Nutritional Risk and Nutritional Status at Admission and Discharge among Chinese Hospitalized Patients: A Prospective,Nationwide, Multicenter Study

Objective: The objective of this study was to assess nutritional risk and status of Chinese hospitalized patients at admission and discharge and relations with clinical outcomes.

Methods: A prospective, nationwide, multicenter study was conducted from June to September 2014 in 34 large hospitals in 18 cities in China. Patients ≥ 18 years with a hospital stay of 7–30 days were recruited. Anthropometric and laboratory indicators, nutritional risk screening, and assessment by Nutritional Risk Screening 2002 (NRS 2002) and subjective global assessment (SGA) were performed within 24 hours of admission and discharge. Clinical data during hospitalization were collected.

Results: A total of 6,638 patients met the criteria with a male: female ratio of 1.39:1 and an average age of 59.72 ± 15.40 years. At admission, the proportion of patients with nutritional risk, body mass index (BMI) < 18.5 kg/m², and moderate to severe malnutrition was 40.12%, 8.92%, and 26.45%, respectively, whereas at discharge, these percentages were 42.28%, 8.91%, and 30.57%, respectively. The values of all of these indicators were higher in patients 65 years of age and older. Patients with nutritional risk at admission had a longer average hospital stay (14.02 ± 6.42 vs 13.09 ± 5.703 days), higher incidence of total complications (6.90% vs 1.52%), and greater total medical expenses (3.39 ± 7.50 vs 3.00 ± 3.38 million RMB; all p < 0.01) than patients without nutritional risk. Similar results were obtained for the patients with nutritional risk at discharge.

Conclusion: The prevalence of nutritional risk and malnutrition, including moderate to severe malnutrition, at discharge is higher than that observed at admission; the clinical outcome of patients with nutritional risk is poor.     

The New European Society for Clinical Nutrition and Metabolism Definition of Malnutrition: Application for Nutrition Assessment and Prediction of Morbimortality in an Emergency Service

Background : Recently, the European Society for Clinical Nutrition and Metabolism (ESPEN) provided novel consensus criteria for malnutrition diagnosis. This study aimed to evaluate the applicability of this instrument in combination with different nutrition screening tools (1) to identify malnutrition and (2) to predict morbidity and mortality in hospitalized patients. Materials and Methods : Observational prospective study in 750 adults admitted to the emergency service of a tertiary public hospital. Subjective Global Assessment (SGA—reference method) and the new ESPEN criteria were used to assess nutrition status of patients, who were initially screened for nutrition risk using 4 different tools. Outcome measures included length of hospital stay, occurrence of infection, and incidence of death during hospitalization, analyzed by logistic regression. Results : There was a lack of agreement between the SGA and ESPEN definition of malnutrition, regardless of the nutrition screening tool applied previously (κ = ?0.050 to 0.09). However, when Malnutrition Screening Tool and Nutritional Risk Screening–2002 (NRS‐2002) were used as the screening tool, malnourished patients according to ESPEN criteria showed higher probability of infection (relative risk [RR], 1.54; 95% confidence interval [CI], 1.02–2.31 and RR, 2.06; 95% CI, 1.37–3.10, respectively), and when the NRS‐2002 was used, the risk for death was 2.7 times higher (hazard ratio, 2.69; 95% CI, 1.07–6.81) in malnourished patients than in well‐nourished patients. Conclusion : Although the new ESPEN criteria had a poor diagnostic value, it seems to be a prognostic tool among hospitalized patients, especially when used in combination with the NRS‐2002.     

