Global Leadership Initiative on Malnutrition Criteria and Immunonutritional Status Predict Chemoadherence and Survival in Stage II/III Gastric Cancer Treated with XELOX Chemotherapy.

BACKGROUD: Adjuvant chemotherapy is crucial for the treatment of advanced gastric cancer. However, various factors negatively impact chemoadherence, with malnutrition after gastrectomy being a critical determinant. This study aims to analyze the impact of malnutrition, assessed through the Global Leadership Initiative on Malnutrition (GLIM) and other immunonutritional indices, on chemoadherence and its subsequent effect on survival. METHODS: This retrospective study included 116 patients who underwent curative gastrectomy and received oxaliplatin and capecitabine (XELOX). Preoperative nutritional status was assessed using the GLIM criteria along with other immunonutritional indices, such as the prognostic nutritional index (PNI), C-reactive protein-to-albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), controlling nutritional status (CONUT) score, and modified Glasgow Prognostic Score (mGPS). Chemotherapy adherence was measured using relative dose intensity (RDI). Statistical analyses included least absolute shrinkage and selection operator (LASSO) regression to identify the key predictors of RDI and Cox proportional hazards models and assess the impact on survival. RESULTS: Overall, 116 patients were included in this analysis. In the multivariate analysis using LASSO regression, higher GLIM severity was independently associated with a lower RDI (coefficient = -0.0216; p < 0.01). Other significant factors influencing RDI included older age (p < 0.01), female sex (p = 0.02), higher mGPS (p = 0.03), higher CONUT score (p = 0.04), and higher CAR (p = 0.05), all of which were associated with a lower RDI. The Cox proportional hazards analysis revealed that higher RDI was significantly associated with better survival (hazard ratio [HR] = 0.06; p < 0.005). CONCLUSIONS: This study highlights the critical role of immunonutritional status, particularly as measured using the GLIM criteria, in maintaining adherence to chemotherapy and improving survival outcomes in patients with gastric cancer. Routine preoperative nutritional assessments using GLIM can help identify high-risk patients, and early nutritional interventions may improve chemotherapy adherence and outcomes. These findings support the integration of nutritional strategies, specifically targeting those identified by the GLIM, into standard care to enhance the efficacy and survival of chemotherapy.

Malnutrition defined by global leadership initiative on malnutrition criteria impedes home discharge in acute care hospital admissions.

BACKGROUND & AIMS: Limited evidence exists on the association between malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospitalized acute care patients and their outcomes; several aspects still require clarification. This study aimed to evaluate the relationship between malnutrition, as defined by the GLIM criteria, at the time of acute hospital admission and discharge to home. METHODS: This retrospective observational study was conducted at a hospital that provides acute care in Japan. Adult patients admitted between July 2023 and April 2024 were included in this study. The primary outcome was the number of patients discharged to home, with in-hospital mortality as the secondary outcome. To ensure the reliability of the cohort-wide results, background factors were adjusted using propensity score matching. The two groups were compared based on the presence or absence of malnutrition, as defined by the GLIM criteria at admission. Furthermore, multiple logistic regression analysis was conducted, with the outcome as the dependent variable and malnutrition, diagnosed using the GLIM criteria, as the explanatory variable, adjusting for covariates. RESULTS: A total of 1007 patients were included in the final analysis, of whom 492 (49 %) were diagnosed without malnutrition, while 515 (51 %) were diagnosed with malnutrition according to the GLIM criteria. In the multivariate logistic regression analysis after matching, malnutrition defined by the GLIM criteria emerged as an independent factor associated with discharge to home (odds ratio [OR] = 0.37, 95 % confidence interval = 0.25-0.56, P < 0.001) when adjusting for age, sex, and various comorbidities. Among the GLIM sub-criteria, reduced muscle mass, reduced food intake or assimilation, and disease burden or inflammation were independently associated with discharge to home. Notably, disease burden/inflammation exhibited the lowest OR among the GLIM sub-criteria for discharge. CONCLUSION: Malnutrition diagnosed using the GLIM criteria upon admission in patients admitted to a regional hospital providing acute care was associated with decreased rates of discharge to home and increased in-hospital mortality. Specifically, attention should be paid to the criteria for reduced muscle mass and disease burden or inflammation within the GLIM framework.

