Penny Riley

Memory dysfunction, psychomotor slowing, and decreased executive function predict mortality in patients with heart failure and low ejection fraction

BACKGROUND The purpose of this study was to evaluate whether dysfunction of specific cognitive abilities is a predictor of impending mortality in adults with systolic heart failure (HF). METHODS A total of 166 stable outpatients with HF completed cognitive function evaluation in language, working memory, memory, visuospatial ability, psychomotor speed, and executive function using a neuropsychological test battery. Demographic and clinical variables, comorbidity, depressive symptoms, and health-related quality of life were also measured. Patients were followed for 12 months to determine all-cause mortality. RESULTS There were 145 survivors and 21 deaths. In logistic regression analyses, significant predictors of mortality were lower left ventricular ejection fraction (LVEF) and poorer scores on measures of global congnitive function Mini-Mental State Examination [MMSE], working memory, memory, psychomotor speed, and executive function. Memory loss was the most predictive cognitive function variable (overall chi(2) = 17.97, df = 2, P < .001; Nagelkerke R(2) = 0.20). Gender was a significant covariate in 2 models, with men more likely to die. Age, comorbidity, depressive symptoms, and health-related quality of life were not significant predictors. In further analyses, significant predictors of mortality were lower systolic blood pressure and poorer global cognitive function, working memory, memory, psychomotor speed, and executive function, with memory being the most predictive. CONCLUSIONS As hypothesized, lower LVEF and memory dysfunction predicted mortality. Poorer global cognitive score as determined by the MMSE, working memory, psychomotor speed, and executive function were also significant predictors. LVEF or systolic blood pressure had similar predictive values. Interventions are urgently needed to prevent and manage memory loss in HF.

Cognitive dysfunction and self-care decision making in chronic heart failure: A review of the literature

Background: Memory and executive function may be associated with poorer self-care management behaviors (indicators of self-care decision making). Dysfunction of self-care decision making processes often results in worsening of heart failure symptoms that necessitates hospitalization for acute management. Aims: The purposes of this literature review are to (a) synthesize the published literature (2000–2012) examining the relationship between cognitive dysfunction (CD) (executive function and memory) and self-care management decisions in heart failure (HF) patients; (b) identify gaps in knowledge; and (c) provide recommendations for future research to fill this gap. Methods: Literature from January 2000–September 2012 was reviewed to determine the relationship between cognitive dysfunction and self-care decision making in patients with HF. Studies were included that used measures to examine the relationship between cognitive dysfunction and self-care decision making in patients with HF. Results: The ability to identify a significant relationship between CD and self-care decision making processes was limited by the paucity of studies, small sample sizes, use of convenience samples and the use of single center recruitment sites. Conclusion: Despite the importance of memory and executive function in decision making, there is a paucity of studies describing the relationship between CD and self-care decision making processes. A knowledge gap exists regarding the relationship between CD and self-care decision making processes. The influence of executive function and memory on self-care decision making abilities needs further study in diverse populations, using standardized and valid measures for CD and self-care decision making processes.

APOE ε4 and Memory Among Patients With Heart Failure

Twenty-three percent to 50% of heart failure (HF) patients have memory loss. Objectives were to (a) characterize major allelic frequency of 2 variants in apolipoprotein (APOE) gene in HF patients, (b) evaluate differences in memory and serum brain-derived neurotrophic factor (BDNF) levels based on APOE ε4 allele(s), and (c) estimate effect sizes (ESs) and confidence intervals (CIs). In this pilot, 29 HF patients were enrolled and 26 completed. Recall and delayed recall memory were measured at baseline and 12 weeks. Serum was collected at baseline and 8 weeks. Seven (24.1%) patients had APOE ε4 allele. No significant differences were found in recall and delayed recall memory or serum BDNF levels based on APOE ε4 allele. ESs were small to medium; CIs indicated ES precision was small. Future studies are needed to fully understand how genotypic and neuropsychological phenotypic variables influence response to computerized cognitive training.