Predicting Acute Pancreatitis Severity: Comparison of Prognostic Scores

Marco Simoes, Patricia Alves, Helder Esperto, Catarina Canha, Elisa Meira, Erica Ferreira, Manuel Gomes, Isabel Fonseca, Benilde Barbosa, Jose Nascimento Costa

Abstract


Background: Acute pancreatitis has a broad clinical spectrum, from mild illness to multiple organ failure and death. Prognostic scores have been developed or adapted to predict disease severity. This study aimed to compare the prognostic scores according to sensitivity and specificity, receiver operating characteristic curves and area under the curve. Statistical correlation with disease severity, length of hospital stay, mortality and complication rates.

Methods: Retrospective analysis of the clinical data of patients admitted to an Internal Medicine ward with the diagnosis of acute pancreatitis over a ten year period. Evaluation of prognostic scores: Ranson, Glasgow-Imrie, Balthazar, APACHE II (admission and at 48 hours) and C-reactive protein (48 hours), was carried out as well as statistical analysis using Microsoft Excel 2007 and SPSS 16. The confidence interval used was 95%.

Results: Data from 193 clinical files was collected. However, 67 were excluded due to lack of information. According to the Atlanta criteria, 90 cases were deemed as mild and 36 severe. The mortality rate was 6% and the local complication rate was 9.3%. Ranson, Glasgow and APACHE II scores had significant correlation with mortality. Apart from C-reactive protein levels at 48 hours, all scores had significant correlation with disease severity. The scores with best area under the curve correlation were APACHE II (48 hours): 0.892, Ranson: 0.879, and APACHE II (admission): 0.861.

Conclusions: The most accurate prognostic scores in this study were APACHE II (48 hours) and Ranson. APACHE II at admission was a good indicator, impaired only by high false positive ratio.




doi:10.4021/gr364w


Keywords


Acute Pancreatitis; Prognostic Scores; APACHE II; Ranson; Glasgow; Balthazar; C-reactive Protein

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