Corrigendum: Association of systemic immune-inflammation index with malnutrition among Chinese hospitalized patients: a nationwide, multicenter, cross-sectional study.

[This corrects the article DOI: 10.3389/fnut.2024.1375053.].

Association of systemic immune-inflammation index with malnutrition among Chinese hospitalized patients: a nationwide, multicenter, cross-sectional study.

Background: Systemic immune-inflammation index (SII) is associated with increased risk in a wide range of illnesses. However, few studies have explored the associations between SII and the risk of malnutrition. Therefore, this study aimed to investigate the association between SII and malnutrition in a nationwide, multicenter, cross-sectional study involving Chinese hospitalized patients. Design: From August 2020 to August 2021, a total of 40,379 hospitalized patients met the inclusion and exclusion criteria. Detailed demographic data, diagnoses, as well as physical and laboratory examination results were recorded. The diagnosis of malnutrition was used with two distinct methods: the Malnutrition Screening Tool 2002 (NRS 2002) + Global Leaders Initiative on Malnutrition (GLIM) criteria and the controlling nutritional status (CONUT) score. The risk factors for malnutrition were analyzed using binary logistic regression and multiple logistic regression to obtain odds ratios (OR) and 95% confidence intervals (CI). Restricted cubic spline (RCS), linear spline, and receiver operating characteristic (ROC) analysis were also used. Results: The prevalence of malnutrition diagnosed by the two methods was 13.4% and 14.9%, respectively. In the NRS 2002 + GLIM diagnostic model, lnSII showed statistical significance between the malnutrition and non-malnutrition group (6.28 ± 0.78 vs. 6.63 ± 0.97, p < 0.001). A positive association was observed between higher SII and the risk of malnutrition in both before and after adjustment models compared to the first quartile (Q3 vs. Q1, OR = 1.27, 95%CI: 1.15-1.40; Q4 vs. Q1, OR = 1.83, 95%CI: 1.67-2.00). However, a significant reduction in prevalence was observed when SII was in the second quartile (Q2 vs. Q1, OR < 1), as indicated by a restricted cubic spline with a U trend (p for nonlinear <0.001). According to the CONUT score, the prevalence of individuals with normal nutritional status decreased with increasing SII, while the occurrence of three different degrees of malnutrition generally increased. The Kappa value between the two diagnostic methods was 0.23, and the merged data observed an area under the ROC curve of 0.73 (95%CI: 0.714-0.742). Conclusion: The U-shaped association between SII and the prevalence of malnutrition was observed. Both lower and higher SII levels (either continuous or categorical variable) were significantly associated with an increased risk of malnutrition.

Validation of the Global Leadership Initiative on Malnutrition Criteria for Predicting Adverse Outcomes in Acute Pancreatitis.

