Prognostic value of GLIM-defined malnutrition in combination with hand-grip strength or gait speed for the prediction of postoperative outcomes in gastric cancer patients with cachexia.

BACKGROUND: Cancer cachexia is associated with impaired functional and nutritional status and worse clinical outcomes. Global Leadership Initiative in Malnutrition (GLIM) consensus recommended the application of GLIM criteria to diagnose malnutrition in patients with cachexia. However, few previous study has applied the GLIM criteria in patients with cancer cachexia. METHODS: From July 2014 to May 2019, patients who were diagnosed with cancer cachexia and underwent radical gastrectomy for gastric cancer were included in this study. Malnutrition was diagnosed using the GLIM criteria. Skeletal muscle index was measured using abdominal computed tomography (CT) images at the third lumbar vertebra (L3) level. Hand-grip strength and 6-meters gait speed were measured before surgery. RESULTS: A total of 356 patients with cancer cachexia were included in the present study, in which 269 (75.56%) were identified as having malnutrition based on the GLIM criteria. GLIM-defined malnutrition alone did not show significant association with short-term postoperative outcomes, including complications, costs or length of postoperative hospital stays. The combination of low hand-grip strength or low gait speed with GLIM-defined malnutrition led to a significant predictive value for these outcomes. Moreover, low hand-grip strength plus GLIM-defined malnutrition was independently associated with postoperative complications (OR 1.912, 95% CI 1.151-3.178, P = 0.012). GLIM-defined malnutrition was an independent predictive factor for worse OS (HR 2.310, 95% CI 1.421-3.754, P = 0.001) and DFS (HR 1.815, 95% CI 1.186-2.779, P = 0.006) after surgery. The addition of low hand-grip strength or low gait speed to GLIM-defined malnutrition did not increase its predictive value for survival. CONCLUSION: GLIM-defined malnutrition predicted worse long-term survival in gastric cancer patients with cachexia. Gait speed and hand-grip strength added prognostic value to GLIM-defined malnutrition for the prediction of short-term postoperative outcomes, which could be incorporated into preoperative assessment protocols in patients with cancer cachexia.

Influence of malnutrition according to the glim criteria on the chemotherapy toxicities in patients with advanced lung cancer.

BACKGROUND: Cancer-associated malnutrition is highly prevalent in advanced lung cancer, and 50% of global cancer-related deaths are attributed to cancer-associated malnutrition. Platinum-containing chemotherapy is the standard treatment for advanced lung cancer. Unfortunately, it can cause exacerbated toxicities, which can also have a negative impact on patient's prognosis and quality of life. The Global Leadership Initiative on Malnutrition (GLIM) criteria have been proposed as the world's first accepted diagnostic criteria for malnutrition. However, the effectiveness of GLIM criteria in predicting chemotherapy toxicities in patients with advanced lung cancer is unclear. The aim of this study was to apply the GLIM criteria to assess the prevalence of pre-treatment diagnosis of malnutrition in patients with advanced non-small cell lung cancer (NSCLC) and to determine the impact of nutritional status on patient's chemotherapy toxicity. METHODS: We conducted a study of hospitalized patients with pathologically and clinically diagnosed advanced NSCLC who presented to our hospital from May 2021 to January 2022. Initially, the Nutritional Risk Screening-2002 (NRS-2002) was used for nutritional risk screening, and nutritional status was assessed using the Scored Patient-Generated Subjective Global Assessment (PG-SGA) and GLIM criteria. Chemotherapy toxicity was assessed and graded according to CTCAE5.0, and chemotherapy efficacy was assessed according to RECIST1.1. Kappa test was used to analyze the agreement between PG-SGA and GLIM criteria. Univariate and multivariate logistic regression analyses were used to determine the relationship between malnutrition and chemotherapy toxicity. RESULTS: A total of 215 patients with advanced NSCLC were evaluated for nutritional status. Most of the patients had normal BMI (61.86%) before the start of treatment, 40% were well-nourished as assessed by the PG-SGA tool, and 51.17% were well-nourished as assessed by GLIM criteria. Consistency analysis showed moderate agreement (Kappa = 0.463, P < 0.001) and their correlation was also moderate (Spearman, rs = 0.475, P < 0.001). The objective response rate (ORR) (P = 0.040) and disease control rate (DCR) (P < 0.001) were significantly lower in malnourished patients diagnosed according to GLIM criteria than in well-nourished patients. Multivariate analysis showed that malnutrition (OR = 1.531,95%CI 0.757-3.009; OR = 6.623,95%CI 1.390-31.567, P = 0.046) diagnosed by GLIM criteria was an independent predictor of chemotherapy toxicity. Conclusions Malnutrition diagnosed by GLIM criteria better predicts toxicity during chemotherapy, determines the degree of clinical benefit of chemotherapy, and may affect patient prognosis.

