Association of Malnutrition, as Defined by the PG-SGA, ESPEN 2015, and GLIM Criteria, With Complications in Esophageal Cancer Patients After Esophagectomy

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.

Routine assessment of nutritional, functional and inflammatory criteria in patients with cancer: A systematic review

BACKGROUND

The review discusses the significant impact of cancer on patients, particularly focusing on cachexia - a condition marked by weight and lean tissue loss. This condition critically affects the nutritional status, quality of life, and treatment outcomes of cancer patients.

RESEARCH QUESTION

The review seeks to understand the effectiveness and necessity of routine clinical monitoring of cancer cachexia, and how it can aid in better therapeutic interventions.

METHODS

The systematic review followed a pre-defined protocol based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)statement. A systematic search using specific keywords was conducted in PubMed and EMBASE databases on October 24, 2023, supplemented by citations from the original papers. The selection process involved screening titles and abstracts for relevance.

RESULTS

The review finds varying levels of effectiveness in the different measurement criteria used for monitoring cachexia. It highlights the potential of the Global Leadership Initiative on Malnutrition (GLIM) framework in defining and managing cancer cachexia, though noting some challenges in standardisation and implementation of measurements.

CONCLUSION

The present systematic review highlights the variability and lack of standardization in the application of GLIM criteria for monitoring cachexia in cancer patients. Despite these challenges, it will be important to determine the most efficacious clinically routine nutritional and inflammation assessments in the routine application of GLIM criteria assessment.

Relationship Between Preoperative Nutritional Indicators and Postoperative Complications in Patients with Oesophageal Cancer: A Meta-Analysis

Nutritional status is an essential factor in the occurrence of complications in patients with esophageal cancer. We sought to assess the relationship between malnutrition and complications using various nutritional assessment indicators. We conducted a comprehensive literature search of medical databases for articles published up to July 2023. The primary outcome indicator is the occurrence of complications, for which we combined 95% confidence intervals (CIs) and odds ratios (ORs) for postoperative complications and analyzed them using a random effects model. The analysis was carried out using STATA15.0 software. A total of 33 study groups from 22 publications with 5,675 subjects were included. Pooled results show that nutritional indicators are strongly correlated with the occurrence of postoperative complications (OR = 1.45, 95% CI: 1.30-1.62). In the subgroup analyses, comprehensive indicators and the skeletal muscle index were significantly associated with complications, whereas laboratory indicators were not associated with complications (comprehensive indicators OR = 2.68, 95% CI: 1.80-4.00; skeletal muscle index OR = 2.93, 95% CI: 1.44-5.99; laboratory indicators OR = 1.05, 95% CI: 0.96-1.16). Patients with normal body mass index and hospitalized patients were more likely to develop complications. Malnutrition is strongly associated with the development of complications. Nutritional indicators and patient characteristics influenced this relationship.

ESPEN Guidelines on Clinical nutrition in surgery - Special issues to be revisited

The ESPEN Guidelines on Clinical nutrition in Surgery from 2017 has been also available as practical guideline with algorithms since 2021 (www.espen.org). An update will be perfomed in the near future. This review focuses on recent data with regard to special issues and topics to be revisited in the guidelines: These are nutritional assessment, sarcopenic obesity, prehabilitation, oral/enteral immunonutrition, postoperative oral supplementation in hospital and after discharge.

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

OBJECTIVES

To 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.

METHODS

A 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.

RESULTS

For 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).

CONCLUSIONS

Satisfactory concurrent validity was not verified. The GLIM diagnosis of malnutrition was associated with postoperative complications and mortality.

Nutritional Assessment Tools for Patients with Cancer: A Narrative Review

Cancer patients are at high risk of malnutrition, which can lead to adverse health outcomes such as prolonged hospitalization, increased complications, and increased mortality. Accurate and timely nutritional assessment plays a critical role in effectively managing malnutrition in these patients. However, while many tools exist to assess malnutrition, there is no universally accepted standard. Although different tools have their own strengths and limitations, there is a lack of narrative reviews on nutritional assessment tools for cancer patients. To address this knowledge gap, we conducted a non-systematic literature search using PubMed, Embase, Web of Science, and the Cochrane Library from their inception until May 2023. A total of 90 studies met our selection criteria and were included in our narrative review. We evaluated the applications, strengths, and limitations of 4 commonly used nutritional assessment tools for cancer patients: the Subjective Global Assessment (SGA), Patient-Generated Subjective Global Assessment (PG-SGA), Mini Nutritional Assessment (MNA), and Global Leadership Initiative on Malnutrition (GLIM). Our findings revealed that malnutrition was associated with adverse health outcomes. Each of these 4 tools has its applications, strengths, and limitations. Our findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer patients. It is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.

Anthropometric measures and physical examination could be used to assess phenotypic GLIM (Global leadership initiative on malnutrition) criteria in heart failure patients

BACKGROUND AND AIMS

The assessment of muscle mass using technology-based methods is less commonly performed when applying the Global Leadership Initiative on Malnutrition (GLIM) criteria due to the lack of skilled clinical nutrition practitioners and/or equipment. Based on the predictive validity of poor health outcomes and feasibility in clinical practice, this study aimed to analyze whether the measurement of calf circumference (CC), mid-upper arm circumference (MAC), and the physical examination could be used as substitutes for muscle mass assessment, as well as handgrip strength (HGS) used as a substitution when applying the GLIM criteria in hospitalized HF patients.

METHODS AND RESULTS

From June 2022 to January 2023, a single-center prospective study including 216 patients was performed. Additionally, covariates were identified by a directed acyclic graph. The multivariate logistic regression analysis was also used to analyze and compare the association between poor health outcomes and malnutrition (based on 5 types of GLIM criteria). Cohen-kappa coefficient and TELOS-feasibility score were calculated. The prevalence of malnutrition ranged from 35.2% to 42.6%, depending on the tool used. After adjusting for covariates, malnutrition assessed using CC, MAC, or physical examination within the GLIM criteria was independently associated with poor clinical outcomes (90-day HF-related readmission or all-cause mortality and prolonged hospital stay) but not with HGS.