Background and Aim: The Global Leadership Initiative on Malnutrition (GLIM) has proposed criteria for the diagnosis of malnutrition. No studies validated the GLIM criteria in acute pancreatitis (AP). The present study aimed to validate the predictive capacity of GLIM criteria for adverse outcomes in AP patients. Patients and Methods: Clinical data of 269 patients with AP were analyzed retrospectively. The Nutritional Risk Screening 2002 (NRS2002) was chosen as the screening tool. Multivariate logistic regression analyses evaluated the adverse clinical outcomes in malnourished patients. Results: Overall, 160 patients (59.5%) were at nutritional risk and 38 (14.1%) were malnourished. Reduced muscle mass/ low body mass index + inflammation combinations contributed most to malnutrition overall and in each subgroup. The malnourished group had lower hemoglobin, neutrophils, albumin, total cholesterol, and triglycerides than the well-nourished group. The malnourished group had higher hospitalization costs (CNY, 11319.34 vs 9258.22, p <0.001) and more local complications (34.2% vs 14.7%, p =0.009) than the well-nourished group. There was an interaction between malnutrition and overweight/obesity on local complications (p for interaction = 0.023). Multivariate logistic regression showed malnutrition was significantly associated with local complications (OR 12.2, 95% CI: 2.51-59.37), infectious complications (OR 9.95, 95% CI: 1.25-79.44) and composite adverse outcome (OR 4.78, 95% CI: 1.05-21.73) in the overweight/obesity subgroup. There was no association between malnutrition and the rate of various adverse outcomes in the non-overweight/obesity subgroup. Additionally, we observed an association between malnutrition and composite adverse outcome (OR 6.75, 95% CI: 1.49-30.68) in patients <70 years only in females. Conclusion: Malnourished AP patients were more likely to have adverse outcomes than well-nourished patients. Malnutrition was associated with various adverse outcomes only in the overweight/obesity subgroups.

The attitudes and knowledge of family physicians regarding malnutrition in the elderly: a call for action.

BACKGROUND: Malnutrition in the elderly places a significant burden on healthcare, social, and aged-care systems, yet it often remains undiagnosed and untreated. This study aims to evaluate family physicians' knowledge and attitudes towards the diagnosis and treatment of malnutrition in the elderly. METHODS: Based on a literature review, an online questionnaire was developed, comprised of seven knowledge-related items and eight attitude-related questions regarding malnutrition in elderly populations. We also assessed the feasibility of including two malnutrition screening questions in regular clinic visits for individuals aged ≥ 70 years. RESULTS: Surveys were completed by 126 physicians (35% response rate), mean age 47.2 ± 12.6 years; 15.6 ± 12.5 years of practice; 67% females; and 92% board-certified family physicians. Moreover, 77.6% agreed that diagnosing malnutrition is important in patients with decreased appetite. Most respondents demonstrated knowledge of nutritional screening principles (63.5%) and recognized that even obese elderly individuals could be malnourished (83.2%). There was partial agreement (60%) that normal BMI values in the elderly differ from those in younger populations. Almost complete agreement was seen for incorporating two nutritional status questions in medical visits (91%), with physicians expressing willingness to receive training in malnutrition identification and screening tools. Despite challenges such as time constraints and limited knowledge, participants were open to conducting biannual malnutrition risk screening for elderly patients. CONCLUSION: We recommend malnutrition screening in primary care followed by malnutrition diagnosis and referral of malnourished patients to the proper intervention.

A modified GLIM criteria-based nomogram for the survival prediction of gastric cancer patients undergoing surgical resection.

BACKGROUND: This study aimed to develop a comprehensive model based on five GLIM variables to predict the individual survival and provide more appropriate patient counseling. METHODS: This retrospective cohort study included 301 gastric cancer (GC) patients undergoing radical resection. C-reactive protein (CRP) as an inflammatory marker was included in GLIM criteria and a nomogram for predicting 5-year overall survival (OS) in GC patients was established. The Bootstrap repeated sampling for 1000 times was used for internal validation. RESULTS: Of the total 301 patients, 20 (6.64%) died within 5 years. CRP improved the sensitivity and accuracy of the survival prediction model (AUC = 0.782, 0.694 to 0.869 for the model without CRP; AUC = 0.880, 0.809 to 0.950 for the model adding CRP). Besides, a GLIM-based nomogram was established with an AUC of 0.889. The C-index for predicting OS was 0.878 (95% CI: 0.823 to 0.934), and the calibration curve fitted well. Decision curve analysis (DCA) showed the clinical utility of the nomogram based on GLIM. CONCLUSION: The addition of CRP improved the sensitivity and accuracy of the survival prediction model. The 5-year survival probability of GC patients undergoing radical resection can be reliably predicted by the nomogram presented in this study.

