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1.
Neurobiol Aging ; 95: 186-194, 2020 11.
Article in English | MEDLINE | ID: mdl-32846274

ABSTRACT

The expression of microRNA (miRNA) is influenced by ongoing biological processes, including aging, and has begun to play a role in the measurement of neurodegenerative processes in central nervous system. The purpose of this study is to utilize machine learning approaches to determine whether miRNA can be utilized as a blood-based biomarker of cognitive aging. A random forest regression combining miRNA with biological (brain volume), clinical (comorbid conditions), and demographic variables in 115 typically aging older adults explained the greatest level of variance in cognitive performance compared to the other machine learning models explored. Three miRNA (miR-140-5p, miR-197-3p, and miR-501-3p) were top-ranked predictors of multiple cognitive outcomes (Fluid, Crystallized, and Overall Cognition) and past studies of these miRNA link them to cellular senescence, inflammatory signals for atherosclerotic formation, and potential development of neurodegenerative disorders (e.g., Alzheimer's disease). Several novel miRNAs were also linked to age and multiple cognitive functions, findings which together warrant further exploration linking these miRNAs to brain-derived metrics of neurodegeneration in typically aging older adults.


Subject(s)
Cognition , Cognitive Aging/psychology , MicroRNAs/blood , Neurodegenerative Diseases/diagnosis , Neurodegenerative Diseases/psychology , Aged , Aged, 80 and over , Biomarkers/blood , Female , Humans , Machine Learning , Male , MicroRNAs/physiology , Middle Aged , Predictive Value of Tests
2.
Crit Care Explor ; 2(6): e0122, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32695991

ABSTRACT

OBJECTIVES: Patients' stays in the ICU are often characterized by prolonged immobility, sedation, disrupted sleep, and extended periods of pain, which put ICU patients at greater risk for ICU-acquired weakness and delirium-related mortality. The aim of this study was to evaluate the feasibility and efficacy of using meditative virtual reality to improve the hospital experience of ICU patients. DESIGN: Final report of prospective observational trial. SETTING: Surgical and trauma ICUs of the University of Florida Health, an academic hospital. PATIENTS: Fifty-nine nonintubated adult ICU patients without delirium at recruitment. INTERVENTIONS: Patients were exposed to sessions of commercially available meditative virtual reality applications focused on calmness and relaxation, performed once daily for up to 7 days. MEASUREMENTS AND MAIN RESULTS: Outcome measures included pain level, pain medication administration, anxiety, depression, sleep quality, heart rate, respiratory rate, blood pressure, delirium status, and patient ratings of the virtual reality system. Comparisons were made using paired t tests and mixed models. The virtual reality meditative intervention improved patients' ICU experience with reduced levels of anxiety and depression; however, there was no evidence that virtual reality had significant effects on physiologic measures, pain, or sleep. CONCLUSIONS: The use of meditative virtual reality technology in the ICU was easily implemented and well-received by patients.

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