Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2010 Jul-Sep;30(3):211-5.

[Predictive mortality value of the peritonitis index of Mannheim]

[Article in Spanish]
Affiliations
  • PMID: 20924428
Comparative Study

[Predictive mortality value of the peritonitis index of Mannheim]

[Article in Spanish]
Elizabeth Barrera Melgarejo et al. Rev Gastroenterol Peru. 2010 Jul-Sep.

Abstract

Objective: To determine the predictive value of the index of peritonitis of Mannheim in patients with peritonitis in the Hospital Nacional Cayetano Heredia.

Patients and methods: A prospective study appears, of 103 patients, greater of 14 years, with I diagnose of peritonitis, between November 2004 to April 2005. For its analysis I am used the square test of chi with coefficient of Pearson, and the test of T of student. For the analysis of the data two modalities were used, the first patients were divided in 3 groups, according to the value of the index of Mannheim, < 21, of 21 to 29, and > 29, and in 2 groups, d 26 and > 26 points. I am made considered of survival of Kaplan the Meier, using statistical program STATA 8.0

Results: a mortality of 50% in patients with greater index of 26 points was obtained. One was a sensitivity 95.9%, a specificity of 80%, with positive a predictive value 98.9% and a negative predictive value of 50%. When considering 3 groups, < 21, 21-29 and > 29 points, was a mortality of 60% in patients with greater index of 29. I am made a survival curve obtaining itself a significant difference with a p=0, 0098. Figure 2.

Conclusions: We found that the classification in 3 groups presents statistically significant difference, reason why recommended its use for the evaluation and beginning of aggressive measures.

PubMed Disclaimer

LinkOut - more resources