Cachexia is a multifaceted metabolic disorder often linked to chronic illnesses, characterized by substantial weight reduction, inflammatory states, and loss of appetite. The novel diagnostic criteria concerning cachexia established by the Asian Working Group for Cachexia (AWGC) have not been fully validated in Chinese populations with cirrhosis. To assess the prognostic impact of AWGC-defined cachexia among hospitalized cirrhotic patients and explore the synergistic impact of Model for End-Stage Liver Disease 3.0 (MELD 3.0) scores with cachexia status on prognosis.

We retrospectively analyzed clinical data from patients with decompensated cirrhosis admitted to our tertiary hospital between January 2021 and December 2023. Cachexia was identified according to AWGC criteria, and disease severity was assessed using MELD 3.0 scores. The study's primary outcome was all-cause mortality within one year.

A total of 368 patients were included in the analyses. The prevalence of cachexia was 61.7 %, and patients with cachexia had a significantly higher one-year all-cause mortality rate (26.4 % vs. 7.8 %, P < 0.001). Multivariate Cox regression analysis showed that cachexia (HR 2.68, 95 %CI 1.40-5.13, P = 0.003), along with MELD 3.0 (HR 1.18, 95 %CI 1.13-1.23, P < 0.001), were independent predictors of one-year mortality. The combined assessment of cachexia and MELD 3.0 scores yielded a higher discriminative ability for predicting one-year mortality compared to either metric alone.

AWGC-defined cachexia is a significant prognostic factor in hospitalized patients with cirrhosis. The integration of cachexia with MELD 3.0 scoring enhances prognostic prediction, underscoring the importance to introduce cachexia evaluation during clinical practice for this vulnerable setting.

The Global Leadership Initiative on Malnutrition (GLIM) criteria, proposed in 2018, provide universal diagnostic standards for malnutrition, a known risk factor for postoperative complications in patients with various cancers. However, its impact on surgery for biliary tract cancer (BTC) remains unclear. This study evaluates the relationship between GLIM-defined malnutrition and postoperative complications after resection for BTC.

The subjects of this retrospective study were patients who underwent pancreaticoduodenectomy or major hepatectomy with extrahepatic bile duct resection for BTC between January, 2013 and December, 2021. The comprehensive complication index (CCI), an indicator of postoperative complications, was calculated based on the total number and severity of postoperative complications.

GLIM-defined malnutrition was diagnosed in143 (71.1%) of the total 201 patients. The median CCI was significantly higher in the GLIM-defined malnutrition group than in the non-malnutrition group (37.2 vs. 28.3; P < 0.001). Multivariate logistic regression analysis revealed that GLIM-defined malnutrition (odds ratio 2.87 [95% confidence interval 1.38-5.96], P = 0.005) and intraoperative blood loss > 1,000 mL (odds ratio 3.77 [95% confidence interval 1.06-13.47], P = 0.041) were independent predictors of high morbidity (CCI ≥ 37.1).

Preoperative GLIM-defined malnutrition was closely associated with increased postoperative complications in patients who underwent resection for BTC.

Malnutrition is highly prevalent but under-recognized in hospitalized older adults, which is closely related to increased risk of adverse clinical outcomes and mortality. It is crucial to identify high-risk individuals at an early stage and manage them promptly. This study aimed to explore the predictive factors and develop a nomogram model for predicting the risk of malnutrition in hospitalized elderly patients.

We conducted a retrospective study of data collected from 456 older individuals admitted to geriatric wards from four hospitals in China between August 2020 and December 2020 (136 in the malnutrition group and 320 in the non-malnutrition group). Least Absolute Selection and Shrinkage Operator (LASSO) regression and stepwise multivariate logistic regression were applied to screen predictors and create a nomogram. The predictive performance of the model was assessed by receiver operating characteristic (ROC) curve, concordance index (C-index) and calibration curve. The clinical utility was estimated by decision curve analysis (DCA). Youden's Index was used to identify the optimal cut-point of the nomogram.

Four independent predictive factors were utilized to construct the nomogram model after being selected by LASSO regression and multivariate logistic regression, namely body mass index (BMI), heart failure, frailty and hemoglobin. C-index of the model was 0.906 (95% CI: 0.872-0.939) and the area under the curve (AUC) was 0.906. The optimal cut-point of the nomogram was 82.74 with a sensitivity of 78.7% and specificity of 92.2% (Youden's index: 0.709). The calibration curve demonstrated a high degree of consistency between predicted probability and actual observation. The DCA indicated a favorable clinical benefit for the nomogram.

We have established a multi-dimensional nomogram model to predict the risk of malnutrition in Chinese hospitalized older adults. The model yields favorable predictive performance and clinical utility, which provides an effective approach for rapid identification of high-risk malnourished older individuals in clinical practice.

There is no gold standard tool for nutritional assessment in critically ill patients. The modified Nutrition Risk in Critically Ill (mNUTRIC) score assesses risk of future malnutrition, whereas the Global Leadership Initiative on Malnutrition (GLIM) criteria diagnose only current malnutrition.

We aimed to evaluate the prognostic performance of a novel nutritional assessment tool that combines the mNUTRIC score and GLIM criteria for hospital outcomes among intensive care unit (ICU) patients.

A single-center, retrospective observational cohort study was conducted on patients admitted to the ICU between 1 August, 2018, and 7 June, 2021. The novel tool was categorized into 4 groups: group 1: low risk (0-4 points) by mNUTRIC plus no malnutrition from the GLIM; group 2: low risk plus moderate malnutrition or high risk (5-9 points) plus no malnutrition; group 3: high risk plus moderate malnutrition or low risk plus severe malnutrition; and group 4: high risk plus severe malnutrition.

A total of 724 patients were enrolled. The in-hospital mortality rates for groups 1-4 were 3%, 16%, 32%, and 52%, respectively. A poor nutritional status by the novel nutritional assessment tool was an independent risk factor for in-hospital mortality when compared with group 1, particularly as patients progressed to group 4 (odds ratio: 2.32; 95% confidence interval: 1.84, 2.93). In the receiver operating characteristic (ROC) analysis, the novel tool demonstrated the strongest prognostic performance for in-hospital mortality (area under the ROC curve: 0.759; 95% CI: 0.723, 0.795) compared with validated severity scoring systems and other significant risk factors such as use of mechanical ventilation.

This novel nutritional assessment tool has strong prognostic value in being associated with in-hospital mortality. Prospective validation with an external dataset is warranted. A comprehensive nutritional assessment of the current status and future risk at ICU admission could be the most critical factor in assessing the prognosis of critically ill patients.

To investigate the impact of textbook outcome (TO) achievement on survival post-liver resection for hepatocellular carcinoma (HCC) and explore the associated factors.

We retrospectively reviewed 330 patients diagnosed with HCC who underwent initial liver resection at our hospital between January 2011 and December 2019. We also investigated the achievement rates of five TOs and sub-analyzed the relationship between them and malnutrition. The patient's nutritional status was classified following the Global Leadership Initiative on Malnutrition (GLIM) criteria.

The TO achievement rate was 72.7%. In the prognostic analysis, the TO-achieving group showed significantly longer overall survival (OS) and recurrence-free survival (RFS). Significant differences in age, body mass index, weight loss, muscle mass, serum aspartate aminotransferase level, serum protein induced by vitamin K absence or antagonist-II, tumor characteristics, intraoperative blood loss, perioperative transfusion, and nutritional status were found between the groups.

