Different combinations of the GLIM criteria for patients awaiting a liver transplant: Poor performance for malnutrition diagnosis but a potentially useful prognostic tool

Screening and assessment of malnutrition in patients with liver cirrhosis

The development and advancement of malnutrition is associated not only with the progression of hepatic dysfunction, but also with cirrhosis-related complications. However, the prevalence of malnutrition reported in different studies varies widely due to differences in diagnostic methods and patient investigation settings. Therefore, we need to identify malnourished patients promptly and accurately. The purpose of this review was to compare the validity and reliability of nutritional screening tools and to select the most appropriate nutritional risk screening for patients with cirrhosis. We compared nutritional risk screening tools such as the Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) and Liver Disease Undernutrition Screening Tool (LDUST). Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) is more feasible to screen cirrhotic patients for nutritional risk, and is highly reproducible, considering the impact of sodium and water retention; so it is practical to screen cirrhotic patients via RFH-NPT for nutritional risk, subsequently, to evaluate the nutritional status of patients with nutritional risk via the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria. L3-SMI (third lumbar-skeletal muscle index) can accurately define sarcopenia in cirrhotic patients and also be used for clinical nutritional status assessment.

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.

Comparison of the Global Leadership Initiative on Malnutrition and the Patient-Generated Subjective Global Assessment for diagnosing malnutrition in patients undergoing surgery for hepatobiliary and pancreatic malignancies

OBJECTIVE

to analyse the differences in malnutrition assessment between the Global Leadership Initiative on Malnutrition (GLIM) criteria and the Patient-Generated Subjective Global Assessment (PG-SGA) among patients with hepatobiliary and pancreatic malignancies.

METHOD

this study was a cross-sectional study and included 126 hospitalised patients who underwent surgery for hepatobiliary and pancreatic malignancies between November 1, 2019 and August 1, 2020. The patients' clinical data were collected, and malnutrition assessments were completed using the different nutritional assessment tools. The consistency of both tools was analysed using Cohen's kappa coefficient.

RESULTS

the prevalence of malnutrition showed a difference in diagnosis results between the GLIM criteria (36.51 %) and the PG-SGA (55.56 %). The two methods had moderate consistency (kappa = 0.590, p < 0.01). The sensitivity of a malnutrition diagnosis using a combination of GLIM and PG-SGA was 65.7 % (53.3 % and 76.4 %, respectively), and specificity was 100 % (92 % and 100 %, respectively). When malnutrition was evaluated using only PG-SGA, sensitivity was 88.9 % (95 % confidence interval (CI) 63.9 % to 98.1 %), whereas when only the GLIM score was used for malnutrition evaluation, sensitivity was 98.2 % (95 % CI, 92.8 % to 99.7 %). In addition, the PG-SGA score and the GLIM score had significant correlations.

CONCLUSION

GLIM performed better than PG-SGA in the correlation analysis of nutritional indicators. GLIM is more suitable for patients with hepatobiliary and pancreatic malignancies than PG-SGA.

Effectiveness of Global Leadership Initiative on Malnutrition and Subjective Global Assessment for diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers

Malnutrition significantly hampers wound healing processes. This study aimed to compare the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) and Subjective Global Assessment (SGA) in diagnosing malnutrition and predicting wound healing in patients with diabetic foot ulcers (DFU). GLIM criteria were evaluated for sensitivity (SE), specificity (SP), positive predictive value, negative predictive value and kappa (κ) against SGA as the reference. Modified Poisson regression model and the DeLong test investigated the association between malnutrition and non-healing ulcers over 6 months. This retrospective cohort study included 398 patients with DFU, with a mean age of 66·3 ± 11·9 years. According to SGA and GLIM criteria, malnutrition rates were 50·8 % and 42·7 %, respectively. GLIM criteria showed a SE of 67·3 % (95 % CI 60·4 %, 73·7 %) and SP of 82·7 % (95 % CI 76·6 %, 87·7 %) in identifying malnutrition, with a positive predictive value of 80·0 % and a negative predictive value of 71·1 % (κ = 0·50) compared with SGA. Multivariate analysis demonstrated that malnutrition, as assessed by SGA, was an independent risk factor for non-healing (relative risk (RR) 1·84, 95 % CI 1·45, 2·34), whereas GLIM criteria were associated with poorer ulcer healing in patients with estimated glomerular filtration rate ≥ 60 ml/min/1·73m2 (RR: 1·46, 95 % CI 1·10, 1·94). SGA demonstrated a superior area under the receiver's operating characteristic curve for predicting non-healing compared with GLIM criteria (0·70 (0·65-0·75) v. 0·63 (0·58-0·65), P < 0·01). These findings suggest that both nutritional assessment tools effectively identify patients with DFU at increased risk, with SGA showing superior performance in predicting non-healing ulcers.