Serum Biomarkers Associated with Malnutrition and Nutritional Risk in Elderly Primary Care Patients: A Cross-sectional Study from Bosnia and Herzegovina

BackgroundThe aim of the study was to determine the ability of ferritin, haemoglobin, albumin and total cholesterol to identify nutritional risk and malnutrition among elderly primary care patients.MethodsThe cross-sectional study included 446 elderly adults over 65 years of age from four areas of Bosnia and Herzegovina. In addition to anthropometric, functional, cognitive and biochemical indicators, nutritional status was evaluated using 24-hour recall of meals, the Mini Nutritional Assessment (MNA), and Seniors in the Community: Risk Evaluation for Eating and Nutrition, Version II (SCREEN II).ResultsMalnourished/at-risk study respondents had lower mean levels of haemoglobin (P=0.001) and total cholesterol (P<0.001), compared to those with normal nutritional status. Albumin levels significantly differed regarding nutritional status (P=0.004), but not nutritional risk level (P=0.521). Significant differences in serum ferritin levels were not found between malnourished and normally nourished study respondents (P=0.779) Determinants of albumin level were eating more than three meals a day (P<0.001), fewer than two portions of fruit and vegetables a day (P=0.024), drinking one glass of wine (P<0.001) and reporting functional independence (P=0.011). The AUC curves for serum ferritin, albumin and total cholesterol levels in men and women, as well as for haemoglobin levels in women, were poor to fair (AUC<0.800).ConclusionAlthough ferritin, haemoglobin, albumin and total cholesterol may be useful biomarkers of nutritional status, their accuracy in diagnosing malnutrition and nutritional risk among elderly primary health care patients is limited.     

Malnutrition: Percentage and Association with Prognosis in Patients Hospitalized for Coronavirus Disease 2019

Previous studies have found a correlation between malnutrition and prognosis in respiratory infections. Our objectives were to determine (i) the percentage of malnutrition, and (ii) its prognosis in patients admitted for coronavirus disease 2019 (COVID-19). In this monocentric retrospective study, we consecutively included all adult patients presenting with acute COVID-19 between 9 April and 29 May 2020. Malnutrition was diagnosed on low body mass index (BMI) and weight loss ≥ 5% in the previous month and/or ≥ 10% in the previous six months. The Nutritional Risk Index (NRI) defined nutritional risk. Severe COVID-19 was defined as a need for nasal oxygen ≥ 6 L/min. We enrolled 108 patients (64 men, 62 ± 16 years, BMI 28.8 ± 6.2 kg/m²), including 34 (31.5%) with severe COVID-19. Malnutrition was found in 42 (38.9%) patients, and moderate or severe nutritional risk in 83 (84.7%) patients. Malnutrition was not associated with COVID-19 severity. Nutritional risk was associated with severe COVID-19 (p < 0.01; p < 0.01 after adjustment for C reactive protein), as were lower plasma proteins, albumin, prealbumin, and zinc levels (p < 0.01). The main cause of malnutrition was inflammation. The high percentage of malnutrition and the association between nutritional risk and COVID-19 prognosis supports international guidelines advising regular screening and nutritional support when necessary.     

High Rates of Malnutrition in Older Adults Receiving Different Levels of Health Care in Lleida,Catalonia: An Assessment of Contributory Factors

The aim of this study was to define the factors associated with the presence or risk of malnutrition in older adults (>65 years of age) attending health care centers in Lleida, Catalonia, using a cross-sectional study approach. Nutritional parameters assessed included the Mini Nutritional Assessment Scale, sociodemographic and psychosocial factors, functional and cognitive status, swallowing and oral problems, texture and route of administration of the diet, changes in dietary intake, and presence of digestive disorders. A total of 398 individuals (184 men) with an average age of 77 years were included in the assessment. Poor nutritional status was recorded in 58% of the individuals. Factors independently associated with unsatisfactory nutritional status included weight loss, functional dependence, cognitive impairment, loneliness, living without a partner, history of heart disease, lung disease, and the presence of acute vomiting.     

