The Prognostic Role of GLIM Criteria in Postoperative Outcomes after Upper Gastrointestinal Cancer Surgery: A Meta-Analysis of Observational Studies

The GLIM consensus approach to diagnosis of malnutrition: A 5-year update

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 comprised of screening followed by assessment of three phenotypic criteria: weight loss, low BMI, and low muscle mass, and two etiologic criteria: reduced food intake/assimilation, and inflammation/disease burden. This planned update reconsiders the GLIM framework based on published knowledge and experience over the past five years.

METHODS

A GLIM working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM". Prior GLIM activities providing guidance for use of the criteria on muscle mass and inflammation were reviewed. Successive rounds of review and revision were used to achieve consensus.

RESULTS

More than 400 scientific reports are published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgement may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. Following two rounds of review and revision, the working group secured 100 % agreement with the conclusions reported in the 5-year update.

CONCLUSION

Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.

GLIM consensus approach to diagnosis of malnutrition: A 5-year update

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 that comprised screening followed by assessment of three phenotypic criteria (weight loss, low body mass index [BMI], and low muscle mass) and two etiologic criteria (reduced food intake/assimilation and inflammation/disease burden). This planned update reconsiders the GLIM framework based on published knowledge and experience over the past 5 years.

METHODS

A working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM." Prior GLIM guidance activities for using the criteria on muscle mass and inflammation were reviewed. Successive rounds of revision and review were used to achieve consensus.

RESULTS

More than 400 scientific reports were published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgment may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. After two rounds of review and revision, the working group secured 100% agreement with the conclusions reported in the 5-year update.

CONCLUSION

Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.

Complementarity of nutrition risk screening tools with malnutrition diagnosis in patients with cancer: A 12-month follow-up study assessing accuracy metrics and mortality

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) criteria for diagnosing malnutrition were established to provide a standardized approach for diagnosing malnutrition in clinical practice using a nutrition screening tool (NST) as the first step for this process. This study aimed to compare the complementarity of NSTs with the GLIM criteria for malnutrition diagnosis in patients with cancer.

METHODS

Hospitalized patients with different cancer types were evaluated in a prospective cohort study in which they were initially screened using the Patient-Generated Subjective Global Assessment (PG-SGA), Protocol for Nutritional Risk in Oncology (PRONTO), Malnutrition Universal Screening Tool, Nutritional Risk Screening 2002, Malnutrition Screening Tool, and NutriScore for nutrition risk. Malnutrition diagnosis involved phenotypic and etiological criteria as proposed by the GLIM. Complementarity of NST to GLIM criteria was evaluated by calculating accuracy metrics and investigating association with 12-month mortality.

RESULTS

Nutrition risk ranged from 14.8% (NutriScore) to 82.8% (PRONTO) and frequency of malnutrition from 13.8% (with NutriScore) to 88.9% (with PG-SGA). NutriScore presented the lowest negative predictive value (25.1%) whereas PG-SGA presented the highest (58.32%). Regardless of the NST applied, the risk of malnutrition and diagnosis of malnutrition according to the GLIM criteria, combined or isolated, increased the risk of 12-month mortality.

CONCLUSION

All NSTs presented low negative predictive value when their complementarity to GLIM criteria for malnutrition diagnosis was tested. Indeed, patients "at risk" presented similar increased risk of 12-month after discharge mortality in comparison with those at risk and malnourished by the GLIM criteria when all NSTs were applied.

Malnutrition Diagnosed via Global Leadership Initiative on Malnutrition (GLIM) Criteria - Association with Clinical Outcomes and Predictive Value: A Systematic Review of Systematic Reviews

OBJECTIVES

Malnutrition is very common in people with cancer. The Global Leadership Initiative on Malnutrition (GLIM) recommendation on criteria has been proposed as a gold standard for diagnosing malnutrition. The diagnosis of malnutrition includes phenotypic criteria such as unintentional weight loss and etiologic criteria such as reduced food intake. The aim of this review is to summarise the evidence on the GLIM-defined malnutrition association with clinical outcomes and its predictive value.

METHODS

A systematic search was conducted in PubMed, CINAHL, and MEDLINE databases. A total of 6 systematic reviews with and without meta-analysis were identified and included for analysis. Five were systematic reviews with meta-analyses and 1 systematic review without meta-analysis.

RESULTS

GLIM-defined malnutrition is associated with decreased survival, disease-free survival, increased post-operative complications, increased overall complications, and prolonged length of stay. It has predictive value for worsening clinical outcomes.

CONCLUSION

The results support the use of GLIM criteria and indicate their predictive value for clinical outcomes. There is robust evidence indicating the association and predictive value of GLIM-defined malnutrition for clinical outcomes in people with cancer to recommend its use in clinical practice. Thus, the GLIM criteria depend on prior screening tools used and the consistency of muscle mass assessment.

IMPLICATIONS FOR NURSING PRACTICE

Nutrition care is a fundamental aspect of cancer nursing practice and nurses need to be aware of the signs of malnutrition. The GLIM criteria are relevant to be used also in cancer nursing practice for the early detection of malnutrition among people with cancer.