CONCLUSION

CC, MAC and results from physical examination but not HGS may serve as a substitutive metric of muscle mass contained in the GLIM criteria to diagnose malnutrition and predict poor clinical outcomes among HF patients.

REGISTRATION NUMBER

This study was registered at Chinese Clinical Trial Registry. (ChiCTR2200057876) on 20 Mar. 2022.

Preoperative inspiratory muscle weakness as a risk factor of postoperative pulmonary complications in patients with esophageal cancer

OBJECTIVE

We examined whether preoperative inspiratory muscle weakness (IMW) is a risk factor for postoperative pulmonary complications (PPCs) in patients with esophageal cancer who underwent subtotal esophagectomy.

METHODS

This single-center retrospective cohort study enrolled patients with esophageal cancer who underwent a scheduled subtotal esophagectomy between June 2020 and May 2022. Maximal inspiratory pressure (MIP) was measured as inspiratory muscle strength using a respiratory dynamometer, and we defined IMW as MIP < 80% of the predicted value. Our primary outcome comprised overall PPCs. We investigated the relationship between IMW and PPCs using the Bayesian logistic regression model.

RESULTS

After exclusion, 72 patients were included in this study. IMW was identified in 26 patients (36%), and PPCs developed in 28 patients (39%). Among patients with IMW, 15 (58%) developed PPCs. Preoperative IMW was associated with PPCs (mean odds ratio [OR]: 3.58; 95% credible interval [95% CrI]: 1.29, 9.73) in the unweighted model. A similar association was observed in the weighted model adjusted for preoperative and intraoperative contributing factors (mean OR: 4.15; 95% CrI: 2.04, 8.45).

CONCLUSIONS

Preoperative IMW was associated with PPCs in patients with esophageal cancer who underwent subtotal esophagectomy. This association remained after adjusting for preoperative and intraoperative contributing factors.

Nutritional status and post-operative complications in patients undergoing surgery for advanced pharyngeal or laryngeal cancer

PURPOSE

Malnutrition is an important prognostic indicator of post-operative outcomes in patients undergoing surgery for head and neck cancer, however, limited studies utilize validated nutrition assessment tools to accurately assess risk. The aim of this study was to determine the relationship between nutritional status on post-operative complications and length of stay for patients undergoing either a laryngectomy, pharyngectomy or pharyngolaryngectomy for head and neck cancer.

METHODS

Patients with head and neck cancer undergoing a laryngectomy, pharyngectomy or pharyngolaryngectomy at a tertiary hospital in Australia were eligible for this retrospective cohort study (n = 40). Nutritional status was assessed by the dietitian on admission using the validated Subjective Global Assessment tool. Clinical outcomes were collected via retrospective chart review and included length of stay and post-operative complications.

RESULTS

Pre-operative malnutrition incidence was 40%. Malnourished patients had higher incidences of any type of complication (57% vs 44%, p = 0.013) and pressure injury (86% vs 14%, p = 0.011) compared to well-nourished patients. Well-nourished patients had a clinically important shorter median length of stay compared to malnourished patients (17.5 vs 20 days).

CONCLUSION

Early identification and management of malnutrition is essential to minimize risk of post-operative complications and reduce length of stay and should be considered a key component of prehabilitation programs.

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

BACKGROUND & AIMS

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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 relationship between GLIM-malnutrition, post-operative complications and long-term prognosis in elderly patients undergoing colorectal cancer surgery

Background

Elderly people and patients with colorectal cancer (CRC) are both at high risk of malnutrition. Therefore, it is of great significance to explore suitable malnutrition screening and diagnostic indicators for elderly patients with CRC. Recently, the Global Leadership Initiative on Malnutrition (GLIM) proposed new diagnostic criteria for malnutrition. The aim of this article was to evaluate the diagnostic value of GLIM criteria for malnutrition in elderly colorectal patients. We explored the relationship between GLIM-malnutrition, post-operative complications and the long-term prognosis of elderly colorectal patients.

Methods

Elderly patients (aged ≥65 years) who underwent CRC surgery from January 2015 to December 2018 were included. Malnutrition was diagnosed based on the GLIM criteria. The relationships between GLIM-malnutrition and clinical characteristics were analyzed by t-tests, Mann-Whitney U tests, and chi-squared tests. The relationships between GLIM-malnutrition and post-operative complications were analyzed by chi-squared tests, and logistic regression analyses. The relationships between GLIM-malnutrition and the long-term prognosis were analyzed by Kaplan-Meier analyses and logistic and Cox regression analyses.

Results

A total of 385 elderly patients were included in this study, and 118 patients (30.65%) were diagnosed with malnutrition according to the GLIM criteria. GLIM-malnutrition was significantly associated with older age, lower body mass index (BMI), lower grip strength, tumor location, higher Nutrition Risk Screening 2002 (NRS-2002), and lower levels of albumin and hemoglobin. GLIM-malnutrition was an independent risk factor [odds ratio (OR): 1.753, 95% confidence interval (CI): 1.100-2.795, P=0.018] for post-operative complications. Cox regression analysis showed that GLIM-malnutrition was an independent risk factor for overall survival in elderly patients with CRC.

Conclusions

The GLIM criteria are feasible diagnostic criteria for malnutrition of elderly patients with CRC. GLIM-malnutrition is significantly associated with post-operative complications and overall survival in elderly patients with CRC.

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

Background

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.

Methods

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.

Results

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).

Conclusion

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.

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.

