Global Leadership Initiative On Malnutrition Research Articles

Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (I)

Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (I).

Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (II)

Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (II).

Effect of malnutrition as defined by the Global Leadership Initiative on Malnutrition criteria on compliance of adjuvant chemotherapy and relapse-free survival for advanced gastric cancer

ObjectivesThe aim of the present study was to clarify the effect of malnutrition as defined by the Global Leadership Initiative on Malnutrition (GLIM) criteria on compliance with postoperative adjuvant chemotherapy and relapse-free survival (RFS) in patients with gastric cancer. MethodsThis single-center, retrospective cohort study included 281 consecutive patients with gastric cancer who underwent radical gastrectomy for pathologic stages II and III and received postoperative S-1 adjuvant chemotherapy between April 2008 and June 2018. Treatment failure was defined as discontinuation of adjuvant chemotherapy ≤1 y. Nutritional assessment was preoperatively performed according to the GLIM criteria for all patients. We analyzed risk factors for treatment failure and poor prognostic factors for RFS using multivariate analyses. ResultsTreatment failure and recurrence were observed in 50 (17.8%) and 97 (34.5%) of the 281 patients, respectively. The median follow-up period was 52 mo. The treatment failure rate was higher (P = 0.032) and RFS was worse (P = 0.017) in the malnutrition group. In multivariate analyses, GLIM criteria–defined malnutrition was an independent risk factor for treatment failure (odds ratio = 3.110; 95% confidence interval [CI], 1.020–9.470; P = 0.046). Furthermore, severe malnutrition was an independent poor prognostic factor for RFS (hazard ratio = 1.767; 95% CI, 1.132–2.759; P = 0.012). ConclusionsPreoperative malnutrition as defined by the GLIM criteria was an independent risk factor for poor compliance with adjuvant S-1 chemotherapy and a poor prognostic factor for RFS after radical gastrectomy in patients with advanced gastric cancer.

Prognostic implications of the global leadership initiative on malnutrition criteria as a routine assessment modality for malnutrition in hospitalized patients at a university hospital

Few studies have examined the association between mortality and malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria for routine nutritional assessment; thus, this association is not well known. We aimed to clarify the association between GLIM-defined malnutrition and mortality in a large population of hospitalized patients. In this retrospective cohort study, we enrolled adult patients admitted to Aichi Medical University Hospital between April 2019 and March 2021, who underwent nutritional assessment using the GLIM criteria. In November 2021, we collected the following data from electronic medical records: demographic, clinical, and laboratory data upon admission; nutritional data assessed using GLIM criteria; and data on final patient outcomes. In this study, we included 9372 hospitalized patients who were identified to be at risk by the validated nutritional screening tools (50.6% men, median age 75.0 [67.0-82.0] years, 69.2% patients aged ≥70 years). The number of patients with no, moderate, and severe GLIM-defined malnutrition was 4145 (44.2%), 2799 (29.9%), and 2428 (25.9%), respectively. Kaplan-Meier survival curve analysis showed a significant increase in mortality with worsening nutritional status (log-rank test, P<0.001). After adjusting for age and sex, multivariable Cox regression analysis revealed that both moderate (Hazard ratio [HR] 2.0, 95% confidence interval [CI] 1.79-2.23, P<0.001) and severe malnutrition (HR 3.06, 95% CI 2.74-3.40, P<0.001) were independent risk factors for mortality. Moreover, multivariable analysis showed that four of the five GLIM sub-criteria (except low body mass index) were independently associated with prognosis. Malnutrition and its severity, routinely assessed using the GLIM criteria, are associated with high mortality in hospitalized patients at nutritional risk. Further research is needed to evaluate the usefulness of the GLIM sub-criteria, including low body mass index, in these patients.

