Individuals receiving hemodialysis are at increased risk of malnutrition; however, regular diagnosis of malnutrition using subjective global assessment (SGA) is time-consuming. This study aimed to determine whether the Canadian Nutrition Screening Tool (CNST) or the Geriatric Nutrition Risk Index (GNRI) screening tools could accurately identify hemodialysis patients at risk for malnutrition. A retrospective medical chart review was conducted for in-centre day shift hemodialysis patients (n = 95) to obtain the results of the SGA assessment and the CNST screener and to calculate the GNRI score. Sensitivity and specificity analyses showed only a fair agreement between the SGA and CNST (sensitivity = 20%; specificity 96%; κ = .210 (95% CI, -0.015 to .435), p < .05) and between the SGA and GNRI (sensitivity = 35%; specificity = 88%; κ = .248 (95% CI, .017 to .479), p < .05). There was no significant statistical difference between the accuracy of either tool in identifying patients at risk of malnutrition (p = .50). The CNST and GNRI do not accurately screen for risk of malnutrition in the hemodialysis population; therefore, further studies are needed to determine an effective malnutrition screening tool in this population.

Malnutrition significantly hampers wound healing processes. This study aimed to compare the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) and Subjective Global Assessment (SGA) in diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers (DFU). GLIM criteria were evaluated for sensitivity (SE), specificity (SP), positive predictive value, negative predictive value and kappa (κ) against SGA as the reference. Modified Poisson regression model and the DeLong test investigated the association between malnutrition and non-healing ulcers over 6 months. This retrospective cohort study included 398 patients with DFU, with a mean age of 66·3 ± 11·9 years. According to SGA and GLIM criteria, malnutrition rates were 50·8 % and 42·7 %, respectively. GLIM criteria showed a SE of 67·3 % (95 % CI 60·4 %, 73·7 %) and SP of 82·7 % (95 % CI 76·6 %, 87·7 %) in identifying malnutrition, with a positive predictive value of 80·0 % and a negative predictive value of 71·1 % (κ = 0·50) compared with SGA. Multivariate analysis demonstrated that malnutrition, as assessed by SGA, was an independent risk factor for non-healing (relative risk (RR) 1·84, 95 % CI 1·45, 2·34), whereas GLIM criteria were associated with poorer ulcer healing in patients with estimated glomerular filtration rate ≥ 60 ml/min/1·73m2 (RR: 1·46, 95 % CI 1·10, 1·94). SGA demonstrated a superior area under the receiver\'s operating characteristic curve for predicting non-healing compared with GLIM criteria (0·70 (0·65-0·75) v. 0·63 (0·58-0·65), P < 0·01). These findings suggest that both nutritional assessment tools effectively identify patients with DFU at increased risk, with SGA showing superior performance in predicting non-healing ulcers.

UNASSIGNED: Malnutrition commonly occurs in patients undergoing maintenance hemodialysis. Early detection of malnutrition could allow early interventions to prevent later complications. At present, there are not many biomarkers with high predictive value of end-stage kidney disease (ESKD)-related malnutrition, especially for early malnutrition in hemodialysis patients, which needs more in-depth research. Therefore, we performed a cross-sectional study on 97 patients to identify biomarkers for malnutrition in hemodialysis patients.
UNASSIGNED: 7-point subjective global assessment (SGA) was applied to evaluate the nutritional status of patients on hemodialysis. Serum levels of growth differentiation factor 15 (GDF15), albumin, pre-albumin, c-reactive protein (CRP), tumor necrosis factor alpha (TNF-α), hemoglobin, low density lipoprotein-cholesterol, and high density lipoprotein-cholesterol were detected before hemodialysis. Logistic analysis and linear regression were used to analyze the association between GDF15 levels and the SGA score after adjustment for basic characteristics and laboratory findings.
UNASSIGNED: Among the 97 patients on hemodialysis, 51 had malnutrition (SGA < 6). There was no difference between the malnourished and well nourished (SGA ≥ 6) groups for dialysis duration, cholesterol, CRP, TNF-α, and hemoglobin. The malnutrition group had significantly lower grip strength (p < 0.05). GDF15 levels correlated negatively with the SGA score after adjustment for possible confounding factors [rho (male) = -0.312, rho(female)= -0.437;P(male) = 0.0181, P(female) = 0.005], and might contribute to the malnutritional status, the AUCs of GDF15 for malnutrition was 0.697 (p = 0.011) in male and 0.828 (p < 0.001) in female.
UNASSIGNED: GDF15 is associated with malnutrition according to the SGA score in patients with ESKD on hemodialysis, suggesting that GDF15 might be involved in the pathogenesis of malnutrition patients with ESKD in this setting. Furthermore, GDF15 is likely to be a potential diagnostic biomarker for malnutrition according to the SGA score.

