Sleep quality and daytime sleepiness are not associated with cognition in heart failure

Walter, Fawn A; Ede, David; Hawkins, Misty A.W.; Dolansky, Mary A.; Gunstad, John; Moore, Shirley; Hughes, Joel W.

doi:10.1016/j.jpsychores.2018.08.003

Cited by 6 publications

(6 citation statements)

References 51 publications

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“…Specifically, cognitive function was associated with daytime sleepiness in adults and poor nighttime sleep quality in older adults. However, this study (75) did not indicate a correlation between daytime sleepiness and cognitive function in HF patients. In addition, sleeprelated breathing disorders may also affect cognitive function in HF patients.…”

Section: Effects Of Sleep Disorder On Cognitive Function In Patients ...contrasting

confidence: 88%

“…The reason is unclear, and may be related to the fact that adults are more sensitive to body input and sleep drive than the elderly. However, a different study ( 75 ) reached the opposite conclusion, possibly due to using self-reported measures of sleep quality and daytime dysfunction, and presenting no objective sleep measure, which may have affected the results.…”

Section: Discussionmentioning

confidence: 96%

“…The incidence rate of sleep disorders is high in patients with HF. In a cross-sectional study of 267 HF patients, 61.8% of participants exhibited poor sleep quality (Pittsburgh Sleep Quality Index ≥5) and 22.5% demonstrated excessive daytime sleepiness (Epworth Sleepiness Scale > 10) ( 75 ). Poor sleep quality, excessive daytime sleepiness, sleep-disordered breathing (SDB), and insomnia may aggravate cognitive dysfunction in this population.…”

Section: Discussionmentioning

confidence: 99%

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Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure

Jiang

Wang

et al. 2022

Front. Cardiovasc. Med.

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Background/AimsTo explore the imaging changes and related risk factors of heart failure (HF) patients with cognitive impairment (CI).MethodsA literature search was systematically carried out in PubMed, Web of Science, Embase, and Cochrane Library. In this systematic review, important relevant information was extracted according to the inclusion and exclusion criteria. The methodological quality was assessed by three scales according to the different study types.ResultsFinally, 66 studies were included, involving 33,579 patients. In the imaging changes, the severity of medial temporal lobe atrophy (MTA) and the decrease of gray Matter (GM) volume were closely related to the cognitive decline. The reduction of cerebral blood flow (CBF) may be correlated with CI. However, the change of white matter (WM) volume was possibly independent of CI in HF patients. Specific risk factors were analyzed, and the data indicated that the increased levels of B-type natriuretic peptide (BNP)/N-terminal pro-B-type natriuretic peptide (NT-proBNP), and the comorbidities of HF, including atrial fibrillation (AF), diabetes mellitus (DM) and anemia were definitely correlated with CI in patients with HF, respectively. Certain studies had also obtained independent correlation results. Body mass index (BMI), depression and sleep disorder exhibited a tendency to be associated with CI. Low ejection fraction (EF) value (<30%) was inclined to be associated with the decline in cognitive function. However, no significant differences were noted between heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) in cognitive scores.ConclusionBNP/NT-proBNP and the comorbidities of HF including AF, DM and anemia were inextricably correlated with CI in patients with HF, respectively. These parameters were independent factors. The severity of MTA, GM volume, BMI index, depression, sleep disorder, and low EF value (<30%) have a disposition to associated with CI. The reduction in the CBF volume may be related to CI, whereas the WM volume may not be associated with CI in HF patients. The present systematic review provides an important basis for the prevention and treatment of CI following HF.

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Section: Effects Of Sleep Disorder On Cognitive Function In Patients ...contrasting

confidence: 88%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

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Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure

Jiang

Wang

et al. 2022

Front. Cardiovasc. Med.

