Global Leadership Initiative On Malnutrition Research Articles

Malnutrition and cachexia may affect death but not functional improvement in patients with sarcopenic dysphagia.

To investigate whether two factors, malnutrition and cachexia, affect swallowing function, activities of daily living (ADL), and death in sarcopenic dysphagia. Of 467 patients enrolled in the Japanese Sarcopenic Dysphagia Database, 271 met the study eligibility criteria in a retrospective cohort study. Patients were divided into four groups based on whether they had cachexia according to the Asian Working Group for Cachexia (AWGC) criteria and malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Multivariate analyses were performed to investigate the differences in changes in the Food Intake LEVEL Scale (FILS) and Barthel Index (BI) and death after follow-up between the malnutrition and cachexia group and the other groups. The mean age was 83.7 ± 8.3years, 119 (44%) were men and 152 (56%) were women. The median FILS at baseline was 7 and the median BI was 25. A total of 120 (44%) had malnutrition only, 54 (20%) had neither cachexia nor malnutrition, 12 (4%) had cachexia only, and 85 (31%) had both cachexia and malnutrition. Multivariate analyses showed no significant difference between the change in BI (P = 0.688) and the change in FILS (P = 0.928) between the malnutrition and cachexia group and the other groups; however, death increased significantly (P = 0.010). Some patients diagnosed with cachexia were not malnourished, although many patients with cachexia were malnourished. While patients with both cachexia and malnutrition did not show significant improvement in ADL and swallowing function compared with patients without both conditions, the number of deaths increased significantly.

Association between diet quality and malnutrition: pooled results from two population-based studies in older adults

BackgroundThe role of diet quality on malnutrition in older adults is uncertain, due the paucity of the research conducted and the use of use of screening tools that did not consider phenotypic criteria of malnutrition.ObjectiveTo evaluate the association of two indices of diet quality, namely the Mediterranean Diet Adherence Screener (MEDAS) and the Alternative Healthy Eating Index (AHEI-2010), with malnutrition among community-dwelling older adults in Spain.MethodsCross-sectional analysis of data from 1921 adults aged ≥ 60 years from the Seniors-ENRICA-1 (SE-1) study, and 2652 adults aged ≥ 65 years from the Seniors-ENRICA-2 (SE-2) study. Habitual food consumption was assessed through a validated diet history. Malnutrition was defined according to the Global Leadership Initiative on Malnutrition (GLIM) phenotypic criteria. Statistical analyses were performed with logistic regression with adjustment for socioeconomic and lifestyle variables as well as for total energy and protein intake.ResultsThe prevalence of malnutrition in the SE-1 study was 9.5% (95% confidence interval: 8.2 to 10.9) and 11.7% (10.5 to 13.9) in the SE-2. Adherence to the MEDAS score was associated with lower prevalence of malnutrition [pooled odds ratio for high (≥ 9 points) vs. low adherence (< 7 points): 0.64 (0.48–0.84); p-trend < 0.001]. Higher adherence to the AHEI-2010 also showed an inverse association with malnutrition (pooled odds ratio for quartile 4 vs. 1: 0.65 (0.49–0.86); p-trend 0.006). Among the individual components, higher consumption of fish and long-chain n-3 fatty acids in MEDAS and AHEI-2010, and of vegetables and nuts and legumes in AHEI-2010, and lower intake of trans-fat and sugar-sweetened beverages and fruit juice in AHEI-2010 were independently associated with lower odds of malnutrition.ConclusionAdherence to high diet-quality patterns was associated with lower frequency of malnutrition among older adults.Clinical trial registryClinicalTrials.gov identifier: NCT02804672. June 17, 2016.; ClinicalTrials.gov NCT03541135. May 30, 2018.

Malnutrition elevates delirium and ICU stay among critically ill older adult COVID-19 patients

