[Prognosis in meningococcal disease: methodology and practice].

Area of Science:

• Critical Care Medicine
• Infectious Diseases
• Medical Statistics

Background:

• Systemic meningococcal disease (SMD) is a severe infection with a high mortality rate.
• Accurate prediction of lethal outcomes in intensive care unit (ICU) patients is crucial for timely management.
• Existing prognostic scores may not be optimal for all patient populations.

Purpose of the Study:

• To develop and validate a composite prognostic score for estimating the risk of lethal outcome in patients with SMD.
• To identify key clinical and laboratory factors predictive of mortality in SMD patients admitted to the ICU.
• To compare the performance of the newly developed score with existing prognostic scores.

Main Methods:

• A stepwise variable selection procedure using multiple logistic regression was applied to 30 potential risk factors in 78 ICU patients with SMD.
• Five factors were selected: platelet count, presence of hemorrhages, interval from last urination, respiration rate, and age.
• The developed score was validated on an additional group of 64 patients and compared against ten previously proposed prognostic scores.

Main Results:

• The developed prognostic score correctly classified 95% of cases in both the source and validation groups.
• The score incorporates platelet count, hemorrhages, urination interval, respiration rate, and age as significant predictors.
• The new score outperformed four selected established prognostic scores (GMSPS, Gedde-Dahl, Niklasson, Kahn), which achieved 85-90% accuracy.

Conclusions:

• A novel composite prognostic score demonstrates high accuracy in predicting mortality in systemic meningococcal disease patients.
• The identified risk factors provide valuable insights for clinical assessment and risk stratification.
• This study highlights effective methodological approaches for constructing medical prognostic scores.