Is hand grip strength a necessary supportive index in the phenotypic criteria of the GLIM-based diagnosis of malnutrition in patients with cancer?

Diagnostic performance of GLIM and PG-SGA for malnutrition assessment in adult cancer patients: a systematic review and meta-analysis

OBJECTIVE

Consistency between malnutrition defined by Global Leadership Initiative on Malnutrition (GLIM) and Patient-Generated Subjective Global Assessment (PG-SGA) has not been thoroughly elucidated in patients with cancer. The study aimed to compare their consistency, and summarize the impact of malnutrition defined by GLIM on adverse outcomes.

METHOD

PubMed, Embase, Cochrane library and Web of Science databases were searched from inception to May 1, 2024. Initially, the amalgamated sensitivity, specificity and area under curve (AUC) with 95% confidence intervals (CIs) were calculated. Subsequently, hazard ratios (HR) or odd ratios (OR) and 95% CIs for overall survival (OS), all-cause mortality, postoperative complications, disease-free survival (DFS) and recurrence-free survival (RFS) were pooled.

RESULT

Fifty-six studies (55,767 participants) were included. Compared with PG-SGA criteria, the overall sensitivity, specificity and area under curve (AUC) for GLIM was 0.71 (95% CI: 0.63-0.78), 0.80 (95% CI: 0.65-0.90) and 0.79 (95% CI: 0.75-0.83). Subgroup analysis revealed that the diagnostic value in Asian or among patients aged under 60 years were higher than non-Asian or those aged over 60 years. Moreover, GLIM-defined malnutrition was significantly associated with overall survival (OS) [hazard ratios (HR) = 1.57, 95% CI: 1.46-1.67], all-cause mortality (HR = 1.43, 95% CI: 1.29-1.57), postoperative complications [odd ratios (OR) = 1.57, 95% CI: 1.40-1.73], disease-free survival (DFS) (OR = 1.52, 95% CI: 1.36-1.68) and recurrence-free survival (RFS) (OR = 1.41, 95% CI: 1.10-1.72).

CONCLUSION

GLIM criteria exhibit moderate diagnostic accuracy for identifying malnutrition among patients with cancer, when compared to the PG-SGA. This accuracy is pronounced in the Asian and patients under the age of 60. Furthermore, GLIM-defined malnutrition was significantly associated with OS, DFS, RFS, all-cause mortality and postoperative complication risks in patients with cancer.

Association of combined left and right handgrip strength with new-onset chronic kidney disease in middle-aged and older adults: a nationwide multicenter cohort study

BACKGROUND

The role of multi-site muscle strength in the incidence of chronic kidney disease (CKD) remains largely unknown. This study aims to investigate the association of combined left and right handgrip strength (CHS) with new-onset CKD in middle-aged and older adults.

METHODS

This observational multicenter study included 4618 community-dwelling adults without CKD at baseline in 2011. CHS (kg) was assessed at baseline and participants were followed in 2013, 2015, and 2018 to track CKD incidents. Sex-specific thresholds for low CHS were determined using receiver operating characteristic (ROC) analysis. Restricted cubic spline analysis, survival analysis and multivariable-adjusted Cox regression models were used to analyze the association between CHS and new-onset CKD.

RESULTS

The study included 2526 women and 2092 men (median age = 58.87 years). During the seven-year follow-up, 503 (10.89%) new CKD cases occurred. CHS was associated with new-onset CKD in both men (P = 0.021) and women (P = 0.009) in a linear-like manner (both P nonlinearity > 0.05). The optimal thresholds for CHS to predict CKD incidents were 96.15 kg for men and 57.90 kg for women. Kaplan-Meier curves demonstrated that prolonged CHS were positively associated with new-onset CKD in both men (P < 0.001) and women (P = 0.001). Low CHS, defined using the optimal thresholds, was independently associated with an increased risk of CKD (HR = 1.824, 95% CI = 1.379 to 2.413). This relationship was strengthened in participants with a BMI classification of normal (HR = 2.878, 95% CI = 1.732 to 4.782, P interaction = 0.032) at baseline, as well as those without diabetes (HR = 2.048, 95% CI = 1.514 to 2.771, P interaction = 0.019).

