A Cross-Sectional Study of GLIM-Defined Malnutrition Based on New Validated Calf Circumference Cut-off Values and Different Screening Tools in Hospitalised Patients over 70 Years Old

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.

Complementarity of nutrition screening with Global Leadership Initiative on Malnutrition criteria for diagnosing malnutrition in critically ill patients: A comparison study of Nutritional Risk Screening 2002 and modified Nutrition Risk in the Critically Ill Score

BACKGROUND AND AIM

Critical illness induces hypermetabolism and hypercatabolism, increasing nutrition risk (NR). Early NR identification is crucial for improving outcomes. We assessed four nutrition screening tools (NSTs) complementarity with the Global Leadership Initiative on Malnutrition (GLIM) criteria in critically ill patients.

METHODS

We conducted a comparative study using data from a cohort involving five intensive care units (ICUs), screening patients for NR using NRS-2002 and modified-NUTRIC tools, with three cutoffs (≥3, ≥4, ≥5), and malnutrition diagnosed by GLIM criteria. Our outcomes of interest included ICU and in-hospital mortality, ICU and hospital length of stay (LOS), and ICU readmission. We examined accuracy metrics and complementarity between NSTs and GLIM criteria about clinical outcomes through logistic regression and Cox regression. We established a four-category independent variable: NR(-)/GLIM(-) as the reference, NR(-)/GLIM(+), NR(+)/GLIM(-), and NR(+)/GLIM(+).

RESULTS

Of the 377 patients analyzed (median age 64 years [interquartile range: 54-71] and 53.8% male), NR prevalence varied from 87% to 40.6%, whereas 64% presented malnutrition (GLIM criteria). NRS-2002 (score ≥4) showed superior accuracy for GLIM-based malnutrition. Multivariate analysis revealed mNUTRIC(+)/GLIM(+) increased >2 times in the likelihood of ICU and in-hospital mortality, ICU and hospital LOS, and ICU readmission compared with the reference group.

CONCLUSION

No NST exhibited satisfactory complementarity to the GLIM criteria in our study, emphasizing the necessity for comprehensive nutrition assessment for all patients, irrespective of NR status. We recommend using mNUTRIC if the ICU team opts for nutrition screening, as it demonstrated superior prognostic value compared with NRS-2002, and applying GLIM criteria in all patients.

Dietary Provision, GLIM-Defined Malnutrition and Their Association with Clinical Outcome: Results from the First Decade of nutritionDay in China

Malnutrition is a common and serious issue that worsens patient outcomes. The effects of dietary provision on the clinical outcomes of patients of different nutritional status needs to be verified. This study aimed to identify dietary provision in patients with eaten quantities of meal consumption and investigate the effects of dietary provision and different nutritional statuses defined by the GLIM criteria on clinical outcomes based on data from the nutritionDay surveys in China. A total of 5821 adult in-patients from 2010 to 2020 were included in this study's descriptive and Cox regression analyses. Rehabilitation and home discharge of 30-day outcomes were considered a good outcome. The prevalence of malnutrition defined by the GLIM criteria was 22.8%. On nutritionDay, 51.8% of all patients received dietary provisions, including hospital food and a special diet. In multivariable models adjusting for other variables, the patients receiving dietary provision had a nearly 1.5 higher chance of a good 30-day outcome than those who did not. Malnourished patients receiving dietary provision had a 1.58 (95% CI [1.36-1.83], p < 0.001) higher chance of having a good 30-day outcome and had a shortened length of hospital stay after nutritionDay (median: 7 days, 95% CI [6-8]) compared to those not receiving dietary provision (median: 11 days, 95% CI [10-13]). These results highlight the potential impacts of the dietary provision and nutritional status of in-patients on follow-up outcomes and provide knowledge on implementing targeted nutrition care.

How Useful are Mid-Arm and Calf Circumferences to Indicate Reduced Muscle Mass in Order to Recognize GLIM-Defined Malnutrition in Elderly Individuals?

AIMS

The aim of this study was to estimate cutoff values of mid-upper arm circumference (MUAC) and calf circumference (CC) for reduced muscle mass and analyze their accuracy in identifying malnutrition among individuals of 65 years of age or older in Bosnia and Herzegovina.

MATERIALS AND METHODS

The study is a secondary analysis dataset assessing nutritional risk and malnutrition among 446 community-dwellers and nursing home residents in Bosnia and Herzegovina. Malnutrition assessment included phenotypic criterions (weight loss, low body mass index, and reduced muscle mass) and etiologic criterions (inadequate food intake, disease-related inflammation, or albumin levels) according to recommendations of the Global Leadership Initiative on Malnutrition (GLIM). Receiver operating curves were used to calculate MUAC and CC's cutoff values as compared to the Mini Nutritional Assessment (MNA).

RESULTS

The optimal cutoff value for MUAC in men was 24 cm (AUC = 0.910, sensitivity 100%, specificity 77%), and in women 23 cm (AUC = 0.792, sensitivity 64%, specificity 83%). Optimal cutoff value of CC in men was 31 cm (AUC = 0.818, sensitivity 100%, specificity 67%) and in women 29 cm (AUC = 0.882, sensitivity 86%, specificity 74%). Two hundred fifty nine elderly individuals were categorized as malnourished/at risk for malnutrition per MNA. The prevalence of malnutrition based on GLIM criteria ranged from 19% to 30%.

CONCLUSIONS

The study suggested that MUAC and CC may be used as the alternative indicators of muscle mass when other assessment methods are unavailable. Future validation and reliability studies for GLIM using anthropometric parameters as a proxy of reduced muscle mass are needed.

