Global Leadership Initiative On Malnutrition Research Articles

Cholesterol-modified prognostic nutritional index (CPNI) as an effective tool for assessing the nutrition status and predicting survival in patients with breast cancer

BackgroundMalnutrition is associated with poor overall survival (OS) in breast cancer patients; however, the most predictive nutritional indicators for the prognosis of patients with breast cancer are not well-established. This study aimed to compare the predictive effects of common nutritional indicators on OS and to refine existing nutritional indicators, thereby identifying a more effective nutritional evaluation indicator for predicting the prognosis in breast cancer patients.MethodsThis prospective study analyzed data from 776 breast cancer patients enrolled in the “Investigation on Nutritional Status and its Clinical Outcome of Common Cancers” (INSCOC) project, which was conducted in 40 hospitals in China. We used the time-dependent receiver operating characteristic curve (ROC), Kaplan–Meier survival curve, and Cox regression analysis to evaluate the predictive effects of several nutritional assessments. These assessments included the patient-generated subjective nutrition assessment (PGSGA), the global leadership initiative on malnutrition (GLIM), the controlling nutritional status (CONUT), the nutritional risk index (NRI), and the prognostic nutritional index (PNI). Utilizing machine learning, these nutritional indicators were screened through single-factor analysis, and relatively important variables were selected to modify the PNI. The modified PNI, termed the cholesterol-modified prognostic nutritional index (CPNI), was evaluated for its predictive effect on the prognosis of patients.ResultsAmong the nutritional assessments (including PGSGA, GLIM, CONUT, NRI, and PNI), PNI showed the highest predictive ability for patient prognosis (time-dependent ROC = 0.58). CPNI, which evolved from PNI, emerged as the superior nutritional index for OS in breast cancer patients, with the time-dependent ROC of 0.65. It also acted as an independent risk factor for mortality (p < 0.05). Moreover, the risk of malnutrition and mortality was observed to increase gradually among both premenopausal and postmenopausal age women, as well as among women categorized as non-overweight, overweight, and obese.ConclusionsThe CPNI proves to be an effective nutritional assessment tool for predicting the prognosis of patients with breast cancer.

MALNUTRITION IN COVID-19 SURVIVORS: PREVALENCE AND RISK FACTORS

Abstract Nutritional status is a critical factor throughout COVID-19 disease course. Malnutrition is associated with poor outcomes in hospitalized COVID-19 patients. The aim of our study is to assess the prevalence of malnutrition and identify its risk factors in COVID-19 survivors. 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. Our results showed that the prevalence of malnutrition was 22% at 4-5 months after acute disease. Participants who were not hospitalized during acute COVID-19 showed a higher rate of malnutrition compared to those who needed hospitalization (26% versus 19%, p&amp;lt; 0.01). Malnutrition was diagnosed in 25% COVID-19 survivors over 65 years of age compared to 21% younger participants (p&amp;lt; 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. 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. Our findings highlight the need to implement comprehensive nutritional assessment and therapy as an integral part of care for COVID-19 patients

Malnutrition Screening Tools Are Not Sensitive Enough to Identify Older Hospital Patients with Malnutrition.

This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment-Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment-Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen's kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63-77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32-68%) and moderate-to-high specificity (61-98%). The PPV and NPV ranged from 59 to 94% and 67-86%, respectively. The Cohen's kappa showed poor agreement (k = 0.21-0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66-89%) and a low-to-high specificity (46-95%). The agreement was fair to good (k = 0.33-0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.

Phase angle - A screening tool for malnutrition, sarcopenia, and complications in gastric cancer

Patients with gastric cancer (GC) are more likely to experience malnutrition and muscle wasting. This study aims to investigate the potential of phase angle (PhA) as a screening tool for identifying malnutrition and sarcopenia in GC patients, as well as its association with short-term outcomes after radical gastrectomy. This cross-sectional study enrolled patients diagnosed with GC at The Affiliated People's Hospital of Jiangsu University from October 2021 to September 2022. PhA was measured using bioelectrical impedance analysis. Computed tomography scan images were analyzed for body composition at the level of the third lumbar vertebra. Malnutrition was diagnosed using Global Leadership Initiative on Malnutrition (GLIM) criteria. Sarcopenia diagnosis was based on the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. A total of 248 patients with GC were analyzed, including 188 patients who underwent radical gastrectomy. Of these, 71.4% (n=177) were male and 28.6% (n=71) were female and the median overall age was 68 years (IQR: 61-72 years). According to GLIM criteria, 49.2% (n=122) of patients were malnourished and 19.8% (n=49) had sarcopenia based on AWGS criteria. A one-degree decrease in PhA was significantly associated with GLIM malnutrition (Odds Ratio [OR]=8.108, 95% CI:3.181-20.665) and sarcopenia (OR=2.903, 95% CI:1.170-7.206). PhA exhibited fair to good diagnostic accuracy in identifying GLIM malnutrition (male: AUC=0.797; female: AUC=0.816) and sarcopenia (male: AUC=0.814; female: AUC=0.710). Low PhA (OR=3.632, 95% CI: 1.686-7.824) and operation time (OR=2.434, 95% CI:1.120-5.293) were independently associated with the risk of postoperative complications. PhA can serve as a reliable screening tool for identifying patients at risk of malnutrition, sarcopenia, and postoperative complications in GC.

