Prevalence of nutritional risk and malnutrition in hospitalized patients: a retrospective, cross-sectional study of single-day screening

Hospital malnutrition remains a significant public health issue, particularly in developing countries. The Global Leadership Initiative on Malnutrition (GLIM) proposed homogenizing criteria to standardize malnutrition diagnosis. This study aimed to retrospectively determine the prevalence of nutritional risk and malnutrition diagnoses among hospitalized patients using the Nutritional Risk Screening (NRS)-2002 screening instrument and the GLIM criteria, respectively. We conducted a retrospective, cross-sectional study from nutritional records of patients hospitalized in a single centre 2021. Nutrition data from records included medical diagnosis, gender, length of stay, age, weight, height, body mass index, weight loss, calf circumference, and middle upper arm circumference. Nutritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. The study included 616 records of patients; 52.3% (n = 322) of the population were male. The prevalence of nutritional risk, according to NRS-2002, was 69.5% (n = 428). Nutritional risk as well as malnutrition diagnosis according to GLIM criteria was observed in 87.8% (n = 374) of patienttritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. Ws. Tools showed a strong concordance (κ= 0.732). All anthropometric data, except for height, were found to be significantly different between patients with moderate and severe malnutrition (p < 0.05). Our findings highlight a high prevalence of malnutrition in this group of hospitalized patients in Mexico. NRS-2002 demonstrated good agreement with the diagnosis of malnutrition according to GLIM criteria and could be considered part of the straightforward two-step approach for malnutrition; however, further studies are needed.

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.

Clinical impact of malnutrition according to the Global Leadership Initiative on Malnutrition criteria combined with kidney dysfunction to determine mortality in inpatients

OBJECTIVE

The clinical impact of malnutrition based on the Global Leadership Initiative on Malnutrition (GLIM) criteria in patients with kidney dysfunction remains poorly understood. This study investigated the usefulness of GLIM criteria for malnutrition predicting mortality in patients with kidney dysfunction and different clinical renal states, including no kidney disease (NKD), acute kidney injury (AKI), and chronic kidney disease (CKD).

METHODS

This single-center retrospective cohort study included 6,712 patients aged ≥18 admitted between 2018 and 2019. The relationship between the estimated glomerular filtration rate (eGFR) groups, nutritional status based on the GLIM criteria, and incidence of all-cause mortality was evaluated using multivariate Cox proportional hazards (CPH) models. Malnutrition was defined as at least one phenotype (weight loss, low body mass index (BMI), or reduced muscle mass) and one etiological criterion (reduced intake/assimilation or disease burden/inflammation).

RESULTS

Multivariate CPH models showed that eGFR ≤29 (vs. eGFR: 60-89, adjusted HR = 1.84, 95% CI: 1.52-2.22), 30-59 (vs. eGFR: 60-89, adjusted HR = 1.40, 95% CI: 1.20-1.64), and ≥90 (vs. eGFR: 60-89, adjusted HR = 1.40, 95% CI: 1.14-1.71), moderate and severe malnutrition (vs. without malnutrition, adjusted HR = 1.38 [1.18-1.62] and 2.18 [1.86-2.54], respectively) were independently associated with the incidence of death. The all-cause mortality rate was higher in patients with malnutrition or eGFR ≤29 (adjusted HR, 3.31; 95% CI: 2.51-4.35) than in patients without malnutrition or eGFR 60-89. Furthermore, moderate and severe malnutrition (vs. no malnutrition) was independently associated with death in patients with NKD, AKI, and CKD.

CONCLUSION

Malnutrition based on the GLIM criteria was associated with increased all-cause mortality in inpatients, and malnutrition combined with kidney dysfunction was associated with a higher risk of mortality. Furthermore, patients with NKD, AKI, and CKD showed an association between malnutrition based on GLIM criteria and mortality.

Nutritional status and nutritional intervention of older inpatients in China

BACKGROUND

Malnutrition is a critical issue among older inpatients, yet limited large-scale research related to this issue has been conducted in China. This study aimed to examine the nutritional status and support of older inpatients in China, assess the associations between disease categories and malnutrition on admission, and explore effective nutritional intervention.

METHODS

A total of 24,139 older participants from the China Nutrition Fundamental Data 2020 Project were included. Malnutrition was measured by the Global Leadership Initiative on Malnutrition criteria. Adjusted odds ratios (aORs) were calculated using logistic analysis.