Phase Angle and Handgrip Strength as a Predictor of Disease-Related Malnutrition in Admitted Patients: 12-Month Mortality

Background: Phase Angle (PhA) value measured by bioelectrical impedance analysis (BIA) could be considered a good marker of the patient’s cell mass and cellular damage. Various studies have shown that the value of PhA is associated with an increased nutritional risk in several pathologies. However, not many studies have focused on the use of PhA as a screening tool in admitted patients. The aim of this study is to evaluate the prognostic value of PhA to determine disease-related malnutrition (DRM) and the risk that this entails for mortality and length of stay (LOS). Methods: 570 patients admitted to the hospital for different causes were included in this retrospective observational study. Patients’ nutritional risk was assessed by screening tests such as the Malnutrition Universal Screening tool (MUST) and Subjective Global Assessment (SGA), in addition to non-invasive functional techniques, such as BIA and handgrip strength (HGS), 24–48 h after admission. After performing an SGA as the gold standard to assess malnutrition, PhA and SPhA values were used to determine DRM. Furthermore, both samples: malnutrition status (MS) and non-malnutrition status (NMS) were compared, with SphA-Malnutrition corresponding to a diagnosis of malnutrition. Statistical analysis of the sample was conducted with JAMOVI version 2.2.2. Results: Patients with MS had lower PhA and SPhA than patients with NMS (p < 0.001). The ROC curve analysis (AUC = 0.81) showed a cut-off point for MS for PhA = 5.4° (sensitivity 77.51% and specificity 74.07%) and AUC = 0.776 with a cut-off point for SPhA = −0.3 (sensitivity 81.74% and specificity 63.53%). Handgrip strength (HGS) was also observed to be a good predictor in hospitalized patients. Carrying out a comparative analysis between MS and NMS, length of stay (LOS) was 9.0 days in MS vs. 5.0 days in NMS patients (OR 1.07 (1.04–1.09, p < 0.001)). A low SPhA-malnutrition value (SPhA < −0.3) was significantly associated with a higher mortality hazards ratio (HR 7.87, 95% CI 2.56–24.24, p < 0.001). Conclusion: PhA, SPhA and HGS are shown to be good prognostic markers of DRM, LOS and mortality and could therefore be useful screening tools to complement the nutritional assessment of admitted patients.     

Malnutrition Defined by Geriatric Nutritional Risk Index Predicts Outcomes in Severe Stroke Patients: A Propensity Score-Matched Analysis

Background: Malnutrition’s prognostic impact in patients with severe stroke requiring ICU admission is not well known. This study aimed to assess the nutritional status of severe stroke patients using the geriatric nutritional risk index (GNRI) and examine the association of GNRI with mortality in that population. Methods: We identified 1145 severe stroke patients requiring ICU admission from the Medical Information Mart for Intensive Care (MIMIC-III) database and divided them into low GNRI (≤98) or high GNRI (>98) groups. We used a propensity score matching (PSM) method to reduce confounding. Cox proportional hazards regression and restricted cubic splines were used to elucidate the association between GNRI and mortality. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated. Results: A total of 397 (35%) patients were in the low GNRI group (at risk of malnutrition). After PSM, patients in the low GNRI group still suffered higher mortality compared with the high GNRI group at 28 days (27.9 vs. 20.8%), 90 days (35.5 vs. 25.7%), and 1 year (43.4 vs. 30.9%) (p < 0.05). A low GNRI was significantly associated with an increased mortality (HR: 1.38, 95% CI 1.03–1.86 in 28 days; HR: 1.45, 95% CI 1.11–1.89 in 90 days; HR: 1.51, 95% CI 1.19–1.92 in 1 year). Sensitivity analyses yielded consistent results. Restricted cubic splines showed a progressively decreasing risk of mortality with increasing GNRI scores up to 110, approximately. Conclusion: Severe stroke patients with malnutrition experienced an increased risk of death compared to those without malnutrition. GNRI, as a simple and practical nutritional screening tool, can be used as a routine approach to the nutritional status of stroke patients.     