The Predictive Role of Preoperative Malnutrition Assessment in Postoperative Outcomes of Patients Undergoing Surgery Due to Gastrointestinal Cancer: A Cross-Sectional Observational Study

Background: Malnutrition affects patients undergoing surgery for gastrointestinal cancers and contributes to poor postoperative outcomes, including increased complication rates, longer hospital stays, and higher mortality. Despite the availability of several malnutrition screening tools and prognostic scores, their effectiveness in predicting postoperative outcomes remains unclear. This study aimed to compare the predictive accuracy of Patient-Generated Subjective Global Assessment (PG-SGA), Global Leadership Initiative on Malnutrition (GLIM), Geriatric Nutritional Risk Index (GNRI), and Controlling Nutritional Status (CONUT) score for postoperative outcomes in patients undergoing surgery for colorectal, hepato-pancreato-biliary and upper gastrointestinal cancers. Methods: A cross-sectional observational study from March 2022 to October 2023 was conducted in two university surgical departments, after registration on ClinicalTrials database (NCT05795374). Patient characteristics, preoperative nutritional status and postoperative outcomes were analyzed. Results: In total, 480 patients were enrolled. CONUT and GNRI demonstrated high specificity (over 90% and 80%, respectively) for predicting overall complications, major complications, prolonged hospital stay, mortality, and advanced disease stage across all cancer types. Notably, CONUT showed a specificity over 97% and GNRI over 89.7% for colorectal and upper gastrointestinal cancer patients, respectively, despite their lower sensitivity. On the contrary, PG-SGA and GLIM presented better sensitivity (up to 50%), but slightly lower specificity (up to 86.4%). Conclusions: CONUT and GNRI are valuable for ruling out non-at-risk patients for adverse postoperative outcomes, while PG-SGA and GLIM provide better sensitivity. A step-up approach-initial screening with PG-SGA and GLIM, followed by detailed evaluation with CONUT or GNRI- should be validated in future studies across diverse clinical settings.

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.

Bayesian diagnostic test evaluation and true prevalence estimation of malnutrition in gastric cancer patients

BACKGROUND & AIMS

Malnutrition is prevalent among gastric cancer (GC) patients, necessitating early assessment of nutritional status to guide monitoring and interventions for improved outcomes. We aim to evaluate the accuracy and prognostic capability of three nutritional tools in GC patients, providing insights for clinical implementation.

METHODS

The present study is an analysis of data from 1308 adult GC patients recruited in a multicenter from July 2013 to July 2018. Nutritional status was assessed using Nutritional Risk Screening 2002 (NRS-2002), Patient-Generated Subjective Global Assessment (PG-SGA) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Bayesian latent class model (LCM) estimated the malnutrition prevalence of GC patients, sensitivity and specificity of nutritional tools. Cox regression model analyzed the relationship between nutritional status and overall survival (OS) in GC patients.

RESULTS

Among 1308 GC patients, NRS-2002, PG-SGA, and GLIM identified 50.46%, 76.76%, and 68.81% as positive, respectively. Bayesian LCM analysis revealed that PG-SGA had the highest sensitivity (0.96) for malnutrition assessment, followed by GLIM criteria (0.78) and NRS-2002 (0.65). Malnutrition or being at risk of malnutrition were identified as independent prognostic factors for OS. Use any of these tools improved survival prediction in TNM staging system.

CONCLUSION

PG-SGA is the most reliable tool for diagnosing malnutrition in GC patients, whereas NRS-2002 is suitable for nutritional screening in busy clinical practice. Given the lower sensitivity of NRS-2002, direct utilization of GLIM for nutritional assessment may be necessary. Each nutritional tool should be associated with a specific course of action, although further research is needed.

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.

The Prognostic Role of GLIM Criteria in Postoperative Outcomes after Upper Gastrointestinal Cancer Surgery: A Meta-Analysis of Observational Studies

Oncologic patients often suffer from malnutrition, which might negatively affect treatment outcomes. Global Leadership Initiative on Malnutrition (GLIM)-based malnutrition is associated with short- and long-term outcomes in cancer patients. The aim of the current meta-analysis was to determine the impact of GLIM-defined malnutrition on postoperative complications and survival in esophageal and gastric cancer patients. A systematic search was conducted to identify studies published until February 2022 that assessed the association between GLIM criteria and short- and long-term outcomes in esophageal and gastric cancer patients. We included seven observational studies reporting on a total of 3662 patients with esophageal and gastric cancer. GLIM-defined malnutrition was associated with increased overall complications (pooled HR 2.58, 95% CI 1.45-4.59, p = 0.001). Malnutrition was significantly associated with decreased overall survival (pooled HR 1.63, 95% CI 1.18-1.84, p = 0.003) as well as with decreased disease-free survival (pooled HR 1.78, 95% CI 1.36-2.33, p < 0.0001). GLIM-based malnutrition was associated with an increased risk for developing postoperative complications and impaired survival of esophageal and gastric cancer patients. Our findings support the use of GLIM criteria in clinical practice as a relatively simple and reliable tool for assessing the nutritional status of oncologic patients.