CONCLUSIONS

This study demonstrated a longitudinal association between CHS and new-onset CKD in middle-aged and older Chinese adults. These findings highlight the potential of early-life multi-site muscle strength interventions for the prevention of CKD.

Grip-Strength-Lean-Mass Index (GSLMI) as a valuable tool for sarcopenia diagnosis and survival prognosis in cancer patients: a nationwide multicenter cohort study

OBJECTIVES

To identify whether the Grip-Strength-Lean-Mass Index (GSLMI) can precisely diagnose sarcopenia and predict prognosis for cancer patients in clinical settings.

DESIGN

A nationwide multicenter cohort study.

SETTING AND PARTICIPANTS

8,831 inpatients aged 18 years and older, histologically diagnosed with cancer and receiving anti-cancer therapy.

MEASUREMENTS

The GSLMI is the ratio of hand grip strength (HGS) divided by lean mass (LM), calculated by the formula: GSLMI = HGS (kg) / LM (kg). Kaplan-Meier curves and Cox models were used to estimate the association between the GSLMI and survival.

RESULTS

A total of 3,071 (48.40%) male and 3,274 (51.60%) female patients were enrolled in the study. The prevalence of GLIS-defined sarcopenia was 2,646 (41.70%). The optimal sex-specific thresholds with the best diagnostic performance to identify a low GSLMI were determined to be <0.61 for males and <0.47 for females based on the ROC curves. According to Kaplan-Meier curves, patients with a high GSLMI exhibited better overall survival than those with a low GSLMI (HR = 0.664, 95%CI = 0.604-0.729, log-rank P < 0.001). Multivariable survival analysis revealed that the GSLMI showed an independent association with a lower hazard of death as a continuous variable (HR = 0.70, 95% CI = 0.51-0.96).

CONCLUSIONS

The GSLMI may serve as a novel diagnostic tool for identifying sarcopenia and may have prognostic value for cancer patients. Using the GSLMI represents a feasible and promising option for better managing the health of patients with cancer.

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.

Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs

BACKGROUND

Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs.

METHODS

A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality.

RESULTS

The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5).

CONCLUSION

Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.

Evaluation of different screening tools as the first step of the GLIM framework: A cross-sectional study of Chinese cancer patients in an outpatient setting

BACKGROUND

Ambulatory cancer patients are at high risk of malnutrition. Multiple nutrition screening and assessment tools are used in the outpatient setting. This study aimed to evaluate the efficacy of different nutrition screening tools as the first step of the Global Leadership Initiative on Malnutrition (GLIM) framework in Chinese ambulatory cancer patients.

METHODS

A cross-sectional study was conducted in a tertiary hospital in China. Malnutrition diagnoses made by the GLIM framework using Malnutrition Screening Tool, Malnutrition Universal Screening Tool, Nutritional Risk Screening 2002, or short-form of Patient-Gernerated Subjective Global Assessment (PG-SGA) as the first step were compared with PG-SGA separately.

RESULTS

Of the 562 included patients, 31.0% were diagnosed with malnutrition (PG-SGA: B + C), and 12.6% were diagnosed with severe malnutrition (PG-SGA: C). As the screening tool in the first step of the GLIM framework, the short form of PG-SGA (PG-SGA SF) with a cutoff value of ≥2 performed best in diagnosing malnutrition, with good sensitivity (SE) (80.5% [73.6-85.9]) and specificity (SP) (98.4% [96.5-99.4]) and substantial accordance (κ = 0.826), whereas PG-SGA SF with a cutoff value of ≥4 performed best in diagnosing severe malnutrition, with fair SE (62.0% [49.6-73.0]), good SP (96.7% [94.6-98.1]) and moderate accordance (κ = 0.629).

CONCLUSION

Using PG-SGA as the standard, the GLIM framework using PG-SGA SF as the screening tool has good accordance with the PG-SGA regardless of severity grading. PG-SGA SF can be used as a valid screening tool in the GLIM framework.

