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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Nurses' nutritional care practice and associated factors for hospitalized surgical patients; the case of referral hospitals in Bahir Dar City, Ethiopia

BACKGROUND

The prevalence of malnutrition in hospitalized patients continues to be high across countries, including Ethiopia. Although Nurses have key role to provide nutritional care, their practice is unknown in Ethiopia.

OBJECTIVE

we aimed to assess nurses' nutritional care practice and associated factors for hospitalized surgical patients in Bahir Dar city.

METHODS

An institution based cross-sectional study was conducted among 422 nurses in Bahir Dar City referral hospitals from February 1 to March 1/ 2023. Participants were selected by trained data collectors using simple random sampling. Data was collected using structured, self-administered and pre-tested tool and entered into Epi-info 7 & exported to SPSS version 23 for analysis. Multiple binary logistic regression used to identify factors and p-value of < 0.05 used to determine significant association with 95% CI odds ratio.

RESULT

In this study, 410 of 422 nurses were participated. Overall, 143 (35%) 95% CI: 30.5, 39.8) of nurses had good practice on the nutritional care. Female nurses (AOR = 2.69, 95% CI, 1.62, 4.44), nutrition guidelines (AOR = 2.59, 95% CI, 1.52, 4.39), physician order (AOR = 1.82 95% CI, 1.11, 3.00), experience sharing with peers (AOR = 1.74, 95%CI 1.05, 2.87) nurse to patient ratio < 1:5 (AOR = 1.75, 95%CI, 1.01, 3.02), were positively associated with their practice. But, poor knowledge (AOR = 0.50, 95%CI, 0.30, 0.83), and unfavorable attitude (AOR = 0.51 95%CI, 0.30, 0.84) were negatively associated with their practice.

CONCLUSION

The practice of nurses in nutritional care was low. Gender, access to nutritional information sources, physician orders, nurses to patient ratio, knowledge, and attitude of nurses were factors associated with their practice. Therefore; training, guideline access, experience sharing, and increasing nursing staff is crucial to provide optimal nutritional care for hospitalized patients.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSION

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

IMPLICATIONS FOR NURSING PRACTICE

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

Global prevalence and moderating factors of malnutrition in colorectal cancer survivors: A meta-analysis

PURPOSE

This meta-analysis aims to estimate the global prevalence of severe, moderate, overall malnutrition and moderating factors of malnutrition in colorectal cancer (CRC) survivors.

METHODS

A comprehensive search was conducted in Embase, CINAHL, Medline-OVID, PubMed, Scopus, and Web of Science from inception to February 8, 2024, without language, region, or publication date restrictions. A generalized linear mixed model and random-effects model were used to examine the pooled prevalence, and moderator analyses were implemented to investigate variations in the pooled prevalence.

RESULTS

In 35 studies involving 9,278 colorectal cancer survivors, the global prevalence was 12.10% for severe malnutrition (95% confidence interval (CI): 7.28-16.92; n = 507), 33.13% for moderate malnutrition (95% CI: 28.93-37.34; n: 2,192), and 47.78% for overall malnutrition (95% CI: 41.60-53.96; n: 3,812). Asia showed higher rates of severe malnutrition 16.67% (95% CI: 4.66-28.68, n: 232) and overall malnutrition 53.17% (95% CI: 39.66-66.69, n: 1,913), whereas low-middle income countries demonstrated higher rates of overall malnutrition 67.46% (95% CI: 30.25-100.00, n: 82). Male sex, colon cancer, advanced stage, metastasis, chemotherapy, surgery, adjuvant treatment, smoking, alcohol consumption, hypertension, and diabetes significantly moderated overall malnutrition prevalence.

CONCLUSIONS

This meta-analysis reports detailed data on the global prevalence of CRC survivors experience malnutrition, highlighting that health-care professionals should consider the identified moderating factors.

IMPLICATIONS FOR CANCER SURVIVORS

Addressing malnutrition in CRC survivors is critical, as early and proactive nutritional management can enhance recovery, improve quality of life, and potentially reduce cancer-related complications associated with malnutrition.