Modified R-GLIM Score Is a Good Prognostic Tool to Predict a Long-Term Prognosis in Poor Conditioned Elderly Patients with Aspiration Pneumonia, a Pilot Study.

BACKGROUND: While prognostic guidelines for pneumonia have widely allowed clinicians to treat patients, poor prognostic factors for 1- or 2-year survival times have never been mentioned to our knowledge. PATIENTS AND METHODS: We conducted this retrospective study to evaluate whether malnutrition according to the GLIM criteria is a poor prognostic factor for 1- or 2-year survival among patients with aspiration pneumonia. All patients with community-onset aspiration pneumonia who were admitted to Aichi Medical University and had intervention from our nutrition support team (NST) in 2019 and 2020 were enrolled in this study. RESULTS: A total of 56 patients were enrolled in the study. The mean age was 86 ± 6.5 and 25 (45%) were male. Thirty-one patients died during this observational period. Comparing the survival and death group, higher respiratory rate (RR) and malnutrition were seen more frequently in the death group than in the survival group. Then, the patients were divided into the following three groups: those with an RR ≥ 22 and malnutrition, those with malnutrition, and a control group [patients who were not malnourished and had a low RR (<22)]. Comparing the three groups, patients with an RR ≥ 22 and malnutrition had significantly shorter overall survival times (OSs) than those in the other groups (p = 0.009 by Log-Rank test) for 1-year prognosis. The result of 2-year prognosis displayed a statistical significance that was the same as that for 1-year prognosis (p = 0.004 by Log-Rank test). The Cox hazard regression model showed that a higher RR was an independent poor prognostic factor for 1- and 2-year survival among aspiration pneumonia patients. CONCLUSIONS: This pilot study showed that combined scores of higher RR and malnutrition according to the GLIM criteria (modified R-GLIM score) was an independent poor prognostic factor for 1 or 2-year survival among super-elderly patients (aged over 80 years) with aspiration pneumonia.

Nutritional Assessment in Outpatients with Heart Failure.

INTRODUCTION: Heart failure (HF) is associated with significant alterations in body composition, including malnutrition due to insufficient intake, chronic inflammation and increased energy expenditure. Identifying the prevalence of malnutrition and the risk of sarcopenia in patients with HF is crucial to improve clinical outcomes. MATERIAL AND METHODS: This cross-sectional, single-center, observational study involved 121 outpatients diagnosed with HF. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Malnutrition Universal Screening Tool (MUST), and the Subjective Global Rating (SGA). Sarcopenia was screened using the SARC-F (Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls) questionnaire and diagnosed based on the European Working Group in Older People (EWGSOP2) criteria and functionality with the Short Performance Battery (SPPB) test. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS: The study found that 10.7% had cardiac cachexia and 45.4% of deceased patients had been in this condition (p = 0.002). Moderate-to-high risk of malnutrition was identified in 37.1%, 23.9%, and 31.4% of patients according to the MNA, MUST, and SGA tests, respectively. According to the GLIM criteria, 56.2% of patients were malnourished. Additionally, 24.8% of patients had a high probability of sarcopenia, and 57.8% were not autonomous according to SPPB. Patients with less than 30% quadriceps muscle contraction were at a high risk of sarcopenia. CONCLUSIONS: There is a high prevalence of malnutrition among outpatients with HF, which is associated with worse prognosis, increased risk of sarcopenia, and greater frailty. These findings underscore the importance of early nutritional and functional assessments in this population to improve clinical outcomes.

Identifying low muscle mass and monitoring body composition changes in newly diagnosed cancer patients: Agreement between multifrequency bioelectrical impedance analysis and computed tomography.