TO achievement is associated with OS and RFS post-liver resection for HCC. The TO is valuable for evaluating treatment quality in liver resection. Additionally, malnutrition graded following the GLIM criteria, age, tumor stage, and intraoperative blood loss are independent factors for achieving a TO post-liver resection for HCC.

The purpose of this study is to determine the effect of preoperative nutritional status on the severity of postoperative dysphagia in recipients undergoing lung transplantation (LTx).

A retrospective analysis was conducted. Preoperative nutritional status was assessed using the Controlling Nutritional Status (CONUT) score and the Global Leadership Initiative on Malnutrition (GLIM) criteria. Dysphagia on postoperative day 14 was evaluated using the Functional Oral Intake Scale (FOIS). Study variables included age, sex, type of LTx, duration of intensive care unit stay, duration of mechanical ventilation use, duration of surgery, tracheostomy, extracorporeal membrane oxygen therapy (ECMO), pulmonary arterial hypertension (PAH), CONUT score, and GLIM criteria. Binary logistic regression (BLR) was used to assess independent factors.

Among 65 recipients (31 females, mean age 43.4 ± 12.0 years), postoperative dysphagia (n = 39) was associated with younger age (P < 0.001), female sex (P = 0.026), double LTx (P < 0.001), longer ICU stay (P < 0.001), longer mechanical ventilation use (P < 0.001), longer duration of surgery (P < 0.001), need of tracheostomy (P < 0.001), use of ECMO (P < 0.001), PAH diagnosis (P = 0.005), higher CONUT score (P < 0.001), and malnutrition by GLIM criteria (P = 0.031). Preoperative CONUT score was the only independent factor by BLR (P = 0.026, OR = 0.221, 95% CI: 0.059-0.837).

Our findings suggest that preoperative nutritional status may be important for the preservation of postoperative swallowing function in LTx.

Muscle loss not only reduce the effectiveness of the recovery period of rehabilitation after stroke but also prolongs the length of hospital stay. Therefore, it is crucial to maintain muscle mass during the hyperacute phase of stroke. We aimed to investigate the factor that influence changes in muscle mass and quality in patients with hyperacute stroke by using a body composition analyzer.

Body composition assessment was performed on 156 patients admitted to the stroke care unit at the time of admission and 1 week later. Additionally, associations between rehabilitation intervention time, nutritional dosage and administration method, and stroke severity were examined to which factors were affecting body composition.

Muscle mass and quality significantly decreased in both men (SMI: 7.41 ± 1.26 to 7.22 ± 1.23 kg/m2, p < 0.005, phA: 5.5 ± 1.24 to 5.31 ± 1.29 degree, p < 0.005) and women (SMI: 6.04 ± 1.30 to 5.08 ± 1.20 kg/m2, p < 0.005, phA: 4.58 ± 0.85 to4.18 ± 0.82 degree, p < 0.005)1 week after admission. Rehabilitation intervention time [odds ratio (OR) = 2.12; 95% CI: 1.28-4.47, p = 0.01], and high calorie dosage (OR = 1.53; 95% CI: 1.14-3.21, p = 0.03) significantly reduced the loss of muscle mass. However, stroke severity did not affect variations in body composition.

Deterioration in muscle mass and quality was observed during the hyperacute phase of stroke. The risk of muscle mass loss may be reduced with appropriate rehabilitation intervention and diet therapy from the early stage of hospitalization. Therefore, providing early rehabilitation intervention and nutritional management in the hospitalization phase are important to improve treatment effectiveness. In hyperacute stroke treatment, rehabilitation and nutritional administration should be provided as early as possible.

https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000053017, identifier UMIN-CTR UMIN000046467.

Depressive mood is prevalent in geriatric patients who undergo rehabilitation. Malnutrition, which frequently coexists in this demographic group, likely affects mental health status significantly. This study examined the association between malnutrition and depressive mood at discharge in geriatric patients who were undergoing rehabilitation and identified the mediating roles of specific malnutrition components in this association.

This prospective cohort study comprised 189 geriatric rehabilitation patients. Malnutrition was determined using the Global Leadership Initiative on Malnutrition (GLIM) criteria, and depressive mood was assessed using the Geriatric Depression Scale-15 (GDS-15). The potential mediation of the GLIM components in the relationship between malnutrition and depressive mood was evaluated using causal mediation analysis.

Malnutrition was positively associated with increased GDS-15 scores at both admission (p = 0.007) and discharge (p < 0.001). The severity of malnutrition corresponded with increased odds of depressive mood at discharge (moderate malnutrition: odds ratio [OR] 3.84, 95% confidence interval [CI] 1.48-9.94, p = 0.005; severe malnutrition: OR 5.11, 95% CI 1.52-15.17, p = 0.003). Notably, both muscle mass reduction (OR 1.51, 95% CI 1.01-2.27, p = 0.042) and disease burden (OR 1.37, 95% CI 1.00-1.89, p = 0.047) were identified as mediators in the association between malnutrition and depressive mood at discharge.

Nutritional status significantly influenced the mental health of geriatric rehabilitation patients, with muscle mass reduction and disease burden mediating this relationship. These findings emphasize the importance of a multidimensional geriatric rehabilitation approach that includes nutritional interventions.

Patients with Crohn's disease (CD) commonly experience malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria, a novel approach to assessing malnutrition, has been validated in some diseases. However, there are limited studies in CD patients. This study aimed to investigate the applicability and effectiveness of the simplified GLIM criteria for evaluating the nutritional status of patients with Crohn's disease. Additionally, it sought to evaluate the correlation between malnutrition defined by simplified GLIM and clinical outcomes.

A retrospective cohort study was conducted with 386 patients with CD. Data were extracted from the medical records, including demographic and clinical characteristics. All patients were evaluated using the simplified GLIM criteria. The prevalence of malnutrition was reported and the relationship between malnutrition and clinical outcome was analyzed.

The prevalence of malnutrition among patients with CD was 73.6%, with 36.5% classified as moderate malnutrition and 37.0% classified as severe malnutrition. The malnourished group had significantly higher Crohn's Disease Activity Index (CDAI) scores compared to the non-malnourished group (p < 0.001). Furthermore, the malnutrition group exhibited significantly lower levels of specific nutritional indicators, including hemoglobin (p = 0.040), albumin (p = 0.015), and prealbumin (p = 0.021). The median duration of follow-up in the cohort was 15.2 weeks. The results indicated that malnutrition, as assessed by simplified GLIM, independently influenced endoscopic remission (p = 0.033). Additionally, the duration of disease (p = 0.021), C-reactive protein (p = 0.014) and prealbumin (p = 0.014) were independent factors influencing endoscopic remission in patients with CD.

Malnutrition identified using the simplified GLIM criteria is associated with age, CDAI, behavior, hemoglobin, and albumin, providing prognostic value for endoscopic remission in CD patients.

Limited evidence exists on the association between malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospitalized acute care patients and their outcomes; several aspects still require clarification. This study aimed to evaluate the relationship between malnutrition, as defined by the GLIM criteria, at the time of acute hospital admission and discharge to home.