Machine Learning-Based Prediction of Complications and Prolonged Hospitalization with the GLIM Criteria Combinations Containing Calf Circumference in Elderly Asian Patients

BACKGROUND AND AIMS

Malnutrition is widely present and influences the prognosis of elderly inpatients, so it is helpful to be able to identify it with a convenient method. However, in the widely accepted criteria for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM), a lot of metrics can be used to define the phenotypic and etiological criteria. To identify muscle mass reduction, anthropometric parameters such as calf circumference (CC) and hand grip strength (HGS) are preferable to other expensive methods in many situations because they are easy and inexpensive to measure, but their applicability needs to be verified in specific clinical scenarios. This study aims to verify the value of CC- and HGS-identified muscle loss in diagnosing malnutrition and predicting in-hospital complications (IHC) and prolonged length of hospital stay (PLOS) in elderly inpatients using machine learning methods.

METHODS

A sample of 7122 elderly inpatients who were enrolled in a previous multicenter cohort study in China were screened for eligibility for the current study and were then retrospectively diagnosed for malnutrition using 33 GLIM criteria that differ in their combinations of phenotypic and etiological criteria, in which CC or CC+HGS were used to identify muscle mass reduction. The diagnostic consistency with the subjective global assessment (SGA) criteria at admission was evaluated according to Kappa coefficients. The association and the predictive value of the GLIM-defined malnutrition with 30-day IHC and PLOS were evaluated with logistic regression and randomized forest models.

RESULTS

In total, 2526 inpatients (average age 74.63 ± 7.12 years) were enrolled in the current study. The prevalence of malnutrition identified by the 33 criteria combinations ranged from 3.3% to 27.2%. The main IHCs was infectious complications (2.5%). The Kappa coefficients ranged from 0.130 to 0.866. Logistic regression revealed that malnutrition was identified by 31 GLIM criteria combinations that were significantly associated with 30-day IHC, and 22 were significantly associated with PLOS. Random forest prediction revealed that GLIM 15 (unconscious weight loss + muscle mass reduction, combined with disease burden/inflammation) performs best in predicting IHC; GLIM 30 (unconscious weight loss + muscle mass reduction + BMI reduction, combined with disease burden/inflammation) performs best in predicting PLOS. Importantly, CC alone performs better than CC+HGS in the criteria combinations for predicting adverse clinical outcomes.

CONCLUSION

Muscle mass reduction defined by a reduced CC performs well in the GLIM criteria combinations for diagnosing malnutrition and predicting IHC and PLOS in elderly Asian inpatients. The applicability of other anthropometric parameters in these applications needs to be further explored.

Improving physician documentation for malnutrition: A sustainable quality improvement initiative

This study compares documentation and reimbursement rates before and after provider education in nutritional status documentation. Our study aimed to evaluate accurate documentation of nutrition status between registered dietitian nutritionists and licensed independent practitioners before and after the implementation of a dietitian-led Nutrition-Focused Physical Exam intervention at an academic medical center in the southeastern US. ICD-10 codes identified patients from 10/1/2016-1/31/2018 with malnutrition. The percentage of patients with an appropriate diagnosis of malnutrition and reimbursement outcomes attributed to malnutrition documentation were calculated up to 24 months post-intervention. 528 patients were analyzed. Pre-intervention, 8.64% of patients had accurate documentation compared to 46.3% post-intervention. Post-intervention, 68 encounters coded for malnutrition resulted in an estimated $571,281 of additional reimbursement, sustained at 6, 12, 18, and 24 months. A multidisciplinary intervention improved physician documentation accuracy of malnutrition status and increased reimbursement rates.

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.

Prevalence of malnutrition based on global leadership initiative in malnutrition criteria for completeness of diagnosis and future risk of malnutrition based on current malnutrition diagnosis: systematic review and meta-analysis

Background

The proposal of the global leadership initiative in malnutrition (GLIM) criteria has received great attention from clinicians. The criteria are mainly used in the research environment and have the potential to be widely used in the clinic in the future. However, the prevalence of malnutrition and risk of future malnutrition based on a current diagnosis of malnutrition are worth exploring.

Methods

A systematic search of PubMed, Embase, and the Cochrane Library was performed from the earliest available date to 1 February 2023. According to the diagnostic criteria of the GLIM, we analysed the prevalence of malnutrition by directly adopting the GLIM criteria for diagnosis without a previous nutritional risk screening (one-step approach) and by adopting the GLIM criteria for diagnosis after a nutritional risk screening (two-step approach). The main outcome was the prevalence of malnutrition based on the one-and two-step approaches. Secondary outcomes were the future risk of malnutrition based on the GLIM diagnosis, including mortality within and beyond 1 year. primary outcomes were pooled using random-effects models, and secondary outcomes are presented as hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

A total of 64 articles were included in the study, including a total of 47,654 adult hospitalized patients and 15,089 malnourished patients based on the GLIM criteria. Malnutrition was diagnosed by the one-step approach in 18 studies and by the two-step approach in 46 studies. The prevalence of malnutrition diagnosed by the one-and two-step approaches was 53% (95% CI, 42%-64%) and 39% (95% CI, 0.35%-0.43%), respectively. The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was quite different; the prevalence of malnutrition diagnosed by the Nutritional Risk Screening 2002 (NRS2002) GLIM tool was 35% (95% CI, 29%-40%); however, the prevalence of malnutrition diagnosed by the Mini Nutrition Assessment (MNA) GLIM tool was 48% (95% CI, 35%-62%). Among the disease types, the prevalence of malnutrition in cancer patients was 44% (95% CI, 36%-52%), while that in acute and critically ill patients was 44% (95% CI, 33%-56%). The prevalence in patients in internal medicine wards was 40% (95% CI, 34%-45%), while that in patients in surgical wards was 47% (95% CI, 30%-64%). In addition, the mortality risk within 1 year (HR, 2.62; 95% CI, 1.95-3.52; I² = 77.1%) and beyond 1 year (HR, 2.04; 95% CI, 1.70-2.45; I² = 59.9%) of patients diagnosed with malnutrition by the GLIM criteria was double that of patients with normal nutrition.