OBJECTIVES: Low muscle mass (MM) is significant in cancer patients, and computed tomography (CT) is considered the reference standard for MM assessment. We investigated the consistency of CT and multifrequency bioelectrical impedance analysis (mBIA) in detecting body composition at baseline and during anticancer treatment and the relationship between MM and malnutrition as well as complications in lung and cervical cancer patients. METHODS: Abdominal CT and mBIA were conducted to assess body composition at baseline for all patients and repeated for patients with cervical cancer after 4 wk of chemoradiotherapy. Concordance was compared by intraclass correlation coefficient and Bland-Altman plots. Receiver operating characteristic analysis was used to assess the diagnostic efficacy of mBIA for low MM. Correlation analysis was conducted to assess the relationship between MM and Nutritional Risk Screening 2002 and Global Leadership Initiative on Malnutrition. Furthermore, we assessed whether there was a difference in the incidence of chemoradiotherapy side effects in the low MM group derived by CT or mBIA. RESULTS: A total of 77 cervical and 73 lung cancer patients were enrolled. mBIA showed fair discriminative capacity (area under the curve = 0.651) for detecting low MM, the concordance of skeletal MM and visceral fat area between CT and mBIA was good (intraclass correlation coefficient = 0.712 and 0.698, respectively), and mBIA and CT had consistent observations of muscle and fat changes (P = 0.051 and 0.124, respectively). There was no difference in the incidence of chemoradiotherapy side effects in the low MM group compared with controls regardless of whether derived by CT or mBIA (P > 0.05). MM was correlated with Nutritional Risk Screening 2002 and Global Leadership Initiative on Malnutrition but showed unsatisfactory prediction of malnutrition (area under the curve <0.7). CONCLUSIONS: mBIA- and CT-derived body composition was highly correlated, and agreement was reached on body composition changes during treatment.

Albumin-dNLR score could be an etiological criterion to determine inflammation burden for GLIM in medical inpatients over 70 years old: A multicenter retrospective study.

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

Assessment Criteria to Diagnose Malnutrition (Undernutrition and Overnutrition) in Hemodialysis Patients.

OBJECTIVE: This study aimed to determine if adapted Global Leadership Initiative on Malnutrition (GLIM) criteria can diagnose overnutrition, in addition to undernutrition, in hemodialysis patients. Additionally, it compared the adapted GLIM criteria with the subjective global assessment (SGA) for diagnosing undernutrition. METHODS: A cross-sectional, descriptive study design with an analytical component was utilized. An interviewer-administered questionnaire was completed with 116 adult participants from 2 public renal units in Cape Town. Data collection included demographic, medical, and anthropometric information, incorporating the established SGA tool and the adapted GLIM criteria. RESULTS: Of the participants, 58% were female, with a mean age of 41.04 years (SD 10.6). The primary causes of renal failure were hypertension (38%) and glomerular disease (33%). The median weight was 64.74 kg (IQR 16.4), and the mean body mass index (BMI) was 25.44 kg/m2 (SD 4.66). The prevalence of obesity was 20%, and undernutrition was 4% by BMI. Participants from Groote Schuur Hospital had a higher mean BMI (26.40, SD 4.9) than those from Tygerberg Hospital (P = .0033). Abdominal obesity prevalence was 51%, with a mean waist circumference of 87.06 cm (SD 11.37). Using SGA parameters, undernutrition prevalence was 26%, with all classified as SGA-B, compared to 22% by adapted GLIM. Adapted GLIM classified 69.83% as malnourished (overnutrition 47% and undernutrition 22%). For undernutrition, the adapted GLIM had a sensitivity of 75% (CI 64.04, 85.96), specificity of 77.78% (CI 67.26, 88.3), positive predictive value of 69.23% (CI 57.55, 80.91), and negative predictive value of 82.35% (CI 72.71, 92.00). Among those diagnosed with overnutrition by adapted GLIM, 89% were classified as well-nourished by SGA. CONCLUSION: The adapted GLIM criteria effectively assessed overnutrition as well as undernutrition in hemodialysis patients. It identified a significant proportion of patients misclassified as well-nourished by SGA who were actually overnourished. The adapted GLIM showed good sensitivity and specificity for diagnosing undernutrition in this population.

Comparison between AWGC-cachexia and GLIM-malnutrition in patients with gastric cancer.

