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J. Am. Coll. Cardiol. · Nov 2008
Changing preferences for survival after hospitalization with advanced heart failure.
- Lynne W Stevenson, Anne S Hellkamp, Carl V Leier, George Sopko, Todd Koelling, J Wayne Warnica, William T Abraham, Edward K Kasper, Joseph G Rogers, Robert M Califf, Elizabeth E Schramm, and Christopher M O'Connor.
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA. LStevenson@partners.org
- J. Am. Coll. Cardiol. 2008 Nov 18; 52 (21): 1702-8.
ObjectivesThis study was designed to analyze how patient preferences for survival versus quality-of-life change after hospitalization with advanced heart failure (HF).BackgroundAlthough patient-centered care is a priority, little is known about preferences to trade length of life for quality among hospitalized patients with advanced HF, and it is not known how those preferences change after hospitalization.MethodsThe time trade-off utility, symptom scores, and 6-min walk distance were measured in 287 patients in the ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheter Effectiveness) trial at hospitalization and again during 6 months after therapy to relieve congestion.ResultsWillingness to trade was bimodal. At baseline, the median trade for better quality was 3 months' survival time, with a modest relation to symptom severity. Preference for survival time was stable for most patients, but increase after discharge occurred in 98 of 145 (68%) patients initially willing to trade survival time, and was more common with symptom improvement and after therapy guided by pulmonary artery catheters (p = 0.034). Adjusting days alive after hospital discharge for patients' survival preference reduced overall days by 24%, with the largest reduction among patients dying early after discharge (p = 0.0015).ConclusionsPreferences remain in favor of survival for many patients despite advanced HF symptoms, but increase further after hospitalization. The bimodal distribution and the stability of patient preference limit utility as a trial end point, but support its relevance in design of care for an individual patient.
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