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BACKGROUND: To reduce neonatal mortality, it is necessary to identify neonates with fetal malnutrition at birth using the clinical assessment score (CAN score). Furthermore, comprehensive summary data that shows burden of fetal malnutrition in Africa is scarce. As a result, this systematic review and meta-analysis aimed to assess fetal malnutrition among newborns in Africa. METHOD: The PRISMA guidelines were used for this study. Articles were obtained from databases and websites. The outcome of the study was fetal malnutrition, as determined using the CAN score. The meta-analysis of the primary and secondary outcomes was performed using Stata version 18 statistical software. The pooled prevalence with a 95% CI was estimated using the random effect method with the Der Simonian Liard model. RESULTS: This meta-analysis and systematic review included 5356 newborns from 13 studies. The pooled prevalence of fetal malnutrition (FM) among newborns diagnosed using the CAN score in Africa was 19% [95% CI: 17, 22]. Based on subgroup analysis by publication year, the lowest prevalence of fetal malnutrition 17% (95% CI: 9-27) was observed in the studies published in the years 2020-2023. Maternal and fetal factors were significantly associated with fetal malnutrition. CONCLUSION: Nearly one-fifth of neonates delivered in Africa were found to have fetal malnutrition based on the clinical evaluation of nutritional status. It has also been established that maternal malnutrition, a lack of proper treatment during pregnancy, maternal malnutrition, and newborn morbidities were associated with fetal malnutrition. To prevent fetal malnutrition, integrated efforts should be made for early maternal infection screening. Furthermore, maternal nutritional therapy should be explored for malnourished pregnant women.

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PURPOSE: Malnutrition is common in children with cancer. While multiple validated malnutrition screens exist, there is no universal, standardized approach to screen or diagnose malnutrition. The Multinational Association of Supportive Care in Cancer (MASCC) Pediatric Study Group is focused on oncologic supportive care for children and young adults. This subgroup designed and administered a pilot study to characterize global malnutrition screening, diagnosis, and treatment practices for pediatric patients with cancer after identifying variations in malnutrition practice patterns within its members. METHODS: A novel, exploratory survey was iteratively developed and distributed in early 2020 to 45 MASCC Pediatric Study Group members. The survey included multiple questions with standard patient presentations and nutritional scenarios, and the respondents selected the answer that best reflected the care patients would receive at their institution. RESULTS: A validated screening tool to assess for malnutrition was routinely used by 15 of 26 respondents (58%). No single validated screen was used by more than 24% of responders, and 11 of 26 (42%) reported not having a standard malnutrition treatment screen. When the same patient was presented with the survey using different malnutrition indicators, patient care plans varied greatly. This was particularly true for z-scores compared to weight percentiles. CONCLUSIONS: Development of consensus recommendations for screening practices, preferred malnutrition indicators, and treatment guidelines could help reduce the underdiagnosis of malnutrition and subsequent variation in its management and ought to be a focus of the global pediatric cancer supportive care community.

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BACKGROUND: Malnutrition is common in older patients with chronic heart failure (HF) and often accompanies a deterioration of their condition. The Controlling Nutritional Status (CONUT) score is used as an objective indicator to evaluate nutritional status, but relevant research in this area is limited. This study aimed to report the prevalence, clinical correlates, and outcomes of malnutrition in elder patients hospitalized with chronic HF. METHODS: A retrospective analysis was conducted on 165 eligible patients admitted to the Department of Cardiology at Huadong Hospital from January 2021 to December 2022. Patients were categorized based on their CONUT score into three groups: normal nutrition status, mild risk of malnutrition, and moderate to severe risk of malnutrition. The study examined the nutritional status of this population and its relationship with clinical outcomes. RESULTS: Findings revealed that malnutrition affected 82% of the older patients, with 28% experiencing moderate to severe risk. Poor nutritional scores were significantly associated with prolonged hospital stay, increased in-hospital mortality and all-cause mortality during readmissions within one year (P < 0.05). The multivariable analysis indicated that moderate to severe malnutrition (CONUT score of 5-12) was significantly associated with a heightened risk of prolonged hospitalization (aOR: 9.17, 95%CI: 2.02-41.7). CONCLUSIONS: Malnutrition, as determined by the CONUT score, is a common issue among HF patients. Utilizing the CONUT score upon admission can effectively predict the potential for prolonged hospital stays.