Assessing nutrition status, sarcopenia, and frailty in adult transplant recipients

The assessment of nutrition status, sarcopenia, and frailty holds significant relevance in the context of adult transplantation, as these factors are associated with an unfavorable prognosis; thus, transplant candidates must undergo a full nutrition assessment. Screening tools may be used to prioritize patients, this can be done using the Nutrition Risk Screening 2002 or Royal Free Hospital-Nutritional Prioritizing Tool. Subsequently, a thorough nutrition-focused physical examination should be conducted to evaluate clinical signs of nutrition deficiencies, fat and muscle loss, and fluid overload; dietary history and current intake must also be assessed. Apart from physical examination, specific testing for sarcopenia and frailty are recommended. For sarcopenia assessment, specifically for muscle quantification, the gold standard is the cross-sectional measurement of the muscle at L3 obtained from a computed tomography scan or magnetic resonance imaging; dual-energy x-ray absorptiometry is also a good tool especially when appendicular skeletal muscle index is calculated. Other more readily available options include phase angle from bioelectrical impedance or bioimpedance spectroscopy. In the sarcopenia assessment, muscle function evaluation is required, handgrip strength stands as the primary test for this purpose; this test is also part of the subjective global assessment and is included in some frailty scores. Finally, for frailty assessment, the Short Physical Performance Battery is useful for evaluating physical frailty, and for a multidimensional evaluation, the Fried frailty phenotype can be used. Specifically for liver transplant candidates, the use of Liver Frailty Index is recommended.

Application of Global Leadership Initiative on Malnutrition criteria in patients with liver cirrhosis

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients.

METHODS

This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes.

RESULTS

The optimal cut-off values of L3-SMI were 39.50 cm 2 /m 2 for male patients and 33.06 cm 2 /m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P  = 0.012).

CONCLUSIONS

This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.

Validation of the Global Leadership Initiative on Malnutrition criteria for diagnosis of malnutrition and mortality prediction for people living with HIV or AIDS

OBJECTIVES

To validate the Global Leadership Initiative on Malnutrition (GLIM) criteria to diagnose malnutrition in hospitalized people living with HIV or AIDS (HA) considering different combinations, using the Subjective Global Assessment (SGA) as the semi-gold standard, and to assess the predictive effects of malnutrition according to the GLIM criteria on hospital length of stay and mortality.

METHODS

Retrospective observational study including hospitalized people living with HA aged >18 y. Forty GLIM combinations were obtained by combining the different phenotypic and etiologic criteria. The concurrent validity was assessed according to the sensitivity and specificity values, and the agreement with the SGA was tested using κ values. Multivariate logistic and Cox regression models were used to test the independent predictors for longer length of stay (LOS) and mortality, respectively.

RESULTS

The sample comprised 320 patients (mean age, 44.6 ± 12.1 y; 69.1% were men, and 68.4% were malnourished, according to the SGA). The prevalence of malnutrition, according to GLIM, varied from 10.3% to 69.1%. The combination of any phenotypic criteria with the etiologic criteria of low food intake and the combination of any phenotypic criteria with the etiologic criteria of disease severity were independent predictors for mortality (Hazard Ratio: 2.09 [95% CI, 1.15-3.77] and 2.09 [95% CI, 1.25-3.51], respectively). The combination of low body mass index and reduced absorption was independently associated with LOS higher than the median value (Oodds Ratio; 2.57; 95% CI, 1.21-5.45).

CONCLUSIONS

Nine GLIM combinations had satisfactory sensitivity and specificity values to determine concurrent validity, all of them including weight loss and low weight; two combinations were independent predictors of mortality (any phenotypic criteria and low food intake or opportunistic infections), and one combination predicted longer LOS. Combining any phenotypic criteria with low food intake resulted in adequate concurrent and predictive validity.

Handgrip strength is a substitutive metric to the GLIM criteria-defined malnutrition and predicts long-term mortality among hospitalized patients with cirrhosis

BACKGROUND

Hospitalized patients with cirrhosis are prone to debilitating health conditions and fluid fluctuations, posing barriers to accurately obtain anthropometric measures and physical examinations as surrogates for muscle mass within the Global Leadership Initiative on Malnutrition (GLIM). We hypothesize the handgrip strength (HGS) would serve as a substitutive metric, by comparing the diagnostic consistency and prognostic accuracy with computed tomography-demarcated skeletal muscle index (SMI)-defined malnutrition according to the GLIM criteria.