This retrospective observational study was conducted at a hospital that provides acute care in Japan. Adult patients admitted between July 2023 and April 2024 were included in this study. The primary outcome was the number of patients discharged to home, with in-hospital mortality as the secondary outcome. To ensure the reliability of the cohort-wide results, background factors were adjusted using propensity score matching. The two groups were compared based on the presence or absence of malnutrition, as defined by the GLIM criteria at admission. Furthermore, multiple logistic regression analysis was conducted, with the outcome as the dependent variable and malnutrition, diagnosed using the GLIM criteria, as the explanatory variable, adjusting for covariates.

A total of 1007 patients were included in the final analysis, of whom 492 (49 %) were diagnosed without malnutrition, while 515 (51 %) were diagnosed with malnutrition according to the GLIM criteria. In the multivariate logistic regression analysis after matching, malnutrition defined by the GLIM criteria emerged as an independent factor associated with discharge to home (odds ratio [OR] = 0.37, 95 % confidence interval = 0.25-0.56, P < 0.001) when adjusting for age, sex, and various comorbidities. Among the GLIM sub-criteria, reduced muscle mass, reduced food intake or assimilation, and disease burden or inflammation were independently associated with discharge to home. Notably, disease burden/inflammation exhibited the lowest OR among the GLIM sub-criteria for discharge.

Malnutrition diagnosed using the GLIM criteria upon admission in patients admitted to a regional hospital providing acute care was associated with decreased rates of discharge to home and increased in-hospital mortality. Specifically, attention should be paid to the criteria for reduced muscle mass and disease burden or inflammation within the GLIM framework.

Hospital malnutrition has high prevalence and is associated with worse clinical outcomes. The lack of standardized nutritional screening prompted the creation of the CIPA screening tool. Several studies have shown that the phase angle (PA) is associated with increased nutritional risk and worse clinical outcomes. The aim of this study was to establish the concordance between the CIPA and GLIM criteria and to assess their correlation with PA values and clinical outcomes.

A cross-sectional single-center study was carried out, with a prospective six-month follow-up for the prognostic variables. On admission, the CIPA and GLIM criteria and bioimpedanciometry were assessed.

A total of 510 inpatients were included; 36.5% had positive CIPA outcomes and 46.1% had positive GLIM outcomes. The correlation between the CIPA and GLIM criteria had a kappa index of 0.26, p < 0.01. Those with positive CIPA had a higher mortality risk (OR = 1.81) and longer mean length of stay (MLS) (OR = 1.45). The PA cut-off points were determined by sex and age for CIPA (men > 65 years: 4.75°, men ≤ 65 years: 5.75°, women > 65 years: 4.75°, and women ≤ 65 years: 5.45°) and GLIM (men > 65 years: 4.95°, men ≤ 65 years: 5.85°, women > 65 years: 4.75°, and women ≤ 65 years: 5.55°). These PA cut-off points were associated with worse clinical outcomes with CIPA (mortality OR = 4.2; MLS OR = 1.51; readmissions OR = 2.28) and GLIM (mortality OR = 2.97; MLS OR = 2.61; readmissions OR = 1.79).

CIPA screening shows a low correlation with GLIM nutritional assessment. Positive CIPA and GLIM have lower PAs than negative and worse prognostic outcomes. The PA cut-off points associated with worse outcomes have been established.

Malnutrition often occurs in patients with colorectal cancer. This study aims to develop a predictive model based on GLIM criteria for patients with colorectal cancer who underwent radical surgery.

From December 2015 to May 2021, patients with colorectal cancer who underwent radical surgery at our center were recruited for this study. We prospectively collected data on GLIM-defined malnutrition and other clinicopathological characteristics. Using Cox regeneration, we developed a novel nomogram for prognostic prediction, which was validated and compared to traditional nutritional factors for predictive accuracy.

Among the 983 patients enrolled in this study, malnutrition was identified in 233 (23.70%) patients. Multivariate analysis indicated that GLIM-defined malnutrition is the independent risk factor for overall survival (HR = 1.793, 95% CI = 1.390-2.313 for moderate malnutrition and HR = 3.485, 95% CI = 2.087-5.818 for severe malnutrition). The novel nomogram based on the GLIM criteria demonstrated a better performance than existing criteria, with AUC of 0.729, 0.703, and 0.683 for 1-year, 3-year, and 5-year OS, respectively, in the validation cohort. In addition, the risk score determined by this system exhibited significantly poorer short-term and long-term clinical outcomes in high-risk groups in both malnourished and well-nourished patients.

Combining handgrip strength, serum albumin level, and TNM stage would help improve the predictive effect of GLIM criteria for colorectal cancer patients post-radical surgery and benefit the individual prognostic prediction of colorectal cancer.

The Global Leadership Initiative on Malnutrition criteria (GLIM) was established to build a global consensus on the diagnostic criteria for malnutrition. The study aimed to assess the prevalence of the malnutrition diagnosed by GLIM criteria for patients with hepatocellular carcinoma (HCC), and to determine the role of the reduced muscle mass defined by CT scans in the GLIM criteria.

This cohort research was conducted on adult cirrhotic patients with HCC. The risk of malnutrition was screened by Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. The third lumbar vertebrae (L3-SMI) were used to represent the muscle mass in GLIM criteria. The variables associated with overall mortality were assessed by multivariate Cox regression analyses.

The incidence of malnutrition diagnosed by GLIM criteria was 49.7% (179/360) in patients with HCC. If reduced muscle mass was not included in GLIM criteria, the prevalence of malnutrition was 31.7% (114/360). GLIM-defined malnutrition (HR = 1.979, 95%CI 1.019-3.841, P = 0.044) was independently associated with overall mortality in patients with HCC. However, the GLIM-defined malnutrition (without muscle mass) was not associated with overall mortality (HR = 0.863, 95%CI 0.399-1.867, P = 0.709).

Skeletal muscle mass is an integral component of the GLIM criteria for patients with HCC. The malnutrition is common in patients with HCC, and malnourishment is associated with higher overall mortality. GLIM criteria are recommended to assess the nutritional status of hospitalized patients with HCC, which is recommended and can be used as the basis for nutritional interventions.

Malnutrition and physical function impairment are prevalent concerns in long-term care facilities. This study investigated the relationship between quadriceps muscle thickness (QMT) or echo intensity (QEI), nutritional status, and activities of daily living (ADL) in residents of an Integrated Facility for Medical and Long-term Care (IFMLC) in Japan.

Using a cross-sectional design, 126 residents (86 women, median age 89 years) at an IFMLC were assessed. Malnutrition was diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria including disease burden/inflammation, while ADL status was evaluated using the Barthel Index (BI). QMT and QEI, indicative of muscle mass and intramuscular adipose tissue, were measured by ultrasound. Multivariate logistic and linear regression analyses were conducted to explore the association of QMT or QEI with malnutrition and ADL.

62 residents (49%) were in the lower QMT group and 63 residents (50%) were in the upper QEI group. The prevalence of severe malnutrition in the lower QMT group was significantly higher than that in the upper QMT group. Moreover, the lower QMT group had significantly lower BI points than the upper QMT group. The upper QEI group had significantly lower BI points than the lower QEI group. lower QMT was associated with severe malnutrition (odds ratio 3.170; 95% CI 1.238 to 8.725; P = 0.016). Furthermore, both lower QMT (B = -12.520; 95% CI -17.069 to -7.973; P < 0.001) and upper QEI (B = -7.598; 95% CI -12.565 to -2.631; P = 0.003) showed an independent correlation with lower BI scores.