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BACKGROUND: Malnutrition and sarcopenia significantly increase the risk of intra-hospital delirium, particularly among older adults. Given the potential correlation between calf circumference (CC) and these conditions, CC emerges as a promising predisposing factor for delirium. This study aims to investigate the independent association between delirium and anthropometric parameters, focusing on evaluating CC's predictive capacity for intra-hospital delirium risk. Additionally, it aims to compare CC's predictive performance with the widely used Mini Nutritional Assessment (MNA), while also considering potential gender disparities. METHODS: This is a retrospective study which enrolled patients aged ≥ 65 years from September 2021 to March 2022 at the Padova Hospital (Italy). Physical characteristics, intra-hospital delirium incidence, and body composition were assessed. Sarcopenia was diagnosed using the 2019 European Consensus criteria. RESULTS: Among 207 subjects, delirium affected 19% of patients. CC showed a significant association with intra-hospital delirium among the analyzed anthropometric parameters. ROC curves indicated that CC's predictive capacity for delirium onset was comparable to MNA (p = 0.98), particularly in women. In a multivariable logistic regression model, female gender and higher cognitive and CC scores emerged as protective factors against delirium onset, with each unit increase in CC associated with a 24% reduction in the odds of delirium. Conversely, sarcopenia did not significantly influence delirium onset. CONCLUSIONS: CC shows promise as a predisposing factor for intra-hospital delirium, similar to MNA, albeit with significant gender differences. CC could serve as a valuable tool for assessing delirium risk among female patients. Further validation of these findings is necessary through larger-scale studies.

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BACKGROUND AND AIMS: The C-reactive protein to albumin ratio (CAR) is a novel parameter that has been reported as a significant prognostic marker in some diseases. The purpose of the present research was to investigate the predictive value of this ratio with regard to nutritional status in geriatric patients. METHODS AND RESULTS: A total of 154 geriatric patients (age ≥65 years) who consecutively presented to the internal medicine outpatient clinic were included in this cross-sectional study. The Mini Nutritional Assessment (MNA) was used as a reference to determine the nutritional status of the patients. Based on the MNA results, the patients were divided into two groups: normal nutrition and malnourished or at risk of malnutrition. The median CAR of malnourished patients or those at risk of malnutrition was significantly higher than that of patients with normal nutritional status (p = .012). A significant negative correlation was also observed between the MNA score and the CAR (r = -0.196, p = .015). The receiver operating characteristic curve analysis indicated that the CAR was a significant predictor of malnourishment or the risk of malnutrition (p = .012). CONCLUSION: The CAR could predict which geriatric patients were malnourished or at risk of malnutrition. CAR may be used as a new tool in the nutritional screening of geriatric patients.

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OBJECTIVES: To determine the efficacy of the 3-Minute Nutrition Screening (3-MinNS) tool in adults hospitalized for cardiovascular diseases. METHODS: In this descriptive cross-sectional study of 759 cardiovascular disease patients in Erciyes University Cardiology Clinic, anthropometric measurements and some routine biochemical parameters were recorded, and nutrition screening tools were used to determine malnutrition status. The power of 3-MinNS to detect malnutrition in cardiovascular diseases patients was calculated. RESULTS: There was a strong positive correlation between 3-MinNS and Nutrition Risk Screening-2002 (NRS-2002) (r=0.719, p<0.001). A moderate agreement was found between 3-MinNS and NRS-2002 (κ=0.496, p<0.001). The sensitivity, specificity, and AUC of 3-MinNS were 79.1%, 75.0%, and 0.851, respectively, and it was determined to be a moderately effective nutrition screening tool that can be used to identify malnutrition in patients with cardiovascular diseases. CONCLUSION: The 3-MinNS is a moderately effective nutrition screening tool that can be administered within the first 24 hours of hospitalization in patients with cardiovascular diseases.