METHODS

Patients with cirrhosis underwent a two-step approach involving nutrition risk screening and those fulfilling GLIM consensus were further diagnosed. The evaluation of muscle mass as one constituent contained in the GLIM criteria was conducted by SMI and HGS, respectively. Consistency test, Kaplan-Meier curve, and multivariate Cox regression were used to assess the performance of GLIM-SMI and GLIM-HGS.

RESULTS

Among 184 hospitalized patients with cirrhosis, 63 (34.2%) and 78 (42.4%) were diagnosed with malnutrition following GLIM-SMI and GLIM-HGS criteria, respectively. Considering the GLIM-SMI a gold standard, GLIM-HGS had a sensitivity of 87.3% and a specificity of 81.0%. GLIM-HGS criteria denoted good agreement (κ value = 0.858, P < 0.001) as compared with GLIM-SMI. Both criteria were independently associated with 1-year all-cause mortality, whereas GLIM-SMI showed slightly higher hazard ratios. Moreover, HGS positively correlated with SMI in the population alongside more pronounced correlation among patients at nutrition risk.

CONCLUSION

HGS may serve as a substitutive metric of muscle mass contained in the GLIM criteria to diagnose malnutrition and predict long-term mortality among patients with cirrhosis.

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.

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

BACKGROUND AND AIMS

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

METHODS

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

RESULTS

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

CONCLUSION

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

Evaluation and Management of Nutritional Consequences of Chronic Liver Diseases

Liver diseases are the major predisposing conditions for the development of malnutrition, sarcopenia, and frailty. Recently, the mechanism of the onset of these complications has been better established. Regardless of the etiology of the underlying liver disease, the clinical manifestations are common. The main consequences are impaired dietary intake, altered macro- and micronutrient metabolism, energy metabolism disturbances, an increase in energy expenditure, nutrient malabsorption, sarcopenia, frailty, and osteopathy. These complications have direct effects on clinical outcomes, survival, and quality of life. The nutritional status should be assessed systematically and periodically during follow-up in these patients. Maintaining and preserving an adequate nutritional status is crucial and should be a mainstay of treatment. Although general nutritional interventions have been established, special considerations are needed in specific settings such as decompensated cirrhosis, alcohol-related liver disease, and metabolic-dysfunction-associated fatty liver disease. In this review, we summarize the physiopathology and factors that impact the nutritional status of liver disease. We review how to assess malnutrition and sarcopenia and how to prevent and manage these complications in this setting.

Predicting dry weight in patients with cirrhotic ascites undergoing large-volume paracentesis

BACKGROUND & AIMS

Ascites impairs the correct diagnosis and nutritional management in patients with cirrhosis, because the body weight, which is needed for nutritional assessment and calculation of nutritional needs, is overestimated. To adjust the weight in patients with ascites, dietetic guidances indicate substracting 2.2-14 kg or 5-15% of the measured body weight according to the degree of ascites, however, there is a lack of evidence to substantiate these values. The aim of this study was to develop new prediction equations to estimate the dry weight, comparing them with the currently used weight adjustments in patients with refractory cirrhotic ascites.

METHODS

Cross-sectional study, that included patients with decompensated cirrhosis undergoing large-volume paracentesis. Patients were submitted to nutritional risk screening, nutritional assessment, and anthropometric measurements that included body weight, abdominal circumference (both measured before and after paracentesis) height, and upper mid-arm circumference. The volume of ascitic fluid drained was also registered. For the predictions of dry weight, linear regression models were performed using as predictor variables: height, pre-paracentesis weight, pre-paracentesis abdominal circumference, or mid-upper arm circumference, and as response variable: post-paracentesis weight. The capacity of these models to predict the post-paracentesis weight was evaluated by comparing it with the currently used predictions through the intraclass correlation coefficient (ICC) and the mean squared error (MSE).

RESULTS

Nineteen patients were included, 15 male, and 18 with high nutritional risk and malnutrition. The difference between post-paracentesis weight and pre-paracentesis weight was -5.0 (-3.6 to -9.9) kg, similar to ascitic fluid volume drained. Two equations were developed to predict post-paracentesis weight. ICC values showed that both prediction equations were strongly correlated (r > 0.94) with post-paracentesis weight. Our models also showed lower MSEs (<17.97), compared with the current predictions (MSEs <64.19, when the pre-paracentesis weight is adjusted from absolute values and MSEs <33.24 when adjusted from percentage values), indicating a more accurate prediction.

CONCLUSION

The predictive equations from this study may be better options for dry weight estimation in patients with refractory cirrhotic ascites since they showed higher reliability compared to the currently used weight adjustment. External validation in a larger sample is still needed to confirm the clinical applicability of these equations.