This study found a relationship between lower QMT correlated with severe malnutrition and poor ADL, while higher QEI is associated with poor ADL.

Patients undergoing pancreatectomy are at risk for pancreatic exocrine insufficiency and malnutrition. However, the incidence of these complications and the associated risk factors have not been sufficiently examined. This study aimed to investigate the changes in pancreatic morphology, pancreatic exocrine function, and long-term nutritional status after pancreatectomy.

We assessed the nutritional status, pancreatic morphologic parameters, and pancreatic exocrine function in patients undergoing pancreaticoduodenectomy and distal pancreatectomy. Nutritional status was evaluated on the basis of body weight change, body mass index, and skeletal muscle mass. Pancreatic parenchymal texture at the time of surgery, remnant volume of the pancreatic parenchyma, and diameter of the pancreatic duct were measured. Exocrine function was measured using the N-benzoyl-L-tyrosyl-p-aminobenzoic acid excretion test and the clinical signs of steatorrhea and nonalcoholic steatohepatitis. We then investigated potential causal relationships.

Seventy patients were included in the study. Moderate and severe malnutrition were diagnosed in 19 (27%) and 15 patients (21%), respectively. Most patients with malnutrition before surgery were also found to be malnourished postoperatively. Body weight and skeletal muscle mass decreased after pancreatectomy in most patients, even in the longer term. Subclinical and clinical pancreatic exocrine insufficiency was found in 36 (51%) and 25 patients (36%), respectively, and pancreatic ductal adenocarcinoma, pancreaticoduodenectomy, dilated pancreatic duct, low preoperative body mass index, and pancreatic exocrine insufficiency grade were found to contribute to postoperative malnutrition.

Pancreatic ductal adenocarcinoma, dilated pancreatic duct, pancreaticoduodenectomy, low preoperative body mass index, and pancreatic exocrine insufficiency were risk factors for postoperative malnutrition.

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 in 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).

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 the incidence of all-cause mortality was evaluated using a multivariate Cox proportional hazards model. Malnutrition was defined as at least one phenotype (weight loss, low body mass index, or reduced muscle mass) and one etiological criterion (reduced intake/assimilation or disease burden/inflammation).

Multivariate Cox proportional hazards model showed that eGFR ≤29 (vs. eGFR: 60-89, adjusted hazard ratio [HR] = 1.84, 95% confidence interval [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.

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.

Body weight is one of the essential indicators of nutritional status, and body weight management is vital in nutritional care. In addition, low body mass index (BMI) was included as a phenotypic criterion in the Global Leadership Initiative on Malnutrition (GLIM) criteria. Furthermore, low BMI has been used in grading the severity of malnutrition (moderate or severe malnutrition) in the GLIM criteria. A recent cross-sectional study reported that muscle mass of the quadriceps in older inpatients with severely low BMI is less than those of older inpatients with moderately low BMI and non-low BMI. However, the longitudinal relationship between body weight and muscle mass of the quadriceps in older inpatients in each BMI category according to the GLIM criteria remains unclear. This study aimed to examine the longitudinal relationship between body weight and muscle mass of the quadriceps in older inpatients in each BMI category according to the GLIM criteria.

This retrospective cohort study included 179 older inpatients (aged ≥ 70 years) (median [IQR] age: 84.0 [79.0-89.0]). The period of this study was between January 2017 and March 2020. In accordance with the cut-off value of a low BMI for patients aged ≥ 70 years in the Asian population according to the GLIM criteria, the participants were divided into the following three groups: the severely low BMI group (< 17.8 kg/m2) (n = 47), moderately low BMI group (≥ 17.8 to < 20.0 kg/m2) (n = 38), and non-low BMI group (≥ 20.0 kg/m2) (n = 94). The medians (IQR) of the length of hospital stay of the severely low BMI, moderately low BMI, and non-low BMI groups were 71.0 (49.0-98.0) days, 71.0 (50.0-98.0) days, and 50.5 (36.5-103.0) days, respectively. The primary outcome was a change in muscle mass of the quadriceps. The muscle mass of the quadriceps was examined using ultrasound images (i.e., quadriceps thickness). The changes in quadriceps thickness and body weight were calculated by subtracting the quadriceps thickness and body weight at admission from those values at discharge. Multiple linear regression analysis adjusting for confounding factors was used to determine whether the change in body weight was independently and significantly related to the change in quadriceps thickness in the severely low BMI, moderately low BMI, and non-low BMI groups.

The means (SD) of the change in quadriceps thickness of the severely low BMI group, moderately low BMI group, and non-low BMI group were 0.0 ± 0.3 cm, 0.1 ± 0.3 cm, and 0.1 ± 0.5 cm, respectively. The means of the change in body weight in those groups were 0.4 ± 2.8 kg, - 1.1 ± 2.7 kg, and - 1.3 ± 4.3 kg, respectively. In the severely low BMI group, the change in body weight (β = 0.34, p = 0.006) and quadriceps thickness at admission (β = -0.62, p < 0.001) were significantly and independently related to the change in quadriceps thickness (R2 = 0.645, f2 = 1.817, statistical power = 1.000). In the moderately low BMI and non-low BMI groups, there were no factors that were significantly and independently related to the change in quadriceps thickness.

The results of this study suggest that change in body weight is positively related to the change in muscle mass of the quadriceps in older inpatients with severely low BMI according to the GLIM criteria. These results imply the importance of body weight management for older inpatients with severely low BMI perspective from the muscle mass of the quadriceps.

Malnutrition is prevalent among elderly patients with COPD, who also experience a high rate of readmission. Therefore, it is imperative to investigate the nutrition status of these patients, identify risk factors for readmission, and offer insights for clinical management. To achieve this, a cross-sectional study was conducted to investigate factors influencing nutrition status using GLIM criteria and explore the 180-day readmission factors among hospitalized elderly COPD patients.

The data were collected from a hospital in Southwest China, encompassing a cohort of 319 eligible patients. Among elderly hospitalized COPD patients, the prevalence of malnutrition was 49.53% (158/319). Multivariate logistic regression revealed malnutrition (OR = 3.184), very severe airway obstruction (OR = 3.735), and Number of comorbidities ≥ 3 (OR = 5.754) as significant risk factors for 180-day readmission.

These findings suggest that malnutrition is a prevalent issue among elderly hospitalized patients with COPD and constitutes one of the risk factors contributing to the 180-day readmission rate. Therefore, timely identification and treatment for malnourished patients are crucial.

Chronic obstructive pulmonary disease (COPD) is a common respiratory disease that often coexists with malnutrition during acute exacerbation (AECOPD) and significantly affects the prognosis. Previous studies have shown that growth differentiation factor 15 (GDF15) levels promote appetite suppression, weight loss, and muscle weakness, and are markedly high in peripheral blood following inflammatory stimulation. However, it is still unknown whether serum GDF15 levels can be used to predict malnutrition in patients with AECOPD.

