Accuracy of three tools for malnutrition diagnosis in hospitalised patients: Comparison to subjective global assessment

Malnutrition in hospitalized adults in the United States, 2016-2019

BACKGROUND

Malnutrition in hospitalized patients is associated increased length of stay, cost, readmission, and death. No recent studies have examined trends in prevalence or outcomes of hospitalized patients with a diagnosis of malnutrition.

OBJECTIVES

To study the prevalence of malnutrition diagnostic codes and associated hospital outcomes in the United States between 2016 and 2019.

METHODS

We conducted a retrospective trends study to identify use of malnutrition codes in hospitalizations in the National Inpatient Sample between 2016 and 2019. We used direct standardization by logistic regression to adjust outcomes of percutaneous gastrostomy tube placement, mechanical ventilation, and death for age, Gagne comorbidity score, and sex. We then used linear regression to test for trends over time by malnutrition type.

RESULTS

Across all hospitalizations, codes for diagnoses of non-severe malnutrition and severe malnutrition were present in 3.7% and 4.1% of hospitalizations, respectively. Codes for any malnutrition increased over time, from 6.6% in 2016 to 8.6% in 2018 (p = .03). Codes for severe malnutrition increased from 3.3% to 4.7% (p = .01). Among hospitalizations with coded severe malnutrition diagnoses, there was a statistically significant decrease in adjusted rate of death over time (-0.54% per year, p = .03) which was not seen in hospitalizations without coded malnutrition diagnoses.

CONCLUSIONS

Use of malnutrition diagnosis codes increased significantly from 2016 to 2019. During this time, mortality among hospitalizations with a diagnosis code for severe malnutrition decreased. Though the increased prevalence of malnutrition codes may represent a change in the clinical characteristics of hospitalized patients, the decline in mortality suggests some of the increase may be due to lower threshold for coding and assignment of the diagnosis to less ill patients.

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.

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

BACKGROUND & AIMS

The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation in support of the etiologic criterion for inflammation.

METHODS

A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified-Delphi review. A multi-round review and revision process served to develop seven guidance statements.

RESULTS

The final round of review was highly favorable with 99 % overall "agree" or "strongly agree" responses. The presence of acute or chronic disease, infection or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (mg/dL or mg/L) for the clinical laboratory that is being used.

CONCLUSION

Confirmation of inflammation should be guided by clinical judgement based upon underlying diagnosis or condition, clinical signs, or CRP.

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

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation, and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation.

METHODS

A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified Delphi review. A multiround review and revision process served to develop seven guidance statements.

RESULTS

The final round of review was highly favorable, with 99% overall "agree" or "strongly agree" responses. The presence of acute or chronic disease, infection, or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (milligrams per deciliter or milligram per liter) for the clinical laboratory that is being used.

CONCLUSION

Confirmation of inflammation should be guided by clinical judgment based on underlying diagnosis or condition, clinical signs, or CRP.

Global Leadership Initiative on Malnutrition criteria for the diagnosis of malnutrition and prediction of mortality in patients awaiting liver transplant: A validation study

OBJECTIVES

The Global Leadership Initiative on Malnutrition (GLIM) is a framework aiming to standardize malnutrition diagnosis. However, it still needs to be validated, in particular for patients with chronic liver disease. This study aimed to validate the GLIM criteria in patients with liver cirrhosis awaiting liver transplant (LTx).

METHODS

This was a retrospective observational study carried out with adult patients on the waiting list for LTx, consecutively evaluated between 2006 and 2021. The phenotypic criteria were unintentional weight loss, low body mass index, and reduced muscle mass (midarm muscle circumference [MAMC]). The etiologic criteria were high Model for End-Stage Liver Disease (MELD) and MELD adjusted for serum sodium (MELD-Na) scores, the Child-Pugh score, low serum albumin, and low food intake and/or assimilation. Forty-three GLIM combinations were tested. Sensitivity (SE), specificity (SP), positive and negative predictive values, and machine learning (ML) techniques were used. Survival analysis with Cox regression was carried out.

RESULTS

A total of 419 patients with advanced liver cirrhosis were included (median age, 52.0 y [46-59 y]; 69.2% male; 68.8% malnourished according to the Subjective Global Assessment [SGA]). The prevalence of malnutrition by the GLIM criteria ranged from 3.1% to 58.2%, and five combinations had SE or SP >80%. The MAMC as a phenotypic criterion with MELD and MELD-Na as etiologic criteria were predictors of mortality. The MAMC and the presence of any phenotypic criteria associated with liver disease parameters and low food intake or assimilation were associated with malnutrition prediction in ML analysis.