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Nutritional risk screening 2002 (NRS2002) is a commonly used tool for screening the risk of malnutrition in hospitalized patients, while patient-generated subjective global assessment (PG-SGA) is a nutritional assessment tool for malignant tumor patients. However, there are still gaps in the rapid nutritional risk screening methods for cancer patients. We aimed to evaluate the value of abridged scored patient-generated subjective global assessment (abPG-SGA) for nutritional risk screening and prognosis in cancer patients. The NRS 2002 and abPG-SGA scores of 100 malignant tumor patients hospitalized in our department in December 2020 were collected. Take NRS2002 ≥ 3 as the positive standard (risk of malnutrition). Data were analyzed using Kappa test, ROC curves, cut-off values and Kaplan-Meier. In the screening of 100 patients, 25.0% of patients were at risk of malnutrition (NRS2002), abPG-SGA yielded a sensitivity and specificity of 92.0% and 72.0%, respectively (area under curve [AUC] = 0.884, cut-off value ≥ 4.5); In the screening of patients with digestive system malignancies, 22.6% of patients were at risk of malnutrition (NRS2002), and the sensitivity and specificity of abPG-SGA were 91.67% and 87.80%, respectively (AUC = 0.945, cut-off value ≥ 5.5). The results of survival analysis showed that the overall survival (OS) of patients with abPG-SGA ≥ 5 and < 5, NRS2002 ≥ 3 and abPG-SGA < 5, NRS2002 < 3 and abPG-SGA ≥ 5 were significantly different (P < .0001), the OS of patients with NRS2002 ≥ 3 and abPG-SGA ≥ 5, NRS2002 < 3 and abPG-SGA < 5 were not significantly different (P > .05). Like NRS2002, abPG-SGA can also be used for malnutrition screening and prognosis judgment in cancer patients. It can quickly screen out cancer patients who may be at risk of malnutrition and facilitate the development of nutritional assessments.

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(1) Background: Hospital-acquired malnutrition in pediatric patients leads to adverse outcomes. This study aimed to develop and validate a pediatric hospital-acquired malnutrition (PHaM) risk score to predict nutritional deterioration. (2) Methods: This was a derivative retrospective cohort study for developing a PHaM risk score. The study included data from children aged 1 month-18 years admitted to pediatric wards in four tertiary care hospitals for at least 72 h between December 2018 and May 2019. Data on pediatric patients' characteristics, medical history, nutritional status, gastrointestinal symptoms, and outcomes were used for tool development. Logistic regression identified risk factors for nutritional deterioration, defined as a decline in BMI z-score ≥ 0.25 SD and/or ≥2% weight loss. A PHaM risk score was developed based on these factors and validated with an independent prospective cohort from July 2020 to March 2021. (3) Results: The study used a derivative cohort of 444 patients and a validation cohort of 373 patients. Logistic regression identified gastrointestinal symptoms, disease severity, fever, lower respiratory tract infection, and reduced food intake as predictors. The PHaM risk score (maximum 9 points) showed good discrimination and calibration (AUC 0.852, 95% CI: 0.814-0.891). Using a cut-off at 2.5 points, the scale had 63.0% sensitivity, 88.6% specificity, 76.1% positive predictive value, and 80.6% negative predictive value (NPV) when applied to the derivative cohort. The accuracy improved on the validation cohort, with 91.9% sensitivity and 93.0% NPV. (4) Conclusions: This PHaM risk score is a novel and probably effective tool for predicting nutritional deterioration in hospitalized pediatric patients, and its implementation in clinical practice could enhance nutritional care and optimize outcomes.