A total of 142 patients admitted to the Department of Respiratory Medicine at Anshun People's Hospital between December 2022 and August 2023 were selected for this study. The participants were divided into two groups: malnutrition group (n = 44) and non-malnutrition group (n = 98) based on a body mass index (BMI) < 18.5 kg/m2, according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. Serum GDF15 levels were measured using the enzyme-linked immunosorbent assay (ELISA) and compared between the two groups. Spearman correlation analysis was used to examine the association between serum GDF15 levels, baseline data, and clinical indicators. Binary logistic regression was used to identify the independent risk factors for AECOPD combined with malnutrition. The predictive value of serum GDF15, albumin (ALB), and a combination of these was evaluated to identify malnutrition in patients with AECOPD using a receiver operating characteristic (ROC) curve.

Serum GDF15 levels in patients with malnutrition and AECOPD were significantly higher than those in patients without malnutrition, whereas the serum ALB levels were significantly lower than those in patients without malnutrition (p < 0.001). Moreover, serum GDF15 levels were negatively correlated with BMI (r = -0.562, p < 0.001), mid-arm circumference (r = -0.505, p < 0.001), calf circumference (r = -0.490, p < 0.001), total protein (r = -0.486, p < 0.001), ALB (r = -0.445, p < 0.001), and prognostic nutritional index (r = -0.276, p = 0.001), and positively correlated with C-reactive protein (r = 0.318, p < 0.001), COPD assessment test score (r = 0.286, p = 0.001), modified medical research council classification (r = 0.310, p < 0.001), and global initiative for chronic obstructive pulmonary disease grade (r = 0.177, p = 0.035). Furthermore, serum GDF15 levels were an independent risk factor for malnutrition in patients with AECOPD (OR = 1.010, 95% CI, 1.003∼1.016). The optimal cut-off value of serum GDF15 level was 1,092.885 pg/mL, with a sensitivity of 65.90% and a specificity of 89.80%, while the serum ALB level was 36.15 g/L, with a sensitivity of 86.40% and a specificity of 65.00%, as well as a combined sensitivity of 84.10% and a specificity of 73.90%. Serum GDF15 and serum ALB levels had a good predictive ability (AUC = 0.856, AUC = 0.887), and the ROC revealed a greater combined prediction value for the two (AUC = 0.935).

Serum GDF15 levels could be used as a potential biomarker in the prediction of malnutrition in patients with AECOPD, offering a guidance for future clinical evaluation of malnutrition.

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

Older patients with cancer have a higher risk for malnutrition and impaired quality of life (QoL). The present study aimed to investigate the relationship between malnutrition diagnosed according to the Global Leadership Initiative Malnutrition (GLIM) criteria and QoL across various tumor types, and to evaluate the combined prognostic value of malnutrition and QoL in predicting survival among older patients with cancer.

This multicenter, observational cohort study included 5310 older patients with cancer and 2184 with malnutrition (moderate stage, n = 1023; severe stage, n = 1161). An empirical cumulative distribution curve was performed to illustrate the correlation between malnutrition and QoL. The primary objective was to investigate the association between malnutrition and QoL using logistic regression analysis. Survival analyses were performed to assess the combined prognostic value of malnutrition and QoL.

The median age of the patients (66.9% male, 33.1% female) was 70 years (interquartile range [IQR] 67-74 years) years. The median QoL score was highest in patients without malnutrition (91.88 [IQR 84.44-97.44]), followed by those with moderate (86.15 [IQR 76.18-93.85) and severe (82.31 [IQR 69.87-91.11]) malnutrition. Logistics regression revealed that the risk for developing impaired QoL increased 1.98 (95% confidence interval [CI] 1.64-2.38; P < 0.001) and 2.33 (95% CI 1.93-2.81; P < 0.001) times in patients with moderate and severe malnutrition, respectively. Kaplan-Meier curves showed that QoL in combination with GLIM criteria demonstrated a significant discriminative performance for survival and served as an independent prognostic factor among older patients with cancer, especially for lung and gastric cancers.

Malnutrition diagnosed according to the GLIM criteria was a predictor of impaired QoL. Additionally, the combination of QoL and malnutrition demonstrated utility for predicting survival outcomes in older patients with cancer.

Ambulatory cancer patients are at high risk of malnutrition. Multiple nutrition screening and assessment tools are used in the outpatient setting. This study aimed to evaluate the efficacy of different nutrition screening tools as the first step of the Global Leadership Initiative on Malnutrition (GLIM) framework in Chinese ambulatory cancer patients.

A cross-sectional study was conducted in a tertiary hospital in China. Malnutrition diagnoses made by the GLIM framework using Malnutrition Screening Tool, Malnutrition Universal Screening Tool, Nutritional Risk Screening 2002, or short-form of Patient-Gernerated Subjective Global Assessment (PG-SGA) as the first step were compared with PG-SGA separately.

Of the 562 included patients, 31.0% were diagnosed with malnutrition (PG-SGA: B + C), and 12.6% were diagnosed with severe malnutrition (PG-SGA: C). As the screening tool in the first step of the GLIM framework, the short form of PG-SGA (PG-SGA SF) with a cutoff value of ≥2 performed best in diagnosing malnutrition, with good sensitivity (SE) (80.5% [73.6-85.9]) and specificity (SP) (98.4% [96.5-99.4]) and substantial accordance (κ = 0.826), whereas PG-SGA SF with a cutoff value of ≥4 performed best in diagnosing severe malnutrition, with fair SE (62.0% [49.6-73.0]), good SP (96.7% [94.6-98.1]) and moderate accordance (κ = 0.629).

Using PG-SGA as the standard, the GLIM framework using PG-SGA SF as the screening tool has good accordance with the PG-SGA regardless of severity grading. PG-SGA SF can be used as a valid screening tool in the GLIM framework.

The study was designed to investigate the occurrence and risk factors of malnutrition in diabetic foot ulcers (DFU) patients and examine the association between malnutrition and length of stay (LOS).

This observational study included DFU hospitalized patients in two campuses of a hospital from January 2021 to June 2023. The diagnosis standard of malnutrition was established by using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Patients were followed up to ascertain the length of hospitalization, and hospital stays longer than 17 days were considered as prolonged LOS. To explore the risk factors of malnutrition and the association between malnutrition and LOS, univariate and multivariate logistic regression analyses were performed.

Overall 219 DFU patients were enrolled, malnutrition was identified in 38.36% of patients according to GLIM criteria, and 92 patients (42%) were recognized as prolonged LOS. Logistic regression analyses showed that BMI (P <0.001), Alb (P = 0.002), HbA1c (P <0.001), ulcer infection (P <0.001), LOS (P = 0.010), and ABI (P = 0.024) were independent risk factors for malnutrition. Besides, malnutrition by GLIM criteria was closely related to prolonged LOS and malnourished DFU patients were 2.857 times (95% CI, 1.497-5.450; P = 0.001) likely to present prolonged LOS than that of normal nutrition.

Malnutrition was considered to be extremely prevalent in DFU patients and was associated with approximately three times higher likelihood of prolonged LOS. Implementing and disseminating the diagnostic criteria during routine practice is crucial, given the predictive efficacy of GLIM criteria.