Association of the rs3917647 polymorphism of the SELP gene with malnutrition in gastric cancer

BACKGROUND

Malnutrition and cachexia are common syndromes in patients with gastric cancer (GC) and are associated with poor quality of life and poor disease prognosis. However, there is still a lack of molecular factors that can predict malnutrition or cachexia in cancer. Studies have shown that among the potential contributors to the development of cancer cachexia, the level of the inflammatory response to P-selectin is regulated by single nucleotide polymorphisms (SNPs) located in the promoter region of the SELP gene. The aim of this study was to evaluate the association between the single nucleotide polymorphism (SNP)-2028 A/G of the SELP gene and malnutrition in patients receiving chemotherapy for gastric cancer (GC).

METHODS

The study group consisted of 220 GC patients treated with chemotherapy at Jinhua Municipal Central Hospital. DNA was extracted from peripheral leukocytes of whole blood samples using an animal DNA extraction kit. DNA was amplified using a 1.1 × T3 Super PCR mix, and loci corresponding to the peaks were genotyped using SNP1 software.

RESULTS

Patients carrying the A allele had a reduced risk of developing malnutrition compared to patients with the GG genotype (P < 0.001; OR = 3.411; 95% CI = 1.785-6.516). In addition, multivariate analysis indicated that the AA genotype significantly (more than 16-fold) reduced the risk of developing malnutrition (P < 0.001; OR = 0.062; 95% CI = 0.015-0.255).

CONCLUSION

SELP -2028A/G SNP may be a useful marker for assessing the risk of malnutrition in GC patients.

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.

Grip strength is an important predictor for nutritional risk and early postoperative ambulation in gastrointestinal tumors undergoing laparoscopic surgery: a prospective multicenter clinical study

BACKGROUND

Using grip strength as a predictor of nutritional risk and early ambulation for gastrointestinal tumor surgery and determining its critical value have not been reported. This study was designed to explore the influencing factors of early postoperative ambulation ability for patients with gastrointestinal tumors who underwent laparoscopic surgery.

METHODS

Four-hundred twenty-seven patients with gastrointestinal tumors who underwent laparoscopic surgery at three tertiary A hospitals in Beijing were prospectively enrolled. Subsequently, logistic regression analysis was conducted to determine the independent predictors of early postoperative ambulation. Logistic regression analyses for the different gender were also performed. In addition, the effectiveness of preoperative grip strength measurement in nutritional risk assessment was analyzed by using nutritional risk score 2002 (NRS 2002) as a control.

RESULTS

The included cases were comprised of 283 male and 144 female patients, with an age of 59.35 ± 11.70 years. Gender, preoperative grip strength, operative time, and number of indwelling tubes were independent predictors of early postoperative ambulation. In the male group, lower preoperative grip strength and more indwelling tubes were independent risk factors for early postoperative ambulation. In the female group, lower preoperative grip strength and extended operating time were independent risk factors. Moreover, preoperative grip strength (male < 32 kg, female < 21 kg) can be used as a risk predictor for both preoperative nutritional risk and early postoperative ambulation.

CONCLUSIONS

As a simple and objective measure of muscle strength, grip strength measurement is expected to be an effective predictor for both early postoperative ambulation ability and nutritional status of patients.

TNF-α-1031T/C gene polymorphism as a predictor of malnutrition in patients with gastric cancer

Introduction

Malnutrition is a complex clinical syndrome, the exact mechanism of which is yet not fully understood. Studies have found that malnutrition is associated with anorexia and inadequate intake, tumor depletion, leptin, tumor-induced metabolic abnormalities in the body, and catabolic factors produced by the tumor in the circulation and cytokines produced by the host immune system. Among these, single nucleotide polymorphisms (SNPs) are present in the gene encoding the pro-inflammatory cytokine TNF-α.

Aim

The objective of this study was to investigate TNF-α -1,031 T/C gene polymorphism as an unfavorable predictor of malnutrition in patients with gastric cancer.