Malnutrition Screening with Nutritional Risk Screening 2002 prior to Assessment as Part of GLIM Criteria in Patients Undergoing Major Abdominal Surgery for Gastrointestinal Cancer.

INTRODUCTION: For diagnosing malnutrition as an important modifiable risk factor in surgical cancer patients, GLIM criteria offer a standardised diagnostic pathway. Before assessing malnutrition, it is suggested to screen for malnutrition with an implemented screening tool, i.e., the NRS-2002. Validated data regarding the applied screening tool and its relevance for predicting outcome parameters in surgical patients is sparse. METHODS: 260 patients undergoing major abdominal surgery for cancer were retrospectively analysed. Between January 2017 and December 2019, patients were prospectively screened for malnutrition with the Nutritional Risk Score 2002 (NRS). Irrespective of their screening result malnutrition was assessed with GLIM criteria using CT scan at lumbar level 3 for measuring skeletal muscle mass (GLIM MMCT). Patients with negative screening results (NRS ≤2) were analysed regarding their malnutrition assessment and outcome parameters. RESULTS: Thirty four of 67 patients with NRS ≤2, posing no risk for malnutrition, were diagnosed malnourished according to GLIM MMCT (n = 34, 50.7%). 19 patients (55.9%) with NRS ≤2 and malnutrition according to GLIM had at least one complication, 12 patients (35.3%) had a severe complication (Clavien-Dindo grade ≥ 3a), in 26.5% re-laparotomy was necessary, readmission within 1 month in 20.6% of patients, and length of hospital stay was 18.76 ± 12.66, which was in total worse in outcome compared to the whole study group (n = 260). Patients with NRS ≤2 but diagnosed malnourished by GLIM were at significant higher risk to develop a severe complication (OR 2.256, 95% CI: 1.038-4.9095, p = 0.036) compared to patients with NRS ≤2 but not being diagnosed malnourished. The risk for overall complications was significantly increased in patients with malnutrition diagnosed by the GLIM criteria using MMCT (OR 2.028, 95% CI: 1.188-3.463, p = 0.009). Patients screened at risk with NRS ≥3 and diagnosed malnourished by GLIM were also at significant higher risk for developing complications (OR 1.728, 95% CI: 1.054-2.832, p = 0.029). CONCLUSION: GLIM MMCT is suitable for diagnosing malnutrition and estimating postoperative risk in gastrointestinal cancer patients. Nutritional assessment only in patients with NRS >2 may bear the risk to miss malnourished patients with high risk for poor clinical outcome. In every patient undergoing major cancer surgery, regular assessment of nutritional status regardless of screening result should be performed exploiting CT body composition analysis.

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

BACKGROUND: The 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. OBJECTIVE: To 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. METHODS: Cross-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. RESULTS: The 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. CONCLUSION: Adherence to high diet-quality patterns was associated with lower frequency of malnutrition among older adults. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov identifier: NCT02804672. June 17, 2016.; ClinicalTrials.gov NCT03541135. May 30, 2018.

Relationship between malnutrition according to the global leadership initiative on malnutrition criteria and oral health among community-dwelling elderly aged 85 years and older: a cross-sectional study.

