scholarly journals Trimethylamine N-Oxide, a Gut Microbiota-Dependent Metabolite, is Associated with Frailty in Older Adults with Cardiovascular Disease

2020 ◽  
Vol Volume 15 ◽  
pp. 1809-1820
Author(s):  
Wei He ◽  
Yao Luo ◽  
Jun-Peng Liu ◽  
Ning Sun ◽  
Di Guo ◽  
...  
2021 ◽  
Vol Volume 16 ◽  
pp. 747-748
Author(s):  
Wei He ◽  
Yao Luo ◽  
Jun-Peng Liu ◽  
Ning Sun ◽  
Di Guo ◽  
...  

2008 ◽  
Author(s):  
John Gunstad ◽  
Mary B. Spitznagel ◽  
Kelly Stanek ◽  
Faith Luyster ◽  
James Rosneck ◽  
...  

2019 ◽  
Author(s):  
Diego Adrianzen Herrera ◽  
Kith Pradhan ◽  
Rose Snyder ◽  
Siddharth Karanth ◽  
Murali Janakiram ◽  
...  

Author(s):  
Spencer W. Liebel ◽  
Lawrence H. Sweet

Cardiovascular disease (CVD) affects approximately 44 million American adults older than age 60 years and remains the leading cause of death in the United States, with approximately 610,000 each year. With improved survival from acute cardiac events, older adults are often faced with the prospect of living with CVD, which causes significant psychological, social, and economic hardship. The various disease processes that constitute CVD also exert a deleterious effect on neurocognitive functioning. Although existing knowledge of neurocognitive functioning in CVD and its subtypes is substantial, a review of these findings by CVD type and neurocognitive domain does not exist, despite the potential impact of this information for patients, health care providers, and clinical researchers. This chapter provides a resource for clinicians and researchers on the epidemiology, mechanisms, and neurocognitive effects of CVDs. This chapter includes a discussion of neurocognitive consequences of CVD subtypes by neuropsychological domain and recommendations for assessment. Overall, the CVD subtypes that have the most findings available on specific neurocognitive domains are heart failure, hypertension, and atrial fibrillation. Despite a large discrepancy between the number of available studies across CVD subtypes, existing literature on neurocognitive effects by domain is consistent with the literature on the neurocognitive sequelae of unspecified CVD. Specifically, the research literature suggests that cognitive processing speed, attention, executive functioning, and memory are the domains most frequently affected. Given the prevalence of CVDs, neuropsychological assessment of older adults should include instruments that allow consideration of these potential neurocognitive consequences of CVD.


2020 ◽  
Vol 32 (S1) ◽  
pp. 64-64
Author(s):  
T.J. Holwerda ◽  
D. Rhebergen ◽  
H.C. Comijs ◽  
J.J.M. Dekker ◽  
M.L. Stek

Background:The prevalence of loneliness increases with age. The presence of loneliness in older adults has been found to be associated with health problems such as depression, decreased cognitive functioning, increases in systolic blood pressure and increased mortality. The underlying mechanisms of the higher mortality risk are largely unknown.Methods:Meta-analysis to investigate the present evidence for the associations between loneliness and mortality. Cross-sectional studies investigating the associations between loneliness and cardiovascular disease and between loneliness and cortisol in 378 depressed and 132 non-depressed older adults.Results:Loneliness appears to be associated with increased mortality, although when only studies are included that consider depression as a covariate, the association is not significant. Therefore it seems likely that depression plays a mediating role in the higher mortality risk.We did not find a significant association between loneliness and cardiovascular disease. In contrast, loneliness was significantly associated with lower cortisol output and decreased dexamethasone suppression.Discussion:The results and their implications for prevention and treatment will be discussed from a clinical perspective as well as a general health perspective. Is loneliness as potentially dangerous as depression?


Author(s):  
Jessica Ardo ◽  
Jung-Ah Lee ◽  
Janett A. Hildebrand ◽  
Diana Guijarro ◽  
Hassan Ghasemazadeh ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1704
Author(s):  
Rahul Soangra ◽  
Thurmon Lockhart

Gait speed assessment increases the predictive value of mortality and morbidity following older adults’ cardiac surgery. The purpose of this study was to improve clinical assessment and prediction of mortality and morbidity among older patients undergoing cardiac surgery through the identification of the relationships between preoperative gait and postural stability characteristics utilizing a noninvasive-wearable mobile phone device and postoperative cardiac surgical outcomes. This research was a prospective study of ambulatory patients aged over 70 years undergoing non-emergent cardiac surgery. Sixteen older adults with cardiovascular disease (Age 76.1 ± 3.6 years) scheduled for cardiac surgery within the next 24 h were recruited for this study. As per the Society of Thoracic Surgeons (STS) recommendation guidelines, eight of the cardiovascular disease (CVD) patients were classified as frail (prone to adverse outcomes with gait speed ≤ 0.833 m/s) and the remaining eight patients as non-frail (gait speed > 0.833 m/s). Treating physicians and patients were blinded to gait and posture assessment results not to influence the decision to proceed with surgery or postoperative management. Follow-ups regarding patient outcomes were continued until patients were discharged or transferred from the hospital, at which time data regarding outcomes were extracted from the records. In the preoperative setting, patients performed the 5-m walk and stand still for 30 s in the clinic while wearing a mobile phone with a customized app “Lockhart Monitor” available at iOS App Store. Systematic evaluations of different gait and posture measures identified a subset of smartphone measures most sensitive to differences in two groups (frail versus non-frail) with adverse postoperative outcomes (morbidity/mortality). A regression model based on these smartphone measures tested positive on five CVD patients. Thus, clinical settings can readily utilize mobile technology, and the proposed regression model can predict adverse postoperative outcomes such as morbidity or mortality events.


2021 ◽  
Vol 331 ◽  
pp. e160
Author(s):  
K. Eruslanova ◽  
Y. Kotovskaya ◽  
O. Tkacheva

Author(s):  
Gabriela Spencer‐Bonilla ◽  
Sukyung Chung ◽  
Ashish Sarraju ◽  
Paul Heidenreich ◽  
Latha Palaniappan ◽  
...  

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