Application of Global Leadership Initiative on Malnutrition criteria in patients with liver cirrhosis.

The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients. This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes. The optimal cut-off values of L3-SMI were 39.50cm 2 /m 2 for male patients and 33.06cm 2 /m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P =0.012). This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.

Validity of the GLIM criteria for the diagnosis of malnutrition in patients with colorectal cancer: A multicenter study on the diagnostic performance of different indicators of reduced muscle mass and disease severity

ObjectivesTo assess the concurrent and predictive validity of different combinations of Global Leadership Initiative on Malnutrition (GLIM) criteria in patients with colorectal cancer considering different indicators of reduced muscle mass (MM) and the effects of the disease. MethodsA secondary analysis with patients with colorectal cancer. The reduced MM was assessed by arm muscle area, arm muscle circumference, calf circumference, fat-free mass index, skeletal muscle index (SMI) and skeletal muscle. Cancer diagnosis or disease staging (TNM) was considered for the etiologic criterion referred to as the effect of the disease. The other phenotypic and etiologic criteria were also evaluated, and we analyzed 13 GLIM combinations. Concurrent validity between GLIM criteria and Patient-Generated Subjective Global Assessment was evaluated. Logistic and Cox regression were used in the predictive validation. ResultsFor concurrent validity (n = 208), most GLIM combinations (n = 6; 54.5%) presented a moderate agreement with Patient-Generated Subjective Global Assessment and none showed satisfactory sensitivity and specificity (>80%). Reduced MM evaluated by SMI and SMI were present in the GLIM combinations associated with postoperative complications (odds ratio, ≥2.0), independent of other phenotypic and etiologic criteria. The combinations with reduced MM considering any method and fixed phenotypic criteria and TNM were associated with mortality (hazard ratio, ≥2.0). ConclusionsSatisfactory concurrent validity was not verified. The GLIM diagnosis of malnutrition was associated with postoperative complications and mortality.

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

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. 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. 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. 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.

Could global leadership initiative on malnutrition (GLIM) criteria predict postoperative morbidity and mortality in hepato-pancreato-biliary cancer patients? A prospective observational trial

Could global leadership initiative on malnutrition (GLIM) criteria predict postoperative morbidity and mortality in hepato-pancreato-biliary cancer patients? A prospective observational trial

Patient-generated subjective global assessment (PG-SGA) better identifies malnourished patients and better correlates with functional capacity than global leadership initiative on malnutrition (GLIM) criteria

Patient-generated subjective global assessment (PG-SGA) better identifies malnourished patients and better correlates with functional capacity than global leadership initiative on malnutrition (GLIM) criteria

Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition: A modified Delphi approach

The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation in support of the etiologic criterion for inflammation. A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified-Delphi review. A multi-round review and revision process served to develop seven guidance statements. The final round of review was highly favorable with 99% overall "agree" or "strongly agree" responses. The presence of acute or chronic disease, infection or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (mg/dL or mg/L) for the clinical laboratory that is being used. Confirmation of inflammation should be guided by clinical judgement based upon underlying diagnosis or condition, clinical signs, or CRP.

Risk factors for malnutrition in patients with nasopharyngeal carcinoma.

Malnutrition is a common complication in patients with nasopharyngeal carcinoma (NPC). However, there are few studies on risk factors for malnutrition in NPC patients. Our aims were to identify the risk factors for malnutrition in NPC patients. NPC patients were recruited in this cross-sectional study, and they were divided into well-nourished and malnourished groups according to the Global Leadership Initiative on Malnutrition (GLIM). Potential risk factors were initially screened using univariate analysis (p < 0.1), and the selected ones were analyzed by logistic regression analysis (p < 0.05) to identify the risk factors for malnutrition in NPC patients. In total, 305 NPC patients meeting eligibility criteria were enrolled. Multivariate logistic regression analysis revealed that low body mass index (BMI) (OR = 0.596, 95% CI 0.520-0.683, p < 0.001), the high total radiation dose received (OR = 1.046, 95% CI 1.023-1.069, p < 0.001), appetite loss (OR = 2.839, 95% CI 1.269-6.353, p = 0.011), and low PA (OR = 0.993, 95% CI 0.988-0.998, p = 0.008) were risk factors for malnutrition in NPC patients. The low BMI, the high total radiation dose received, appetite loss, and low prealbumin were risk factors for malnutrition in NPC patients.