BACKGROUND: A new diagnostic criterion for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM) criteria, has been proposed. Despite a recognized link between malnutrition and oral health, further clarification is needed regarding this association when using the GLIM criteria. This study examined the association between malnutrition and oral health in community-dwelling older adults aged ≥ 85. METHODS: This study was conducted using data from the Tokyo Oldest Old Survey on Total Health study, and altogether 519 participants ≥ 85 years were enrolled. Malnutrition was assessed using the GLIM criteria. Oral health information, on the number of teeth, maximum occlusal force (MOF), saliva production, denture-related questions (dissatisfaction and frequency of use), dental visit history in the past year, whether participants enjoyed meals, and oral-related quality of life was assessed using the Geriatric Oral Health Assessment Index (GOHAI) were collected. MOF was assessed the average values of three measurements and lower tertile by sex as decline in MOF. For GOHAI, the score for each items (Q1-Q12) was also evaluated, and further, the decline in each item (score: 1-2 points on a 5-point scale) was assessed as a "problem with each items." Oral health factors differing between those with and without malnutrition were analyzed. For differing items, malnutrition risk was evaluated using Cox regression. RESULTS: Eighty-nine (17.1%) participants experienced malnutrition. Significant differences were observed in the decline in MOF, enjoyment of meals, individual scores for Q2, Q4, and Q6, and the problem with Q3, Q6, Q7, and Q11. Cox regression analysis showed that decline in MOF (odds ratio [OR]: 1.728, 95% confidence interval [CI]: 1.010-2.959), enjoyment of meals (OR: 0.502, 95% CI: 0.289-0.873), problem with Q3 (OR: 5.474, 95% CI: 1.301-23.028), Q6 (OR: 5.325, 95% CI: 1.026-27.636), and Q7 (OR: 2.867, 95% CI: 1.397-5.882) were associated with ORs of malnutrition. CONCLUSION: Decline in MOF, enjoyment of meals, swallowing problem (problem with Q3), limit contact due to oral condition (problem with Q6), and esthetics problem (problem with Q7) were associated with malnutrition as assessed using the GLIM criteria.

Malnutrition diagnosed by GLIM criteria better predicts long-term outcomes for patients with non-Hodgkin's lymphoma: A prospective multicenter cohort study.

Since Global Leadership Initiative on Malnutrition (GLIM) method was proposed, few studies have applied these new criteria to hematological tumors. In this study, we explored the prevalence of malnutrition according to the GLIM criteria and scored Patient-Generated Subjective Global Assessment (sPG-SGA) and their association with 1-year, 3-year and 5-year mortality among patients with non-Hodgkin's lymphoma (NHL). Malnutrition of all patients were assessed by GLIM criteria and sPG-SGA. Relationship between the malnutrition based on GLIM criteria or sPG-SGA and mortality was investigated by Cox regression analyses. The performance of GLIM criteria was evaluated by assessing the sensitivity, specificity, k-value, receiver operating characteristic (ROC) curve and time-dependent ROC. Of 963 patients with NHL, the prevalence of malnutrition was 38.8% with GLIM criteria, 65.3% with GLIM-omitted NRS-2002 and 53.2% with sPG-SGA. In comparison with sPG-SGA, the sensitivity of GLIM criteria was 61.7%, the specificity was 84.8%, and the agreement was moderate (k = 0.48, p < 0.001). Malnutrition based on GLIM criteria could also predict 3-year and 5-year mortality after adjusting for confounders, except for sPG-SGA (HR = 1.816, 95%CI = 1.274-2.589, p = 0.001 for 3-year mortality; HR = 1.707, 95%CI = 1.223-2.382, p = 0.002 for 5-year mortality). For patients with NHL, GLIM criteria could be applied as an effective replacement to sPG-SGA for nutrition assessment and mortality prediction, especially for predicting long-term prognostic outcomes.

Malnutrition defined by GLIM criteria identifies a higher incidence of malnutrition and is associated with pulmonary complications after oesophagogastric cancer surgery, compared to ICD-10-defined malnutrition.

BACKGROUND & OBJECTIVES: Low muscle mass, measured using computed tomography (CT), is associated with poor surgical outcomes. We aimed to include CT-muscle mass in malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria, compare it to the International Classification of Diseases 10th Revision (ICD-10) criteria, and assess the impact on postoperative outcomes after oesophagogastric (OG) cancer surgery. METHODS: One hundred and eight patients who underwent radical OG cancer surgery and had preoperative abdominal CT imaging were included. GLIM and ICD-10 malnutrition data were assessed against complication and survival outcomes. Low CT-muscle mass was determined using predefined cut-points. RESULTS: GLIM-defined malnutrition prevalence was significantly higher than ICD-10-malnutrition (72.2% vs. 40.7%, p < 0.001). Of the 78 patients with GLIM-defined malnutrition, low muscle mass (84.6%) was the predominant phenotypic criterion. GLIM-defined malnutrition was associated with pneumonia (26.9% vs. 6.7%, p = 0.010) and pleural effusions (12.8% vs. 0%, p = 0.029). Postoperative complications did not correlate with ICD-10 malnutrition. Severe GLIM (HR: 2.51, p = 0.014) and ICD-10 (HR: 2.15, p = 0.039) malnutrition were independently associated with poorer 5-year survival. CONCLUSIONS: GLIM criteria appear to identify more malnourished patients and more closely relate to surgical risk than ICD-10 malnutrition, likely due to incorporating objective muscle mass assessment.