Exploring the intersections of frailty, sarcopenia, and cachexia with malnutrition

This review examines our current understanding of consensus definitions for frailty, sarcopenia, and cachexia and their perceived overlap with malnutrition. Patients with these syndromes will often meet the criteria for malnutrition. It is common for these overlap syndromes to be misapplied by practitioners, and confusion has been further exacerbated by the lack of a common malnutrition language. To address the latter concern, we recommend using either the standalone Global Leadership Initiative in Malnutrition (GLIM) framework or the GLIM consensus criteria integrated with other accepted approaches as dictated by preference and available resources. Established care standards should guide the recognition and treatment of malnutrition to promote optimal clinical outcomes and quality of life. The effectiveness of nutrition interventions may be reduced in settings of severe acute inflammation and in end-stage disease that is associated with cachexia. However, such interventions may still assist patients to tolerate treatments that target the underlying etiology for an overlap syndrome, and they may help to improve select clinical outcomes and quality of life. Recent, large, well-designed randomized controlled trials have demonstrated the compelling positive clinical effects of medical nutrition therapy. The application of concurrent malnutrition risk screening and assessment is therefore a high priority. The necessity to deliver specific interventions that target the underlying mechanisms of these overlap syndromes and also diagnose and address malnutrition is paramount. It must be highlighted that securing beneficial outcomes for frailty, sarcopenia, and cachexia will also require nonnutrition interventions, like comprehensive care plans, pharmacologic agents, and prescribed exercise.

Comparative Study of Different Inflammation Definition Methods of GLIM in the Diagnosis of Malnutrition in Patients with Acute Pancreatitis

Purpose

This study aims to investigate the influence of the Global Leadership Initiative on Malnutrition (GLIM) on diagnosing malnutrition in acute pancreatitis (AP) based on various inflammatory criteria.

Patients and Methods

A total of 258 AP patients admitted to a large medical center between June 2019 and January 2022 were retrospectively analyzed. All patients underwent evaluation using the original GLIM and GLIM criteria based on C-reactive protein (CRP), albumin, neutrophil/lymphocyte ratio, and CRP/albumin ratio (CAR). The study explored the impact of malnutrition diagnosis using different GLIM criteria on various clinical outcomes of AP patients and assessed the agreement of different GLIM criteria compared to the original GLIM.

Results

Thirty-seven (14.34%) patients were malnourished according to the original GLIM criteria. Using the other four criteria, malnutrition rates ranged from 6.59% to 12.40%. Malnutrition diagnosed by all GLIM criteria was associated with local complications. Malnutrition identified by the original, CRP-based, and CAR-based GLIM criteria was also associated with infectious complications and composite outcomes. Meanwhile, albumin-based malnutrition was associated with all adverse outcomes except organ failure. When considering all four GLIM criteria except the original one, malnourished patients exhibited longer lengths of stay than non-malnourished patients. Under the CRP- and albumin-based GLIM criteria, hospitalization costs were higher for malnourished patients. The sensitivity analyses demonstrated the robustness of the results. The agreement of the four GLIM criteria with the original GLIM criteria were consistent with the corresponding incidence of malnutrition.

Conclusion

This study validated the GLIM criteria for the first time in AP. Malnourished patients were more likely to experience local complications than non-malnourished AP patients. However, the inconsistency between GLIM criteria based on disease burden and various inflammatory markers was significant. The inflammatory marker-based GLIM criteria demonstrated a stronger predictive value than the original GLIM criteria in assessing prognosis in AP patients.

Nutritional risk screening: a need to guide Alice in Nutritionland

PURPOSE OF REVIEW

With the shifts in society, healthcare and the profile of the malnourished individual, a re-consideration of the goal of nutritional risk screening is needed: screening for malnutrition, or screening for risk of malnutrition? In this review article, we reflect on the role of nutritional risk screening in relation to prevention and treatment of malnutrition.

RECENT FINDINGS

Within the Global Leadership Initiative on Malnutrition (GLIM) Initiative, modified Delphi studies are currently being conducted to reach global consensus on the conceptual definition and operationalization of 'risk of malnutrition'. This is necessary because various studies have demonstrated that different nutritional screening tools identify different individuals, due to variability in screening tool criteria, which influences GLIM outcomes. Upon screening, three different situations can be distinguished: having risk factors for malnutrition without clear signs of presence of malnutrition, having mild signs of malnutrition (malnutrition in progress), or having obvious signs of malnutrition.