Methods

The study group consisted of 220 gastric cancer patients treated at Affiliated Jinhua Hospital, Zhejiang University School of Medicine. Malnutrition was mainly assessed by the Global Consensus on Malnutrition Diagnostic Criteria (GLIM). DNA was extracted from peripheral leukocytes of whole blood samples using an animal DNA extraction kit. DNA was amplified using a 1.1× T3 Super PCR mixture and genotyped using SNP1 software.

Results

There are three major genetic polymorphisms in TNF-α. Among the 220 patients with gastric cancer, there were 7 patients with the CC genotype, 61 with the CT genotype and 152 with the TT genotype. Compared to patients with the TT genotype, patients with the C allele had an approximately 2.5-fold higher risk of developing malnutrition (p = 0.003; OR = 0.406). On the basis of multivariate analysis, patients with the CC genotype had an approximately 20.1-fold higher risk of developing malnutrition (p = 0.013; OR = 20.114), while those with the CT genotype had an almost 3.7-fold higher risk of malnutrition (p = 0.002; OR = 3.218).

Conclusion

SNP (-1,031 T/C) of the TNF-α may be a useful marker in the assessment of the risk of nutritional deficiencies in gastric cancer patients. Patients with gastric cancer carrying the C allele should be supported by early nutritional intervention, but more research is still needed to explore confirmation.

Accuracy of the GLIM Criteria and SGA Compared to PG-SGA for the Diagnosis of Malnutrition and Its Impact on Prolonged Hospitalization: A Prospective Study in Patients with Cancer

BACKGROUND

Early assessment of malnutrition in cancer patients is essential. This study analyzed the accuracy of the Global Leadership Initiative on Malnutrition (GLIM) and the Subjective Global Assessment (SGA), in diagnosing malnutrition, considering the Patient Generated-SGA (PG-SGA) as a reference, and the impact of malnutrition on hospital days.

METHODS

We conducted a prospective cohort study in 183 patients with gastrointestinal, head and neck, and lung cancer. Malnutrition was assessed within 48 h, of hospital admission according to the SGA, PG-SGA, and GLIM. Accuracy tests and regression analysis were performed to assess the criterion validity of the GLIM and SGA for diagnosing malnutrition.

RESULTS

Malnutrition was diagnosed in 57.3% (SGA), 86.3% (PG-SGA), and 74.9% (GLIM) of the inpatients. The median of hospitalization was 6 (3-11) days, with 47% hospitalized > 6 day. The SGA presented the best accuracy (AUC = 0.832) than the GLIM (AUC = 0.632) compared to PG-SGA. Patients diagnosed with malnutrition by SGA, GLIM, and PG-SGA remained hospitalized for 2.13, 3.19, and 4.56 day more than well-nourished patients, respectively.

CONCLUSION

Compared to PG-SGA, the SGA presents good accuracy and adequate specificity (>80%). Malnutrition evaluated by SGA, PG-SGA, and GLIM was associated with more days of hospitalization.

Relationship between global leadership initiative on malnutrition (GLIM) defined malnutrition and survival, length of stay and post-operative complications in people with cancer: A systematic review

BACKGROUND & AIMS

The predictive validity of the GLIM criteria for survival, length of hospital stay (LOHS) and post-operative complications among people with cancer have not been systematically reviewed. This systematic review aims to determine whether GLIM malnutrition is predictive of these outcomes, and whether the predictive validity is affected by how phenotypic and etiologic criteria are assessed.

METHODS

Cohort studies published after 2018 were systematically reviewed according to PRISMA guidelines from Embase, Medline Complete and CINAHL Complete. Risk of bias and methodologic quality were assessed using the Journal of the Academy of Nutrition and Dietetics' Quality Criteria Checklist tool for Primary research.