Malnutrition in Hospitalized Pediatric Patients: Assessment,Prevalence, and Association to Adverse Outcomes

Malnutrition is a frequent finding in pediatric health care settings in the form of undernutrition or excess body weight. Its increasing prevalence and impact on overall health status, which is reflected in the adverse outcomes, renders imperative the application of commonly accepted and evidence-based practices and tools by health care providers. Nutrition risk screening on admission and nutrition status evaluation are key points during clinical management of hospitalized pediatric patients, in order to prevent health deterioration that can lead to serious complications and growth consequences. In addition, anthropometric data based on commonly accepted universal growth standards can give accurate results for nutrition status. Both nutrition risk screening and nutrition status assessment are techniques that should be routinely implemented, based on commonly accepted growth standards and methodology, and linked to clinical outcomes. The aim of the present review was to address the issue of hospital malnutrition in pediatric settings in terms of prevalence, outline nutrition status evaluation and nutrition screening process using different criteria and available tools, and present its relationship with outcome measures.

Key teaching points

? Malnutrition—underweight or excess body weight—is a frequent imbalance in pediatric settings that affects physical growth and results in undesirable clinical outcomes. ? Anthropometry interpretation through growth charts and nutrition screening are cornerstones for the assessment of malnutrition.To date no commonly accepted anthropometric criteria or nutrition screening tools are used in hospitalized pediatric patients. ? Commonly accepted nutrition status and screening processes based on the World Health Organization's growth standards can contribute to the overall hospital nutrition care of pediatric patients.     

Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients

Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for dietary assessment that can be used for the identification and management of malnourished hospitalised patients. In this study, we propose an automated Artificial Intelligence (AI)-based system that receives input images of the meals before and after their consumption and is able to estimate the patient’s energy, carbohydrate, protein, fat, and fatty acids intake. The system jointly segments the images into the different food components and plate types, estimates the volume of each component before and after consumption, and calculates the energy and macronutrient intake for every meal, based on the kitchen’s menu database. Data acquired from an acute geriatric hospital as well as from our previous study were used for the fine-tuning and evaluation of the system. The results from both our system and the hospital’s standard procedure were compared to the estimations of experts. Agreement was better with the system, suggesting that it has the potential to replace standard clinical procedures with a positive impact on time spent directly with the patients.     

Polypharmacy and Malnutrition Management of Elderly Perioperative Patients with Cancer: A Systematic Review

Malnutrition, which commonly occurs in perioperative patients with cancer, leads to decreased muscle mass, hypoalbuminemia, and edema, thereby increasing the patient’s risk of various complications. Thus, the nutritional management of perioperative patients with cancer should be focused on to ensure that surgical treatment is safe and effective, postoperative complications are prevented, and mortality is reduced. Pathophysiological and drug-induced factors in elderly patients with cancer are associated with the risk of developing malnutrition. Pathophysiological factors include the effects of tumors, cachexia, and anorexia of aging. Metabolic changes, such as inflammation, excess catabolism, and anabolic resistance in patients with tumor-induced cancer alter the body’s ability to use essential nutrients. Drug-induced factors include the side effects of anticancer drugs and polypharmacy. Drug–drug, drug–disease, drug–nutrient, and drug–food interactions can significantly affect the patient’s nutritional status. Furthermore, malnutrition may affect pharmacokinetics and pharmacodynamics, potentiate drug effects, and cause side effects. This review outlines polypharmacy and malnutrition, the impact of malnutrition on drug efficacy, drug–nutrient and drug–food interactions, and intervention effects on polypharmacy or cancer cachexia in elderly perioperative patients with cancer.     

Malnutrition According to GLIM Criteria and Adverse Outcomes in Community-Dwelling Chinese Older Adults: A Prospective Analysis

