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A multivariate approach to prognostication in experimental bacterial meningitis
Abstract:
Known concentrations of type III pneumococci were inoculated into eighty-one rabbits by cisternal puncture. Antibiotic therapy was started the following day. Aliquots of cerebrospinal fluid (CSF) and plasma were sampled on day one immediately before therapy was started and at regular intervals thereafter for up to eight days. Samples were analyzed for glucose, lactate, lactic dehydrogenase, and creatine kinase in various combinations. Leukocyte counts were performed on all CSF specimens. The timing of the specimens proved critical to the prognostic utility of the analyses performed. Day two plasma glucose was the most important single measurement for prognostication. Day one values for CSF glucose, lactate, and leukocyte count were also important. Substantial gains in prognostic accuracy were achieved when clinical laboratory measurements were used in combination by discriminant function analysis.
Insights
Early measurements of cerebrospinal fluid (CSF) and plasma biomarkers in pneumococcal meningitis rabbits can predict outcomes. Day two plasma glucose was the most critical predictor, improving prognosis accuracy.
Area of Science:
- Infectious Disease
- Neurology
- Clinical Chemistry
Background:
- Bacterial meningitis, particularly pneumococcal meningitis, poses significant health risks.
- Accurate prognostication is crucial for effective patient management and treatment strategies.
Purpose of the Study:
- To evaluate the prognostic utility of various cerebrospinal fluid (CSF) and plasma biomarkers in a rabbit model of type III pneumococcal meningitis.
- To determine the optimal timing for biomarker analysis to predict outcomes.
Main Methods:
- Eighty-one rabbits were inoculated with type III pneumococci and treated with antibiotics.
- CSF and plasma samples were collected at regular intervals (up to eight days) post-inoculation.
- Analyzed biomarkers included glucose, lactate, lactic dehydrogenase, creatine kinase, and leukocyte counts.
Main Results:
- The timing of sample collection was critical for prognostic accuracy.
- Day two plasma glucose emerged as the single most important predictor of outcome.
- Day one CSF glucose, lactate, and leukocyte counts also demonstrated significant prognostic value.
- Combining multiple clinical laboratory measurements using discriminant function analysis substantially improved prognostic accuracy.
Conclusions:
- Biomarker analysis in CSF and plasma, particularly early in the course of infection, can provide valuable prognostic information in pneumococcal meningitis.
- Plasma glucose levels on day two are a key indicator for predicting outcomes.
- Multivariate analysis of combined biomarkers enhances predictive capabilities for disease prognosis.