Background and aimMalnutrition among intensive care unit (ICU) patients is associated with a higher risk of mortality and prolonged hospitalization. However, the influence of malnutrition on severe outcomes of ICU patients with coronavirus disease 2019 (COVID-19) is unclear. By evaluating the effect of malnutrition on the outcomes of COVID-19 in the ICU in older adult patients, this study will contribute to new knowledge of assessing the nutritional status and recovery of these patients.MethodsIn the current single center prospective study, 310 critically ill COVID-19 patients with an age range of ≥65 years were recruited. Data on demographic characteristics, laboratory parameters, comorbidities, medications, and types of mechanical ventilation were collected in the first 24 h of ICU admission. Malnutrition was defined based on the two-step approach of the Global Leadership Initiative on Malnutrition (GLIM) scale at baseline. During the 45 days after the baseline, we collected data on delirium incidence, mortality, invasive mechanical ventilation (IMV) requirement, length of ICU and hospital admission, and re-hospitalization.ResultsIn this study, the prevalence of malnutrition was 63.4% among critically ill COVID-19 patients. During the 45-day follow-up, 190 (61.3%) COVID-19 deaths were recorded among the baseline 310 patients. After controlling for potential confounders, malnutrition was associated with an increased risk of delirium so malnourished COVID-19 patients had a significantly 35% higher risk of delirium than those without malnutrition (HR: 1.35, 95% CI: 1.01–1.83). Such a significant association was not for COVID-19 mortality and IMV requirement. In addition, malnutrition was associated with a significantly 84% greater odds of prolonged ICU admission (OR: 1.84, 95% CI: 1.09–3.10). No significant association was seen between malnutrition and re-hospitalization and also prolonged hospital admission.ConclusionMalnutrition was associated with an increased risk of delirium and prolonged ICU admission among critically ill older adult COVID-19 patients. Prevention, diagnosis, and treatment of malnutrition could be a key component in improving outcomes in these patients.

Prospective validation of the Global Leadership Initiative on Malnutrition criteria for identifying malnutrition in hospitals: A protocol and feasibility pilot study.

The aim of this study was to pilot a protocol for prospective validation of the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospital patients and evaluate its feasibility and patient acceptability. The validation protocol follows the GLIM consortium's rigorous methodological guidance. Protocol feasibility was assessed against criteria on recruitment (≥50%) and data collection completion (≥80%); protocol acceptability was assessed via patient satisfaction surveys and interviews. Adult inpatients in a tertiary hospital underwent four nutrition assessments (each by a different assessor); two Subjective Global Assessments (SGAs) and two GLIM assessments. All five GLIM criteria were assessed with bioelectrical impedance analysis used for muscle mass. Interrater reliability, criterion validity, and predictive validity were reported to detect trends. All primary feasibility criteria were met (consent rate 76%; data for GLIM criterion validity collected on 83% participants). Of predictive outcome data, 100% of hospital-related data, 82% of 6-month mortality data, and 39% of 6-month health-related quality of life data were collected. The mean (SD) age of participants was 61.0 ± 16.2 years, and 51.5% were male. The median (interquartile range) length of stay and body mass index were 7 (4-15) days and 25.6 (24.2-33.0) kg/m2, respectively. GLIM criteria diagnosed 70% of the patients as malnourished vs 55% with SGA. Most patients found the data collection acceptable with minimal burden. The methods outlined in this rigorous GLIM validation protocol are feasible to undertake in hospitals and acceptable to patients. This paper provides practical methodological guidance for future prospective GLIM validation studies.

Prevalence of nutritional risk and malnutrition in hospitalized patients: a retrospective, cross-sectional study of single-day screening.

Hospital malnutrition remains a significant public health issue, particularly in developing countries. The Global Leadership Initiative on Malnutrition (GLIM) proposed homogenizing criteria to standardize malnutrition diagnosis. This study aimed to retrospectively determine the prevalence of nutritional risk and malnutrition diagnoses among hospitalized patients using the Nutritional Risk Screening (NRS)-2002 screening instrument and the GLIM criteria, respectively. We conducted a retrospective, cross-sectional study from nutritional records of patients hospitalized in a single centre 2021. Nutrition data from records included medical diagnosis, gender, length of stay, age, weight, height, body mass index, weight loss, calf circumference, and middle upper arm circumference. Nutritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. The study included 616 records of patients; 52.3% (n=322) of the population were male. The prevalence of nutritional risk, according to NRS-2002, was 69.5% (n=428). Nutritional risk as well as malnutrition diagnosis according to GLIM criteria was observed in 87.8% (n=374) of patienttritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. Ws. Tools showed a strong concordance (κ= 0.732). All anthropometric data, except for height, were found to be significantly different between patients with moderate and severe malnutrition (p<0.05). Our findings highlight a high prevalence of malnutrition in this group of hospitalized patients in Mexico. NRS-2002 demonstrated good agreement with the diagnosis of malnutrition according to GLIM criteria and could be considered part of the straightforward two-step approach for malnutrition; however, further studies are needed.

