Barthel Index—Enhanced Feedback for Effective Cardiac Treatment (BI—EFFECT) Study: Contribution of the Barthel Index to the Heart Failure Risk Scoring System Model in Elderly Adults with Acute Heart Failure in the Emergency Department
Article first published online: 13 FEB 2012
© 2012, Copyright the Authors Journal compilation © 2012, The American Geriatrics Society
Journal of the American Geriatrics Society
Volume 60, Issue 3, pages 493–498, March 2012
How to Cite
Javier Martín-Sánchez, F., Gil, V., Llorens, P., Herrero, P., Jacob, J., Fernández, C., Miró, Ò. and for the Acute Heart Failure Working Group of the Spanish Society of Emergency Medicine Investigation Group (2012), Barthel Index—Enhanced Feedback for Effective Cardiac Treatment (BI—EFFECT) Study: Contribution of the Barthel Index to the Heart Failure Risk Scoring System Model in Elderly Adults with Acute Heart Failure in the Emergency Department. Journal of the American Geriatrics Society, 60: 493–498. doi: 10.1111/j.1532-5415.2011.03845.x
- Issue published online: 12 MAR 2012
- Article first published online: 13 FEB 2012
- acute heart failure;
- Barthel Index;
- EAHFE study
To evaluate whether the Enhanced Feedback for Effective Cardiac Treatment (EFFECT) scale for 30-day prediction of mortality is applicable to elderly adults with acute heart failure (AHF) in emergency departments (EDs) and whether discriminatory power is added with the inclusion of the Barthel Index (BI) to this scale (BI-EFFECT scale).
BI-EFFECT is a multipurpose, nonintervention, multicenter cohort study.
Individuals aged 65 and older with AHF.
Information on baseline and episode characteristics and 30-day mortality was collected, and participants were categorized according to the EFFECT scale. Baseline degree of functional dependence was measured using the BI. Receiver operating characteristic (ROC) curves were made of the EFFECT and BI-EFFECT scales to predict mortality.
One thousand sixty-eight participants were included. Thirty-day mortality was 5.1% and was directly and independently associated with high and very high risk categories of the EFFECT scale and with severe dependence. These two variables remained significant after adjustment of the model for both (OR = 4.5, 95% CI = 1.8–11.1 and OR = 2.9, 95% CI = 1.6–5.4, respectively). The EFFECT and the BI-EFFECT scales had significant ROC curves (area under the ROC curve (AUC) = 0.69, 95% CI = from 0.62 to 0.76; and AUC = 0.75, 95% CI = 0.69–0.81, respectively), and the difference in discriminatory power between the second and the first was also statistically significant (P = .02).
The EFFECT scale may be applied in the elderly population, and inclusion of functional status according to the BI in the new BI-EFFECT scale significantly improves the model for the prediction of 30-day mortality.