Validation of modified GLIM criteria to predict adverse clinical outcome and response to nutritional treatment: A secondary analysis of a randomized clinical trial

Organization of nutritional care

The increasingly complex health care systems, the large and diverse population to whom nutritional therapy is addressed, and the need of specialized health care professionals implies an organizational strategy to be defined. The organization of nutritional care is a fundamental strategy to promote an optimal, quality and safety nutritional therapy. This is why, the organization of nutritional care should be based on 4 principles, including: Nutritional care should be considered as a process, a multidisciplinary approach is essential to a good nutritional care, the economic approach and the patient centered approach are essential to the organization of nutritional care. In this paper we will address the organization of nutritional care and its 4 principles.

Global Leadership Initiative on Malnutrition (GLIM) plus Patient- and Nutrition-Derived Outcome Risk Assessment Score (PANDORA) predicts intensive care mortality: A 180-day follow-up study

BACKGROUND AND AIM

Malnutrition is strongly related to mortality in intensive care unit (ICU) patients. The Patient- and Nutrition-Derived Outcome Risk Assessment Score (PANDORA) is a novel mortality prediction tool encompassing nutritional assessment. Since there is limited evidence regarding the power of PANDORA in predicting mortality in critically ill patients, we aimed to evaluate the benefit of adding PANDORA to the Global Leadership Initiative on Malnutrition (GLIM) for mortality prediction in the ICU setting by comparing it with the other valid mortality predictors.

METHODS

A total of 251 ICU patients were enrolled in the study. Malnutrition evaluation tools (i.e., GLIM criteria, The nutritional risk screening 2002, The modified Nutrition Risk in Critically Ill score), and mortality/disease severity tools (PANDORA, The Acute Physiology and Chronic Health Evaluation II score, Sequential Organ Failure Assessment) were performed. Scores ≥43 were defined as high PANDORA score.

RESULTS

The median age (IQR) of participants was 67 (52-78) years, and 47.0% (n = 118) were female. Patients were evaluated according to 30th, 60th, 90th, and 180th-day mortalities. In all groups, patients were older, had a lower body mass index and longer hospitalization time, and were more likely to have malnutrition and higher PANDORA, Acute Physiology and Chronic Health Evaluation II, and Sequential Organ Failure Assessment scores. In the Cox regression analyses, even if adjusted for various confounders, malnutrition according to GLIM criteria and a high PANDORA score had the highest hazard ratio (HR) for mortality (HR: 3.62; 95% confidence interval [CI]: 1.49-8.77; P = 0.004, HR: 3.71; 95% CI: 1.69-8.12; P = 0.001, HR: 3.46; 95% CI: 1.69-7.06; P = 0.001 and HR: 4.00; 95% CI: 1.98-8.09; P = 0.004 for 30th, 60th, 90th, and 180th days, respectively).

CONCLUSIONS

PANDORA is a valid tool for predicting mortality in ICU patients. Furthermore, to our knowledge this is the first study to reveal that integrating GLIM criteria into PANDORA may enhance its power in this setting.

Use of C-Reactive Protein in Global Leadership Initiative on Malnutrition (GLIM) Etiologic Criteria for Critically Ill Patients: A Retrospective Claims Database Study

Background/Objectives: The Global Leadership Initiative on Malnutrition (GLIM) is suggested by major societies. The etiologic criteria for inflammation in critically ill patients remain unclear. Because an initial nutritional assessment is recommended within 48 h, it is also possible to use C-reactive protein (CRP) up to 3 days after admission. The purpose of the present study is to explore the utility of CRP in identifying malnutrition and to determine whether a nutritional assessment incorporating CRP criteria can effectively identify malnourished patients in the intensive care unit (ICU). Methods: This was a retrospective cohort study of ICU patients. The primary outcome was a composite of in-hospital mortality, Barthel index < 60 at discharge, and length of hospital stay of 14 days or more. The area under the curve (AUC) for the primary outcome was calculated using CRP between days 0 and 2. We divided the patients into four groups using inflammation criteria with the optimal cut-off and low body mass index (BMI) criteria of the GLIM: CRP+/-, and BMI+/-. Results: A total of 38,981 patients were included. The AUC of the highest CRP between days 0 and 2 was 0.65, which was higher than the CRP on day 0 and the highest CRP between days 0 and 1 (0.59 and 0.63). The AUC and optimal cut-offs varied depending on diagnoses, with a maximum of 0.75 in neurology. The optimal cut-off for the maximum CRP was 3.82 mg/dL. In the four groups of CRP+BMI+, CRP+BMI-, CRP-BMI+, and CRP-BMI-, the in-hospital mortality values were 22.7, 14.4, 10.8, and 4.8% (p < 0.001 between all the groups). Conclusions: In an initial nutritional assessment of critically ill patients, it would be appropriate to use the maximum CRP over 3 days from ICU admission.

GLIM-defined malnutrition in patients with acute abdomen associated with poor prognosis and increased economic burden: A cross-sectional study

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological framework for nutrition diagnosis. However, the applicability of the GLIM criteria in patients with acute abdomen has not been validated.

METHODS

This is a cross-sectional study conducted on patients diagnosed with acute abdomen and admitted to a tertiary hospital in southwest China. Nutrition risk screening was conducted using the Nutrition Risk Screening 2002, and patients identified with nutrition risk were assessed for malnutrition based on the GLIM criteria.

RESULTS

We enrolled a total of 440 patients with acute abdomen. The top three diagnoses of acute abdomen were intestinal obstruction (47.2%), acute appendicitis (23.1%), and digestive system perforation (8.8%). The prevalence of nutrition risk was 46.5%, with a malnutrition rate of 32.5% based on the GLIM. Patients with malnutrition according to the GLIM showed significantly higher rates of intensive care unit (ICU) admission (13.28% vs 7.07%; P = 0.003), increased hospitalization costs (median: 3315USD [interquartile range (IQR): 978-7852] vs 1641 [IQR: 816-3523] USD; P < 0.001), and longer length of hospital stay (LOS) (median: 8 [IQR: 5-13] vs 6 [IQR: 4-8] days; P < 0.001) compared with patients without malnutrition. Multivariate analysis indicated that GLIM-defined malnutrition was an independent predictor of hospitalization costs, and severe malnutrition was an independent predictor of ICU admission.

CONCLUSION

GLIM criteria are applicable for diagnosing malnutrition in patients with acute abdomen. The prevalence of malnutrition was high in patients with acute abdomen. Malnutrition was associated with increased ICU admission and LOS, along with higher economic burden.