RESULTS

The overall frequency of malnutrition on admission was 18.9%. Participants with infections were more likely to have malnutrition (aOR = 1.929, 95% CI 1.486-2.504). Risks that were also noted for malnutrition included neoplasms (aOR = 1.822, 95% CI 1.697-1.957), hemic and lymphatic diseases (aOR = 1.671, 95% CI 1.361-2.051), nervous system diseases (aOR = 1.222, 95% CI 1.126-1.326), respiratory diseases (aOR = 1.613, 95% CI 1.490-1.746), and digestive system diseases (aOR = 1.462, 95% CI 1.357-1.577). Further, 32.26% inpatients with malnutrition during hospitalization didn't receive nutritional support. Oral nutrition supplements, enteral tube feeding, and parenteral nutrition were associated with stable or improved nutritional status.

CONCLUSIONS

Older inpatients were at a high risk for malnutrition but did not receive adequate nutritional intervention. More resources and attention need to be devoted to the nutritional status of older inpatients and targeted nutritional support.

Impact of malnutrition and sarcopenia on quality of life in patients with inflammatory bowel disease: A multicentre study

BACKGROUND

Malnutrition and subsequent alterations in body composition (BC), particularly sarcopenia, are common but not yet elucidated in patients with inflammatory bowel disease (IBD); we aimed to detail the changes in BC and the characteristics of co-occurrence of malnutrition and sarcopenia in IBD patients and to investigate its effect on quality of life.

METHODS

This study was a multicentre, prospective, observational study involving four tertiary referral hospitals in China. The following data were collected from consecutive IBD inpatients: demographic information, medical history, recent weight change, handgrip strength (HGS) and BC parameters by bioelectrical impedance analysis (BIA). Nutritional assessments were performed through stepwise screening (Nutritional Risk Screening 2002) and diagnosis (World Health Organization-related body mass index [BMI], subjective global assessment, European Society for Clinical Nutrition and Metabolism 2015 and Global Leadership Initiative on Malnutrition [GLIM] criteria). The quality of life was assessed by the Inflammatory Bowel Disease Questionnaire. IBD patients were compared with 1:1 sex-, age- and BMI-matched healthy controls (MHC).

RESULTS

A total of 238 IBD patients (177 Crohn's disease [CD] and 61 ulcerative colitis [UC]), 68.5% male, with a mean age of 38.5 ± 14.0 years and a mean BMI of 19.8 ± 3.5 kg/m2 , were recruited. Compared with MHC (n = 122), IBD patients showed significant deterioration in BC and physical function, characterized by muscle depletion (appendicular skeletal muscle mass index [ASMI], 8.0 ± 1.3 vs. 6.7 ± 1.2 kg/m2 , Δ% -15.0% [-22.0%, -10.0%], P < 0.001) and fat accumulation (visceral fat area, 32.9 ± 22.6 vs. 66.5 ± 35.8, Δ% 110.0% [35.0%, 201.0%], P < 0.001). The prevalence of GLIM-defined malnutrition and sarcopenia in IBD patients was 60.1% and 25.2%, respectively. The nutritional status of patients with CD was worse than that of patients with UC. The activity phase of IBD significantly and negatively affected BC, while the lesion location did not. The co-occurrence of sarcopenia and malnutrition was not optimistic; 16.4-21.8% of patients suffer from sarcopenia and malnutrition based on different criteria at the same time, which was accompanied by a reduction in quality of life. HGS was correlated with various BC parameters (body cell mass, r = 0.76; ASMI, r = 0.70; fat-free mass, r = 0.73, all P < 0.001).

CONCLUSIONS

GLIM-defined malnutrition and sarcopenia were prevalent in IBD patients and kept a high rate of co-occurrence, which was accompanied with impaired quality of life. The alteration of BC in IBD patients was characterized by muscle depletion and fat accumulation. The strong correlation between HGS and BIA-derived BC suggested its hopeful evaluation in nutritional status and sarcopenia in IBD patients.

