Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page. A comment on this article appears in " Customized probability models for severe sepsis: correction and clarification.
Europe PMC requires Javascript to function effectively. Recent Activity. Affiliations 1. No matching affiliation detected. Find all citations in this journal default. Or filter your current search. JAMA [01 Feb , 8 ]. Logistic regression models developed for patients with severe sepsis in a database of adult medical and surgical intensive care units in 12 countries. Of 11, patients in the intensive care unit for at least 24 hours, had severe sepsis based on criteria of the American College of Chest Physicians and the Society of Critical Care Medicine systemic inflammatory response syndrome in response to infection, plus hypotension, hypoperfusion, or multiple organ dysfunction.
In patients with severe sepsis, mortality was higher The models are independent of each other; either can be used alone to estimate the probability of mortality of patients with severe sepsis.
Customization provides a simple technique to apply existing models to a subgroup of patients. Accurately assessing the probability of hospital mortality is a useful adjunct for clinical trials.
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