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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
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| Series: | Medicina |
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| Online Access: | https://www.mdpi.com/1648-9144/58/6/787 |
| _version_ | 1797484574633099264 |
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| author | Dong Wook Lee Chang Min Cho |
| author_facet | Dong Wook Lee Chang Min Cho |
| author_sort | Dong Wook Lee |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T23:07:20Z |
| format | Article |
| id | doaj.art-e4259fcb96c141ab9cf9996980e8f4ad |
| institution | Directory Open Access Journal |
| issn | 1010-660X 1648-9144 |
| language | English |
| last_indexed | 2024-03-09T23:07:20Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Medicina |
| spelling | doaj.art-e4259fcb96c141ab9cf9996980e8f4ad2023-11-23T17:52:35ZengMDPI AGMedicina1010-660X1648-91442022-06-0158678710.3390/medicina58060787Predicting Severity of Acute PancreatitisDong Wook Lee0Chang Min Cho1Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, KoreaDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, KoreaAcute 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.https://www.mdpi.com/1648-9144/58/6/787acute pancreatitisseveritypredicting factors |
| spellingShingle | Dong Wook Lee Chang Min Cho Predicting Severity of Acute Pancreatitis Medicina acute pancreatitis severity predicting factors |
| 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 | acute pancreatitis severity predicting factors |
| url | https://www.mdpi.com/1648-9144/58/6/787 |
| work_keys_str_mv | AT dongwooklee predictingseverityofacutepancreatitis AT changmincho predictingseverityofacutepancreatitis |