Power of mortality prediction in patients awaiting liver transplantation according to the Global Leadership Initiative on Malnutrition criteria and Subjective Global Assessment and Royal Free Hospital Global Assessment scores

OBJECTIVES

This study aimed to analyze the performance of the Global Leadership Initiative on Malnutrition (GLIM) criteria and Subjective Global Assessment (SGA) and Royal Free Hospital Global Assessment (RFH-GA) scores in predicting 12-mo mortality in patients awaiting liver transplantation.

METHODS

This is a longitudinal observational study, carried out between March 2019 and November 2021. Clinical data were collected and nutritional assessment was performed through anthropometry and application of validated instruments, such as the SGA, GLIM criteria, and RFH-GA. A Cox regression model was carried out, in which the dependent variable was mortality in 1 y, and the independent variables were the classifications of nutritional status by the different methods.

RESULTS

The sample consisted of 126 patients, most of them male (56.35%). Malnutrition was diagnosed in 85.71% of the patients according to the RFH-GA, 62.70% according to the SGA, and 56.31% according to the GLIM criteria. Malnutrition assessed by GLIM was related to a 3.79-fold increase in the chance of mortality over time in patients awaiting liver transplantation. Moreover, the GLIM criteria had good discriminatory power in identifying mortality in patients awaiting liver transplantation, compared with the initial and final SGA and RFH-GA scores and the Model for End-stage Liver Disease-Sodium (MELD-Na) index.

CONCLUSIONS

The GLIM criteria were a good predictor of increased risk of mortality in malnourished patients with chronic liver disease awaiting liver transplantation, compared with the SGA and RFH-GA scores and the MELD-Na index.

Comparison of the GLIM criteria with specific screening tool for diagnosing malnutrition in hospitalized patients with cirrhosis: A descriptive cross-sectional study

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) has been built to diagnose malnutrition; however, its validity among patients with cirrhosis remains enigmatic. We aimed to investigate the prevalence of malnutrition according to GLIM criteria and compare the differences by using a specific screening tool.

METHODS

We conducted a descriptive cross-sectional study analyzing hospitalized patients. The Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) was chosen as the screening tool. Estimated prevalence was shown with and without the initial screening process. Diverse combinations of phenotypic and etiologic criteria and distinct body mass index (BMI) cutoffs were applied to detect frequency of malnourished patients with cirrhosis.

RESULTS

Overall, 363 patients were recruited (median age, 64 years; 51.2% female). The prevalence of malnutrition according to GLIM criteria with and without RFH-NPT screening was 33.3% and 36.4%, respectively. Low BMI and inflammation represented the most prevalent combination resulting in a malnutrition diagnosis (42.4%), followed by low BMI and reduced food intake (39.4%). By contrast, the least prevalence was found when combining reduced muscle mass with inflammation to diagnose malnutrition. Furthermore, the frequency of malnourished and well-nourished participants was not statistically different when using divergent BMI reference values across the study population.

CONCLUSIONS

GLIM criteria may serve a specific proxy to diagnose malnutrition, along with RFH-NPT screening. Relevant investigation is required to report on the applied combination of phenotypic/etiologic criteria, taking into consideration the marked impact of different models. More attempts are warranted to delineate the prognostic role of GLIM criteria in the context of cirrhosis.

Malnutrition according to the Global Leadership Initiative on Malnutrition criteria is associated with in-hospital mortality and prolonged length of stay in patients with cirrhosis

OBJECTIVES

Malnutrition is prevalent and negatively affects patients with cirrhosis, but a generally accepted consensus pertaining to its diagnosis is lacking. Recently, a framework called the Global Leadership Initiative on Malnutrition (GLIM) has been proposed to diagnose malnutrition, but there is scant evidence regarding its validity. We aimed to investigate associations of malnutrition according to the GLIM criteria, as well as its individual indicator with in-hospital adverse outcomes.

METHODS

This was a prospective, observational study of consecutively hospitalized patients with cirrhosis. The malnutrition diagnosis was built on a stepwise GLIM process with initial screening, followed by fulfillment of at least one phenotypic and one etiologic criterion. Patients were followed up for a combined endpoint of in-hospital mortality and prolonged length of stay (LOS). Covariates compromise malnutrition according to the GLIM criteria and its indicators in separation. Logistic regression analyses were implemented to determine predictive validity.