GLIM diagnosed malnutrition predicts clinical outcomes and quality of life in patients with non-small cell lung cancer

The high prevalence of malnutrition in non-small cell lung cancer (NSCLC) patients has numerous negative consequences on patients' outcome when undergoing anti-neoplastic treatment. The Global Leadership Initiative on Malnutrition (GLIM) criteria for diagnosis of malnutrition are currently being verified; however, studies validating GLIM criteria in NSCLC patients are lacking. This study aimed to evaluate clinical outcomes and Quality of Life (QoL) in malnourished compared to well-nourished NSCLC patients to determine the predictive validity of GLIM criteria. We collected data on adverse events, survival, and QoL from NSCLC patients undergoing first line anti-neoplastic treatment collected from two prospective trials. Patients were categorized by GLIM criteria as malnourished or well-nourished, based on non-volitional weight loss, low Body Mass Index, reduced muscle mass (Computed Tomography-scans), reduced food intake (24-h recall), and inflammatory condition (modified Glasgow Prognostic Score). Differences in descriptive data, adverse events, survival, and QoL between the malnourished and well-nourished patients were analyzed. Overall, 120 patients were included in the study. Malnourished patients compared to well-nourished patients had significantly worse outcome in terms of treatment cessation (n=21 vs 13, p=0.049), disease progression (n=20 vs 12, p=0.034) and shorter overall survival (HR 2.0, 95% CI: 1.2, 3.4, p=0.009). Stratifying by severity, moderately malnourished patients had a shorter overall survival compared to well-nourished patients (HR 2.1, 95% CI: 1.2, 3.6, p=0.007). Malnutrition at baseline was associated with poor QoL by lower physical (p<0.001) and role functioning (p=0.011), more symptoms of fatigue (p=0.001), nausea and vomiting (p=0.009), pain (p<0.001), dyspnea (p=0.032), appetite loss (p<0.001), and constipation (p=0.029). No significant differences were found in hospitalization, dose reductions, or treatment postponement. Malnutrition defined by GLIM criteria in NSCLC patients was associated with more frequent early cessation of anti-neoplastic treatment, shorter overall survival, and poorer QoL compared to well-nourished patients.

VALIDATION OF GLIM CRITERIA ON MALNUTRITION IN CHINESE OLDER INPATIENTS

Abstract Backgrounds Malnutrition is a nutritional disorder that has a high incidence and can lead to multiple poor prognoses, such as frailty. Early identification and correct evaluation of malnutrition are essential for improving clinical outcomes. Objective: Therefore, we aimed to explore the applicability and effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criterion for identifying undernutrition in older inpatients. Methods In total, 223 participants aged ≥60 years were involved. Nutrition was evaluateded employing MNA-FF and GLIM criteria, which adopts a two-step procedure. The first step was to use three different methods for nutritional risk screening: NRS-2002, MNA-SF, and MUST. The second step is to diagnose undernutrition. The Clinical Frailty Scale was used to assess frailty. Sensitivity, specificity, Youden index, kappa values, and positive and negative predictive values were measured to test the validity of the GLIM criteria. Logistic regression models were used to assess whether there was a correlation between malnutrition and frailty. Results We found that 32.3–49.8% of inpatients were at risk of malnutrition based on the GLIM diagnosis using the three different screening tools, 19.3–27.8% of patients were malnourished. The GLIM criteria with MNA-SF as the diagnostic validation and MNA-FF as a reference showed high consistency (k = 0.629; p &amp;lt; 0.001), sensitivity (90.5%), and specificity (86.4%). Logistic regression analysis showed that malnutrition, using MNA-SF with the GLIM criteria, was relevant to higher likelihood of frailty (OR=1.887; 95% CI: 1.184–2.589). Conclusions: The GLIM criteria with the MNA-SF may be a more reliable malnutrition assessment process in elderly inpatients.

Phase angle, nutritional status, and mortality in systemic sclerosis: An exploratory pilot study

ObjectivesSystemic 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. MethodsConsecutive 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. ResultsA 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). ConclusionsThe 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.