RESULTS

In total, 21 studies were included, including 28,726 participants. All studies investigated survival, where 18 reported GLIM malnutrition is associated with decreased survival. LOHS was investigated in six studies, with all finding an association between GLIM malnutrition and longer LOHS. Post-operative complications were assessed in seven studies, of which five reported GLIM malnutrition was predictive of increased post-operative complications. Methods to assess the GLIM phenotypic and etiologic criteria varied, with consistent predictive ability for survival regardless of method of assessing reduced muscle mass. However, predictive ability was more variable across different measures of inflammation and reduced intake.

CONCLUSION

GLIM malnutrition was consistently predictive of worse clinical outcomes. Different measures of reduced muscle mass did not affect the predictive ability of GLIM for survival. However, variation in assessment of the etiologic criteria resulted in varying predictive ability of the GLIM diagnosis for survival.

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.

The clinical application value of phase angle of six parts in nutritional evaluation of tumor patients

OBJECTIVES

The purpose of this study was to explore the clinical application value of phase angle (PA) of six parts in the nutritional evaluation and construct a prediction model for diagnosing malnutrition of tumor patients.

METHODS

A total of 1129 patients with malignant tumors were analyzed retrospectively. The age, sex, tumor location and body mass index (BMI) of the patients were collected, and PA of six parts was measured. The Patient Subjective Global Assessment (PG-SGA) was used to evaluate the nutritional status of each patient.

RESULTS

According to the PG-SGA, 66.5% (n = 750) of the patients were evaluated as malnourished. Patients under the age of 65 had higher PA values. The PA value of men was higher than that of women (except PA-RL). In different disease groups, the PA-RA and PA-TR values were significantly different. In our study, PA value increases with BMI and decreases with PG-SGA (except PG-SGA 0-1 group). Multivariate regression analysis indicates that the age (HR = 1.051, 95% CI 1.037-1.066, P < 0.001), BMI (HR = 0.885, 95% CI 0.849-0.924, P < 0.001), and PA-WB (HR = 0.615, 95% CI 0.546-0.692, P < 0.001) were independent significant predictors associated with malnutrition. The AUC of the prediction model is 0.7631 (p < 0.001), indicating that the model including age, BMI, and PA-WB has certain diagnostic value for the diagnosis of malnutrition.

CONCLUSION

The PA-WB is an independent prognostic factor of malnutrition. The prediction model constructed by age, BMI, and PA-WB can be used as a useful tool for nutritional evaluation of tumor patients.

TRIAL REGISTRATION

Clinical Trial No.: ChiCTR2100047858.

A simple assessment model based on phase angle for malnutrition and prognosis in hospitalized cancer patients

BACKGROUND & AIMS

Malnutrition in cancer patients is a common but under-diagnosed condition that has negative effects on clinical outcomes. The development of an easy and reliable malnutrition assessment tool is thus critical for identification and nutritional support. We aimed to develop a phase angle (PA)-based prediction model of malnutrition and evaluate it in patient prognosis.

METHODS

A retrospective cohort of data consisting of demographic, clinical parameter and PA test from 702 adult hospitalized cancer patients between June 2020 to February 2021 was analysed. PAs for 6 body sites were measured by a body composition analyser. Patient-generated subjective global assessment (PG-SGA) scale was used as the diagnostic standard of nutritional status (PG-SGA ≥ 4 points defined as malnutrition). Decision tree, mean decrease accuracy of random forest, stepAIC strategy and test of generalized likelihood ratio were employed to select important variables and develop models for predicting PG-SGA binary classification (PG-SGA < 4 or ≥ 4 as a split). Survival curves were plotted by using the Kaplan-Meier method.

RESULTS

In all, 490 (69.8%) patients were malnourished according to their actual PG-SGA scores. Except for age, tumor type and body mass index (BMI), PA of the left arm was found to influence malnutrition classification and incorporated in the final predictive model. The model achieved good performance with an AUC of 0.813, 75.9% sensitivity and 73.3% specificity. The actual and predicted survival curves were almost overlapped.

CONCLUSION

This study provides a simple nutritional assessment tool which may be used to facilitate oncology physicians to identify cancer patients at nutritional risk and potentially implement nutritional support.

CLINICAL TRIAL NO

ChiCTR2100047858.