ObjectivesThe Global Leadership Initiative on Malnutrition (GLIM) has proposed a consensus scheme for classifying malnutrition. This study examined the prevalence of malnutrition according to GLIM criteria and evaluated if these criteria were associated with adverse outcomes in community-dwelling older adults.DesignThis was a prospective cohort study.Setting and ParticipantsCommunity-dwelling Chinese men and women aged ≥65 years in Hong Kong.MethodsA health check including questionnaire interviews and physical measurements was conducted at baseline and 14-year follow-up. Participants were classified as malnourished at baseline according to the GLIM criteria based on 2 phenotypic components (low body mass index and reduced muscle mass) and 1 etiologic component (inflammation). Adverse outcomes including sarcopenia, frailty, falls, mobility limitation, hospitalization, and mortality were assessed at 14-year follow-up. Adjusted multiple logistic regression and Cox proportional hazards model were performed to examine the associations between malnutrition and adverse outcomes and presented as odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI).ResultsData of 3702 participants [median age: 72 years (IQR 68–76)] were available at baseline. Malnutrition was present in 397 participants (10.7%). Malnutrition was significantly associated with higher risk of sarcopenia (n = 898, OR 2.25; 95% CI 1.04–4.86), frailty (Fried (n = 971, OR 2.83; 95% CI 1.47–5.43), FRAIL scale (n = 985, OR 2.30; 95% CI 1.06–4.98)) and all-cause mortality (n = 3702, HR: 1.62; 95% CI 1.39–1.89). There was no significant association between malnutrition and falls (n = 987, OR 1.09; 95% CI 0.52–2.31), mobility limitation (n = 989, OR 0.98; 95% CI 0.36–2.67), and hospitalization (n = 989, OR 1.37; 95% CI 0.67–2.77).Conclusions and ImplicationsAmong community-dwelling Chinese older adults, malnutrition according to selected GLIM criteria was a predictor of sarcopenia, frailty, and mortality at 14-year follow-up; whereas no association was found for falls, mobility limitation, and hospitalization. Clinicians may consider applying the GLIM criteria to identify malnourished community-dwelling older adults.     

Utility of Geriatric Nutritional Risk Index in Patients with Chronic Kidney Disease: A Mini-Review

Chronic kidney disease (CKD) is one of the most significant risk factors for cardiovasculardisese. Malnutrition has been recognized as a significant risk factor for cardiovascular disease in patients with CKD, including those on chronic dialysis. Current studies showed higher all-cause and cardiovascular mortality rates in patients with CKD and malnutrition. Geriatric nutritional risk index (GNRI), a simple and validated nutritional screening measure for both elderly people and patients on dialysis, is based only on three objective parameters: body weight, height, and serum albumin level. Recently, we demonstrated that the cutoff GNRI for predicting all-cause and cardiovascular mortality was 96 in patients on hemodialysis. Moreover, together with left ventricular hypertrophy and low estimated glomerular filtration rate, the utility of GNRI as a significant determinant of cardiovascular events was demonstrated in non-dialysis-dependent patients with CKD. In the present review, we summarize available evidence regarding the relationship of GNRI with all-cause and cardiovascular mortality in patients with CKD including those on dialysis.     

Undernutrition Risk and Undernutrition in Pulmonology Department Inpatients: A Systematic Review and Meta-Analysis

Pulmonology patients are predisposed to be undernourished and a wide variability in the estimates of frequency of undernutrition risk and undernutrition is found in the literature. The aim of this systematic review and meta-analysis was to investigate the prevalence of undernutrition risk and undernutrition on hospital admission in pulmonology department inpatients. We also intend to take into account the different methodologies used to evaluate undernutrition risk and undernutrition in this population.

Pubmed, ISI-Web of Science, and Scopus were searched until January 2015. The evidence regarding the prevalence of undernutrition risk and undernutrition was summarized.

Twenty-two studies were included in the qualitative analysis and 21 in meta-analysis. The overall prevalence of undernutrition risk (32.73%; 95% confidence interval [CI], 31.29%–34.17%, I² = 97.6%) was lower than undernutrition prevalence (36.95%; 95% CI, 34.80%–39.10%, I² = 99.7%). The subtotal prevalence of undernutrition risk was similar using the Malnutrition Universal Screening Tool and Nutritional Risk Screening–2002. The studies using only anthropometric parameters for the assessment of undernutrition reported lower prevalence of undernutrition than the studies that used Subjective Global Assessment. Cross-sectional studies reported higher prevalence of undernutrition risk and undernutrition than cohort studies. Studies including larger samples reported a prevalence estimate similar to the overall prevalence for undernutrition risk and undernutrition. Studies conducted in non-pulmonology departments showed lower prevalence of undernutrition risk than those from pulmonology departments, contrary to the estimates for undernutrition prevalence.