The global leadership initiative on malnutrition criteria for the diagnosis of malnutrition in patients admitted to the intensive care unit: A systematic review and meta-analysis

Malnutrition is associated with a high risk of morbidity and mortality in patients with critical illness. The nutrition status of patients in the intensive care unit (ICU) is challenging to assess. The Global Leadership Initiative on Malnutrition (GLIM) is a novel framework used for the diagnosis of malnutrition. However, its efficacy in patients with critical illness in the ICU has not been validated. To investigate the use and validity of the GLIM criteria in adult patients admitted to the ICU. A systematic review and meta-analysis were performed, and seven databases were searched for relevant studies. The selection criteria included studies that used the GLIM in adult patients admitted to the ICU. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Five studies were included in the analysis. Approximately 15%-68% of patients were diagnosed with malnutrition using the GLIM criteria. Meanwhile, 48%-75% of patients with malnutrition were identified with the Subjective Global Assessment (SGA). The inflammation criterion was easily adjudicated due to critical status, and three studies compared the GLIM and the SGA. According to the QUADAS-2 tool, the nutritional assessment process was not explicit in the studies. The meta-analysis had an overall sensitivity of 65.3% (95% CI: 34.9%-86.9%) and an overall specificity of 88.8% (95% CI: 58.1%-97.8%). In the prospective validation, malnutrition assessed by the GLIM criteria, and the SGA was associated with mortality. However, the association between length of hospital stay and mechanical ventilation was unclear. The use and validity of the GLIM criteria among patients admitted to the ICU is still limited. Moreover, some concurrent and predictive validation studies have methodological limitations. Further studies must be performed to validate the use of the GLIM criteria in the ICU.

Lactate dehydrogenase: relationship with the diagnostic GLIM criterion for cachexia in patients with advanced cancer

BackgroundAlthough suggestive of dysregulated metabolism, the relationship between serum LDH level, phenotypic/aetiologic diagnostic Global Leadership Initiative on Malnutrition (GLIM) criteria and survival in patients with advanced cancer has yet to examined.MethodsProspectively collected data from patients with advanced cancer, undergoing anti-cancer therapy with palliative intent, across nine sites in the UK and Ireland between 2011–2016, was retrospectively analysed. LDH values were grouped as <250/250–500/>500 Units/L. Relationships were examined using χ2 test for linear-by-linear association and binary logistics regression analysis.ResultsA total of 436 patients met the inclusion criteria. 46% (n = 200) were male and 59% (n = 259) were ≥65 years of age. The median serum LDH was 394 Units/L and 33.5% (n = 146) had an LDH > 500 Units/L. LDH was significantly associated with ECOG-PS (p < 0.001), NLR (p < 0.05), mGPS (p < 0.05) and 3-month survival (p < 0.001). LDH was significantly associated with 3-month survival independent of weight loss (p < 0.01), BMI (p < 0.05), skeletal muscle mass (p < 0.01), metastatic disease (p < 0.05), NLR (p < 0.05) and mGPS (p < 0.01).DiscussionLDH was associated with performance status, systemic inflammation and survival in patients with advanced cancer. LDH measurement may be considered as an aetiologic criteria and become a potential therapeutic target in the treatment of cancer cachexia.

Validity and feasibility of the global leadership initiative on malnutrition diagnostic concept in older people: a literature review from August 2021 to August 2022.

Early 2019, the Global Leadership Initiative on Malnutrition (GLIM) concept offered a clinically applicable and objective procedure for diagnosing malnutrition. This review summarizes 40 publications from August 2021 to August 2022 that applied the GLIM criteria in older populations from various clinical settings for criterion and predictive validation. Criterion validity studies, by comparing the GLIM construct with various semi-gold standards such as SGA, PG-SGA, MNA-FF/SF and ESPEN criteria, indicate by sensitivity, specificity and agreement that GLIM performs at least as well as the other tools to capture malnutrition. One meta-analysis of 20 studies with various comparators reports high accuracy for distinguishing malnutrition. GLIM-malnutrition prevalence figures vary with screening tool. Predictive validity of GLIM for mortality, and other outcomes, is good in all settings reported. Sarcopenia and GLIM show some expected overlapping. In populations more than 60 years old, the GLIM construct appears to have well acceptable criterion validity as well as predictive validity. The continuous implementation of the GLIM concept is justified.