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The purpose of this study was to assess the prevalence and prognosis of cachexia in patients with non-sarcopenic dysphagia. A retrospective cohort study was conducted using the Japanese sarcopenic dysphagia database. Cachexia was diagnosed using the Asian Working Group for Cachexia criteria, sarcopenia using the Asian Working Group for Sarcopenia 2019 criteria, and malnutrition using the Global Leadership Initiative on Malnutrition criteria. Outcomes were death, swallowing function (Food Intake LEVEL Scale (FILS)), and activities of daily living (Barthel Index (BI)). The mean age of the 175 non-sarcopenic dysphagia patients was 77 (±11) years; 103 (59%) were male, 30 (17%) had cachexia, 133 (76%) had whole-body sarcopenia, and 92 (53%) were malnourished. Of the 30 patients with cachexia, 4 and 11 did not have sarcopenia and malnutrition, respectively. No significant associations were found between cachexia, sarcopenia, and malnutrition. Death was notably higher in the cachexia group (5/30; 17% vs. 2/145; 1%, p = 0.002). Median FILS (7 vs. 8, p = 0.585) and median BI (35 vs. 50, p = 0.469) scores did not show significant differences based on cachexia status. The prevalence of cachexia was 17%, and mortality may be higher with cachexia in non-sarcopenic dysphagia patients.

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OBJECTIVES: The aim of this investigation was to evaluate the discrepancies between bioelectrical impedance analysis (BIA) and computed tomography (CT) in assessing skeletal muscle mass and identifying low muscle mass in patients with colorectal cancer. METHODS: This study recruited 137 patients with colorectal cancer from February 2028 to December 2023. CT scans were analyzed at the Lumbar 3 vertebral level to determine the area of skeletal muscle, which was then utilized to estimate whole-body skeletal muscle mass. [BIA] was also employed to measure skeletal muscle. Both skeletal muscle mass values [kg] were divided by height2 [m2] to calculate the skeletal muscle index [SMI, kg/m2], denoted as SMI-CT and SMI-BIA, respectively. RESULTS: The median age was 69.8 + 9.5 years, with the sex ratio being 88/49 [male/female]. Whereas more than one-third of the patients were classified as malnourished based on the Global Leadership Initiative on Malnutrition GLIM-CT criteria using L3-SMI [n = 36.5%], fewer patients were classified as malnourished based on GLIM-BIA using SMI-BIA [n = 19.0%]. According to the CT analysis [low SMI-L3], 52 [38.0%] patients were diagnosed as having poor muscle mass, whereas only 18 [13.1%] patients were identified as having low muscle mass using BIA [low SMIBIA]. The measured SMI showed a positive association with SMI-CT in all patients [r = 0.63, p < 0.001]. Using Bland-Altman evaluation, a significant mean bias of 0.45 + 1.41 kg/m2 [95% CI 0.21-0.70; p < 0.001] between SMI-BIA and SMI-CT was reported. Receiver operating characteristic (ROC) curves were generated to detect poor muscle mass using SMI-BIA with CT as the gold standard. The area under the curve (AUC) for SMI-BIA in identifying poor muscle mass was 0.714 (95% CI: 0.624-0.824), with a good cut-off value of 8.1 kg/m2, yielding a sensitivity of 68.3% and a specificity of 66.9%. CONCLUSIONS: BIA generally overestimates skeletal muscle mass in colorectal cancer patients when contrasted to CT. As a result, BIA may underestimate the prevalence of poor muscle mass and malnutrition according to the GLIM criteria in this patient population.

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OBJECTIVES: The aim of this study was to evaluate body composition variability assessed by bioimpedance in relation to nutritional status assessed by anthropometry in children and adolescents living in countries characterized by contrasting nutritional conditions. METHODS: The sample was comprised of 8614 children (4245 males; 4369 females), aged 3 to 19 years, from Nepal (477 children), Uganda (488 children and adolescents), UK (297 children and adolescents) and US (7352 children and adolescents). Height-for-age (HAZ) and body mass index-for-age (BAZ) z-scores were calculated according to WHO growth references. Specific bioelectrical impedance vector analysis (BIVA) was used to evaluate body composition variability. In each population sample, the relationship of HAZ and BAZ with bioelectrical outcomes was analysed by confidence ellipses and cubic spline regression, controlling for sex and age. RESULTS: The participants from Uganda and Nepal were more affected by undernutrition, and those from the US and UK by obesity. In all groups, phase angle and specific vector length were weakly associated with HAZ, with null or opposite relationships in the different samples, whereas they were positively associated with BAZ. The stronger association was between vector length, indicative of the relative content of fat mass, and BAZ in the UK and US samples. Confidence ellipses showed that the relationships are more strongly related to phase angle in Nepalese and Ugandan samples. CONCLUSIONS: Bioelectrical values were more strongly associated with BAZ than HAZ values in all population samples. Variability was more related to markers of muscle mass in Ugandan and Nepalese samples and to indicators of fat mass in UK and US samples. Specific BIVA can give information on the variability of body composition in malnourished individuals.

