A prediction rule to identify low-risk patients with heart failure

• Published in: Academic emergency medicine Vol. 12; no. 6; pp. 514 - 521
• Main Authors: Auble, Thomas E, Hsieh, Margaret, Gardner, William, Cooper, Gregory F, Stone, Roslyn A, McCausland, Julie B, Yealy, Donald M
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.06.2005
• Subjects: Aged; Cohort Studies; Confidence Intervals; Decision Support Techniques; Emergency Medicine - instrumentation; Emergency Medicine - statistics & numerical data; Female; Heart Failure - diagnosis; Humans; Male; Outcome and Process Assessment (Health Care); Prognosis; Retrospective Studies; Risk Assessment - methods; Survival Analysis

To derive a prediction rule using data available in the emergency department (ED) to identify a group of patients hospitalized for the treatment of heart failure who are at low risk of death and serious complications. The authors analyzed data for all 33,533 patients with a primary hospital discharg...