Efficacy of Global Leadership Initiative on Malnutrition as potential cachexia screening tool for patients with solid cancer

PurposeCachexia has a very high prevalence in patients with cancer, and lacks effective screening tools yet. Global Leadership Initiative on Malnutrition (GLIM) is a novel malnutrition assessment tool, with increased important roles in malnutrition diagnosis for patients with cancer. However, whether GLIM can be used as an effective screening tool remains unknown.MethodsWe performed a multicenter cohort study including 8,478 solid tumor patients from 40 clinical centers throughout China. Cachexia was diagnosed based on the 2011 international cancer cachexia consensus. The receiver operating characteristic curves (ROC) and decision curve analysis (DCA) were developed to determine the efficacy and clinical net benefit of GLIM and Patient-Generated Subjective Global Assessment (PG-SGA) in the detection of cancer cachexia, respectively.ResultsAccording to the consensus guidelines, 1,441 (17.0%) cancer patients were diagnosed with cachexia among 8,478 patients in the present study. The sensitivity of one-step GLIM and two-step GLIM for detecting cachexia were 100 and 88.8%, respectively, while that of PG-SGA was 86.2%. The accuracies of one-step GLIM and two-step GLIM reached 67.4 and 91.3%, which were higher than that of PG-SGA (63.1%). The area under the curves (AUCs) of one-step GLIM (0.835) and two-step GLIM (0.910) were higher than PG-SGA (0.778) in patients with cancer. The DCA also revealed that two-step GLIM had better clinical effect than PG-SGA between 20-50% threshold probabilities.ConclusionGLIM could be used as an effective tool in screening cancer cachexia, two-step GLIM criteria show more accurate while one-step GLIM criteria is more sensitive.Trial registrationChiCTR1800020329.

What is the overlap between malnutrition, frailty and sarcopenia in the older population? Study protocol for cross-sectional study using UK Biobank.

In an increasingly older adult population, understanding the inter-relationship between three age related conditions malnutrition, frailty and sarcopenia is important in order to improve their recognition, treatment and prevention. This study aims to determine the overlap between malnutrition, frailty and sarcopenia by measuring estimates of prevalence for each individual condition. In addition, we will compare two models of frailty which are the accumulation of deficits and phenotype models. This is a cross-sectional study that will use the UK Biobank database, which will include a subset of 381,000 participants: males and females aged 50 years and above who completed the baseline assessments. For the baseline assessments, details of the participants' characteristics will be included. All three conditions will be identified and mapped to variables collected at the baseline assessment. Variables for malnutrition will be mapped according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Frailty will be defined according to two models: the 36 deficits and the phenotype model. Finally, sarcopenia will be assessed according to the European Working Group on Sarcopenia in Older People (EWGSOP) standard. This proposed study will help to understand the presence of malnutrition, frailty and sarcopenia in the older population and describe any overlap between the conditions. There is little published research on the overlap between these three conditions. Despite the similarity and shared criteria used for the identification of malnutrition, frailty and sarcopenia there is still a lack of cohesive thinking around the overlap of applied definitions and identification criteria. ClinicalTrials.gov NCT04655456 approved on the 10th of December 2020.

Mid-Arm Muscle Circumference or Body Weight-Standardized Hand Grip Strength in the GLIM Superiorly Predicts Survival in Chinese Colorectal Cancer Patients.

