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Primary sclerosing cholangitis and autoimmune hepatitis overlap syndrome associated with inflammatory bowel disease:A case report and systematic review

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World Journal of Clinical Cases 2020年第18期8卷 4075-4093页

作者： vinícius remus ballotin Lucas Goldmann Bigarella Floriano Riva Georgia Onzi Raul Angelo Balbinot Silvana Sartori Balbinot Jonathan Soldera Faculty of Medicine Universidade de Caxias do Sul(UCS)Caxias do Sul 95070560Brazil CPM Laboratório de Caxias do Sul Caxias do Sul 95070561Brazil Clinical Gastroenterology Universidade de Caxias do Sul(UCS)Caxias do Sul 95070560Brazil

BACKGROUND A previously healthy 22-year-old woman presented with abdominal pain and *** had a reagent antinuclear factor(1:640,with a homogeneous nuclear pattern)and hypergammaglobulinemia(2.16 g/dL).Anti-smooth muscle,antimitochondrial and anti-liver-kidney microsomal antibody type 1 antibodies were *** resonance cholangiography showed a cirrhotic liver with multiple focal areas of strictures of the intrahepatic bile ducts,with associated *** biopsy demonstrated periportal necroinflammatory activity,plasmocyte infiltration and advanced *** showed ulcerative pancolitis and mild activity(Mayo score 1),with a spared *** with corticosteroids,azathioprine,ursodeoxycholic acid and mesalamine was initiated,with improvement in laboratory *** patient was referred for a liver transplantation *** To report the case of a female patient with autoimmune hepatitis and primary sclerosing cholangitis(PSC)overlap syndrome associated with ulcerative colitis and to systematically review the available cases of autoimmune hepatitis and PSC overlap *** In accordance with preferred reporting items for systematic reviews and metaanalysis protocols guidelines,retrieval of studies was based on medical subject headings and health sciences descriptors,which were combined using Boolean *** were run on the electronic databases Scopus,Web of Science,MEDLINE(PubMed),Biblioteca Regional de Medicina,Latin American and Caribbean Health Sciences Literature,Cochrane Library for Systematic Reviews and *** were restricted to English,Spanish and *** was no date of publication *** reference lists of the studies retrieved were searched *** The search strategy retrieved 3349 *** the final analysis,44 references were included,with a total of 109 cases *** most common clinical finding was jaundice and 43.5%of cases were associa

关键词： Autoimmune hepatitis Primary sclerosing cholangitis Crohn’s disease Ulcerative colitis Inflammatory bowel diseases

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Herb-induced liver injury: Systematic review and meta-analysis

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World Journal of Clinical Cases 2021年第20期9卷 5490-5513页

作者： vinícius remus ballotin Lucas Goldmann Bigarella Ajacio Bandeira de Mello Brandão Raul Angelo Balbinot Silvana Sartori Balbinot Jonathan Soldera School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560RSBrazil Post-Graduate Program in Medicine Division of HepatologyUniversidade Federal de Ciências da Saúde de Porto Alegre(UFCSPA)Porto Alegre90050-110RSBrazil Department of Clinical Gastroenterology Universidade de Caxias do SulCaxias do Sul 95070-560RSBrazil