Significance of malnutrition defined with Global Leadership Initiative on Malnutrition criteria in patients with hepatocellular carcinoma after hepatic resection.

AIM: A recent study reported the utility of the definition of malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria in many types of cancers and chronic inflammatory disease. The present retrospective study aimed to investigate the significance of malnutrition defined with GLIM criteria in patients with hepatic resection for hepatocellular carcinoma (HCC) and also to compare malnutrition using handgrip strength. METHODS: We retrospectively reviewed data from 174 patients who had undergone curative hepatic resection for HCC including both skeletal muscle area and handgrip strength. Patients were divided according to malnutrition defined by GLIM or modified GLIM and clinicopathologic and short- and long-term outcomes were analyzed. The modified GLIM criteria was defined using both handgrip strength and skeletal muscle area. RESULTS: Malnutrition defined by GLIM criteria was diagnosed in 47 patients (26.7%) and malnutrition defined by modified GLIM criteria was diagnosed in 21 patients (11.9%). Malnutrition defined by GLIM or modified GLIM criteria was associated with poorer liver function and malignant tumor behavior, but modified GLIM criteria predicted the postoperative complication and recurrence-free survival outcome independently. In patients with poor liver function, malnutrition defined by modified GLIM criteria predicted postoperative complication and overall and recurrence-free survival. CONCLUSIONS: Malnutrition defined by modified GLIM criteria using both handgrip strength and skeletal muscle area can more accurately predict short- and long-term outcomes compared to malnutrition defined by the GLIM criteria. Nutritional and exercise therapy could become more important in patients with malnutrition and poor liver function.

Association of Malnutrition With Physical Activity Intensity in Patients With Subacute Stroke.

OBJECTIVE: To investigate the relationship between nutritional status measured by the Global Leadership Initiative on Malnutrition (GLIM) criteria and the intensity of physical activity, and to determine the association between these factors and the activities of daily living (ADLs) in patients with subacute stroke during hospitalization. DESIGN: A cross-sectional study. SETTING: The study was conducted in the rehabilitation unit at a neurosurgical hospital. PARTICIPANTS: One hundred and twenty-eight patients with subacute stroke (N=128). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nutritional status was assessed using GLIM criteria. Sedentary behavior (SB), light-intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) were measured using an accelerometer. Multiple regression analysis was used to investigate the relationship between nutritional status and intensity of physical activity. Moreover, the association of nutritional status and physical activity intensity with ADLs was determined using multiple regression analysis and mediation analysis. RESULTS: Malnutrition was associated with SB time (B = 16.241, P=.009) and LIPA time (B = -17.656, P=.002), but not MVPA time (B = -0.472, P=.776). SB time (B = -0.063, P=.009) and LIPA time (B = 0.093, P<.001) were associated with functional independence measure for motor function, while MVPA time (B = -0.080, P=.379) was not. SB time (coefficient = -10.785, P<.001) and LIPA time (coefficient = -12.054, P<.001) were significant mediators between nutrition status and ADLs. CONCLUSIONS: Malnutrition was associated with a SB time and LIPA time, but not MVPA time, in patients with sub-acute stroke. SB and LIPA times were associated with ADLs and mediated between nutrition status and ADLs in these patients. The association of nutritional status on physical activity and ADLs should be considered in stroke rehabilitation.

Relation between number of teeth, malnutrition, and 3-year mortality in elderly individuals ≥85 years.