GLIM criteria to identify malnutrition in patients in hospital settings: A systematic review

Malnutrition is recognized as one of the main public health problems in hospitals. The Global Leadership Initiative on Malnutrition (GLIM) has established a global consensus on the criteria for diagnosing malnutrition in adults in hospital settings. This study aimed to evaluate the ability of the GLIM criteria as a tool to identify malnutrition in hospital settings and to compare the prevalence of malnutrition identified by GLIM criteria with that identified by other screening and/or nutrition assessment methods. This was a systematic review. Searches were performed using MEDLINE/PubMed, Scopus, and Virtual Health Library, based on established descriptors. The included studies were observational and used screening and/or nutrition assessment tools to compare the prevalence of malnutrition and predictive capacity identified by GLIM criteria in patients aged >18 years in hospital settings. Twelve studies were included in this systematic review. A total of 4066 individuals with different pathologies and clinical conditions participated in the included studies. The prevalence of malnutrition, according to the GLIM criteria, ranged from 16% to 80%. In four studies, the prevalence of malnutrition based on GLIM was higher than that based on the other indicators. Six studies that evaluated the predictive ability of GLIM criteria identified satisfactory sensitivity and specificity. Four studies found low to high agreement between GLIM and the other methods. GLIM criteria can identify malnutrition and find a high prevalence and severity of malnutrition in the hospital setting, proving them to be a sensitive and specific instrument, with good agreement between screening and nutrition assessment methods.

Validity of the Global Leadership Initiative on Malnutrition criteria using calf circumference in the prediction of in-hospital mortality in older surgical patients: A secondary analysis of a cohort study

BACKGROUND

Malnutrition is a prevalent condition among older patients and is associated with worse clinical outcomes. Methods such as the Subjective Global Assessment (SGA), the Mini Nutritional Assessment Long Form (MNA-LF), and the Global Leadership Initiative on Malnutrition (GLIM) diagnose malnutrition early. This study aimed to evaluate the performance and validity of these instruments to predict the length of hospital stay (LOS) and in-hospital mortality in older surgical patients.

METHODS

This prospective cohort study was performed in hospitalized older surgical patients. In the first 48 h of admission, general data were collected, and patients were evaluated by SGA, MNA-LF, and GLIM using calf circumference (CC) and mid-upper arm circumference (MUAC) as phenotypic criteria for nutrition diagnoses. Accuracy tests and regression analysis adjusted for sex, type of surgery, and the Charlson Comorbidity Index adjusted for age were performed to assess the criterion validity of instruments to predict LOS and mortality.

RESULTS

A total of 214 patients (age 75.4 ± 6.6 years, 57.3% men, and 71.1% admitted to elective surgery) were evaluated. Malnutrition was diagnosed in 39.7% (SGA), 63% (MNA-LF), 41.6% (GLIMCC ), and 32.1% (GLIMMUAC ) of patients. GLIMCC had the best accuracy (AUC = 0.70; 95% CI, 0.63-0.79) and sensitivity (95.8%) to predict in-hospital mortality. In the adjusted analysis, malnutrition, according to SGA, MNA-LF, and GLIMCC , increased the risk of in-hospital mortality by 3.12 (95% CI, 1.08-11.34), 4.51 (95% CI, 1.29-17.61), and 4.83 (95% CI, 1.52-15.22), respectively.

CONCLUSION

GLIMCC had the best performance and satisfactory criterion validity to predict in-hospital mortality in older surgical patients.

Prevalence of malnutrition based on global leadership initiative in malnutrition criteria for completeness of diagnosis and future risk of malnutrition based on current malnutrition diagnosis: systematic review and meta-analysis

Background

The proposal of the global leadership initiative in malnutrition (GLIM) criteria has received great attention from clinicians. The criteria are mainly used in the research environment and have the potential to be widely used in the clinic in the future. However, the prevalence of malnutrition and risk of future malnutrition based on a current diagnosis of malnutrition are worth exploring.

Methods

A systematic search of PubMed, Embase, and the Cochrane Library was performed from the earliest available date to 1 February 2023. According to the diagnostic criteria of the GLIM, we analysed the prevalence of malnutrition by directly adopting the GLIM criteria for diagnosis without a previous nutritional risk screening (one-step approach) and by adopting the GLIM criteria for diagnosis after a nutritional risk screening (two-step approach). The main outcome was the prevalence of malnutrition based on the one-and two-step approaches. Secondary outcomes were the future risk of malnutrition based on the GLIM diagnosis, including mortality within and beyond 1 year. primary outcomes were pooled using random-effects models, and secondary outcomes are presented as hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

A total of 64 articles were included in the study, including a total of 47,654 adult hospitalized patients and 15,089 malnourished patients based on the GLIM criteria. Malnutrition was diagnosed by the one-step approach in 18 studies and by the two-step approach in 46 studies. The prevalence of malnutrition diagnosed by the one-and two-step approaches was 53% (95% CI, 42%-64%) and 39% (95% CI, 0.35%-0.43%), respectively. The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was quite different; the prevalence of malnutrition diagnosed by the Nutritional Risk Screening 2002 (NRS2002) GLIM tool was 35% (95% CI, 29%-40%); however, the prevalence of malnutrition diagnosed by the Mini Nutrition Assessment (MNA) GLIM tool was 48% (95% CI, 35%-62%). Among the disease types, the prevalence of malnutrition in cancer patients was 44% (95% CI, 36%-52%), while that in acute and critically ill patients was 44% (95% CI, 33%-56%). The prevalence in patients in internal medicine wards was 40% (95% CI, 34%-45%), while that in patients in surgical wards was 47% (95% CI, 30%-64%). In addition, the mortality risk within 1 year (HR, 2.62; 95% CI, 1.95-3.52; I² = 77.1%) and beyond 1 year (HR, 2.04; 95% CI, 1.70-2.45; I² = 59.9%) of patients diagnosed with malnutrition by the GLIM criteria was double that of patients with normal nutrition.

Conclusion

The prevalence of malnutrition diagnosed by the GLIM criteria after a nutritional risk screening was significantly lower than the prevalence of malnutrition diagnosed directly by the GLIM criteria. In addition, the mortality risk was significantly greater among malnourished patients assessed by the GLIM criteria.Systematic review registration: identifier CRD42023398454.

Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter study

BACKGROUND & AIMS

The present study aimed to compare the ability of the GLIM criteria, PG-SGA and mPG-SGA to diagnose malnutrition and predict survival among Chinese lung cancer (LC) patients.