Background Poor nutritional status may lead to longer hospital stays, increased mortality and morbidity, increased cost, and higher suffering. Nosocomial infections (NI) are a global health concern, and several risk factors are associated with their higher incidence. This study aimed to reveal that compromised nutritional status is one of the risk factors for developing NIs. Methodology The study was conducted in a tertiary care hospital in Pune, India. This was a prospective cohort study with a sample size of 200 hospitalized participants. Data collection was based on standard tools and structured forms which had two parts. In the first part, the assessment of nutritional status was done for which patients were categorized into two groups, namely, well-nourished and undernourished. Additionally, biochemical parameters (serum albumin) were also assessed. The second part included a follow-up of participants to evaluate the development of NIs including their laboratory investigation. Results were analyzed statistically using R software. Results Among 200 participants, 60 were female, of whom 15% developed NIs. Of the 140 males, 8% had NIs. Among 200 participants, 101 (51%) were well-nourished, of whom two (2%) developed NIs. Of the 99 (49%) undernourished participants, 18 (18%) had NIs. Those who were undernourished (univariate relative risk = 6.10, 95% confidence interval) were more prone to developing NIs compared to the well-nourished group. Conclusions NIs are widespread globally but are less studied and given less emphasis in developing countries. This study reports various types of NIs along with their incidence in well-nourished and undernourished groups. The incidence of NI observed in this study may reflect the higher severity of illness, age, poor nutritional status, and longer hospital stays. Identifying risk factors that can contribute to developing NI may help in their prevention by maximizing patient safety.

Background Malnutrition in hospitalized patients is a significant problem. This study aimed to assess the utility of the Subjective Global Assessment (SGA) in predicting the association between serum biomarkers and malnutrition in patients with limb injuries as well as the impact of malnutrition on clinical and radiological bone healing. Methodology This prospective study included 93 patients with limb injuries. Basic demographic details, serum biomarker levels, nutritional status assessed using the SGA, and the correlation of the Radiological Union Shaft Tibia (RUST) score with nutrition status were assessed along with the secondary outcomes. Results According to the SGA, patients were classified into Group A (well-nourished), Group B (moderately malnourished), and Group C (severely malnourished). Serum biomarkers (albumin, hemoglobin, platelets, and total leucocyte count) were significantly higher in Group A than in Group B + C (p < 0.0001). The nutritional status of patients from admission up to six months in Group A was significantly higher (p < 0.0001) compared to Group B + C. The radiological healing according to the RUST score had a negative correlation with C-reactive protein and a positive correlation with various parameters at six months. Conclusions The serum biomarker levels and the clinical and radiological bone healing, as measured by the RUST scoring system, showed a positive correlation with the nutritional status of the patients. Malnutrition significantly increases the chance of developing complications such as wound infection, decubitus, and infected implants.