CONCLUSIONS

The MAMC and liver disease parameters were associated with malnutrition diagnosis by SGA and were also predictors of 1-y mortality in patients with liver cirrhosis awaiting LTx.

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.

Utility of the Global Leadership Initiative on Malnutrition criteria for the nutritional assessment of patients with end-stage renal disease receiving chronic hemodialysis

BACKGROUND

Malnutrition is associated with adverse outcomes in patients on chronic haemodialysis. Thus, identifying accurate methods for diagnosing malnutrition is essential. The present retrospective study investigated the utility of the new Global Leadership Initiative on Malnutrition (GLIM) criteria in patients undergoing chronic haemodialysis.

METHODS

Phase angle and fat-free mass index (FFMI) were derived using bioelectrical impedance analysis. Malnutrition was determined when the subjects had at least one phenotypic criterion (weight loss, low body mass index [BMI] or FFMI).

RESULTS

This study included 103 patients undergoing chronic haemodialysis and 46 (44.7%) patients were diagnosed as malnourished. Malnutrition determined using the GLIM criteria was associated with increased risks of all-cause death (hazard ratio = 3.0, p = 0.044) and infection requiring hospitalisation (hazard ratio = 2.4, p = 0.015), independent of age, sex and comorbidities. However, malnutrition was not related to major adverse cardiovascular events (p = 0.908). We further evaluated the longitudinal changes in phenotypic parameters. Subjects with median levels of high-sensitivity C-reactive protein exceeding 5 mg L^-1 exhibited decreased body weight and BMI (p = 0.015 and 0.016, respectively). In addition, body weight, BMI and FFMI were reduced in subjects with a median protein catabolic rate of < 1.0 mg kg^-1 day^-1 , even after adjustment for age, sex and comorbidities (p = 0.026, 0.053 and 0.039, respectively).

CONCLUSIONS

Malnutrition assessed using the GLIM criteria could be a useful predictor of mortality and infection in patients on chronic haemodialysis. To improve nutritional status, approaches for decreasing inflammation and increasing protein intake are needed.

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.

Body impedance analysis to estimate malnutrition in inflammatory bowel disease patients - A cross-sectional study

OBJECTIVE

Malnutrition is a common clinical problem in patients with inflammatory bowel diseases (IBD). However, a gold standard for the detection of malnutrition in IBD patients is lacking.

METHODS

A cross-sectional study to assess malnutrition in patients with IBD and healthy controls (HCs). Clinical characteristics (Montreal classification, disease activity, previous surgery) and mutations in the NOD2 gene in patients with Crohn's disease (CD) were obtained. We performed a nutritional assessment with screening for nutritional risk and diagnosis for malnutrition (Malnutrition Universal Screening Tool [MUST]) score, NRS-2002, European Society for Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM) criteria and performed body impedance analysis (BIA).

RESULTS

101 IBD patients (57 CD and 44 ulcerative colitis (UC) and 50 HC were included in a single northern German tertiary center. GLIM criteria detected malnutrition significantly more often compared to the ESPEN criteria. Active disease, a long-standing disease course, and previous surgery were associated with reduced muscle mass. IBD patients had a higher fat mass index compared to HC. Mutations in the NOD2 gene had no effect on nutritional status.

CONCLUSIONS

The GLIM criteria detect malnutrition at a higher rate compared to ESPEN. Specific disease factors might put IBD patients at a higher risk for the development of malnutrition, so these patients might benefit from a frequently performed screening, which might result in a favorable disease course.

Research progress of clinical intervention and nursing for patients with post-stroke dysphagia

Post-stroke dysphagia (PSD) is a common and costly complication of stroke and is associated with increased mortality, morbidity, and hospitalization. Although most patients can spontaneously resume swallowing, there are still many patients who do not recover and even die. Despite multiple advances in the acute treatment and secondary prevention of stroke, the effective treatment of PSD remains a neglected area. Studies have shown that repair mechanisms of neurostimulation techniques and increased cortical activity play an important role in the treatment of PSD. In addition, nutritional interventions are also crucial for the treatment of malnutrition in PSD patients. Therefore, this article reviews the effects of the current main clinical treatment methods and nutritional interventions on the treatment and rehabilitation of PSD patients. It also emphasized the necessity of developing an individualized care plan for PSD patients, which is of great significance to promote the clinical treatment, nutritional status, prognosis, and quality of life of PSD patients.