METHODS

This was a secondary analysis of a multicenter, prospective, nationwide cohort study, 6697 LC inpatients were enrolled between July 2013 and June 2020. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), and quadratic weighted Kappa coefficients were calculated to compare the ability to diagnose malnutrition. There were 754 patients who underwent follow-up for a median duration of 4.5 years. The associations between the nutritional status and survival were analyzed by the Kaplan-Meier method and multivariable Cox proportional hazard regression models.

RESULTS

The median age of LC patients was 60 (53, 66), and 4456 (66.5%) were male. There were 617 (9.2%), 752 (11.2%), 1866 (27.9%), and 3462 (51.7%) patients with clinical stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ LC, respectively. Malnutrition was present in 36.1%-54.2% (as evaluated using different tools). Compared with the PG-SGA (used as the diagnostic reference), the sensitivity of the mPG-SGA and GLIM was 93.7% and 48.3%; the specificity was 99.8% and 78.4%; and the AUC was 0.989 and 0.633 (P < 0.001). The weighted Kappa coefficients were 0.41 for the PG-SGA vs. GLIM, 0.44 for the mPG-SGA vs. GLIM, and 0.94 for the mPG-SGA vs PG-SGA in patients with stage Ⅰ-Ⅱ LC. These values were respectively 0.38, 0.39, and 0.93 in patients with stage Ⅲ-Ⅳ of LC. In a multivariable Cox analysis, the mPG-SGA (HR = 1.661, 95%CI = 1.348-2.046, P < 0.001), PG-SGA (HR = 1.701, 95%CI = 1.379-2.097, P < 0.001) and GLIM (HR = 1.657, 95%CI = 1.347-2.038, P < 0.001) showed similar death hazard ratios.

CONCLUSIONS

The mPG-SGA provides nearly equivalent power to predict the survival of LC patients as the PG-SGA and the GLIM, indicating that all three tools are applicable for LC patients. The mPG-SGA has the potential to be an alternative replacement for quick nutritional assessment among LC patients.

Association between Malnutrition Assessed by the Global Leadership Initiative on Malnutrition Criteria and Mortality in Older People: A Scoping Review

The Global Leadership Initiative on Malnutrition (GLIM) criteria were introduced in 2018 for the diagnosis of malnutrition in adults. This review was aimed at gathering the evidence about the association between malnutrition according to the GLIM criteria and mortality in older people, an emerging and clinically meaningful topic in the implementation of the GLIM criteria in geriatric healthcare settings. This scoping review considered meta-analyses, systematic reviews, cohort studies, and cross-sectional studies published in PubMed, Scopus, and the Cochrane Database for Systematic Reviews from the development of the GLIM criteria in 2018 to January 2023. Seventeen articles (15 cohort and 2 cross-sectional studies) were included. The association between GLIM criteria and mortality had been assessed in hospitalized (11 over the 17 articles) and community-dwelling older populations, and those in nursing homes. The review found a strong association between malnutrition according to GLIM criteria and mortality in hospitalized (1.2-fold to 7-fold higher mortality) and community-dwelling older people (1.6-fold to 4-fold higher mortality). These findings highlight the prognostic value of the GLIM criteria and support strategies towards the implementation of malnutrition evaluation according to the GLIM, in order to optimize comprehensive geriatric assessment and provide older people with the highest quality of nutritional care. Studies in nursing home populations were very scarce and may be urgently required.

Prognostic implications of the global leadership initiative on malnutrition criteria as a routine assessment modality for malnutrition in hospitalized patients at a university hospital

BACKGROUND & AIMS

Few studies have examined the association between mortality and malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria for routine nutritional assessment; thus, this association is not well known. We aimed to clarify the association between GLIM-defined malnutrition and mortality in a large population of hospitalized patients.

METHODS

In this retrospective cohort study, we enrolled adult patients admitted to Aichi Medical University Hospital between April 2019 and March 2021, who underwent nutritional assessment using the GLIM criteria. In November 2021, we collected the following data from electronic medical records: demographic, clinical, and laboratory data upon admission; nutritional data assessed using GLIM criteria; and data on final patient outcomes.

RESULTS

In this study, we included 9372 hospitalized patients who were identified to be at risk by the validated nutritional screening tools (50.6% men, median age 75.0 [67.0-82.0] years, 69.2% patients aged ≥70 years). The number of patients with no, moderate, and severe GLIM-defined malnutrition was 4145 (44.2%), 2799 (29.9%), and 2428 (25.9%), respectively. Kaplan-Meier survival curve analysis showed a significant increase in mortality with worsening nutritional status (log-rank test, P < 0.001). After adjusting for age and sex, multivariable Cox regression analysis revealed that both moderate (Hazard ratio [HR] 2.0, 95% confidence interval [CI] 1.79-2.23, P < 0.001) and severe malnutrition (HR 3.06, 95% CI 2.74-3.40, P < 0.001) were independent risk factors for mortality. Moreover, multivariable analysis showed that four of the five GLIM sub-criteria (except low body mass index) were independently associated with prognosis.

CONCLUSION

Malnutrition and its severity, routinely assessed using the GLIM criteria, are associated with high mortality in hospitalized patients at nutritional risk. Further research is needed to evaluate the usefulness of the GLIM sub-criteria, including low body mass index, in these patients.

The influence of the China GLIM standards on the diagnosis of malnutrition in patients with hematopoietic stem cell transplant

Background

The muscle-related indicator is removed from Global Leadership Initiative on Malnutrition (GLIM) criteria implemented in China for many reasons. Patients with hematopoietic stem cell transplants are at nutrition risk and can enter into the second step of GLIM; thus, they are suitable for learning the diagnosing malnutrition significance between primary GLIM and GLIM-China criteria. This article aims to explore the role of muscle mass in the diagnostic criteria of malnutrition and the effects of GLIM-China for diagnosing malnutrition.

Methods

A total of 98 inpatients with hematopoietic stem cell transplants (HSCT) were recruited. Nutrition risk was assessed by using the Nutritional Risk Screening 2002 (NRS-2002). Appendicular skeletal muscle mass (ASMI) and fat-free mass index (FFMI) were determined using the bioelectrical impedance analysis (BIA) method. Malnutrition is defined by GLIM-China, GLIM, and PG-SGA. We use erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) to assess inflammation in GLIM and GLIM-China. The correlation or consistency among ASMI, FFMI, ESR, CRP, GLIM-China, GLIM, and PG-SGA was evaluated, respectively.