Conclusion

The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was significantly lower than the prevalence of malnutrition diagnosed directly by the GLIM criteria. In addition, the mortality risk was significantly greater among malnourished patients assessed by the GLIM criteria.Systematic review registration: identifier CRD42023398454.

Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter study

BACKGROUND & AIMS

The present study aimed to compare the ability of the GLIM criteria, PG-SGA and mPG-SGA to diagnose malnutrition and predict survival among Chinese lung cancer (LC) patients.

METHODS

This was a secondary analysis of a multicenter, prospective, nationwide cohort study, 6697 LC inpatients were enrolled between July 2013 and June 2020. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), and quadratic weighted Kappa coefficients were calculated to compare the ability to diagnose malnutrition. There were 754 patients who underwent follow-up for a median duration of 4.5 years. The associations between the nutritional status and survival were analyzed by the Kaplan-Meier method and multivariable Cox proportional hazard regression models.

RESULTS

The median age of LC patients was 60 (53, 66), and 4456 (66.5%) were male. There were 617 (9.2%), 752 (11.2%), 1866 (27.9%), and 3462 (51.7%) patients with clinical stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ LC, respectively. Malnutrition was present in 36.1%-54.2% (as evaluated using different tools). Compared with the PG-SGA (used as the diagnostic reference), the sensitivity of the mPG-SGA and GLIM was 93.7% and 48.3%; the specificity was 99.8% and 78.4%; and the AUC was 0.989 and 0.633 (P < 0.001). The weighted Kappa coefficients were 0.41 for the PG-SGA vs. GLIM, 0.44 for the mPG-SGA vs. GLIM, and 0.94 for the mPG-SGA vs PG-SGA in patients with stage Ⅰ-Ⅱ LC. These values were respectively 0.38, 0.39, and 0.93 in patients with stage Ⅲ-Ⅳ of LC. In a multivariable Cox analysis, the mPG-SGA (HR = 1.661, 95%CI = 1.348-2.046, P < 0.001), PG-SGA (HR = 1.701, 95%CI = 1.379-2.097, P < 0.001) and GLIM (HR = 1.657, 95%CI = 1.347-2.038, P < 0.001) showed similar death hazard ratios.

CONCLUSIONS

The mPG-SGA provides nearly equivalent power to predict the survival of LC patients as the PG-SGA and the GLIM, indicating that all three tools are applicable for LC patients. The mPG-SGA has the potential to be an alternative replacement for quick nutritional assessment among LC patients.

Comparison of GLIM and PG-SGA for predicting clinical outcomes of patients with esophageal squamous carcinoma resection

OBJECTIVE

to determine the validity of the Global Leadership Initiative on Malnutrition (GLIM) against the Patient Generated-Subjective Global Assessment (PG-SGA) as a gold standard tool in malnutrition diagnosis, and to assess the impact of malnutrition diagnosed using GLIM and PG-SGA on the clinical outcomes of patients with esophageal squamous carcinoma (ESCC) resection.

METHODS

we prospectively analyzed 182 patients with ESCC who underwent radical esophagectomy. Preoperative malnutrition was diagnosed using GLIM and PG-SGA, and the postoperative clinical outcomes, including postoperative complications, postoperative chest tube indwelling time, length of stay and total hospitalization cost, were recorded. The association between the prevalence of malnutrition defined by the two tools and postoperative clinical outcomes was evaluated.

RESULTS

among the 182 ESCC patients, the incidence of malnutrition before surgery was 58.2 % and 48.4 % defined by PG-SGA and GLIM, respectively. GLIM and PG-SGA had good consistency in nutritional assessment of ESCC patients (k = 0.628, p < 0.001). Malnourished patients had higher TNM stages and older ages (all p < 0.05). Patients with malnutrition as assessed by PG-SGA and GLIM had a higher incidence of postoperative complications, a longer indwelling time of chest tube after esophagectomy, longer hospital length of stay, and higher hospitalization costs than patients with good nutrition (p < 0.001). Comparing the predictive efficiency of postoperative complications, the sensitivity of PG-SGA- and GLIM-defined malnutrition were 81.6 % and 79.6 %, the specificity were 50.4 % and 63.2 %, the Youden index were 0.320 and 0.428, and the Kappa value were 0.110 and 0.130, respectively. The areas under ROC curve of PG-SGA- and GLIM-defined malnutrition and postoperative complications were 0.660 and 0.714, respectively.

CONCLUSIONS

this study indicates the effectiveness of malnutrition diagnosed according to GLIM and PG-SGA in predicting postoperative clinical outcomes among patients with ESCC. Compared with PG-SGA, GLIM criteria can better predict postoperative complications of ESCC. Follow-up analysis of postoperative long-term survival is needed to explore the association between different assessment tools and postoperative long-term clinical outcomes.

Current status of the association between malnutrition defined by the GLIM criteria and postoperative outcomes in gastrointestinal surgery for cancer: a narrative review

In 2018, the Global Leadership Initiative on Malnutrition consortium published global consensus diagnostic criteria for malnutrition and highlighted the association between malnutrition and poor postoperative outcomes in patients with gastrointestinal cancer. The aforementioned criteria consist of phenotypic and etiologic criteria to diagnose malnutrition in individuals who undergo conventional screening to determine the at-risk population. Recent studies have reported the usefulness of prediction of postoperative outcomes using body mass index, weight loss, and reduced muscle mass as phenotypic criteria. Reduced muscle mass is an essential diagnostic criterion for sarcopenia, which is associated with poor outcomes in patients with cancer. The Global Leadership Initiative on Malnutrition criteria define reduced muscle mass as undernutrition. Malnutrition diagnosed based on the Global Leadership Initiative on Malnutrition criteria is an important risk factor for postoperative complications and also an independent poor prognostic factor for long-term outcomes; greater severity of malnutrition is associated with poorer outcomes. The current Global Leadership Initiative on Malnutrition criteria for malnutrition accurately predict outcomes, including postoperative complications and long-term prognosis; however, a revision may be warranted to ensure consistency with the diagnostic criteria for sarcopenia. Patients diagnosed with malnutrition based on the Global Leadership Initiative on Malnutrition criteria should be targeted for nutritional intervention. Further accumulation of evidence is necessary to conclusively establish the role of nutritional interventions in patients with malnutrition to improve postoperative complications and long-term outcomes.