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INTRODUCTION: Heart failure (HF) is associated with significant alterations in body composition, including malnutrition due to insufficient intake, chronic inflammation and increased energy expenditure. Identifying the prevalence of malnutrition and the risk of sarcopenia in patients with HF is crucial to improve clinical outcomes. MATERIAL AND METHODS: This cross-sectional, single-center, observational study involved 121 outpatients diagnosed with HF. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Malnutrition Universal Screening Tool (MUST), and the Subjective Global Rating (SGA). Sarcopenia was screened using the SARC-F (Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls) questionnaire and diagnosed based on the European Working Group in Older People (EWGSOP2) criteria and functionality with the Short Performance Battery (SPPB) test. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS: The study found that 10.7% had cardiac cachexia and 45.4% of deceased patients had been in this condition (p = 0.002). Moderate-to-high risk of malnutrition was identified in 37.1%, 23.9%, and 31.4% of patients according to the MNA, MUST, and SGA tests, respectively. According to the GLIM criteria, 56.2% of patients were malnourished. Additionally, 24.8% of patients had a high probability of sarcopenia, and 57.8% were not autonomous according to SPPB. Patients with less than 30% quadriceps muscle contraction were at a high risk of sarcopenia. CONCLUSIONS: There is a high prevalence of malnutrition among outpatients with HF, which is associated with worse prognosis, increased risk of sarcopenia, and greater frailty. These findings underscore the importance of early nutritional and functional assessments in this population to improve clinical outcomes.

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BACKGROUND: Malnutrition in the elderly places a significant burden on healthcare, social, and aged-care systems, yet it often remains undiagnosed and untreated. This study aims to evaluate family physicians' knowledge and attitudes towards the diagnosis and treatment of malnutrition in the elderly. METHODS: Based on a literature review, an online questionnaire was developed, comprised of seven knowledge-related items and eight attitude-related questions regarding malnutrition in elderly populations. We also assessed the feasibility of including two malnutrition screening questions in regular clinic visits for individuals aged ≥ 70 years. RESULTS: Surveys were completed by 126 physicians (35% response rate), mean age 47.2 ± 12.6 years; 15.6 ± 12.5 years of practice; 67% females; and 92% board-certified family physicians. Moreover, 77.6% agreed that diagnosing malnutrition is important in patients with decreased appetite. Most respondents demonstrated knowledge of nutritional screening principles (63.5%) and recognized that even obese elderly individuals could be malnourished (83.2%). There was partial agreement (60%) that normal BMI values in the elderly differ from those in younger populations. Almost complete agreement was seen for incorporating two nutritional status questions in medical visits (91%), with physicians expressing willingness to receive training in malnutrition identification and screening tools. Despite challenges such as time constraints and limited knowledge, participants were open to conducting biannual malnutrition risk screening for elderly patients. CONCLUSION: We recommend malnutrition screening in primary care followed by malnutrition diagnosis and referral of malnourished patients to the proper intervention.