BACKGROUND The use of herbal supplements and alternative medicines has been increasing in the last *** popular belief that the consumption of natural products is harmless,herbs might cause injury to various organs,particularly to the liver,which is responsible for their metabolism in the form of herb-induced liver injury(HILI).AIM To identify herbal products associated with HILI and describe the type of lesion associated with each *** Studies were retrieved using Medical Subject Headings Descriptors combined with Boolean *** were run on the electronic databases Scopus,Web of Science,MEDLINE,BIREME,LILACS,Cochrane Library for Systematic Reviews,SciELO,Embase,and *** were restricted to English,Spanish,and *** was no date of publication *** reference lists of the studies retrieved were searched *** access causality,the Maria and Victorino System of Causality Assessment in Drug Induced Liver Injury was *** descriptive analysis were used to summarize the *** The search strategy retrieved 5918 *** the final analysis,446 references were included,with a total of 936 cases *** found 79 types of herbs or herbal compounds related to ***-Shou-Wu,Green tea extract,Herbalife,kava kava,Greater celandine,multiple herbs,germander,hydroxycut,skullcap,kratom,Gynura segetum,garcinia cambogia,ma huang,chaparral,senna,and aloe vera were the most common supplements with HILI *** of these patients had complete clinical recovery(82.8%).However,liver transplantation was necessary for 6.6%of these ***,chronic liver disease and death were observed in 1.5%and 10.4%of the cases,*** HILI is normally associated with a good prognosis,once the implied product is ***,it is paramount to raise awareness in the medical and non-medical community of the risks of the indiscriminate use of herbal products.

关键词： Herb-induced liver injury Drug induced liver injury Dietary supplements Herbal hepatotoxicity Liver transplantation

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Deep learning applied to the imaging diagnosis of hepatocellular carcinoma

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Artificial Intelligence in Gastrointestinal Endoscopy 2021年第4期2卷 127-135页

作者： vinícius remus ballotin Lucas Goldmann Bigarella John Soldera Jonathan Soldera School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560RSBrazil Computer Science Federal Institute of EducationScience and Technology FarroupilhaSantoÂngelo 98806-700RSBrazil Clinical Gastroenterology Universidade de Caxias do SulCaxias do Sul 95070-560RSBrazil

Each year,hepatocellular carcinoma is diagnosed in more than half a million people *** is the fifth most common cancer in men and the seventh most common cancer in *** diagnosis is currently made using imaging techniques,such as computed tomography and magnetic resonance *** most cirrhotic patients,these methods are enough for diagnosis,foregoing the necessity of a liver *** order to improve outcomes and bypass obstacles,many companies and clinical centers have been trying to develop deep learning systems that could be able to diagnose and classify liver nodules in the cirrhotic liver,in which the neural networks are one of the most efficient approaches to accurately diagnose liver *** the advances in deep learning systems for the diagnosis of imaging techniques,there are many issues that need better development in order to make such technologies more useful in daily practice.

关键词： Hepatocellular carcinoma Cirrhosis Machine learning Artificial intelligence

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Post-COVID-19 cholangiopathy:Systematic review

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World Journal of Methodology 2023年第4期13卷 296-322页

作者： Mazen Abdalla Rasheed vinícius remus ballotin Lucas Goldmann Bigarella Jonathan Soldera Acute Medicine University of South WalesCardiff CF371DLUnited Kingdom School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil

BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has had a profound impact on global health,primarily characterized by severe respiratory ***,emerging evidence suggests that COVID-19 can also lead to secondary sclerosing cholangitis(SC),referred to as post-COVID-19 *** To synthesize currently reported cases to assess the current state of knowledge on post-COVID-19 *** Medical Subject Headings and Health Sciences Descriptors were used to retrieve relevant studies,which were combined using Boolean *** were conducted on electronic databases including Scopus,Web of Science,and MEDLINE(PubMed).Studies published in English,Spanish,or Portuguese were included,with no restrictions on the publication ***,the reference lists of retrieved studies were manually *** descriptive analyses were used to summarize the *** the data were extracted and assessed based on Reference Citation Analysis(https://***/).RESULTS The initial search yielded a total of 192 *** screening,85 articles were excluded due to duplication,leaving 107 articles for further *** these,63 full-length articles met the inclusion criteria and were included in the *** of the patients were male and exhibited elevated liver function tests(93.8%).Magnetic resonance imaging revealed duct thickening with contrast enhancement(47.7%),as well as beading of the intrahepatic ducts(45.7%)with peribiliary contrast enhancement on diffusion(28.7%).Liver biopsy results confirmed SC in most cases(74.4%).Sixteen patients underwent liver transplantation,with three CONCLUSION Post-COVID-19 cholangiopathy is a serious condition that is expected to become increasingly concerning in the coming years,particularly considering long COVID *** liver transplantation has been proposed as a potential treatment option,more research is necessary to establish its efficacy an

