Vol. 69 No. 6 (2017)
Original Articles

Bedside index for severity in acute pancreatitis as a predictor of mortality in acute pancreatitis in the Emergency Service

PDF (Español (España)) HTML (Español (España))
  • Franklin Ríos Jaimes,
  • Enrique Villarreal Ríos,
  • Lidia Martínez González,
  • Emma Rosa Vargas Daza,
  • Liliana Galicia Rodríguez,
  • Mayra Cristina Ortiz Sánchez,
  • Claudia Gardun ̃o Rodríguez
Franklin Ríos Jaimes
Instituto Mexicano del Seguro Social (IMSS)
Enrique Villarreal Ríos
Instituto Mexicano del Seguro Social (IMSS)
Lidia Martínez González
Instituto Mexicano del Seguro Social (IMSS)
Emma Rosa Vargas Daza
Instituto Mexicano del Seguro Social (IMSS)
Liliana Galicia Rodríguez
Instituto Mexicano del Seguro Social (IMSS)
Mayra Cristina Ortiz Sánchez
Instituto Mexicano del Seguro Social (IMSS)
Claudia Gardun ̃o Rodríguez
Instituto Mexicano del Seguro Social (IMSS)

Keywords

How to Cite

1.
Ríos Jaimes F, Villarreal Ríos E, Martínez González L, Vargas Daza ER, Galicia Rodríguez L, Ortiz Sánchez MC, et al. Bedside index for severity in acute pancreatitis as a predictor of mortality in acute pancreatitis in the Emergency Service. Rev Cir. [Internet]. 2017 Dec. 31 [cited 2026 Aug. 22];69(6). Available from: https://revistacirugia.cl/index.php/revistacirugia/article/view/37
Copyright Notice

Abstract

Objective:

To determine BISAP as a predictor of mortality in acute pancreatitis in the Emergency Service.

Materials and methods:

A cohort study in acute pancreatitis in emergency service, two groups were formed according to BISAP score, low risk (0-2) and high risk (3-5). The total sample for each group was 23.76, nevertheless it was worked with 111 patients of low risk and 23 of high risk. The sampling technique was non-randomized by quota. Mortality was measured at 24 h and at 7 days. Statistical analysis included logistic regression and probability calculation.

Results:

When the BISAP score is high risk the probability of dying at 24 h is 22.7% and 76.5% at 7 days (Chi2 = 13.91, P=.002).

Discussion and conclusion:

The BISAP score allows predicting the probability of dying at 24 h and at 7 days.

PDF (Español (España)) HTML (Español (España))