The role of diet quality on malnutrition in older adults is uncertain, due the paucity of the research conducted and the use of use of screening tools that did not consider phenotypic criteria of malnutrition.

To evaluate the association of two indices of diet quality, namely the Mediterranean Diet Adherence Screener (MEDAS) and the Alternative Healthy Eating Index (AHEI-2010), with malnutrition among community-dwelling older adults in Spain.

Cross-sectional analysis of data from 1921 adults aged ≥ 60 years from the Seniors-ENRICA-1 (SE-1) study, and 2652 adults aged ≥ 65 years from the Seniors-ENRICA-2 (SE-2) study. Habitual food consumption was assessed through a validated diet history. Malnutrition was defined according to the Global Leadership Initiative on Malnutrition (GLIM) phenotypic criteria. Statistical analyses were performed with logistic regression with adjustment for socioeconomic and lifestyle variables as well as for total energy and protein intake.

The prevalence of malnutrition in the SE-1 study was 9.5% (95% confidence interval: 8.2 to 10.9) and 11.7% (10.5 to 13.9) in the SE-2. Adherence to the MEDAS score was associated with lower prevalence of malnutrition [pooled odds ratio for high (≥ 9 points) vs. low adherence (< 7 points): 0.64 (0.48-0.84); p-trend < 0.001]. Higher adherence to the AHEI-2010 also showed an inverse association with malnutrition (pooled odds ratio for quartile 4 vs. 1: 0.65 (0.49-0.86); p-trend 0.006). Among the individual components, higher consumption of fish and long-chain n-3 fatty acids in MEDAS and AHEI-2010, and of vegetables and nuts and legumes in AHEI-2010, and lower intake of trans-fat and sugar-sweetened beverages and fruit juice in AHEI-2010 were independently associated with lower odds of malnutrition.

Adherence to high diet-quality patterns was associated with lower frequency of malnutrition among older adults.

ClinicalTrials.gov identifier: NCT02804672. June 17, 2016.; ClinicalTrials.gov NCT03541135. May 30, 2018.

The key step of the Global Leadership Initiative on Malnutrition (GLIM) is nutritional risk screening, while the most appropriate screening tool for colorectal cancer (CRC) patients is yet unknown. The GLIM diagnosis relies on weight loss information, and bias or even failure to recall patients' historical weight can cause misestimates of malnutrition. We aimed to compare the suitability of several screening tools in GLIM diagnosis, and establish machine learning (ML) models to predict malnutrition in CRC patients without weight loss information.

This multicenter cohort study enrolled 4487 CRC patients. The capability of GLIM diagnoses combined with four screening tools in predicting survival probability was compared by Kaplan-Meier curves, and the most accurate one was selected as the malnutrition reference standard. Participants were randomly assigned to a training cohort (n = 3365) and a validation cohort (n = 1122). Several ML approaches were adopted to establish models for predicting malnutrition without weight loss data. We estimated feature importance and reserved the top 30% of variables for retraining simplified models. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity were calculated to assess and compare model performance.

NRS-2002 was the most suitable screening tool for GLIM diagnosis in CRC patients, with the highest hazard ratio (1.59; 95% CI, 1.43-1.77). A total of 2076 (46.3%) patients were malnourished diagnosed by GLIM combined with NRS-2002. The simplified random forest (RF) model outperformed other models with an AUC of 0.830 (95% CI, 0.805-0.854), and accuracy, sensitivity and specificity were 0.775, 0.835 and 0.742, respectively. We deployed an online application based on the simplified RF model to accurately estimate malnutrition probability in CRC patients without weight loss information (https://zzuwtt1998.shinyapps.io/dynnomapp/).

Nutrition Risk Screening 2002 was the optimal initial nutritional risk screening tool in the GLIM process. The RF model outperformed other models, and an online prediction tool was developed to properly identify patients at high risk of malnutrition.

For diagnosing malnutrition as an important modifiable risk factor in surgical cancer patients, GLIM criteria offer a standardised diagnostic pathway. Before assessing malnutrition, it is suggested to screen for malnutrition with an implemented screening tool, i.e., the NRS-2002. Validated data regarding the applied screening tool and its relevance for predicting outcome parameters in surgical patients is sparse.

260 patients undergoing major abdominal surgery for cancer were retrospectively analysed. Between January 2017 and December 2019, patients were prospectively screened for malnutrition with the Nutritional Risk Score 2002 (NRS). Irrespective of their screening result malnutrition was assessed with GLIM criteria using CT scan at lumbar level 3 for measuring skeletal muscle mass (GLIM MMCT). Patients with negative screening results (NRS ≤2) were analysed regarding their malnutrition assessment and outcome parameters.

Thirty four of 67 patients with NRS ≤2, posing no risk for malnutrition, were diagnosed malnourished according to GLIM MMCT (n = 34, 50.7%). 19 patients (55.9%) with NRS ≤2 and malnutrition according to GLIM had at least one complication, 12 patients (35.3%) had a severe complication (Clavien-Dindo grade ≥ 3a), in 26.5% re-laparotomy was necessary, readmission within 1 month in 20.6% of patients, and length of hospital stay was 18.76 ± 12.66, which was in total worse in outcome compared to the whole study group (n = 260). Patients with NRS ≤2 but diagnosed malnourished by GLIM were at significant higher risk to develop a severe complication (OR 2.256, 95% CI: 1.038-4.9095, p = 0.036) compared to patients with NRS ≤2 but not being diagnosed malnourished. The risk for overall complications was significantly increased in patients with malnutrition diagnosed by the GLIM criteria using MMCT (OR 2.028, 95% CI: 1.188-3.463, p = 0.009). Patients screened at risk with NRS ≥3 and diagnosed malnourished by GLIM were also at significant higher risk for developing complications (OR 1.728, 95% CI: 1.054-2.832, p = 0.029).

GLIM MMCT is suitable for diagnosing malnutrition and estimating postoperative risk in gastrointestinal cancer patients. Nutritional assessment only in patients with NRS >2 may bear the risk to miss malnourished patients with high risk for poor clinical outcome. In every patient undergoing major cancer surgery, regular assessment of nutritional status regardless of screening result should be performed exploiting CT body composition analysis.

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.

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.

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.

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.

Resting energy expenditure (REE) constitutes the largest component of total energy expenditure and undergoes an age-related decline that is unexplained by decreased fat-free mass. Phase angle (PhA) is a cellular health indicator that is possibly associated with REE. We investigated the association of REE and PhA in hospitalized older adults.

This single-center, cross-sectional analysis utilized the baseline data from a prospective longitudinal study and included 131 eligible patients aged ≥70 years. The REE was measured using indirect calorimetry, and PhA and body composition were assessed using bioelectrical impedance. The association between REE, PhA, and body composition was examined, and REE was compared using previously reported PhA cutoff values.

In this cohort with a mean (±standard deviation) age of 87.4 (±7.0) years, 34.4% of the participants were men. REE and PhA correlated strongly (r: 0.562, p < 0.001) and significantly after adjusting for age and sex (r: 0.433, p < 0.001). Multivariate analysis showed a significant independent association between REE and PhA and skeletal muscle mass (standardized β [95% CI]; 28.072 [2.188-53.956], p = 0.035) without any significant interaction between PhA and age on REE. The low PhA group had a significantly lower REE (kcal/day; 890 [856-925] vs. 1077 [1033-1122], p < 0.001), and this remained significant after adjusting for age, sex, and skeletal muscle mass index.