Our objective was to identify the optimal method to assess reduced muscle mass (RMM) using the Global Leadership Initiative on Malnutrition (GLIM) approach and investigate the roles of the GLIM approach in nutrition assessment and survival prediction in colorectal cancer (CRC) patients. During a median follow-up period of 4.2 (4.0, 4.4) years, a development cohort of 3612 CRC patients with a mean age of 64.09 ± 12.45 years was observed, as well as an external validation cohort of 875 CRC patients. Kaplan−Meier curves and multivariate Cox regression were adopted to analyze the association between GLIM-diagnosed malnutrition and the overall survival (OS) of CRC patients. A nomogram predicting individualized survival was constructed based on independent prognostic predictors. The concordance index, calibration curve, and decision curve were applied to appraise the discrimination, accuracy, and clinical efficacy of the nomogram, respectively. Patients diagnosed with severe malnutrition based on either the mid-arm muscle circumference (MAMC) or body weight-standardized hand grip strength (HGS/W) method had the highest mortality hazard ratio (HR, 1.51; 95% CI, 1.34−1.70; p < 0.001). GLIM-defined malnutrition was diagnosed in 47.6% of patients. Severe malnutrition was an independent mortality risk factor for OS (HR, 1.25; 95% CI, 1.10−1.42; p < 0.001). The GLIM nomogram showed good performance in predicting the survival of CRC patients and was clinically beneficial. Our findings support the effectiveness of GLIM in diagnosing malnutrition and predicting OS in CRC patients.

Body impedance analysis to estimate malnutrition in inflammatory bowel disease patients - A cross-sectional study.

Malnutrition is a common clinical problem in patients with inflammatory bowel diseases (IBD). However, a gold standard for the detection of malnutrition in IBD patients is lacking. A cross-sectional study to assess malnutrition in patients with IBD and healthy controls (HCs). Clinical characteristics (Montreal classification, disease activity, previous surgery) and mutations in the NOD2 gene in patients with Crohn's disease (CD) were obtained. We performed a nutritional assessment with screening for nutritional risk and diagnosis for malnutrition (Malnutrition Universal Screening Tool [MUST]) score, NRS-2002, European Society for Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM) criteria and performed body impedance analysis (BIA). 101 IBD patients (57 CD and 44 ulcerative colitis (UC) and 50 HC were included in a single northern German tertiary center. GLIM criteria detected malnutrition significantly more often compared to the ESPEN criteria. Active disease, a long-standing disease course, and previous surgery were associated with reduced muscle mass. IBD patients had a higher fat mass index compared to HC. Mutations in the NOD2 gene had no effect on nutritional status. The GLIM criteria detect malnutrition at a higher rate compared to ESPEN. Specific disease factors might put IBD patients at a higher risk for the development of malnutrition, so these patients might benefit from a frequently performed screening, which might result in a favorable disease course.

Impact of disease burden or inflammation on nutritional assessment by the GLIM criteria in female patients with rheumatoid arthritis.

In 2018, the Global Leadership Initiative on Malnutrition (GLIM) released a global standard for evaluating malnutrition. The etiologies of malnutrition in the GLIM criteria includes disease burden/inflammation, but how this view affects nutritional assessment remains unclear. This study aimed to investigate the impact of disease burden/inflammation on the proportion of malnourished patients defined by GLIM criteria, and how differences in methods for determining disease burden/inflammation in GLIM criteria affect existing nutritional indices among patients with rheumatoid arthritis (RA). We also investigated factors associated with malnutrition in RA patients. Data from 135 female RA patients (66.8±12.6 years) were cross-sectionally analyzed. Among the etiologies of malnutrition, disease burden/inflammation was defined as: (1) moderate or higher disease activity score (disease activity score composite of the 28-joint score and erythrocyte sedimentation rate [DAS28-ESR] ≥ 3.2) [DAS-malnutrition (MN)]; (2) elevated C-reactive protein (CRP) ≥0.5mg/dL (CRP-MN); and (3) presence of RA (RA-MN). In each of the three conditions, nutritional indicators between well-nourished and malnourished groups were compared by analysis of covariance. Factors associated with malnutrition were analyzed with logistic regression analysis. The frequencies of malnutrition as defined by DAS-MN, CRP-MN, and RA-MN were 39%, 30%, and 71%, respectively. When malnutrition was defined by the DAS-MN and/or the CRP-MN, grip strength and serum ceruloplasmin, iron, and zinc levels showed significant differences between the well-nourished and malnourished groups (p<0.05). The use of targeted synthetic or biological disease-modifying antirheumatic drugs (ts-/b-DMARD) (OR=0.29; 95% CI 0.11-0.82), grip strength (OR=0.83; 95% CI 0.75-0.91), subjective reduction in walking speed (OR=5.24; 1.85-14.86) were significantly associated with malnutrition as determined by DAS-MN. Differences in disease burden/inflammation affect nutritional assessments. The number of malnourished patients with RA was negatively associated with the use of ts-/b-DMARDs and high physical function in women.

