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Updated: Oct 2, 2026

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
Published on: February 23, 2014
[Prognostic factors of Pneumocystis carinii pneumonia in AIDS]
Objectives:
Identify prognosis factors in Pneumocystis carinii pneumonia at diagnosis and construct a model to predict mortality according to these prognosis factors.
Methods:
Seventy-seven consecutive cases of proven AIDS-related Pneumocystis carinii pneumonia (67 men, 10 women, mean age 37.2 years) were reviewed to determine the most accurate initial prognostic factors and estimate an individual prediction of death. A stepwise logistic regression analysis was performed. Three kinds of data were entered into the logistic model: historical data, clinical and laboratory data obtained within the first 24 hours of diagnosis, and specific data related to chest X-ray and bronchoalveolar lavage results.
Results:
The sum of arterial partial pressure of oxygen and carbon dioxide (PaO2 + PaCO2) and serum albumin level best predicted a fatal outcome in multivariate analysis.
Conclusion:
The logistic equation provided by the model might be used to accurately and quickly identify the patients with severe Pneumocystis carinii pneumonia who might benefit from supportive intensive care.
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