Results

One hundred percent instead of the patients had nutritional risk. The magnitude of malnutrition using PG-SGA, GLIM, and GLIM-China was 75.5, 80.6, and 64.3%, respectively. GLIM-China and PG-SGA showed the same performance (p = 0.052 vs. 1.00) and agreement (kappa = 0.404 vs. 0.433, p < 0.0001) with the FFMI. Consistency was noted between ASMI and PG-SGA in the assessment of malnutrition (p = 0.664) with a good agreement (kappa = 0.562, p = 0.084). ASMI and FFMI could determine muscle mass reduction, which could not be determined by BMI, albumin (ALB), and pre-albumin (pre-ALB); 34% of GLIM-China (-) patients were with low ASMI, and 40% with low FFMI; 30.0% of patients with PG-SGA (<4) still have low ASMI, and 38.2% have low FFMI.

Conclusion

If only the PG-SGA scale is used as a diagnostic criterion for evaluating malnutrition, a large proportion of patients with reduced muscle mass will be missed, but more patients with muscle loss will be missed via GLIM-China. Muscle-related indicators will help diagnose malnutrition.

GLIM criteria using NRS-2002 and MUST as the first step adequately diagnose the malnutrition in Crohn's disease inpatients: A retrospective study

Objective

The Global Leader Initiative on Malnutrition (GLIM) criteria have been recommended for malnutrition diagnosis recently, for which the first step is malnutrition risk screening with any validated tool. This study aims to investigate the incidence of nutritional risk and malnutrition in Crohn's disease inpatients and compare the suitability of Nutritional Risk Screening 2002 (NRS-2002) and Malnutrition Universal Screening Tool (MUST) as the first-step screening tool for GLIM criteria.

Methods

We retrospectively analyzed the clinical data of Crohn's disease inpatients in our hospital from August 2016 to December 2019. NRS-2002 and MUST were used for nutritional screening at the time of admission. GLIM and Patient Generated-Subjective Global Assessment (PG-SGA) were used for malnutrition assessment, respectively. Patients without nutritional risk screened by NRS-2002 but with malnutrition risk screened by MUST were especially screened out. The appendicular skeletal muscle mass index (ASMI), fat-free mass index (FFMI), body fat percent (BFP), and body cell mass (BCM) were measured by the Biospace Inbody S10 composition analyzer.

Results

A total of 146 Crohn's disease patients were enrolled, of which 62.3 and 89.7% had nutritional or malnutrition risk according to NRS-2002 and MUST, respectively. The prevalence of malnutrition assessed by GLIM was 59.6% (87 cases) and 82.2% (120 cases) when NRS-2002 and MUST were used as the first step of GLIM respectively. Meanwhile, 99 patients (67.8%) had malnutrition when assessed by PG-SGA. There were 41 patients who were not at nutritional risk according to NRS-2002 but were at malnutrition risk determined by MUST. At last, 33 patients were GLIM-defined, and 16 patients were PG-SGA-defined malnutrition among the 41 patients.

Conclusion

The nutritional risk or malnutrition is common in Crohn's disease inpatients. It is recommended to use a variety of nutritional assessment tools for Crohn's disease inpatients. MUST can be used as a good supplement for the patients with a score of NRS-2002 lower than 3 in order to decrease the miss rate of GLIM-defined malnutrition.

Relationship between preoperative malnutrition, frailty, sarcopenia, body composition, and anthropometry in elderly patients undergoing major pancreatic and biliary surgery

Objective

To analyze the correlation between preoperative nutritional status, frailty, sarcopenia, body composition, and anthropometry in geriatric inpatients undergoing major pancreatic and biliary surgery.

Methods

This is a cross-sectional study of the database from December 2020 to September 2022 in the department of hepatopancreatobiliary surgery, Beijing Hospital. Basal data, anthropometry, and body composition were recorded. NRS 2002, GLIM, FFP 2001, and AWGS 2019 criteria were performed. The incidence, overlap, and correlation of malnutrition, frailty, sarcopenia, and other nutrition-related variables were investigated. Group comparisons were implemented by stratification of age and malignancy. The present study adhered to the STROBE guidelines for cross-sectional study.

Results

A total of 140 consecutive cases were included. The prevalence of nutritional risk, malnutrition, frailty, and sarcopenia was 70.0, 67.1, 20.7, and 36.4%, respectively. The overlaps of malnutrition with sarcopenia, malnutrition with frailty, and sarcopenia with frailty were 36.4, 19.3, and 15.0%. There is a positive correlation between every two of the four diagnostic tools, and all six p-values were below 0.002. Albumin, prealbumin, CC, GS, 6MTW, ASMI, and FFMI showed a significantly negative correlation with the diagnoses of the four tools. Participants with frailty or sarcopenia were significantly more likely to suffer from malnutrition than their control groups with a 5.037 and 3.267 times higher risk, respectively (for frailty, 95% CI: 1.715-14.794, p = 0.003 and for sarcopenia, 95% CI: 2.151-4.963, p<0.001). Summarizing from stratification analysis, most body composition and function variables were worsen in the ≥70 years group than in the younger group, and malignant patients tended to experience more intake reduction and weight loss than the benign group, which affected the nutrition diagnosis.

Conclusion

Elderly inpatients undergoing major pancreatic and biliary surgery possessed high prevalence and overlap rates of malnutrition, frailty, and sarcopenia. Body composition and function deteriorated obviously with aging.

A scoping review on the GLIM criteria for malnutrition diagnosis: Understanding how and for which purpose it has been applied in studies on hospital settings

AIMS

This scoping review aimed to identify and map the literature on malnutrition diagnosis made using the GLIM criteria in hospitalized patients.

METHODS

The scoping review was conducted using the Joanna Briggs Institute's methodology. We searched PubMed, Embase, Scopus, and Web of Science (until 16 April 2022) to identify studies based on the 'population' (adults or elderly patients), 'concept' (malnutrition diagnosis by the GLIM criteria), and 'context' (hospital settings) framework. Titles/abstracts were screened, and two independent reviewers extracted data from eligible studies.

