Concept of informational tool for MAFLD and COVID-19 severity interplay assessment
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SECRIERU, Iulian, TURCAN, Svetlana, GUTULEAC, Elena, POPCOVA, Olga. Concept of informational tool for MAFLD and COVID-19 severity interplay assessment. In: Mathematics and Information Technologies: Research and Education, Ed. 2021, 1-3 iulie 2021, Chişinău. Chișinău, Republica Moldova: 2021, pp. 113-114.
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Mathematics and Information Technologies: Research and Education 2021
Conferința "Mathematics and Information Technologies: Research and Education"
2021, Chişinău, Moldova, 1-3 iulie 2021

Concept of informational tool for MAFLD and COVID-19 severity interplay assessment


Pag. 113-114

Secrieru Iulian1, Turcan Svetlana2, Gutuleac Elena1, Popcova Olga1
 
1 Vladimir Andrunachievici Institute of Mathematics and Computer Science,
2 ”Nicolae Testemițanu” State University of Medicine and Pharmacy
 
 
Disponibil în IBN: 1 iulie 2021


Rezumat

The earliest evidence suggested that obese patients, who often present Metabolic Associated Fatty Liver Disease (MAFLD), are even more vulnerable at severe presentation of COVID-19. On the one hand, the e®ect of compromised liver function, as a result of MAFLD, on the severity of COVID-19 illness [1] has not been well studied yet. We aim to systematize the info and data of patients with fatty liver and evaluate the severity of COVID-19 in this cohort. On the other hand, most likely, these patients will receive drugs necessary for the treatment of acute respiratory syndrome, antiviral agents and other drugs to treat systemic in°ammation, combat bacterial and fungal superinfections. Among these pharmaceuticals can produce some drug-induced liver injury (DILI) [2]. The mechanisms of DILI are not always understood. There is a clear need for a deeper understanding of interplay between MAFLD and severity of COVID-19. For more reliable and accurate results, we plan to create a partnership and combine the e®orts of medical experts and the specialists in the ¯eld of medical informatics. The overall research objective is to elucidate relationship between fatty liver and COVID-19 by creating a data warehouse of MAFLD cases, based on a single ontology (protocol), and to provide intelligent information tool for quantifying and assessing the reciprocation of compromised liver function as a result of MAFLD and the severity of COVID-19 illness, and vice versa, COVID19 treatment and MAFLD progression, using our existing experience [3]. Relevance of the assumed overall objective is enormous, as we have witnessed the wide spread of MAFLD, which predominantly a®ect people of working age, having a signi¯cant negative impact on social and economic development. COVID-19 pandemic only made things worse. The research for this paper have been supported by the COST Action CA17112 \Prospective European Drug-Induced Liver Injury Network" and the project 20.80009.5007.22 \Intelligent information systems for solving ill-structured problems, processing knowledge and big data" in the framework of the State Program.

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<description xml:lang='en' descriptionType='Abstract'><p>The earliest evidence suggested that obese patients, who often present Metabolic Associated Fatty Liver Disease (MAFLD), are even more vulnerable at severe presentation of COVID-19. On the one hand, the e&reg;ect of compromised liver function, as a result of MAFLD, on the severity of COVID-19 illness [1] has not been well studied yet. We aim to systematize the info and data of patients with fatty liver and evaluate the severity of COVID-19 in this cohort. On the other hand, most likely, these patients will receive drugs necessary for the treatment of acute respiratory&nbsp;syndrome, antiviral agents and other drugs to treat systemic in&deg;ammation, combat bacterial and fungal superinfections. Among these pharmaceuticals can produce some drug-induced liver injury (DILI) [2]. The mechanisms of DILI are not always understood. There is a clear need for a deeper understanding of interplay between MAFLD and severity of COVID-19. For more reliable and accurate results, we plan to create a partnership and combine the e&reg;orts of medical experts and the specialists in the &macr;eld of medical informatics. The overall research objective is to elucidate relationship between fatty liver and COVID-19 by creating a data warehouse of MAFLD cases, based on a single ontology (protocol), and to provide intelligent information tool for quantifying and assessing the reciprocation of compromised liver function as a result of MAFLD and the severity of COVID-19 illness, and vice versa, COVID19 treatment and MAFLD progression, using our existing experience [3]. Relevance of the assumed overall objective is enormous, as we have witnessed the wide spread of MAFLD, which predominantly a&reg;ect people of working age, having a signi&macr;cant negative impact on social and economic development. COVID-19 pandemic only made things worse. The research for this paper have been supported by the COST Action CA17112 \Prospective European Drug-Induced Liver Injury Network&quot; and the project 20.80009.5007.22 \Intelligent information systems for solving ill-structured problems, processing knowledge and big data&quot; in the framework of the State Program.</p></description>
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