关键词： Coronavirus disease 2019 Severe acute respiratory syndrome coronavirus 2 Cholangiopathy Liver function tests Liver transplantation

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Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model:A cohort study

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World Journal of Hepatology 2024年第2期16卷 193-210页

作者： Jonathan Soldera Leandro Luis Corso Matheus Machado Rech vinícius remus ballotin Lucas Goldmann Bigarella Fernanda Tomé Nathalia Moraes Rafael Sartori Balbinot Santiago Rodriguez Ajacio Bandeira de Mello Brandão Bruno Hochhegger Post Graduate Program at Acute Medicine and Gastroenterology University of South WalesCardiff CF371DLUnited Kingdom Postgraduate Program in Pathology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil Department of Engineering Universidade de Caxias do SulCaxias do Sul 95070-560Brazil School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil Postgraduate Program in Hepatology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil

BACKGROUND Liver transplant(LT)patients have become older and *** rate of post-LT major adverse cardiovascular events(MACE)has increased,and this in turn raises 30-d post-LT *** cardiac stress testing loses accuracy when applied to pre-LT cirrhotic *** To assess the feasibility and accuracy of a machine learning model used to predict post-LT MACE in a regional *** This retrospective cohort study involved 575 LT patients from a Southern Brazilian academic *** developed a predictive model for post-LT MACE(defined as a composite outcome of stroke,new-onset heart failure,severe arrhythmia,and myocardial infarction)using the extreme gradient boosting(XGBoost)machine learning *** addressed missing data(below 20%)for relevant variables using the k-nearest neighbor imputation method,calculating the mean from the ten nearest neighbors for each *** modeling dataset included 83 features,encompassing patient and laboratory data,cirrhosis complications,and pre-LT cardiac *** performance was assessed using the area under the receiver operating characteristic curve(AUROC).We also employed Shapley additive explanations(SHAP)to interpret feature *** dataset was split into training(75%)and testing(25%)*** was evaluated using the Brier *** followed Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for ***-learn and SHAP in Python 3 were used for all *** supplementary material includes code for model development and a user-friendly online MACE prediction *** Of the 537 included patients,23(4.46%)developed in-hospital MACE,with a mean age at transplantation of 52.9 *** majority,66.1%,were *** XGBoost model achieved an impressive AUROC of 0.89 during the training *** model exhibited accuracy,precision,recall,and F1-score values of 0.84,0.85,0.80,and 0.79,***

关键词： Liver transplantation Major adverse cardiac events Machine learning Myocardial perfusion imaging Stress test

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Comprehensive analysis of sodium polystyrene sulfonate-induced colitis:A systematic review

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World Journal of Meta-Analysis 2023年第7期11卷 351-367页

作者： Gabriel Peixoto Aver Guilherme Ferreira Ribeiro vinícius remus ballotin Francisco Souza dos Santos Lucas Goldmann Bigarella Floriano Riva Eduardo Brambilla Jonathan Soldera School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil Department of Pathology CPM Laboratório de PatologiaCaxias do Sul 95084-900RSBrazil Clinical Gastroenterology Universidade de Caxias do SulCaxias do Sul 95070-560RSBrazil Acute Medicine and Gastroenterology University of South WalesCardiff CF371DLUnited Kingdom