OBJECTIVE: The number of teeth has been shown to affect mortality. However, it is unclear why the number of teeth is associated with mortality. We focused on the number of teeth and malnutrition and examined whether these differences affect 3-year all-cause mortality among very elderly individuals. METHODS: This analysis was conducted using data from the Tokyo Oldest Old Survey on Total Health study. Altogether 513 participants ≥85 years were categorized based on remaining teeth (0, 1-7, 8-18, ≥19). All-cause mortality was determined by calculating the cumulative 3-year survival rate according to the remaining number of teeth and the presence/absence of malnutrition. Further, hazard ratios (HRs) were analyzed using Cox regression analyses. RESULTS: No difference was observed according to the number of teeth (p = 0.638), but the presence/absence of malnutrition was significantly associated with mortality (p < 0.001). Malnutrition was independently associated with higher HRs, even after adjusting for confounding factors associated with mortality. (HR: 2.315, 95% CI: 1.431-3.746). Additionally, adjusting for the number of teeth, HR remained significant (HR: 2.365, 95% CI: 1.449-3.853). CONCLUSION: In the very elderly, malnutrition-but not the number of teeth-was independently associated with 3-year all-cause mortality after adjusting for various health issues.

Comparison of the adequacy of geriatric nutritional risk index with that of the mini nutritional assessment-short form and global leadership initiative on malnutrition criteria in assessing nutritional status to predict the 1-year prognosis of hospitalized Japanese older adults: a single-institutional cohort study.

BACKGROUND: The global leadership initiative on malnutrition (GLIM) proposed the first international standards (GLIM criteria) for malnutrition diagnosis. Early screening using nutritional tools is recommended to improve the prognosis of older patients. The association between Mini Nutritional Assessment-Short Form (MNAⓇ-SF) and Geriatric Nutritional Risk Index (GNRI) and prognosis has been reported, but there is insufficient evidence to develop the GLIM criteria for older inpatients. We aimed to evaluate the MNAⓇ-SF, GNRI, and GLIM criteria to determine their contribution to the prognosis prediction of hospitalized older patients at 1 year after discharge. METHODS: This study included 386 patients hospitalized between September 2014 and October 2015, and May and December 2019. After excluding 17 patients who died at the time of initial hospitalization, 23 who were lost to follow-up after 1 year, and 28 who had missing data on admission, only 318 were included in the final analysis. The primary outcome was death within 1 year after discharge, assessed using the MNA®-SF, GNRI, and GLIM criteria, and survival analysis was conducted. Multivariate Cox proportional hazards analysis was performed to identify the nutritional assessment tools that contributed to the prognosis prediction. RESULTS: A total of 43 patients died within 1 year. Of them, 58.1% had malnutrition and 37.2% were at risk of malnutrition, assessed using the MNAⓇ-SF; 27.9% had severely malnourished assessed using the GNRI; and 58.1% had severely malnourished assessed using the GLIM criteria. The proportions of malnourished and severely malnourished patients were significantly higher in the mortality group than in the survival group. Multivariate Cox proportional hazards analysis showed hazard ratios of 1.06 (95% confidence interval [CI]: 0.24-4.71) for at risk and 2.17 (95% CI: 0.48-9.84) for malnutrition (MNAⓇ-SF); 5.68 (95% CI: 2.74-11.80) for moderately malnourished and 7.69 (95% CI: 3.13-18.91) for severely malnourished (GNRI); and 1.47 (95% CI: 0.48-4.50) for moderately malnourished and 2.45 (95% CI: 1.22-4.93) for severely malnourished (GLIM criteria); GNRI had the most significant contribution to prognosis prediction. CONCLUSIONS: GNRI significantly contributed to the prognosis prediction 1 year after hospital discharge of older patients.

Malnutrition in COVID-19 survivors: prevalence and risk factors.

BACKGROUND: Nutritional status is a critical factor throughout COVID-19 disease course. Malnutrition is associated with poor outcomes in hospitalized COVID-19 patients. AIM: To assess the prevalence of malnutrition and identify its associated factors in COVID-19 survivors. METHODS: Study cohort included 1230 COVID-19 survivors aged 18-86 attending a post-COVID-19 outpatient service. Data on clinical parameters, anthropometry, acute COVID-19 symptoms, lifestyle habits were collected through a comprehensive medical assessment. Malnutrition was assessed according to Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS: Prevalence of malnutrition was 22% at 4-5 months after acute disease. Participants who were not hospitalized during acute COVID-19 showed a higher frequency of malnutrition compared to those who needed hospitalization (26% versus 19%, p < 0.01). Malnutrition was found in 25% COVID-19 survivors over 65 years of age compared to 21% younger participants (p < 0.01). After multivariable adjustment, the likelihood of being malnourished increased progressively and independently with advancing age (Odds ratio [OR] 1.02; 95% CI 1.01-1.03) and in male participants (OR 5.56; 95% CI 3.53-8.74). Malnutrition was associated with loss of appetite (OR 2.50; 95% CI 1.73-3.62), and dysgeusia (OR 4.05; 95% CI 2.30-7.21) during acute COVID-19. DISCUSSION: In the present investigation we showed that malnutrition was highly prevalent in a large cohort of COVID-19 survivors at 4-5 months from acute illness. CONCLUSIONS: Our findings highlight the need to implement comprehensive nutritional assessment and therapy as an integral part of care for COVID-19 patients.