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BACKGROUND: To describe the nutritional status of IPF patients, report clinical associations and evaluate the prognostic value of them in IPF. METHODS: 264 IPF patients diagnosed with IPF at the Second Xiangya Hospital of Central South University between January 2011 and January 2021 were recruited. Three different scoring systems, including nutritional risk index (NRI), controlling nutritional status (CONUT) score, and prognostic nutritional index (PNI) were used to describe the nutritional status of IPF patients. RESULT: This study investigated the prevalence of malnutrition in 264 IPF patients, of which the percentage with malnutrition varied from 37.5 % with the NRI, to 47.4 % with the CONUT score, and to 6.4 % with the PNI. The moderate to severe malnutrition ranged from 10.2 % to 31.1 % across these indices, with PNI identifying only 4.9 % in this category. Worsening malnutrition status was associated with significantly higher incidence of all-cause mortality and IPF death regard of the malnutrition index as NRI (p < 0.05). When the normal nutrition of NRI was used as a reference, patients in the moderate to severe risk remained at a higher risk of all-cause death (HR = 2.06(1.25-3.41)) and IPF death(HR = 2.36(1.35-4.15)). The adjusted multivariate analysis, identified age(HR = 1.13(1.08-1.20)), DLCO <60, % predicted (HR = 3.31(1,24-9.42)) and the use of anti-fibrotic drugs (HR = 0.25(0.10-0.60)) as independent predictors of mortality. CONCLUSIONS: Malnutrition is common among patients with IPF and the baseline as diagnosis of IPF is strongly related to increased mortality.

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BACKGROUND: Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting malnutrition and muscle health in a well-characterised oncology population at nutritional risk. METHODS: This preplanned secondary analysis included patients with cancer from a Swiss-wide, randomised-controlled nutritional trial. We investigated associations among malnutrition markers (i.e., malnutrition diagnosis based on modified Global Leadership Initiative on Malnutrition (GLIM) criteria, albumin concentration) and muscle health markers (i.e., hand grip strength, computed tomography (CT)-based muscle mass and radiodensity) with 180-day all-cause mortality (primary outcome). RESULTS: We included 269 patients with a main admission diagnosis of cancer and available CT scans. In a mutually adjusted model, four parameters contributed to risk assessment including modified malnutrition diagnosis (GLIM) (HR 1.78 (95%CI 1.17 to 2.69), p = 0.007, AUC 0.58), low albumin concentration (HR 1.58 (95%CI 1.08 to 2.31), p = 0.019, AUC 0.62), low handgrip strength (HR 2.05 (95%CI 1.43 to 2.93), p = 0.001, AUC 0.62) and low muscle radiodensity (HR 1.39 (95%CI 0.90 to 2.16), p = 0.139, AUC 0.63). Combining these parameters resulted in a model with high prognostic power regarding 180-day mortality (overall AUC 0.71). CONCLUSIONS: In this study of inpatients with cancer at nutritional risk, several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality. The use of these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population. TRIAL REGISTRATION: ClinicalTrials.gov, number NCT02517476.

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This study aimed to evaluate the role of the C-reactive protein-to-prealbumin (CP) ratio and the C-reactive protein-to-albumin (CA) ratio as nutritional and prognostic markers. A retrospective study was conducted on hospitalized patients who underwent a nutritional assessment and the measurement of C-reactive protein, prealbumin, and albumin (n = 274). Receiver operating characteristic (ROC) curve analysis was used. The area under the curve (AUC) of the CP ratio for predicting mortality was 0.644, 95%CI (0.571 to 0.717), and the CA ratio had an AUC of 0.593, 95%CI (0.518 to 0.669). The AUC of the CP ratio for the differential diagnosis between severe and moderate disease-related malnutrition (DRM) was 0.643, 95%CI (0.564 to 0.722), and the CA ratio had an AUC of 0.650, 95%CI (0.572 to 0.728). The CP and CA ratios showed greater accuracy in predicting mortality compared to C-reactive protein as an isolated marker (p = 0.011 and p = 0.006, respectively). Both ratios also improved the ability of prealbumin and albumin to identify severe DRM (p = 0.002 and p = 0.044, respectively). In conclusion, these results suggest that the CP and CA ratios may have a limited role in predicting mortality and identifying severe DRM by outperforming isolated protein markers.