PhA is associated with REE in older adults. Adjusting REE calculation algorithms based on PhA values and correcting predicted REE according to PhA may aid in determining more accurate energy requirements.

This study aims to develop and validate a clinical nutrition risk screening tool to predict nutrition risk in home for the patients with gastric cancer after surgery at home so that high-risk patients can be targeted for preventive nutrition care.

The development of self-screening tool for nutrition risk in patients with gastric cancer after gastrectomy (SNRSGC) through literature review, expert panel ratings and cognitive interview; the validation of SNRSGC is evaluated through prospective research on participants.

This research is divided into four parts: Step 1, Identification of a potential referred nutritional risk screening; Step 2, Item generation and scoring are selected through literature review methods to screen sensitive indicators which can reflect the nutritional characteristics of patients after gastric cancer surgery, establish the frame and update according to the latest guidelines; Step 3, Item reduction is determined by the rating of SNRSGC items by an expert panel and cognitive interview; Step 4, During the validation stage, we conducted research design based on the Consensus-based Standards for the selection of health Measurement Instruments checklist to evaluate the validity, reliability, interpretability and acceptability of SNRSGC.

SNRSGC is the first screening tool specifically to predict nutrition risk for stay-at-home postoperative patients with gastric cancer, which can help patients at home detect nutritional risks at home in time and guide patients to seek medical treatment as soon as possible to improve their nutritional status.

Recently, the Asian Working Group for Cachexia (AWGC) published a consensus statement on diagnostic criteria for cachexia in Asians. We aimed to validate the criteria in adult patients in Japan with advanced cancer.

We conducted a single-institution retrospective cohort study between April 2021 and October 2022. The AWGC criteria include chronic comorbidities and either a weight loss of >2% over 3-6 months or a body mass index (BMI) of <21 kg/m2 . In addition, any of the following items were required: anorexia as a subjective symptom, decreased grip strength as an objective measurement and an elevated C-reactive protein (CRP) level as a biomarker. We used the cut-off value of grip strength of 28/18 kg for male/female individuals and CRP level of 5 mg/L.

Of the 449 consecutive patients, 85 of those who could not be evaluated because of end-of-life or refractory symptoms (n = 41) or missing data (n = 44) were excluded from the primary analysis. The prevalence of the AWGC-defined cachexia was 76% (n = 277), and the median survival time (MST) for all patients was 215 (95% confidence interval [CI] 145-270) days. The prevalence of the following criteria was significantly higher in patients with cachexia than in those without cachexia: a BMI of <21 kg/m2 (65% vs. 15%, P < 0.001), a weight loss of >2% in 6 months (87% vs. 14%, P < 0.001), anorexia (75% vs. 47%, P < 0.001), a grip strength of <28 kg in male individuals (63% vs. 28%, P < 0.001) and CRP level of >5 mg/L (85% vs. 56%, P < 0.001). Overall survival was significantly shorter in patients with cachexia than in those without cachexia (MST 157 days, 95% CI 108-226 days vs. MST 423 days, 95% CI 245 days to not available, P = 0.0023). The Cox proportional hazards analysis showed that best supportive care (hazard ratio [HR] 2.91, P ≤ 0.001), lung cancer (HR 1.67, P = 0.0046), an Eastern Cooperative Oncology Group Performance Status score of ≥3 (HR 1.58, P = 0.016), AWGC-defined cachexia (HR 1.56, P = 0.015), an age of ≥70 years (HR 1.53, P = 0.0070), oedema (HR 1.31, P = 0.022) and head/neck cancer (HR 0.44, P = 0.023) were found to be the significant predictors for mortality.

We demonstrated that AWGC-defined cachexia has a significant prognostic value in advanced cancer.

Objective To assess the prevalence and clinical correlates of non-alcoholic fatty liver disease (NAFLD) identified by computed tomography (CT) in the general population compared with ultrasonography (US). Methods Four hundred and fifty-eight subjects who received health checkups at Meijo Hospital in 2021 and underwent CT within a year of US in the past decade were analyzed. The mean age was 52.3±10.1 years old, and 304 were men. Results NAFLD was diagnosed in 20.3% by CT and in 40.4% by the US. The NAFLD prevalence in men was considerably greater in subjects 40-59 years old than in those ≤39 years old and in those ≥60 years old by both CT and US. The NAFLD prevalence in women was substantially higher in the subjects 50-59 years old than in those ≤49 years old or those ≥60 years old on US, while no significant differences were observed on CT. The abdominal circumference, hemoglobin value, high-density lipoprotein cholesterol level, albumin level, and diabetes mellitus were independent predictors of NAFLD diagnosed by CT. The body mass index, abdominal circumference, and triglyceride level were independent predictors of NAFLD diagnosed by the US. Conclusion NAFLD was found in 20.3% of CT cases and 40.4% of US cases among recipients of health checkups. An "inverted U curve" in which the NAFLD prevalence rose with age and dropped in late adulthood was reported. NAFLD was associated with obesity, the lipid profile, diabetes mellitus, hemoglobin values, and albumin levels. Our research is the first in the world to compare the NAFLD prevalence in the general population simultaneously by CT and US.

The Global Leadership Initiative on Malnutrition (GLIM), comprising several of the major global clinical nutrition societies, suggested the world's first criteria for diagnosis of the severity of malnutrition. However, the impact of the resulting diagnosis on patient outcomes for those with hepatocellular carcinoma (HCC) following liver resection (LR) has not been investigated.

A retrospective analysis of 293 patients with HCC who underwent LR between January 2011 and December 2018 was performed. We compared overall survival (OS) and recurrence-free survival (RFS) and evaluated prognostic factors after LR using Cox proportional hazards regression models.

Preoperative patient nutritional status, n (%), was classified as follows: normal, 130 (44%), moderate malnutrition, 116 (40%), and severe malnutrition, 47 (16%). The median OS (129 vs. 43 months, p < 0.001) and median RFS (54 vs. 20 months, p = 0.001) were significantly greater in the normal group than in the severe malnutrition group. Multivariate analysis showed that severe malnutrition was a significant risk factor for OS (p = 0.006) and RFS (p = 0.010) after initial LR.

Severe malnutrition, as diagnosed by the GLIM criteria, is a significant prognostic factor for survival and recurrence in patients with HCC after LR.

Malnutrition is common in hematopoietic stem cell transplantation (HSCT) patients. However, there are few studies on the association between malnutrition and post-transplant outcomes, with inconsistent results. No standard screening tool has been established for malnutrition in these patients. Previous research suggests the Global Leadership Initiative on Malnutrition (GLIM) criteria is effective in predicting outcomes in other cancers. This study investigates the link between malnutrition based on the GLIM criteria with mortality and complications following allogeneic HSCT.

This single-center, observational, longitudinal, and prospective study of 98 adult leukemia patients at the Hematology Center of Shariati Hospital in Tehran, Iran, monitored patients before transplantation until 100 days after the procedure, focusing on overall survival and mortality as a primary outcome, and secondary endpoints including oral mucositis, acute GVHD, infection during hospitalization, and readmission rates.