Sex differences in clinical presentation, treatment response, and side effects of nutritional therapy among patients at nutritional risk: a secondary analysis of the randomized clinical trial EFFORT

BACKGROUND

Considering sex-specific factors has become an increasingly recognized area for research and practice, in the field of clinical nutrition, there is insufficient evidence regarding differences in clinical presentation, treatment response, and side effects of nutritional therapy among female and male patients.

OBJECTIVES

We hypothesized that the clinical presentation, response to nutritional therapy, and side effects from the intervention would differ in the two sexes.

METHODS

This secondary analysis investigated differences among female and male patients at risk for malnutrition regarding initial presentation, clinical outcomes, and treatment response in patients included in the Effect of Early Nutritional Support on Frailty, Functional Outcomes, and Recovery of Malnourished Medical Inpatients Trial (EFFORT), a randomized controlled trial comparing individualized nutritional support to usual care.

RESULTS

Of 2028 patients included in the trial, 964 were females and 1064 were males. The nutritional history and clinical presentation of female patients was different: they consumed less food and had a greater loss of appetite than the male population. Male patients had higher risk for mortality at 180 d [27% compared with 19%; adjusted hazards ratio (HR): 1.35; 95% CI: 1.12, 1.63] and further adverse clinical outcomes. However, there was no difference in the effect of nutritional support on mortality among female and male patients (HR: 0.76; 95% CI: 0.45, 1.27, compared with HR: 0.81; 95% CI: 0.54, 1.21, respectively; P-interaction = 0.939).

CONCLUSIONS

Results of this multicenter randomized trial suggest that multimorbid female inpatients have a different clinical presentation and are more prone to loss of appetite and reduced daily dietary intake than male inpatients. Importantly, the favorable response to nutritional interventions was similar in both sexes. This trial was registered at clinicaltrials.gov as NCT02517476.

Muscle matters: Prognostic implications of malnutrition and muscle health parameters in patients with cancer. A secondary analysis of a randomised trial

BACKGROUND

Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting malnutrition and muscle health in a well-characterised oncology population at nutritional risk.

METHODS

This preplanned secondary analysis included patients with cancer from a Swiss-wide, randomised-controlled nutritional trial. We investigated associations among malnutrition markers (i.e., malnutrition diagnosis based on modified Global Leadership Initiative on Malnutrition (GLIM) criteria, albumin concentration) and muscle health markers (i.e., hand grip strength, computed tomography (CT)-based muscle mass and radiodensity) with 180-day all-cause mortality (primary outcome).

RESULTS

We included 269 patients with a main admission diagnosis of cancer and available CT scans. In a mutually adjusted model, four parameters contributed to risk assessment including modified malnutrition diagnosis (GLIM) (HR 1.78 (95%CI 1.17 to 2.69), p = 0.007, AUC 0.58), low albumin concentration (HR 1.58 (95%CI 1.08 to 2.31), p = 0.019, AUC 0.62), low handgrip strength (HR 2.05 (95%CI 1.43 to 2.93), p = 0.001, AUC 0.62) and low muscle radiodensity (HR 1.39 (95%CI 0.90 to 2.16), p = 0.139, AUC 0.63). Combining these parameters resulted in a model with high prognostic power regarding 180-day mortality (overall AUC 0.71).

CONCLUSIONS

In this study of inpatients with cancer at nutritional risk, several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality. The use of these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population.

TRIAL REGISTRATION

ClinicalTrials.gov, number NCT02517476.

The Association of the Essential Amino Acids Lysine, Methionine, and Threonine with Clinical Outcomes in Patients at Nutritional Risk: Secondary Analysis of a Randomized Clinical Trial

Lysine, methionine, and threonine are essential amino acids with vital functions for muscle and connective tissue health, metabolic balance, and the immune system. During illness, the demand for these amino acids typically increases, which puts patients at risk for deficiencies with harmful clinical consequences. In a secondary analysis of the Effect of Early Nutritional Support on Frailty, Functional Outcomes, and Recovery of Malnourished Medical Inpatients Trial (EFFORT), which compared individualized nutritional support to usual care nutrition in patients at nutritional risk, we investigated the prognostic impact of the lysine, methionine, and threonine metabolism. We had complete clinical and amino acid data in 237 patients, 58 of whom reached the primary endpoint of death at 30 days. In a model adjusted for comorbidities, sex, nutritional risk, and trial intervention, low plasma methionine levels were associated with 30-day mortality (adjusted HR 1.98 [95% CI 1.16 to 3.36], p = 0.01) and with a decline in functional status (adjusted OR 2.06 [95% CI 1.06 to 4.01], p = 0.03). The results for lysine and threonine did not show statistically significant differences regarding clinical outcomes. These findings suggest that low levels of methionine may be critical during hospitalization among patients at nutritional risk. Further studies should investigate the effect of supplementation of methionine in this patient group to improve outcomes.

Albumin-dNLR score could be an etiological criterion to determine inflammation burden for GLIM in medical inpatients over 70 years old: A multicenter retrospective study

Aim

To validate the role of the albumin-derived neutrophil-to-lymphocyte (ALB-dNLR) score in diagnosing malnutrition in medical inpatients over 70 years old.

Methods

This is a retrospective cross-sectional study involving 7 departments from 14 Chinese hospitals. The ALB-dNLR score was calculated, and outcomes between groups with positive and negative ALB-dNLR scores were compared after propensity score matching (PSM). Afterwards, the outcomes were compared between the groups receiving nutrition support and those not receiving support among malnourished patients diagnosed using the Global Leadership Initiative Malnutrition (GLIM) criteria after PSM.

Results

Out of 10,184 cases, 6165 were eligible. 2200 cases were in the positive ALB-dNLR score group. After PSM, 1458 pairs were analyzed, showing lower in-hospital mortality (0.8 % vs. 2.1 %, p = 0.005) and a lower nosocomial infection rate (5.9 % vs. 11.0 %, p < 0.001) in the negative ALB-dNLR score group. In malnourished patients, 259 pairs were analyzed after PSM. It showed better outcomes in mortality (0.8 % vs. 3.5 %, p = 0.033), nosocomial infection rate (5.4 % vs. 15.4 %, p < 0.001), length of stay (LOS) (13.8 ± 10.3 vs. 18.4 ± 14.1, p < 0.001), and total hospital cost (3315.3 ± 2946.4 vs. 4795.3 ± 4198.2, p < 0.001) in the support group. In malnourished patients with ALB-dNLR score as the sole etiological criterion, 94 pairs were calculated. It showed better outcomes in mortality (0.0 % vs. 6.4 %, p = 0.029), nosocomial infection rate (7.4 % vs. 18.1 %, p = 0.029), LOS (13.7 ± 8.3 vs. 19.8 ± 15.2, p = 0.001), and total hospital cost (3379.3 ± 2955.6 vs. 4471.2 ± 4782.4, p = 0.029) in the support group.