BACKGROUND Sodium polystyrene sulfonate(SPS)is commonly prescribed for the management of hyperkalemia,a critical electrolyte imbalance contributing to over 800000 annual visits to emergency *** To conduct a systematic review of documented cases of SPS-induced colitis and assess its associated *** Following the PRISMA-P guidelines,our study employed Medical Subject Headings and Health Sciences Descriptors,skillfully combined using Boolean operators,to conduct comprehensive searches across various electronic databases,including Scopus,Web of Science,MEDLINE(PubMed),BIREME(Biblioteca Regional de Medicina),LILACS(Latin American and Caribbean Health Sciences Literature),SciELO(Scientific Electronic Library Online),Embase,and *** criteria were confined to English,Spanish,and Portuguese,with no limitations on the publication ***,we manually scrutinized the reference lists of retrieved *** present our findings,we utilized simple descriptive *** Our search strategy yielded a total of 442 *** rigorous evaluation,we included 51 references,encompassing 59 documented cases of *** clinical presentations included abdominal pain,observed in 35(60.3%)cases,and bloating,reported in 18(31%)*** most frequently affected sites of inflammation were the cecum,rectum,and small intestine,accounting for 31%,25.8%,and 22.4%of cases,*** findings were described in 28(48.2%)cases,and 29(50%)of patients required surgical *** the subset of patients for whom outcome data was available,39(67.2%)experienced favorable outcomes,while 12(20.6%)unfortunately succumbed to the *** mean time required for resolution was 36.7 d,with a range spanning from 1 to 120 *** SPS demonstrates the capacity to effectively lower serum potassium levels within 24 ***,this benefit is not without the risk of bowel *** study highlights the absence of

关键词： Sodium polystyrene sulfonate Hyperkalemia Colitis Bowel necrosis Kayexalate

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Bridging element-free Galerkin and pluri-Gaussian simulation for geological uncertainty estimation in an ensemble smoother data assimilation framework

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Petroleum Science 2024年第3期21卷 1683-1698页

作者： Bogdan Sebacher remus Hanea Department of Applied Informatics Military Technical Academy“Ferdinand I”Bucharest 050141Romania Equinor Sandslivegen 905254 SandsliBergenNorway

The facies distribution of a reservoir is one of the biggest concerns for geologists,geophysicists,reservoir modelers,and reservoir engineers due to its high importance in the setting of any reliable decisionmaking/optimization of field development *** approach for parameterizing the facies distribution as a random variable comes naturally through using the probability *** the prior probability fields of facies come either from a seismic inversion or from other sources of geologic information,they are not conditioned to the data observed from the cores extracted from the *** paper presents a regularized element-free Galerkin(R-EFG)method for conditioning facies probability fields to facies *** conditioned probability fields respect all the conditions of the probability theory(*** the values are between 0 and 1,and the sum of all fields is a uniform field of 1).This property achieves by an optimization procedure under equality and inequality constraints with the gradient projection *** conditioned probability fields are further used as the input in the adaptive pluri-Gaussian simulation(APS)methodology and coupled with the ensemble smoother with multiple data assimilation(ES-MDA)for estimation and uncertainty quantification of the facies *** history-matching of the facies models shows a good estimation and uncertainty quantification of facies distribution,a good data match and prediction capabilities.

关键词： Element free Galerkin(EFG) Adaptive pluri-Gaussian simulation(APS) Facies distribution estimation Ensemble smoother with multipledata assimilation(ESMDA)

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Boosting battery state of health estimation based on self-supervised learning

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Journal of Energy Chemistry 2023年第9期84卷 335-346页

作者： Yunhong Che Yusheng Zheng Xin Sui remus Teodorescu Department of Energy Aalborg UniversityAalborg 9220Denmark

State of health(SoH) estimation plays a key role in smart battery health prognostic and ***,poor generalization,lack of labeled data,and unused measurements during aging are still major challenges to accurate SoH *** this end,this paper proposes a self-supervised learning framework to boost the performance of battery SoH *** from traditional data-driven methods which rely on a considerable training dataset obtained from numerous battery cells,the proposed method achieves accurate and robust estimations using limited labeled data.A filter-based data preprocessing technique,which enables the extraction of partial capacity-voltage curves under dynamic charging profiles,is applied at *** learning is then used to learn the aging characteristics from the unlabeled data through an *** learned network parameters are transferred to the downstream SoH estimation task and are fine-tuned with very few sparsely labeled data,which boosts the performance of the estimation *** proposed method has been validated under different battery chemistries,formats,operating conditions,and *** estimation accuracy can be guaranteed by using only three labeled data from the initial 20% life cycles,with overall errors less than 1.14% and error distribution of all testing scenarios maintaining less than 4%,and robustness increases with *** with other pure supervised machine learning methods demonstrate the superiority of the proposed *** simple and data-efficient estimation framework is promising in real-world applications under a variety of scenarios.

