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Shu C, Zheng C, Du X, Luo D. Exploring the role of vitamin D in cognitive function: mediation by depression with diabetes modulation in older U.S. adults, a NHANES weighted analysis. Front Nutr 2024; 11:1356071. [PMID: 38895660 PMCID: PMC11183290 DOI: 10.3389/fnut.2024.1356071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Background The relationship between vitamin D levels, depressive symptoms, and cognitive function has yet to be definitively understood in the elderly, particularly when considering the impact of chronic diseases. This study focuses on how depression mediates the impact of 25-hydroxyvitamin D3 (25(OH)D3) on cognitive performance in older U.S. adults. Methods We analyzed data from 2,745 elderly individuals extracted from the NHANES 2011-2014 cycles, applying weighted processing to account for the complex multi-stage sampling design characteristic of NHANES data. Utilizing weighted data for covariate and model selection, we conducted mediation analyses on both the overall population and subgroup data. Significant mediation pathways were validated using a stratified weighted bootstrap approach. For significant subgroup pathways, we explored interactive mechanisms through interactive mediation analysis. Results Mediation analyses, thoroughly accounting for the impact of chronic conditions, revealed significant pathways in both the weighted overall population and the weighted diabetes subgroup. After 1,000 stratified weighted bootstrap replications, the proportion of mediation effects were 10.6% [0.040, 0.268] and 20.9% [0.075, 0.663], respectively. Interactive mediation analysis for diabetes indicated that the interaction between diabetes and depression was not significant in the direct pathway (estimates = 0.050, p = 0.113) but was significant in the mediation pathway, yielding the largest effect size compared to other covariates (estimates = 0.981, p < 0.001). Conclusion This study highlights the mediating role of depression in the relationship between vitamin D levels and cognitive function in the elderly, particularly emphasizing diabetes as a key moderator. Our findings suggest targeted interventions addressing both vitamin D sufficiency and depression could significantly benefit cognitive health, especially in diabetic individuals.
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Affiliation(s)
- Chang Shu
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Chenguang Zheng
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Tianjin University, Tianjin, China
| | - Xin Du
- Tianjin Huanhu Hospital, Tianjin, China
| | - Da Luo
- Tianjin Huanhu Hospital, Tianjin, China
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Chen TS, Mi NN, Lao HY, Wang CY, Lo WLA, Mao YR, Tang Y, Pei Z, Yuan JQ, Huang DF. Investigating the nexus of metabolic syndrome, serum uric acid, and dementia risk: a prospective cohort study. BMC Med 2024; 22:115. [PMID: 38481272 PMCID: PMC10938845 DOI: 10.1186/s12916-024-03302-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/13/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND The global dementia prevalence is surging, necessitating research into contributing factors. We aimed to investigate the association between metabolic syndrome (MetS), its components, serum uric acid (SUA) levels, and dementia risk. METHODS Our prospective study comprised 466,788 participants without pre-existing MetS from the UK Biobank. We confirmed dementia diagnoses based on the ICD-10 criteria (F00-03). To evaluate the dementia risk concerning MetS, its components, and SUA levels, we applied Cox proportional hazards models, while adjusting for demographic factors. RESULTS Over a median follow-up of 12.7 years, we identified 6845 dementia cases. Individuals with MetS had a 25% higher risk of all-cause dementia (hazard ratio [HR] = 1.25, 95% confidence interval [CI] = 1.19-1.31). The risk increased with the number of MetS components including central obesity, dyslipidemia for high-density lipoprotein (HDL) cholesterol, hypertension, hyperglycemia, and dyslipidemia for triglycerides. Particularly for those with all five components (HR = 1.76, 95% CI = 1.51-2.04). Dyslipidemia for HDL cholesterol, hypertension, hyperglycemia, and dyslipidemia for triglycerides were independently associated with elevated dementia risk (p < 0.01). MetS was further linked to an increased risk of all-cause dementia (11%) and vascular dementia (VD, 50%) among individuals with SUA levels exceeding 400 μmol/L (all-cause dementia: HR = 1.11, 95% CI = 1.02-1.21; VD: HR = 1.50, 95% CI = 1.28-1.77). CONCLUSIONS Our study provides robust evidence supporting the association between MetS, its components, and dementia risk. These findings emphasize the importance of considering MetS and SUA levels in assessing dementia risk, offering valuable insights for prevention and management strategies.
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Affiliation(s)
- Tara Sr Chen
- Department of Rehabilitation Medicine, Guangdong Engineering and Technology Research Centre for Rehabilitation Medicine and Translation, The Seventh Affiliated Hospital, Sun Yat-Sen University, WHO Collaborating Centre for Rehabilitation CHN-50, Shenzhen, Guangdong, China
| | - Ning-Ning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
| | - Hubert Yuenhei Lao
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, WHO Collaborating Centre for Eye Care and Vision CHN-151, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Chen-Yu Wang
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yu-Rong Mao
- Department of Rehabilitation Medicine, Guangdong Engineering and Technology Research Centre for Rehabilitation Medicine and Translation, The Seventh Affiliated Hospital, Sun Yat-Sen University, WHO Collaborating Centre for Rehabilitation CHN-50, Shenzhen, Guangdong, China
| | - Yan Tang
- Department of Rehabilitation Medicine, Guangdong Engineering and Technology Research Centre for Rehabilitation Medicine and Translation, The Seventh Affiliated Hospital, Sun Yat-Sen University, WHO Collaborating Centre for Rehabilitation CHN-50, Shenzhen, Guangdong, China
| | - Zhong Pei
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510080, China.
| | - Jin-Qiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Centre, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China.
| | - Dong-Feng Huang
- Department of Rehabilitation Medicine, Guangdong Engineering and Technology Research Centre for Rehabilitation Medicine and Translation, The Seventh Affiliated Hospital, Sun Yat-Sen University, WHO Collaborating Centre for Rehabilitation CHN-50, Shenzhen, Guangdong, China.
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Alagiakrishnan K, Mah D, Aronow WS, Lam PH, Frishman WH, Ahmed A, Deedwania P. Considerations Regarding Management of Heart Failure in Older Adults. Cardiol Rev 2024:00045415-990000000-00223. [PMID: 38421170 DOI: 10.1097/crd.0000000000000677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Understanding noncardiovascular comorbidities and geriatric syndromes in elderly patients with heart failure (HF) is important as the average age of the population increases. Healthcare professionals need to consider these complex dynamics when managing older adults with HF, especially those older than 80. A number of small studies have described associations between HF and major geriatric domains. With information on patients' cognitive, functional decline, and ability to adhere to therapy, physicians can plan for individualized treatment goals and recommendations for these patients.
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Affiliation(s)
| | - Darren Mah
- Department of Radiology, University of Alberta, Edmonton, Alberta, Canada
| | - Wilbert S Aronow
- Departments of Cardiology and Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
| | - Phillip H Lam
- Department of Medicine, Georgetown University, MedStar Washington Hospital Center, Washington, DC
| | | | - Ali Ahmed
- Center for Data Science and Outcomes Research, Veterans Affairs Medical Center, George Washington University, Georgetown University, Washington, DC; and
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Imahori Y, Vetrano DL, Ljungman P, Laukka EJ, Wu J, Grande G, Rizzuto D, Fratiglioni L, Qiu C. Association of ischemic heart disease with long-term risk of cognitive decline and dementia: A cohort study. Alzheimers Dement 2023; 19:5541-5549. [PMID: 37249150 DOI: 10.1002/alz.13114] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/30/2023] [Accepted: 04/03/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION The independent and joint effect of ischemic heart disease (IHD) and coexisting atrial fibrillation (AF) and heart failure (HF) on dementia risk is largely unknown. METHODS This population-based cohort study included 2568 dementia-free participants (age ≥60 years) in SNAC-K, who were regularly examined from 2001-2004 through 2013-2016. Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) criteria. Global cognitive function was assessed using a global cognitive composite z-score derived from five cognitive domains. Data were analyzed using Cox, Fine-Gray, and linear mixed-effects models. RESULTS Overall, IHD at baseline was associated with multivariable-adjusted hazard ratio (HR) of 1.39 (95% confidence interval = 1.06-1.82) for dementia and multivariable-adjusted β-coefficient of -0.02 (-0.03 to -0.01) for annual changes in global cognitive z-score, independent of AF, HF, and cerebrovascular disease. Coexisting AF or HF did not add further risk to dementia and cognitive decline. DISCUSSION IHD is independently associated with dementia and cognitive decline in older adults, whereas coexisting AF/HF is not associated with an increased risk. HIGHLIGHTS Is a history of ischemic heart disease (IHD) associated with a risk for dementia? How do coexisting heart diseases affect this association? IHD was an independent risk factor for dementia in older adults. This association was independent of coexisting heart and cerebrovascular diseases. The coexistence of heart diseases did not confer additional risk for dementia.
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Affiliation(s)
- Yume Imahori
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Davide L Vetrano
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Jing Wu
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Giulia Grande
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Laura Fratiglioni
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Chengxuan Qiu
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Solna, Sweden
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Geer JH, Jeon S, O'Connell M, Linsky S, Conley S, Hollenbeak CS, Jacoby D, Yaggi HK, Redeker NS. Correlates of cognition among people with chronic heart failure and insomnia. Sleep Breath 2023; 27:1287-1296. [PMID: 36214945 PMCID: PMC10084469 DOI: 10.1007/s11325-022-02716-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 08/09/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE This study aimed to describe cognitive characteristics and their associations with demographic and clinical factors among adults with chronic heart failure (HF) and insomnia. METHODS We performed a cross-sectional analysis of baseline data from the HeartSleep Study (NCT#02,660,385), a randomized controlled trial designed to evaluate the effects of cognitive-behavioral therapy for insomnia. Demographic characteristics and health history were obtained. We measured sleep characteristics with the Insomnia Severity Index, the PROMIS Sleep Disturbance Questionnaire, and wrist actigraphy. Sleepiness, stress, and quality of life were measured with validated questionnaires. Measures of cognition included frequency of lapses on the psychomotor vigilance test and the PROMIS cognitive abilities scale where ≥ 3 lapses and a score of ≤ 50, respectively, suggested impairment. These variables were combined into a composite score for multivariable analyses. RESULTS Of a sample that included 187 participants (58% male; mean age 63.1 [SD = 12.7]), 77% had New York Heart Association class I or II HF and 66% had HF with preserved ejection fraction. Common comorbidities were diabetes (35%), hypertension (64%), and sleep apnea (54%). Impaired vigilant attention was associated with non-White race, higher body mass index, less education, and more medical comorbidities. Self-reported cognitive impairment was associated with younger age, higher body mass index, and pulmonary disease. On adjusted analysis, significant risk factors for cognitive impairment included hypertension (OR 1.94), daytime sleepiness (OR 1.09), stress (OR 1.08), and quality of life (OR 0.12). CONCLUSIONS Impaired cognition is common among people with chronic HF and insomnia and associated with hypertension, daytime sleepiness, stress, and poor quality of life. TRIAL REGISTRATION ClinicalTrials.gov Identifier: Insomnia Self-management in Heart Failure; NCT#02,660,385.
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Affiliation(s)
- Jacqueline H Geer
- Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Sangchoon Jeon
- Yale School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA
| | - Meghan O'Connell
- Schools of Nursing and Medicine, University of Connecticut, 231 Glenbrook Road, Unit 4026, Storrs Mansfield, CT, 06269, USA
| | - Sarah Linsky
- Yale School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA
| | | | | | - Daniel Jacoby
- Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - H Klar Yaggi
- Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Nancy S Redeker
- Yale School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA.
- Schools of Nursing and Medicine, University of Connecticut, 231 Glenbrook Road, Unit 4026, Storrs Mansfield, CT, 06269, USA.