Prevalence of Undernutrition in Community-Dwelling Older Adults in The Netherlands: Application of the SNAQ65+ Screening Tool and GLIM Consensus Criteria

The aim of this study was to provide recent data on the prevalence of undernutrition based on screening and diagnosis in Dutch community-dwelling older adults. The data from the 2021 to 2022 examination wave from the Longitudinal Aging Study Amsterdam (n = 1138) and the Dutch National Food Consumption Survey 2019-2021 (n = 607) on community-dwelling men and women aged 65 years and older were used. The prevalence of undernutrition was based on a positive score on the Short Nutritional Assessment Questionnaire 65+ (SNAQ65+) screening tool, a positive diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria and their combination. Of the combined sample (n = 1745), the mean age was 74 (SD 6) years, where 16.7% were aged 80 years or older, 50.5% was female, 56.9% had a high education level, and 30.3% lived alone. The prevalence of undernutrition based on the SNAQ65+ screening in the combined sample was 8.5% (95% CI 7.3-9.9%). In the subgroup of LASA participants with complete data on all GLIM criteria (n = 700), the prevalence of undernutrition was 5.4% based on SNAQ65+ and 7.1% based on GLIM. A positive SNAQ65+ screening followed by a positive GLIM diagnosis resulted in a lower prevalence (3.1%). Being female, older, living alone, receiving formal home care, and having poor self-rated health, poor appetite, or mobility limitations, they were all associated with a higher prevalence, with more than two-fold higher prevalence rates in some subgroups. The results show that currently one out of twelve community-dwelling adults aged 65 years and older is undernourished based on the SNAQ65+ screening, and one out of fourteen is undernourished based on the GLIM diagnosis criteria. Awareness is needed to increase early recognition and treatment in community and primary care, especially among the more vulnerable groups.

The association between GLIM criteria defined malnutrition and 2-year unplanned hospital admission in outpatients with unintentional weight loss: A retrospective cohort study

BACKGROUND

This study aimed to assess malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and Subjective Global Assessment (SGA) at baseline and determine the GLIM criteria that best predicted unplanned hospitalization in unintentional weight loss (UWL) outpatients.

METHODS

We performed a retrospective cohort study of 257 adult outpatients with UWL. The GLIM criteria and SGA agreement were reported using Cohen's kappa coefficient. Kaplan-Meier survival curves and adjusted Cox regression analyses were used for survival data. Logistic regression was used for the other correlation analysis.

RESULTS

This study collected data from 257 patients for 2 years. Based on the GLIM criteria and SGA, malnutrition prevalence was 79.0% and 72.0%, respectively (k = 0.728, P < 0.001). Using SGA as a standard, GLIM had a sensitivity of 97.8%, a specificity of 69.4%, a positive predictive value of 89.2%, and a negative predictive value of 92.6%. Malnutrition was associated with higher rates of unplanned hospital admission independent of other prognostic factors (GLIM: hazard ratio (HR) 2.85, 95% confidence interval (CI): 1.22 to 6.68; SGA: HR 2.07, 95% CI: 1.13 to 3.79). Of the five GLIM criteria-related diagnostic combinations, disease burden or inflammation was the most important to predict unplanned hospital admission in multivariable analysis (HR 3.27, 95% CI: 2.03 to 5.28).

CONCLUSION

There was good agreement between the GLIM criteria and SGA. GLIM-defined malnutrition, as well as all five GLIM criteria-related diagnosis combinations, had the potential to predict unplanned hospital admissions in UWL outpatients within 2 years. This article is protected by copyright. All rights reserved.

Malnutrition diagnosed by the Global Leadership Initiative on Malnutrition criteria predicting survival and clinical outcomes of patients with cancer: A systematic review and meta-analysis

Objectives

Recently, some cohorts have looked into the use of Global Leadership Initiative on Malnutrition (GLIM) criteria in cancer patients. The objective of the current meta-analysis was to determine its utility in predicting clinical and survival outcomes for cancer patients.

Method

Searching and screening literature from PubMed, Web of Science and Embase until September 13, 2022 was performed by two researchers independently. According to the exclusion and inclusion criteria, articles reporting the impact of malnutrition diagnosed by GLIM on long-term survival and clinical outcomes were included. Data of interest were also extracted from the included papers. The stability of the pooled results was evaluated using sensitivity analysis. With the aid of subgroup analysis, heterogeneity was revealed. To assess publication bias, Egger's and Begg's tests were conducted. The influence of publication bias on the pooling risk estimate was examined using a trim-and-fill analysis.