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.

Impact of malnutrition as defined by the GLIM criteria on treatment outcomes in patients with cancer: A systematic review and meta-analysis

BACKGROUND & AIMS

Malnutrition has been reported to lead to poor postoperative outcomes. The Global Leadership Initiative on Malnutrition (GLIM) criteria were published in 2019 as a global consensus on the criteria for diagnosing malnutrition. However, the relationship between GLIM-defined malnutrition and treatment outcomes in patients with cancer has not been fully investigated. Therefore, this study aimed to clarify the impact of GLIM-defined malnutrition on the treatment outcomes of patients with cancer.

METHODS

We searched MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE, the World Health Organization International Clinical Trials Platform Search Portal, and ClinicalTrials.gov and identified observational studies published from inception to January 17, 2022. We conducted a systematic review and random-effects meta-analysis studies that included patients with cancer aged >18 years who received any kind of treatment and whose nutritional status was assessed using GLIM criteria. We independently assessed the risk of bias and quality of evidence using Quality In Prognosis Studies and Grading of Recommendations, Assessment, Development, and Evaluation approach. The primary outcomes were overall survival (OS) and postoperative complications. Hazard ratios and 95% confidence intervals (CIs) for OS and relative risk ratios and 95% CIs for postoperative complications were pooled. The protocol was published by PROSPERO (CRD42022304004).

RESULTS

Of 67 studies after screening, ten studies (n = 11,700) reported the impact of GLIM-defined malnutrition on postoperative outcomes. Compared with no malnutrition, GLIM-defined malnutrition may worsen OS (hazard ratio, 1.56; 95% CI, 1.38-1.75; I² = 37%) and increase postoperative complications (relative risk ratio, 1.82; 95% CI, 1.28-2.60; I² = 87%). The risk of bias in each study was either moderate or high. The certainty of the evidence was low because of publication bias and a moderate or high risk of bias.

CONCLUSIONS

GLIM-defined malnutrition may worsen OS and increase the risk of postoperative complications in patients with cancer undergoing treatment. Further studies are needed to confirm these findings and mitigate this risk.

GLIM-defined malnutrition and overall survival in cancer patients: A meta-analysis

BACKGROUND

Malnutrition defined by the Global Leadership Initiative on Malnutrition (GLIM) has been associated with cancer mortality, but the effect is limited and inconsistent. We performed this meta-analysis aiming to assess this relationship in patients with cancer.

METHODS

We systematically searched Embase, PubMed, Web of Science, Cochrane, CINAHL, CNKI, Wanfang, and VIP databases from January 1, 2019, to July 1, 2022. Studies evaluating the prognostic effect of GLIM-defined malnutrition on cancer survival were included. A fixed-effect model was fitted to estimate the combined hazard ratio (HR) with a 95% CI. Heterogeneity of studies was analyzed using the I² statistic. Quality assessment were performed using the Newcastle-Ottawa Scale (NOS) and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool.

RESULTS

The search strategy identified 4378 articles in all databases combined. Nine studies (8829 patients) meeting the inclusion criteria were included for quantitative analysis. Meta-analysis revealed significant associations between GLIM-defined pooled malnutrition (HR = 1.75; 95% CI, 1.43-2.15), moderate malnutrition (HR = 1.44; 95% CI, 1.29-1.62), and severe malnutrition (HR = 1.79; 95% CI, 1.58-2.02) with all-cause mortality. Sensitivity analysis supported the robustness of these associations. The between-study heterogeneity was low (all I²  < 50%), and study quality assessed with NOS was high (all scores > 6). The evidence quality according to the GRADE tool was very low.

CONCLUSIONS

Our meta-analysis suggests a significant negative association of malnutrition, as defined by the GLIM, with overall survival in patients with cancer. However, definitive conclusions cannot be made, owing to the low quality of the source data.

A scoping review on the GLIM criteria for malnutrition diagnosis: Understanding how and for which purpose it has been applied in studies on hospital settings

AIMS

This scoping review aimed to identify and map the literature on malnutrition diagnosis made using the GLIM criteria in hospitalized patients.

METHODS

The scoping review was conducted using the Joanna Briggs Institute's methodology. We searched PubMed, Embase, Scopus, and Web of Science (until 16 April 2022) to identify studies based on the 'population' (adults or elderly patients), 'concept' (malnutrition diagnosis by the GLIM criteria), and 'context' (hospital settings) framework. Titles/abstracts were screened, and two independent reviewers extracted data from eligible studies.

RESULTS

Ninety-six studies were eligible (35.4% from China, 30.2% involving oncological patients, and 30.5% with prospective data collection), 32 followed the two-step GLIM approach, and 50 applied all the criteria. All the studies evaluated body mass index (BMI), while 92.7% evaluated weight loss; 77.1%, muscle mass; 93.8%, inflammation; and 70.8%, energy intake. A lack of details on the methods adopted for criterion evaluation was observed in five (muscle mass evaluation) to 40 studies (energy intake evaluation). The frequency of the use of the GLIM criteria ranged from 22.2% (frequency of low BMI) to 84.7% (frequency of inflammation), and the malnutrition prevalence ranged from 0.96% to 87.9%. Less than 30% of studies aimed to assess the GLIM criterion validity, eight studies cited the guidance on validation of the GLIM criteria, and a minority implemented it.

CONCLUSIONS

This map of studies on the GLIM criteria in hospital settings demonstrated that they are applied in a heterogeneous manner, with a wide range of malnutrition prevalence. Almost 50% of the studies applied all the criteria, while one-third followed the straightforward two-step approach. The recommendations of the guidance on validation of the criteria were scarcely adhered to. The gaps that need to be explored in future studies have been highlighted.

