UNASSIGNED: To validate the role of the albumin-derived neutrophil-to-lymphocyte (ALB-dNLR) score in diagnosing malnutrition in medical inpatients over 70 years old.
UNASSIGNED: This is a retrospective cross-sectional study involving 7 departments from 14 Chinese hospitals. The ALB-dNLR score was calculated, and outcomes between groups with positive and negative ALB-dNLR scores were compared after propensity score matching (PSM). Afterwards, the outcomes were compared between the groups receiving nutrition support and those not receiving support among malnourished patients diagnosed using the Global Leadership Initiative Malnutrition (GLIM) criteria after PSM.
UNASSIGNED: Out of 10,184 cases, 6165 were eligible. 2200 cases were in the positive ALB-dNLR score group. After PSM, 1458 pairs were analyzed, showing lower in-hospital mortality (0.8 % vs. 2.1 %, p = 0.005) and a lower nosocomial infection rate (5.9 % vs. 11.0 %, p < 0.001) in the negative ALB-dNLR score group. In malnourished patients, 259 pairs were analyzed after PSM. It showed better outcomes in mortality (0.8 % vs. 3.5 %, p = 0.033), nosocomial infection rate (5.4 % vs. 15.4 %, p < 0.001), length of stay (LOS) (13.8 ± 10.3 vs. 18.4 ± 14.1, p < 0.001), and total hospital cost (3315.3 ± 2946.4 vs. 4795.3 ± 4198.2, p < 0.001) in the support group. In malnourished patients with ALB-dNLR score as the sole etiological criterion, 94 pairs were calculated. It showed better outcomes in mortality (0.0 % vs. 6.4 %, p = 0.029), nosocomial infection rate (7.4 % vs. 18.1 %, p = 0.029), LOS (13.7 ± 8.3 vs. 19.8 ± 15.2, p = 0.001), and total hospital cost (3379.3 ± 2955.6 vs. 4471.2 ± 4782.4, p = 0.029) in the support group.
UNASSIGNED: The ALB-dNLR score was validated to predict in-hospital mortality in medical inpatients over 70 years old. Malnutrition patients diagnosed by the GLIM criteria and using the ALB-dNLR score might benefit from nutrition support.

BACKGROUND: Preexisting malnutrition in critically ill patients is associated with adverse clinical outcomes. Malnutrition can be diagnosed with the Global Leadership Initiative on Malnutrition using parameters such as weight loss, muscle wasting, and BMI. International critical care nutrition guidelines recommend high protein treatment to improve clinical outcomes in critically ill patients diagnosed with preexisting malnutrition. However, this recommendation is based on expert opinion.
OBJECTIVE: In critically ill patients, what is the association between preexisting malnutrition and time to discharge alive (TTDA), and does high protein treatment modify this association?
METHODS: This multicenter randomized controlled trial involving 16 countries was designed to investigate the effects of high vs usual protein treatment in 1,301 critically ill patients. The primary outcome was TTDA. Multivariable regression was used to identify if preexisting malnutrition was associated with TTDA and if protein delivery modified their association.
RESULTS: The prevalence of preexisting malnutrition was 43.8%, and the cumulative incidence of live hospital discharge by day 60 was 41.2% vs 52.9% in the groups with and without preexisting malnutrition, respectively. The average protein delivery in the high vs usual treatment groups was 1.6 g/kg per day vs 0.9 g/kg per day. Preexisting malnutrition was independently associated with slower TTDA (adjusted hazard ratio, 0.81; 95% CI, 0.67-0.98). However, high protein treatment in patients with and without preexisting malnutrition was not associated with TTDA (adjusted hazard ratios of 0.84 [95% CI, 0.63-1.11] and 0.97 [95% CI, 0.77-1.21]). Furthermore, no effect modification was observed (ratio of adjusted hazard ratio, 0.84; 95% CI, 0.58-1.20).
CONCLUSIONS: Malnutrition was associated with slower TTDA, but high protein treatment did not modify the association. These findings challenge current international critical care nutrition guidelines.
BACKGROUND: ClinicalTrials.gov; No.: NCT03160547; URL: www.
RESULTS: gov.

