Literature DB >> 17881932

The panc 3 score: a rapid and accurate test for predicting severity on presentation in acute pancreatitis.

Alphonso Brown1, Toyia James-Stevenson, Tara Dyson, David Grunkenmeier.   

Abstract

GOAL: The goal of our study was to develop a simple rule that could rapidly identify those at risk for severe acute pancreatitis (SAP) in the ER.
METHODS: We identified all published studies reporting risk factors for SAP. We identified 3 risk factors which had been shown to predict SAP. The risk factors we identified were a serum hematocrit greater than 44 mg/dL, a body mass index (BMI) greater than 30 mg/kg, and a chest x-ray which reveals a pleural effusion (Panc 3 criteria). We computed the test-operating characteristics and likelihood ratios for each risk factor using the patients originally sampled in each of the studies (n=393). For validation, we examined Panc 3's ability to predict SAP in patients seen at our medical center [University of North Carolina at Chapel Hill (UNC) hospitals n=238].
RESULTS: The likelihood ratios positive and negative for HCT, BMI>30 kg/M, and a chest x-ray with a pleural effusion were 14, 9.8, and 8.7, respectively, for the original data and 178, 2.4, and 1.3 for the UNC data. Sensitivity analysis revealed satisfaction of the HCT, BMI, and pleural effusion criteria had a posttest likelihood of disease 99% when the pretest probability of disease varied from 12-25%. These values were true for the original and UNC data.
CONCLUSIONS: The Panc 3 score is easy to use and accurate for the prediction of SAP. The serum HCT was the strongest predictor of SAP. The combination of the Panc 3 variables was highly predictive of SAP.

Entities:  

Mesh:

Year:  2007        PMID: 17881932     DOI: 10.1097/01.mcg.0000248005.73075.e4

Source DB:  PubMed          Journal:  J Clin Gastroenterol        ISSN: 0192-0790            Impact factor:   3.062


  18 in total

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Review 3.  Acute pancreatitis: should we use antibiotics?

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5.  Comparative analysis of selected scales to assess prognosis in acute pancreatitis.

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6.  Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis.

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7.  The Pancreatitis Activity Scoring System predicts clinical outcomes in acute pancreatitis: findings from a prospective cohort study.

Authors:  James Buxbaum; Michael Quezada; Bradford Chong; Nikhil Gupta; Chung Yao Yu; Christianne Lane; Ben Da; Kenneth Leung; Ira Shulman; Stephen Pandol; Bechien Wu
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Review 8.  Predictors of adverse outcomes in acute pancreatitis: new horizons.

Authors:  Rupjyoti Talukdar; D Nageshwar Reddy
Journal:  Indian J Gastroenterol       Date:  2013-03-12

Review 9.  Genetics of acute and chronic pancreatitis.

Authors:  Rawad Mounzer; David C Whitcomb
Journal:  Curr Opin Gastroenterol       Date:  2013-09       Impact factor: 3.287

10.  [Harmless acute pancreatitis score on admission can accurately predict mild acute pancreatitis].

Authors:  Xiaohua Ma; Lan Li; Tao Jin; Qing Xia
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-02-29
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