Results

15 studies that qualified for our study were identified. Pooled hazard ratio (HR) from both multivariate and univariate regression analysis showed a worse overall survival in GLIM-defined malnourished cancer patients than those in well-nourished status. Meanwhile, disease-free survival was also poorer in malnourished patients. Moreover, pooled odds ratio (OR) demonstrated that malnourished cancer patients were more likely to develop overall postoperative complications, complications ≥ Clavien-Dindo grade IIa and complications ≥ Clavien-Dindo grade IIIa. Two articles reported negative relation between GLIM-defined malnutrition and 30-day readmission/mortality.

Conclusion

GLIM-defined malnutrition possesses value in predicting poorer survival and clinical outcomes for cancer patients.

Systematic review registration

[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=321094], identifier [CRD42022321094].

Development and Validation of Global Leadership Initiative on Malnutrition for Prognostic Prediction in Patients Who Underwent Cardiac Surgery

The Global Leadership Initiative on Malnutrition (GLIM) has achieved a consensus for the diagnosis of malnutrition in recent years. This study aims to determine the prognostic effect of the GLIM after cardiac surgery. A total of 603 patients in the training cohort and 258 patients in the validation cohort were enrolled in this study. Perioperative characteristics and follow-up data were collected. A nomogram based on independent prognostic predictors was developed for survival prediction. In total, 114 (18.9%) and 48 (18.6%) patients were defined as being malnourished according to the GLIM criteria in the two cohorts, respectively. Multivariate regression analysis showed that GLIM-defined malnutrition was an independent risk factor of total complication (OR 1.661, 95% CI: 1.063–2.594) and overall survival (HR 2.339, 95% CI: 1.504–3.637). The c-index was 0.72 (95% CI: 0.66–0.79) and AUC were 0.800, 0.798, and 0.780 for 1-, 2-, and 3-year survival prediction, respectively. The calibration curves of the nomogram fit well. In conclusion, GLIM criteria can efficiently identify malnutrition and has a prognostic effect on clinical outcomes after cardiac surgery. GLIM-based nomogram has favorable performance in survival prediction.

Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary-Pancreatic Cancers

The Global Leadership Initiative on Malnutrition (GLIM) criteria recommends using race- and sex-adjusted cutoff values for reduced muscle mass (RMM), but the only cutoff values available for Asians are the skeletal muscle mass index (SMI) established by the Asian Working Group for Sarcopenia (AWGS). This retrospective study aimed to develop and validate cutoff values for the fat-free mass index (FFMI) and arm circumference (AC) of Asians, and to investigate the association between GLIM malnutrition and prognosis. A total of 660 patients with primary gastrointestinal (GI) and hepatobiliary–pancreatic (HBP) cancers who underwent their first resection surgery were recruited and randomly divided into development and validation groups. The FFMI and AC cutoff values were calculated by receiver operating characteristic curve analysis for the AWGS SMI as the gold standard. The cutoff values for each RMM were used to diagnose malnutrition on the basis of GLIM criteria, and the survival rates were compared. The optimal FFMI cutoff values for RMM were 17 kg/m² for men and 15 kg/m² for women, and for AC were 27 cm for men and 25 cm for women. In the validation group, the accuracy of the FFMI and AC cutoff values to discriminate RMM were 85.2% and 68.8%, respectively. Using any of the three measures of RMM, overall survival rates were significantly lower in the GLIM malnutrition group. In conclusion, the cutoff values for the FFMI and AC in this study could discriminate RMM, and GLIM malnutrition using these cutoff values was associated with decreased survival.

Global Leadership Initiative on Malnutrition criteria with different muscle assessments including muscle ultrasound with hospitalized internal medicine patients

BACKGROUND

The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission.

METHODS

A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion.

RESULTS

The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS).

CONCLUSIONS

Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.

Impact of malnutrition diagnosed using Global Leadership Initiative on Malnutrition criteria on clinical outcomes of patients with gastric cancer

OBJECTIVE

Our objective is to validate the effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criteria in malnutrition diagnosis compared with Patient-Generated Subjective Global Assessment (PG-SGA) and assess the impact of malnutrition diagnosed using GLIM criteria on the clinical outcomes of patients with GC.

METHODS

We retrospectively analyzed the data of 895 patients who underwent radical gastrectomy at the First Affiliated Hospital of Wenzhou Medical University. Nutrition assessment was performed on all patients according to the GLIM criteria and PG-SGA. The κ statistic was used to evaluate the agreement between two methods. Multivariate logistic regression and Cox regression based on single-factor analysis were used to predict postoperative complications and overall survival rates.

