In-hospital mortality in spontaneous bacterial peritonitis: a new predictive model

Sónia Rito Nobre1, José Eduardo Pina Cabral, João José Ferreira Gomes

  • 1Unit of Gastroenterology, Hospital Center of Cascais, Cascais, Portugal. soninobre@hotmail.com

Abstract

Insights

The Model for End-Stage Liver Disease (MELD) score and advanced age are key predictors of short-term mortality in patients with spontaneous bacterial peritonitis (SBP). Incorporating age improves the MELD score's predictive accuracy for SBP patient outcomes.

Area of Science:

  • Hepatology
  • Internal Medicine
  • Critical Care Medicine

Background:

  • Spontaneous bacterial peritonitis (SBP) is a serious complication in patients with liver cirrhosis and ascites.
  • Early identification of high-risk SBP patients is critical for improving prognosis and survival rates.
  • The Model for End-Stage Liver Disease (MELD) score is a widely used objective measure for predicting short-term survival in liver disease.

Purpose of the Study:

  • To evaluate the predictive value of the MELD score upon admission for short-term mortality in patients diagnosed with SBP.
  • To assess the combined predictive capability of the MELD score and patient age.

Main Methods:

  • A retrospective study analyzed 73 SBP episodes between January 2002 and April 2006.
  • Diagnostic criteria included ascitic fluid neutrophil count ≥250/mm³; cefotaxime treatment was initiated promptly.
  • Statistical analyses included t-tests, chi-squared tests, univariate analysis, logistic regression, and ROC curves.

Main Results:

  • The in-hospital mortality rate for SBP patients was 37%.
  • Multivariate analysis identified MELD score (P<0.001) and advanced age (P<0.05) as independent predictors of mortality.
  • The MELD score demonstrated excellent discriminatory ability (AUC=0.84); adding age improved prediction (AUC=0.88).

Conclusions:

  • Both MELD score and older age independently predict mortality in SBP patients.
  • Advanced age enhances the MELD score's discriminatory power for predicting SBP-related death.
  • This combined model warrants further validation for stratifying SBP patients in clinical trials.

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