Sarcopenia predicts postoperative complications and survival in colorectal cancer patients with GLIM-defined malnutrition: Analysis from a prospective cohort study

ObjectiveTo investigate whether sarcopenia could predict postoperative outcomes in patients with colorectal cancer with Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition. MethodsClinical data of patients who underwent radical resection for colorectal cancer were prospectively collected. Sarcopenia was diagnosed by the combination of low handgrip strength and low muscle quantity or quality as measured by abdominal computed tomography (CT) images. Logistic regression analysis and Cox proportional hazards regression analysis were performed to identify independent predictors for postoperative complications and survival, respectively. ResultsA total of 310 patients with colorectal cancer with GLIM-defined malnutrition were included, of which 145 (46.77%) were identified with sarcopenia. Malnutritional patients with sarcopenia had significantly higher incidences of total complications (34.5% versus 15.8%), severe complications (9.7% versus 1.8%), longer lengths of postoperative hospital stay (median, 14 days versus 12 days), and more costs (median, 56,257 RMB versus 49,024 RMB) than those without sarcopenia. Sarcopenia was an independent predictive factor for postoperative complications (OR 2.531, 95% CI 1.451–4.415), overall survival (HR 1.519, 95% CI 1.026–2.248), and disease-free survival (HR 1.847, 95% CI 1.324–2.576). Patients with severe sarcopenia had a higher incidence of severe complications but not total complications or survival than those with not-severe sarcopenia. Moreover, the predictive value of sarcopenia for postoperative complications was attributed to muscle strength and quality but not muscle quantity. ConclusionSarcopenia predicts postoperative complications and survival in patients with colorectal cancer with GLIM-defined malnutrition. Preoperative assessment of sarcopenia is still necessary when nutritional assessment has been well performed.

Malnutrition Is Associated with Diabetic Retinopathy in Patients with Type 2 Diabetes.

The relationship between malnutrition and diabetic retinopathy (DR) is still unclear. The purpose of this study is to investigate the relationship between malnutrition and DR in type 2 diabetic patients. A cross-sectional study was conducted on 612 patients with type 2 diabetes mellitus. Four malnutrition assessment tools: Global Leadership Initiative on Malnutrition (GLIM) criteria, controlling nutritional status (CONUT), nutritional risk index (NRI), and prognostic nutritional index (PNI), were applied to assess the nutritional status of the study population. The association between malnutrition and DR was examined using multivariable logistic regression and ordered logistic regression. The proportion of malnutrition varied from 10.0% to 34.3% in total patients and from 16.3% to 45.1% in DR patients across the assessment tools. DR patients were more likely to be malnourished than patients without DR. The adjusted odds ratios (aOR) and 95% confidence interval (CI) for DR of malnutrition defined by different tools were 1.86 (1.01-3.14) for GLIM criteria, 1.67 (1.04-2.70) for NRI, and 2.24 (1.07-4.69) for PNI. The aOR and 95% CI for the severity of DR of malnutrition defined by different tools were 1.99 (1.12-3.51) for GLIM criteria, 1.65 (1.06-2.58) for NRI, and 2.51 (1.31-4.79) for PNI. Malnutrition was common in DR patients, and it was closely linked to the presence and severity of DR. Diabetic patients with DR should undergo nutritional assessment and early treatment of malnutrition to prevent the onset or progression of DR.

Definition of malnutrition from routinely-collected data for orthopedic surgery research: the global leadership initiative on malnutrition (GLIM) tool and others.