RESULTS

Based on the GLIM criteria, 38.3% of the patients were diagnosed as malnourished, including 21.7% Stage I (moderate malnutrition) and 16.6% Stage II (severe malnutrition). GLIM criteria had a moderate agreement with PG-SGA (κ = 0.548). Patients in the Stage II malnutrition group had a higher incidence of complications, a longer postoperative length of stay, and higher hospitalization costs. Logistic regression showed that Stage II malnutrition was an independent risk predictor of postoperative complications (odds ratio, 3.28; 95% confidence interval [CI], 2.18-4.94). Furthermore, Cox regression analysis showed that both Stage I (hazard ratio [HR], 1.52; 95% CI, 1.11-2.07; P = .009) and Stage II (HR, 1.85; 95% CI, 1.34-2.53; P < .001) malnutrition were independent risk predictors of overall survival.

CONCLUSION

Diagnosis of malnutrition according to the GLIM criteria is useful in predicting the adverse postoperative clinical outcomes of patients with gastric cancer.

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

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) has the potential to gain global acceptance for diagnosing malnutrition. Of which, calf circumference (CC) was proposed as an alternative to evaluate the reduced muscle mass (RMM). The present study aimed to evaluate whether including the hand grip strength (HGS) was helpful for diagnosing malnutrition under the GLIM framework.

METHODS

We performed a multicenter, observational cohort study including 3998 patients with cancer at two teaching hospitals. The RMM criterion was separately assessed using the calf circumference (CC), or the CC and HGS combined. Accordingly, two methods of GLIM diagnosis were independently developed to determine the nutritional status of the patients. The diagnostic concordance, baseline characteristics, and outcomes of patients were compared across the malnourished-CC-HGS, malnourished-CC+HGS, and well-nourished groups. The Patient-Generated Subjective Global Assessment (PG-SGA) was used as a comparator to identify the optimal method.

RESULTS

Malnutrition was identified in 1120 (28%) patients by the CC method and 1060 (26.5%) patients by the CC+HGS method. Compared to the well-nourished group, the malnourished-CC+HGS group (60 patients, 1.5%) had poorer nutritional characteristics, poorer Karnofsky Performance Status scores, poorer global quality of life scores, and higher Nutritional Risk Screening 2002 scores. The severity of malnutrition diagnosed using the CC method (Kappa = 0.136) showed higher agreement with the PG-SGA than the CC+HGS method (Kappa = 0.127).

CONCLUSION

Compared to CC+HGS, the CC alone appears to be adequate to evaluate RMM under the GLIM framework. A simpler method might facilitate the application of these criteria in clinical settings by increasing efficacy and minimizing missed diagnoses.

Malnutrition-Inflammation Score VS Phase Angle in the Era of GLIM Criteria: A Cross-Sectional Study among Hemodialysis Patients in UAE

(1) Background: Malnutrition is prevalent in hemodialysis (HD) patients and is associated with an increased risk of morbidity and mortality. The aim of this study was to explore the prevalence of malnutrition using the malnutrition-inflammation score (MIS) and phase angle (PhA) and compare their concordance with the new Global Leadership Initiative on Malnutrition (GLIM) criteria for the diagnosis of malnutrition. (2) Methods: Seventy HD patients were assessed. Malnutrition was diagnosed based on the GLIM criteria and MIS questionnaire. The agreement between the diagnostic tools (MIS, PhA derived from the bioelectrical impedance analysis (BIA), and GLIM criteria) was assessed. The optimal gender-specific cutoff points were identified for the PhA according to the GLIM criteria. (3) Results: Almost half of the sample was diagnosed as malnourished according to the MIS (48.57%) and GLIM criteria (54.29%). A fair agreement was observed between the GLIM criteria, MIS (k = 0.202), and PhA (k = 0.279) among the malnourished patients. The PhA had better sensitivity but worse specificity compared to the MIS. The optimum cutoff points of PhA to detect malnutrition according to the GLIM criteria were a PhA value of ≤5.7° for males and ≤3.8° for females. (4) Conclusion: The MIS performed slightly better than PhA in the diagnosis of malnutrition among HD patients within the spectrum of the GLIM criteria.