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Redeker NS, Conley S, O’Connell M, Geer JH, Yaggi H, Jeon S. Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia. J Clin Sleep Med 2023; 19:1073-1081. [PMID: 36740924 PMCID: PMC10235706 DOI: 10.5664/jcsm.10498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/26/2023] [Accepted: 01/26/2023] [Indexed: 02/07/2023]
Abstract
STUDY OBJECTIVES Cognitive impairment and insomnia are common in chronic heart failure (HF). We examined the effects of cognitive behavioral therapy for insomnia (CBT-I) and the extent to which demographic, clinical, symptom, and functional characteristics predicted cognition among people with chronic HF and insomnia who participated in a randomized controlled trial of CBT-I. METHODS Participants with HF were randomized to group-based CBT-I or an attention control (HF self-management education). Outcomes were measured over 1 year. We measured psychomotor vigilance and self-reported cognitive ability (PROMIS Cognitive Abilities Scale), clinical and demographic characteristics, history of sleep apnea, fatigue, pain, insomnia (Insomnia Severity Index), sleepiness (Epworth Sleepiness Scale), Six Minute Walk, EuroQoL Quality of Life, and wrist actigraphy (sleep characteristics and rest-activity rhythms). We used cosinor analysis to compute rest-activity rhythms and general linear models and general estimating equations to test the effects of predictors over 1 year. RESULTS The sample included 175 participants (mean age = 63 SD = 12.9 Years; 43% women). There was a statistically significant group-time effect on self-reported cognitive function and increases in the proportion of participants, with < 3 psychomotor vigilance lapses in the CBT-I group. Controlling for group-time effects and baseline cognition, decreased sleepiness, improved rest-activity rhythms, and 6-minute walk distance predicted a composite measure of cognition (psychomotor vigilance lapses and self-reported cognition). CONCLUSIONS CBT-I may improve cognition in adults with chronic HF. A future fully powered randomized controlled trial is needed to confirm the extent to which CBT-I improves multiple dimensions of cognition. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Name: Cognitive Behavioral Therapy for Insomnia: A Self-Management Strategy for Chronic Illness in Heart Failure; URL: https://clinicaltrials.gov/ct2/show/NCT02660385; Identifier: NCT02660385. CITATION Redeker NS, Conley S, O'Connell M, Geer JH, Yaggi H, Jeon S. Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2023;19(6):1073-1081.
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Affiliation(s)
- Nancy S. Redeker
- University of Connecticut Schools of Nursing and Medicine, Storrs Mansfield, Connecticut
| | | | - Meghan O’Connell
- University of Connecticut School of Nursing, Storrs Mansfield, Connecticut
| | | | - Henry Yaggi
- Yale School of Medicine, New Haven, Connecticut
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Wang M, Xu B, Hou X, Shi Q, Zhao H, Gui Q, Wu G, Dong X, Xu Q, Shen M, Cheng Q, Feng H. Altered brain networks and connections in chronic heart failure patients complicated with cognitive impairment. Front Aging Neurosci 2023; 15:1153496. [PMID: 37122379 PMCID: PMC10140296 DOI: 10.3389/fnagi.2023.1153496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Objective Accumulating evidence shows that cognitive impairment (CI) in chronic heart failure (CHF) patients is related to brain network dysfunction. This study investigated brain network structure and rich-club organization in chronic heart failure patients with cognitive impairment based on graph analysis of diffusion tensor imaging data. Methods The brain structure networks of 30 CHF patients without CI and 30 CHF patients with CI were constructed. Using graph theory analysis and rich-club analysis, changes in global and local characteristics of the subjects' brain network and rich-club organization were quantitatively calculated, and the correlation with cognitive function was analyzed. Results Compared to the CHF patients in the group without CI group, the CHF patients in the group with CI group had lower global efficiency, local efficiency, clustering coefficient, the small-world attribute, and increased shortest path length. The CHF patients with CI group showed lower nodal degree centrality in the fusiform gyrus on the right (FFG.R) and nodal efficiency in the orbital superior frontal gyrus on the left (ORB sup. L), the orbital inferior frontal gyrus on the left (ORB inf. L), and the posterior cingulate gyrus on the right (PCG.R) compared with CHF patients without CI group. The CHF patients with CI group showed a smaller fiber number of edges in specific regions. In CHF patients with CI, global efficiency, local efficiency and the connected edge of the orbital superior frontal gyrus on the right (ORB sup. R) to the orbital middle frontal gyrus on the right (ORB mid. R) were positively correlated with Visuospatial/Executive function. The connected edge of the orbital superior frontal gyrus on the right to the orbital inferior frontal gyrus on the right (ORB inf. R) is positively correlated to attention/calculation. Compared with the CHF patients without CI group, the connection strength of feeder connection and local connection in CHF patients with CI group was significantly reduced, although the strength of rich-club connection in CHF patients complicated with CI group was decreased compared with the control, there was no statistical difference. In addition, the rich-club connection strength was related to the orientation (direction force) of the Montreal cognitive assessment (MoCA) scale, and the feeder and local connection strength was related to Visuospatial/Executive function of MoCA scale in the CHF patients with CI. Conclusion Chronic heart failure patients with CI exhibited lower global and local brain network properties, reduced white matter fiber connectivity, as well as a decreased strength in local and feeder connections in key brain regions. The disrupted brain network characteristics and connectivity was associated with cognitive impairment in CHF patients. Our findings suggest that impaired brain network properties and decreased connectivity, a feature of progressive disruption of brain networks, predict the development of cognitive impairment in patients with chronic heart failure.
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The Emerging Role of Combined Brain/Heart Magnetic Resonance Imaging for the Evaluation of Brain/Heart Interaction in Heart Failure. J Clin Med 2022; 11:jcm11144009. [PMID: 35887772 PMCID: PMC9322381 DOI: 10.3390/jcm11144009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/29/2022] [Accepted: 07/08/2022] [Indexed: 11/17/2022] Open
Abstract
Heart failure (HF) patients frequently develop brain deficits that lead to cognitive dysfunction (CD), which may ultimately also affect survival. There is an important interaction between brain and heart that becomes crucial for survival in patients with HF. Our aim was to review the brain/heart interactions in HF and discuss the emerging role of combined brain/heart magnetic resonance imaging (MRI) evaluation. A scoping review of published literature was conducted in the PubMed EMBASE (OVID), Web of Science, Scopus and PsycInfo databases. Keywords for searches included heart failure, brain lesion, brain, cognitive, cognitive dysfunction, magnetic resonance imaging cardiovascular magnetic resonance imaging electroencephalogram, positron emission tomography and echocardiography. CD testing, the most commonly used diagnostic approach, can identify neither subclinical cases nor the pathophysiologic background of CD. A combined brain/heart MRI has the capability of diagnosing brain/heart lesions at an early stage and potentially facilitates treatment. Additionally, valuable information about edema, fibrosis and cardiac remodeling, provided with the use of cardiovascular magnetic resonance, can improve HF risk stratification and treatment modification. However, availability, familiarity with this modality and cost should be taken under consideration before final conclusions can be drawn. Abnormal CD testing in HF patients is a strong motivating factor for applying a combined brain/heart MRI to identify early brain/heart lesions and modify risk stratification accordingly.
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Jiang Y, Wang L, Lu Z, Chen S, Teng Y, Li T, Li Y, Xie Y, Zhao M. Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure. Front Cardiovasc Med 2022; 8:838680. [PMID: 35155623 PMCID: PMC8826966 DOI: 10.3389/fcvm.2021.838680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 12/31/2021] [Indexed: 12/13/2022] Open
Abstract
Background/Aims To explore the imaging changes and related risk factors of heart failure (HF) patients with cognitive impairment (CI). Methods A 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. Results Finally, 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. Conclusion BNP/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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Affiliation(s)
- Yangyang Jiang
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Lei Wang
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Ziwen Lu
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Shiqi Chen
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Yu Teng
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Tong Li
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Yang Li
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Yingzhen Xie
- Department of Encephalopathy, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
| | - Mingjing Zhao
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
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Ventoulis I, Arfaras-Melainis A, Parissis J, Polyzogopoulou E. Cognitive Impairment in Acute Heart Failure: Narrative Review. J Cardiovasc Dev Dis 2021; 8:jcdd8120184. [PMID: 34940539 PMCID: PMC8703678 DOI: 10.3390/jcdd8120184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/11/2021] [Accepted: 12/12/2021] [Indexed: 12/03/2022] Open
Abstract
Cognitive impairment (CI) represents a common but often veiled comorbidity in patients with acute heart failure (AHF) that deserves more clinical attention. In the AHF setting, it manifests as varying degrees of deficits in one or more cognitive domains across a wide spectrum ranging from mild CI to severe global neurocognitive disorder. On the basis of the significant negative implications of CI on quality of life and its overwhelming association with poor outcomes, there is a compelling need for establishment of detailed consensus guidelines on cognitive screening methods to be systematically implemented in the population of patients with heart failure (HF). Since limited attention has been drawn exclusively on the field of CI in AHF thus far, the present narrative review aims to shed further light on the topic. The underlying pathophysiological mechanisms of CI in AHF remain poorly understood and seem to be multifactorial. Different pathophysiological pathways may come into play, depending on the clinical phenotype of AHF. There is some evidence that cognitive decline closely follows the perturbations incurred across the long-term disease trajectory of HF, both along the time course of stable chronic HF as well as during episodes of HF exacerbation. CI in AHF remains a rather under recognized scientific field that poses many challenges, since there are still many unresolved issues regarding cognitive changes in patients hospitalized with AHF that need to be thoroughly addressed.
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Affiliation(s)
- Ioannis Ventoulis
- Department of Occupational Therapy, University of Western Macedonia, 50200 Ptolemaida, Greece
- Correspondence: or (I.V.); (A.A.-M.); Tel.: +30-6973018788 (I.V.); +1-347-920-8875 (A.A.-M.)
| | - Angelos Arfaras-Melainis
- Heart Failure Unit and University Clinic of Emergency Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece; (J.P.); (E.P.)
- Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Correspondence: or (I.V.); (A.A.-M.); Tel.: +30-6973018788 (I.V.); +1-347-920-8875 (A.A.-M.)
| | - John Parissis
- Heart Failure Unit and University Clinic of Emergency Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece; (J.P.); (E.P.)
| | - Eftihia Polyzogopoulou
- Heart Failure Unit and University Clinic of Emergency Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece; (J.P.); (E.P.)
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11
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Shen K, McFadden A, McIntosh AR. Signal complexity indicators of health status in clinical EEG. Sci Rep 2021; 11:20192. [PMID: 34642403 PMCID: PMC8511087 DOI: 10.1038/s41598-021-99717-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022] Open
Abstract
Brain signal variability changes across the lifespan in both health and disease, likely reflecting changes in information processing capacity related to development, aging and neurological disorders. While signal complexity, and multiscale entropy (MSE) in particular, has been proposed as a biomarker for neurological disorders, most observations of altered signal complexity have come from studies comparing patients with few to no comorbidities against healthy controls. In this study, we examined whether MSE of brain signals was distinguishable across patient groups in a large and heterogeneous set of clinical-EEG data. Using a multivariate analysis, we found unique timescale-dependent differences in MSE across various neurological disorders. We also found MSE to differentiate individuals with non-brain comorbidities, suggesting that MSE is sensitive to brain signal changes brought about by metabolic and other non-brain disorders. Such changes were not detectable in the spectral power density of brain signals. Our findings suggest that brain signal complexity may offer complementary information to spectral power about an individual's health status and is a promising avenue for clinical biomarker development.
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Affiliation(s)
- Kelly Shen
- Rotman Research Institute, Baycrest Centre, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.
| | - Alison McFadden
- Rotman Research Institute, Baycrest Centre, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada
| | - Anthony R McIntosh
- Rotman Research Institute, Baycrest Centre, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada
- University of Toronto, Toronto, Canada
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12
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Mitsutake S, Ishizaki T, Tsuchiya‐Ito R, Furuta K, Hatakeyama A, Sugiyama M, Toba K, Ito H. Association of cognitive impairment severity with potentially avoidable readmissions: A retrospective cohort study of 8897 older patients. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12147. [PMID: 33816752 PMCID: PMC8012240 DOI: 10.1002/dad2.12147] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/11/2020] [Accepted: 12/02/2020] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Understanding the association between cognitive impairment severity and potentially avoidable readmissions (PARs) in older patients may facilitate the identification of at-risk individuals who would benefit from readmission prevention measures. METHODS This retrospective cohort study was conducted using claims data linked with routinely collected cognitive impairment assessment results from a general acute care hospital in Tokyo, Japan. Patients were 65 years or age or older who were discharged from the subject hospital to home or a facility between July 2016 and September 2018. RESULTS A multivariable logistic regression analysis adjusted for covariates showed that the odds of PARs within 90 days to the subject hospital for patients with moderate and severe cognitive impairment were 1.418 times (95% confidence interval: 1.005-2.002) and 2.212 times (95% confidence interval: 1.206-4.058) higher, respectively, that for patients with normal cognition. DISCUSSION Older inpatients with later-stage cognitive impairment may represent a suitable target population for transitional care programs aimed at reducing readmissions.