The correct identification of malnourished patients in the context of hip, knee, or spine surgery research would enhance the quality of analytical studies investigating the prediction potential of preoperative nutritional disorders on postoperative recovery. However, accurate malnutrition screening and diagnostic assessment rely on parameters that were not routinely collected in routine practice until a few years ago. The authors of this article present substitute literature-based equations that can be built up using historical routinely collected data to classify patients that had been at risk of malnutrition or malnourished. For what concerns the risk screening, several methods are available to identify patients at risk of over- or undernutrition, encompassing the BWd (body weight difference from the ideal weight), GNRI (geriatric nutritional risk index), INA (instant nutritional assessment), LxA (combination of lymphocyte count and albumin), PMA (protein malnutrition with acute inflammation), PMAC (protein malnutrition with acute and chronic inflammation), IDM (iron deficit malnutrition), and VBD (vitamin B deficit malnutrition). Conversely, the GLIM (global leadership initiative on malnutrition) criteria can be used to assess malnutrition and diagnose subclasses of undernutrition. Rational use of these tools can facilitate the conduction of efficient prospective studies in the future, as well as bespoke retrospective cohort studies and database research.

How Useful are Mid-Arm and Calf Circumferences to Indicate Reduced Muscle Mass in Order to Recognize GLIM-Defined Malnutrition in Elderly Individuals?

The aim of this study was to estimate cutoff values of mid-upper arm circumference (MUAC) and calf circumference (CC) for reduced muscle mass and analyze their accuracy in identifying malnutrition among individuals of 65 years of age or older in Bosnia and Herzegovina. The study is a secondary analysis dataset assessing nutritional risk and malnutrition among 446 community-dwellers and nursing home residents in Bosnia and Herzegovina. Malnutrition assessment included phenotypic criterions (weight loss, low body mass index, and reduced muscle mass) and etiologic criterions (inadequate food intake, disease-related inflammation, or albumin levels) according to recommendations of the Global Leadership Initiative on Malnutrition (GLIM). Receiver operating curves were used to calculate MUAC and CC's cutoff values as compared to the Mini Nutritional Assessment (MNA). The optimal cutoff value for MUAC in men was 24 cm (AUC = 0.910, sensitivity 100%, specificity 77%), and in women 23 cm (AUC = 0.792, sensitivity 64%, specificity 83%). Optimal cutoff value of CC in men was 31 cm (AUC = 0.818, sensitivity 100%, specificity 67%) and in women 29 cm (AUC = 0.882, sensitivity 86%, specificity 74%). Two hundred fifty nine elderly individuals were categorized as malnourished/at risk for malnutrition per MNA. The prevalence of malnutrition based on GLIM criteria ranged from 19% to 30%. The study suggested that MUAC and CC may be used as the alternative indicators of muscle mass when other assessment methods are unavailable. Future validation and reliability studies for GLIM using anthropometric parameters as a proxy of reduced muscle mass are needed.

The impact of malnutrition on mortality and complications of hematopoietic stem cell transplantation in patients with acute leukemia

Malnutrition is common in hematopoietic stem cell transplantation (HSCT) patients. However, there are few studies on the association between malnutrition and post-transplant outcomes, with inconsistent results. No standard screening tool has been established for malnutrition in these patients. Previous research suggests the Global Leadership Initiative on Malnutrition (GLIM) criteria is effective in predicting outcomes in other cancers. This study investigates the link between malnutrition based on the GLIM criteria with mortality and complications following allogeneic HSCT. This single-center, observational, longitudinal, and prospective study of 98 adult leukemia patients at the Hematology Center of Shariati Hospital in Tehran, Iran, monitored patients before transplantation until 100 days after the procedure, focusing on overall survival and mortality as a primary outcome, and secondary endpoints including oral mucositis, acute GVHD, infection during hospitalization, and readmission rates. This study involved 98 allogeneic HSCT patients with a median age of 38 years old, 64.3% with acute myeloid leukemia (AML), and 35.7% with acute lymphoblastic leukemia (ALL). Among them, 26.5% were categorized as malnourished based on GLIM criteria. During 100 days of follow-up, 13 patients died, but there was no significant difference in overall survival and mortality between malnourished and well-nourished patients. Malnourished patients demonstrated a noticeable upward trend in the incidence of oral mucositis, hospital readmission, and infection during their hospitalization. It is important to highlight that although this observed trend is discernible, it did not attain statistical significance in statistical analyses (P>0.05). The current study determined that, when assessed using the GLIM criteria, malnutrition did not exert a statistically significant influence on survival, mortality, or complications within the specified age range of 18-55 years, underscoring its limited impact on this cohort of younger patients.

The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam.