RESULTS

Ninety-six studies were eligible (35.4% from China, 30.2% involving oncological patients, and 30.5% with prospective data collection), 32 followed the two-step GLIM approach, and 50 applied all the criteria. All the studies evaluated body mass index (BMI), while 92.7% evaluated weight loss; 77.1%, muscle mass; 93.8%, inflammation; and 70.8%, energy intake. A lack of details on the methods adopted for criterion evaluation was observed in five (muscle mass evaluation) to 40 studies (energy intake evaluation). The frequency of the use of the GLIM criteria ranged from 22.2% (frequency of low BMI) to 84.7% (frequency of inflammation), and the malnutrition prevalence ranged from 0.96% to 87.9%. Less than 30% of studies aimed to assess the GLIM criterion validity, eight studies cited the guidance on validation of the GLIM criteria, and a minority implemented it.

CONCLUSIONS

This map of studies on the GLIM criteria in hospital settings demonstrated that they are applied in a heterogeneous manner, with a wide range of malnutrition prevalence. Almost 50% of the studies applied all the criteria, while one-third followed the straightforward two-step approach. The recommendations of the guidance on validation of the criteria were scarcely adhered to. The gaps that need to be explored in future studies have been highlighted.

Malnutrition via GLIM Criteria in General Surgery Patients

Purpose: The purposes are to determine malnutrition in elective general surgery patients via GLIM criteria, compare GLIM criteria with NRS2002 and to determine the effect of malnutrition on Length of Stay (LoS). Materials and Methods: Malnutrition was detected with NRS2002 and GLIM. GLIM was evaluated in two different ways as 1-NRS2002 (first four questions) was used as a preliminary malnutrition screening tool for GLIM and 2-All patients were evaluated with GLIM without a preliminary assessment. Reduced muscle mass in GLIM, was assessed using different anthropometric measurements and cut-off points. In total, 10 different GLIM models were constituted. Data were collected within 48 hours of admission. Agreement between malnutrition tools was determined via Kappa. Logistic regression models were established to present the effect of malnutrition on long LoS. p

Validation of GLIM criteria on malnutrition in older Chinese inpatients

Objective

Malnutrition is a nutritional disorder and common syndrome that has a high incidence and is easily ignored in hospitalized older patients. It can lead to multiple poor prognoses, such as frailty. Early identification and correct evaluation of possible malnutrition and frailty are essential to improve clinical outcomes in older patients. Therefore, our objective was to explore the applicability and effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criteria for identifying malnutrition in older patients.

Methods

In total, 223 participants aged ≥60 years were involved. Nutrition was evaluated using the Mini Nutritional Assessment-Full Form (MNA-FF) and GLIM criteria, which adopt a two-step procedure. The first step was to use three different methods for the screening of nutritional risk: the Nutrition Risk Screening 2002, the Mini Nutritional Assessment Short Form (MNA-SF), and the Malnutrition Universal Screening Tool. The second step was to link a combination of at least one phenotypical criterion and one etiological criterion to diagnose malnutrition. The Clinical Frailty Scale was used to assess frailty. Sensitivity, specificity, Youden index, kappa values, and positive and negative predictive values were used to evaluate the validity of the GLIM criteria. Logistic regression models were used to assess whether there was a correlation between malnutrition, as defined by the GLIM criteria, and frailty.

Results

We found that 32.3–49.8% of our patient sample were at risk of malnutrition based on the GLIM diagnosis and using the three different screening tools; 19.3–27.8% of the patients were malnourished. GLIM criteria with MNA-SF as a diagnostic validation and MNA-FF as a reference showed high consistency (K = 0.629; p &lt; 0.001), sensitivity (90.5%), and specificity (86.4%). Logistic regression analysis showed that malnutrition, using MNA-SF with the GLIM criteria, was relevant for a higher likelihood of frailty (OR = 1.887; 95% CI 1.184–2.589).

Conclusions

The incidence of GLIM-defined malnutrition was 19.3–27.8% using different screening tools. The consistency between the GLIM criteria using the MNA-SF and the MNA methods was high. Malnutrition, as diagnosed by the GLIM criteria with MNA-SF, was significantly correlated with frailty. GLIM criteria with MNA-SF may be a more reliable malnutrition assessment process in older inpatients.

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor

Background: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients. Method: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014. Malnutrition was then retrospectively diagnosed using the GLIM and ESPEN 2015 criteria, respectively, for comparison with the results of the SGA scale. The risk factors for malnutrition were analyzed using logistic regression, and the value of the three diagnostic criteria in predicting the in-hospital complications was subsequently explored using multivariate regression and the random forest machine learning algorithm. Results: A total of 2526 subjects who met the inclusion and exclusion criteria of the study were selected from the 7122 patients in the dataset, with an average age of 74.63 ± 7.12 years, 59.2% male, and 94.2% married. According to the GLIM, SGA, and ESPEN 2015 criteria, the detection rates of malnutrition were 37.8% (956 subjects), 32.8% (829 subjects), and 17.0% (429 subjects), respectively. The diagnostic consistency between the GLIM and the SGA criteria is better than that between the ESPEN 2015 and the SGA criteria (Kappa statistics, 0.890 vs. 0.590). Logistic regression showed that the risk of developing complications in the GLIM-defined malnutrition patients is 2.414 times higher than that of normal patients, higher than those of the ESPEN 2015 and SGA criteria (1.786 and 1.745 times, respectively). The random forest classifications show that the GLIM criteria have a higher ability to predict complications in these elderly patients than the SGA and ESPEN 2015 criteria with a mean decrease in accuracy of 12.929, 10.251, and 5.819, respectively, and a mean decrease in Gini of 2.055, 1.817, and 1.614, respectively. Conclusion: The prevalence of malnutrition diagnosed with the GLIM criteria is higher than that of the SGA and the ESPEN 2015 criteria. The GLIM criteria are better than the SGA and the ESPEN 2015 criteria for predicting in-hospital complications in elderly patients.

