Related Experiment Videos
[Prognosis in meningococcal disease: methodology and practice]
Abstract:
78 patients with systemic meningococcal disease admitted to the Intensive Care Unit of the 2nd Moscow Hospital for Infectious Diseases were studied and the composite prognostic score was developed to estimate the risk of lethal outcome. The stepwise variable selection procedure for the multiple logistic regression was applied to 30 potential clinical and laboratory risk factors and markers. Five factors were selected for the score, namely the platelet count (< 150 x 10(6)/ml), the presence of hemorrhages into the eye or mucosal tissue, the interval from the last urination before admission (> 4 h), the respiration rate (> 170% of age-adjusted normal value) and age (< 2 or > 65 years) with regression coefficients 0.3, 0.2, 0.2 and 0.1, respectively. Both for the source clinical group and for the additional test group (64 patients), the scale was able to classify correctly 95% of cases using the data collected at admission. Ten prognostic scores proposed previously by foreign investigators were tested in the same patients and the best four scores were selected (GMSPS, Gedde-Dahl, Niklasson, Kahn); the scores classified correctly 85-90% of cases. This study is an example of methodological approaches to prognostic score construction in medicine.
Insights
A new prognostic score for systemic meningococcal disease accurately predicts lethal outcomes in intensive care unit patients. This score identifies critical risk factors for early intervention and improved patient survival.
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.