuchay, Anand V Kulkarni, Ashish Kumar, Manoj Kumar, Sulaiman Lakoh, Philip Lam, Ling Lan, Naomi F. Lange, Kamran Bagheri Lankarani, Nicolas Lanthier, Kateryna Lapshyna, Sameh A. Lashen, Konang Nguieguia Justine Laure, Leonid Lazebnik, Didier Lebrec, Samuel S. Lee, Way Seah Lee, Yeong Yeh Lee, Diana Julie Leeming, Nathalie Carvalho Leite, Roberto Leon, Cosmas Rinaldi Adithya Lesmana, Junfeng Li, Qiong Li, Jun Li, Yang-Yang Li, Yufang Li, Lei Li, Min Li, Yiling li, Huiqing Liang, Tang Lijuan, Seng Gee Lim, Lee-Ling Lim, Shumei Lin, Han-Chieh Lin, Rita Lin, Rania Lithy, Yaru Liu, Yuanyuan Liu, Xin Liu, Wen-Yue Liu, Shourong Liu, Ken Liu, Tian Liu, Amedeo Lonardo, Mariana Bravo López, Eva López-Benages, Patricio Lopez-Jaramillo, Huimin Lu, Lun Gen Lu, Yan Lu, John Lubel, Rashid Lui, Iulianna Lupasco, Elena Luzina, Xiao-Hui Lv, Kate Lynch, Hong-Lei Ma, Mariana Verdelho Machado, Nonso Maduka, Katerina Madzharova, Russellini Magdaong, Sanjiv Mahadeva, Amel Mahfouz, Nik Ritza Kosai Nik Mahmood, Eman Mahmoud, Mohamed Mahrous, Rakhi Maiwall, Ammar Majeed, Avik Majumdar, Loey Mak, Madiha M Maklouf, Reza Malekzadeh, Claudia Mandato, Alessandra Mangia, Jake Mann, Hala Hussien Mansour, Abdellah Mansouri, Alessandro Mantovani, Jun qian Mao, Flor Maramag, Giulio Marchesini, Claude Marcus, Rui António Rocha Tato Marinho, Maria L Martinez-Chantar, Antonieta A. 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L, Kaya, E, Kayasseh, M, Keenan, B, Keklikkiran, C, Keml, W, Khalaf, D, Khalefa, R, Khamis, S, Khater, D, Khattab, H, Khavkin, A, Khlynova, O, Khmis, N, Kobyliak, N, Koffas, A, Koike, K, Kok, K, Koller, T, Komas, N, Korochanskaya, N, Koulla, Y, Koya, S, Kraft, C, Kraja, B, Krawczyk, M, Kuchay, M, Kulkarni, A, Kumar, A, Kumar, M, Lakoh, S, Lam, P, Lan, L, Lange, N, Lankarani, K, Lanthier, N, Lapshyna, K, Lashen, S, Laure, K, Lazebnik, L, Lebrec, D, Lee, S, Lee, W, Lee, Y, Leeming, D, Leite, N, Leon, R, Lesmana, C, Li, J, Li, Q, Li, Y, Li, L, Li, M, Liang, H, Lijuan, T, Lim, S, Lim, L, Lin, S, Lin, H, Lin, R, Lithy, R, Liu, Y, Liu, X, Liu, W, Liu, S, Liu, K, Liu, T, Lonardo, A, Lopez, M, Lopez-Benages, E, Lopez-Jaramillo, P, Lu, H, Lu, L, Lu, Y, Lubel, J, Lui, R, Lupasco, I, Luzina, E, Lv, X, Lynch, K, Ma, H, Machado, M, Maduka, N, Madzharova, K, Magdaong, R, Mahadeva, S, Mahfouz, A, Mahmood, N, Mahmoud, E, Mahrous, M, Maiwall, R, Majeed, A, Majumdar, A, Mak, L, Maklouf, M, Malekzadeh, 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Neuman, M, Ng'Wanasayi, M, Ni, Y, Nicoll, A, Niizeki, T, Nikolova, D, Ningning, W, Niriella, M, Nogoibaeva, K, Nordien, R, O Sullivan, C, O'Beirne, J, Obekpa, S, Ocama, P, Ochwoto, M, Ogolodom, M, Ojo, O, Okrostsvaridze, N, Oliveira, C, Omana, R, Omar, O, Omar, H, Omar, M, Omran, S, Omran, R, Osman, M, Owise, N, Owusu-Ansah, T, Padilla- Machaca, P, Palle, S, Pan, Z, Pan, X, Pan, Q, Papaefthymiou, A, Paquissi, F, Par, G, Parkash, A, Payawal, D, Peltekian, K, Peng, X, Peng, L, Peng, Y, Pengoria, R, Perez, M, Perez, J, Perez, N, Persico, M, Pessoa, M, Petta, S, Philip, M, Plaz Torres, M, Polavarapu, N, Poniachik, J, Portincasa, P, Pu, C, Purnak, T, Purwanto, E, Qi, X, Qian, Z, Qiang, Z, Qiao, Z, Qiao, L, Queiroz, A, Rabiee, A, Radwan, M, Rahetilahy, A, Ramadan, Y, Ramadan, D, Ramli, A, Ramm, G, Ran, A, Rankovic, I, Rao, H, Raouf, S, Ray, S, Reau, N, Refaat, A, Reiberger, T, Remes-Troche, J, Reyes, E, Richardson, B, Ridruejo, E, Riestra Jimenez, S, Rizk, I, Roberts, S, Roblero, J, Robles, 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Xu, A, Xu, C, Yan, H, Yang, J, Yang, R, Yang, Y, Yang, Q, Yang, N, Yao, J, Yara, J, Yaras, S, Yilmaz, N, Younes, R, Younes, H, Young, S, Youssef, F, Yu, Y, Yu, M, Yuan, J, Yue, Z, Yuen, M, Yun, W, Yurukova, N, Zakaria, S, Zaky, S, Zaldastanishvili, M, Zapata, R, Zare, N, Zerem, E, Zeriban, N, Zeshuai, X, Zhang, H, Zhang, X, Zhang, Y, Zhang, W, Zhang, Z, Zhao, J, Zhao, R, Zhao, H, Zheng, C, Zheng, Y, Zheng, R, Zheng, T, Zheng, K, Zhou, X, Zhou, Y, Zhou, H, Zhou, L, Zhu, L, Zhu, Y, Zhu, P, Ziada, E, Ziring, D, Ziyi, L, Zou, S, Zou, Z, Zou, H, Zuart Ruiz, R, and Global Multi-Stakeholder Consensus on the Redefinition of Fatty Liver Disease