BACKGROUND: The newly released Asian Working Group for Cachexia (AWGC) criteria share similar diagnostic items with the Global Leadership Initiative on Malnutrition (GLIM) criteria. This study aims to compare the AWGC cachexia and GLIM malnutrition in patients with gastric cancer and investigate whether one diagnosis continues to be a prognostic factor in individuals diagnosed with the other condition. METHODS: Data of patients who underwent radical gastrectomy for gastric adenocarcinoma were prospectively collected from 2013 to 2019. The AWGC and GLIM criteria were applied to diagnosis cachexia and malnutrition, respectively. Univariate and multivariate logistic and Cox regression were used to verify the effect of relevant factors on postoperative complications and overall survival. RESULTS: A total of 1420 patients were included, among whom 174 (12.3 %) were diagnosed with AWGC-cachexia alone, 85 (6.0 %) were diagnosed with GLIM-malnutrition alone, and 324 (22.8 %) had both AWGC-cachexia and GLIM-malnutrition. Both AWGC-cachexia and GLIM-malnutrition were independent risk factors for complications and overall survival. When they coexisted, the odds ratios (OR) and hazard ratios (HR) tended to be higher. In the AWGC-cachexia subset, GLIM-malnutrition remained an independent risk factor (HR = 1.544, 95 % CI = 1.098-2.171, P = 0.012) for overall survival after the adjustment of confounding factors. Similarly, in the GLIM-malnutrition subset, AWGC-cachexia remained an independent risk factor for overall survival (HR = 1.697, 95 % CI = 1.087-2.650, P = 0.020). Patients with both cachexia and malnutrition had the worst overall survival. CONCLUSION: AWGC-cachexia and GLIM-malnutrition criteria were two non-redundancy tools in reflecting mortality risk in preoperative nutritional assessment.

GLIM-defined malnutrition in patients with acute abdomen associated with poor prognosis and increased economic burden: A cross-sectional study.

BACKGROUND: The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological framework for nutrition diagnosis. However, the applicability of the GLIM criteria in patients with acute abdomen has not been validated. METHODS: This is a cross-sectional study conducted on patients diagnosed with acute abdomen and admitted to a tertiary hospital in southwest China. Nutrition risk screening was conducted using the Nutrition Risk Screening 2002, and patients identified with nutrition risk were assessed for malnutrition based on the GLIM criteria. RESULTS: We enrolled a total of 440 patients with acute abdomen. The top three diagnoses of acute abdomen were intestinal obstruction (47.2%), acute appendicitis (23.1%), and digestive system perforation (8.8%). The prevalence of nutrition risk was 46.5%, with a malnutrition rate of 32.5% based on the GLIM. Patients with malnutrition according to the GLIM showed significantly higher rates of intensive care unit (ICU) admission (13.28% vs 7.07%; P = 0.003), increased hospitalization costs (median: 3315USD [interquartile range (IQR): 978-7852] vs 1641 [IQR: 816-3523] USD; P < 0.001), and longer length of hospital stay (LOS) (median: 8 [IQR: 5-13] vs 6 [IQR: 4-8] days; P < 0.001) compared with patients without malnutrition. Multivariate analysis indicated that GLIM-defined malnutrition was an independent predictor of hospitalization costs, and severe malnutrition was an independent predictor of ICU admission. CONCLUSION: GLIM criteria are applicable for diagnosing malnutrition in patients with acute abdomen. The prevalence of malnutrition was high in patients with acute abdomen. Malnutrition was associated with increased ICU admission and LOS, along with higher economic burden.

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.

Change in body weight is positively related to the change in muscle mass of the quadriceps in older inpatients with severely low BMI according to the GLIM criteria.