Fat mass assessment using the triceps skinfold thickness enhances the prognostic value of the Global Leadership Initiative on Malnutrition criteria in patients with lung cancer

The present study evaluated whether fat mass assessment using the triceps skinfold (TSF) thickness provides additional prognostic value to the Global Leadership Initiative on Malnutrition (GLIM) framework in patients with lung cancer (LC). We performed an observational cohort study including 2672 LC patients in China. Comprehensive demographic, disease and nutritional characteristics were collected. Malnutrition was retrospectively defined using the GLIM criteria, and optimal stratification was used to determine the best thresholds for the TSF. The associations of malnutrition and TSF categories with survival were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HR). Malnutrition was identified in 808 (30·2 %) patients, and the best TSF thresholds were 9·5 mm in men and 12 mm in women. Accordingly, 496 (18·6 %) patients were identified as having a low TSF. Patients with concurrent malnutrition and a low TSF had a 54 % (HR = 1·54, 95 % CI = 1·25, 1·88) greater death hazard compared with well-nourished individuals, which was also greater compared with malnourished patients with a normal TSF (HR = 1·23, 95 % CI = 1·06, 1·43) or malnourished patients without TSF assessment (HR = 1·31, 95 % CI = 1·14, 1·50). These associations were concentrated among those patients with adequate muscle mass (as indicated by the calf circumference). Additional fat mass assessment using the TSF enhances the prognostic value of the GLIM criteria. Using the population-derived thresholds for the TSF may provide significant prognostic value when used in combination with the GLIM criteria to guide strategies to optimise the long-term outcomes in patients with LC.

Several anthropometric measurements and cancer mortality: predictor screening, threshold determination, and joint analysis in a multicenter cohort of 12138 adults

BACKGROUND

Anthropometric measurements (AMs) are cost-effective surrogates for evaluating body size. This study aimed to identify the optimal prognostic AMs, their thresholds, and their joint associations with cancer mortality.

METHODS

We performed an observational cohort study including 12138 patients with cancer at five institutions in China. Information on demographics, disease, nutritional status, and AMs, including the body mass index, mid-arm muscle circumference, mid-arm circumference, handgrip strength, calf circumference (CC), and triceps-skinfold thickness (TSF), was collected and screened as mortality predictors. The optimal stratification was used to determine the thresholds to categorize those prognostic AMs, and their associations with mortality were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs).

RESULTS

The study included 5744 females and 6394 males with a mean age of 56.9 years. The CC and TSF were identified as better mortality predictors than other AMs. The optimal thresholds were women 30 cm and men 32.8 cm for the CC, and women 21.8 mm and men 13.6 mm for the TSF. Patients in the low CC or low TSF group had a 13% (HR = 1.13, 95% CI = 1.03-1.23) and 22% (HR = 1.22, 95% CI = 1.12-1.32) greater mortality risk compared with their normal CC/TSF counterparties, respectively. Concurrent low CC and low TSF showed potential joint effect on mortality risk (HR = 1.39, 95% CI = 1.25-1.55).

CONCLUSIONS

These findings support the importance of assessing the CC and TSF simultaneously in hospitalized cancer patients to guide interventions to optimize their long-term outcomes.

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.

Utilization and validation of the Global Leadership Initiative on Malnutrition (GLIM): A scoping review

BACKGROUND & AIMS

The diagnosis of malnutrition remains a significant challenge despite various published diagnostic criteria. In 2018, the Global Leadership Initiative on Malnutrition (GLIM) published a set of evidence-based criteria as a framework for malnutrition diagnosis in adults. A scoping review was conducted to understand how the GLIM criteria have been used in published literature and compare the reported validation methods to published validation guidance.

METHODS

Dialog and Dimensions databases were searched by publication date (January 1, 2019, through January 29, 2021). Data were extracted and mapped to the research objectives.

