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Relationship between Nutritional Status, Food Consumption and Sarcopenia in Post-Stroke Rehabilitation: Preliminary Data

ABSTRACT: After a stroke, patients can suffer from sarcopenia, which can affect recovery. This could be closely related to an impairment in nutritional status. In this preliminary analysis of a longitudinal prospective study, we screened 110 subjects admitted to our rehabilitation center after a stroke. We then enrolled 61 patients, who underwent a 6-week course of rehabilitation treatment. We identified a group of 18 sarcopenic patients (SG), according to the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), by evaluating muscle strength with the handgrip test, and muscle mass with bioelectrical impedance analysis (BIA). With respect to the non-sarcopenic group (NSG), the SG at admission (T0) had worse muscle quality, according to the BIA-derived phase angle, and a lower score of MNA®-SF. In contrast to the NSG, the SG also exhibited lower values for both BMI and the Geriatric Nutritional Risk Index (GNRI) at T0 and T1. Moreover, 33% of the SG had a major risk of nutrition-related complications (GNRI at T0 < 92) and discarded on average more food during the six weeks of rehabilitation (about one-third of the average daily plate waste). Of note is the fact that the Barthel Index’s change from baseline indicated that the SG had a worse functional recovery than the NGS. These results suggest that an accurate diagnosis of sarcopenia, along with a proper evaluation of the nutritional status on admission to rehabilitation centers, appears strictly necessary to design individual, targeted physical and nutritional intervention for post-stroke patients, to improve their ability outcomes.

SUBMITTER: Siotto M

PROVIDER: S-EPMC9693787 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Project description:This systematic review evaluated the association between frequency of family meals (FFM) and nutritional status (NS) and/or food consumption (FC) in adolescents. The protocol was registered with PROSPERO (CRD42017062180) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. No publication date, language, or meal type restrictions were imposed. Only full-text original articles were included; qualitative studies were excluded. Studies were identified by searching 5 electronic databases (PubMed, Web of Science, Scopus, BVS Brazil, and Adolec) and gray literature (Google Scholar) and by scanning reference lists of included articles. Risk of bias was assessed using the Newcastle-Ottawa scale for cohort and cross-sectional studies. Initial search yielded 2001 results and 47 articles were included. An updated literature search added 3 articles. Of the 50 studies included, 25 studied the association between FFM and NS, 32 investigated the association between FFM and FC, being that seven studies analyzed both outcomes. Thirty-four were cross-sectional studies, 12 were longitudinal studies, and 4 studies analyzed both cross-sectional and longitudinal data. Thirty-five studies were rated as having good quality, whereas 19 were of fair quality. Sample size ranged from 140 to 102 072 participants. Most investigations evaluated the frequency of breakfast, lunch, and/or dinner/supper/evening meals over a 1-week period. Seventeen studies identified a positive relationship between high FFM and better NS, and 26 found a positive association between high FFM and better FC. In conclusion, this review showed an association between FFM and healthy dietary patterns, such as increased consumption of fruits and vegetables. Further research is needed to understand the association between FFM and NS, since some studies showed a protective role of family meals against obesity in this age group, whereas other studies identified no significant association between these variables.

Project description:BackgroundMalnutrition and sarcopenia are frequently observed in patients undergoing maintenance hemodialysis (MHD). To elucidate whether malnutrition is associated with sarcopenia in those cases, the relationship of nutritional status with sarcopenia was investigated.MethodsNutritional status was assessed using a nutritional risk index (NRI) developed for patients undergoing MHD. This retrospective cross-sectional study included 315 MHD patients (199 males, 116 females), who were divided into low-risk (score 0-7) and medium-/high-risk (score 8-13) groups. Sarcopenia and severe sarcopenia, along with low muscle mass, low muscle strength, and low physical performance were defined using the Asian Working Group for Sarcopenia 2019 criteria.ResultsThe median NRI score was 5.0, while the prevalence of medium-/high-risk cases among the patients was 31.1%. Additionally, the rates of those with low muscle mass, low muscle strength, and low physical performance were 55.9, 60.6, and 31.4%, respectively, while those of sarcopenia and severe sarcopenia were 44.1 and 20.0%, respectively. Multivariable logistic regression analyses revealed a significant (P < 0.001) association of NRI score with sarcopenia [odds ratio (OR) 1.255, 95% confidence interval (CI) 1.143-1.377] and severe sarcopenia (OR 1.257, 95% CI 1.122-1.407), as well as low muscle mass (OR 1.260, 95% CI 1.157-1.374), low muscle strength (OR 1.310, 95% CI 1.178-1.457), and low physical performance (OR 1.216, 95% CI 1.104-1.339). Furthermore, medium-/high-risk status showed a significant (P < 0.05) association with sarcopenia (OR 2.960, 95% CI 1.623-5.401) and severe sarcopenia (OR 2.241, 95% CI 1.151-4.362), as well as low muscle mass (OR 2.141, 95% CI 1.219-3.760), low muscle strength (OR 7.665, 95% CI 3.438-17.091), and low physical performance (OR 2.570, 95% CI 1.401-4.716).ConclusionsThese results suggest that malnutrition contributes to sarcopenia/severe sarcopenia in MHD patients by reducing muscle mass and strength, and physical performance.

