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A Simple Prediction Score for Diagnosis of Acute Pancreatitis
Maaret Eskelinen1, Jannica Meklin2, Tuomas Selander3
1Department of Surgery, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland; matti.eskelinen@kuh.fi.
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.
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