Usefulness of the GLIM criteria to predict recovery of activities of daily living in older adults with post-acute stroke.

OBJECTIVES: The usefulness of malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria as a predictor of recovery of activities of daily living is unclear. This study aimed to investigate whether baseline malnutrition diagnosed using the GLIM criteria was predictive of recovery of activities of daily living in older patients with post-acute stroke. MATERIALS AND METHODS: A retrospective cohort study was conducted in patients aged ≥70 years with post-acute stroke. The outcome was activities of daily living measured using the motor domain of the Functional Independence Measure (FIM-motor) score at discharge. Participants were classified as malnourished or non-malnourished according to the GLIM criteria. Multivariate linear regression analyses were performed to determine whether baseline malnutrition diagnosed using the GLIM criteria was predictive of the FIM-motor score at discharge. The analysis was adjusted for clinically relevant covariates associated with rehabilitation outcomes after stroke. RESULTS: A total of 236 patients (mean age, 80.0 years; female, 54.2%) were included in the analysis. On admission, 83 (35.2%) patients were diagnosed with malnutrition. Multivariate linear regression analyses showed that malnutrition diagnosed using the GLIM criteria was predictive of the FIM-motor score at discharge (ß = -0.347, P < 0.001). CONCLUSIONS: Identifying malnutrition using the GLIM criteria is useful for predicting recovery of activities of daily living in older patients with post-acute stroke.

Relationship between malnutrition and the presence of symptoms of anxiety and depression in hospitalized cancer patients.

BACKGROUND: Anxiety and depression are a common issue in patients with cancer, yet understudied among hospitalized patients. The aim of this study was to estimate the prevalence of anxiety and depression symptomatology in cancer inpatients and its relationship with malnutrition. METHODS: Cross-sectional study in hospitalized cancer patients. A nutritional assessment was done using the Global Leadership Initiative on Malnutrition (GLIM) criteria to diagnose malnutrition. Data regarding anxiety and depression symptomatology was obtained with the Hospital Anxiety and Depression Scale (HADS). RESULTS: A total of 282 inpatients were assessed. GLIM criteria found 20% (66) of well-nourished and 80% (216) with malnutrition. HADS presented an average score of 8.3 ± 4.4 with respect to anxiety and an average score of 7.7 ± 4.6 with respect to depression. Up to 54% of the patients showed a possible presence of anxiety, and 45.3% of them showed a possible presence of depression. In malnourished patients, HADS score was non-significantly higher with respect to anxiety (8.5 ± 4.3 in malnourished vs 7.1 ± 4.6 in well-nourished; p = 0.06) and was significantly higher with respect to depression (8.2 ± 4.6 in malnourished vs 5.3 ± 4.0 in well-nourished; p < 0.001). After controlling for potential confounders, malnourished patients were 1.98 times more likely to present anxious symptomatology (95% CI 1.01-3.98; p = 0.049) and 6.29 times more likely to present depressive symptomatology (95% CI 1.73-20.47; p = 0.005). CONCLUSIONS: The presence of anxiety and depression symptomatology in oncological inpatients is high. There is an association between malnutrition and presenting anxious and depressive symptomatology in hospitalized cancer patients.

Prognostic value of malnutrition evaluated using the Global Leadership Initiative on Malnutrition criteria and its association with psoas muscle volume in non-ischemic dilated cardiomyopathy.