RESULTS

A total of 387 cirrhotic patients were assessed. Malnutrition was diagnosed in 28.7% of patients according to the GLIM criteria, and increased the risk of in-hospital mortality and prolonged LOS by 2.166 and 1.767 times, respectively, adjusting for age, sex, biochemical parameters, and clinical scores of disease severity. When analyzing separate criteria, all constituents were independently associated with in-hospital adverse outcomes, adjusting for model for end-stage liver disease sodium score.

CONCLUSIONS

Malnutrition according to the GLIM criteria was considerably prevalent among hospitalized patients with cirrhosis, and associated with approximately two times greater probability of in-hospital mortality and prolonged LOS. These diagnostic criteria may be implemented and disseminated during daily practice considering their predictive validity.

Usefulness of the Global Leadership Initiative on Malnutrition criteria to predict sarcopenia and mortality in patients with chronic liver disease

AIM

The Global Leadership Initiative on Malnutrition (GLIM) criteria, a newly developed global consensus around core diagnostic criteria for malnutrition, needs validation studies for use in daily clinical settings. This study aimed to determine whether the GLIM criteria could predict sarcopenia and mortality in patients with chronic liver disease (CLD).

METHODS

We retrospectively reviewed 858 patients with CLD who were treated at our hospital between March 2013 and December 2019. Sarcopenia was diagnosed based on the criteria proposed by the Japan Society of Hepatology. Malnutrition was assessed using the GLIM criteria, subjective global assessment (SGA), and Royal Free Hospital-global assessment (RFH-GA) and their predictive ability for sarcopenia and mortality were assessed using the logistic regression analysis and the Cox proportional hazards regression model, respectively.

RESULTS

Among the eligible 406 patients, 67% were men, the median age was 74 years, and 26% had sarcopenia. The prevalence of malnutrition according to the GLIM criteria, SGA, and RFH-GA was 21%, 35%, and 26%, respectively. Comparing malnourished with well-nourished patients, the odds ratio for complicating sarcopenia was 2.54 (95% confidence interval [CI], 1.44-4.49) for the GLIM criteria, 2.13 (95% CI, 1.09-4.15) for the SGA, and 2.78 (95% CI, 1.56-4.95) for the RFH-GA. During a median follow-up period of 2.0 years, 176 (43%) patients died. After adjusting for confounding factors, the GLIM criteria could independently predict mortality (hazard ratio, 1.95; 95% CI, 1.37-2.81).

CONCLUSIONS

The GLIM criteria are useful in identifying sarcopenia and predicting mortality in patients with CLD.

Phase Angle and Handgrip Strength as a Predictor of Disease-Related Malnutrition in Admitted Patients: 12-Month Mortality

Background: Phase Angle (PhA) value measured by bioelectrical impedance analysis (BIA) could be considered a good marker of the patient’s cell mass and cellular damage. Various studies have shown that the value of PhA is associated with an increased nutritional risk in several pathologies. However, not many studies have focused on the use of PhA as a screening tool in admitted patients. The aim of this study is to evaluate the prognostic value of PhA to determine disease-related malnutrition (DRM) and the risk that this entails for mortality and length of stay (LOS). Methods: 570 patients admitted to the hospital for different causes were included in this retrospective observational study. Patients’ nutritional risk was assessed by screening tests such as the Malnutrition Universal Screening tool (MUST) and Subjective Global Assessment (SGA), in addition to non-invasive functional techniques, such as BIA and handgrip strength (HGS), 24−48 h after admission. After performing an SGA as the gold standard to assess malnutrition, PhA and SPhA values were used to determine DRM. Furthermore, both samples: malnutrition status (MS) and non-malnutrition status (NMS) were compared, with SphA-Malnutrition corresponding to a diagnosis of malnutrition. Statistical analysis of the sample was conducted with JAMOVI version 2.2.2. Results: Patients with MS had lower PhA and SPhA than patients with NMS (p < 0.001). The ROC curve analysis (AUC = 0.81) showed a cut-off point for MS for PhA = 5.4° (sensitivity 77.51% and specificity 74.07%) and AUC = 0.776 with a cut-off point for SPhA = −0.3 (sensitivity 81.74% and specificity 63.53%). Handgrip strength (HGS) was also observed to be a good predictor in hospitalized patients. Carrying out a comparative analysis between MS and NMS, length of stay (LOS) was 9.0 days in MS vs. 5.0 days in NMS patients (OR 1.07 (1.04−1.09, p < 0.001)). A low SPhA-malnutrition value (SPhA < −0.3) was significantly associated with a higher mortality hazards ratio (HR 7.87, 95% CI 2.56−24.24, p < 0.001). Conclusion: PhA, SPhA and HGS are shown to be good prognostic markers of DRM, LOS and mortality and could therefore be useful screening tools to complement the nutritional assessment of admitted patients.