Conclusions

The ALB-dNLR score was validated to predict in-hospital mortality in medical inpatients over 70 years old. Malnutrition patients diagnosed by the GLIM criteria and using the ALB-dNLR score might benefit from nutrition support.

The predictive value of GLIM criteria on clinical outcomes and responses to nutritional support in patients with neurocritical illnesses

Neurocritically ill patients frequently exhibit coma, gastroparesis, and intense catabolism, leading to an increased risk of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria for the diagnosis of malnutrition was created to achieve a consistent malnutrition diagnosis across diverse populations. This study aimed to validate the concurrent and predictive validity of GLIM criteria in patients with neurocritical illnesses. A total of 135 participants were followed from admission to the neurocritical unit (NCU) until discharge. Comparing GLIM criteria to the Subjective Global Assessment (SGA), sensitivity was 0.95 and specificity was 0.69. Predictive validity of GLIM criteria was assessed using a composite adverse clinical outcome, comprising mortality and various major complications. Adjusted hazard ratios for moderate and severe malnutrition were 2.86 (95% CI 1.45-5.67) and 3.88 (95% CI 1.51-9.94), respectively. Changes in indicators of nutritional status, including skeletal muscle mass and abdominal fat mass, within 7 days of admission were obtained for 61 participants to validate the predictive capability of the GLIM criteria for the patients' response of standardized nutritional support. The GLIM criteria have a statistically significant predictive validity on changes in rectus femoris muscle thickness and midarm muscle circumference. In conclusion, the GLIM criteria demonstrate high sensitivity for diagnosing malnutrition in neurocritically ill patients and exhibit good predictive validity.

Performance of anthropometry-based and bio-electrical impedance-based muscle-mass indicators in the Global Leadership Initiative on Malnutrition criteria for predicting prognosis in patients with cancer

BACKGROUND

Reduced muscle mass is a criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria; however, the choice of muscle-mass indicators within the GLIM criteria remains contentious. This study aimed to establish muscle-measurement-based GLIM criteria using data from bio-electrical impedance analysis (BIA) and anthropometric evaluations and evaluate their ability to predict overall survival (OS), short-term outcomes, and healthcare burden in patients with cancer.

METHODS

This was a multicenter, prospective study that commenced in 2013 and enrolled participants from various clinical centers across China. We constructed GLIM criteria based on various muscle measurements, including fat-free mass index (FFMI), skeletal muscle index (SMI), calf circumference (CC), midarm circumference (MAC), midarm muscle circumference (MAMC), and midarm muscle area (MAMA). Survival was estimated using the Kaplan-Meier method and survival curves were compared using the log-rank test. Cox proportional hazards regression was used to assess the independent association between the GLIM criteria and OS. The discriminatory performance of different muscle-measurement-based GLIM criteria for mortality was evaluated using Harrell's concordance index (C-index). Logistic regression was used to evaluate the association of the GLIM criteria with short-term outcomes and healthcare burden.

RESULTS

A total of 4769 patients were included in the analysis, of whom 1659 (34.8%) died during the study period. The Kaplan-Meier curves demonstrated that all muscle-measurement-based GLIM criteria significantly predicted survival in patients with cancer (all p < 0.001). The survival rate of malnourished patients was approximately 10% lower than that of non-malnourished patients. Cox proportional hazards regression showed that all the muscle-measurement-based GLIM could independently predict the OS of patients (all p < 0.001). The prognostic discrimination was as follows: MAMC (Chi-square: 79.61) > MAMA (Chi-square: 79.10) > MAC (Chi-square: 64.09) > FFMI (Chi-square: 62.33) > CC (Chi-square: 58.62) > ASMI (Chi-square: 57.29). In comparison to the FFMI-based GLIM criteria, the ASMI-based criteria (-0.002, 95% CI: -0.006 to 0.002, p = 0.334) and CC-based criteria (-0.003, 95% CI: -0.007 to 0.002, p = 0.227) did not exhibit a significant advantage. However, the MAC-based criteria (0.001, 95% CI: -0.003 to 0.004, p = 0.776), MAMA-based criteria (0.004, 95% CI: 0.000-0.007, p = 0.035), and MAMC-based criteria (0.005, 95% CI: 0.000-0.007, p = 0.030) outperformed the FFMI-based GLIM criteria. Logistic regression showed that muscle measurement-based GLIM criteria predicted short-term outcomes and length of hospital stay in patients with cancer.

CONCLUSION

All muscle measurement-based GLIM criteria can effectively predict OS, short-term outcomes, and healthcare burden in patients with cancer. Anthropometric measurement-based GLIM criteria have potential for clinical application as an alternative to BIA-based measurement.

Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM)

(1) Background: The aim was to validate an AI-based system compared to the classic method of reading ultrasound images of the rectus femur (RF) muscle in a real cohort of patients with disease-related malnutrition. (2) Methods: One hundred adult patients with DRM aged 18 to 85 years were enrolled. The risk of DRM was assessed by the Global Leadership Initiative on Malnutrition (GLIM). The variation, reproducibility, and reliability of measurements for the RF subcutaneous fat thickness (SFT), muscle thickness (MT), and cross-sectional area (CSA), were measured conventionally with the incorporated tools of a portable ultrasound imaging device (method A) and compared with the automated quantification of the ultrasound imaging system (method B). (3) Results: Measurements obtained using method A (i.e., conventionally) and method B (i.e., raw images analyzed by AI), showed similar values with no significant differences in absolute values and coefficients of variation, 58.39-57.68% for SFT, 30.50-28.36% for MT, and 36.50-36.91% for CSA, respectively. The Intraclass Correlation Coefficient (ICC) for reliability and consistency analysis between methods A and B showed correlations of 0.912 and 95% CI [0.872-0.940] for SFT, 0.960 and 95% CI [0.941-0.973] for MT, and 0.995 and 95% CI [0.993-0.997] for CSA; the Bland-Altman Analysis shows that the spread of points is quite uniform around the bias lines with no evidence of strong bias for any variable. (4) Conclusions: The study demonstrated the consistency and reliability of this new automatic system based on machine learning and AI for the quantification of ultrasound imaging of the muscle architecture parameters of the rectus femoris muscle compared with the conventional method of measurement.

The Association Between Malnutrition and High Protein Treatment on Outcomes in Critically Ill Patients: A Post Hoc Analysis of the EFFORT Protein Randomized Trial

BACKGROUND

Preexisting malnutrition in critically ill patients is associated with adverse clinical outcomes. Malnutrition can be diagnosed with the Global Leadership Initiative on Malnutrition using parameters such as weight loss, muscle wasting, and BMI. International critical care nutrition guidelines recommend high protein treatment to improve clinical outcomes in critically ill patients diagnosed with preexisting malnutrition. However, this recommendation is based on expert opinion.