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Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease frequently accompanied by malnutrition due to weight loss, increased energy expenditure, and muscle mass loss. This study aimed to evaluate morphofunctional assessment tools as predictors of malnutrition and to investigate their relationship with muscle status and disease severity in ALS patients. A cross-sectional study was conducted with 45 ALS patients at the San Cecilio University Hospital in Granada. Malnutrition was assessed using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Morphofunctional assessment was performed using Bioimpedance Vectorial Analysis (BIVA), handgrip strength (HGS), and Short Physical Performance Battery (SPPB). Malnutrition prevalence was 38% according to GLIM criteria. Significant differences were observed between malnourished and non-malnourished groups in age (70 ± 9 vs. 62 ± 10 years, p = 0.01), sex (female prevalence: 58.8% vs. 25.0%, p = 0.02), dysphagia prevalence (83% vs. 29%, p < 0.001), PEG/PRG use (35.3% vs. 3.6%, p = 0.01), and ALSFRS-R scores (30 ± 12 vs. 34 ± 12, p = 0.02). Malnourished patients had lower values in anthropometric measurements, muscle mass obtained by BIVA, and phase angle (PA) (4.05 ± 0.8° vs. 5.09 ± 0.8°, p < 0.001). No significant differences were found in muscle strength or functional status. PA showed significant correlations with muscle strength (r = 0.52, p < 0.001) and muscle mass measures (r = 0.48, p < 0.001). Moreover, PA was associated with poorer disease progression and physical performance. In our sample, BIVA metrics such as PA (<4.3°), SPA (<-0.8), body cell mass (<9.2 kg/m), and extracellular water (>49.75%) were identified as malnutrition risk factors. The study underscores the critical importance of comprehensive morphofunctional assessment and the use of advanced diagnostic criteria, for early identification and intervention in malnutrition among people with ALS. Further research is warranted to validate these findings and develop targeted nutritional strategies into routine clinical practice.

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The prevalence of sarcopenia (loss of muscle strength, mass and function) in individuals with heart failure (HF) stands at a considerable level (approximately 20%), contributing to heightened mortality rates and diminished quality of life. The underlying pathophysiological mechanisms involve the presence of low-grade inflammation and a disturbance of the anabolic-catabolic protein balance. The nutritional assessment of patients with HF is a key aspect, and diverse diagnostic tools are employed based on patient profiles (outpatient, inpatient and nursing home). The Global Leadership Initiative on Malnutrition (GLIM) criteria serves as a consensus for diagnosing malnutrition. Given that edema can impact body mass index (BMI) in patients with HF, alternative body assessment technical methods, such as bioelectrical vector impedance (BiVA), BIA (without vector mode), computer tomography (CT) or clinical ultrasound (US), are useful. Scientific evidence supports the efficacy of both aerobic and resistance physical exercises in ameliorating and preventing muscle wasting associated with HF. Dietary strategies emphasize the importance of protein intake, while certain micronutrients like coenzyme Q10 or intravenous iron may offer benefits. This narrative review aims to present the current understanding of the pathogenesis, diagnosis and treatment of muscle loss in individuals with heart failure and its consequential impact on prognosis.

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Care transitions from hospital to home for older adults with malnutrition present a period of elevated risk; however, minimal data exist describing the existing practice. This study aimed to describe the transition of nutrition care processes provided to older adults in a public tertiary hospital in Australia. A retrospective chart audit conducted between July and October 2022 included older (≥65 years), malnourished adults discharged to independent living. Dietetic care practices (from inpatient to six-months post-discharge) were reported descriptively. Of 3466 consecutive admissions, 345 (10%) had a diagnosis of malnutrition documented by the dietitian and were included in the analysis. The median number of dietetic visits per admission was 2.0 (IQR 1.0-4.0). Nutrition-focused discharge plans were inconsistently developed and documented. Only 10% of patients had nutrition care recommendations documented in the electronic discharge summary. Post-discharge oral nutrition supplementation was offered to 46% and accepted by 34% of the patients, while only 23% attended a follow-up appointment with dietetics within six months of hospital discharge. Most patients who are seen by dietitians and diagnosed with malnutrition appear lost in transition from hospital to home. Ongoing work is required to explore determinants of post-discharge nutrition care in this vulnerable population.

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