Preoperative Anemia Is a Predictor of Worse Postoperative Outcomes Following Open Pancreatoduodenectomy: A Propensity Score-Based Analysis

Background

Preoperative anemia is a common clinical situation proved to be associated with severe outcomes in major surgeries, but not in pancreatic surgery. We aim to study the impact of preoperative anemia on morbidity and mortality in patients undergoing open pancreatoduodenectomy and use propensity score matching (PSM) to balance the basal data and reduce bias.

Methods

We analyzed the data of consecutive patients undergoing open pancreatoduodenectomy with a complete record of preoperative hemoglobin, at two pancreatic centers in China between 2015 and 2019. Anemia is defined as hemoglobin less than 12 g/dl for male and 11 g/dl for female, following Chinese criteria. We compared clinical and economic outcomes before and after PSM and used logistic regression analysis to assess the correlation between variables and anemia.

Results

The unmatched initial cohort consisted of 517 patients. A total of 148 cases (28.6%) were diagnosed with anemia at admission, and no case received a preoperative blood transfusion or anti-anemia therapy. After PSM, there were 126 cases in each group. The rate of severe postoperative complications was significantly higher in the anemia group than in the normal group (43.7% vs. 27.0%, p = 0.006), among which the differences in prevalence of clinically relevant postoperative pancreatic fistula (CR-POPF) (31.0% vs. 15.9%, p = 0.005) and cardiac and cerebrovascular events (4.0% vs. 0.0%, p = 0.024) were the most significant. The costs involved were more in the anemia group (26958.2 ± 21671.9 vs. 20987.7 ± 10237.9 USD, p = 0.013). Among anemic patients, receiver operating characteristic (ROC) curve analysis shows the cut-off value of hemoglobin, below which, patients are prone to suffer from major complications (104.5 g/l in male and 90.5 g/l in female). Among all patients, multivariate analysis showed that preoperative obstructive jaundice [odds ratio (OR) = 1.813, 95% confidence interval (CI) (1.206–2.725), p = 0.004] and pancreatic ductal adenocarcinoma [OR = 1.861, 95% CI (1.178–2.939), p = 0.008] were predictors of anemia. Among paired patients, preoperative anemia [OR = 2.593, 95% CI (1.481–5.541), p = 0.001] and malignant pathology [OR = 4.266, 95% CI (1.597–11.395), p = 0.004] were predictors of postoperative severe complications.

Conclusion

Preoperative anemia is a predictor of worse postoperative outcomes following open pancreatoduodenectomy and needs to be identified and treated.

Management of Malnutrition Based on Multidisciplinary Team Decision-Making in Chinese Older Adults (3M Study): A Prospective, Multicenter, Randomized, Controlled Study Protocol

Background

In hospital settings, malnutrition affects 30-50% of aged inpatients and is related to a higher risk of hospital complications and death. This study aims to demonstrate the effectiveness of a tailored optimum nutritional therapy in malnourished, elderly inpatients based on multidisciplinary team recommendations in hopes of decreasing the incidence of deleterious clinical outcomes.

Methods and Design

This trial will be a multicenter, open-label, randomized control trial conducted in the geriatric wards of at least five hospitals in five different regions. We aim to include 500 inpatients over the age of 60 with or at risk of malnutrition based on a Mini Nutritional Assessment Short-Form (MNA-SF) score of ≤ 11 points and the Global Leadership Initiative on Malnutrition with an expected length of stay of ≥ 7 days. Eligible inpatients will be randomized into a 1:1 ratio, with one receiving a multidisciplinary team intervention and the other receiving standard medical treatment or care alone. A structured comprehensive assessment of anthropometry, nutritional status, cognition, mood, functional performance, and quality of life will be conducted twice. These assessments will take place on the day of group allocation and 1 year after discharge, and a structured screening assessment for elderly malnutrition will be conducted at 3 and 6 months after discharge using the MNA-SF. The primary outcome will be nutritional status based on changes in MNA-SF scores at 3, 6 months, and 1 year. The secondary outcome will be changes in cognition, mood, functional status, length of hospital stay, and all-cause mortality 1 year after discharge.

Discussion

Guided by the concept of interdisciplinary cooperation, this study will establish a multidisciplinary nutrition support team that will develop an innovative intervention strategy that integrates nutritional screenings, evaluations, education, consultation, support, and monitoring. Moreover, nutritional intervention and dietary fortification will be provided to hospitalized elderly patients with or at risk of malnutrition. The nutrition support team will formulate a clinical map for malnutrition in elderly patients with standardized diagnosis and treatment for malnutrition in this population.

Clinical Trial Registration

[www.ClinicalTrials.gov], identifier [ChiCTR2200055331].

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

BACKGROUND & AIMS

The Global Leadership Initiative on Malnutrition (GLIM) recently suggested specific criteria to standardize the diagnosis of malnutrition. There is need for validation of these criteria regarding response to nutrition treatment. Our aim was to validate modified GLIM (mGLIM) criteria among medical inpatients at risk of disease related malnutrition for prediction of outcome and response to nutritional therapy.

METHODS

This is a secondary analysis of the Effect of Early Nutritional Support on Frailty, Functional Outcomes, and Recovery of Malnourished Medical Inpatients Trial (EFFORT), a multicenter randomized controlled trial conducted between April 2014 and February 2018. Adult medical inpatients at nutritional risk (Nutrition Risk Score 2002 ≥ 3 points) were randomly assigned to receive nutritional therapy according to an algorithm based on individualized nutritional requirements (intervention group) or standard hospital food (control group). We included all participants with available information regarding mGLIM criteria. The primary outcome was adverse clinical outcome, which was a composite of 30-day all-cause mortality, ICU-admission, rehospitalization rate, major complications and decline in functional status.