RESEARCH QUESTION

In critically ill patients, what is the association between preexisting malnutrition and time to discharge alive (TTDA), and does high protein treatment modify this association?

STUDY DESIGN AND METHODS

This multicenter randomized controlled trial involving 16 countries was designed to investigate the effects of high vs usual protein treatment in 1,301 critically ill patients. The primary outcome was TTDA. Multivariable regression was used to identify if preexisting malnutrition was associated with TTDA and if protein delivery modified their association.

RESULTS

The prevalence of preexisting malnutrition was 43.8%, and the cumulative incidence of live hospital discharge by day 60 was 41.2% vs 52.9% in the groups with and without preexisting malnutrition, respectively. The average protein delivery in the high vs usual treatment groups was 1.6 g/kg per day vs 0.9 g/kg per day. Preexisting malnutrition was independently associated with slower TTDA (adjusted hazard ratio, 0.81; 95% CI, 0.67-0.98). However, high protein treatment in patients with and without preexisting malnutrition was not associated with TTDA (adjusted hazard ratios of 0.84 [95% CI, 0.63-1.11] and 0.97 [95% CI, 0.77-1.21]). Furthermore, no effect modification was observed (ratio of adjusted hazard ratio, 0.84; 95% CI, 0.58-1.20).

INTERPRETATION

Malnutrition was associated with slower TTDA, but high protein treatment did not modify the association. These findings challenge current international critical care nutrition guidelines.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov; No.: NCT03160547; URL: www.

CLINICALTRIALS

gov.

Prevalence of Malnutrition in a Group of Institutionalized Psychogeriatric Patients Using Different Diagnostic Criteria

Malnutrition (MN) is a highly prevalent condition in the elderly. It is associated with functional impairment, disability, frailty, and sarcopenia. The aim was to analyze the capacity of GLIM and ESPEN criteria to diagnose MN in a sample of institutionalized psychogeriatric patients. Clinical and anthropometric data were collected in a cross-sectional study. Patients' frailty, dependence, functional capacity, MNA, hand-grip strength (HS), and sarcopenia were evaluated. Body composition (BC) was estimated by conventional bioimpedance analysis. MN diagnosis was established using the ESPEN and the GLIM criteria based on fat-free mass index (GLIM-FFMI), appendicular skeletal muscle mass index (GLIM-ASMMI), skeletal muscle mass index (GLIM-SMMI), and HS (mGLIM). Ninety-two patients (57.6% men; mean age: 79.4 years) were studied. Depending on the diagnosis criteria, MN prevalence was between 25% (ESPEN) and 41.3% (GLIM-SMMI). Agreement between ESPEN and all GLIM criteria was poor, but it was excellent between all GLIM criteria (kappa > 0.8). Phenotypic criteria carried more weight in the diagnosis of MN than etiological ones. Depending on the parameter used, the prevalence of reduced muscle mass was notably different. Differences in BMI, BC, inflammation, and albumin are detected by the GLIM-FFMI criteria in the MN and non-MN subjects. Also, this criterion is the only one that identified differences in phase angle (PhA) between these groups. In the elderly, PhA can be very useful to monitor nutritional status.

Malnutrition as a prognostic factor for 2-year mortality in hospitalized patients in Norway: A matched cohort study

BACKGROUND

Risk of malnutrition and malnutrition have been previously associated with increased risk of mortality. It remains unclear, however, whether the severity of malnutrition differentiates in association with all-cause mortality. The aim was to assess the association between being at risk of malnutrition or being diagnosed with malnutrition according to the diagnostic assessment of the Global Leadership Initiative on Malnutrition (GLIM) with all-cause mortality during a 2-year follow-up in hospitalized patients.

METHODS

A matched cohort study was conducted in hospitalized patients (excluding cancer, intensive care, and transmissible infections) at a university hospital in Bergen, Norway. All patients underwent nutrition screening with the Nutritional Risk Screening 2002 and a further nutrition assessment using the GLIM criteria. All-cause mortality was estimated from the Norwegian death registry after 2 years, and risk factors were calculated by Cox regression analysis.

RESULTS

Among 326 patients included, 55 patients died within 2 years (17% mortality rate). Risk of malnutrition was associated with increased all-cause mortality, which disappeared after adjustment for age and sex. Malnutrition was associated with an increased risk of all-cause mortality at 2 years also after adjustment for age and sex and, additionally, for further comorbidities (hazard ratio = 2.50; 95% CI, 1.41-4.42). When analyzed separately only severe malnutrition was associated with mortality (hazard ratio = 2.73; 95% CI, 1.44-5.15).

CONCLUSION

The findings highlight a strong association between inpatients with severe malnutrition, defined by the GLIM criteria, and an increased risk of all-cause mortality within a 2-year follow-up.

Malnutrition prevalence according to GLIM and its feasibility in geriatric patients: a prospective cross-sectional study

PURPOSE

In 2019, the Global Leadership Initiative on Malnutrition (GLIM) suggested a 2-step diagnostic format for malnutrition including screening and diagnosis. Prospective validation and feasibility studies, using the complete set of the five GLIM criteria, are needed. The aims of this study were to determine the prevalence of malnutrition, and investigate how the prevalence varied with mode of screening. Furthermore, we assessed the feasibility of GLIM in geriatric patients.

METHODS

Consecutive patients from two acute geriatric wards were included. For screening risk of malnutrition, the Mini Nutritional Assessment-Short Form (MNA-SF) or Malnutrition Screening Tool (MST) were used. In accordance with GLIM, a combination of phenotypic and etiologic criteria were required for the diagnosis of malnutrition. Feasibility was determined based on % data completeness, and above 80% completeness was considered feasible.

RESULTS

One hundred patients (mean age 82 years, 58% women) were included. After screening with MNA-SF malnutrition was confirmed by GLIM in 51%, as compared with 35% after screening with MST (p = 0.039). Corresponding prevalence was 58% with no prior screening. Using hand grip strength as a supportive measure for reduced muscle mass, 69% of the patients were malnourished. Feasibility varied between 70 and 100% for the different GLIM criteria, with calf circumference as a proxy for reduced muscle mass having the lowest feasibility.

CONCLUSION

In acute geriatric patients, the prevalence of malnutrition according to GLIM varied depending on the screening tool used. In this setting, GLIM appears feasible, besides for the criterion of reduced muscle mass.

Defining malnutrition in persons with spinal cord injury - does the Global Criteria for Malnutrition work?