Influence of fat-free mass index on the survival of patients with head and neck cancer

PurposeTo determine whether muscle mass, defined by fat-free mass index (FFMI) measured with bioelectrical impedance analysis (BIA), is predictive of survival of head and neck squamous cell carcinoma (HNSCC) patients.MethodsHNSCC patients treated between 2014 and 2018 at the Department for Nutrition of the Institute of Oncology Ljubljana were reviewed. The FFMI values from the pretreatment BIA measurements and pretreatment body mass index (BMI) were used to categorize patients into groups with low and normal muscle mass and BMI using the Global Leadership Initiative on malnutrition (GLIM) recommended cutoff values. The impact of FFMI on disease-free survival (DFS) and overall survival (OS) was determined.ResultsOf the 71 included patients, 31 (43.7%) had normal FFMI, and 40 (56.3%) had low FFMI, whereas 44 (62%) and 27 (38%) of the patients had normal and low BMI, respectively. Between FFMI and BMI values, a significant correlation was found (RP = 0.75, p < 0.001). Univariate regression analysis showed that FFMI (as a continuous variable) was of prognostic significance for OS (p = 0.039), which was confirmed by multivariate regression analysis (p = 0.029). The model where BMI replaced FFMI negated the prognostic value of BMI (as a continuous variable). Neither FFMI nor BMI was found to be a predictor of DFS on univariate or multivariate analysis.ConclusionsIn the present group of HNSCC patients, low FFMI adversely influenced OS, emphasizing the importance of using body composition measurement over BMI alone for pretreatment nutritional evaluation of these patients.

Visceral Adipose Tissue Assessment Enhances the Prognostic Value of GLIM Criteria in Patients with Gastric Cancer Undergoing Radical Gastrectomy after Neoadjuvant Treatment

The Global Leadership Initiative on Malnutrition (GLIM) criteria has been recently published for diagnosing malnutrition in adults. However, the validity of the GLIM criteria has not been well-established in patients with gastric cancer (GC) treated with neoadjuvant treatment (NT) followed by radical gastrectomy. The present study aimed to explore the prognostic value of GLIM-defined malnutrition before NT and after NT in GC patients and to investigate whether additional visceral adipose tissue (VAT) assessment could improve the predictive power of the GLIM criteria for NT-related adverse events (AEs) and long-term survival. GC patients who underwent radical surgery after NT from June 2016 to June 2020 were enrolled in this study. The cross-sectional areas of total skeletal muscle (TSM) and VAT were measured using computed tomography (CT) before NT and after NT. GLIM-defined malnutrition was diagnosed using the two-step approach, including nutritional risk screening and diagnostic assessment. Low VAT was also added to the diagnosis of malnutrition in this study. The predictive value of these malnutrition diagnoses for NT-related AEs, and long-term survival was evaluated in GC patients. A total of 182 GC patients were included in this study, of which 66 (36.3%) patients before NT and 55 (30.2%) patients after NT were diagnosed with GLIM-defined malnutrition, respectively. In addition to GLIM-defined malnutrition, 54 (29.7%) patients had additional low VAT before NT, and 39 (21.4%) patients had additional low VAT after NT. GLIM-defined malnutrition alone before NT was not associated with NT-related AEs in GC patients. The addition of low VAT to GLIM-defined malnutrition led to a significant predictive value for NT-related AEs. Furthermore, GLIM-defined malnutrition before NT and after NT were both identified as independent risk factors for overall survival (OS) and disease-free survival (DFS). The combination of low VAT and GLIM-defined malnutrition showed a higher hazard ratio for the prediction of OS and DFS both before NT and after NT. The addition of VAT assessment using CT improved the predictive value of GLIM-defined malnutrition for NT-related AEs and long-term survival in GC patients treated with NT followed by radical gastrectomy, which further supports the prognostic importance of assessing adipose tissue simultaneously during the routine nutritional assessment in patients with cancer.

GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer.

This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient-Generated Subjective Global Assessment (PG-SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan-Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07-4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99-4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14-5.47, p = 0.023) for OS and 2.10 (95% CI 0.98-4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG-SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.

Orthostatic hypotension is associated with malnutrition diagnosed by GLIM in elderly hypertensive patients

BackgroundOrthostatic Hypotension (OH) and malnutrition, are common health problems in elderly hypertensive patients. This study aimed to analyze the relationship between malnutrition and OH in elderly hypertensive patients.MethodsThis is a cross-sectional single-center study. All participants underwent a Comprehensive Geriatric Assessment (CGA), in which malnutrition was defined according to the Global Leadership Initiative on Malnutrition (GLIM) criteria based on four different methods of diagnosing muscle mass loss. Furthermore, the accuracy of these methods was verified by Receiver Operating Characteristic (ROC) analysis. Univariate and multivariate logistic regression analyses were used to identify risk factors for OH in elderly hypertensive patients.ResultsFor GLIM criteria, when Fat-Free Mass Index (FFMI) was the gold standard for muscle mass loss, the Area Under ROC Curve (AUC) values for Upper Arm Circumference (UAC), Calf Circumference (CC), and Hand Grip Strength (HGS) were 0.784, 0.805, and 0.832, with moderate accuracy in diagnosing malnutrition. Multivariate analysis showed that females, Diabetes Mellitus (DM), diuretics, and malnutrition diagnosed by GLIM-UAC were risk factors for OH in elderly hypertensive patients.ConclusionPrompt detection of malnutrition in the elderly and attention to changes in UAC may be critical. Similarly, we should strengthen medication and disease management in elderly hypertensive patients.

The geriatric nutritional risk index is an effective tool to detect GLIM-defined malnutrition in rectal cancer patients

This study aimed to investigate the value of the Geriatric Nutritional Risk Index (GNRI), prognostic nutritional index (PNI), and advanced lung cancer inflammation index (ALI) scores in detecting malnutrition in patients with rectal cancer; the Global Leadership Initiative on Malnutrition (GLIM) was used as the reference criterion. This study included patients with rectal cancer who underwent proctectomy. GNRI, PNI, and ALI were calculated to detect the GLIM-defined malnutrition using the Receiver operating characteristic (ROC) curves. Univariate and multivariate logistic regression analyses were used to evaluate the association between the nutritional tools and postoperative complications. Kaplan-Meier survival curves, log-rank tests, and univariate and multivariate Cox regression analyses were used to clarify the relationship between nutritional tools and overall survival (OS). This study enrolled 636 patients with rectal cancer. The GNRI demonstrated the highest sensitivity (77.8%), pretty specificity (69.0%), and the largest AUC (0.734). The GNRI showed good property in predicting major postoperative complications. All three nutritional tools were independent predictors of OS. The GNRI can be used as a promising alternative to the GLIM and is optimal in perioperative management of patients with rectal cancer.