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P OSTER<br />

A BSTRACTS<br />

B47<br />

The Impact of Cognitive Impairment on Mortality in Older Adults<br />

with Heart Failure.<br />

T. Gure, 1 C. Blaum, 1,3 J. Ha, 1 S. Hummel, 4 L. Min, 1,3 C. Cigolle, 6,3<br />

A. Galecki, 1 K. Langa. 2,5 1. Geriatric & Palliative Medicine, University<br />

of Michigan, Ann Arbor, MI; 2. General Internal Medicine, University<br />

of Michigan, Ann Arbor, MI; 3. GRECC, VA Healthcare System, Ann<br />

Arbor, MI; 4. Cardiovascular Medicine, University of Michigan, Ann<br />

Arbor, MI; 5. VA Center for Practice Management & Outcomes<br />

Research, VA Healthcare System, Ann Arbor, MI; 6. Family Medicine,<br />

University of Michigan, Ann Arbor, MI.<br />

Supported By: The National Institute on Aging (NIA) provides<br />

funding for the Health and Retirement Study (U01 AG09740)<br />

which is performed at the Institute for Social Research, University<br />

of Michigan; NIA grants R01 AG027010 and R01 AG030155<br />

(Langa); Ann Arbor VA Geriatric Research, Clinical and Education<br />

Center (Blaum, Cigolle, and Min); NHLBI grant K23 HL109176<br />

(Hummel); AHRQ grants R21 HS017621 and R21 HS 019459<br />

(Min); NIA grant K08 AG031837 (Cigolle); NIA Diversity<br />

Supplement award R01 AG027010-02S1 (Gure); John A. Hartford<br />

Foundation Center of Excellence (Cigolle, Gure, and Min); the NIA<br />

Claude D. Pepper Center Research Career Development Core<br />

(Cigolle, Gure, and Min); National Center for Research Resources<br />

UL1 RR024986 (Gure).<br />

Background: Cognitive impairment (CI) is highly prevalent in<br />

older adults with heart failure (HF), yet our understanding of the impact<br />

of CI on mortality in this population is limited. We aimed to estimate<br />

the risk of death over 4 yrs of follow-up in older adults with<br />

HF, stratified by cognitive function. Methods: We used the 2004 wave<br />

of the Health and Retirement Study (HRS) linked to Medicare<br />

claims. A HF case-finding algorithm identified HRS respondents<br />

with highest likelihood of a HF diagnosis (“HF patients”). CI was assessed<br />

using previously published HRS population-based screening<br />

measures. Death was identified using the HRS data verified by National<br />

Death Index. We tested the relationship between cognitive<br />

function and mortality in HF patients using unweighted Kaplan-<br />

Meier survival curves and Cox proportional hazard models. Results:<br />

Of 707 HF patients identified, 286 (42%) died over the 4 yr-period.<br />

Survival of older HF patients was significantly influenced by their<br />

cognitive status (p

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