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“…Approximately 85.8% of the patients reported poor sleep quality by themselves. The score and proportion were both significantly higher than that reported by previous studies (Jorge-Samitier et al, 2020;Lee et al, 2016;Walter et al, 2018). A majority of our participants were older adults with worse NYHA class than those in those studies.…”

Section: Discussioncontrasting

confidence: 71%

Association between fear of progression and sleep quality in patients with chronic heart failure: A cross‐sectional study

Xiong

Qin

Gong

2023

Journal of Advanced Nursing

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Aims This study aimed to measure sleep quality and its possible association with fear of progression (FOP) in patients with chronic heart failure (HF). Design A cross‐sectional study. Methods A total of 254 patients with chronic HF were recruited from two tertiary hospitals in China. The sociodemographic and clinical data of participants were collected using a general information questionnaire. The Pittsburgh Sleep Quality Index and Fear of Progression Questionnaire‐Short Form were used to evaluate sleep quality over 1 month and FOP. Pearson correlation and hierarchical regression were conducted to analyse the relationship between sleep quality and FOP. Results Of all participants, 85.8% had poor sleep quality, with a mean score of 12.3 ± 4.2 (possible score could be 0 to 21). The severity of FOP was positively correlated with poor sleep quality. HF hospitalization in the past year, numbers of HF drugs, monthly income and total score of FOP were strong predictors of decreased sleep quality, accounting for 24.2% of the variance in the sleep quality of these patients. Conclusions Patients with chronic HF generally reported poor sleep quality, which should be highly concerned for medical workers. Alleviating FOP as a therapeutic strategy may improve sleep quality. Impact It is urgent to raise clinical attention that Chinese patients with chronic HF have poor sleep quality, which is not just due to the symptoms of HF itself. FOP is an important psychological factor influencing sleep quality in patients with chronic HF, which has not been explored in China. This study provides a new perspective on targeted interventions for poor sleep quality in chronic HF. Patient and public involvement No patient or public involvement.

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“…11 However, other reports had suggested no close relationships between sleep quality and cognitive function. 12 The results of a longitudinal cohort study showed that sleep disorders were not related to declines in memory, executive function, or overall cognitive ability, suggesting that the presence of sleep disorders did not significantly increase the risk of diagnosis in either normal subjects or MCI subjects. 13 Additionally, numerous observational studies had examined the connection between sleep disorders and cognitive function, but the findings were inconsistent.…”

Section: Introductionmentioning

confidence: 97%

Causal relationship between sleep traits and cognitive impairment: A Mendelian randomization study

Wang,

Xu,

Liu

et al. 2023

J Evidence Based Medicine

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ObjectiveObservational studies had demonstrated a link between sleep disturbances and cognitive decline. Here, we aimed to investigate the causal association between genetically predicted sleep traits and cognitive impairment using Mendelian randomization (MR).MethodsUsing strict criteria, we selected genetic variants from European ancestry Genome‐wide association studies (GWAS) from the Sleep Disorders Knowledge Portal and UK Biobank as instrumental variables for several sleep traits, including insomnia, sleep duration, daytime sleepiness, daytime napping, and chronotype. Summary statistics related to cognitive impairment were derived from five different GWAS, including the Social Science Genetic Association Consortium. The role of self‐reported sleep trait phenotypes in the etiology of cognitive impairment was explored using inverse‐variance weighted (IVW) tests, MR‐Egger tests, and weighted medians, and sensitivity analyses were conducted to ensure robustness.ResultsIn the main IVW analysis, sleep duration (reaction time: β = –0.05, 95% CI –0.07 to –0.04, p = 1.93×10−12), daytime sleepiness (average cortical thickness: β = –0.12, 95% CI –0.22 to –0.02, p = 0.023), and daytime napping (fluid intelligence: β = –0.47, 95% CI –0.87 to –0.07, p = 0.021; hippocampal volume in Alzheimer's disease: β = –0.99, 95% CI –1.64 to –0.35, p = 0.002) were significantly negatively correlated with cognitive performance. However, any effects of insomnia and chronotype on cognitive impairment were not determined.ConclusionsOur findings highlighted that focusing on sleep behaviors or distinct sleep patterns‐particularly sleep duration, daytime sleepiness, and daytime napping, was a promising approach for preventing cognitive impairment. This study also shed light on risk factors for and potential early markers of cognitive impairment risk factors.

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Sleep quality and daytime sleepiness are not associated with cognition in heart failure

Cited by 6 publications

References 51 publications

Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure

Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure

Association between fear of progression and sleep quality in patients with chronic heart failure: A cross‐sectional study

Causal relationship between sleep traits and cognitive impairment: A Mendelian randomization study

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