Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Detalhes bibliográficos
Autor(a) principal: Silva-Vaz, Pedro
Data de Publicação: 2020
Outros Autores: Abrantes, Ana Margarida, Castelo-Branco, Miguel, Gouveia, António, Botelho, Maria Filomena, Tralhão, José Guilherme
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106196
https://doi.org/10.3390/ijms21010338
Resumo: Acute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.
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spelling Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practiceacute pancreatitisseverityprognosticmultifactorial scoring systembiomarkerAcute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.MDPI2020-01-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106196http://hdl.handle.net/10316/106196https://doi.org/10.3390/ijms21010338eng1422-0067319479931422-0067Silva-Vaz, PedroAbrantes, Ana MargaridaCastelo-Branco, MiguelGouveia, AntónioBotelho, Maria FilomenaTralhão, José Guilhermeinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-24T21:34:01ZPortal AgregadorONG
dc.title.none.fl_str_mv Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
title Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
spellingShingle Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
Silva-Vaz, Pedro
acute pancreatitis
severity
prognostic
multifactorial scoring system
biomarker
title_short Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
title_full Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
title_fullStr Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
title_full_unstemmed Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
title_sort Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
author Silva-Vaz, Pedro
author_facet Silva-Vaz, Pedro
Abrantes, Ana Margarida
Castelo-Branco, Miguel
Gouveia, António
Botelho, Maria Filomena
Tralhão, José Guilherme
author_role author
author2 Abrantes, Ana Margarida
Castelo-Branco, Miguel
Gouveia, António
Botelho, Maria Filomena
Tralhão, José Guilherme
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva-Vaz, Pedro
Abrantes, Ana Margarida
Castelo-Branco, Miguel
Gouveia, António
Botelho, Maria Filomena
Tralhão, José Guilherme
dc.subject.por.fl_str_mv acute pancreatitis
severity
prognostic
multifactorial scoring system
biomarker
topic acute pancreatitis
severity
prognostic
multifactorial scoring system
biomarker
description Acute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-04
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/106196
http://hdl.handle.net/10316/106196
https://doi.org/10.3390/ijms21010338
url http://hdl.handle.net/10316/106196
https://doi.org/10.3390/ijms21010338
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1422-0067
31947993
1422-0067
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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