Heart failure (HF) is a systemic inflammatory disease that causes hypotrophy and skeletal muscle loss. The Global Leadership Initiative on Malnutrition (GLIM) criteria have been developed as a novel evaluation index for malnutrition, with reported usefulness in HF caused by ischemic heart disease. However, reports on the usefulness of malnutrition evaluated by the GLIM criteria in non-ischemic dilated cardiomyopathy (NIDCM) and its relationship with psoas muscle volume are lacking. We investigated the prognostic value of malnutrition evaluated using the GLIM criteria and its association with psoas muscle volume in patients with NIDCM. We enrolled 139 consecutive patients with NIDCM between December 2000 and June 2020. Malnutrition was evaluated using the GLIM criteria on admission. The median follow-up period was 4.7 years. Cardiac events were defined as a composite of cardiac death, hospitalization for worsening HF, and lethal arrhythmia. Furthermore, we measured the psoas muscle volume using computed tomography volumetry in 48 patients. At baseline, the median age was 50 years, and 132 patients (95.0%) had New York Heart Association functional class I or II HF. The median psoas muscle volume was 460.8 cm3. A total of 26 patients (18.7%) were malnourished according to the GLIM criteria. The Kaplan-Meier survival analysis showed that malnourished patients had more cardiac events than non-malnourished patients (log-rank, P < 0.001). The multivariate Cox proportional hazards regression analysis revealed that GLIM criteria-based malnutrition was an independent determinant of cardiac events (hazard ratio, 2.065; 95% confidence interval, 1.166-3.656; P = 0.014). Psoas muscle volume, which was assessed in a total of 48 patients, was lower in malnourished than in non-malnourished patients (median, 369.0 vs. 502.3 cm3; P = 0.035) and correlated with body mass index (r = 0.441; P = 0.002). Nutritional screening using the GLIM criteria may be useful in predicting future cardiac events in patients with NIDCM, reflecting a potential relationship between malnutrition and a low psoas muscle volume.

Prevalence of Malnutrition Diagnosed with GLIM Criteria and Association with Activities of Daily Living in Patients with Acute Stroke.

BACKGROUND: Malnutrition is associated with a poor functional outcome in patients with stroke. However, the prevalence of malnutrition diagnosed with the Global Leadership Initiative on Malnutrition (GLIM) criteria or its association with activity of daily living (ADL) in patients with acute stroke have not been reported. OBJECTIVE: To investigate the prevalence of the malnutrition diagnosed with the GLIM criteria and its association with ADL or discharge destination in patients with acute stroke. MATERIALS AND METHODS: In this cross-sectional study, we diagnosed malnutrition with the GLIM criteria and the European Society for Clinical Nutrition and Metabolism (ESPEN) criteria and assessed ADL by functional independence measure motor domain (FIM-M) score in patients with acute stroke. Multivariate regression analysis was used to investigate the relationship between FIM-M score or home discharge and malnutrition defined with GLIM or ESPEN criteria. RESULTS: A total of 115 acute stroke patients (39 females; median age: 72 years) were enrolled in this study. The prevalence of malnutrition according to GLIM-criteria and ESPEN-criteria was 28.7% and 16.5%, respectively. Multivariate analyses for FIM-M score after adjusting for potential confounders showed that GLIM criteria and ESPEN criteria were independently associated with FIM-M score (ß = -0.238, p < 0.001; ß = -0118, p = 0.040, respectively). A multivariate analysis for discharge destination found that only malnutrition from the GLIM criteria was significantly associated with home discharge (OR = 0.08, 95% confidential interval = 0.01-0.69, p = 0.02). CONCLUSIONS: Malnutrition with the GLIM criteria is negatively associated with ADL and is also associated with discharge destination in patients with acute stroke.

The effect of malnutrition on mortality in hospitalized patients with hematologic malignancy.

OBJECTIVES: The aim of this study was to assess the association between malnutrition status with the (Global Leadership Initiative on Malnutrition) GLIM criteria and 1-year mortality in hospitalized patients with hematologic malignancy. METHODS: This study included 120 hospitalized patients with hematologic malignancy. Patients who were at risk of malnutrition with NRS2002 were reevaluated with the GLIM criteria for defined malnutrition. Also, the mid-upper arm circumference (MUAC), calf circumference (CC), and handgrip (HG) were measured, and albumin, C reactive protein (CRP), and total protein were recorded to assess malnutrition-related factors. RESULTS: A total of 120 patients are with lymphoma, leukemia, and myeloma having a rate of 34.2%, 34.2%, and 31.6%, respectively, and risk of malnutrition with NRS2002 was established in 82% of patients. Malnutrition with GLIM criteria was seen in 25.8% of patients. The 1-year mortality rate was 41.7% (n = 50). Malnutrition was associated with higher mortality risk independently with age and duration of diagnosis (HR 3.55 (1.99-6.34), p = 0.001). Low HG (HR 0.51 (0.26-0.99), p = 0.03), low albumin (HR 0.39 (0.2-0.6), p = 0.001), and high CRP (HR 2.39 (1.36-4.20), p = 0.002) were significantly associated with increased mortality risk. In contrast, BMI, MUAC, FFMI, and CC were not associated with higher mortality. CONCLUSION: Malnutrition is high with the GLIM criteria. Hospitalized patients with hematologic malignancy with malnutrition have a higher 1-year mortality risk.