BACKGROUND & AIMS: Body weight is one of the essential indicators of nutritional status, and body weight management is vital in nutritional care. In addition, low body mass index (BMI) was included as a phenotypic criterion in the Global Leadership Initiative on Malnutrition (GLIM) criteria. Furthermore, low BMI has been used in grading the severity of malnutrition (moderate or severe malnutrition) in the GLIM criteria. A recent cross-sectional study reported that muscle mass of the quadriceps in older inpatients with severely low BMI is less than those of older inpatients with moderately low BMI and non-low BMI. However, the longitudinal relationship between body weight and muscle mass of the quadriceps in older inpatients in each BMI category according to the GLIM criteria remains unclear. This study aimed to examine the longitudinal relationship between body weight and muscle mass of the quadriceps in older inpatients in each BMI category according to the GLIM criteria. METHODS: This retrospective cohort study included 179 older inpatients (aged ≥ 70 years) (median [IQR] age: 84.0 [79.0-89.0]). The period of this study was between January 2017 and March 2020. In accordance with the cut-off value of a low BMI for patients aged ≥ 70 years in the Asian population according to the GLIM criteria, the participants were divided into the following three groups: the severely low BMI group (< 17.8 kg/m2) (n = 47), moderately low BMI group (≥ 17.8 to < 20.0 kg/m2) (n = 38), and non-low BMI group (≥ 20.0 kg/m2) (n = 94). The medians (IQR) of the length of hospital stay of the severely low BMI, moderately low BMI, and non-low BMI groups were 71.0 (49.0-98.0) days, 71.0 (50.0-98.0) days, and 50.5 (36.5-103.0) days, respectively. The primary outcome was a change in muscle mass of the quadriceps. The muscle mass of the quadriceps was examined using ultrasound images (i.e., quadriceps thickness). The changes in quadriceps thickness and body weight were calculated by subtracting the quadriceps thickness and body weight at admission from those values at discharge. Multiple linear regression analysis adjusting for confounding factors was used to determine whether the change in body weight was independently and significantly related to the change in quadriceps thickness in the severely low BMI, moderately low BMI, and non-low BMI groups. RESULTS: The means (SD) of the change in quadriceps thickness of the severely low BMI group, moderately low BMI group, and non-low BMI group were 0.0 ± 0.3 cm, 0.1 ± 0.3 cm, and 0.1 ± 0.5 cm, respectively. The means of the change in body weight in those groups were 0.4 ± 2.8 kg, - 1.1 ± 2.7 kg, and - 1.3 ± 4.3 kg, respectively. In the severely low BMI group, the change in body weight (ß = 0.34, p = 0.006) and quadriceps thickness at admission (ß = -0.62, p < 0.001) were significantly and independently related to the change in quadriceps thickness (R2 = 0.645, f2 = 1.817, statistical power = 1.000). In the moderately low BMI and non-low BMI groups, there were no factors that were significantly and independently related to the change in quadriceps thickness. CONCLUSIONS: The results of this study suggest that change in body weight is positively related to the change in muscle mass of the quadriceps in older inpatients with severely low BMI according to the GLIM criteria. These results imply the importance of body weight management for older inpatients with severely low BMI perspective from the muscle mass of the quadriceps.

Muscle matters: Prognostic implications of malnutrition and muscle health parameters in patients with cancer. A secondary analysis of a randomised trial.

BACKGROUND: Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting malnutrition and muscle health in a well-characterised oncology population at nutritional risk. METHODS: This preplanned secondary analysis included patients with cancer from a Swiss-wide, randomised-controlled nutritional trial. We investigated associations among malnutrition markers (i.e., malnutrition diagnosis based on modified Global Leadership Initiative on Malnutrition (GLIM) criteria, albumin concentration) and muscle health markers (i.e., hand grip strength, computed tomography (CT)-based muscle mass and radiodensity) with 180-day all-cause mortality (primary outcome). RESULTS: We included 269 patients with a main admission diagnosis of cancer and available CT scans. In a mutually adjusted model, four parameters contributed to risk assessment including modified malnutrition diagnosis (GLIM) (HR 1.78 (95%CI 1.17 to 2.69), p = 0.007, AUC 0.58), low albumin concentration (HR 1.58 (95%CI 1.08 to 2.31), p = 0.019, AUC 0.62), low handgrip strength (HR 2.05 (95%CI 1.43 to 2.93), p = 0.001, AUC 0.62) and low muscle radiodensity (HR 1.39 (95%CI 0.90 to 2.16), p = 0.139, AUC 0.63). Combining these parameters resulted in a model with high prognostic power regarding 180-day mortality (overall AUC 0.71). CONCLUSIONS: In this study of inpatients with cancer at nutritional risk, several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality. The use of these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population. TRIAL REGISTRATION: ClinicalTrials.gov, number NCT02517476.