Complementarity of nutrition screening with Global Leadership Initiative on Malnutrition criteria for diagnosing malnutrition in critically ill patients: A comparison study of Nutritional Risk Screening 2002 and modified Nutrition Risk in the Critically Ill Score.

Critical illness induces hypermetabolism and hypercatabolism, increasing nutrition risk (NR). Early NR identification is crucial for improving outcomes. We assessed four nutrition screening tools (NSTs) complementarity with the Global Leadership Initiative on Malnutrition (GLIM) criteria in critically ill patients. We conducted a comparative study using data from a cohort involving five intensive care units (ICUs), screening patients for NR using NRS-2002 and modified-NUTRIC tools, with three cutoffs (≥3, ≥4, ≥5), and malnutrition diagnosed by GLIM criteria. Our outcomes of interest included ICU and in-hospital mortality, ICU and hospital length of stay (LOS), and ICU readmission. We examined accuracy metrics and complementarity between NSTs and GLIM criteria about clinical outcomes through logistic regression and Cox regression. We established a four-category independent variable: NR(-)/GLIM(-) as the reference, NR(-)/GLIM(+), NR(+)/GLIM(-), and NR(+)/GLIM(+). Of the 377 patients analyzed (median age 64 years [interquartile range: 54-71] and 53.8% male), NR prevalence varied from 87% to 40.6%, whereas 64% presented malnutrition (GLIM criteria). NRS-2002 (score ≥4) showed superior accuracy for GLIM-based malnutrition. Multivariate analysis revealed mNUTRIC(+)/GLIM(+) increased >2 times in the likelihood of ICU and in-hospital mortality, ICU and hospital LOS, and ICU readmission compared with the reference group. No NST exhibited satisfactory complementarity to the GLIM criteria in our study, emphasizing the necessity for comprehensive nutrition assessment for all patients, irrespective of NR status. We recommend using mNUTRIC if the ICU team opts for nutrition screening, as it demonstrated superior prognostic value compared with NRS-2002, and applying GLIM criteria in all patients.

Effectiveness of Global Leadership Initiative on Malnutrition and Subjective Global Assessment for diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers.

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.

Clinical impact of malnutrition according to the Global Leadership Initiative on Malnutrition criteria combined with kidney dysfunction to determine mortality in inpatients

ObjectiveThe clinical impact of malnutrition based on the Global Leadership Initiative on Malnutrition (GLIM) criteria in patients with kidney dysfunction remains poorly understood. This study investigated the usefulness of GLIM criteria for malnutrition predicting mortality in patients with kidney dysfunction and different clinical renal states, including no kidney disease (NKD), acute kidney injury (AKI), and chronic kidney disease (CKD). MethodsThis single-center retrospective cohort study included 6,712 patients aged ≥18 admitted between 2018 and 2019. The relationship between the estimated glomerular filtration rate (eGFR) groups, nutritional status based on the GLIM criteria, and incidence of all-cause mortality was evaluated using multivariate Cox proportional hazards (CPH) models. Malnutrition was defined as at least one phenotype (weight loss, low body mass index (BMI), or reduced muscle mass) and one etiological criterion (reduced intake/assimilation or disease burden/inflammation). ResultsMultivariate CPH models showed that eGFR ≤29 (vs. eGFR: 60–89, adjusted HR = 1.84, 95% CI: 1.52–2.22), 30–59 (vs. eGFR: 60–89, adjusted HR = 1.40, 95% CI: 1.20–1.64), and ≥90 (vs. eGFR: 60–89, adjusted HR = 1.40, 95% CI: 1.14–1.71), moderate and severe malnutrition (vs. without malnutrition, adjusted HR = 1.38 [1.18–1.62] and 2.18 [1.86–2.54], respectively) were independently associated with the incidence of death. The all-cause mortality rate was higher in patients with malnutrition or eGFR ≤29 (adjusted HR, 3.31; 95% CI: 2.51–4.35) than in patients without malnutrition or eGFR 60–89. Furthermore, moderate and severe malnutrition (vs. no malnutrition) was independently associated with death in patients with NKD, AKI, and CKD. ConclusionMalnutrition based on the GLIM criteria was associated with increased all-cause mortality in inpatients, and malnutrition combined with kidney dysfunction was associated with a higher risk of mortality. Furthermore, patients with NKD, AKI, and CKD showed an association between malnutrition based on GLIM criteria and mortality.