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Affiliation(s)
- Seigo Mitsutake
- Human Care Research TeamTokyo Metropolitan Institute of GerontologyTokyoJapan
| | - Tatsuro Ishizaki
- Human Care Research TeamTokyo Metropolitan Institute of GerontologyTokyoJapan
| | - Rumiko Tsuchiya‐Ito
- Human Care Research TeamTokyo Metropolitan Institute of GerontologyTokyoJapan
- Research DepartmentInstitute for Health Economics and PolicyTokyoJapan
| | - Ko Furuta
- Department of PsychiatryTokyo Metropolitan Geriatric HospitalTokyoJapan
| | - Akira Hatakeyama
- Dementia Support CenterTokyo Metropolitan Geriatric HospitalTokyoJapan
| | - Mika Sugiyama
- Research Team for Promoting Independence of the ElderlyTokyo Metropolitan Institute of GerontologyTokyoJapan
| | - Kenji Toba
- Tokyo Metropolitan Geriatric Hospital and Institute of GerontologyTokyoJapan
| | - Hideki Ito
- Tokyo Metropolitan Geriatric Hospital and Institute of GerontologyTokyoJapan
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13
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Anzai T, Sato T, Fukumoto Y, Izumi C, Kizawa Y, Koga M, Nishimura K, Ohishi M, Sakashita A, Sakata Y, Shiga T, Takeishi Y, Yasuda S, Yamamoto K, Abe T, Akaho R, Hamatani Y, Hosoda H, Ishimori N, Kato M, Kinugasa Y, Kubozono T, Nagai T, Oishi S, Okada K, Shibata T, Suzuki A, Suzuki T, Takagi M, Takada Y, Tsuruga K, Yoshihisa A, Yumino D, Fukuda K, Kihara Y, Saito Y, Sawa Y, Tsutsui H, Kimura T. JCS/JHFS 2021 Statement on Palliative Care in Cardiovascular Diseases. Circ J 2021; 85:695-757. [PMID: 33775980 DOI: 10.1253/circj.cj-20-1127] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Toshihisa Anzai
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Takuma Sato
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Yoshihiro Fukumoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | - Chisato Izumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | - Yoshiyuki Kizawa
- Department of Palliative Medicine, Kobe University Graduate School of Medicine
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
| | | | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Akihiro Sakashita
- Department of Palliative Medicine, Kobe University Graduate School of Medicine
| | - Yasushi Sakata
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Tsuyoshi Shiga
- Department of Clinical Pharmacology and Therapeutics, The Jikei University School of Medicine
| | | | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
| | - Kazuhiro Yamamoto
- Department of Cardiovascular Medicine and Endocrinology and Metabolism, Tottori University Hospital
| | - Takahiro Abe
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Rie Akaho
- Department of Psychiatry, Tokyo Women's Medical University
| | - Yasuhiro Hamatani
- Department of Cardiology, National Hospital Organization Kyoto Medical Center
| | - Hayato Hosoda
- Department of Cardiovascular Medicine, Chikamori Hospital
| | - Naoki Ishimori
- Department of Community Heart Failure Healthcare and Pharmacy, Hokkaido University Graduate School of Medicine
| | - Mika Kato
- Nursing Department, Hokkaido University Hospital
| | - Yoshiharu Kinugasa
- Department of Cardiovascular Medicine and Endocrinology and Metabolism, Tottori University Hospital
| | - Takuro Kubozono
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Toshiyuki Nagai
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Shogo Oishi
- Department of Cardiovascular Medicine, Hyogo Brain and Heart Center
| | - Katsuki Okada
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Tatsuhiro Shibata
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | - Atsushi Suzuki
- Department of Cardiology, Tokyo Women's Medical University
| | | | - Masahito Takagi
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
| | - Yasuko Takada
- Nursing Department, National Cerebral and Cardiovascular Center
| | | | - Akiomi Yoshihisa
- Department of Cardiovascular Medicine, Fukushima Medical University
| | | | - Keiichi Fukuda
- Department of Cardiology, Keio University School of Medicine
| | | | - Yoshihiko Saito
- Department of Cardiovascular Medicine, Nara Medical University
| | - Yoshiki Sawa
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine
| | - Hiroyuki Tsutsui
- Department of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine
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14
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Jin Y, Bratzke L, Baumann LC. Helping persons with multiple chronic conditions overcome barriers to self-management. Nurse Pract 2021; 46:20-28. [PMID: 33606456 DOI: 10.1097/01.npr.0000733676.28520.db] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT The prevalence of multiple chronic conditions is growing dramatically, which complicates day-to-day self-management for patients. This article describes the features of multiple chronic conditions, an updated chronic care model, barriers to self-management, and strategies NPs can use to reduce or eliminate barriers to self-management in adults with multiple chronic conditions.
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15
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Sangha GS, Goergen CJ, Prior SJ, Ranadive SM, Clyne AM. Preclinical techniques to investigate exercise training in vascular pathophysiology. Am J Physiol Heart Circ Physiol 2021; 320:H1566-H1600. [PMID: 33385323 PMCID: PMC8260379 DOI: 10.1152/ajpheart.00719.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Atherosclerosis is a dynamic process starting with endothelial dysfunction and inflammation and eventually leading to life-threatening arterial plaques. Exercise generally improves endothelial function in a dose-dependent manner by altering hemodynamics, specifically by increased arterial pressure, pulsatility, and shear stress. However, athletes who regularly participate in high-intensity training can develop arterial plaques, suggesting alternative mechanisms through which excessive exercise promotes vascular disease. Understanding the mechanisms that drive atherosclerosis in sedentary versus exercise states may lead to novel rehabilitative methods aimed at improving exercise compliance and physical activity. Preclinical tools, including in vitro cell assays, in vivo animal models, and in silico computational methods, broaden our capabilities to study the mechanisms through which exercise impacts atherogenesis, from molecular maladaptation to vascular remodeling. Here, we describe how preclinical research tools have and can be used to study exercise effects on atherosclerosis. We then propose how advanced bioengineering techniques can be used to address gaps in our current understanding of vascular pathophysiology, including integrating in vitro, in vivo, and in silico studies across multiple tissue systems and size scales. Improving our understanding of the antiatherogenic exercise effects will enable engaging, targeted, and individualized exercise recommendations to promote cardiovascular health rather than treating cardiovascular disease that results from a sedentary lifestyle.
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Affiliation(s)
- Gurneet S Sangha
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland
| | - Craig J Goergen
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.,Purdue University Center for Cancer Research, Purdue University, West Lafayette, Indiana
| | - Steven J Prior
- Department of Kinesiology, University of Maryland School of Public Health, College Park, Maryland.,Baltimore Veterans Affairs Geriatric Research, Education, and Clinical Center, Baltimore, Maryland
| | - Sushant M Ranadive
- Department of Kinesiology, University of Maryland School of Public Health, College Park, Maryland
| | - Alisa M Clyne
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland
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16
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Oud FMM, Spies PE, Braam RL, van Munster BC. Recognition of cognitive impairment and depressive symptoms in older patients with heart failure. Neth Heart J 2020; 29:377-382. [PMID: 33320302 PMCID: PMC8271051 DOI: 10.1007/s12471-020-01527-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2020] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Cognitive impairment and depression in patients with heart failure (HF) are common comorbidities and are associated with increased morbidity, readmissions and mortality. Timely recognition of cognitive impairment and depression is important for providing optimal care. The aim of our study was to determine if these disorders were recognised by clinicians and, secondly, if they were associated with hospital admissions and mortality within 6 months' follow-up. METHODS Patients (aged ≥65 years) diagnosed with HF were included from the cardiology outpatient clinic of Gelre Hospitals. Cognitive status was evaluated with the Montreal Cognitive Assessment test (score ≤22). Depressive symptoms were assessed with the Geriatric Depression Scale (score >5). Patient characteristics were collected from electronic patient files. The clinician was blinded to the tests and asked to assess cognitive status and mood. RESULTS We included 157 patients. Their median age was 79 years (65-92); 98 (62%) were male. The majority had New York Heart Association functional class II. Cognitive impairment was present in 56 (36%) patients. Depressive symptoms were present in 21 (13%) patients. In 27 of 56 patients (48%) cognitive impairment was not recognised by clinicians. Depressive symptoms were not recognised in 11 of 21 patients (52%). During 6 months' follow-up 24 (15%) patients were readmitted for HF-related reasons and 18 (11%) patients died. There was no difference in readmission and mortality rate between patients with or without cognitive impairment and patients with or without depressive symptoms. CONCLUSION Cognitive impairment and depressive symptoms were infrequently recognised during outpatient clinic visits.
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Affiliation(s)
- F M M Oud
- Department of Geriatrics, Gelre Hospitals, Apeldoorn & Zutphen, The Netherlands. .,Department of Internal Medicine, University Medical Centre Groningen, Groningen, The Netherlands.
| | - P E Spies
- Department of Geriatrics, Gelre Hospitals, Apeldoorn & Zutphen, The Netherlands
| | - R L Braam
- Department of Cardiology, Gelre Hospitals, Apeldoorn & Zutphen, The Netherlands
| | - B C van Munster
- Department of Geriatrics, Gelre Hospitals, Apeldoorn & Zutphen, The Netherlands.,Department of Internal Medicine, University Medical Centre Groningen, Groningen, The Netherlands
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17
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Stegmann T, Chu ML, Witte VA, Villringer A, Kumral D, Riedel-Heller SG, Roehr S, Hagendorff A, Laufs U, Loeffler M, Wachter R, Zeynalova S. Heart failure is independently associated with white matter lesions: insights from the population-based LIFE-Adult Study. ESC Heart Fail 2020; 8:697-704. [PMID: 33321550 PMCID: PMC7835595 DOI: 10.1002/ehf2.13166] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/10/2020] [Accepted: 11/23/2020] [Indexed: 12/16/2022] Open
Abstract
Aims White matter lesions (WML) are common structural alterations in the white matter of the brain and their prevalence increases with age. They are associated with cerebral ischaemia and cognitive dysfunction. Patients with heart failure (HF) are at risk for cognitive decline. We hypothesized that the presence and duration of HF are associated with WML. Methods and results The LIFE‐Adult Study is a population‐based study of 10 000 residents of Leipzig, Germany. WML were quantitated in 2490 participants who additionally underwent cerebral MRI using the Fazekas score. Mean age was 64 years, and 46% were female; 2156 (86.6%) subjects had Fazekas score of 0–1, and 334 (13.4%) had Fazekas score of 2–3. Thirty participants had a medical history of HF, 1019 had hypertension, and 51 had a history of stroke. Median left ventricular ejection fraction of the participants with HF was 57% (interquartile ranges 54–62). Age, troponin T, NT‐proBNP, body mass index, history of acute myocardial infarction, stroke, HF, and diabetes were positively associated with WML in univariate analysis. On multivariate analysis, age, hypertension, stroke, and HF were independently associated with WML. The odd's ratio for the association of WML (Fazekas 2–3) with HF was 2.8 (95% CI 1.2–6.5; P = 0.019). WML increased with longer duration of HF (P = 0.036 for trend). Conclusions In addition to age, hypertension, and stroke, the prevalence and duration of HF are independently associated with WML. This observation sets the stage to investigate the prognostic value of WML in HF and the impact of HF therapies on WML.