Background and aims

Physiologic and metabolic changes following spinal cord injury (SCI) lead to an increased risk of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) is a three-step approach to diagnose malnutrition: 1) screening; 2) phenotypic and etiological criteria; and 3) malnutrition severity. The main aim of this study was to assess malnutrition in patients with SCI, according to the GLIM criteria.

Methods

Patients with SCI (≥ 18 years) admitted to rehabilitation were included. Anthropometrics, food intake, and inflammation were assessed on admission. Fat-free mass index (FFMI) was estimated from bioimpedance analysis. Malnutrition was diagnosed by the GLIM criteria, using the Malnutrition Universal Screening Tool (MUST) as the first step screening tool. Sensitivity and specificity analyses were performed.

Results

In total, 66 patients were assessed (50 men) with a mean age of 51.4 (± 17.4) years and median time since injury was 37.5 (10-450) days. The mean body mass index was 24.7 (± 4.2) kg/m2, and 1-month involuntary weight loss was 5.7 (± 4.4)%. FFMI for men was 17.3 (± 1.9) and for women 15.3 (± 1.6) kg/m2. Forty-one patients (62%) were malnourished according to the GLIM criteria: 27 moderately and 14 severely malnourished. MUST was not able to detect malnutrition risk of nine patients, giving a moderate agreement (kappa 0.66), with a sensitivity of 0.78 and a specificity of 0.92 compared to the GLIM diagnosis.

Conclusions

In this cross-sectional study, 62% of subacute SCI patients were malnourished according to the GLIM criteria. The screening tool MUST showed moderate agreement with the GLIM criteria and did not detect risk of all patients with a malnutrition diagnosis. The clinical implications of these findings need further investigation.

Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol

BACKGROUND

Patients with acute abdomen often experience reduced voluntary intake and a hypermetabolic process, leading to a high occurrence of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological tool for nutritional diagnosis. Additionally, machine learning is emerging to establish artificial intelligent-enabled diagnostic models, but the accuracy and robustness need to be verified. We aimed to establish an intelligence-enabled malnutrition diagnosis model based on GLIM for patients with acute abdomen.

METHOD

This study is a single-centre, cross-sectional observational investigation into the prevalence of malnutrition in patients with acute abdomen using the GLIM criteria. Data collection occurs on the day of admission, at 3 and 7 days post-admission, including biochemical analysis, body composition indicators, disease severity scoring, nutritional risk screening, malnutrition diagnosis and nutritional support information. The occurrence rate of malnutrition in patients with acute abdomen is analysed with the GLIM criteria based on the Nutritional Risk Screening 2002 and the Mini Nutritional Assessment Short-Form to investigate the sensitivity and accuracy of the GLIM criteria. After data cleansing and preprocessing, a machine learning approach is employed to establish a predictive model for malnutrition diagnosis in patients with acute abdomen based on the GLIM criteria.

ETHICS AND DISSEMINATION

This study has obtained ethical approval from the Ethics Committee of the Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital on 28 November 2022 (Yan-2022-442). The results of this study will be disseminated in peer-reviewed journals, at scientific conferences and directly to study participants.

TRIAL REGISTRATION NUMBER

ChiCTR2200067044.

Prognostic implications of the arginine metabolism in patients at nutritional risk: A secondary analysis of the randomized EFFORT trial

BACKGROUND

Arginine, a conditionally essential amino acid, is key component in metabolic pathways including immune regulation and protein synthesis. Depletion of arginine contributes to worse outcomes in severely ill and surgical patient populations. We assessed prognostic implications of arginine levels and its metabolites and ratios in polymorbid medical inpatients at nutritional risk regarding clinical outcomes and treatment response.

METHODS

Within this secondary analysis of the randomized controlled Effect of early nutritional support on Frailty, Functional Outcomes, and Recovery of malnourished medical inpatients Trial (EFFORT), we investigated the association of arginine, its metabolites and ratios (i.e., ADMA and SDMA, ratios of arginine/ADMA, arginine/ornithine, and global arginine bioavailability ratio) measured on hospital admission with short-term and long-term mortality by means of regression analysis.

RESULTS

Among the 231 patients with available measurements, low arginine levels ≤90.05 μmol/l (n = 86; 37 %) were associated with higher all-cause mortality at 30 days (primary endpoint, adjusted HR 3.27, 95 % CI 1.86 to 5.75, p < 0.001) and at 5 years (adjusted HR 1.50, 95 % CI 1.07 to 2.12, p = 0.020). Arginine metabolites and ratios were also associated with adverse outcome, but had lower prognostic value. There was, however, no evidence that treatment response was influenced by admission arginine levels.

CONCLUSION

This secondary analysis focusing on medical inpatients at nutritional risk confirms a strong association of low plasma arginine levels and worse clinical courses. The potential effects of arginine-enriched nutritional supplements should be investigated in this population of patients.

CLINICAL TRIAL REGISTRATION

clinicaltrials.gov as NCT02517476 (registered 7 August 2015).

Predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators to diagnose malnutrition tool in hospitalized adults: a cohort study

BACKGROUND

The lack of a widely accepted, broadly validated tool for diagnosing malnutrition in hospitalized patients limits the ability to assess the integral role of nutrition as an input and outcome of health, disease, and treatment.

OBJECTIVES

This study aimed to evaluate the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition (ASPEN) indicators to diagnose malnutrition (AAIM) tool and determine if it can be simplified.

METHODS

A prospective cohort study was conducted from August 2019 to September 2022 with 32 hospitals in United States. At baseline, 290 adult patients were evaluated for a diagnosis of malnutrition using the AAIM tool, which assesses weight loss, inadequate energy intake, subcutaneous fat and muscle loss, edema, and hand grip strength. Healthcare outcomes were extracted from the medical record: composite incidence of emergency department (ED) visits and hospital readmissions within 90 d postdischarge; length of hospital stay (LOS); and Medicare Severity Disease Related Group (MS-DRG) relative weight (i.e., healthcare resource utilization). We used multilevel, multivariable negative binomial or generalized linear regression models to evaluate relationships between malnutrition diagnosis and healthcare outcomes.

RESULTS

After adjusting for disease severity and acuity and sociodemographic characteristics, individuals diagnosed with severe malnutrition had a higher incidence rate of ED visits and hospital readmissions (incidence rate ratio: 1.89; 95% CI: 1.14, 3.13; P = 0.01), and individuals diagnosed with moderate malnutrition had a 25.2% longer LOS (95% CI: 2.0%, 53.7%; P = 0.03) and 15.1% greater healthcare resource utilization (95% CI: 1.6%, 31.9%; P = 0.03) compared with individuals with no malnutrition diagnosis. Observed relationships remained consistent when only considering malnutrition diagnoses supported by at least 2 of these indicators: weight loss, subcutaneous fat loss, muscle wasting, and inadequate energy intake.

