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(Ivanhoe Newswire) -- A new model may help doctors predict the long-term survival of critically ill patients.
The study, which was conducted in Australia, used data from patients admitted to the intensive care unit. It found seven commonly collected pieces of information gathered in the first five days of a critical illness could estimate the long-term survival rate of critically sick patients.
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The PREDICT model (Predicted Risk, Existing Diseases, and Intensive Care Therapy) uses criteria such as age, gender, severity of illness, intensity of intensive care therapy and co-morbidity to make a prediction. If two or more conditions occur together experts are able to predict a patients survival up to 15 years after the onset of a critical illness.
The model suggests that age and co-morbidity of a seriously ill patients have a much more profound effect on the long-term survival than the severity of the illness itself, the authors reported.
SOURCE: PLoS One, published online September 16, 2008
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