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.
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.Objective The objective of this study is to investigate the predictive value of a parametric model constructed by using procalcitonin, C-reactive protein (CRP) and D dimer within 48 h after admission in moderately severe and severe acute pancreatitis. Methods A total of 238 patients were enrolled, of which 170 patients were moderately severe and severe acute pancreatitis (MSAP+SAP). The concentrations of procalcitonin, CRP and D dimer within 48 h after admission were obtained. The predictive value of the parametric model, modified computed tomography severity index (MCTSI), bedside index for severity in acute pancreatitis (BISAP), Ranson score, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, modified Marshall score and systemic inflammatory response syndrome (SIRS) score of all patients was calculated and compared. ResultsThe area under receiver operator characteristic curve, sensitivity, specificity, Youden index and critical value of the parametric model for predicting MSAP+SAP were 0.853 (95% CI, 0.804-0.903), 84.71%, 70.59%, 55.30% and 0.2833, respectively. The sensitivity of the parametric model was higher than that of MCTSI (84.00%), Ranson score (73.53%), BISAP (56.47%), APACHE II score (27.65%), modified Marshall score (17.06%) and SIRS score (78.24%); the specificity of it were higher than that of MCTSI (52.94%) and Ranson score (67.65%), but lower than BISAP (73.53%), APACHE II score (76.47%), modified Marshall score (100%)and SIRS score (100.00%). ConclusionThe parametric model constructed by using procalcitonin 48 h, CRP 48 h and D dimer 48 h can be regarded as an evaluation model for predicting moderately severe and severe acute pancreatitis.
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