Undernutrition risk and undernutrition prevalence at hospital admission are high among pulmonology inpatients, but the heterogeneity between the studies illustrates the lack of standardized methods to assess nutritional status in this population. The assessment of undernutrition must always be preceded by nutritional screening, according to guidelines, which did not take place in some analyzed studies.

Teaching Points

? Undernutrition risk and undernutrition prevalence are high among pulmonology inpatients.

? The heterogeneity between the analyzed studies reveals that there is no standard pattern in the choice of methods for nutritional status assessment in these patients.

? Timely screening and identification of undernutrition is of the utmost relevance in earlier nutritional interventions and implementation of nutritional support.

? The assessment of undernutrition must always be preceded by nutritional screening, in accordance with guidelines, which did not occur in some of the analyzed studies.     

Testing the Accuracy of a Bedside Screening Tool Framework to Clinical Records for Identification of Patients at Risk of Malnutrition in a Rural Setting: An Exploratory Study

This study aimed to explore the diagnostic accuracy of the Patient-Generated Subjective Global Assessment (PG-SGA) malnutrition risk screening tool when used to score patients based on their electronic medical records (EMR), compared to bedside screening interviews. In-patients at a rural health service were screened at the bedside (n = 50) using the PG-SGA, generating a bedside score. Clinical notes within EMRs were then independently screened by blinded researchers. The accuracy of the EMR score was assessed against the bedside score using area under the receiver operating curve (AUC), sensitivity, and specificity. Participants were 62% female and 32% had conditions associated with malnutrition, with a mean age of 70.6 years (SD 14.9). The EMR score had moderate diagnostic accuracy relative to PG-SGA bedside screen, AUC 0.74 (95% CI: 0.59–0.89). The accuracy, specificity and sensitivity of the EMR score was highest for patients with a score of 7, indicating EMR screen is more likely to detect patients at risk of malnutrition. This exploratory study showed that applying the PG-SGA screening tool to EMRs had enough sensitivity and specificity for identifying patients at risk of malnutrition to warrant further exploration in low-resource settings.     

Results of High-Protein,High-Calorie Oral Nutritional Supplementation in Malnourished Older People in Nursing Homes: An Observational,Multicenter, Prospective,Pragmatic Study (PROT-e-GER)

ObjectivesTo assess if the impact of oral nutritional supplements (ONS) on nutritional and functional status in malnourished older persons living in nursing homes shown by clinical trials are also found outside a trial setting.DesignObservational, multicenter, prospective, pragmatic study.Setting and ParticipantsThis study was carried out in 38 nursing homes throughout Spain. Nursing home physicians recruited consecutive residents, older than 65 years, with a diagnosis of malnutrition, when a clinical decision to start ONS had been taken after unsuccessful initial management with dietary interventions.InterventionThe participants received daily 2 bottles of an energy-rich, high-protein commercial ONS for 3 months.MeasuresPrimary outcomes were changes in nutritional status [body weight, body mass index (BMI), and Mini Nutritional Assessment-Short Form (MNA-SF)]; secondary outcomes were functional changes [Functional Ambulation Classification, Barthel index, handgrip strength, and Short Physical Performance Battery (SPPB)], as well as safety and adherence after 12 weeks of follow-up.ResultsA total of 282 residents (median age 86 years, 67% women) were included, and 244 (86.5%) completed the follow-up. At baseline, 77.3% of the participants were malnourished (BMI 19.7 kg/m², interquartile range 18.3–21.8). After 12 weeks of follow-up, participants experienced significant increases in body weight (2.6 ± 3.1 kg, 5.2 ± 5.9%), BMI (1.0 ± 1.2 kg/m²) and MNA-SF (4.0 ± 2.5 points). There were also significant improvements in functional status measured by the Barthel index, handgrip strength, SPPB, and gait speed. Good adherence was registered in 94.6% of the participants. No relevant side effects were found.Conclusions and ImplicationsImprovements in nutritional and functional status can be found when using a high-protein, high-calorie ONS in older undernourished people living in nursing homes.     

