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Cardiology Research and Practice
Volume 2012, Article ID 631075, 9 pages
http://dx.doi.org/10.1155/2012/631075
Clinical Study

Patterns of Change in Cognitive Function over Six Months in Adults with Chronic Heart Failure

1School of Nursing, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, USA
2School of Nursing Portland Campus, 3455 SW US Veterans Hospital Road, SN-6N, Portland, OR 97239, USA
3Glaser Consulting, San Diego, CA, USA
4University of the Sciences in Philadelphia, Behavioral and Social Sciences, 217 Kline Hall, 600 S. 43rd St, Philadelphia, PA 19104, USA

Received 26 February 2012; Accepted 14 June 2012

Academic Editor: Susan J. Pressler

Copyright © 2012 Barbara Riegel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Few investigators have studied cognition over time in adults with heart failure (HF). A battery of neuropsychological tests was administered to 279 adults with chronic systolic or diastolic HF at baseline, three and six months. Growth mixture modeling (GMM) was used to model the measure anticipated to be most sensitive, the digit symbol substitution task (DSST). We describe how and why the DSST patterns change over time. Other measures of cognition were examined to identify consistency with the DSST patterns. The sample was predominantly male (63.2%), Caucasian (62.7%), mean age 62 years. The best fit GMM revealed two trajectories of DSST scores: Average processing speed group (40.5%) and Below Average processing speed (59.9%). Neither group changed significantly over the six month study. Other measures of cognition were consistent with the DSST patterns. Factors significantly associated with increased odds of being in the Below Average processing speed group included older age, male gender, Non-Caucasian race, less education, higher ejection fraction, high comorbid burden, excessive daytime sleepiness, and higher BMI. As some of the factors related to cognitive impairment are modifiable, research is needed to identify interventions to preserve and improve cognition in these patients.