Challenges in identifying malnutrition in obesity; An overview of the state of the art and directions for future research.

(Protein-energy) malnutrition in individuals living with obesity presents complex diagnostic challenges due to the distinctive physiological characteristics of obesity. This narrative review critically examines the identification of malnutrition within the population with obesity, distinguishing malnutrition in obesity from related conditions such as sarcopenic obesity. While noting some shared features, the review highlights key differences between these conditions. The review also highlights the limitations of current malnutrition screening tools, which are not designed for individuals living with obesity. These tools primarily rely on anthropometric measurements, neglecting (among others) nutrient intake assessment, which hinders accurate malnutrition detection. Additionally, this review discusses limitations in existing diagnostic criteria, including the Global Leadership Initiative on Malnutrition (GLIM) criteria, when applied to individuals living with obesity. Challenges include the identification of appropriate cut-off values for phenotypic criteria (unintentional weight loss, low body mass index and muscle mass) and aetiological criteria such as reduced food intake and inflammation for the population with obesity. Overall, this review emphasises the need for modified screening tools and diagnostic criteria to recognise and assess malnutrition in obesity, leading to improved clinical outcomes and overall wellbeing.

The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information

Background & AimsThe key step of the Global Leadership Initiative on Malnutrition (GLIM) is nutritional risk screening, while the most appropriate screening tool for colorectal cancer (CRC) patients is yet unknown. The GLIM diagnosis relies on weight loss information, and bias or even failure to recall patients’ historical weight can cause misestimates of malnutrition. We aimed to compare the suitability of several screening tools in GLIM diagnosis, and establish machine learning (ML) models to predict malnutrition in CRC patients without weight loss information. MethodsThis multicenter cohort study enrolled 4487 CRC patients. The capability of GLIM diagnoses combined with four screening tools in predicting survival probability was compared by Kaplan-Meier curves, and the most accurate one was selected as the malnutrition reference standard. Participants were randomly assigned to a training cohort (n=3365) and a validation cohort (n=1122). Several ML approaches were adopted to establish models for predicting malnutrition without weight loss data. We estimated feature importance and reserved the top 30% of variables for retraining simplified models. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity were calculated to assess and compare model performance. ResultsNRS-2002 was the most suitable screening tool for GLIM diagnosis in CRC patients, with the highest hazard ratio (1.59; 95% CI, 1.43-1.77). A total of 2076 (46.3%) patients were malnourished diagnosed by GLIM combined with NRS-2002. The simplified random forest (RF) model outperformed other models with an AUC of 0.830 (95% CI, 0.805-0.854), and accuracy, sensitivity and specificity were 0.775, 0.835 and 0.742, respectively. We deployed an online application based on the simplified RF model to accurately estimate malnutrition probability in CRC patients without weight loss information (https://zzuwtt1998.shinyapps.io/dynnomapp/). ConclusionsNutrition Risk Screening 2002 was the optimal initial nutritional risk screening tool in the GLIM process. The RF model outperformed other models, and an online prediction tool was developed to properly identify patients at high risk of malnutrition.

Nutrition status and incidence of malnutrition in home enteral nutrition patients: A cross sectional study

