A Simple Prediction Score for Diagnosis of Acute Pancreatitis
- PMID: 36099125
- PMCID: PMC9463918
- DOI: 10.21873/invivo.12958
A Simple Prediction Score for Diagnosis of Acute Pancreatitis
Abstract
Background/aim: The diagnostic accuracy (DA) for patients with acute pancreatitis (AcPa) has been rarely evaluated.
Patients and methods: In the AcPa study group, there were 22 patients versus 1,311 patients in the non-AcPa group. The clinical history-taking variables (CHT) (n=22), clinical signs & tests details (CST) (n=14), and laboratory analyses (n=3) were recorded in each patient. Meta-analytical techniques were used to detect the summary sensitivity (Se) and specificity (Sp) estimates for each data set; CHT, CST, and diagnostic scores (DS).
Results: In receiver operating characteristic (ROC) analysis, the area under curve (AUC) values for i) CHT, ii) CST, and iii) DS were as follows: i) AUC=0.640 (95%CI=0.550-0.730); ii) AUC=0.588 (95%CI=0.520-0.656), and iii) AUC=0.943 (95%CI=0.910-0.976). The differences between these AUC values (roccomp analysis) are as follows: i) versus ii) p=0.155; i) versus iii) p<0.0001; ii) versus iii) p<0.0001.
Conclusion: The new DS introduced in this study proved to be far superior to both symptoms and signs & tests in its DA for AcPa, as demonstrated by HSROC analysis.
Keywords: Abdominal pain; HSROC; acute pancreatitis; diagnostic accuracy; diagnostic score.
Copyright © 2022, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.
Conflict of interest statement
The Authors report no conflicts of interest or financial ties in relation to this study.
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References
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- Triantopoulou C, Lytras D, Maniatis P, Chrysovergis D, Manes K, Siafas I, Papailiou J, Dervenis C. Computed tomography versus Acute Physiology and Chronic Health Evaluation II score in predicting severity of acute pancreatitis: a prospective, comparative study with statistical evaluation. Pancreas. 2007;35(3):238–242. doi: 10.1097/MPA.0b013e3180619662. - DOI - PubMed
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