CONCLUSIONS

Findings from this multihospital study confirm the predictive validity of the original or simplified AAIM tool and support its routine use for hospitalized adult patients. This trial was registered at clinicaltrials.gov as NCT03928548 (https://classic.

CLINICALTRIALS

gov/ct2/show/NCT03928548).

Adaptation of nutritional risk screening tools may better predict response to nutritional treatment: a secondary analysis of the randomized controlled trial Effect of early nutritional therapy on Frailty, Functional Outcomes, and Recovery of malnourished medical inpatients Trial (EFFORT)

BACKGROUND

Nutritional screening tools have proven valuable for predicting clinical outcomes but have failed to determine which patients would be most likely to benefit from nourishment interventions. The Nutritional Risk Screening 2002 (NRS) and the Mini Nutritional Assessment (MNA) are 2 of these tools, which are based on both nutritional parameters and parameters reflecting disease severity.

OBJECTIVES

We hypothesized that the adaptation of nutritional risk scores, by removing parameters reflecting disease severity, would improve their predictive value regarding response to a nutritional intervention while providing similar prognostic information regarding mortality at short and long terms.

METHODS

We reanalyzed data of 2028 patients included in the Swiss-wide multicenter, randomized controlled trial EFFORT (Effect of early nutritional therapy on Frailty, Functional Outcomes, and Recovery of malnourished medical inpatients Trial) comparing individualized nutritional support with usual care nutrition in medical inpatients. The primary endpoint was 30-d all-cause mortality.

RESULTS

Although stratifying patients by high compared with low NRS score showed no difference in response to nutritional support, patients with high adapted NRS showed substantial benefit, whereas patients with low adapted NRS showed no survival benefit [adjusted hazard ratio: 0.55 [95% confidence interval (CI): 0.37, 0.80]] compared with 1.17 (95% CI: 0.70, 1.93), a finding that was significant in an interaction analysis [coefficient: 0.48 (95% CI: 0.25, 0.94), P = 0.031]. A similar effect regarding treatment response was found when stratifying patients on the basis of MNA compared with the adapted MNA. Regarding the prognostic performance, both original scores were slightly superior in predicting mortality than the adapted scores.

CONCLUSIONS

Adapting the NRS and MNA by including nutritional parameters only improves their ability to predict response to a nutrition intervention, but slightly reduces their overall prognostic performance. Scores dependent on disease severity may best be considered prognostic scores, whereas nutritional risk scores not including parameters reflecting disease severity may indeed improve a more personalized treatment approach for nourishment interventions. The trial was registered at clinicaltrials.gov as NCT02517476.

A promising prognostic grading system incorporating weight loss and inflammation in patients with advanced cancer

BACKGROUND

Involuntary weight loss and increased systemic response are frequently observed in patients with cancer, especially in advanced stages. This study aimed to develop a powerful weight loss and inflammation grading system (WLAIGS) and investigate its prognostic performance in patients with advanced cancer.

METHODS

This multicentre prospective cohort study included 11 423 patients with advanced cancer. A 4 × 4 matrix representing four different per cent weight loss (WL%) categories within each of the four different neutrophil-to-lymphocyte ratio (NLR) categories (16 possible combinations of WL% and NLR) was constructed. The WLAIGS consisted of four grades, with hazard ratios (HRs) for overall survival (OS) gradually increasing from grade 1 to grade 4. Survival analyses, including Kaplan-Meier curve, Cox proportional hazards regression, and sensitivity analysis, were performed to investigate the association between WLAIGS and OS. The secondary outcomes were short-term survival, malnutrition, and quality of life. Two internal validation cohorts with a 7:3 ratio were used to validate the results.

RESULTS

The median age of patients with advanced cancer in our study was 59.00 (interquartile range, 50.00-66.00) years. There were 6877 (60.2%) and 4546 (39.8%) male and female participants, respectively. We totally recorded 5046 death cases during the median follow-up of 17.33 months. The Kaplan-Meier curve showed that the survival rate decreased from grade 1 to grade 4 in patients with advanced cancer (log-rank P < 0.001). The WLAIGS was an independent risk factor associated with OS adjusting for confounders, with HRs increasing from 1.20 (95% confidence interval (CI), 1.11-1.29; P < 0.001) in grade 2, 1.48 (95% CI, 1.38-1.60; P < 0.001) in grade 3 to 1.73 (95% CI, 1.58-1.89; P < 0.001) in grade 4. In each weight loss% group (2.5 ≤ WL% < 6.0; 6.0 ≤ WL% < 11.0, WL% ≥ 11.0), a NLR above 3 was associated with shorter survival and served as an independent prognostic predictor. The risk of short-term mortality, malnutrition, and poor quality of life increased with WLAIGS grade. Two internal validation cohorts confirmed that the WLAIGS independently identified the survival of patients with advanced cancer.

CONCLUSIONS

The WLAIGS, which reflects malnutrition and systemic inflammation status, is a robust and convenient tool for predicting the prognosis of patients with advanced cancer.

Predictive Strategies to Reduce the Risk of Rehospitalization with a Focus on Frail Older Adults: A Narrative Review

Frailty is a geriatric syndrome that has physical, cognitive, psychological, social, and environmental components and is characterized by a decrease in physiological reserves. Frailty is associated with several adverse health outcomes such as an increase in rehospitalization rates, falls, delirium, incontinence, dependency on daily living activities, morbidity, and mortality. Older adults may become frailer with each hospitalization; thus, it is beneficial to develop and implement preventive strategies. The present review aims to highlight the epidemiological importance of frailty in rehospitalization and to compile predictive strategies and related interventions to prevent hospitalizations. Firstly, it is important to identify pre-frail and frail older adults using an instrument with high validity and reliability, which can be a practically applicable screening tool. Comprehensive geriatric assessment-based care is an important strategy known to reduce morbidity, mortality, and rehospitalization in older adults and aims to meet the needs of frail patients with a multidisciplinary approach and intervention that includes physiological, psychological, and social domains. Moreover, effective multimorbidity management, physical activity, nutritional support, preventing cognitive frailty, avoiding polypharmacy and anticholinergic drug burden, immunization, social support, and reducing the caregiver burden are other recommended predictive strategies to prevent post-discharge rehospitalization in frail older adults.

Nutritional Ultrasonography, a Method to Evaluate Muscle Mass and Quality in Morphofunctional Assessment of Disease Related Malnutrition

Nutritional ultrasonography is an emerging technique for measuring muscle mass and quality. The study aimed to evaluate the relationship between the parameters of body mass and quality of ultrasonography with other parameters of morphofunctional assessment in patients with disease-related malnutrition (DRM).