A Comparative Study between the Three Waves of the Pandemic on the Prevalence of Oropharyngeal Dysphagia and Malnutrition among Hospitalized Patients with COVID-19

Background: The phenotype of patients affected by COVID-19 disease changed between the waves of the pandemic. We assessed the prevalence of oropharyngeal dysphagia (OD), malnutrition (MN), and mortality between the first three waves of COVID-19 patients in a general hospital. Methods: a prospective observational study between April 2020–May 2021. Clinical assessment for OD was made with the volume-viscosity swallowing test; nutritional assessment was performed consistent with GLIM criteria. A multimodal intervention was implemented in the second and third wave, including (a) texturized diets—fork mashable (1900 kcal + 90 g protein) or pureed (1700 kcal + 75 g protein), (b) oral nutritional supplements (500–600 kcal + 25–30 g protein), and (c) fluid thickening (250 mPa·s or 800 mPa·s). Results: We included 205 patients (69.3 ± 17.6 years) in the 1st, 200 (66.4 ± 17.5 years) in the 2nd, and 200 (72.0 ± 16.3 years;) in the 3rd wave (p = 0.004). On admission, prevalence of OD was 51.7%, 31.3% and 35.1%, and MN, 45.9%, 36.8% and 34.7%, respectively; mortality was 10.7%, 13.6% and 19.1%. OD was independently associated with age, delirium, and MN; MN, with age, OD, diarrhea and ICU admission; mortality, with age, OD and MN. (4) Conclusions: Prevalence of OD, MN and mortality was very high among COVID-19 patients. OD was independently associated with MN and mortality. An early and proactive multimodal nutritional intervention improved patients’ nutritional status.     

Malnutrition in Older Adults—Effect on Falls and Fractures: A Narrative Review

Malnutrition in older adults impacts health status, increased mortality, and morbidity. Malnutrition may increase the development of geriatric syndromes and contribute to a higher prevalence of falls and osteoporotic fractures that lead to loss of independence and an increased rate of institutionalization. The role of malnutrition in the pathogenesis of other geriatric syndromes seems to be well established. However, the data concerning nutritional interventions are confounding. Moreover, long-term undernutrition seems to be one of the factors that strongly influences the efficacy of interventions. This review outlines the current literature on this topic, and aims to guide physicians to make proper decisions to prevent the vicious cycle of falls, fractures, and their negative outcomes in patients with malnutrition.     

Relationships between Pre-Stroke SARC-F Scores,Disability, and Risk of Malnutrition and Functional Outcomes after Stroke—A Prospective Cohort Study

SARC-F is a screening tool for sarcopenia; however, it has not yet been established whether SARC-F scores predict functional outcomes. Therefore, we herein investigated the relationship between SARC-F scores and functional outcomes in stroke patients. The primary outcome in the present study was the modified Rankin Scale (mRS) 3 months after stroke. The relationship between SARC-F scores and poor functional outcomes was examined using a logistic regression analysis. Furthermore, the applicability of SARC-F scores to the assessment of poor functional outcomes was analyzed based on the area under the receiver operating curve (ROC). Eighty-one out of the 324 patients enrolled in the present study (25%) had poor functional outcomes (mRS ≥ 4). The results of the multivariate analysis revealed a correlation between SARC-F scores (OR = 1.29, 95% CI = 1.05–1.59, p = 0.02) and poor functional outcomes. A cut-off SARC-F score ≥ 4 had low-to-moderate sensitivity (47.4%) and high specificity (87.3%). The present results suggest that the measurement of pre-stroke SARC-F scores is useful for predicting the outcomes of stroke patients.