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Brief Title: The Role of Nutrition in the Rehabilitation of Patients With Eating Disorders After a Vascular Stroke.

University of Ioannina · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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eating-disordersosteopeniasarcopeniastroke
Brief Summary: The main objective of this thesis is to investigate the role of nutrition - specifically the administration of protein supplements (single dose and double dose) - in the rehabilitation of stroke patients with low albumin levels in relation to sarcopenia, osteopenia and functional recovery indices. The study will follow a randomized controlled trial design, incorporating clinical observation, analysis of biochemical markers, and assessment of physical and functional parameters. Participants will be randomly assigned to one of the three groups: (1) Group 1, receiving no protein supplementation (control group), (2) Group 2, receiving a single dose of protein supplement and (3) Group 3, receiving a double dose of protein supplement. The intervention will last for at least six weeks or until the biochemical markers of albumin normalize and the patient resumes regular oral intake. Biochemical assessment with be conducted through regular nutritional evaluations including measurement of serum albumin, prealbumin, C - reactive protein, creatinine, blood glucose and glycosylated hemoglobin (HbA1c), urea, electrolytes, urine albumin and additional inflammatory markers. Bone density will be assessed using DEXA, MBSR and hip measurements to determine the potential improvements resulting from the intervention. Muscle mass will be evaluated using whole - body DEXA analysis, while muscle strength and mobility will be assessed through grip strength tests and fine gait assessments. Functional recovery will be evaluated usings standardized tools for activities of daily living (Barthel Index), mental state (Geriatric Depression Scale) and quality of life (SF - 36), as well as mobility and walking tests such as the Timed Up and Go Test and 6 - Minute Walk Test. The collected data will be analyzed using appropriate statistical tools, including comparison models (ANOVA, Mann - Whitney U test) and correlation models (Pearson - Spearman). This research is expected to enhance
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