METHODS

A cross-sectional study was developed on 144 patients diagnosed with DRM according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Morphofunctional evaluation was assessed with anthropometric variables, handgrip strength and bioelectrical impedanciometry (BIA). Nutritional ultrasonography of quadriceps rectus femoris (QRF) was made (muscle mass (Muscle Area of Rectus Femoris index (MARFI)), Y axis and muscle quality (X-Y index and echogenicity).

RESULTS

The mean age of patients was 61.4 (17.34) years. The prevalence of sarcopenia in the sample was 33.3%. Patients with sarcopenia (S) had lower values of MARFI [(S: 1.09 (0.39) cm2/m2; NoS: 1.27 (0.45); p = 0.02), Y axis (S: 0.88 (0.27); NoS: 1.19 (0.60); p < 0.01) and X-Y index (S: 1.52 (0.61); NoS: 1.30 (0.53); p < 0.01)]. There was a correlation between BIA parameters (phase angle) and muscle mass ultrasonographic variables (MARFI) (r = 0.35; p < 0.01); there was an inverse correlation between muscle quality ultrasonographic variables (echogenicity) and handgrip strength (r = -0.36; p < 0.01). In the multivariate analysis adjusted by age, the highest quartile of the X-Y index had more risk of death OR: 4.54 CI95% (1.11-18.47).

CONCLUSIONS

In patients with DRM and sarcopenia, standardized muscle mass and muscle quality parameters determined by ultrasonography of QRF are worse than in patients without sarcopenia. Muscle quality parameters had an inverse correlation with electric parameters from BIA and muscle strength. The highest quartile of the X-Y index determined by ultrasonography was associated with increased mortality risk.

The effect of post-discharge oral nutritional supplements on outcomes after gastrointestinal surgery: A systematic review and meta-analysis

BACKGROUND

Malnutrition is a risk-factor for adverse postoperative outcomes. This systematic review and meta-analysis evaluated the impact of post-discharge oral nutritional supplements (ONS) on outcomes in patients undergoing gastrointestinal surgery.

METHODS

The Medline and Embase databases were searched for randomised clinical trials in patients undergoing gastrointestinal surgery who had received ONS for at least two weeks after discharge from hospital. The primary endpoint was weight change. Secondary endpoints included quality of life, total lymphocyte count, total serum protein and serum albumin. Analysis was performed using RevMan5.4 software.

RESULTS

Fourteen studies with 2480 participants (1249 ONS/1231 controls) were included. Pooling of results revealed that a reduction in postoperative weight loss in patients taking ONS, when compared with control: overall weighted mean difference (WMD) -1.69 kg, 95% CI -2.98 to -0.41, P = 0.01. Serum albumin concentration was increased in the ONS group: WMD = 1.06 g/L, 95% CI 0.04 to 2.07, P = 0.04. Haemoglobin was also increased: WMD = 2.91 g/L, 95% CI 0.58 to 5.25, P = 0.01. Total serum protein, total lymphocyte count, total cholesterol and quality of life did not differ between the groups. Patient compliance was relatively poor across the studies and there was variability in the composition of ONS, volume consumed and surgical procedures performed.

CONCLUSIONS

There was a reduction in postoperative weight loss and an improvement in some biochemical parameters in patients receiving ONS after gastrointestinal surgery. Future RCTs with more consistent methodologies are needed to investigate the efficacy of ONS after discharge from hospital following gastrointestinal surgery.

Are nutritional sufficiency of ≥75% energy and protein requirements relevant targets in patients at nutritional risk? - A one month follow-up study

BACKGROUND & AIM

Nutrient intake in patients at nutritional risk was recorded with the aim of reaching at least 75% of estimated requirements for energy and protein. However, the cutoff at 75% has only been sparsely investigated. The aim of this study was to re-evaluate the 75% cutoff of estimated energy and protein requirements among patients at or not at nutritional risk in relation to 30-day mortality and readmissions.

METHODS

A 30-day follow-up study was performed among hospitalized patients in 31 units at a Danish University Hospital. Data was collected using the nurses' quartile nutrition registration method and electronic patient journals. All patients were screened using the NRS-2002 and classified as either at nutritional risk (NRS-2002, score ≥3) or not at nutritional risk (NRS-2002, score <3). Energy and protein requirements were estimated using weighted Harris-Benedict equation and 1.3 g/kg/day, respectively.

RESULTS

In total, 318 patients were included in this study. Patients at nutritional risk were older, lower BMI, male, more comorbidities and a longer primary length of stay compared to patients not at nutritional risk (p < 0.05). After 30-day follow-up, mortality was higher among patients at risk (9.5% vs. 2.0%, p < 0.05). Patients at nutritional risk showed increased risk of mortality if they did not achieve 75% of estimated requirements (energy: OR = 8.08 [1.78; 36.79]; protein: OR = 3.40 [0.74; 15:53]). Furthermore, predicted probability of mortality decreased with increased energy and protein intakes. No significant associations were found for readmissions achieving 75% of estimated energy or protein requirements. A cutoff of 76-81% for energy and 58-62% for protein was equivalent with accepting a 6-8% mortality rate.

CONCLUSION

The results of this study indicate that an energy intake ≥75% of estimated requirement among patients at nutritional risk has a preventative effect regarding mortality within one month, but not for readmissions.

Nutritional issues concerning general medical ward patients: feeding patients recovering from critical illness

PURPOSE OF REVIEW

ICU survivors often spend long periods of time in general wards following transfer from ICU in which they are still nutritionally compromised. This brief review will focus on the feeding of patients recovering from critical illness, as no formal recommendations or guidelines on nutrition management are available for this specific situation.

RECENT FINDINGS

While feeding should start in the ICU, it is important to continue and adapt nutritional plans on the ward to support individuals recovering from critical illness. This process is highly complex - suboptimal feeding may contribute significantly to higher morbidity and mortality, and seriously hinder recovery from illness. Recently, consensus diagnostic criteria for malnutrition have been defined and large-scale trials have advanced our understanding of the pathophysiological pathways underlying malnutrition. They have also helped further develop treatment algorithms. However, we must continue to identify specific clinical parameters and blood biomarkers to further personalize therapy for malnourished patients. Better understanding of such factors may help us adapt nutritional plans more efficiently.

SUMMARY

Adequate nutrition is a vigorous component of treatment in the post-ICU period and can enhance recovery and improve clinical outcome. To better personalize nutritional treatment because not every patient benefits from support in the same manner, it is important to further investigate biomarkers with a possible prognostic value.

Inflammation and Nutrition: Friend or Foe?