RESULTS

Of 1917 eligible participants at nutritional risk, 1181 (61.6%) met the diagnosis of malnutrition based on mGLIM criteria. The incidence of adverse clinical outcome was significantly higher in mGLIM-positive participants compared with mGLIM-negative participants [330/1181 (27.9%) versus 140/736 (19.0%); multivariable adjusted odds ratio [OR] 1.53; 95% CI 1.22-1.93; p < 0.001]. Regarding the effect of nutritional therapy, the reduction in adverse clinical outcomes was higher in mGLIM-positive participants [180/581 (31.0%) vs. 150/600 (25.0%), OR 0.69; 95% CI 0.53-0.9, p = 0.007], compared with mGLIM-negative participants [75/379 (19.8%) versus 65/357 (18.2%), OR 0.95; 95% CI 0.65-1.40, p = 0.797], a finding that was, however, not significant in interaction analysis (p for interaction = 0.217).

CONCLUSION

Data from this secondary analysis of a multicenter randomized trial involving medical inpatients at nutritional risk validate the strong prognostic value of mGLIM criteria regarding adverse clinical outcomes and other long-term outcomes. However, further research is needed to improve the ability of GLIM criteria to predict therapeutic response to nutritional interventions.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02517476.

Influence of Malnutrition According to the GLIM Criteria on the Clinical Outcomes of Hospitalized Patients With Cancer

Background: Malnutrition is prevalent among patients with cancer. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing malnutrition in 2019. The objectives of this study were to assess the prevalence of malnutrition in patients with cancer using the GLIM criteria, explore the correlation between the GLIM criteria, and clinical outcomes, and compare the GLIM criteria with subjective global assessment (SGA).

Methods: This retrospective analysis was conducted on 2,388 patients with cancer enrolled in a multicenter study. Nutritional risk was screened using the Nutritional Risk Screening-2002, and the nutritional status was assessed using SGA and GLIM criteria. Chi-square analysis and Wilcoxon rank sum test, stratified by age 65 years, were used to evaluate the effect of GLIM-defined malnutrition on clinical outcomes. Logistic regression analysis was used to analyze the nutritional status and complications, and the interrater reliability was measured using a kappa test.

Results: The prevalence of malnutrition defined by the GLIM criteria was 38.9% (929/2,388). GLIM-defined malnutrition was significantly associated with in-hospital mortality (P = 0.001) and length of hospital stays (P = 0.001). Multivariate logistic regression analysis showed GLIM-defined malnutrition significantly increased complications (odds ratio [OR] 1.716, 95% CI 1.227–2.400, P = 0.002). The GLIM criteria had a “moderate agreement” (kappa = 0.426) compared with the SGA.

Conclusions: The prevalence of malnutrition in hospitalized patients with cancer is high, and malnourishment in patients with cancer is associated with poorer clinical outcomes. The use of the GLIM criteria in assessing the nutritional status of inpatients with cancer is recommended and can be used as the basis for nutritional interventions.

Calf Circumference and All-Cause Mortality: A Systematic Review and Meta-Analysis Based on Trend Estimation Approaches

OBJECTIVES

To perform a systematic review and meta-analysis and quantify the associations of total mortality with calf circumference (CC) in adults 18 years and older via combining various analyses based on empirical dichotomic CC, continuous CC, and dose-response CC.

METHODS

We conducted a systematic search of relevant studies in PubMed, EMBASE, Cochrane Library, and Web of Science published through April 12, 2022. This systematic review includes longitudinal observational studies reporting the relationships of total mortality with CC. We calculated the pooled relative risk (RR) and 95% confidence interval (CI) of total mortality with CC per 1 cm for each study and combined the values using standard meta-analysis approaches. Newcastle-Ottawa scale (NOS), Grading of Recommendations, Assessment, Development and Evaluations approach (GRADE), and the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN) were assessed for meta-analyses.

RESULTS

Our analysis included a total of 37 cohort studies involving 62,736 participants, across which moderate heterogeneity was observed (I2=75.7%, P<0.001), but no publication bias was found. Study quality scores ranged from 6 to 9 (mean 7.7), with only three studies awarded a score of 6 (fair quality). We observed an inverse trend between total death risk and CC per 1 cm increase (RR, 0.95, 95% CI, 0.94-0.96; P<0.001; GRADE quality=high). Only a very slight difference was found among residents of nursing homes (6.9% mortality risk reduction per one cm CC increase), community-dwellers (5.4%), and those living in hospitals (4.8%), respectively (P for meta-regression=0.617). Low credible subgroup difference was found based on the ICEMAN tool.

CONCLUSIONS

Calf circumference is a valid anthropometric measure for mortality risk prediction in a community, nursing home, or hospital.

Applicability of the GLIM criteria for the diagnosis of malnutrition in older adults in the emergency ward: A pilot validation study

BACKGROUND & AIMS

Acutely ill older adults are at higher risk of malnutrition. This study aimed to explore the applicability and accuracy of the GLIM criteria to diagnose malnutrition in acutely ill older adults in the emergency ward (EW).

METHODS

We performed a retrospective secondary analysis, of an ongoing cohort study, in 165 participants over 65 years of age admitted to the EW of a Brazilian university hospital. Nutrition assessment included anthropometry, the Simplified Nutritional Assessment Questionnaire (SNAQ), the Malnutrition Screening Tool (MST), and the Mini-Nutritional Assessment (MNA). We diagnosed malnutrition using GLIM criteria, defined by the parallel presence of at least one phenotypic [nonvolitional weight loss (WL), low BMI, low muscle mass (MM)] and one etiologic criterion [reduced food intake or assimilation (RFI), disease burden/inflammation]. We used the receiver operating characteristic (ROC) curves and Cox and logistic regression for data analyses.

RESULTS

GLIM criteria, following the MNA-SF screening, classified 50.3% of participants as malnourished, 29.1% of them in a severe stage. Validation of the diagnosis using MNA-FF as a reference showed good accuracy (AUC = 0.84), and moderate sensitivity (76%) and specificity (75.1%). All phenotypic criteria combined with RFI showed the best metrics. Malnutrition showed a trend for an increased risk of transference to intensive care unit (OR = 2.08, 95% CI 0.99, 4.35), and severe malnutrition for in-hospital mortality (HR = 4.23, 95% CI 1.2, 14.9).