There is an overlap between the risk factors causing low intake of water and low intake of nutrients, respectively. This study aims to explore the agreement between the assessment of malnutrition and the outcome of low-intake dehydration in a population of older hospitalized patients.
Patients ≥65 years old and hospitalized at the geriatric hospital ward were screened for eligibility within 96 h of admission. Dehydration was assessed with the calculated serum osmolarity ≥295 mmol/L (1.86 × (Na+ + K+) + 1.15 × glucose + urea + 14), and (risk of) malnutrition was assessed with NRS-2002 ≥ 3 points, MNA-SF ≤ 7 points, MNA-LF < 17, MUST ≥ 2 points, and GLIM after screening with NRS-2002 and MNA-LF. Follow-up data regarding exercise rehabilitation, readmissions, and mortality was collected 30 days after discharge. Statistics used were the Chi-squared test, Fishers-exact test, and Wilcoxon signed rank test.
A total of 114 patients (57% females) were included. Median age 85.5 (IQR 80; 89.25) years. A total of 49 (43%) were dehydrated. Fewer females were dehydrated (F: 42.9% vs. M: 67.7%, p = 0.013). The patients with osmolarity ≥295 mmol/L had a higher median weight (68.3 (IQR 58.5; 78.4) vs. 62 (IQR 51.8; 72.1), p = 0.021) and mid-up-arm circumference (27 (IQR 26; 30) vs. 25.5 (IQR 22.9; 28.3), p = 0.004). No significant difference was found in the prevalence of malnutrition between those with or without dehydration (NRS-2002; 70% vs. 81%, p = 0.174; MNA-SF: 23.1 vs. 23.2%, p = 1.0; MNA-LF: 37.1 vs. 30.2%, p = 0.644; MUST: 24.5 vs. 33.8%, p = 0.308; GLIM after screening with NRS-2002: 84.4 vs. 74.5%, p = 0.405, GLIM after screening with MNA-LF: 74.1 vs. 75.6%, p = 0.438). Kappa values varied around 0 and reflected low agreement. There were no differences in the follow-up data, between those who were normohydrated and those who were dehydrated.
We found low agreement between the assessment of malnutrition and low-intake dehydration in a population of older hospitalized patients. All geriatric patients should therefore be assessed for both conditions.

Malnutrition is a well-known risk factor for morbidity and mortality in many clinical settings and only few studies assessed the role of malnutrition on systemic sclerosis (SSc) patients\' outcomes. The aim of this retrospective study was to evaluate the role of malnutrition as a predictive risk factor for mortality and/or hospitalization in SSc patients during a 4-year follow-up.
One hundred and one SSc patients were included in the study. Biochemical analyses, disease activity index, disease severity scale and anthropometric data were recorded at enrollment. Malnutrition was assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria.
Malnutrition according to GLIM criteria was found in 22 patients (21.8%). During a 4-year follow-up, 20 (19.8%) SSc patients died or were hospitalized for all causes and 11 of them (55.0%) were malnourished. Kaplan-Meier curves showed that event free-survival for composite end-point of mortality and risk of hospitalization was significantly shorter in malnourished than in non-malnourished patients (p<0.001). The survival probability at 4 years was 0.885 (95% CI=0.818-0.959) in the non-malnourished group and 0.500 (95% CI=0.329-0.759) in the malnourished group (p<0.001). In multivariate analysis, malnutrition [HR=4.380 (95% CI=1.706-11.243), p = 0.002] was the most significant predictive risk factor for the composite end-point. Also, female gender [HR=0.157 (95% CI=0.055-0.449), p<0.001], age [HR=1.0450 (95% CI=1.011-1.090), p = 0.012] and disease severity scale [HR=1.269 (95% CI=1.089-1.479), p = 0.002] were predictive factors for the composite end-point.
Malnutrition according to GLIM criteria represents a significant predictive risk factor for composite end-point of mortality and risk of hospitalization in SSc patients.

Malnutrition is frequent in patients with chronic kidney disease (CKD) and has a negative impact on morbidity, mortality, and quality of life. The objective of this study was to assess the value of the Global Leadership Initiative for Malnutrition (GLIM) criteria to predict hospitalizations and mortality in candidates to kidney transplant during their first year on the waiting list.
This was a post hoc analysis of 368 patients with advanced CKD. The main study variables were malnutrition, according to the GLIM criteria; number of hospital admissions during the first year on the waiting list; and mortality at the end of follow-up. Kaplan-Meier survival curves and binary logistic regression were performed, adjusting for age, frailty status, handgrip strength, and Charlson Index as potential confounders.
The prevalence of malnutrition was 32.6%. Malnutrition was associated with increased risk of hospitalizations during the first year on the waiting list (odds ratio [OR] = 3.33 [95% CI = 1.34-8.26]), which persisted after adjustment for age and frailty status (adjusted OR = 3.61 [95% CI = 1.38-10.7]), age and handgrip strength (adjusted OR = 3.39 [95% CI = 1.3-8.85]), and age and Charlson Index (adjusted OR = 3.25 [95% CI = 1.29-8.13]).
Malnutrition according to the GLIM criteria was highly prevalent in patients with CKD and was associated with a threefold increased risk of hospitalizations during the first year on the waiting list; these associations remained significant after adjusting for age, frailty status, handgrip strength, and comorbidities.