Home enteral nutrition (HEN) is a long-term, life-sustaining nutrition therapy for patients unable to consume sufficient food orally. Patients rely on a prescribed, manufactured product to provide their full nutrient requirements, although some patients may have supplementary oral intake. Prescribed enteral nutrition is used as a treatment for malnutrition, but may, in the long-term, cause poor nutrition status. This study aimed to investigate the nutrition status (energy, protein, vitamin D, and selenium) and malnutrition incidence in long-term HEN patients in the Counties Manukau region. In this cross-sectional study, 42 adults on HEN for 4+ weeks under the care of Te Whatu Ora Health New Zealand were analysed. Participants’ enteral and oral feeding regimes were tracked using patient records and five non-consecutive 24-hour recalls. Biochemical markers, body mass index (BMI), body composition (BIA), and nutrition focussed physical findings were evaluated using reference standards and the Global Leadership Initiative on Malnutrition (GLIM) malnutrition criteria(1). Independent t-tests and Mann-Whitney tests compared participants based on their enteral and supplementary oral intakes and adherence to their enteral prescription. Dependent t-tests and Wilcoxon tests evaluated nutrients contributions from various feeding methods and sources. Over half (54.7%, n = 23) relied exclusively on enteral nutrition, but 60% did not achieve their full energy prescription. Compared to requirements based on the Oxford equation and 1g/kg of body weight, energy and protein intake was low in 20% of all participants, mean intake of these participants was 1,242 ± 183 kcal and 57.5 ± 13.5 g respectively. Participants with full enteral intake had a significantly higher vitamin D intake (14.9 µg, P&lt;0.05) than those with supplementary oral intake (11.2 µg, P&lt;0.05). However, those with oral intake had significantly higher intake of selenium, energy, and all the macronutrients than those with sole enteral intake. Vitamin D and selenium intakes were significantly greater in participants obtaining their full prescription than those that did not. No participants had low vitamin D or selenium blood concentrations, however 40% and 38.1% respectively were high. There was a significant relationship between meeting their energy prescription and high plasma selenium. Low BMI, mid arm muscle circumference, and fat free mass index were observed in 47.5%, 40.5%, and 44.8% of participants respectively. This was not statistically significant between groups. Fat mass and waist circumference were significantly higher in participants on full enteral nutrition. According to the GLIM malnutrition criteria, 62.5% (n = 25) of all participants were malnourished. In conclusion, while HEN patients maintain good vitamin D and selenium status, energy and protein malnutrition are evident. The types of food consumed by those with oral intake may be responsible for the differences in nutritional status. Further attention to prescription adherence and nutritional balance from HEN and oral intake is necessary for this vulnerable group.

Defining malnutrition in persons with spinal cord injury - does the Global Criteria for Malnutrition work?

Physiologic and metabolic changes following spinal cord injury (SCI) lead to an increased risk of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) is a three-step approach to diagnose malnutrition: 1) screening; 2) phenotypic and etiological criteria; and 3) malnutrition severity. The main aim of this study was to assess malnutrition in patients with SCI, according to the GLIM criteria. Patients with SCI (≥ 18 years) admitted to rehabilitation were included. Anthropometrics, food intake, and inflammation were assessed on admission. Fat-free mass index (FFMI) was estimated from bioimpedance analysis. Malnutrition was diagnosed by the GLIM criteria, using the Malnutrition Universal Screening Tool (MUST) as the first step screening tool. Sensitivity and specificity analyses were performed. In total, 66 patients were assessed (50 men) with a mean age of 51.4 (± 17.4) years and median time since injury was 37.5 (10-450) days. The mean body mass index was 24.7 (± 4.2) kg/m2, and 1-month involuntary weight loss was 5.7 (± 4.4)%. FFMI for men was 17.3 (± 1.9) and for women 15.3 (± 1.6) kg/m2. Forty-one patients (62%) were malnourished according to the GLIM criteria: 27 moderately and 14 severely malnourished. MUST was not able to detect malnutrition risk of nine patients, giving a moderate agreement (kappa 0.66), with a sensitivity of 0.78 and a specificity of 0.92 compared to the GLIM diagnosis. In this cross-sectional study, 62% of subacute SCI patients were malnourished according to the GLIM criteria. The screening tool MUST showed moderate agreement with the GLIM criteria and did not detect risk of all patients with a malnutrition diagnosis. The clinical implications of these findings need further investigation.

Robot-assisted versus laparoscopic-assisted gastrectomy among malnourished patients with gastric cancer based on textbook outcome.

Textbook outcome (TO) has been widely employed as a comprehensive indicator to assess the short-term prognosis of patients with cancer. Preoperative malnutrition is a potential risk factor for adverse surgical outcomes in patients with gastric cancer (GC). This study aimed to compare the TO between robotic-assisted gastrectomy (RAG) and laparoscopic-assisted gastrectomy (LAG) in malnourished patients with GC. According to the diagnostic consensus of malnutrition proposed by Global Leadership Initiative on Malnutrition (GLIM) and Nutrition Risk Index (NRI), 895 malnourished patients with GC who underwent RAG (n = 115) or LAG (n = 780) at a tertiary referral hospital between January 2016 and May 2021 were included in the propensity score matching (PSM, 1:2) analysis. After PSM, no significant differences in clinicopathological characteristics were observed between the RAG (n = 97) and LAG (n = 194) groups. The RAG group had significantly higher operative time and lymph nodes harvested, as well as significantly lower blood loss and hospital stay time compared to the LAG group. More patients in the RAG achieved TO. Logistic regression analysis revealed that RAG was an independent protective factor for achieving TO. There were more adjuvant chemotherapy (AC) cycles in the RAG group than in the LAG group. After one year of surgery, a higher percentage of patients (36.7% vs. 22.8%; P < 0.05) in the RAG group recovered from malnutrition compared to the LAG group. For malnourished patients with GC, RAG performed by experienced surgeons can achieved a higher rate of TO than those of LAG, which directly contributed to better AC compliance and a faster restoration of nutritional status.