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Affiliation(s)
- Tina Stegmann
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - Mai L Chu
- University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig, Germany
| | - Veronica A Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Science, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Science, Leipzig, Germany
| | - Deniz Kumral
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Science, Leipzig, Germany
| | - Steffi G Riedel-Heller
- Public Health Research Unit and Department of Social Medicine, University of Leipzig, Leipzig, Germany
| | - Susanne Roehr
- Public Health Research Unit and Department of Social Medicine, University of Leipzig, Leipzig, Germany
| | - Andreas Hagendorff
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - Ulrich Laufs
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany
| | - Markus Loeffler
- University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig, Germany.,University of Leipzig, LIFE - Leipzig Research Centre for Civilization Diseases, Leipzig, Germany
| | - Rolf Wachter
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany.,Clinic for Cardiology and Pneumology, University Medicine Göttingen, Göttingen, Germany.,German Cardiovascular Research Center (DHZK), partner site Göttingen, Göttingen, Germany
| | - Samira Zeynalova
- Clinic and Policlinic for Cardiology, University Hospital Leipzig, Leipzig, Germany.,University of Leipzig, LIFE - Leipzig Research Centre for Civilization Diseases, Leipzig, Germany
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18
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Chimagomedova AS, Dzhioeva ZR, Akhilgova ZM, Kurkina MV, Avtandilov AG. [Cognitive impairment in heart failure: the role of microcirculation abnormalities]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:54-60. [PMID: 33205931 DOI: 10.17116/jnevro202012010254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Heart failure is one of the most frequent causes predisposing to cognitive impairment where its prevalence varies from 25 to 80% of cases. In this review, the mechanisms of microcirculatory abnormalities, which play a potential role in the development of cognitive impairment in patients with heart failure, are considered. Understanding of these mechanisms will help in the development of targeted therapy of cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- A Sh Chimagomedova
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Z R Dzhioeva
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Z M Akhilgova
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - M V Kurkina
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - A G Avtandilov
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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19
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Fino P, Sousa RM, Carvalho R, Sousa N, Almeida F, Pereira VH. Cognitive performance is associated with worse prognosis in patients with heart failure with reduced ejection fraction. ESC Heart Fail 2020; 7:3059-3066. [PMID: 32822110 PMCID: PMC7524225 DOI: 10.1002/ehf2.12932] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 07/13/2020] [Accepted: 07/19/2020] [Indexed: 11/08/2022] Open
Abstract
AIMS Heart failure (HF) is a complex clinical syndrome with multiple comorbidities. Cognitive impairment, stress, anxiety, depression, and lower quality of life are prevalent in HF. Herein, we explore the interplay between these parameters and study their value to predict major adverse cardiovascular events (MACEs) and health-related quality of life (HrQoL) in patients with HF with reduced ejection fraction using guideline recommended assessment tools. METHODS AND RESULTS We conducted a longitudinal study using a sample of 65 patients from two hospitals. A battery of tests was applied to assess cognition [Montreal Cognitive Assessment (MoCA)], stress (Perceived Stress Scale-10), anxiety, and depression (Hospital Anxiety and Depression Scale) at baseline. MACEs were registered using clinical records. HrQoL was estimated using the Kansas City Cardiomyopathy Questionnaire (KCCQ). A descriptive statistical analysis was conducted, and multiple linear and Cox regression models conducted to determine the predictive value of neurocognitive parameters and HrQoL in MACE. Both MoCA [hazard ratio = 0.906 (0.829-0.990); P = 0.029] and KCCQ scores were predictors of MACE, but not of overall mortality. Anxiety, depression, and stress scores did not predict MACE. However, anxiety (β = -0.326; P = 0.012) and depression levels (β = -0.309; P = 0.014) were independent predictors of the KCCQ score. CONCLUSIONS The MoCA score and HrQoL were predictors of MACE-free survival. Anxiety and depression were good predictors of HrQoL, but not of MACE-free survival.
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Affiliation(s)
- Patrícia Fino
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of MinhoBragaPortugal
- ICVS/3B's, PT Government Associate LaboratoryBraga/GuimarãesPortugal
- Clinical Academic CenterBragaPortugal
| | - Rita Matos Sousa
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of MinhoBragaPortugal
- ICVS/3B's, PT Government Associate LaboratoryBraga/GuimarãesPortugal
- Clinical Academic CenterBragaPortugal
| | - Renata Carvalho
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of MinhoBragaPortugal
- ICVS/3B's, PT Government Associate LaboratoryBraga/GuimarãesPortugal
- Clinical Academic CenterBragaPortugal
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of MinhoBragaPortugal
- ICVS/3B's, PT Government Associate LaboratoryBraga/GuimarãesPortugal
- Clinical Academic CenterBragaPortugal
| | - Filipa Almeida
- Cardiology DepartmentHospital Senhora da OliveiraGuimarãesPortugal
| | - Vítor Hugo Pereira
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of MinhoBragaPortugal
- ICVS/3B's, PT Government Associate LaboratoryBraga/GuimarãesPortugal
- Clinical Academic CenterBragaPortugal
- Hospital Santa Maria MaiorBarcelosPortugal
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20
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Distinct Factors Associated With Better Self-care in Heart Failure Patients With and Without Mild Cognitive Impairment. J Cardiovasc Nurs 2020; 34:440-447. [PMID: 31373955 DOI: 10.1097/jcn.0000000000000600] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND A decline in cognition may limit patients' ability to effectively engage in self-care in those with heart failure (HF). However, several studies have shown no difference in self-care between HF patients with and without cognitive impairment. This may indicate that there are more salient factors associated with self-care in HF patients with cognitive impairment compared with those without cognitive impairment. OBJECTIVE The aim of this study was to explore which factors are related to self-care based on the presence and absence of mild cognitive impairment (MCI) among patients with HF. METHODS Patients with HF were recruited from outpatient settings. The Montreal Cognitive Assessment was used to screen for MCI. Self-care was measured with the Self-care of HF Index v.6.2. Two separate stepwise linear regressions were performed to identify which factors (HF knowledge, perceived control, functional status, multimorbidity, executive function, and social support) predicted self-care in HF patients with and without MCI. RESULTS Of the 132 patients in this study, 36 (27.3%) had MCI. Self-care maintenance and management were associated with social support (β = 0.489) and executive function (β = 0.484), respectively, in patients with MCI. Perceived control was associated with both self-care maintenance and management in patients without MCI (βs = 0.404 and 0.262, respectively). CONCLUSION We found that social support and executive function were associated with self-care in HF patients with MCI, whereas perceived control was associated with self-care in HF patients with intact cognition. Clinicians should develop tailored interventions to enhance self-care by considering the distinct factors associated with self-care based on the presence or absence of MCI.
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21
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Kognitive Dysfunktion bei Herzinsuffizienz – Ursachen und Folgen. Internist (Berl) 2020; 61:929-938. [DOI: 10.1007/s00108-020-00835-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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22
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Viveiros J, Sethares KA, Westlake C. Executive dysfunction is associated with self-care confidence in patients with heart failure. Appl Nurs Res 2020; 54:151312. [PMID: 32650899 DOI: 10.1016/j.apnr.2020.151312] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 05/16/2020] [Accepted: 05/16/2020] [Indexed: 11/16/2022]
Abstract
AIM To explore differences in self-care maintenance, management and confidence levels between American heart failure (HF) patients with and without executive dysfunction. BACKGROUND Evidence indicates some aspect of cognitive impairment is prevalent in up to 75% of the HF patient population. Moreover, cognitive impairment has been identified as a barrier to adequate self-care contributing to poor outcomes. There is limited understanding of the role executive function, a domain of cognitive performance, has on self-care behaviors for patients with HF. METHOD This secondary analysis examined the role of executive function, measured by the Clock Drawing Test (CDT), in relation to self-care measures. The Self Care of Heart Failure Index v6.2 (SCHFI v6.2) was used to measure self-care maintenance, management, and confidence. RESULTS Participants had a mean age of 75.1 ± 12.5 years, identified as male (59.4%), with New York Heart Association (NYHA) class III (57.3%). Executive function impairment was present in 28% of the sample. Comparison of self-care maintenance and management scores between the two groups were not significant. However, participants with executive dysfunction demonstrated an average self-care confidence score of 48.6 ± 23.3, while participants with no executive function impairment demonstrated a higher average self-care confidence score of 61.5 ± 18.4. Differences in self-care confidence scores between the groups were statistically significant (p = .014). CONCLUSIONS HF self-care confidence is considered a moderator of self-care behaviors. Understanding the influence executive function has on self-care confidence may lead to a better understanding of those needing greater support with self-care behaviors.
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Affiliation(s)
- Jennifer Viveiros
- College of Nursing and Health Sciences, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747, USA.
| | - Kristen A Sethares
- College of Nursing and Health Sciences, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747, USA
| | - Cheryl Westlake
- Memorial Care Shared Services, 17360 Brookhurst Street, Fountain Valley, CA 92708, USA.
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23
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Duraes AR, Filho CRH, de Souza Lima Bitar Y, Neto MG. Heart Failure and Comorbidities—Part 1. CURRENT EMERGENCY AND HOSPITAL MEDICINE REPORTS 2020. [DOI: 10.1007/s40138-020-00210-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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24
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Backman WD, Levine SA, Wenger NK, Harold JG. Shared decision-making for older adults with cardiovascular disease. Clin Cardiol 2020; 43:196-204. [PMID: 31580493 PMCID: PMC7021653 DOI: 10.1002/clc.23267] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 08/30/2019] [Accepted: 09/06/2019] [Indexed: 12/12/2022] Open
Abstract
Shared decision-making is appropriate for clinical decisions involving multiple reasonable options, which occur frequently in the cardiovascular care of older adults. The process includes the communication of relevant factual information between the patient and the clinician, elicitation of patient preferences, and a mutual agreement on the best course of action to meet the patient's personal goals. For older adults, there are common challenges and considerations with regard to shared decision-making, some of which (eg, cognitive impairment) may be biologically linked to cardiovascular disease. There are tools designed to facilitate the shared decision-making process, known as decision aids, which are broadly effective although have shortcomings when applied to older adults. Novel approaches in clinical research and health systems changes will go some way toward improving shared decision-making for older adults, but the greatest scope for improvement may be within the grass roots areas of communication skills, interdisciplinary teamwork, and simply asking our patients what matters most.
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Affiliation(s)
- Warren D. Backman
- Veterans Affairs New England Geriatric Research Education and Clinical CenterBostonMassachusetts
- Section of GeriatricsBoston University and Boston Medical CenterBostonMassachusetts
| | - Sharon A. Levine
- Division of Palliative Care and Geriatric MedicineMassachusetts General HospitalBostonMassachusetts
| | - Nanette K. Wenger
- Division of CardiologyEmory University School of MedicineAtlantaGeorgia
- Emory Heart and Vascular CenterAtlantaGeorgia
- Emory Women's Heart CenterAtlantaGeorgia
| | - John Gordon Harold
- Cedars‐Sinai Smidt Heart Institute and UCLA David Geffen School of MedicineLos AngelesCalifornia
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25
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Tonning Olsson I, Brinkman TM, Wang M, Ehrhardt MJ, Banerjee P, Mulrooney DA, Huang IC, Ness KK, Bishop MW, Srivastava D, Robison LL, Hudson MM, Krull KR. Neurocognitive and psychosocial outcomes in adult survivors of childhood soft-tissue sarcoma: A report from the St. Jude Lifetime Cohort. Cancer 2020; 126:1576-1584. [PMID: 31913509 DOI: 10.1002/cncr.32694] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/14/2019] [Accepted: 12/05/2019] [Indexed: 01/22/2023]
Abstract
BACKGROUND To the authors' knowledge, few studies to date have examined long-term neurocognitive outcomes in survivors of childhood soft-tissue sarcoma. METHODS A total of 150 survivors (41% of whom were female with a mean current age of 33 years [SD, 8.9 years] and a time since diagnosis of 24 years [SD, 8.7 years]) and 349 community controls (56% of whom were female with a mean current age of 35 years [SD, 10.2 years]) completed comprehensive neuropsychological testing, echocardiography, electrocardiography, pulmonary function tests, endocrine evaluation, and physical examination. Patient-reported outcomes of health-related quality of life (HRQOL) and social attainment were collected. Survivors were compared with norms and controls on neurocognitive outcomes using general linear models, and on HRQOL and social attainment using modified Poisson models. The impacts of treatment and chronic health conditions on outcomes were examined using multivariable general linear models (effect size was expressed as unstandardized β estimates that reflected the unit of change from a mean of 0 and an SD of 1) and modified Poisson models (effect size expressed as relative risks). RESULTS Compared with controls and population norms, survivors demonstrated lower performance on measures of verbal reasoning (mean z score, -0.45 [SD, 1.15]; P < .001) mathematics (mean z score, -0.63 [SD, 1.07]; P < .001), and long-term memory (mean z score, -0.37 [SD, 1.14]; P < .001). Cumulative anthracycline exposure (per 100 mg/m2 ) was found to be associated with poorer verbal reasoning (β = -0.14 z scores; P = .04), reading (β = -0.09 z score; P = .04), and patient-reported vitality (relative risk, 1.32; 95% CI, 1.09-1.59). Neurologic and neurosensory chronic conditions were associated with poorer mathematics (neurologic conditions: β = -0.63 z score [P = 0.02]; and hearing impairment: β = -0.75 z scores [P < 0.01]). Better cognitive performance was associated with higher social attainment. CONCLUSIONS Long-term survivors of soft-tissue sarcoma are at risk of neurocognitive problems and poor HRQOL associated with anthracycline treatment and chronic health conditions.