Malnutrition is a prevalent condition among older patients and is associated with worse clinical outcomes. Methods such as the Subjective Global Assessment (SGA), the Mini Nutritional Assessment Long Form (MNA-LF), and the Global Leadership Initiative on Malnutrition (GLIM) diagnose malnutrition early. This study aimed to evaluate the performance and validity of these instruments to predict the length of hospital stay (LOS) and in-hospital mortality in older surgical patients.
This prospective cohort study was performed in hospitalized older surgical patients. In the first 48 h of admission, general data were collected, and patients were evaluated by SGA, MNA-LF, and GLIM using calf circumference (CC) and mid-upper arm circumference (MUAC) as phenotypic criteria for nutrition diagnoses. Accuracy tests and regression analysis adjusted for sex, type of surgery, and the Charlson Comorbidity Index adjusted for age were performed to assess the criterion validity of instruments to predict LOS and mortality.
A total of 214 patients (age 75.4 ± 6.6 years, 57.3% men, and 71.1% admitted to elective surgery) were evaluated. Malnutrition was diagnosed in 39.7% (SGA), 63% (MNA-LF), 41.6% (GLIMCC ), and 32.1% (GLIMMUAC ) of patients. GLIMCC had the best accuracy (AUC = 0.70; 95% CI, 0.63-0.79) and sensitivity (95.8%) to predict in-hospital mortality. In the adjusted analysis, malnutrition, according to SGA, MNA-LF, and GLIMCC , increased the risk of in-hospital mortality by 3.12 (95% CI, 1.08-11.34), 4.51 (95% CI, 1.29-17.61), and 4.83 (95% CI, 1.52-15.22), respectively.
GLIMCC had the best performance and satisfactory criterion validity to predict in-hospital mortality in older surgical patients.

Older patients are at an increased risk of malnutrition due to many factors related to poor clinical outcomes.
This study aims to develop an assisted diagnosis model using machine learning (ML) for identifying older patients with malnutrition and providing the focus of individualized treatment.
We reanalyzed a multicenter, observational cohort study including 2660 older patients. Baseline malnutrition was defined using the global leadership initiative on malnutrition (GLIM) criteria, and the study population was randomly divided into a derivation group (2128/2660, 80%) and a validation group (532/2660, 20%). We applied 5 ML algorithms and further explored the relationship between features and the risk of malnutrition by using the Shapley additive explanations visualization method.
The proposed ML models were capable to identify older patients with malnutrition. In the external validation cohort, the top 3 models by the area under the receiver operating characteristic curve were light gradient boosting machine (92.1%), extreme gradient boosting (91.9%), and the random forest model (91.5%). Additionally, the analysis of the importance of features revealed that BMI, weight loss, and calf circumference were the strongest predictors to affect GLIM. A BMI of below 21 kg/m2 was associated with a higher risk of GLIM in older people.
We developed ML models for assisting diagnosis of malnutrition based on the GLIM criteria. The cutoff values of laboratory tests generated by Shapley additive explanations could provide references for the identification of malnutrition.
Chinese Clinical Trial Registry ChiCTR-EPC-14005253; https://www.chictr.org.cn/showproj.aspx?proj=9542.

Malnutrition has a negative impact on patients with chronic diseases and its early identification is a priority. The primary objective of this diagnostic accuracy study was to assess the performance of the phase angle (PhA), a bioimpedance analysis (BIA)-derived parameter, for malnutrition screening using the Global Leadership Initiative for Malnutrition (GLIM) criteria as the reference standard in patients with advanced chronic kidney disease (CKD) waiting for kidney transplantation (KT); criteria associated with low PhA in this population were also analyzed. Sensitivity, specificity, accuracy, positive and negative likelihood ratios, predictive values, and area under the receiver operating characteristic curve were calculated for PhA (index test) and compared with GLIM criteria (reference standard). Of 63 patients (62.9 years old; 76.2% men), 22 (34.9%) had malnutrition. The PhA threshold with the highest accuracy was ≤4.85° (sensitivity 72.7%, specificity 65.9%, and positive and negative likelihood ratios 2.13 and 0.41, respectively). A PhA ≤ 4.85° was associated with a 3.5-fold higher malnutrition risk (OR = 3.53 (CI95% 1.0-12.1)). Considering the GLIM criteria as the reference standard, a PhA ≤ 4.85° showed only fair validity for detecting malnutrition, and thus cannot be recommended as a stand-alone screening tool in this population.