RESULTS

Seventy-nine studies were reviewed; 32% were in patients at least 65 years of age; 67% occurred in hospitals. The majority were cohort studies (61%). Fifty-seven percent employed all 5 GLIM criteria. Regarding phenotypic criteria, 92% used low BMI, and 45% applied anthropometry as a marker for muscle mass, of which 54% used calf circumference. Regarding etiologic criteria, 72% used reduced food intake/assimilation, and 85% applied inflammation/disease burden. Validation of GLIM criteria was described in 77% of publications.

CONCLUSIONS

The GLIM criteria have been studied extensively since their publication. Low BMI was the phenotypic criterion used most often, whereas both reduced food intake/assimilation and inflammation/disease burden were frequently employed as the etiologic criteria. However, how the criteria were combined and how validation was conducted were not clear in most studies. Adequately powered, methodologically sound validation studies using the complete GLIM criteria are needed in various patient populations and disease settings to assess validity for the diagnosis of malnutrition.

Calf Circumference and All-Cause Mortality: A Systematic Review and Meta-Analysis Based on Trend Estimation Approaches

OBJECTIVES

To perform a systematic review and meta-analysis and quantify the associations of total mortality with calf circumference (CC) in adults 18 years and older via combining various analyses based on empirical dichotomic CC, continuous CC, and dose-response CC.

METHODS

We conducted a systematic search of relevant studies in PubMed, EMBASE, Cochrane Library, and Web of Science published through April 12, 2022. This systematic review includes longitudinal observational studies reporting the relationships of total mortality with CC. We calculated the pooled relative risk (RR) and 95% confidence interval (CI) of total mortality with CC per 1 cm for each study and combined the values using standard meta-analysis approaches. Newcastle-Ottawa scale (NOS), Grading of Recommendations, Assessment, Development and Evaluations approach (GRADE), and the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN) were assessed for meta-analyses.

RESULTS

Our analysis included a total of 37 cohort studies involving 62,736 participants, across which moderate heterogeneity was observed (I2=75.7%, P<0.001), but no publication bias was found. Study quality scores ranged from 6 to 9 (mean 7.7), with only three studies awarded a score of 6 (fair quality). We observed an inverse trend between total death risk and CC per 1 cm increase (RR, 0.95, 95% CI, 0.94-0.96; P<0.001; GRADE quality=high). Only a very slight difference was found among residents of nursing homes (6.9% mortality risk reduction per one cm CC increase), community-dwellers (5.4%), and those living in hospitals (4.8%), respectively (P for meta-regression=0.617). Low credible subgroup difference was found based on the ICEMAN tool.

CONCLUSIONS

Calf circumference is a valid anthropometric measure for mortality risk prediction in a community, nursing home, or hospital.

Comparison of the AWGS and optimal stratification-defined handgrip strength thresholds for predicting survival in patients with lung cancer

OBJECTIVES

Handgrip strength (HGS) is related to cancer mortality. The aim of this study was to compare the performance of the Asian Working Group for Sarcopenia 2019 (AWGS)- and optimal stratification (OS)-defined HGS thresholds for predicting the survival of patients with lung cancer (LC).

METHODS

We performed an observational cohort study including 3230 patients with LC admitted to five institutions in China from November 2011 to January 2019. Comprehensive baseline and follow-up information was documented. Sex-specific thresholds for identifying patients with a low HGS were defined based on the AWGS (<28 kg in men and <18 kg in women) and the OS. The associations of a low HGS with survival were estimated by calculating multivariable-adjusted hazard ratios (HRs), and the relationships were flexibly modeled using restricted cubic splines.

RESULTS

The study included 1041 women and 2189 men with a mean age of 60 y and a median follow-up time of 761 d. The OS-calculated HGS thresholds were <31.2 kg in men and <22.4 kg in women. There were significant associations between a low HGS defined by the AWGS (n = 1392; 43.1%) or the OS (n = 2034; 63%) and various nutritional characteristics. An AWGS-defined low HGS was associated with prolonged hospitalization. The OS-defined low HGS group was associated with a 23% greater death hazard than the normal HGS group (HR, 1.23; 95% confidence interval, 1.08-1.40). An n-shaped non-linear association was observed between the HGS and survival in women (P = 0.003).