Malnutrition diagnosed by the Global Leadership Initiative on Malnutrition criteria predicting survival and clinical outcomes of patients with cancer: A systematic review and meta-analysis

Objectives

Recently, some cohorts have looked into the use of Global Leadership Initiative on Malnutrition (GLIM) criteria in cancer patients. The objective of the current meta-analysis was to determine its utility in predicting clinical and survival outcomes for cancer patients.

Method

Searching and screening literature from PubMed, Web of Science and Embase until September 13, 2022 was performed by two researchers independently. According to the exclusion and inclusion criteria, articles reporting the impact of malnutrition diagnosed by GLIM on long-term survival and clinical outcomes were included. Data of interest were also extracted from the included papers. The stability of the pooled results was evaluated using sensitivity analysis. With the aid of subgroup analysis, heterogeneity was revealed. To assess publication bias, Egger's and Begg's tests were conducted. The influence of publication bias on the pooling risk estimate was examined using a trim-and-fill analysis.

Results

15 studies that qualified for our study were identified. Pooled hazard ratio (HR) from both multivariate and univariate regression analysis showed a worse overall survival in GLIM-defined malnourished cancer patients than those in well-nourished status. Meanwhile, disease-free survival was also poorer in malnourished patients. Moreover, pooled odds ratio (OR) demonstrated that malnourished cancer patients were more likely to develop overall postoperative complications, complications ≥ Clavien-Dindo grade IIa and complications ≥ Clavien-Dindo grade IIIa. Two articles reported negative relation between GLIM-defined malnutrition and 30-day readmission/mortality.

Conclusion

GLIM-defined malnutrition possesses value in predicting poorer survival and clinical outcomes for cancer patients.

Systematic review registration

[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=321094], identifier [CRD42022321094].

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

BACKGROUND & AIMS

In 2018, the Global Leadership Initiative on Malnutrition (GLIM) released a global standard for evaluating malnutrition. The etiologies of malnutrition in the GLIM criteria includes disease burden/inflammation, but how this view affects nutritional assessment remains unclear. This study aimed to investigate the impact of disease burden/inflammation on the proportion of malnourished patients defined by GLIM criteria, and how differences in methods for determining disease burden/inflammation in GLIM criteria affect existing nutritional indices among patients with rheumatoid arthritis (RA). We also investigated factors associated with malnutrition in RA patients.

METHODS

Data from 135 female RA patients (66.8 ± 12.6 years) were cross-sectionally analyzed. Among the etiologies of malnutrition, disease burden/inflammation was defined as: (1) moderate or higher disease activity score (disease activity score composite of the 28-joint score and erythrocyte sedimentation rate [DAS28-ESR] ≥ 3.2) [DAS-malnutrition (MN)]; (2) elevated C-reactive protein (CRP) ≥0.5 mg/dL (CRP-MN); and (3) presence of RA (RA-MN). In each of the three conditions, nutritional indicators between well-nourished and malnourished groups were compared by analysis of covariance. Factors associated with malnutrition were analyzed with logistic regression analysis.

RESULTS

The frequencies of malnutrition as defined by DAS-MN, CRP-MN, and RA-MN were 39%, 30%, and 71%, respectively. When malnutrition was defined by the DAS-MN and/or the CRP-MN, grip strength and serum ceruloplasmin, iron, and zinc levels showed significant differences between the well-nourished and malnourished groups (p < 0.05). The use of targeted synthetic or biological disease-modifying antirheumatic drugs (ts-/b-DMARD) (OR = 0.29; 95% CI 0.11-0.82), grip strength (OR = 0.83; 95% CI 0.75-0.91), subjective reduction in walking speed (OR = 5.24; 1.85-14.86) were significantly associated with malnutrition as determined by DAS-MN.

CONCLUSION

Differences in disease burden/inflammation affect nutritional assessments. The number of malnourished patients with RA was negatively associated with the use of ts-/b-DMARDs and high physical function in women.

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

AIM

This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient-Generated Subjective Global Assessment (PG-SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods.

METHODS

The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan-Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS).

RESULTS

GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07-4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99-4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14-5.47, p = 0.023) for OS and 2.10 (95% CI 0.98-4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition.

CONCLUSION

A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG-SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.

Malnutrition diagnosed by the Global Leadership Initiative on Malnutrition criteria as a predictor of gait ability in patients with hip fracture

AIM

Malnutrition is common in patients with hip fractures and is associated with poor clinical outcomes. The Global Leadership Initiative on Malnutrition (GLIM) and the European Society for Clinical Nutrition and Metabolism (ESPEN) criteria are widely used to diagnose malnutrition. However, the criteria regarding the prediction of gait ability in patients with hip fractures during the acute phase remain unclear. We aimed to determine whether GLIM or ESPEN criteria were more appropriate for predicting gait ability at discharge from an acute hospital.

METHODS

This retrospective observational study included hip fracture patients aged ≥ 65 years. Patients were classified as malnourished or non-malnourished according to the GLIM and ESPEN criteria at admission. The primary outcome was gait ability, which was evaluated using functional ambulation categories (FAC) at discharge. We categorized into those with (FAC score ≥ 3 points) and without (< 3 points) improved gait ability. Logistic regression analysis for FAC was performed to determine whether GLIM or ESPEN was predictive of gait ability at discharge.

RESULTS

Overall 157 patients were included; the median age was 84 years, and 75.3% were female. The prevalence of malnutrition was 73.9% and 25.5% according to the GLIM and ESPEN criteria, respectively. Logistic regression analysis showed that malnutrition evaluated using the GLIM criteria were predictive of lower FAC at discharge (odds ratio, 0.394; 95% CI, 0.164-0.946), while ESPEN criteria did not show statistically significant differences (odds ratio, 0.625; 95% CI, 0.292-1.335).

CONCLUSION

GLIM criteria are useful for predicting gait ability at discharge during acute hospitalization in patients with hip fractures.

