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Predicting Severity of Acute Pancreatitis
Acute pancreatitis has a diverse etiology and natural history, and some patients have severe complications with a high risk of mortality. The prediction of the severity of acute pancreatitis should be achieved by a careful ongoing clinical assessment coupled with the use of a multiple-factor scoring...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227091/ https://www.ncbi.nlm.nih.gov/pubmed/35744050 http://dx.doi.org/10.3390/medicina58060787 |
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author | Lee, Dong Wook Cho, Chang Min |
author_facet | Lee, Dong Wook Cho, Chang Min |
author_sort | Lee, Dong Wook |
collection | PubMed |
description | Acute pancreatitis has a diverse etiology and natural history, and some patients have severe complications with a high risk of mortality. The prediction of the severity of acute pancreatitis should be achieved by a careful ongoing clinical assessment coupled with the use of a multiple-factor scoring system and imaging studies. Over the past 40 years, various scoring systems have been suggested to predict the severity of acute pancreatitis. However, there is no definite and ideal scoring system with a high sensitivity and specificity. The interest in new biological markers and predictive models for identifying severe acute pancreatitis testifies to the continued clinical importance of early severity prediction. Although contrast-enhanced computed tomography (CT) is considered the gold standard for diagnosing pancreatic necrosis, early scanning for the prediction of severity is limited because the full extent of pancreatic necrosis may not develop within the first 48 h of presentation. This article provides an overview of the available scoring systems and biochemical markers for predicting severe acute pancreatitis, with a focus on their characteristics and limitations. |
format | Online Article Text |
id | pubmed-9227091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92270912022-06-25 Predicting Severity of Acute Pancreatitis Lee, Dong Wook Cho, Chang Min Medicina (Kaunas) Review Acute pancreatitis has a diverse etiology and natural history, and some patients have severe complications with a high risk of mortality. The prediction of the severity of acute pancreatitis should be achieved by a careful ongoing clinical assessment coupled with the use of a multiple-factor scoring system and imaging studies. Over the past 40 years, various scoring systems have been suggested to predict the severity of acute pancreatitis. However, there is no definite and ideal scoring system with a high sensitivity and specificity. The interest in new biological markers and predictive models for identifying severe acute pancreatitis testifies to the continued clinical importance of early severity prediction. Although contrast-enhanced computed tomography (CT) is considered the gold standard for diagnosing pancreatic necrosis, early scanning for the prediction of severity is limited because the full extent of pancreatic necrosis may not develop within the first 48 h of presentation. This article provides an overview of the available scoring systems and biochemical markers for predicting severe acute pancreatitis, with a focus on their characteristics and limitations. MDPI 2022-06-11 /pmc/articles/PMC9227091/ /pubmed/35744050 http://dx.doi.org/10.3390/medicina58060787 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Lee, Dong Wook Cho, Chang Min Predicting Severity of Acute Pancreatitis |
title | Predicting Severity of Acute Pancreatitis |
title_full | Predicting Severity of Acute Pancreatitis |
title_fullStr | Predicting Severity of Acute Pancreatitis |
title_full_unstemmed | Predicting Severity of Acute Pancreatitis |
title_short | Predicting Severity of Acute Pancreatitis |
title_sort | predicting severity of acute pancreatitis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227091/ https://www.ncbi.nlm.nih.gov/pubmed/35744050 http://dx.doi.org/10.3390/medicina58060787 |
work_keys_str_mv | AT leedongwook predictingseverityofacutepancreatitis AT chochangmin predictingseverityofacutepancreatitis |