GLIM Achieves Best Diagnostic Performance in Non-Cancer Patients with Low BMI: A Hierarchical Bayesian Latent-Class Meta-Analysis.

CONTEXT: Global Leadership Initiative on Malnutrition (GLIM) and Patient-Generated Subjective Global Assessment (PG-SGA) are commonly used nutrition assessment tools, whose performance does not reach a consensus due to different and imperfect reference standards. OBJECTIVE: This study aimed to evaluate and compare the diagnostic accuracy of GLIM and PG-SGA, using a hierarchical Bayesian latent class model, in the absence of a gold standard. DATA SOURCES: A systematic search was undertaken in PubMed, Embase, and Web of Science from inception to October 2022. Diagnostic test studies comparing (1) the GLIM and/or (2) PG-SGA with "semi-gold" standard assessment tools for malnutrition were included. DATA EXTRACTION: Two authors independently extracted data on sensitivity, specificity, and other key characteristics. The methodological quality of each included study was appraised according to the criteria in the Quality Assessment of Diagnostic Accuracy Studies-2. DATA ANALYSIS: A total of 45 studies, comprising 20 876 individuals evaluated for GLIM and 11 575 for PG-SGA, were included. The pooled sensitivity was 0.833 (95% CI 0.744 to 0.896) for GLIM and 0.874 (0.797 to 0.925) for PG-SGA, while the pooled specificity was 0.837 (0.780 to 0.882) for GLIM and 0.778 (0.707 to 0.836) for PG-SGA. GLIM showed slightly better performance than PG-SGA, with a higher diagnostic odds ratio (25.791 vs 24.396). The diagnostic performance of GLIM was most effective in non-cancer patients with an average body mass index (BMI) of <24 kg/m2, followed by non-cancer patients with an average age of ≥60 years. PG-SGA was most powerful in cancer patients with an average age of <60 years, followed by cancer patients with an average BMI of <24 kg/m2. CONCLUSION: Both GLIM and PG-SGA had moderately high diagnostic capabilities. GLIM was most effective in non-cancer patients with a low BMI, while PG-SGA was more applicable in cancer patients. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42022380409.

Investigation of nutrition status and analysis of 180-day readmission factors in elderly hospitalized patients with COPD.

BACKGROUND AND OBJECTIVE: Malnutrition is prevalent among elderly patients with COPD, who also experience a high rate of readmission. Therefore, it is imperative to investigate the nutrition status of these patients, identify risk factors for readmission, and offer insights for clinical management. To achieve this, a cross-sectional study was conducted to investigate factors influencing nutrition status using GLIM criteria and explore the 180-day readmission factors among hospitalized elderly COPD patients. METHORDS AND RESULTS: The data were collected from a hospital in Southwest China, encompassing a cohort of 319 eligible patients. Among elderly hospitalized COPD patients, the prevalence of malnutrition was 49.53% (158/319). Multivariate logistic regression revealed malnutrition (OR = 3.184), very severe airway obstruction (OR = 3.735), and Number of comorbidities ≥ 3 (OR = 5.754) as significant risk factors for 180-day readmission. CONCLUSIONS: These findings suggest that malnutrition is a prevalent issue among elderly hospitalized patients with COPD and constitutes one of the risk factors contributing to the 180-day readmission rate. Therefore, timely identification and treatment for malnourished patients are crucial.