Malnutrition as a prognostic factor for 2-year mortality in hospitalized patients in Norway: A matched cohort study.

Risk of malnutrition and malnutrition have been previously associated with increased risk of mortality. It remains unclear, however, whether the severity of malnutrition differentiates in association with all-cause mortality. The aim was to assess the association between being at risk of malnutrition or being diagnosed with malnutrition according to the diagnostic assessment of the Global Leadership Initiative on Malnutrition (GLIM) with all-cause mortality during a 2-year follow-up in hospitalized patients. A matched cohort study was conducted in hospitalized patients (excluding cancer, intensive care, and transmissible infections) at a university hospital in Bergen, Norway. All patients underwent nutrition screening with the Nutritional Risk Screening 2002 and a further nutrition assessment using the GLIM criteria. All-cause mortality was estimated from the Norwegian death registry after 2 years, and risk factors were calculated by Cox regression analysis. Among 326 patients included, 55 patients died within 2 years (17% mortality rate). Risk of malnutrition was associated with increased all-cause mortality, which disappeared after adjustment for age and sex. Malnutrition was associated with an increased risk of all-cause mortality at 2 years also after adjustment for age and sex and, additionally, for further comorbidities (hazard ratio = 2.50; 95% CI, 1.41-4.42). When analyzed separately only severe malnutrition was associated with mortality (hazard ratio = 2.73; 95% CI, 1.44-5.15). The findings highlight a strong association between inpatients with severe malnutrition, defined by the GLIM criteria, and an increased risk of all-cause mortality within a 2-year follow-up.

Adipose Tissue Quantification Improves the Prognostic Value of GLIM Criteria in Advanced Gastric Cancer Patients.

The present study investigated whether the risk of recurrence after curative surgery could be further stratified by combining the Global Leadership Initiative on Malnutrition (GLIM) criteria and changes in subcutaneous (SAT) and visceral (VAT) adipose tissue mass after surgery in patients with advanced gastric cancer (AGC). This study retrospectively analyzed 302 patients with AGC who underwent curative surgery. Based on the GLIM criteria, patients were classified into malnourished and non-malnourished groups. The cross-sectional areas of SAT and VAT were measured from preoperative and 6-month post-operative computed tomography (CT) images. Multivariate survival analyses demonstrated that GLIM-defined malnutrition (p = 0.008) and loss of VAT after surgery (p = 0.008) were independent risk factors for recurrence-free survival (RFS). Evaluation of the prognostic value of combining the two independent predictors showed that malnourished patients with a marked loss of VAT had the worst 5-year RFS rate of 35.2% (p < 0.001). Preoperative GLIM-defined malnutrition and a loss of VAT during the first 6 months after surgery were independent predictors for RFS in patients with AGC. Changes in the VAT area after surgery could further enhance the prognostic value of the GLIM criteria for predicting the risk of gastric cancer recurrence.

Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol

BackgroundPatients with acute abdomen often experience reduced voluntary intake and a hypermetabolic process, leading to a high occurrence of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly...

Malnutrition and pectoralis muscle index in medical intensive care unit patients: A matched cohort study.

Muscle assessment is an important component of nutrition assessment. The Global Leadership Initiative on Malnutrition (GLIM) consortium recently underscored the need for more objective muscle assessment methods in clinical settings. Various assessment techniques are available; however, many have limitations in clinical populations. Computed tomography (CT) scans, obtained for diagnostic reasons, could serve multiple purposes, including muscle measurement for nutrition assessment. Although CT scans of the chest are commonly performed clinically, there is little research surrounding the utility of pectoralis muscle measurements in nutrition assessment. The primary aim was to determine whether CT-derived measures of pectoralis major cross-sectional area (PMA) and quality (defined as mean pectoralis major Hounsfield units [PMHU]) could be used to identify malnutrition in patients who are mechanically ventilated in an intensive care unit (ICU). A secondary aim was to evaluate the relationship between these measures and clinical outcomes in this population. A retrospective analysis was conducted on 33 pairs of age- and sex-matched adult patients who are being mechanically ventilated in the ICU. Patients were grouped by nutrition status. Analyses were performed to determine differences in PMA and mean PMHU between groups. Associations between muscle and clinical outcomes were also investigated. Compared with nonmalnourished controls, malnourished patients had a significantly lower PMA (P = 0.001) and pectoralis major (PM) index (PMA/height in m2; P = 0.001). No associations were drawn between PM measures and clinical outcomes. These findings regarding CT PM measures lay the groundwork for actualizing the GLIM call to action to validate quantitative, objective muscle assessment methods in clinical settings.