Usefulness of the Global Leadership Initiative on malnutrition (GLIM) criteria in preoperative nutritional assessment of patients with primary lung cancer.

BACKGROUND AND AIMS: The Global Leadership Initiative on Malnutrition (GLIM) developed a new method for evaluating malnutrition; however, no consensus has been reached regarding the use of these criteria. Therefore, this study aimed to investigate the association between nutritional status assessed using the GLIM criteria and outcomes of lung cancer after surgery. METHODS: Patients with non-small cell lung cancer who underwent lung resection and bioelectrical impedance analysis to estimate muscle mass before surgery were included. Their background, pathological stage, recurrence, and prognosis were investigated. Patients were divided into two groups according to the GLIM criteria: normal nutrition and malnutrition groups. RESULTS: The normal and malnutrition groups comprised 110 and 88 patients, respectively. Malnutrition was significantly associated with poor overall survival after surgery (P = 0.025) but not with disease-free survival. Multivariate analysis showed that malnutrition (hazard ratio [HR]:2.374, P = 0.020), advanced pathological stage of lung cancer (HR: 1.919, P = 0.002), and the presence of postoperative complications (HR: 2.035, P = 0.047) were significantly associated with poor overall survival. CONCLUSION: Malnutrition assessed using the GLIM criteria was associated with the prognosis of patients with postoperative non-small cell lung cancer. Preoperative assessment using the GLIM criteria would allow for effective nutritional and rehabilitative interventions to improve prognosis.

Implementation of nutritional screening tools, nutritional assessment tools, and diagnostic criteria for malnutrition in convalescent rehabilitation wards: A nationwide survey.

BACKGROUND & AIMS: The utilization of recommended nutritional assessment measures in rehabilitation settings remains unclear. This study explored methods for identifying nutritional disorders using data from a nationwide survey conducted in convalescent rehabilitation wards. METHODS: This cross-sectional study analyzed the annual survey, including methods for identifying malnutrition, the risk of malnutrition, and overnutrition in Kaifukuki (convalescent) rehabilitation wards. Methods identifying malnutrition and risk of malnutrition were grouped into nutritional screening tools (NSTs), nutritional assessment tools (NATs), diagnostic criteria for malnutrition (DCM), and suboptimal methods (e.g., hypoalbuminemia). NSTs, NATs, and DCM were further categorized as "acceptable tools." The association between applying acceptable tools, hospital-based data (e.g., the number of beds), and ward-based data (e.g., assessor for nutritional status) was analyzed by logistic regression analysis with multiple imputations. RESULTS: In total, 885 hospitals with Kaifukuki rehabilitation wards responded to the survey, and 754 hospitals were included in the analysis. Registered dietitians assessed the nutritional status in 88% of the hospitals, whereas other professionals (e.g., nurses) evaluated the nutritional status in the remainder. NSTs (e.g., Mini Nutritional Assessment Short-Form), NATs (e.g., Subjective Global Assessment), DCM (e.g., Global Leadership Initiative on Malnutrition criteria), and suboptimal tools were used in 13.1%, 5.4%, 4.8%, and 74.6% of cases, respectively. Most hospitals used acceptable measures (e.g., body mass index) for overnutrition (91.2%). Multiple logistic regression analysis showed that assessments by registered dietitians (adjusted odds ratio[OR]: 2.20.95% confidence interval[CI]: 1.09-4.45) and hospital-owned food services, a proxy for limited clinical practice time of dietitians, were associated with a low likelihood of implementing acceptable measures (adjusted OR: 0.64, 95%CI: 0.43-0.97). CONCLUSIONS: Acceptable malnutrition measures, including the NSTs, NATs, and DCM, have not been widely applied in convalescent rehabilitation settings. The implementation of recommended tools for identifying malnutrition may be promoted when registered dietitians assess the patients' nutritional status.

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.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.