Objectives: Identify prognosis factors in Pneumocystis carinii pneumon
ia at diagnosis and construct a model to predict mortality according t
o 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 ini
tial prognostic factors and estimate an individual prediction of death
, A stepwise logistic regression analysis was performed, Three kinds o
f 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 re
sults. Results: The sum of arterial partial pressure of oxygen and car
bon dioxide (PaO2 + PaCO2) and serum albumin level best predicted a fa
tal outcome in multivariate analysis. Conclusion: The logistic equatio
n provided by the model might be used to accurately and quickly identi
fy the patients with severe Pneumocystis carinii pneumonia who might b
enefit from supportive intensive-care.