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Affiliation(s)
- Ingrid Tonning Olsson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Tara M Brinkman
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Psychology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Mingjuan Wang
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Matthew J Ehrhardt
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Pia Banerjee
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Daniel A Mulrooney
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - I-Chan Huang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Kirsten K Ness
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Michael W Bishop
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Deokumar Srivastava
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Melissa M Hudson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Kevin R Krull
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Psychology, St. Jude Children's Research Hospital, Memphis, Tennessee
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26
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Correale M, Paolillo S, Mercurio V, Limongelli G, Barillà F, Ruocco G, Palazzuoli A, Scrutinio D, Lagioia R, Lombardi C, Lupi L, Magrì D, Masarone D, Pacileo G, Scicchitano P, Matteo Ciccone M, Parati G, Tocchetti CG, Nodari S. Comorbidities in chronic heart failure: An update from Italian Society of Cardiology (SIC) Working Group on Heart Failure. Eur J Intern Med 2020; 71:23-31. [PMID: 31708358 DOI: 10.1016/j.ejim.2019.10.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 07/27/2019] [Accepted: 10/05/2019] [Indexed: 12/25/2022]
Abstract
The increasing number of patients with heart failure HF and comorbidities is due to aging population and increase of life expectancy of patients with cardiovascular disease. Encouraging results derived by recent trials may suggest some comorbidities as new targets for new drugs, highlighting the need for a better understanding of the comorbidities' effects in HF patients and the need of a multidisciplinary approach for the management of chronic HF with comorbidities. We report a brief review about main cardiovascular and non-cardiovascular comorbidities in HF patients in order to update physicians and researchers engaged in the HF research or in "fight against heart failure."
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Affiliation(s)
| | - Stefania Paolillo
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Valentina Mercurio
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Giuseppe Limongelli
- Heart Failure Unit, AORN dei Colli, Monaldi Hospital, Naples, Italy; Department of Translational Medical Sciences, Luigi Vanvitelli University, Naples, Italy; Institute of Cardiovascular Sciences, University College of London, London, United Kingdom
| | - Francesco Barillà
- Department of Cardiovascular, Respiratory, Nephrologic, Anesthesiologic and Geriatric Sciences, Sapienza" University of Rome, Italy
| | - Gaetano Ruocco
- Cardiovascular Diseases Unit Department of Internal Medicine, University of Siena, Siena, Italy
| | - Alberto Palazzuoli
- Cardiovascular Diseases Unit Department of Internal Medicine, University of Siena, Siena, Italy
| | | | - Rocco Lagioia
- Cardiology Department, IRCCS "S. Maugeri" Cassano (BA), Bari, Italy
| | - Carolina Lombardi
- Istituto Auxologico Italiano, IRCCS, Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences. San Luca Hospital, Milan, Italy
| | - Laura Lupi
- Section of Cardiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Italy
| | - Damiano Magrì
- Department of Clinical and Molecular Medicine, University "La Sapienza", Rome, Italy
| | - Daniele Masarone
- Heart Failure Unit, AORN dei Colli, Monaldi Hospital, Naples, Italy
| | - Giuseppe Pacileo
- Heart Failure Unit, AORN dei Colli, Monaldi Hospital, Naples, Italy
| | - Pietro Scicchitano
- Section of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari "A. Moro", Bari, Italy
| | - Marco Matteo Ciccone
- Section of Cardiovascular Diseases, Department of Emergency and Organ Transplantation, University of Bari "A. Moro", Bari, Italy
| | - Gianfranco Parati
- Istituto Auxologico Italiano, IRCCS, Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences. San Luca Hospital, Milan, Italy
| | - Carlo G Tocchetti
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Savina Nodari
- Section of Cardiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Italy
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27
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Kwan RYC, Kwan CW, Bai X, Chi I. Cachexia and Cognitive Function in the Community-Dwelling Older Adults: Mediation Effects of Oral Health. J Nutr Health Aging 2020; 24:230-236. [PMID: 32003416 DOI: 10.1007/s12603-019-1303-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Cognitive impairment and poor oral health are common problems in older adults and are associated with malnutrition. However, it is unclear how they are related to cachexia in community-dwelling older adults. The aim of this study was to examine the relationships among cachexia, cognitive function, and oral health in community-dwelling older adults. METHODS This study is a secondary analysis of a data-set. Data were collected in the community setting on older adults who applied for government-funded long-term care services in Hong Kong in 2017. Subjects were community-dwelling and aged ≥60 years. The outcome variable was cachexia. The predictors were cognitive function and oral health. The covariates included demographics and comorbidities associated with cachexia or malnutrition. Path analysis was employed to examine the associations among cachexia, cognitive function, and oral health using the software SAS/STAT and Mplus. RESULTS This analysis included 12,940 subjects. The prevalence of cachexia was 1.3%. Cognitive function was also found to have a direct effect on the oral health indicators of chewing problems (OR=1.073, p<0.001), brushing teeth problems (OR=1.349, p<0.001), and swallowing problems (coeff.=0.177, p<0.001). Oral health indicators with a direct effect on cachexia included dry mouth (OR=1.250, p<0.001), brushing teeth problems (OR = 1.185, p<0.01), and swallowing problems (OR=1.231, p<0.001). Cognitive function had no significant direct effect, but had a significant indirect effect on cachexia (OR=1.100, p<0.001) which is mediated by brushing teeth problems (OR=1.052, p<0.001) and swallowing problems (OR=1.038, p<0.001). CONCLUSION Cognitive impairment causes cachexia indirectly through poor oral health. This study recommends adding cognitive function when screening community-dwelling older adults for cachexia. Health policymakers should stress regular oral health screening and interventions, and encourage increased utilization of oral health services by community-dwelling older adults with cognitive problems.
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Affiliation(s)
- R Y C Kwan
- Professor Iris Chi, 669 W. 34th Street, Los Angeles, CA 90089-0411, , Tel: 1-213-8211360
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28
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Abstract
Heart and brain disorders more frequently co-exist than by chance alone, due to having common risk factors and a degree of interaction. In the setting of heart failure (HF) in the elderly strokes, dementia, and depression are all common and can produce a particularly difficult series of clinical problems to manage. Loss of ability to self-care can lead to very poor quality of life and a dramatic increase in health care expenditure. The Heart Failure Association of the ESC as part of its workshop on physiological monitoring of the complex multi-morbid HF patient reviewed screening, monitoring, prevention, and management of cognitive decline within the setting of HF.
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Affiliation(s)
- Wolfram Doehner
- Department of Cardiology Campus Virchow, Berlin Institute of Health Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Föhrer Str. 15, 13353 Berlin, Germany.,Center for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
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29
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Borshchev YY, Uspensky YP, Galagudza MM. Pathogenetic pathways of cognitive dysfunction and dementia in metabolic syndrome. Life Sci 2019; 237:116932. [PMID: 31606384 DOI: 10.1016/j.lfs.2019.116932] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/27/2019] [Accepted: 10/02/2019] [Indexed: 12/13/2022]
Abstract
The prevalence of dementia worldwide is growing at an alarming rate. A number of studies and meta-analyses have provided evidence for increased risk of dementia in patients with metabolic syndrome (MS) as compared to persons without MS. However, there are some reports demonstrating a lack of association between MS and increased dementia risk. In this review, taking into account the potential role of individual MS components in the pathogenesis of MS-related cognitive dysfunction, we considered the underlying mechanisms in arterial hypertension, diabetes mellitus, dyslipidemia, and obesity. The pathogenesis of dementia in MS is multifactorial, involving both vascular injury and non-ischemic neuronal death due to neurodegeneration. Neurodegenerative and ischemic lesions do not simply coexist in the brain due to independent evolution, but rather exacerbate each other, leading to more severe consequences for cognition than would either pathology alone. In addition to universal mechanisms of cognitive dysfunction shared by all MS components, other pathogenetic pathways leading to cognitive deficits and dementia, which are specific for each component, also play a role. Examples of such component-specific pathogenetic pathways include central insulin resistance and hypoglycemia in diabetes, neuroinflammation and adipokine imbalance in obesity, as well as arteriolosclerosis and lipohyalinosis in arterial hypertension. A more detailed understanding of cognitive disorders based on the recognition of underlying molecular mechanisms will aid in the development of new methods for prevention and treatment of devastating cognitive problems in MS.
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Affiliation(s)
- Yury Yu Borshchev
- Institute of Experimental Medicine, Almazov National Medical Research Center, Saint Petersburg, Russian Federation
| | - Yury P Uspensky
- Department of Faculty Therapy, Saint Petersburg State Pediatric Medical University, Saint Petersburg, Russian Federation
| | - Michael M Galagudza
- Laboratory of Digital and Display Holography, ITMO University, Russian Federation, Saint Petersburg, Russian Federation.
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30
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Kamada H, Ota H, Nakamura M, Imai Y, Ishida S, Sun W, Sakatsume K, Yoshioka I, Saiki Y, Takase K. Perioperative Hemodynamic Changes in the Thoracic Aorta in Patients With Aortic Valve Stenosis: A Prospective Serial 4D-Flow MRI Study. Semin Thorac Cardiovasc Surg 2019; 32:25-34. [PMID: 31323320 DOI: 10.1053/j.semtcvs.2019.07.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 07/11/2019] [Indexed: 01/25/2023]
Abstract
This study investigated hemodynamic changes in the thoracic aorta and aortic arch branches before and after aortic valve replacement (AVR) by 4D-flow MRI in patients with aortic valve stenosis (AS). Thoracic 4D-flow MRI was performed in 10 AS patients before and after AVR (mean 27 ± 1.9 days). Fifteen aortic planes and 3 aortic arch branches planes were set to evaluate the mean volume flow rate in each plane during a cardiac cycle and the angle between the main flow direction in a specified plane and the axial direction of the aorta. We also focused on the distribution and magnitude of helicity density to evaluate the flow complexity. A significant increase in the volume flow rate after AVR was found in the ascending aorta (before 59.2 ± 8.7 mL/s vs after 77.3 ± 6.2 mL/s, P < 0.05) and the aortic arch branches (before 26.5 ± 2.8 mL/s vs after 35.8 ± 3.3 mL/s, P < 0.001). The flow angle significantly decreased in the ascending aorta (before 39.2 ± 2.7 degree vs after 25.2 ± 1.7°, P < 0.0001) and the arch aorta (before 19.3 ± 2.0 degree vs after 13.4 ± 0.9°, P < 0.001). The volume flow rate in the ascending aorta and the arch branches increased within 1 month after AVR, showing an increased blood supply to the upper body, including to the brain. The postoperative change was accompanied with an increased blood flow in the ascending aorta and a decreased flow complexity proximal to the arch branches.
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Affiliation(s)
- Hiroki Kamada
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan.
| | - Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | - Masanori Nakamura
- Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan
| | - Yohsuke Imai
- Graduate School of Engineering, Kobe University, Kobe, Japan
| | - Shunichi Ishida
- Graduate School of Engineering Science, Osaka University, Osaka, Japan
| | - Wenyu Sun
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | - Ko Sakatsume
- Division of Cardiovascular Surgery, Tohoku University Hospital, Sendai, Japan
| | - Ichiro Yoshioka
- Division of Cardiovascular Surgery, Tohoku University Hospital, Sendai, Japan
| | - Yoshikatsu Saiki
- Division of Cardiovascular Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
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31
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Hammond CA, Blades NJ, Chaudhry SI, Dodson JA, Longstreth WT, Heckbert SR, Psaty BM, Arnold AM, Dublin S, Sitlani CM, Gardin JM, Thielke SM, Nanna MG, Gottesman RF, Newman AB, Thacker EL. Long-Term Cognitive Decline After Newly Diagnosed Heart Failure: Longitudinal Analysis in the CHS (Cardiovascular Health Study). Circ Heart Fail 2019. [PMID: 29523517 DOI: 10.1161/circheartfailure.117.004476] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Heart failure (HF) is associated with cognitive impairment. However, we know little about the time course of cognitive change after HF diagnosis, the importance of comorbid atrial fibrillation, or the role of ejection fraction. We sought to determine the associations of incident HF with rates of cognitive decline and whether these differed by atrial fibrillation status or reduced versus preserved ejection fraction. METHODS AND RESULTS Participants were 4864 men and women aged ≥65 years without a history of HF and free of clinical stroke in the CHS (Cardiovascular Health Study)-a community-based prospective cohort study in the United States, with cognition assessed annually from 1989/1990 through 1998/1999. We identified 496 participants with incident HF by review of hospital discharge summaries and Medicare claims data, with adjudication according to standard criteria. Global cognitive ability was measured by the Modified Mini-Mental State Examination. In adjusted models, 5-year decline in model-predicted mean Modified Mini-Mental State Examination score was 10.2 points (95% confidence interval, 8.6-11.8) after incident HF diagnosed at 80 years of age, compared with a mean 5-year decline of 5.8 points (95% confidence interval, 5.3-6.2) from 80 to 85 years of age without HF. The association was stronger at older ages than at younger ages, did not vary significantly in the presence versus absence of atrial fibrillation (P=0.084), and did not vary significantly by reduced versus preserved ejection fraction (P=0.734). CONCLUSIONS Decline in global cognitive ability tends to be faster after HF diagnosis than without HF. Clinical and public health implications of this finding warrant further attention.