The importance of the interplay between inflammation and nutrition has generated much interest in recent times. Inflammation has been identified as a key driver for disease-related malnutrition, leading to anorexia, reduced food intake, muscle catabolism, and insulin resistance, which are stimulating a catabolic state. Interesting recent data suggest that inflammation also modulates the response to nutritional treatment. Studies have demonstrated that patients with high inflammation show no response to nutritional interventions, while patients with lower levels of inflammation do. This may explain the contradictory results of nutritional trials to date. Several studies of heterogeneous patient populations, or in the critically ill or advanced cancer patients, have not found significant benefits on clinical outcome. Vice versa, several dietary patterns and nutrients with pro- or anti-inflammatory properties have been identified, demonstrating that nutrition influences inflammation. Within this review, we summarize and discuss recent advances in both the role of inflammation in malnutrition and the effect of nutrition on inflammation.

Association of Thoracic Skeletal Muscle Index with Clinical Outcome and Response to Nutritional Interventions in Patients at Risk of Malnutrition-Secondary Analysis of a Randomized Trial

BACKGROUND

Measurement of skeletal muscle index (SMI) in computed tomography has been suggested to improve the objective assessment of muscle mass. While most studies have focused on lumbar vertebrae, we examine the association of SMI at the thoracic level with nutritional and clinical outcomes and response to nutritional intervention.

METHODS

We conducted a secondary analysis of EFFORT, a Swiss-wide, multicenter, randomized trial. We investigated the association of low SMI at the 12th thoracic vertebra (T12) with adverse outcome within 30 days after hospital admission (primary endpoint).

RESULTS

663 of 2028 patients from the EFFORT trial had available CT scans for T12, and 519 among them also had available L3 scans. Mean SMI at T12 was 22.4 ± 5.8 cm²/m² and 19.6 ± 5.5 cm²/m² in male and female patients, respectively, and correlated well with nutritional parameters, including nutritional risk based on NRS 2002 (adjusted coefficient -0.63, 95%CI -1.25 to -0.01, p = 0.047), BMI (adjusted coefficient 0.74, 95%CI 0.66 to 0.82, p < 0.001) and handgrip strength (adjusted coefficient 0.15, 95%CI 0.11 to 0.2, p < 0.001). In multivariate regression analyses, low SMI was not a significant predictor for either clinical outcome or for treatment response. Results for SMI measured at L3 were similar, with only little prognostic value.

CONCLUSIONS

Within medical patients at risk for malnutrition, SMI at thoracic vertebra provided low prognostic information regarding clinical outcomes and nutritional treatment response.

Nutrition issues in the general medical ward patient: From general screening to specific diagnosis and individualized treatment

Disease-related malnutrition in patients in the general medical ward remains a complex syndrome, which contributes to high morbidity and mortality, and seriously interferes with recovery from acute illness. Recently, there have been important advances in the development of consensus diagnostic criteria for malnutrition, and through the recent completion of large-scale trials, the understanding of pathophysiological pathways and evidence-based treatment algorithms to provide nutrition care to patients at risk for malnutrition in the hospital setting has advanced. There is need to identify more specific clinical parameters and blood biomarkers, which allow a more personalized approach to the malnourished patients, because not all patients show the same response to nutrition interventions. Recent studies have suggested that some nutrition biomarkers of inflammation, kidney function and muscle health, among others, predict treatment response to nutrition interventions and may help to personalize treatments. In addition to advancing the science, there is need for more education of students and treating teams in the hospital to improve the screening of patients at hospital admission regarding nutrition risk with the start of individualized nutrition support interventions, thereby bringing optimal nutrition care to the bedside.

Validity and feasibility of the global leadership initiative on malnutrition diagnostic concept in older people: a literature review from August 2021 to August 2022

PURPOSE OF REVIEW

Early 2019, the Global Leadership Initiative on Malnutrition (GLIM) concept offered a clinically applicable and objective procedure for diagnosing malnutrition. This review summarizes 40 publications from August 2021 to August 2022 that applied the GLIM criteria in older populations from various clinical settings for criterion and predictive validation.

RECENT FINDINGS

Criterion validity studies, by comparing the GLIM construct with various semi-gold standards such as SGA, PG-SGA, MNA-FF/SF and ESPEN criteria, indicate by sensitivity, specificity and agreement that GLIM performs at least as well as the other tools to capture malnutrition. One meta-analysis of 20 studies with various comparators reports high accuracy for distinguishing malnutrition. GLIM-malnutrition prevalence figures vary with screening tool. Predictive validity of GLIM for mortality, and other outcomes, is good in all settings reported. Sarcopenia and GLIM show some expected overlapping.

SUMMARY

In populations more than 60 years old, the GLIM construct appears to have well acceptable criterion validity as well as predictive validity. The continuous implementation of the GLIM concept is justified.

Disease-Related Malnutrition and Enteral Nutrition

There are many misconceptions surrounding the diagnosing and treatment of malnutrition and around feeding people with enteral nutrition (EN). Often the decisions made by clinicians are made from anecdote or guidelines that may be out of date or supported by low-quality evidence. In this article, we will discuss different aspects of diagnosing malnutrition and delve deeper into the science and evidence behind certain recommendations. Our goal is to better equip the reader with the most current data-supported recommendation, such as indications, contraindications, complications of EN, tube and ostomy complications, types and use of specialized enteral formulas, and home management.

Unresolved issues in perioperative nutrition: A narrative review

Surgical patients are at an increased risk of negative outcomes if they are malnourished or at risk of malnutrition preoperatively. Optimisation of nutritional status should be a focus throughout the perioperative continuum to promote improved surgical outcomes. Enhanced Recovery after Surgery (ERAS) protocols are increasingly applied in the surgical setting but are not yet widespread. This narrative review focused on areas of perioperative nutrition that are perceived as controversial or are lacking in agreement. A search for available literature was conducted on 1 March 2022 and relevant high-quality articles published since 2015 were considered for inclusion. Most malnutrition screening tools are not specific to the surgical population except for the Perioperative Nutrition Screen (PONS) although more large-scale initiatives are needed to improve the prevalence of preoperative nutrition screening. Poor muscle health is common in patients with malnutrition and further exacerbates negative health outcomes indicating that prevention, detection and treatment is of high importance in this population. Although a lack of consensus remains for who should receive preoperative nutritional therapy, evidence suggests a positive impact on muscle health. Additionally, postoperative nutritional support benefits surgical outcomes, with some patients requiring enteral and/or parenteral feeding routes and showing benefit from immunonutrition. The importance of nutrition extends beyond the time in hospital and should remain a priority post-discharge. The impact of individual or personalised nutrition based on select patient characteristics remains to be further investigated. Overall, the importance of perioperative nutrition is evident in the literature despite select ongoing areas of contention.