Global Leadership Initiative on Malnutrition (GLIM) for the diagnosis of malnutrition - a framework for consistent dietetic practice

Malnutrition is an alarming and ongoing healthcare problem globally. Malnutrition has a negative impact on the individual patient, leading to poorer clinical outcomes and increased mortality, but also poses an economic burden on society. Proper identification and diagnostics are prerequisites for initiation of treatment. In 2019, the Global Leadership Initiative on Malnutrition, a consensus-based global framework to uniformly diagnose malnutrition across populations, healthcare settings, and countries was published.Identifying and treating malnutrition is an interdisciplinary team effort. Nonetheless, the nutrition and dietetic profession is specifically trained for diagnosing and treating nutrition(-related) conditions, and therefore has a key role in the interdisciplinary team in implementing the GLIM framework in clinical practice. For the dietetic profession, GLIM offers a great opportunity for moving both the scientific and clinical knowledge of malnutrition management forward.While the GLIM framework has been extensively studied since its launch, various knowledge gaps still remain. For the dietetic profession, these knowledge gaps mainly relate to the GLIM implementation process, to the role of GLIM in relation to the Nutrition Care Process, and to treatment strategies for various nutrition-related conditions. In this opinion paper, we aimed to describe the rationale for implementing the GLIM framework in clinical dietetic practice, and propose a research agenda based on knowledge gaps regarding GLIM in relation to nutrition care from a dietetic point of view.

Decreased abdominal wall muscle mass defined by muscle ultrasound is associated with malnutrition according to Global Leadership Initiative on Malnutrition criteria in renal transplant recipients: A cross-sectional study.

Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass. Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass. The prevalence of malnutrition according to GLIM criteria was 25.3% (n = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique(IO) muscles, than the well-nourished group (P = 0.001 and P = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163-0.699; P = 0.003) and IO (OR = 0.620, 95% CI = 0.427-0.900; P = 0.012) regardless of age and sex. One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.

Global Leadership Initiative on Malnutrition criteria in older adults who are institutionalized: Agreement with the Subjective Global Assessment and its impact on 5-year mortality.

This study aimed to assess the prevalence of malnutrition according to Subjective Global Assessment (SGA), Mini Nutritional Assessment-Full Form (MNA-FF), and different combinations of the Global Leadership Initiative on Malnutrition (GLIM) criteria in older adults who are institutionalized, and the impact of malnutrition on 5-year mortality. Nutrition status was assessed by the SGA, MNA-FF, and 15 GLIM criteria combinations. The Katz scale was used to assess the level of dependence. The SGA was considered the reference method, and the agreement (Kappa test), sensitivity, and specificity values were calculated for each GLIM criteria combination. The variables associated with 5-year mortality were assessed using multivariate logistic regression models. One hundred eleven participants (mean age: 81y; interquartile range: 76.0-87.0; 90.9% women) were included; the prevalence of malnutrition according to the SGA and MNA-FF were 49.5% (n = 55) and 8.1% (n = 9), respectively. The prevalence of malnutrition varied from 1.8% to 36.0% considering GLIM combinations. Eight GLIM criteria combinations had a fair agreement with SGA (κ: 0.21-0.40), and two had sensitivity >80%. Regarding mortality, 43 participants (38.7%) died within 5 years. Malnutrition according to the SGA (odds ratio [OR]: 2.82; 95% confidence interval [CI]: 1.06-7.46) and the Katz scale score (OR: 4.64; 95% CI:1.84-11.70) were independent predictors of mortality. The prevalence of malnutrition varied according to the assessment tools. Malnutrition diagnosed by the SGA, but not by the GLIM criteria or MNA-FF, was associated with 5-year mortality in older adults who were institutionalized.