This study involved 98 allogeneic HSCT patients with a median age of 38 years old, 64.3 % with acute myeloid leukemia (AML), and 35.7 % with acute lymphoblastic leukemia (ALL). Among them, 26.5 % were categorized as malnourished based on GLIM criteria. During 100 days of follow-up, 13 patients died, but there was no significant difference in overall survival and mortality between malnourished and well-nourished patients. Malnourished patients demonstrated a noticeable upward trend in the incidence of oral mucositis, hospital readmission, and infection during their hospitalization. It is important to highlight that although this observed trend is discernible, it did not attain statistical significance in statistical analyses (P > 0.05).

The current study determined that, when assessed using the GLIM criteria, malnutrition did not exert a statistically significant influence on survival, mortality, or complications within the specified age range of 18-55 years, underscoring its limited impact on this cohort of younger patients.

The usefulness of malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria as a predictor of recovery of activities of daily living is unclear. This study aimed to investigate whether baseline malnutrition diagnosed using the GLIM criteria was predictive of recovery of activities of daily living in older patients with post-acute stroke.

A retrospective cohort study was conducted in patients aged ≥70 years with post-acute stroke. The outcome was activities of daily living measured using the motor domain of the Functional Independence Measure (FIM-motor) score at discharge. Participants were classified as malnourished or non-malnourished according to the GLIM criteria. Multivariate linear regression analyses were performed to determine whether baseline malnutrition diagnosed using the GLIM criteria was predictive of the FIM-motor score at discharge. The analysis was adjusted for clinically relevant covariates associated with rehabilitation outcomes after stroke.

A total of 236 patients (mean age, 80.0 years; female, 54.2%) were included in the analysis. On admission, 83 (35.2%) patients were diagnosed with malnutrition. Multivariate linear regression analyses showed that malnutrition diagnosed using the GLIM criteria was predictive of the FIM-motor score at discharge (β = -0.347, P < 0.001).

Identifying malnutrition using the GLIM criteria is useful for predicting recovery of activities of daily living in older patients with post-acute stroke.

Accurate resting energy expenditure (REE) prediction is needed to prevent over- or underfeeding in older hospitalized patients. However, few validated REE prediction Equations are known for such patients. Therefore, this study aimed to develop new REE prediction Equations and evaluate their validity.

This single-center, cross-sectional study enrolled 134 patients ages ≥70 y. For holdout validation, patients were randomized in a 3:1 ratio; for the development data set, a new Equation was developed according to the measured REE using indirect calorimetry. The new and existing Equations were compared using the validation data set.

Mean patient age was 87.4 ± 6.9 y, and 34.3% were male. Two Equations were developed in multivariable regression models: Equation 1: REE (kcal/day) = 313.582 + Height (cm) × 3.973 + Body weight (kg) × 5.332 - Age (y) × 5.474 - (0 if male; 1 if female) × 20.012 + Calf circumference (cm) × 12.174; and Equation 2: REE (kcal/day) = 594.819 + Height (cm) × 3.760 + Body weight (kg) × 8.888 - Age (y) × 6.298 - (0 if male; 1 if female) × 16.396. The mean relative bias (95% CI) with measured REE as a reference had a small bias for Equations 1 and 2 (-0.1 [-4.1 to 3.9]% and -0.2 [-4.4 to 4.1]%, respectively); however, the Harris-Benedict, Food and Agriculture Organization of the United Nations/World Health Organization/United Nations University, Ganpule, and body weight × 20 Equations had larger biases (-6.2 [-10.3 to -2.0]%; 5.3 [1.3 to 9.3]%; -13.9 [-18.6 to -9.3]%; and -11.6 [-16.1 to -7.1]%, respectively).

New prediction Equations using height, body weight, age, sex, and calf circumference improve REE prediction accuracy in older hospitalized patients.

Body mass index (BMI) and waist circumference (WC) were used to evaluate nutritional status and obesity. We aimed to examine whether preoperative BMI or WC was associated with mortality after cancer surgery.

This population-based cohort study used data extracted from the National Health Insurance Service database of South Korea. We included adult patients who underwent major cancer surgery with curative intent between January 1, 2016, and December 31, 2020.

A total of 87,220 patients were included in the final analysis, and 1,374 (1.6%) died within 90 days after cancer surgery. In the multiple logistic regression model, the BMI < 18.5/kg/m² and > 35 kg/m² groups showed 1.98-fold (odds ratio [OR], 1.98; 95% confidence interval [CI], 1.58-2.49; P < 0.001) and 2.60-fold (OR, 2.60; 95% CI, 1.25-5.40; P < 0.001) higher 90-day mortality after cancer surgery than did the BMI 18.5-24.9 kg/m² group. The 25.0-29.9 kg/m² (P = 0.144) and 30.0-34.9 kg/m² (P = 0.105) BMI groups did not show significant differences compared to the BMI 18.5-24.9 kg/m² group. Compared with the normal WC group, the high (P = 0.052) and very high (P = 0.232) WC groups also did not show significant differences in terms of 90-day mortality.

Preoperative BMI < 18.5 kg/m² and > 35 kg/m² is associated with an elevated risk of 90-day mortality after major cancer surgery. However, preoperative WC was not significantly associated with 90-day mortality after cancer surgery.

Chronic diseases often lead to metabolic disorders, causing anabolic resistance and increased energy consumption, which result in cachexia. Cachexia, in turn, can lead to major clinical consequences such as impaired quality of life, shortened life expectancy, and increased healthcare expenditure. Existing international diagnostic criteria for cachexia employ thresholds derived from Western populations, which may not apply to Asians due to differing body compositions. To address this issue, the Asian Working Group for Cachexia (AWGC) was initiated. The AWGC comprises experts in cachexia research and clinical practice from various Asian countries and aims to develop a consensus on diagnostic criteria and significant clinical outcomes for cachexia in Asia. The AWGC, composed of experts in cachexia research and clinical practice from several Asian countries, undertook three-round Delphi surveys and five meetings to reach a consensus. Discussions were held on etiological diseases, essential diagnostic items for cachexia, including subjective and objective symptoms and biomarkers, and significant clinical outcomes. The consensus highlighted the importance of multiple diagnostic factors for cachexia, including chronic diseases, either or both weight loss or low body mass index, and at least one of the following: anorexia, decreased grip strength (<28 kg in men and <18 kg in women), or elevated C-reactive protein levels (>5 mg/L [0.5 mg/dL]). The AWGC proposed a significant weight change of 2% or more over a 3-6 month period and suggested a tentative cut-off value of 21 kg/m2 for low body mass index in diagnosing cachexia. Critical clinical outcomes were determined to be mortality, quality of life as assessed by tools such as EQ-5D or the Functional Assessment of Anorexia/Cachexia Therapy, and functional status as measured by the Clinical Frailty Scale or Barthel Index, with significant emphasis on patient-reported outcomes. The AWGC consensus offers a comprehensive definition and user-friendly diagnostic criteria for cachexia, tailored specifically for Asian populations. This consensus is set to stimulate future research and enhance the multidisciplinary approach to managing cachexia. With plans to develop further guidelines for the optimal treatment, prevention, and care of cachexia in Asians, the AWGC criteria are expected to drive research across chronic co-morbidities and cancer in Asia, leading to future refinement of diagnostic criteria.