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Affiliation(s)
- Christa A Hammond
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Natalie J Blades
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Sarwat I Chaudhry
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - John A Dodson
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - W T Longstreth
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Susan R Heckbert
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Bruce M Psaty
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Alice M Arnold
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Sascha Dublin
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Colleen M Sitlani
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Julius M Gardin
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Stephen M Thielke
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Michael G Nanna
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Rebecca F Gottesman
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Anne B Newman
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA
| | - Evan L Thacker
- From the Department of Statistics (C.A.H., N.J.B.) and Department of Public Health (E.L.T.), Brigham Young University, Provo, UT; Department of Internal Medicine, Yale School of Medicine, New Haven, CT (S.I.C.); Department of Medicine (J.A.D.) and Department of Population Health (J.A.D.), New York University Langone Medical Center; Cardiovascular Health Research Unit (S.R.H., B.M.P., C.M.S.), Department of Neurology (W.T.L.), Department of Epidemiology (W.T.L., S.R.H., B.M.P., S.D.), Department of Medicine (B.M.P., C.M.S.), Department of Health Services (B.M.P.), Department of Biostatistics (A.M.A.), and Department of Psychiatry and Behavioral Sciences (S.M.T.), University of Washington, Seattle; Kaiser Permanente Washington Health Research Institute, Seattle (S.R.H., B.M.P., S.D.); Department of Medicine, Rutgers New Jersey Medical School, Newark (J.M.G.); Geriatric Research, Education, and Clinical Center, Seattle VA Medical Center, WA (S.M.T.); Department of Medicine, Duke University School of Medicine, Durham, NC (M.G.N.); Department of Neurology, Johns Hopkins University, Baltimore, MD (R.F.G.); and Department of Epidemiology (A.B.N.), Department of Medicine (A.B.N.), and Clinical and Translational Science Institute (A.B.N.), University of Pittsburgh, PA.
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Tonning Olsson I, Brinkman TM, Hyun G, Banerjee P, Mulrooney DA, Huang IC, Green DM, Srivastava D, Robison LL, Hudson MM, Krull KR. Neurocognitive outcomes in long-term survivors of Wilms tumor: a report from the St. Jude Lifetime Cohort. J Cancer Surviv 2019; 13:570-579. [PMID: 31243647 DOI: 10.1007/s11764-019-00776-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 06/12/2019] [Indexed: 01/09/2023]
Abstract
PURPOSE To examine prevalence and predictors of neurocognitive outcomes, social attainment, emotional distress, and health-related quality of life (HRQOL) in long-term survivors of pediatric Wilms tumor (WT). METHODS One hundred fifty-eight WT survivors (59% female; mean [SD] age 33 [9.1] years; time since diagnosis 29 [9.1] years) and 354 community controls (55.6% female; 35 [10.2] years) completed comprehensive neuropsychological testing and physical examination, including echocardiography/electrocardiography, pulmonary function tests, and endocrine evaluation. Self-report of emotional distress, HRQOL, and social attainment were collected. Impairment was defined in relation to both controls and normative data. Generalized linear models were developed to examine impact of treatment and chronic health conditions on outcomes. RESULTS WT survivors performed poorer than norms and controls in 6 of 16 cognitive variables and 1 of 8 HRQOL variables, with scores ranging from - 0.64 (mathematics) to - 0.21 (verbal fluency) standard deviations below expectations. Compared to controls, WT survivors were less likely to graduate college (odds ratio 2.23, 95% confidence interval 1.46-3.41) and had more moderate to severe neurologic conditions (18.4% vs 8.2%, p < 0.001), which were associated with poor memory (β = - 0.90, p < 0.001), attention (β = - 1.02, p < 0.001), and HRQOL general health (β = - 0.80, p = 0.0015). Treatment variables and cardiopulmonary morbidity (higher in survivors) were not associated with outcomes. CONCLUSIONS Survivors of WT demonstrate impairment in neurocognitive function and have lower social attainment during adulthood, with poorer neurocognitive function associated with neurologic morbidity. IMPLICATIONS FOR CANCER SURVIVORS Survivors of WT should be offered neurocognitive evaluations and rehabilitation. Neurologic conditions should be routinely assessed, and appropriate support offered to reduce risk for functional limitations.
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Affiliation(s)
- Ingrid Tonning Olsson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA
| | - Tara M Brinkman
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA.,Department of Psychology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Geehong Hyun
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA
| | - Pia Banerjee
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA
| | - Daniel A Mulrooney
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA.,Department of Oncology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - I-Chan Huang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA
| | - Daniel M Green
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA.,Department of Oncology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Deokumar Srivastava
- Department of Biostatistics, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA
| | - Melissa M Hudson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA.,Department of Oncology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA
| | - Kevin R Krull
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, MS 735, Memphis, TN, 38105-3678, USA. .,Department of Psychology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA.
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Ishihara K, Izawa KP, Kitamura M, Shimogai T, Kanejima Y, Morisawa T, Shimizu I. Influence of mild cognitive impairment on activities of daily living in patients with cardiovascular disease. Heart Vessels 2019; 34:1944-1951. [PMID: 31114960 DOI: 10.1007/s00380-019-01437-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/15/2019] [Indexed: 12/18/2022]
Abstract
Activities of daily living (ADL) are maintained in patients with mild cognitive impairment (MCI), but, in patients with cardiovascular disease, ADL may have already declined. MCI combined with cardiac disease may accentuate the decline of ADL in these patients. Because the relationship between MCI and ADL in patients with cardiovascular disease is unclear, we examined the associations between MCI and ADL in these patients. We conducted a cross-sectional study of 114 patients with cardiovascular disease but without probable dementia. MCI was estimated with the Japanese version of the Montreal Cognitive Assessment (MoCA-J). We classified patients into the normal cognitive group and MCI group, and compared their clinical characteristics, physical function [Short Physical Performance Battery (SPPB), gait speed, handgrip strength, and knee extensor muscle strength], and ADL [via the Functional Independence Measure (FIM)]. We used logistic regression analysis to evaluate the specific association between MCI and ADL. The incidence of MCI was 36.0%. Significant differences between the two groups were identified for age, body mass index, estimated glomerular filtration rate, albumin, dyslipidemia, educational background, SPPB, gait speed, handgrip strength, and FIM. However, after adjustment for covariates, only FIM was significantly associated with MCI (odds ratio 0.74, 95% confidence interval 0.65-0.84, p < 0.001). ADL was the only independent factor significantly associated with MCI in patients with cardiovascular disease. ADL may be hindered in these patients, even at an early stage of MCI. Therefore, early intervention is necessary to prevent ADL decline from the time of MCI onset or before.
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Affiliation(s)
- Kodai Ishihara
- Department of Rehabilitation, Sakakibara Heart Institute of Okayama, 5-1 Nakaicho 2-chome, Kita-ku, Okayama, 700-0804, Japan.,Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Cardiovascular Stroke Renal Project (CRP), 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan
| | - Kazuhiro P Izawa
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan. .,Cardiovascular Stroke Renal Project (CRP), 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.
| | - Masahiro Kitamura
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Cardiovascular Stroke Renal Project (CRP), 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Department of Physical Therapy, Kokura Rehabilitation College, 2-10 Kuzuharahigashi 2-chome, Kokuraminami-ku, Kitakyushu, 800-0206, Japan
| | - Takayuki Shimogai
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Cardiovascular Stroke Renal Project (CRP), 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Department of Rehabilitation, Kobe City General Hospital, 1-1 Minatojimaminamicho 2-chome, Chuo-ku, Kobe, 650-0047, Japan
| | - Yuji Kanejima
- Department of Public Health, Graduate School of Health Sciences, Kobe University, 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Cardiovascular Stroke Renal Project (CRP), 10-2 Tomogaoka 7-chome, Suma-ku, Kobe, 654-0142, Japan.,Department of Rehabilitation, Kobe City General Hospital, 1-1 Minatojimaminamicho 2-chome, Chuo-ku, Kobe, 650-0047, Japan
| | - Tomoyuki Morisawa
- Department of Physical Therapy, Faculty of Health Sciences, Juntendo University, 1-1 Hongo 2-chome, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Ikki Shimizu
- Department of Diabetes, Sakakibara Heart Institute of Okayama, 5-1 Nakaicho 2-chome, Kita-ku, Okayama, 700-0804, Japan
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Lee JK, Won MH, Son YJ. Combined Influence of Depression and Physical Frailty on Cognitive Impairment in Patients with Heart Failure. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 16:ijerph16010066. [PMID: 30591673 PMCID: PMC6338900 DOI: 10.3390/ijerph16010066] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 12/20/2018] [Accepted: 12/21/2018] [Indexed: 12/18/2022]
Abstract
Cognitive impairment is a prevalent condition and important barrier to self-care behaviors in patients with heart failure (HF). HF patients with depression or physical frailty are more likely to have reduced cognitive function. However, it remains unclear if combined depression and physical frailty increased the risk of cognitive impairments among HF populations. This study aimed to identify the influence of combined depression and physical frailty on cognitive impairments in HF. This cross-sectional study was included 289 patients with HF in outpatient cardiology clinics at a tertiary care university hospital in Cheonan, South Korea. We obtained patients’ characteristics including depression, physical frailty, and cognitive function with Korean validated tools using a face-to-face interview. The prevalence rate of cognitive impairment was approximately 27.3% in HF outpatients. We found that the combined influence of depression and physical frailty increased the risk of cognitive impairments in both unadjusted (odds ratio (OR) 4.360; 95% confidence interval (CI) (2.113, 8.994)) and adjusted models (OR 3.545; 95% CI (1.448, 8.681)). Our findings highlight that healthcare professionals need to be more aware of the vulnerable population who suffer from both depression and physical frailty at the same time. Future prospective studies should examine the causal relationships among depression, physical frailty and cognitive impairment during the HF illness trajectories.
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Affiliation(s)
- Jong Kyung Lee
- College of Nursing, Dankook University, Cheonan 31116, Korea.
| | - Mi Hwa Won
- Department of Nursing, Wonkwang University, Iksan 54538, Korea.
| | - Youn-Jung Son
- Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea.
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Abstract
BACKGROUND Cognitive impairment is highly prevalent in patients with heart failure (HF), negatively impacting self-care and consequently increasing mortality. Although computerized cognitive training (CCT) has been found to be efficacious in improving cognition in older adults, little is known about the efficacy of CCT in patients with HF. PURPOSE This brief systematic review examined the feasibility and efficacy of CCT on cognitive functioning in patients with HF. METHODS PubMed, Embase, and PsychINFO electronic databases were searched to identify randomized controlled trials (RCTs) of CCT in patients with HF published from January 1, 2000, to December 31, 2017. A narrative synthesis of intervention effectiveness on individual cognitive domains and functional outcomes was provided. Risk of bias of the studies was also rated. RESULTS The search yielded 4 RCTs describing 3 cognitive training interventions (n = 138). Preliminary evidence indicated that CCT may enhance the processing speed and working memory of patients with HF. Intervention effects also seemed to confer transferrable benefits to functional outcomes of daily living. The outcomes of the assembled studies were assessed using the Grades of Recommendation, Assessment, Development and Evaluation system, and the quality of the evidence was found to be of moderate to low quality. CONCLUSION Computerized cognitive trainings show promise in enhancing the cognition of patients with HF. The stability of the current findings would need to be tested in RCTs with larger sample sizes to validate the use of CCTs in targeting cognitive impairment and self-care abilities for patients with HF.
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TANAKA SHINYA, KAMIYA KENTARO, HAMAZAKI NOBUAKI, MATSUZAWA RYOTA, NOZAKI KOHEI, MAEKAWA EMI, NODA CHIHARU, YAMAOKA-TOJO MINAKO, MATSUNAGA ATSUHIKO, MASUDA TAKASHI, AKO JUNYA. Incremental Value of Objective Frailty Assessment to Predict Mortality in Elderly Patients Hospitalized for Heart Failure. J Card Fail 2018; 24:723-732. [DOI: 10.1016/j.cardfail.2018.06.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 06/16/2018] [Accepted: 06/28/2018] [Indexed: 01/09/2023]
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Rêgo MLDM, Cabral DAR, Fontes EB. Cognitive Deficit in Heart Failure and the Benefits of Aerobic Physical Activity. Arq Bras Cardiol 2018. [PMID: 29538528 PMCID: PMC5831307 DOI: 10.5935/abc.20180002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Heart Failure is a clinical syndrome prevalent throughout the world and a major contribution to mortality of cardiac patients in Brazil. In addition, this pathology is strongly related to cerebral dysfunction, with a high prevalence of cognitive impairment. Many mechanisms may be related to cognitive loss, such as cerebral hypoperfusion, atrophy and loss of gray matter of the brain, and dysfunction of the autonomic nervous system. The literature is clear regarding the benefits of aerobic physical activity in healthy populations in the modulation of the autonomic nervous system and in brain functions. Studies have shown that in the population of patients with heart failure, exercise is associated with an improvement in cognitive function, as well as in cardiac autonomic regulation. However, little emphasis has been given to the mechanisms by which aerobic physical activity can benefit brain functioning, the autonomic nervous system and result in better cognitive performance, particularly in patients with heart failure. Therefore, the present work presents the ways in which brain areas responsible for cognition also act in the modulation of the autonomic nervous system, and emphasizes its importance for the understanding of cognitive impairment in relation to the pathophysiology of heart failure. It is also described the way in which aerobic physical activity can promote benefits when it is integrated into the therapy, associated to a better prognosis of the clinical picture of these patients.