Nutritional Status Assessed with Objective Data Assessment Correlates with a High-Risk Foot in Patients with Type 2 Diabetes

Malnutrition and diabetes are likely to co-occur. There are few reports on the association between nutritional status and foot risk in patients with type 2 diabetes (T2D). Therefore, we aimed to investigate this relationship in this cross-sectional study. We investigated the relationships between objective data assessment (ODA), especially Controlling Nutritional Status (CONUT) score and foot risk, evaluated by the International Working Group on the Diabetic Foot (IWGDF), in consecutive patients with T2D. Patients were divided into groups 0 to 3 by IWGDF, and groups 1 to 3 were defined as high-risk groups. Among 469 patients, 42.6% (n = 200) of them had high-risk foot. Patients with high-risk foot were significantly older (71.2 ± 11.3 vs. 64.2 ± 13.4 years, p < 0.001) and had a longer duration of diabetes (18.0 ± 12.0 vs. 11.5 ± 10.0 years, p < 0.001) than those in the low-risk group. In the high-risk group, serum albumin level, total lymphocyte count, hemoglobin, and CONUT score were significantly worse, especially in older patients (≥75 years). Multivariate logistic regression analysis showed that there was a positive correlation between CONUT score and high-risk foot in older patients (OR, 1.37; 95% CI, 1.05−1.86; p = 0.021). Our results indicated that nutritional status, assessed by ODA, correlated with high-risk foot, especially in older patients with T2D.

AND/ASPEN and the GLIM Malnutrition Diagnostic Criteria have a High Degree of Criterion Validity and Reliability for the Identification of Malnutrition in a Hospital Setting: A Single-Center Prospective Study

BACKGROUND

Multiple malnutrition diagnostic tools are available in clinical practice yet evidence on their validity and reliability is limited. We aim to assess and compare the validity and reliability of the different combinations of indicators of the three diagnostic tools most used compared to two validated malnutrition screening tools.

METHODS

Nutritional risk screening was evaluated using the Mini-Nutritional Assessment Short Form (MNA-SF) and Nutrition Risk Screening-2002 (NRS-2002), and nutritional assessment was conducted using different combinations of the Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN), The European Society of Clinical Nutrition and Metabolism (ESPEN), and Global Leadership Initiative on Malnutrition (GLIM). Concurrent criterion validity and inter-rater reliability of the overall and the different combinations of indicators in the diagnostic tools were evaluated and compared. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa (ĸ) were calculated to determine tool validity and reliability.

RESULTS

AND/ASPEN [132(22.8%)] combination and GLIM-1 [133(23.0%)] (weight loss + compromised food intake) predicted the highest number of malnourished patients and reported a high degree of concurrent criterion validity, agreement, and reliability. On the contrary, overall ESPEN (using any combination) and GLIM-2 (reduced Body Mass Index-BMI + compromised food intake) reported only moderate criterion validity and low agreement and reliability.

CONCLUSION

Different combinations of diagnostic criteria led to varying validity and reliability, with the lowest validation results rising from the combinations of indicators using BMI as a criterion for malnutrition diagnosis. This article is protected by copyright. All rights reserved.

Role of the nutrition-focused physical examination in identifying malnutrition and its effectiveness

It has long been recognized that malnutrition changes physical appearance, as evidenced by muscle wasting, losses of fat stores, signs of vitamin and mineral deficiencies, and reduced physical activity. Malnutrition is associated with poor clinical outcomes and quality of life. Various nutrition assessment parameters have been used to determine the presence and degree of malnutrition, including use of anthropometric measurements and laboratory values. In the mid-1980s, the Subjective Global Assessment (SGA) tool was developed in acknowledgement of the physical features of malnutrition; an evaluation of muscle mass, fat stores, edema, and functional capacity was a major component of the SGA. SGA became a gold standard for nutrition assessment. Since then, nutrition assessment evolved from anthropometric tools and laboratory values to one based on the nutrition-focused physical examination (NFPE). NFPE uses a head-to-toe approach to evaluate muscle mass, fat stores, fluid retention, micronutrient deficiencies, and functional capacity. In 2012, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) developed a standardized definition for malnutrition diagnoses for coding and reimbursement; the AND/ASPEN malnutrition diagnosis is derived from the SGA. A few studies demonstrated good agreement between SGA and AND/ASPEN malnutrition criteria in diagnosing malnutrition, and some studies have shown malnutrition, as diagnosed by AND/ASPEN criteria, is associated with poor clinical outcomes. More research is needed to validate the AND/ASPEN malnutrition diagnosis criteria.