As sufficient nutrition helps alleviate catabolic stress and modulate the systemic inflammatory response of the body, it plays an indispensable role in the good prognosis of critically ill patients. Thus, this study aimed to investigate the malnutrition of patients with severe COVID-19 and its association with adverse treatment outcomes. We conducted a retrospective cross-sectional study in two provincial hospitals in Hanoi from February to April 2022. Participants were patients with severe COVID-19 admitted to the Intensive Care Unit (ICU). Malnutrition risk were evaluated by Nutritional Risk Screening-2002 (NRS), Global Leadership Initiative on Malnutrition (GLIM), Prognostic Nutritional Index (PNI), and the adverse prognosis was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II). The multivariate receiver-operating characteristic (ROC) curve was applied to estimate the predictive ability of those criteria regarding worse treatment results. The percentages of malnutrition measured by NRS, GLIM, PNI, and BMI were 62.6, 51.5, 42.9, and 16.6%, respectively. Patients with more severe malnutrition assessed by GLIM, PNI, and having above target fasting blood glucose (FBG) (≥10.0 mmol/L) were more likely to have higher APACHE scores. PNI had a better diagnostic performance than NRS and BMI (AUC = 0.84, 0.81, and 0.82, respectively). In addition, FBG revealed a good prognostic implication (AUC = 0.84). A relatively high percentage of patients experienced moderate and severe malnutrition regardless of screening tools. Individuals at higher risk of malnutrition and high FBG were predicted to have more adverse treatment outcomes. It is recommended that nutritional screening should be conducted regularly, and personalizing nutritional care strategies is necessary to meet patients' nutrient demands and prevent other nutrition-related complications.

Comparison of three malnutrition screening tools prior to allogeneic hematopoietic stem-cell transplantation.

Previous studies have shown that malnutrition before hematopoietic stem cell transplantation (HSCT) is associated with poor patient prognoses. There is inconsistency among studies on which nutritional status screening tool is appropriate for malnutrition diagnosis before allo-HSCT. The present study aimed to compare nutritional screening tools in patients with leukemia before allo-HSCT. An observational, cross-sectional, and single-center study was conducted in Tehran, Iran. One hundred four adults allo-HSCT candidates aged 18-55 years with leukemia were selected sequentially. Malnutrition assessment was done using three tools, the Global Leadership Initiative on Malnutrition (GLIM), nutritional risk screening 2002 (NRS-2002) and European Society for Clinical Nutrition and Metabolism (ESPEN) criteria. The agreement between malnutrition assessment tools was evaluated with Cohen's kappa. The agreement between GLIM and NRS-2002 was perfect (κ = 0.817, p < 0.001), while the agreement between GLIM and ESPEN was fair (κ = 0.362, p < 0.001). The agreement between NRS-2002 and ESPEN was fair (κ = 0.262, p < 0.001). We also found a moderate agreement for all tools (κ = 0.489, p < 0.001). NRS-2002 is an accepted tool for screening malnutrition in hospitalized patients. In the current study, the GLIM criterion perfectly agreed with the NRS-2002. Further studies in the HSCT setting are needed to introduce a valid tool.

Association of Malnutrition Diagnosed Using Global Leadership Initiative on Malnutrition Criteria with Severe Postoperative Complications After Gastrectomy in Patients with Gastric Cancer.

Background: The purpose of this study was to investigate the relationship between malnutrition assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria and the occurrence of severe postoperative complications (SPCs) after gastrectomy in patients with gastric cancer. Methods: A total of 220 patients with gastric cancer were included in this retrospective study. According to the GLIM criteria, the first step was to use the Nutrition Risk Screening Score 2002 to conduct nutritional risk screening for patients and the second step was to diagnose and grade the severity of malnutrition in patients at risk of malnutrition. According to the Clavien-Dindo classification system, SPCs were defined as C-D Grade IIIa or higher. Results: Overall, 66 (30.0%) patients were diagnosed with malnutrition, including 32 (14.5%) with moderate malnutrition and 34 (15.5%) with severe malnutrition. The incidence of SPCs was 14.5%, and the most frequent postoperative event was anastomotic leakage. In the multivariate regression analysis, malnutrition was considered an independent risk factor for SPCs (P < .001). After adjusting for various factors, the grading association remained statistically significant. Compared with patients with normal nutrition, patients with moderate and severe malnutrition have a nearly 15-fold (OR = 15.682, 95% CI: 4.481-54.877, P < .001) and 20-fold (OR = 20.554, 95% CI: 5.771-73.202, P < .001) increased risk of developing SPCs, respectively. Conclusions: Malnutrition assessed by GLIM was an independent risk factor for SPCs in gastric cancer patients. Therefore, early identification of malnourished patients is crucial for timely implementation of nutritional treatment and reducing the occurrence of postoperative complications.

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

ObjectivesThe 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 methodsA 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. ResultsA 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 (β = −0.347, P < 0.001). ConclusionsIdentifying malnutrition using the GLIM criteria is useful for predicting recovery of activities of daily living in older patients with post-acute stroke.