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor

Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients. Method: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014. Malnutrition was then retrospectively diagnosed using the GLIM and ESPEN 2015 criteria, respectively, for comparison with the results of the SGA scale. The risk factors for malnutrition were analyzed using logistic regression, and the value of the three diagnostic criteria in predicting the in-hospital complications was subsequently explored using multivariate regression and the random forest machine learning algorithm. Results: A total of 2526 subjects who met the inclusion and exclusion criteria of the study were selected from the 7122 patients in the dataset, with an average age of 74.63 ± 7.12 years, 59.2% male, and 94.2% married. According to the GLIM, SGA, and ESPEN 2015 criteria, the detection rates of malnutrition were 37.8% (956 subjects), 32.8% (829 subjects), and 17.0% (429 subjects), respectively. The diagnostic consistency between the GLIM and the SGA criteria is better than that between the ESPEN 2015 and the SGA criteria (Kappa statistics, 0.890 vs. 0.590). Logistic regression showed that the risk of developing complications in the GLIM-defined malnutrition patients is 2.414 times higher than that of normal patients, higher than those of the ESPEN 2015 and SGA criteria (1.786 and 1.745 times, respectively). The random forest classifications show that the GLIM criteria have a higher ability to predict complications in these elderly patients than the SGA and ESPEN 2015 criteria with a mean decrease in accuracy of 12.929, 10.251, and 5.819, respectively, and a mean decrease in Gini of 2.055, 1.817, and 1.614, respectively. Conclusion: The prevalence of malnutrition diagnosed with the GLIM criteria is higher than that of the SGA and the ESPEN 2015 criteria. The GLIM criteria are better than the SGA and the ESPEN 2015 criteria for predicting in-hospital complications in elderly patients.

De novo Creation and Assessment of a Prognostic Fat-Age-Inflammation Index “FAIN” in Patients With Cancer: A Multicenter Cohort Study

Background and Aims

Malnutrition is highly prevalent and is related to multiple impaired clinical outcomes in cancer patients. This study aimed to de novo create an objective, nutrition-related index specially for prognostic purposes in oncology populations.

Methods

We performed a multicenter cohort study including 14,134 cancer patients. The prognostic impact for each baseline characteristic was estimated by calculating Harrell's C-index. The optimal parameters reflecting the nutritional and inflammatory impact on patients' overall survival were selected to develop the fat-age-inflammation (FAIN) index. The associations of the FAIN with the nutritional status, physical performance, quality of life, short-term outcomes and mortality of patients were comprehensively evaluated. Independent external validation was performed to further assess the prognostic value of the FAIN.

Results

The study enrolled 7,468 men and 6,666 women with a median age of 57 years and a median follow-up of 42 months. The FAIN index was defined as: (triceps skinfold thickness + albumin) / [age + 5 × (neutrophil count/lymphocyte count)]. There were significant associations of the FAIN with the nutritional status, physical performance, quality of life and short-term outcomes. The FAIN also showed better discrimination performance than the Nutritional Risk Index, the Prognostic Nutritional Index and the Controlling Nutritional Status index (all P < 0.05). In multivariable-adjusted models, the FAIN was independently associated with a reduced death hazard both as a continuous variable (HR = 0.57, 95%CI = 0.47–0.68) and per one standard deviation (HR = 0.83, 95%CI = 0.78–0.88). External validation in a multicenter lung cancer cohort (n = 227) further confirmed the prognostic value of the FAIN.

Conclusions

This study created and assessed the prognostic FAIN index, which might act as a feasible option to monitor the nutritional status and help develop intervention strategies to optimize the survival outcomes of cancer patients.

The association between pre-operative malnutrition and post-amputation clinical outcomes: A systematic review

Background:

In patients who underwent lower limb amputation (LLA), the prevalence of malnutrition and its association with clinical outcomes are unclear.

Objectives:

This systematic review aims to identify literature and summarise existing information on (1) the prevalence of malnutrition in the patients with LLA and (2) the association between pre-operative nutritional status and post-surgery clinical outcomes in patients who require amputation.

Methods:

A search was conducted in four electronic databases (Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, CINAHL and Scopus) to identify eligible studies. The search strategy was based on keywords – amputation, malnutrition and undernutrition. Article were included regardless of the study design; and if they were written in English; included adult patients with lower limb or foot amputation; and performed pre-amputation nutrition assessments.

Results:

Seven articles met the eligibility criteria. Malnutrition was assessed by biochemistry and/or anthropometry – none of which are validated nutrition assessment tools. Nevertheless, abnormal biochemistry and/or anthropometry results were associated with delayed wound healing, complications and failed amputation compared to normal ranges. The association between abnormal biochemistry and/or anthropometry parameters and mortality was less consistent. Only one study used a validated nutrition screen tool and found half of the population with LLA were at risk of malnutrition, but no association was reported.

Conclusions:

The association between malnutrition and clinical outcomes in patients who underwent LLA remains unclear as all the eligible studies that investigated association used unvalidated nutrition assessment tools. There is an urgent need to address this knowledge gap in future research.

Influence of Preoperative Nutritional Status on Patients Who Undergo Upfront Surgery for Esophageal Squamous Cell Carcinoma

Few studies have focused on preoperative nutritional status of esophageal cancer patients eligible for upfront surgery. We aimed to investigate the association of preoperative nutritional status with prognosis of patients who undergo upfront surgery for esophageal cancer. A total of 274 patients who underwent upfront surgery for esophageal squamous cell carcinoma between January 2012 and December 2016 were eligible. Preoperative nutritional status was evaluated using prognostic nutritional index (PNI) scoring system, nutritional risk screening 2002 (NRS 2002), and controlling nutritional status. The median age was 63 years (interquartile range, 58-70) and 94.7% of patients were male. The pathological stages were Stage I-74.5% (204/274), Stage II-20.4% (56/274), and Stage III-5.1% (14/274). Multivariate analysis revealed that advanced stage, a low PNI, and a high NRS 2002 were independent predictors of overall survival. During median follow-up period of 55 mo, overall survival rates were lower in the high NRS 2002 group (P < 0.001). A high NRS 2002 score was associated with frequent postoperative complications, especially pneumonia and anastomosis site leakage (P = 0.003). The poor preoperative nutritional status with a high NRS 2002 is associated with postoperative complications as well as poor overall survival in patients with upfront surgery for esophageal cancer.Supplemental data for this article is available online at https://doi.org/10.1080/01635581.2022.2042573.

