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.

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.

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.

UNASSIGNED: The objective of this study is to investigate the incidence of low lean tissue index (LTI) and the risk factors for low LTI in peritoneal dialysis (PD) patients, including to establish risk prediction models.
UNASSIGNED: A total of 104 PD patients were enrolled from October 2019 to 2021. LTI was measured by bioimpedance spectroscopy. Multivariate logistic regression and machine learning were used to analyze the risk factors for low LTI in PD patients. Kaplan-Meier analysis was used to analyze the survival rate of patients with low LTI.
UNASSIGNED: The interleukin-6 (IL-6) level, red cell distribution width (RDW), overhydration, body mass index (BMI), and the subjective global assessment (SGA) rating significantly differed between the low LTI and normal LTI groups (all p < 0.05). Multivariate logistic regression showed that IL-6 (1.10 [95% CI: 1.02-1.18]), RDW (1.87 [95% CI: 1.18-2.97]), BMI (0.97 [95% CI: 0.68-0.91]), and the SGA rating (6.33 [95% CI: 1.59-25.30]) were independent risk factors for LTI. Cox regression analysis showed that low LTI (HR 3.14, [95% CI: 1.12-8.80]) was the only significant risk factor for all-cause death in peritoneal dialysis patients. The decision process to predict the incidence of low LTI in PD patients was established by machine learning, and the area under the curve of internal validation was 0.6349.
UNASSIGNED: Low LTI is closely related to mortality in PD patients. Microinflammatory status, high RDW, low BMI and low SGA rating are risk factors for low LTI in PD patients. The developed prediction model may serve as a useful tool for assessing low LTI in PD patients.

Reliable and valid predictors of malnutrition in patients with cirrhosis remain scarce, especially easily accessible blood indicators. Thus, this study aimed to investigate the validity of the sarcopenia index (serum creatinine/serum cystatin C × 100) as a tool in assessing the nutritional status of patients with cirrhosis.
This prospective cohort study included 109 patients with cirrhosis who were hospitalised in Renmin Hospital of Wuhan University from August 2020 to June 2021. Malnutrition was diagnosed by the Global Leadership Initiative on Malnutrition criteria. Multivariable logistic regression was used to examine the relationship between sarcopenia index and malnutrition. The area under the receiver operating characteristic curve was used to evaluate the diagnostic performance of sarcopenia index. By contrast, we evaluated the subjective global assessment and traditional nutrition-related indicators.
Of the 109 included patients, 71 (65.1%) were diagnosed with malnutrition. The sarcopenia index was significantly lower in malnourished patients (56.39 ± 15.23) compared with well-nourished patients (74.95 ± 13.18, p < 0.001). In addition, the sarcopenia index was independently correlated with malnutrition (p < 0.001). The sarcopenia index was a good tool to predict malnutrition (area under curve = 0.833), which performed better than the subjective global assessment (area under curve = 0.782) and cholinesterase (area under curve = 0.812). A low sarcopenia index indicated longer hospital stay and higher risk of 90-day re-hospitalisation.
Malnutrition is highly prevalent in this population. The sarcopenia index seems to be a good predictor in nutritional assessment of patients with cirrhosis.

To compare the association of geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) scores with malnutrition, and to study their association with clinical outcomes in older adult cancer patients.
This retrospective analysis was conducted on 854 older adult cancer patients collected from 34 hospitals in 18 cities in China between June and September 2014. Anthropometric and hematological examination results at admission were collected, and subjective global assessment was used. Clinical outcomes, such as complications, length of hospital stays, and hospital costs, were recorded. Receiver operating characteristic curves were used to evaluate the accuracy of the two nutritional assessment tools for malnutrition. The association between GNRI and CONUT score and clinical outcomes was analyzed using the chi-square test, t-test, or rank sum test.
Among 854 patients with cancer, the prevalence of malnutrition was 42.7%. Compared with subjective global assessment, the GNRI had a significantly higher accuracy than the CONUT score in predicting malnutrition (area under the curve 0.704, 95% confidence interval, 0.658 - 0.750, P < 0.001). The GNRI was significantly associated with the occurrence of complications (χ2 = 4.985, P = 0.026), and low GNRI (≤98) was associated with a longer length of hospital stay (t = -2.179, P = 0.030).
The GNRI may be used to assess malnutrition in older adult cancer patients and can predict poor clinical outcomes in these patients.

Background: Malnutrition is prevalent among patients with cancer. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing malnutrition in 2019. The objectives of this study were to assess the prevalence of malnutrition in patients with cancer using the GLIM criteria, explore the correlation between the GLIM criteria, and clinical outcomes, and compare the GLIM criteria with subjective global assessment (SGA). Methods: This retrospective analysis was conducted on 2,388 patients with cancer enrolled in a multicenter study. Nutritional risk was screened using the Nutritional Risk Screening-2002, and the nutritional status was assessed using SGA and GLIM criteria. Chi-square analysis and Wilcoxon rank sum test, stratified by age 65 years, were used to evaluate the effect of GLIM-defined malnutrition on clinical outcomes. Logistic regression analysis was used to analyze the nutritional status and complications, and the interrater reliability was measured using a kappa test. Results: The prevalence of malnutrition defined by the GLIM criteria was 38.9% (929/2,388). GLIM-defined malnutrition was significantly associated with in-hospital mortality (P = 0.001) and length of hospital stays (P = 0.001). Multivariate logistic regression analysis showed GLIM-defined malnutrition significantly increased complications (odds ratio [OR] 1.716, 95% CI 1.227-2.400, P = 0.002). The GLIM criteria had a \"moderate agreement\" (kappa = 0.426) compared with the SGA. Conclusions: The prevalence of malnutrition in hospitalized patients with cancer is high, and malnourishment in patients with cancer is associated with poorer clinical outcomes. The use of the GLIM criteria in assessing the nutritional status of inpatients with cancer is recommended and can be used as the basis for nutritional interventions.

Currently in China, out of the total dialysis population, approximately 20% represents continuous ambulatory peritoneal dialysis (CAPD) and almost half of CAPD patients was affected by malnutrition. This study aimed to investigate the association between nutritional predictors and malnutrition with 5.1 years of dialysis according to the subjective global assessment (SGA) in continuous ambulatory peritoneal dialysis (CAPD) patients.
A cross-sectional study was conducted from April 2013 to May 2018 and included 70 CAPD patients. The relationship between anthropometric and biochemical parameters with malnutrition was assessed by multiple logistic regression analysis.
The prevalence of malnutrition in CAPD patients was 52.9%. Our result revealed a 7.05-fold increased odds of malnutrition for patients with protein equivalent of total nitrogen appearance normalized to body weight (nPNA) < 1.0 g/kg per day (d) versus patients with normal nPNA (confidence interval (CI) 1.33-37.34; p < 0.05). Patients whose normalized protein catabolic rate (nPCR) was <1.2 g/(kg/d) had a significant positive association with malnutrition versus patients with normal nPCR (adjusted odds ratio (OR) 7.99; p < 0.05). Patients with dietary protein intake (DPI) < 1.0 g/(kg/d) had a higher likelihood of malnutrition than those with normal DPI (OR 12.73; p < 0.05). CAPD patients with upper arm circumference (UAC) < 23.2 cm had a high risk of malnutrition versus patients with normal UAC (OR 12.99; p < 0.05).
Our study suggested a close association between nPNA, DPI, nPCR, and UAC and malnutrition in CAPD patients. Further studies can be warranted the use of these variables as predictors and a malnutrition consequence among Chinese CAPD patients.

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.
CONCLUSIONS: 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.