Subjects
Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], Hepatology, Non-alcoholic Fatty Liver Disease, NAFLD, consensu, Gastroenterology, MAFLD, definition, Humans, MAFLD, NAFLD, Human medicine
Abstract

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Published
2022

21. Prediction of biochemical nonresolution in patients with chronic drug-induced liver injury: A large multicenter study

Author

Chun‐Yan Wang, Ya Deng, Ping Li, Sujun Zheng, Guofeng Chen, Guangde Zhou, Jing Xu, Yan‐Ping Chen, Zheng Wang, Xueyuan Jin, Jin‐Mo Tang, Kun‐Peng Hu, Jing‐Feng Bi, Ping Zhang, Chun‐Xia Li, Ang Huang, Gui‐Ji Lv, Xiao‐He Xiao, Zhengsheng Zou, and Dong Ji

Subjects
Inflammation, Hepatology, Liver, Chemical and Drug Induced Liver Injury, Chronic, Humans, Aspartate Aminotransferases, Hepatitis, Retrospective Studies
Abstract

To clarify high-risk factors and develop a nomogram model to predict biochemical resolution or biochemical nonresolution (BNR) in patients with chronic DILI.Retrospectively, 3655 of 5326 patients with chronic DILI were enrolled from nine participating hospitals, of whom 2866 underwent liver biopsy. All of these patients were followed up for over 1 year and their clinical characteristics were retrieved from electronic medical records. The endpoint was BNR, defined as alanine aminotransferase or aspartate aminotransferase1.5× upper limit of normal or alkaline phosphatase1.1× ULN, at 12 months from chronic DILI diagnosis. The noninvasive high-risk factors for BNR identified by multivariable logistic regression were used to establish a nomogram, which was validated in an independent external cohort. Finally, 19.3% (707 of 3655) patients presented with BNR. Histologically, with the increase in liver inflammation grades and fibrosis stages, the proportion of BNR significantly increased. The risk of BNR was increased by 21.3-fold in patients with significant inflammation compared to none or mild inflammation (p 0.001). Biochemically, aspartate aminotransferase and total bilirubin, platelets, prothrombin time, sex, and age were associated with BNR and incorporated to construct a nomogram model (BNR-6) with a concordance index of 0.824 (95% CI, 0.798-0.849), which was highly consistent with liver histology. These results were successfully validated both in the internal cohort and external cohort.Significant liver inflammation is a robust predictor associated with biochemical nonresolution. The established BNR-6 model provides an easy-to-use approach to assess the outcome of chronic DILI.

Published
2021

22. Study on Mechanism of Pressure Relief and Permeability Enhancement in Soft-hard Composite Coal Seam by Directional Hydraulic Flushing Technology.

Author

Yubo CHEN, Dingqi LI, Shuren WANG, Zhengsheng ZOU, and RABE, Marcin

Subjects
COAL, GAS well drilling, PERMEABILITY, GAS bursts, TRAFFIC safety
Abstract

The soft-hard composite coal seam composed of tectonic and primary structural coal has the problems, such as high gas content, high pressure, poor permeability and difficult extraction, which seriously affect the production safety in the mining. To study the evolution characteristics of pressure relief in soft-hard composite coal seam based on directional hydraulic flushing technology, taking Hudi coal mine in China as the engineering background, and the pressure relief effect of directional hydraulic flushing on 'two soft and one hard' composite coal seam was studied by theoretical analysis and numerical simulation. The stress evolution of the whole coal seam under a single hole and porous interaction of different flushing radii were analyzed. The field test of directional hydraulic flushing in tectonic soft coal seam similar to protective layer mining was conducted. Results show that when the flushing diameter is 3-4 m, the influence range of stress disturbance covers the whole coal seam, and the vertical stress relief of the primary coal seam is the largest, which provides a theoretical basis for coal seam pressure relief and permeability enhancement technology. The average daily gas extraction (ADGE) concentration has doubled, and the ADGE purity has increased from 0.03 m3/d to 1.07m3/d. The target period of gas extraction is shortened from the expected 6 months to 1 month, and the average daily driving speed of coal roadway increases from 2.32 m/d to 5.37 m/d. The gas extraction efficiency is significantly improved, and the risk of gas outburst is effectively reduced, which has important theoretical and practical significance for improving the pressure relief and permeability enhancement efficiency of the soft and low permeability coal seam. [ABSTRACT FROM AUTHOR]

Published
2022
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