Project description:Frailty is a multidisciplinary public health issue and nutrition is key concern. Given the scientific consistency about inflammation as shared pathway to poor nutrition and frailty, food processing seems a suitable target to gain evidence in frailty prevention nutrition settings. This study aimed to assess diet in relation to nutritional frailty using the NOVA classification. Browsing the dataset of the Salus in Apulia, 2185 older adults were found to have completed the nutritional assessment, providing eligible data for this study goal. A validated construct, based on the co-presence of physical frailty by CHS criteria plus nutritional imbalance, was applied to characterize nutritional frailty phenotypes. Using the NOVA classification, daily food and beverage intakes from an 85-item self-administered FFQ were assigned to three categories, and effect sizes were tested among groups according to nutritional frailty status (presence/absence). Raw and adjusted logistic regression models were run to assess associations between NOVA food categories by quintiles of daily exposure (very-low, low, mild, moderate, high) and nutritional frailty. Nutritional frailty prevalence was 27%, being more frequent in males. Eating more unprocessed or minimally processed foods was inversely related to nutritional frailty, even after adjustment (OR: 0.10, 95%CI 0.07-0.16), showing a downward ORs behavior toward lower consumption quintiles. Listing in the quintile of moderate consumption of processed foods meant a nearly 50% increase in nutritional frailty probability (OR: 1.46, 95%CI 1.03-2.06), while the probability was double for the highest quintile against the lowest (OR: 3.22, 95%CI 2.27-4.58). A growing probability of nutritional frailty was found for increasing consumption of ultra-processed foods, but significance was lacking. The contribution of food processing to poor nutrition needs to be considered when promoting a better understanding of effective nutritional screening in aging. Therefore, food processing should be accounted for when composing diet guidelines for the older population within the framework of multidisciplinary efforts to ease the frailty healthcare burden.

Project description:ObjectiveTo evaluate the relationships between baseline nutritional status, medical events (MEs), and rehabilitation outcomes in individuals undergoing inpatient rehabilitation (IR).DesignA retrospective single center cohort study.SettingAn IR ward.ParticipantsThis study included 409 patients (mean age, 80 years; men, 170 [42%]) undergoing IR for hospital-associated deconditioning, neurologic disorders, or musculoskeletal diseases. Participants were grouped according to the Controlling Nutritional Status score at admission: normal nutrition (NN): 0 to 1, mild malnutrition (MM): 2 to 4, and moderate/severe malnutrition (M/SM): 5 to 12.InterventionsNone.Main outcome measuresThe primary outcomes included MEs leading to death or acute illness requiring transfer to other hospitals for specialized treatments. The secondary outcomes were the rehabilitation efficiency scores (changes in Functional Independence Measure [FIM] score divided by length of stay) for motor function (FIM-M) and cognitive function (FIM-C).ResultsAmong the 409 participants, 300 (73%) were malnourished at admission. The adjusted hazard ratios (95% confidence interval) for MEs in the MM and M/SM groups relative to the NN group were 1.48 (0.67-3.27) and 0.98 (0.34-2.81), respectively. No significant differences were observed among the 3 groups in FIM-M efficiency scores (mean ± SD, NN: 0.49±0.51 vs MM: 0.41±0.57 vs M/SM: 0.44±1.06, P=.7) or FIM-C efficiency scores (0.04±0.06 vs 0.04±0.06 vs 0.08±0.4, P=0.1). Analysis of covariance showed no significant association between MM or M/SM group and FIM-M efficiency score (beta coefficient = -0.038, P=.6; beta coefficient = 0.15, P=.1, respectively) or FIM-C efficiency score (beta coefficient = 0.004, P=.8; beta coefficient = 0.047, P=.08, respectively).ConclusionNo significant associations were observed between the baseline nutritional status and MEs, FIM-M efficiency score, or FIM-C efficiency score in individuals undergoing IR.

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Relationship between Nutritional Status, Food Consumption and Sarcopenia in Post-Stroke Rehabilitation: Preliminary Data

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