Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis

Background. It is critical to accurately identify patients with severe acute pancreatitis (SAP) and moderately SAP (MSAP) in a timely manner. The study was done to establish two early multi-indicator prediction models of MSAP and SAP. Methods. Clinical data of 469 patients with acute pancreatitis (A...

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Main Authors: Shan-Shan He, Dan Li, Qi-Yong He, Xiao-Ping Chen, Yong-Xu Lin, Yun-Wen Yu, Feng-Lin Chen, Jian Ding
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Gastroenterology Research and Practice
Online Access:http://dx.doi.org/10.1155/2022/5142473
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author Shan-Shan He
Dan Li
Qi-Yong He
Xiao-Ping Chen
Yong-Xu Lin
Yun-Wen Yu
Feng-Lin Chen
Jian Ding
author_facet Shan-Shan He
Dan Li
Qi-Yong He
Xiao-Ping Chen
Yong-Xu Lin
Yun-Wen Yu
Feng-Lin Chen
Jian Ding
author_sort Shan-Shan He
collection DOAJ
description Background. It is critical to accurately identify patients with severe acute pancreatitis (SAP) and moderately SAP (MSAP) in a timely manner. The study was done to establish two early multi-indicator prediction models of MSAP and SAP. Methods. Clinical data of 469 patients with acute pancreatitis (AP) between 2015 and 2020, at the First Affiliated Hospital of Fujian Medical University, and between 2012 and 2020, at the Affiliated Union Hospital of Fujian Medical University, were retrospectively analyzed. The unweighted predictive score (unwScore) and weighted predictive score (wScore) for MSAP and SAP were derived using logistic regression analysis and were compared with four existing systems using receiver operating characteristic curves. Results. Seven prognostic indicators were selected for incorporation into models, including white blood cell count, lactate dehydrogenase, C-reactive protein, triglyceride, D-dimer, serum potassium, and serum calcium. The cut-offs of the unwScore and wScore for predicting severity were set as 3 points and 0.513 points, respectively. The unwScore (AUC=0.854) and wScore (AUC=0.837) were superior to the acute physiology and chronic health evaluation II score (AUC=0.526), the bedside index for severity in AP score (AUC=0.766), and the Ranson score (AUC=0.693) in predicting MSAP and SAP, which were equivalent to the modified computed tomography severity index score (AUC=0.823). Conclusions. The unwScore and wScore have good predictive value for MSAP and SAP, which could provide a valuable clinical reference for management and treatment.
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spelling doaj-art-bc05aad5807d4e03aba2a38b6453cb3b2025-02-03T01:32:06ZengWileyGastroenterology Research and Practice1687-630X2022-01-01202210.1155/2022/5142473Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute PancreatitisShan-Shan He0Dan Li1Qi-Yong He2Xiao-Ping Chen3Yong-Xu Lin4Yun-Wen Yu5Feng-Lin Chen6Jian Ding7Liver Research CenterDigestive DepartmentDigestive DepartmentDepartment of StatisticsDigestive DepartmentDigestive DepartmentDigestive DepartmentDigestive DepartmentBackground. It is critical to accurately identify patients with severe acute pancreatitis (SAP) and moderately SAP (MSAP) in a timely manner. The study was done to establish two early multi-indicator prediction models of MSAP and SAP. Methods. Clinical data of 469 patients with acute pancreatitis (AP) between 2015 and 2020, at the First Affiliated Hospital of Fujian Medical University, and between 2012 and 2020, at the Affiliated Union Hospital of Fujian Medical University, were retrospectively analyzed. The unweighted predictive score (unwScore) and weighted predictive score (wScore) for MSAP and SAP were derived using logistic regression analysis and were compared with four existing systems using receiver operating characteristic curves. Results. Seven prognostic indicators were selected for incorporation into models, including white blood cell count, lactate dehydrogenase, C-reactive protein, triglyceride, D-dimer, serum potassium, and serum calcium. The cut-offs of the unwScore and wScore for predicting severity were set as 3 points and 0.513 points, respectively. The unwScore (AUC=0.854) and wScore (AUC=0.837) were superior to the acute physiology and chronic health evaluation II score (AUC=0.526), the bedside index for severity in AP score (AUC=0.766), and the Ranson score (AUC=0.693) in predicting MSAP and SAP, which were equivalent to the modified computed tomography severity index score (AUC=0.823). Conclusions. The unwScore and wScore have good predictive value for MSAP and SAP, which could provide a valuable clinical reference for management and treatment.http://dx.doi.org/10.1155/2022/5142473
spellingShingle Shan-Shan He
Dan Li
Qi-Yong He
Xiao-Ping Chen
Yong-Xu Lin
Yun-Wen Yu
Feng-Lin Chen
Jian Ding
Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
Gastroenterology Research and Practice
title Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
title_full Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
title_fullStr Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
title_full_unstemmed Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
title_short Establishment of Early Multi-Indicator Prediction Models of Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis
title_sort establishment of early multi indicator prediction models of moderately severe acute pancreatitis and severe acute pancreatitis
url http://dx.doi.org/10.1155/2022/5142473
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