CONCLUSIONS

The OS-defined HGS thresholds show better performance than the AWGS for predicting the survival of patients with LC. Additionally, the HGS had n-shaped associations with the overall mortality among female patients with LC.

Body Composition Measurement Improved Performance of GLIM Criteria in Diagnosing Malnutrition Compared to PG-SGA in Ambulatory Cancer Patients: A Prospective Cross-Sectional Study

Background and aims: Muscle mass reduction (MMR) is one of the three etiologic criteria in the Global Leadership Initiative on Malnutrition (GLIM) framework. This study aimed to evaluate the value of MMR in GLIM criteria among ambulatory cancer patients. Methods: A single-center prospective cross-sectional study was conducted. All participants underwent calf circumference (CC) measurement and body composition measurement by bioelectrical impedance analysis (BIA). MMR was identified by CC, fat-free mass index (FFMI), appendicular skeletal muscle index (ASMI), or combinations of the above three indicators. Patients-generated Subjective Global Assessment (PG-SGA) was used as the comparator. Results: A total of 562 cancer patients receiving intravenous treatment were evaluated. Of the participants, 62.8% (355/562) were male. The median age of the patients was 59.0 years (range, 21–82 y). The median BMI was 22.8 kg/m² (range, 14.6–34.5 kg/m²). A total of 41.8% of patients were evaluated as malnutrition (PG-SGA ≥ 4), and 11.9% were diagnosed with severe malnutrition (PG-SGA ≥ 9). For the GLIM criteria, the prevalence of malnutrition was 26.9%, and severe malnutrition was 12.3%. For all criteria combinations of GLIM together versus PG-SGA, sensitivity was 60.4% (53.8–66.7), specificity was 97.9% (95.4–99.1), while the accordance between GLIM and PG-SGA was moderate (κ = 0.614). The performance of the GLIM worsened when MMR was excluded (κ = 0.515), with reduced sensitivity (50.2% (43.7–56.8)) and the same specificity (97.9% (95.4–99.1)). Including FFMI and ASMI by BIA can further improve the performance of GLIM than using CC alone (κ = 0.614 vs. κ = 0.565). Conclusions: It is important to include MMR in the GLIM framework. Using body composition measurement further improves the performance of the GLIM criteria than using anthropometric measurement alone.

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.

The relationship between the GLIM-defined malnutrition, body composition and functional parameters, and clinical outcomes in elderly patients undergoing radical gastrectomy for gastric cancer

OBJECTIVE

The present study aims to determine the correlations between Global Leadership Initiative in Malnutrition (GLIM)-defined malnutrition and body composition and functional parameters, and to comprehensively analyze the predictive value of GLIM-defined malnutrition for postoperative outcomes in the context of detailed measurement of body composition and functional parameters in elderly patients who underwent radical gastrectomy for gastric cancer.

METHODS

Elderly patients (aged ≥65 years) who underwent radical gastrectomy for gastric cancer from August 2014 to June 2019 were included. Malnutrition was diagnosed using the GLIM criteria. Skeletal muscle index (SMI), skeletal muscle density (SMD), subcutaneous fat area (SFA), and visceral fat area (VFA) were analyzed using abdominal computed tomography (CT) images. Handgrip strength and 6-m gait speed were measured.

RESULTS

A total of 597 elderly patients were included in this study, in which 45.7% were at risk of malnutrition identified using Nutritional Risk Screening 2002 (NRS 2002), and 34.5% were diagnosed with malnutrition. Patients with malnutrition had lower SMI, SMD, SFA, VFA, lower handgrip strength and gait speed. Low handgrip strength and age ≥80 years were independent risk factors for postoperative complications, rather than GLIM-defined malnutrition. GLIM-defined malnutrition was independently associated with overall survival and disease-free survival after adjusting to the body composition and functional parameters in the multivariate analyses.

CONCLUSIONS

GLIM-defined malnutrition was a better predictive factor than single parameters of body composition or physical function for survival in elderly gastric cancer patients. Handgrip strength can be used as a supportive measure to further improve the definition of malnutrition.