Influence of Malnutrition According to the GLIM Criteria on the Clinical Outcomes of Hospitalized Patients With Cancer

Background: Malnutrition is prevalent among patients with cancer. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing malnutrition in 2019. The objectives of this study were to assess the prevalence of malnutrition in patients with cancer using the GLIM criteria, explore the correlation between the GLIM criteria, and clinical outcomes, and compare the GLIM criteria with subjective global assessment (SGA).

Methods: This retrospective analysis was conducted on 2,388 patients with cancer enrolled in a multicenter study. Nutritional risk was screened using the Nutritional Risk Screening-2002, and the nutritional status was assessed using SGA and GLIM criteria. Chi-square analysis and Wilcoxon rank sum test, stratified by age 65 years, were used to evaluate the effect of GLIM-defined malnutrition on clinical outcomes. Logistic regression analysis was used to analyze the nutritional status and complications, and the interrater reliability was measured using a kappa test.

Results: The prevalence of malnutrition defined by the GLIM criteria was 38.9% (929/2,388). GLIM-defined malnutrition was significantly associated with in-hospital mortality (P = 0.001) and length of hospital stays (P = 0.001). Multivariate logistic regression analysis showed GLIM-defined malnutrition significantly increased complications (odds ratio [OR] 1.716, 95% CI 1.227–2.400, P = 0.002). The GLIM criteria had a “moderate agreement” (kappa = 0.426) compared with the SGA.

Conclusions: The prevalence of malnutrition in hospitalized patients with cancer is high, and malnourishment in patients with cancer is associated with poorer clinical outcomes. The use of the GLIM criteria in assessing the nutritional status of inpatients with cancer is recommended and can be used as the basis for nutritional interventions.

Low fat mass index outperforms handgrip weakness and GLIM-defined malnutrition in predicting cancer survival: Derivation of cutoff values and joint analysis in an observational cohort

BACKGROUND & AIMS

The optimal thresholds to define a survival-related low fat mass index (FMI) in Asian oncology populations remains largely unknown. This study sought to derive the sex-specific FMI cutoffs and analyze the independent and joint associations of a low FMI, handgrip weakness, and the Global Leadership Initiative on Malnutrition (GLIM)-defined malnutrition with cancer survival.

METHODS

We performed a multicenter cohort study including 2376 patients with cancer. The FMI was measured by bioelectrical impedance analysis and the best thresholds were determined using an optimal stratification (OS) method. Low handgrip strength (HGS) and malnutrition were defined based on the Asian Working Group for Sarcopenia 2019 framework and the GLIM, respectively. The associations of a low FMI, handgrip weakness and malnutrition with survival were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs).

RESULTS

The study enrolled 1303 women and 1073 men with a mean age of 57.7 years and a median follow-up of 1267 days. The OS-defined FMI cutoffs were <5 kg/m² in women and <7.7 kg/m² in men. A low FMI, low HGS and malnutrition were identified in 1188 (50%), 1106 (46.5%) and 910 (38.3%) patients, respectively. A low FMI was adversely associated with the nutritional status, physical performance, quality of life and hospitalization costs. A low FMI (HR = 1.50, 95%CI = 1.16 to 1.92) and malnutrition (HR = 1.31, 95%CI = 1.08 to 1.59) were independently associated with mortality. Overall, the FMI plus GLIM-defined malnutrition showed the maximal joint prognostic impact, and patients with a combined low FMI and malnutrition had the worst survival (HR = 1.93, 95%CI = 1.48 to 2.52).

CONCLUSIONS

Low FMI-indicated fat depletion outperforms and strengthens the prognostic value of handgrip weakness and GLIM-defined malnutrition for cancer survival. These findings indicate the importance of including fat mass assessment during routine cancer care to help guide strategies to optimize survival outcomes.

A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data

BACKGROUND AND AIMS

Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This study established a machine learning (ML)-based, individualized decision system to identify and grade malnutrition using large-scale data from cancer patients.

METHODS

This was an observational, nationwide, multicenter cohort study that included 14134 cancer patients from five institutions in four different geographic regions of China. Multi-stage K-means clustering was performed to isolate and grade malnutrition based on 17 core nutritional features. The effectiveness of the identified clusters for reflecting clinical characteristics, nutritional status and patient outcomes was comprehensively evaluated. The study population was randomly split for model derivation and validation. Multiple ML algorithms were developed, validated and compared to screen for optimal models to implement the cluster prediction.

RESULTS

A well-nourished cluster (n = 8193, 58.0%) and a malnourished cluster with three phenotype-specific severity levels (mild = 2195, 15.5%; moderate = 2491, 17.6%; severe = 1255, 8.9%) were identified. The clusters showed moderate agreement with the Patient-Generated Subjective Global Assessment and the Global Leadership Initiative on Malnutrition criteria. The severity of malnutrition was negatively associated with the nutritional status, physical status, quality of life, and short-term outcomes, and was monotonically correlated with reduced overall survival. A multinomial logistic regression was found to be the optimal ML algorithm, and models built based on this algorithm showed almost perfect performance to predict the clusters in the validation data.

CONCLUSIONS

This study developed a fusion decision system that can be used to facilitate the identification and severity grading of malnutrition in patients with cancer. Moreover, the study workflow is flexible, and might provide a generalizable solution for the artificial intelligence-based assessment of malnutrition in a wider variety of scenarios.