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Pauly MV, Hirschman KB, Hanlon AL, Huang L, Bowles KH, Bradway C, McCauley K, Naylor MD. Cost impact of the transitional care model for hospitalized cognitively impaired older adults. J Comp Eff Res 2018; 7:913-922. [PMID: 30203668 DOI: 10.2217/cer-2018-0040] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIM The goal of this study was to compare postacute care costs of three care management interventions. MATERIALS & METHODS A total of 202 hospitalized older adults with cognitive impairment received either Augmented Standard Care, Resource Nurse Care or the Transitional Care Model. The Lin method was used to estimate costs at 30 and 180 days postindex hospital discharge. RESULTS The Transitional Care Model had significantly lower costs than the Augmented Standard Care group at both 30 (p < 0.001) and 180 days (p = 0.03) and significantly lower costs than Resource Nurse Care at 30 days (p = 0.02). CONCLUSION These findings suggest that the Transitional Care Model can reduce both the amount of other postacute care and the total cost of care compared with alternative services for cognitively impaired older adults. Clinicaltrials.gov : NCT00294307.
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Affiliation(s)
- Mark V Pauly
- The Wharton School at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Karen B Hirschman
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Alexandra L Hanlon
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Liming Huang
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Kathryn H Bowles
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Christine Bradway
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Kathleen McCauley
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Mary D Naylor
- NewCourtland Center for Transitions & Health at the University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
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Alagiakrishnan K, Mah D, Gyenes G. Cardiac rehabilitation and its effects on cognition in patients with coronary artery disease and heart failure. Expert Rev Cardiovasc Ther 2018; 16:645-652. [PMID: 30092659 DOI: 10.1080/14779072.2018.1510318] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Cardiac rehabilitation program is an evidence-based intervention and established model of exercise delivery following myocardial infarction and heart failure. Although it forms an important part of recovery and helps to prevent future events and complications, there has been little focus on its potential cognitive benefits. Areas covered: Coronary artery disease and heart failure are common heart problems associated with significant morbidity and mortality, and cognitive decline is commonly seen in affected individuals. Cognitive impairment may influence patient self-management by reducing medication adherence, rendering patients unable to make lifestyle modifications and causing missed healthcare visits. Cognitive assessment in cardiac rehabilitation as an outcome measure has the potential to improve clinical, functional and behavioral domains as well as help to reduce gaps in the quality of care in these patients. Expert commentary: Limited evidence at present has shown that cardiac rehabilitation and exercise has potential in preventing cognitive decline. Cardiac prehabilitation, a rehabilitation-like program delivered before cardiac surgery, may also play a role in preventing postoperative cognitive dysfunction, but needs future research studies to support it.
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Affiliation(s)
| | - Darren Mah
- a Faculty of Medicine and Dentistry , University of Alberta , Edmonton , Canada
| | - Gabor Gyenes
- a Faculty of Medicine and Dentistry , University of Alberta , Edmonton , Canada
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Andersson L, Nordgren L. Heart Failure Patients' Perceptions of Received and Wanted Information: A Cross-Sectional Study. Clin Nurs Res 2018; 28:340-355. [PMID: 29986617 DOI: 10.1177/1054773818787196] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study aimed to investigate heart failure patients' perceptions of received and wanted information and to identify differences regarding received and wanted information in relation to sociodemographic variables. A cross-sectional descriptive design was used. Patients with heart failure ( n = 192) were recruited from six primary health care centers in Sweden. Data were collected by a postal questionnaire. A majority of the respondents had received information about the condition and the medication. Within primary health care, most respondents had been informed about medication. The respondents wanted more information about continued care and treatment, medication, and the condition. There were significant differences between sociodemographic groups concerning what information they wanted. Clinical nurses can support patients with heart failure by using evidence-based methods that strengthen the patients' self-efficacy and by individualized information that increases patients' knowledge and improves their self-care behaviors. Future studies are needed to identify informational needs of particular fragile groups of patients.
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Affiliation(s)
- Lena Andersson
- 1 Vårdcentralen Centrum Flen, Sweden.,2 Research and Development Centre, Sörmland County Council/Centre for Clinical Research Sörmland, Uppsala University, Sweden
| | - Lena Nordgren
- 2 Research and Development Centre, Sörmland County Council/Centre for Clinical Research Sörmland, Uppsala University, Sweden.,3 Department of Public Health and Caring Sciences, Uppsala University, Sweden
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Associations of Vitamin D Intake and Sleep Quality With Cognitive Dysfunction in Older Adults With Heart Failure. J Cardiovasc Nurs 2018; 33:392-399. [DOI: 10.1097/jcn.0000000000000469] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Venkatraman A, Callas P, McClure LA, Unverzagt F, Arora G, Howard V, Wadley VG, Cushman M, Arora P. Galectin-3 and incident cognitive impairment in REGARDS, a cohort of blacks and whites. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2018; 4:165-172. [PMID: 29756004 PMCID: PMC5944416 DOI: 10.1016/j.trci.2018.03.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Introduction The relationship between serum galectin-3 and incident cognitive impairment was analyzed in the Reasons for Geographic and Racial Differences in Stroke study. Methods Baseline galectin-3 was measured in 455 cases of incident cognitive impairment and 546 controls. Galectin-3 was divided into quartiles based on the weighted distribution in the control group, and the first quartile was the referent. Results There was an increasing odds of cognitive impairment across quartiles of galectin-3 (odds ratios, 1.00 [0.68–1.46], 1.45 [1.01–2.10], and 1.58 [1.10–2.27] relative to the quartile 1; P trend = .003) in an unadjusted model, which persisted after adjusting for age, sex, and race (P = .004). Adjustment for cardiovascular risk factors greatly attenuated this association (odds ratios, 0.97 [0.60–1.57], 1.52 [0.94–2.46], and 1.27 [0.76–2.12]; P = .15). The association differed by diabetes status (P interaction, .007). Among nondiabetics (293 cases, 411 controls), those with galectin-3 in the fourth compared with first quartile had an odds ratio of 1.6 (0.95–2.99; P trend, .02). In diabetics, the odds ratio was 0.23 (0.04–1.33). Discussion Serum galectin-3 was associated with increased risk of incident cognitive impairment in a large cohort study of blacks and whites but only in nondiabetics.
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Affiliation(s)
- Anand Venkatraman
- Department of Neurology, Massachusetts General Hospital/Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter Callas
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Fred Unverzagt
- Department of Psychiatry, Indiana University, Indianapolis, IA, USA
| | - Garima Arora
- Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Virginia Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Virginia G Wadley
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - Pankaj Arora
- Division of Cardiology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.,Section of Cardiology, Department of Medicine, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA
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Is the Clock Drawing Test useful in the screening assessment of aged patients with chronic heart failure? Adv Med Sci 2018; 63:199-204. [PMID: 29197261 DOI: 10.1016/j.advms.2017.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 06/21/2017] [Accepted: 11/21/2017] [Indexed: 11/20/2022]
Abstract
PURPOSE Cognitive impairment is one of the most common geriatric deficits in old patients with heart failure (HF), but there has been a lack of study on the utility of the Clock Drawing Test (CDT) when used with this group of patients. The aim of the study was to assess the usefulness of the CDT in the geriatric assessment of aged outpatients with chronic HF. PATIENTS AND METHODS A cross-sectional analysis of the results of the comprehensive geriatric assessment (CGA), including the CDT, of 92 aged outpatients with heart failure was conducted. RESULTS We found a high prevalence of five examined geriatric problems. The majority of the patients presented signs of cognitive deterioration of different patterns and severity on the Clock Drawing Test. All the CDT scoring systems correlated significantly with the Mini-Mental Test Examination results. CONCLUSIONS It seems reasonable to perform the routine CGA with the CDT examination in all aged heart failure patients.
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Moazzami K, Ostovaneh MR, Ambale Venkatesh B, Habibi M, Yoneyama K, Wu C, Liu K, Pimenta I, Fitzpatrick A, Shea S, McClelland RL, Heckbert S, Gottesman RF, Bluemke DA, Hughes TM, Lima JAC. Left Ventricular Hypertrophy and Remodeling and Risk of Cognitive Impairment and Dementia: MESA (Multi-Ethnic Study of Atherosclerosis). Hypertension 2018; 71:429-436. [PMID: 29378853 DOI: 10.1161/hypertensionaha.117.10289] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 09/18/2017] [Accepted: 12/19/2017] [Indexed: 12/20/2022]
Abstract
Limited information exists on the longitudinal association between the left ventricular (LV) structure and function and future cognitive impairment and dementia in a large population without clinically recognized cardiovascular disease at baseline. The aim of the present study was to investigate the association between cardiac structure and function and risk of dementia and cognitive impairment in the MESA (Multi-Ethnic Study of Atherosclerosis) cohort. Measures of LV structure and function were determined using magnetic resonance imaging at baseline in 4999 participants free of clinically diagnosed cardiovascular disease and dementia. Probable incident clinical dementia was ascertained from hospitalization discharge records. Cognitive function was evaluated using tests addressing global cognitive function, processing speed, and memory. Associations of measures of LV structure and function with the incidence of clinically diagnosed dementia and cognitive performance were evaluated using Cox proportional hazard regression models adjusted for demographics, cardiovascular risk factors, and cardiovascular events. During a median follow-up of 12 years, 130 probable incident dementia cases were documented. Higher LV mass index (hazard ratio, 1.01; 95% confidence interval, 1.00-1.02) and LV mass-to-volume ratio (hazard ratio, 2.37; 95% confidence interval, 1.25-4.43) were independently associated with incident dementia and impaired cognitive function. Measures of LV function were not associated with risk of dementia or cognitive impairment. In conclusion, in a multiethnic cohort of participants without clinically detected cardiovascular disease and dementia at baseline, LV hypertrophy and concentric remodeling were independently associated with incident dementia and cognitive impairment.
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Affiliation(s)
- Kasra Moazzami
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Mohammad Reza Ostovaneh
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Bharath Ambale Venkatesh
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Mohammadali Habibi
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Kihei Yoneyama
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Colin Wu
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Kiang Liu
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Isabel Pimenta
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Annette Fitzpatrick
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Steven Shea
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Robyn L McClelland
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Susan Heckbert
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Rebecca F Gottesman
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - David A Bluemke
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - Timothy M Hughes
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.)
| | - João A C Lima
- From the Department of Cardiology (K.M., M.R.O., B.A.V., M.H., K.Y., I.P., J.A.C.L.) and Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Department of Medicine, Rutgers New Jersey Medical School, State University of New Jersey, Newark (K.M.); Office of Biostatistics, National Heart, Lung, and Blood Institute, Bethesda, MD (C.W.); Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (K.L.); Department of Family Medicine, School of Medicine (A.F.), Department of Epidemiology, School of Medicine (A.F.), Department of Global Health, School of Public Health (A.F.), Department of Biostatistics (R.L.M.), and Department of Epidemiology (S.H.), University of Washington, Seattle; Department of Medicine, Columbia University College of Physicians and Surgeons, New York City, NY (S.S.); National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); and Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (T.M.H.).
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45
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Oliveira T, Starkweather A, Ramesh D, Fetta J, Kelly DL, Lyon DE, Sargent L. Putative mechanisms of cognitive decline with implications for clinical research and practice. Nurs Forum 2018; 53:10.1111/nuf.12247. [PMID: 29345733 PMCID: PMC6438756 DOI: 10.1111/nuf.12247] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Multiple intrinsic and extrinsic mechanisms contribute to vulnerability of cognitive decline and nurses play a significant role in assisting individuals and families to use strategies for healthy cognitive aging. The objective of this narrative review is to provide a synthesis of the intrinsic and extrinsic mechanisms of cognitive decline and conditions that are associated with cognitive decline. Well-established intrinsic mechanisms of cognitive decline include aging, apolipoprotein E (APOE) ε4 carrier status, SORL1 mutations, neuroinflammation, mitochondrial dysfunction, amyloid deposition, and demyelination. Extrinsic risk factors include obesity, diabetes, hypertension, elevated lipid panel, metabolic syndrome, depression, traumatic brain injury, substance use, heart failure, and stroke. The various definitions of cognitive decline as well as the intrinsic and extrinsic factors that impact cognition as humans age should be incorporated in future clinical research studies. Nurses may use this information to help patients make lifestyle choices regarding cognitive health.