SUMMARY

The outcomes of the studies on 'risk of malnutrition' will guide the screening step within the GLIM process, and will help professionals to make informed choices regarding screening policy and screening tool(s).

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

Background and Aim

The Global Leadership Initiative on Malnutrition (GLIM) has proposed criteria for the diagnosis of malnutrition. No studies validated the GLIM criteria in acute pancreatitis (AP). The present study aimed to validate the predictive capacity of GLIM criteria for adverse outcomes in AP patients.

Patients and Methods

Clinical data of 269 patients with AP were analyzed retrospectively. The Nutritional Risk Screening 2002 (NRS2002) was chosen as the screening tool. Multivariate logistic regression analyses evaluated the adverse clinical outcomes in malnourished patients.

Results

Overall, 160 patients (59.5%) were at nutritional risk and 38 (14.1%) were malnourished. Reduced muscle mass/ low body mass index + inflammation combinations contributed most to malnutrition overall and in each subgroup. The malnourished group had lower hemoglobin, neutrophils, albumin, total cholesterol, and triglycerides than the well-nourished group. The malnourished group had higher hospitalization costs (CNY, 11319.34 vs 9258.22, p <0.001) and more local complications (34.2% vs 14.7%, p =0.009) than the well-nourished group. There was an interaction between malnutrition and overweight/obesity on local complications (p for interaction = 0.023). Multivariate logistic regression showed malnutrition was significantly associated with local complications (OR 12.2, 95% CI: 2.51-59.37), infectious complications (OR 9.95, 95% CI: 1.25-79.44) and composite adverse outcome (OR 4.78, 95% CI: 1.05-21.73) in the overweight/obesity subgroup. There was no association between malnutrition and the rate of various adverse outcomes in the non-overweight/obesity subgroup. Additionally, we observed an association between malnutrition and composite adverse outcome (OR 6.75, 95% CI: 1.49-30.68) in patients <70 years only in females.

Conclusion

Malnourished AP patients were more likely to have adverse outcomes than well-nourished patients. Malnutrition was associated with various adverse outcomes only in the overweight/obesity subgroups.

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

Background

Systemic immune-inflammation index (SII) is associated with increased risk in a wide range of illnesses. However, few studies have explored the associations between SII and the risk of malnutrition. Therefore, this study aimed to investigate the association between SII and malnutrition in a nationwide, multicenter, cross-sectional study involving Chinese hospitalized patients.

Design

From August 2020 to August 2021, a total of 40,379 hospitalized patients met the inclusion and exclusion criteria. Detailed demographic data, diagnoses, as well as physical and laboratory examination results were recorded. The diagnosis of malnutrition was used with two distinct methods: the Malnutrition Screening Tool 2002 (NRS 2002) + Global Leaders Initiative on Malnutrition (GLIM) criteria and the controlling nutritional status (CONUT) score. The risk factors for malnutrition were analyzed using binary logistic regression and multiple logistic regression to obtain odds ratios (OR) and 95% confidence intervals (CI). Restricted cubic spline (RCS), linear spline, and receiver operating characteristic (ROC) analysis were also used.

Results

The prevalence of malnutrition diagnosed by the two methods was 13.4% and 14.9%, respectively. In the NRS 2002 + GLIM diagnostic model, lnSII showed statistical significance between the malnutrition and non-malnutrition group (6.28 ± 0.78 vs. 6.63 ± 0.97, p < 0.001). A positive association was observed between higher SII and the risk of malnutrition in both before and after adjustment models compared to the first quartile (Q3 vs. Q1, OR = 1.27, 95%CI: 1.15-1.40; Q4 vs. Q1, OR = 1.83, 95%CI: 1.67-2.00). However, a significant reduction in prevalence was observed when SII was in the second quartile (Q2 vs. Q1, OR < 1), as indicated by a restricted cubic spline with a U trend (p for nonlinear <0.001). According to the CONUT score, the prevalence of individuals with normal nutritional status decreased with increasing SII, while the occurrence of three different degrees of malnutrition generally increased. The Kappa value between the two diagnostic methods was 0.23, and the merged data observed an area under the ROC curve of 0.73 (95%CI: 0.714-0.742).

Conclusion

The U-shaped association between SII and the prevalence of malnutrition was observed. Both lower and higher SII levels (either continuous or categorical variable) were significantly associated with an increased risk of malnutrition.