OBJECTIVE: The Global Leadership Initiative on Malnutrition (GLIM) criteria establish a diagnosis of malnutrition based on the presence of at least one phenotypic and one etiologic criterion. This study aimed to assess the concurrent and predictive validity of the GLIM criteria in hospitalized cancer patients.
METHODS: This is an observational retrospective study, including 885 cancer patients, ages >18 y, admitted to a medical oncology inpatient unit between 2019 and 2020. All patients at risk for malnutrition according to the Nutritional Risk Screening 2002 score were assessed by the subjective global assessment (SGA) and 14 different combinations of the GLIM criteria. The SGA was considered the gold standard for assessing the concurrent validity of the GLIM combinations. For a subsample of patients with data available on inflammatory markers (n = 198), the serum albumin and C-reactive protein were included in the combinations as etiologic criteria. The predictive validity of the different combinations was tested using the occurrence of surgical complications as the clinical outcome. The sensitivity and specificity values were calculated to assess the concurrent validity, univariate and multivariate logistic regression models were used to test predictive validity. Adequate concurrent and predictive validity were determined as sensitivity and specificity values >80% and odds ratio values ≥2.0, respectively.
RESULTS: The median age of the patients was 61.0 y (interquartile range = 51.0-70.0). Head and neck cancer was the prevailing diagnosis and 375 patients were at nutritional risk. According to the SGA, 173 (26.1%) patients were malnourished (SGA categories B or C) and the prevalence of malnutrition ranged from 3.9% to 30.0%, according to the GLIM combinations. None of the tested combinations reached adequate concurrent validity; however, the presence of malnutrition according to four combinations independently predicted surgical complications.
CONCLUSIONS: The predictive validity of the GLIM was satisfactory in surgical cancer patients.

Malnutrition is a risk factor for disease progression and poor prognosis in chronic kidney disease (CKD). However, the complexity of nutritional status assessment limits its clinical application. This study explored a new method of nutritional assessment in CKD (stage 1-5) patients using the Subjective Global Assessment (SGA) as the gold standard and evaluated its applicability. The kappa test was used to analyze the consistency of the Renal Inpatient Nutrition Screening Tool (Renal iNUT) with SGA and protein-energy wasting. Logistic regression analysis was used to analyze the risk factors of CKD malnutrition and calculate the prediction probability of multiple indicators combined for the diagnosis of CKD malnutrition. The receiver operating characteristic curve of the prediction probability was drawn to evaluate its diagnostic efficiency. A total of 161 CKD patients were included in this study. The prevalence of malnutrition according to SGA was 19.9%. The results showed that Renal iNUT had a moderate consistency with SGA and a general consistency with protein-energy wasting. Age > 60 years (odds ratio, OR = 6.78), neutrophil-lymphocyte ratio > 2.62 (OR = 3.862), transferrin < 200 mg/dL (OR = 4.222), phase angle < 4.5° (OR = 7.478), and body fat percentage < 10% (OR = 19.119) were risk factors for malnutrition in patients with CKD. The area under the receiver operating characteristic curve of multiple indicators for the diagnosis of CKD malnutrition was 0.89 (95% confidence interval: 0.834-0.946, p < 0.001). This study demonstrated that Renal iNUT has good specificity as a new tool for the nutrition screening of CKD patients, but its sensitivity needs to be optimized. Advanced age, high neutrophil-lymphocyte ratio, low transferrin level, low phase angle, and low body fat percentage are risk factors for malnutrition in patients with CKD. The combination of the above indicators has high diagnostic efficiency in the diagnosis of CKD malnutrition, which may be an objective, simple, and reliable method to evaluate the nutritional status of patients with CKD.

UNASSIGNED: Malnutrition in cancer patients reduces response to chemotherapy, increases the hospitalization costs, hospital infections, and deaths. The aim of this study was to determine the prevalence, level of malnutrition, and its related factors in cancer patients at a local hospital in Southern Vietnam.
UNASSIGNED: A descriptive cross-sectional study was performed on all 118 cancer patients who were undergoing inpatient treatment at Long An General Hospital, Vietnam from May to September 2020. Data were collected from patients by face-to-face interviewing using a subjective global assessment (SGA) and from medical records. Malnutrition is divided into three groups: SGA-A (normal), SGA-B (mild/moderate/suspected malnutrition), SGA-C (severe malnutrition). Multivariable logistic regression is used to identify factors related to malnutrition with statistical significance p < 0.05.
UNASSIGNED: Out of 118 participants, 72 (61.0%) were males and 84 (71.2%) aged ⩾60 years. The prevalence of malnutrition in cancer patients was 84.7% (100/118), in which 33% (39/118) were severe (SGA-C) and 51.7% (61/118) were mild-moderate (SGA-B). Pancreatic and lung cancers are the most malnourished. The results of multivariate logistic regression analysis showed that the factors related to malnutrition in cancer patients were gastrointestinal symptoms lasting 2 weeks (odds ratio: 6.10, 95% confidence interval: 1.12-33.35), patients with decreased motor function (odds ratio: 13.73, 95% confidence interval: 2.56-73.86), blood albumin <35 g/l (odds ratio: 6.42, 95% confidence interval: 1.54-26.82), and blood lymphocyte ⩽ 1700 cells/mm3 (odds ratio: 5.36, 95% confidence interval: 1.31-21.97).
UNASSIGNED: There was a high proportion of malnutrition in cancer patients. Therefore, it is necessary to strengthen nutrition counseling and intervention for these patients, especially those that have prolonged gastrointestinal symptoms, reduced motor function, and low blood albumin or low blood lymphocytes.