To investigate associations between nutrition risk (determined by SCREEN-II) and malnutrition (diagnosed by the GLIM criteria) with five-year mortality in Māori and non-Māori of advanced age.
A longitudinal cohort study.
Bay of Plenty and Lakes regions of New Zealand.
255 Māori; 400 non-Māori octogenarians.
All participants were screened for nutrition risk using the Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN-II). Those at high nutrition risk (SCREEN-II score <49) had the Global Leadership Initiative in Malnutrition (GLIM) criteria applied to diagnose malnutrition or not. Demographic, physical and health characteristics were obtained by trained research nurses using a standardised questionnaire. Five-year mortality was calculated from Government data. The association of nutrition risk (SCREEN-II) and a malnutrition diagnosis (GLIM) with five-year mortality was examined using logistic regression and cox proportional hazard models of increasing complexity.
56% of Māori and 46% of non-Māori participants had low SCREEN-II scores indicative of nutrition risk. The prevalence of GLIM diagnosed malnutrition was lower for both Māori and non-Māori (15% and 19% of all participants). Approximately one-third of participants (37% Māori and 32% non-Māori) died within the five-year follow-up period. The odds of death for both Māori and non-Māori was significantly lower with greater SCREEN II scores (better nutrition status), (OR (95% CI); 0.58 (0.38, 0.88), P < 0.05 and 0.53 (0.38, 0.75), P < 0.001, respectively). GLIM diagnosed malnutrition was not significantly associated with five-year mortality for Māori (OR (95% CI); 0.88 (0.41, 1.91), P >0.05) but was for non-Māori. This association remained significant after adjustment for other predictors of death (OR (95% CI); 0.50 (0.29, 0.86), P< 0.05). Reduced food intake was the only GLIM criterion predictive of five-year mortality for Māori (HR (95% CI); 10.77 (4.76, 24.38), P <0.001). For non-Māori, both aetiologic and phenotypic GLIM criteria were associated with five-year mortality.
Nutrition risk, but not malnutrition diagnosed by the GLIM criteria was significantly associated with mortality for Māori. Conversely, both nutrition risk and malnutrition were significantly associated with mortality for non-Māori. Appropriate phenotypic criteria for diverse populations are needed within the GLIM framework.

Systemic sclerosis (SSc) is a rare autoimmune disease characterized by microvascular damage and fibrosis of the skin and internal organs. Among SSc complications, changes in nutritional status have a negative effect on quality of life and predispose patients to malnutrition. The aim of this exploratory pilot study was to examine whether bioelectrical impedance analysis-derived phase angle (PhA) is a parameter of nutritional status and a marker of mortality in patients with SSc.
Consecutive adult patients with SSc were included in the study. Biochemical analyses, anthropometric data, and bioelectrical impedance analysis assessments were recorded at the time of enrollment. The Malnutrition Universal Screening Tool (MUST) and Global Leadership Initiative on Malnutrition (GLIM) were applied to assess nutritional status.
A total of 104 patients with SSc (88 women; median age: 55 y [interquartile range (IQR), 45.5- 66 y]) were enrolled. In patients with SSc and high malnutrition risk according to MUST, mean values of PhA were significantly lower than those of patients with SSc and low malnutrition risk (4° [IQR, 3.7°-4.4°] vs 4.6° [IQR, 4.2°-5.1°]; P = 0.004). Patients with SSc and malnutrition according to the GLIM criteria showed significantly lower PhA than patients with SSc but without malnutrition (3.8° [IQR, 3.5°-4.3°] vs 4.6° [IQR, 4.2°-5.1°]; P < 0.0001). Kaplan-Meier curves demonstrated that overall survival was significantly shorter (34.57 mo [±13.35] vs 48 mo [±0]; P = 0.001) in patients with SSc and PhA <3.75°. In the multivariate analysis, only PhA was a predictive factor for death (hazard ratio: 0.283; 95% confidence interval, 0.083-0.965; P = 0.044).
The data obtained suggest that lower PhA values in patients with SSc are associated with an increased malnutrition risk with MUST, malnutrition with GLIM, and increased mortality. Additional studies are necessary to confirm these preliminary results.