How to detect non-institutionalized older patients at risk of malnutrition during their hospitalization? Comparison of 8 screening tools for malnutrition or nutritional risk

BACKGROUND

The prevalence of malnutrition is high among the elderly population. Hospital admission is a window of opportunity for its detection.

OBJECTIVE

To assess the concordance of different nutritional scales in hospitalized patients.

METHODS

Prospective study in non-institutionalized patients over 65 years of age admitted to an internal medicine department. Five malnutrition screening surveys (MNA, MST, MUST, NRS-2000 and CONUT) and three nutritional risk screening surveys (SCREEN 3, 8 and 14) were compared. As gold standard we use the Global Malnutrition Leadership Initiative for Malnutrition (GLIM) definition of malnutrition.

RESULTS

Eighty-five patients (37% female, median age 83 years) were included. Forty-eight percent (95% CI 38-59%) of patients were classified as malnourished according to GLIM criteria. The SCREEN 3 scale was the most sensitive (93%; 95% CI 87-98) and MUST the most specific (91%; CI 85-99). The most effective scale for excluding suspected malnutrition was SCREEN 3 (LR- 0.17; 95% CI 0.05-0.53) and the best for confirming it was MST (LR+ 7.08; 95% CI 3.06-16.39). Concordance between the different scales was low or very low with kappa indices between 0.082 and 0.465.

CONCLUSIONS

A comprehensive approach is needed to detect malnutrition in hospitalized patients. More sensitive scales are more useful in initial screening. Nutritional risk tools could be effective at this stage. In a second step, malnutrition should be confirmed according to established criteria such as GLIM.

Bridging gaps in cancer cachexia Care: Current insights and future perspectives

Cachexia is characterized by severe weight loss and skeletal muscle depletion, and is a threat to cancer patients by worsening their prognosis. International guidelines set indications for the screening and diagnosis of cancer cachexia and suggest interventions (nutritional support, physical exercise, and pharmacological treatments). Nevertheless, real-life experience not always aligns with such indications. We aimed to review the current state of the field and the main advancements, with a focus on real-life clinical practice from the perspectives of oncologists, nutrition professionals, and radiologists. Pragmatic solutions are proposed to improve the current management of the disease, emphasizing the importance of increasing awareness of clinical nutrition's benefits, fostering multidisciplinary collaboration, promoting early identification of at-risk patients, and leveraging available resources. Given the distinct needs of patients who are receiving oncologic anti-cancer treatments and those in the follow-up phase, the use of tailored approaches is encouraged. The pivotal role of healthcare professionals in managing patients in active treatment is highlighted, while patient and caregiver empowerment should be strengthened in the follow-up phase. Telemedicine and web-based applications represent valuable tools for continuous monitoring of patients, facilitating timely and personalized intervention through effective communication between patients and healthcare providers. These actions can potentially improve the outcomes, well-being, and survival of cancer patients with cachexia.

A Comprehensive Review of Bioactive Compounds from Lactic Acid Bacteria: Potential Functions as Functional Food in Dietetics and the Food Industry

Lactic acid bacteria (LAB) are beneficial microbes known for their health-promoting properties. LAB are well known for their ability to produce substantial amounts of bioactive compounds during fermentation. Peptides, exopolysaccharides (EPS), bacteriocins, some amylase, protease, lipase enzymes, and lactic acid are the most important bioactive compounds generated by LAB activity during fermentation. Additionally, the product produced by LAB is dependent on the type of fermentation used. LAB derived from the genera Lactobacillus and Enterococcus are the most popular probiotics at present. Consuming fermented foods has been previously connected to a number of health-promoting benefits such as antibacterial activity and immune system modulation. Furthermore, functional food implementations lead to the application of LAB in therapeutic nutrition such as prebiotic, immunomodulatory, antioxidant, anti-tumor, blood glucose lowering actions. Understanding the characteristics of LAB in diverse sources and its potential as a functional food is crucial for therapeutic applications. This review presents an overview of functional food knowledge regarding interactions between LAB isolated from dairy products (dairy LAB) and fermented foods, as well as the prospect of functioning LAB in human health. Finally, the health advantages of LAB bioactive compounds are emphasized.