CONCLUSION

GLIM criteria, following MNA-SF screening, appear to be a feasible approach to diagnose malnutrition in acutely ill older adults in the EW. Nonvolitional WL combined with RFI or acute inflammation were the best components identified and are easily accessible, allowing their potential use in clinical practice.

Several anthropometric measurements and cancer mortality: predictor screening, threshold determination, and joint analysis in a multicenter cohort of 12138 adults

BACKGROUND

Anthropometric measurements (AMs) are cost-effective surrogates for evaluating body size. This study aimed to identify the optimal prognostic AMs, their thresholds, and their joint associations with cancer mortality.

METHODS

We performed an observational cohort study including 12138 patients with cancer at five institutions in China. Information on demographics, disease, nutritional status, and AMs, including the body mass index, mid-arm muscle circumference, mid-arm circumference, handgrip strength, calf circumference (CC), and triceps-skinfold thickness (TSF), was collected and screened as mortality predictors. The optimal stratification was used to determine the thresholds to categorize those prognostic AMs, and their associations with mortality were estimated independently and jointly by calculating multivariable-adjusted hazard ratios (HRs).

RESULTS

The study included 5744 females and 6394 males with a mean age of 56.9 years. The CC and TSF were identified as better mortality predictors than other AMs. The optimal thresholds were women 30 cm and men 32.8 cm for the CC, and women 21.8 mm and men 13.6 mm for the TSF. Patients in the low CC or low TSF group had a 13% (HR = 1.13, 95% CI = 1.03-1.23) and 22% (HR = 1.22, 95% CI = 1.12-1.32) greater mortality risk compared with their normal CC/TSF counterparties, respectively. Concurrent low CC and low TSF showed potential joint effect on mortality risk (HR = 1.39, 95% CI = 1.25-1.55).

CONCLUSIONS

These findings support the importance of assessing the CC and TSF simultaneously in hospitalized cancer patients to guide interventions to optimize their long-term outcomes.

A critical analysis of the methodological processes applied in the studies using the Global Leadership Initiative on Malnutrition

ABSTRACT Although hospital malnutrition is highly prevalent worldwide, it is difficult to compare the data due to the different nutritional assessment tools used. The Global Leadership Initiative on Malnutrition, which aims to operationalize malnutrition diagnosis, consists of five criteria: three phenotypic and two etiological criteria. Many researchers have studied the applicability and clinical relevance of Global Leadership Initiative on Malnutrition, and methodological standards have been established by the Global Leadership Initiative on Malnutrition commission for the application and possible validation of the tool. This study aimed to analyze the methodological processes of the studies that compared the Global Leadership Initiative on Malnutrition with a test tool. A literature review was conducted by the Portal Periódicos from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior between November 2020 and January 2021. This review included articles published in English between 2016 and 2021 that compared the Global Leadership Initiative on Malnutrition with another tool used for diagnosing malnutrition. The sample had 13 articles, of which 11 did not adequately describe how the Global Leadership Initiative on Malnutrition criteria were applied. Only two studies utilized a combination of the phenotypic and etiological criteria. Some studies differed from the methodological recommendations of the Global Leadership Initiative on Malnutrition commission. Thus, it seems that applying the Global Leadership Initiative on Malnutrition in a manner different from the original framework elicited limited results regarding the applicability and reliability of the tool. Therefore, more studies should be conducted on the application of the GLIM Global Leadership Initiative on Malnutrition in different populations and contexts as per the patterns suggested to determine its actual applicability and reliability.

Nutritional Assessment in Older Adults : MNA® 25 years of a Screening Tool and a Reference Standard for Care and Research; What Next?

A tool to assess nutritional status in older persons was really needed. It took 5 years to design the MNA® (Mini Nutrition Assessment) tool, complete the first validations studies both in Europe and in the U.S. and to publish it. After the full MNA®, the MNA® short form and the self-MNA® have been validated. As well as Chinese and other national MNA® forms. Now more than 2000 clinical research have used the MNA® all over the world from community care to hospital. At least 22 Expert groups included the MNA® in new clinical practice guidelines, national or international registries. The MNA® is presently included in almost all geriatric and nutrition textbook and part of the teaching program for medicine and other health care professional worldwide. The urgent need is to target the frail older adults more likely to have weight loss and poor appetite and to prevent frailty and weight loss in the robust. We present in this paper the review of 25 years of clinical research and practice using the MNA® worldwide.

Total Psoas Area Index is Valuable to Assess Sarcopenia, Sarcopenic Overweight/Obesity and Predict Outcomes in Patients Undergoing Open Pancreatoduodenectomy

BACKGROUND AND AIM

Sarcopenia has been proven to be a risk factor after pancreatoduodenectomy (PD). We aimed to evaluate if decreased psoas muscle area and density shown in CT scan, as measures for sarcopenia, were associated with postoperative major complications and adverse outcomes in patients who underwent PD.

PATIENTS AND METHODS

We analyzed 152 consecutive patients who underwent open PD. Total psoas area and muscle attenuation were measured on CT images at the level of the third lumbar vertebra. Total psoas area index (TPAI) was calculated, the cut-off values of TPAI were estimated and validated. The relationship between radiographic characters and outcomes was analyzed.

RESULTS

The optimal cut-off values of TPAI were 4.78 cm2/m2 for males and 3.46 cm2/m2 for females. The values were validated by outcomes with significant differences in the rate of major complications, re-operation, length of stay, and total cost. The prevalence of TPAI-defined sarcopenia and sarcopenic overweight/obesity was 38.8% and 17.1% in total. In multivariate logistic regression, rate of major complications was associated with TPAI [OR=0.605, 95% CI (0.414, 0.883), P=0.009], TPAI-defined sarcopenia [OR=8.256, 95% CI (2.890, 23.583), P=0.000] and sarcopenic overweight/obesity [OR=7.462, 95% CI (2.084, 26.724), P=0.002]; meanwhile, NRS2002-defined nutritional risk and GLIM-defined malnutrition did not show relationship with major complications.

CONCLUSION

Both sarcopenia and sarcopenic overweight/obesity determined by new TPAI cut-off values were associated with a higher rate of major complications and adverse outcomes in Chinese patients undergoing open PD whereas usual nutritional assessment was not.