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Affiliation(s)
- Tadeu Oliveira
- School of Nursing, University of Connecticut, Storrs, CT
| | | | - Divya Ramesh
- School of Nursing, University of Connecticut, Storrs, CT
| | - Joseph Fetta
- School of Nursing, University of Connecticut, Storrs, CT
| | | | - Debra E. Lyon
- College of Nursing, University of Florida, Gainesville, FL
| | - Lana Sargent
- School of Nursing, Virginia Commonwealth University, Richmond, VA
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Abstract
Heart failure (HF) is a complex disease with a growing incidence worldwide. HF is accompanied by a wide range of conditions which affect disease progression, functional performance and contribute to growing healthcare costs. The interactions between a failing myocardium and altered cerebral functions contribute to the symptoms experienced by patients with HF, affecting many comorbidities and causing a poor prognosis. This article provides a condensed version of the 2018 position paper from the Study Group on Heart and Brain Interaction of the Heart Failure Association. It addresses the reciprocal impact on HF of several pathological brain conditions, including acute and chronic low perfusion of the brain, and impairment of higher cortical and brain stem functions. Treatment-related interactions - medical, interventional and device-related - are also discussed.
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Affiliation(s)
- Nadja Scherbakov
- Centre for Stroke Research Berlin, Charité University Hospital Berlin, Germany.,German Centre for Heart and Cardiovascular Research (DZHK), Partner Site Berlin, Charité University Hospital Berlin, Germany
| | - Wolfram Doehner
- Centre for Stroke Research Berlin, Charité University Hospital Berlin, Germany.,German Centre for Heart and Cardiovascular Research (DZHK), Partner Site Berlin, Charité University Hospital Berlin, Germany.,Division of Cardiology and Metabolism, Department of Cardiology, Charité University Hospital Berlin, Germany
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47
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Doehner W, Ural D, Haeusler KG, Čelutkienė J, Bestetti R, Cavusoglu Y, Peña-Duque MA, Glavas D, Iacoviello M, Laufs U, Alvear RM, Mbakwem A, Piepoli MF, Rosen SD, Tsivgoulis G, Vitale C, Yilmaz MB, Anker SD, Filippatos G, Seferovic P, Coats AJS, Ruschitzka F. Heart and brain interaction in patients with heart failure: overview and proposal for a taxonomy. A position paper from the Study Group on Heart and Brain Interaction of the Heart Failure Association. Eur J Heart Fail 2017; 20:199-215. [PMID: 29280256 DOI: 10.1002/ejhf.1100] [Citation(s) in RCA: 120] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 10/23/2017] [Accepted: 11/08/2017] [Indexed: 12/16/2022] Open
Abstract
Heart failure (HF) is a complex clinical syndrome with multiple interactions between the failing myocardium and cerebral (dys-)functions. Bi-directional feedback interactions between the heart and the brain are inherent in the pathophysiology of HF: (i) the impaired cardiac function affects cerebral structure and functional capacity, and (ii) neuronal signals impact on the cardiovascular continuum. These interactions contribute to the symptomatic presentation of HF patients and affect many co-morbidities of HF. Moreover, neuro-cardiac feedback signals significantly promote aggravation and further progression of HF and are causal in the poor prognosis of HF. The diversity and complexity of heart and brain interactions make it difficult to develop a comprehensive overview. In this paper a systematic approach is proposed to develop a comprehensive atlas of related conditions, signals and disease mechanisms of the interactions between the heart and the brain in HF. The proposed taxonomy is based on pathophysiological principles. Impaired perfusion of the brain may represent one major category, with acute (cardio-embolic) or chronic (haemodynamic failure) low perfusion being sub-categories with mostly different consequences (i.e. ischaemic stroke or cognitive impairment, respectively). Further categories include impairment of higher cortical function (mood, cognition), of brain stem function (sympathetic over-activation, neuro-cardiac reflexes). Treatment-related interactions could be categorized as medical, interventional and device-related interactions. Also interactions due to specific diseases are categorized. A methodical approach to categorize the interdependency of heart and brain may help to integrate individual research areas into an overall picture.
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Affiliation(s)
- Wolfram Doehner
- Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Germany.,Division of Cardiology and Metabolism, Department of Cardiology (CVK), Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Charité - Universitätsmedizin Berlin, Germany.,Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Germany
| | - Dilek Ural
- Department of Cardiology, Koc University School of Medicine, Istanbul, Turkey
| | - Karl Georg Haeusler
- Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Germany.,Department of Neurology, Charité - Universitätsmedizin Berlin, Germany
| | - Jelena Čelutkienė
- Clinic of Cardiac and Vascular Diseases, Centre of Cardiology, Vilnius University, Lithuania
| | - Reinaldo Bestetti
- Department of Medicine, University of Ribeirão Preto, Ribeirão Preto, Brazil
| | - Yuksel Cavusoglu
- Cardiology Department, Eskisehir Osmangazi University, Eskisehir, Turkey
| | | | - Duska Glavas
- Cardiology Department, University Hospital Split, Croatia
| | - Massimo Iacoviello
- University Cardiology Unit, Cardiothoracic Department, University Hospital, Bari, Italy
| | - Ulrich Laufs
- Klinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Leipzig, Germany
| | | | - Amam Mbakwem
- College of Medicine, University of Lagos, Lagos, Nigeria
| | - Massimo F Piepoli
- Heart Failure Unit, Cardiology, G. da Saliceto Hospital, Piacenza, Italy
| | - Stuart D Rosen
- Ealing and Royal Brompton Hospitals and NHLI, Imperial College, London, UK
| | | | - Cristiana Vitale
- Department of Medical Science, IRCCS San Raffaele Pisana, Rome, Italy
| | - M Birhan Yilmaz
- Department of Cardiology, Faculty of Medicine Cumhuriyet University, Sivas, Turkey
| | - Stefan D Anker
- Division of Cardiology and Metabolism, Department of Cardiology (CVK), Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Charité - Universitätsmedizin Berlin, Germany.,Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Germany.,Department of Cardiology and Pneumology, University of Göttingen Medical Center, Göttingen, Germany
| | - Gerasimos Filippatos
- Attikon University Hospital, National & Kapodistrian University of Athens, Athens, Greece
| | - Petar Seferovic
- University of Belgrade, Faculty of Medicine, Clinical Center of Serbia, Belgrade, Serbia
| | - Andrew J S Coats
- Department of Medical Sciences, IRCCS San Raffaele Pisana, Rome, Italy
| | - Frank Ruschitzka
- University Heart Center, Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
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48
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Kuller LH, Lopez OL, Gottdiener JS, Kitzman DW, Becker JT, Chang Y, Newman AB. Subclinical Atherosclerosis, Cardiac and Kidney Function, Heart Failure, and Dementia in the Very Elderly. J Am Heart Assoc 2017; 6:e005353. [PMID: 28735291 PMCID: PMC5586275 DOI: 10.1161/jaha.116.005353] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 06/07/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Heart failure (HF) and dementia are major causes of disability and death among older individuals. Risk factors and biomarkers of HF may be determinants of dementia in the elderly. We evaluated the relationship between biomarkers of cardiovascular disease and HF and risk of dementia and death. Three hypotheses were tested: (1) higher levels of high-sensitivity cardiac troponin T, N-terminal of prohormone brain natriuretic peptide, and cystatin C predict risk of death, cardiovascular disease, HF, and dementia; (2) higher levels of cardiovascular disease biomarkers are associated with increased risk of HF and then secondary increased risk of dementia; and (3) risk of dementia is lower among participants with a combination of lower coronary artery calcium, atherosclerosis, and lower high-sensitivity cardiac troponin T (myocardial injury). METHODS AND RESULTS The Cardiovascular Health Study Cognition Study was a continuation of the Cardiovascular Health Study limited to the Pittsburgh, PA, center from 1998-1999 to 2014. In 1992-1994, 924 participants underwent magnetic resonance imaging of the brain. There were 199 deaths and 116 developed dementia before 1998-1999. Of the 609 participants eligible for the Pittsburgh Cardiovascular Health Study Cognition Study, 87.5% (n=532) were included in the study. There were 120 incident HF cases and 72% had dementia. In 80 of 87, dementia preceded HF. A combination of low coronary artery calcium score and low high-sensitivity cardiac troponin T was significantly associated with reduced risk of dementia and HF. CONCLUSIONS Most participants with HF had dementia but with onset before HF. Lower high-sensitivity cardiac troponin T and coronary artery calcium was associated with low risk of dementia based on a small number of events. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00005133.
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Affiliation(s)
- Lewis H Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA
| | - Oscar L Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, PA
- Department of Psychiatry, School of Medicine, University of Pittsburgh, PA
| | - John S Gottdiener
- Division of Cardiovascular Medicine, School of Medicine, University of Maryland, Baltimore, MD
| | - Dalane W Kitzman
- Sections on Cardiovascular Medicine and Geriatrics, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC
| | - James T Becker
- Department of Neurology, School of Medicine, University of Pittsburgh, PA
- Department of Psychiatry, School of Medicine, University of Pittsburgh, PA
- Department of Psychology, University of Pittsburgh, PA
| | - Yuefang Chang
- Department of Neurological Surgery, University of Pittsburgh, PA
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA
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49
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Affiliation(s)
- Mehnosh Toback
- Foothills Hospital, Libin Cardiovascular Institute of Alberta, 1403, 29 Street N.W., Calgary,ABT2N 2T9, Canada
| | - Nancy Clark
- Foothills Hospital, Libin Cardiovascular Institute of Alberta, 1403, 29 Street N.W., Calgary,ABT2N 2T9, Canada
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50
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Houben CHM, Spruit MA, Schols JMGA, Wouters EFM, Janssen DJA. Instability of Willingness to Accept Life-Sustaining Treatments in Patients With Advanced Chronic Organ Failure During 1 Year. Chest 2016; 151:1081-1087. [PMID: 28007621 DOI: 10.1016/j.chest.2016.12.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 10/27/2016] [Accepted: 12/05/2016] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND For optimal end-of-life decision-making, it is important to understand the stability of patients' treatment preferences. The aim of this paper is to examine the stability of willingness to accept life-sustaining treatments during 1-year follow-up in Dutch patients with advanced chronic organ failure. In addition, we want to explore the association between willingness to accept high-burden treatment and preferences for CPR and mechanical ventilation (MV). METHODS In this multicenter longitudinal study, 265 clinically stable outpatients with advanced COPD (Global Initiative for Chronic Obstructive Lung Disease stage III/IV [n = 105]), chronic heart failure (New York Heart Association class III/IV [n = 80]), or chronic renal failure (requiring dialysis [n = 80) were visited at baseline and at 4, 8, and 12 months to assess the stability of life-sustaining treatment preferences using the Willingness to Accept Life-sustaining Treatment instrument. RESULTS Two hundred six patients completed 1-year follow-up (mean age, 67.2 years [SD, 13.1 years]; 64.1% men). Overall, proportions of patients who were willing to accept life-sustaining treatment during 1 year did not change over time. However, individual trajectories showed that about two-thirds of patients changed their preferences at least once during a year. Moreover, there was no association found between the stability of willingness to undergo high-burden therapy and the stability of preferences for CPR and MV. CONCLUSIONS The current findings show the complexity of preferences for end-of-life care and indicate once again that advance care planning is a continuous process between patients and physicians, in which preferences for specific situations are discussed and that needs to be regularly reevaluated to deliver high-quality end-of-life care. CLINICAL TRIAL REGISTRATION Netherlands National Trial Register (NTR 1552).
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Affiliation(s)
| | - Martijn A Spruit
- Department of Research and Education, CIRO, Horn, The Netherlands; Department of Respiratory Medicine, Maastricht University Medical Centre, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands
| | - Jos M G A Schols
- Department of Family Medicine and Department of Health Services Research, Faculty of Health, Medicine and Life Sciences/CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Emiel F M Wouters
- Department of Research and Education, CIRO, Horn, The Netherlands; Department of Respiratory Medicine, Maastricht UMC+, Maastricht, The Netherlands
| | - Daisy J A Janssen
- Department of Research and Education, CIRO, Horn, The Netherlands; Centre of Expertise for Palliative Care, Maastricht UMC+, Maastricht, The Netherlands
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