The objective of our study is to determine the prevalence of malnutrition in elderly patients with fragility hip fractures through different diagnostic tools and to determine which nutritional assessment tool better predicts mortality.
METHODS: This is a prospective study in patients over 65 years of age hospitalized with a diagnosis of hip fracture. A nutritional assessment was performed using several tools: the Mini Nutritional Assessment Short Form (MNA-SF), the Subjective Global Assessment (SGA), and the GLIM criteria. For the definition of low muscle mass, four different methods were used: hand grip strength (HGS), calf circumference (CC), anthropometry, and bioelectrical impedance (BIA). Mortality was registered at three, six and twelve months.
RESULTS: 300 patients were included, 79.3% female, mean age 82.9 ± 7.1 years. The MNA-SF found 42% at risk of malnutrition, and 37.3% malnourished. Using SGA, there were 44% with moderate malnutrition, and 21.7% with severe malnutrition. In application of the GLIM criteria, 84.3%, 47%, 46%, and 72.7% of patients were malnourished when HGS, anthropometry, BIA, and CC were used, respectively. Mortality was 10%, 16.3% and 22% at 3, 6 and 12 months, respectively. In malnourished patients according to MNA-SF, mortality was 5.7 times greater [95%CI 1.3-25.4; p = 0.022] at 6 months and 3.8 times greater [95%CI 1.3-11.6; p = 0.018] at 12 months. In malnourished patients according to SGA, mortality was 3.6 times greater [95%CI 1.02-13.04; p = 0.047] at 3 months, 3.4 times greater [95%CI 1.3-8.6; p = 0.012] at 6 months and 3 times greater [95%CI 1.35-6.7; p = 0.007] at 12 months.
CONCLUSIONS: The prevalence of malnutrition in patients admitted for fragility hip fracture is high. The SGA and MNA-SF are postulated as adequate tools to diagnose malnutrition in these patients, with predictive value for mortality at three, six, and twelve months.

This study aimed to assess malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and Subjective Global Assessment (SGA) at baseline and determine the GLIM criteria that best predicted unplanned hospitalization in outpatients with unintentional weight loss (UWL).
We performed a retrospective cohort study of 257 adult outpatients with UWL. The GLIM criteria and SGA agreement were reported using the Cohen kappa coefficient. Kaplan-Meier survival curves and adjusted Cox regression analyses were used for survival data. Logistic regression was used for the other correlation analysis.
This study collected data from 257 patients for 2 years. Based on the GLIM criteria and SGA, malnutrition prevalence was 79.0% and 72.0%, respectively (κ = 0.728, P < 0.001). Using the SGA as a standard, GLIM had a sensitivity of 97.8%, a specificity of 69.4%, a positive predictive value of 89.2%, and a negative predictive value of 92.6%. Malnutrition was associated with higher rates of unplanned hospital admission independent of other prognostic factors (GLIM: hazard ratio [HR]=2.85, 95% CI=1.22-6.68; SGA: HR=2.07, 95% CI=1.13-3.79). Of the five GLIM criteria-related diagnostic combinations, disease burden or inflammation was the most important to predict unplanned hospital admission in multivariable analysis (HR=3.27, 95% CI=2.03-5.28).
There was good agreement between the GLIM criteria and the SGA. GLIM-defined malnutrition, as well as all five GLIM criteria-related diagnosis combinations, had the potential to predict unplanned hospital admissions in outpatients with UWL within 2 years.