关键词： Lithium-ion battery State of health Battery aging Self-supervised learning Prognostics and health management Data-driven estimation

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Towards Long Lifetime Battery:AI-Based Manufacturing and Management

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1139-1165页

作者： Kailong Liu Zhongbao Wei Chenghui Zhang Yunlong Shang remus Teodorescu Qing-Long Han Warwick Manufacturing Group University of WarwickCoventry CV47ALUnited Kingdom National Engineering Laboratory for Electric Vehicles School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China School of Control Science and Engineering Shandong UniversityJinan 250061China Department of Energy Technology Aalborg UniversityAalborg 9220Denmark School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia IEEE

Technologies that accelerate the delivery of reliable battery-based energy storage will not only contribute to decarbonization such as transportation electrification,smart grid,but also strengthen the battery supply *** battery inevitably ages with time,losing its capacity to store charge and deliver it *** directly affects battery safety and efficiency,making related health management *** advancements in automation science and engineering raised interest in AI-based solutions to prolong battery lifetime from both manufacturing and management *** paper aims at presenting a critical review of the state-of-the-art AI-based manufacturing and management strategies towards long lifetime ***,AI-based battery manufacturing and smart battery to benefit battery health are *** the most adopted AI solutions for battery life diagnostic including state-of-health estimation and ageing prediction are reviewed with a discussion of their advantages and *** through designing suitable AI solutions to enhance battery longevity are also ***,the main challenges involved and potential strategies in this field are *** work will inform insights into the feasible,advanced AI for the health-conscious manufacturing,control and optimization of battery on different technology readiness levels.

关键词： Artificial intelligence battery health management battery life diagnostic battery manufacturing smart battery

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Mapping flood and flooding potential indices： a methodological approach to identifying areas susceptible to flood and flooding risk. Case study： the Prahova catchment （Romania）

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Frontiers of Earth Science 2017年第2期11卷 229-247页

作者： Liliana ZAHARIA Romulus COSTACHE remus PRAVALIE Gabriela IOANA-TOROIMAC Faculty of Geography University of Bucharest 1 Nieolae Balcescu Str. 010041 Bucharest Romania National Institute of Hydrology and Water Management 97 Bucuresti-Ploiesti Str. District 1 Bucharest Romania

Given that floods continue to cause yearly significant worldwide human and material damages, flood risk mitigation is a key issue and a permanent challenge in developing policies and strategies at various spatial scales. Therefore, a basic phase is elaborating hazard and flood risk maps, documents which are an essential support for flood risk management. The aim of this paper is to develop an approach that allows for the identification of flash-flood and flood-prone susceptible areas based on computing and mapping of two indices： FFPI （Flash-Flood Potential Index） and FPI （Flooding Potential Index）. These indices are obtained by integrating in a GIS environment several geographical variables which control runoff（in the case of the FFPI） and favour flooding （in the case of the FPI）. The methodology was applied in the upper （mountainous） and middle （hilly） catchment of the Prahova River, a densely populated and socioeconomically well-developed area which has been affected repeatedly by water-related hazards over the past decades. The resulting maps showing the spatialization of the FFPI and FPI allow for the identification of areas with high susceptibility to flash- floods and flooding. This approach can provide useful mapped information, especially for areas （generally large） where there are no flood/hazard risk maps. Moreover, the FFPI and FPI maps can constitute a preliminary step for flood risk and vulnerability assessment.

关键词： flash-flood flooding Flash-flood/FloodingPotential Index Prahova River catchment Romania

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