The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 comprised of screening followed by assessment of three phenotypic criteria: weight loss, low BMI, and low muscle mass, and two etiologic criteria: reduced food intake/assimilation, and inflammation/disease burden. This planned update reconsiders the GLIM framework based on published knowledge and experience over the past five years.

A GLIM working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM". Prior GLIM activities providing guidance for use of the criteria on muscle mass and inflammation were reviewed. Successive rounds of review and revision were used to achieve consensus.

More than 400 scientific reports are published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgement may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. Following two rounds of review and revision, the working group secured 100 % agreement with the conclusions reported in the 5-year update.

Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.

Postoperative malnutrition, which significantly affects recovery and overall quality of life, is a critical concern for patients with oral cancer. Timely identification of patients at nutritional risk is essential for implementing appropriate interventions, thereby improving postoperative outcomes.

This prospective study, which was conducted at a tertiary hospital in China between August 2023 and May 2024, included 487 postoperative oral cancer patients. The dataset was divided into a training set (70%) and a validation set (30%). Predictive models were developed via four supervised machine learning algorithms: logistic regression (LR), support vector machine (SVM), light gradient boosting machine (LGBM), and extreme gradient boosting (XGBoost). Nutritional risk was assessed via the Nutritional Risk Screening 2002 (NRS-2002) tool and diagnosed via the Global Leadership Initiative on Malnutrition (GLIM) criteria. Model performance was evaluated on the basis of discrimination, calibration, and clinical applicability, with SHAP analysis used for interpretability. Statistical analysis was conducted via R software, with appropriate tests for continuous and categorical variables.

Of the 487 oral cancer patients, 251 (51.54%) experienced postoperative malnutrition. The study cohort was split into a training set comprising 340 patients and a validation set comprising 147 patients. Seven key predictors were identified, including sex, T stage, repair and reconstruction, diabetes status, age, lymphocyte count, and total cholesterol (TC) level. The XGBoost model demonstrated an area under the curve (AUC) of 0.872 (95% CI: 0.836-0.909) in the training set and 0.840 (95% CI: 0.777-0.904) in the validation set. Calibration curves confirmed the model's robust fit, and decision curve analysis (DCA) indicated substantial clinical benefit.

This study represents the first development of an XGBoost-based model for predicting postoperative malnutrition in patients with oral cancer. The integration of SHAP for model interpretability, along with the creation of an intuitive web tool, enhances the model's clinical applicability. This approach can significantly reduce malnutrition-related complications and improve recovery outcomes for oral cancer patients.

The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 that comprised screening followed by assessment of three phenotypic criteria (weight loss, low body mass index [BMI], and low muscle mass) and two etiologic criteria (reduced food intake/assimilation and inflammation/disease burden). This planned update reconsiders the GLIM framework based on published knowledge and experience over the past 5 years.

A working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM." Prior GLIM guidance activities for using the criteria on muscle mass and inflammation were reviewed. Successive rounds of revision and review were used to achieve consensus.

More than 400 scientific reports were published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgment may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. After two rounds of review and revision, the working group secured 100% agreement with the conclusions reported in the 5-year update.

Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.

Malnutrition is a common complication of malignant tumors, and accurate diagnosis and treatment are essential. Although the Global Leadership Initiative on Malnutrition (GLIM) criteria are widely accepted for the diagnosis of malnutrition in a variety of diseases, their diagnostic value in patients with malignant tumors is controversial.

We conducted a comprehensive analysis of studies of the GLIM criteria in patients with malignant tumors and performed a standardized meta-analysis to evaluate the diagnostic value of the GLIM criteria in this patient population.

We conducted a systematic search across the PubMed, Cochrane, Web of Science, and ClinicalTrials.gov databases to identify studies utilizing the GLIM criteria for diagnosing malnutrition in cancer patients during the period from the initial adoption of the criteria in 2020 through February 29, 2024.

The meta-analysis was conducted in accordance with the PRISMA2020 statement. Using the Patient-Generated Subjective Global Assessment (PG-SGA) as a reference standard, we calculated the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) with 95% CI separately for the GLIM criteria. To assess the accuracy of the GLIM criteria, forest plots were drawn to summarize and present the data. The risk of bias and the methodological quality of the primary research were assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool.

Fifty studies were identified following the initial search of the PubMed, Web of Science, Cochrane Library, and ClinicalTrials.gov databases. Fourteen studies including a total of 14 196 cancer patients met the selection criteria and were included in the meta-analysis. With the use of the PG-SGA as a reference standard, 7640 patients with malignant tumors were diagnosed with malnutrition (prevalence of 53.8%). The GLIM criteria had an overall sensitivity of 0.69 (95% CI: 0.62-0.75), specificity of 0.84 (95% CI: 0.75-0.91), PLR of 4.42 (95% CI: 2.71-7.2), NLR of 0.37 (95% CI: 0.30-0.45), DOR of 12.90 (95% CI: 6.68-21.21), and an AUC of 0.80 (95% CI: 0.77-0.84) compared to PG-SGA.

Compared with the PG-SGA, the GLIM criteria showed good diagnostic value in patients with cancer. The GLIM criteria can be considered acceptable in clinical practice and have the potential for wider application in the future.

PROSPERO registration No. CRD4202452675.1.

The Global Leadership Initiative on Malnutrition (GLIM) criteria have been validated in various clinical settings since 2018, but prospective validation in patients with congestive heart failure (CHF) who are hospitalized remains limited. This study compares the prognostic performance of the GLIM criteria and Mini-Nutritional Assessment (MNA)-defined malnutrition for all-cause mortality in CHF patients and explores the strongest predictive indicator within the GLIM criteria.

This single-center prospective cohort study included inpatients with CHF. Agreement between the GLIM criteria and MNA was assessed using Cohen κ coefficient. Survival data were analyzed using Kaplan-Meier curves and adjusted Cox regression analyses.

Among 498 CHF inpatients, 84 (16.9%) died during the 18-month follow-up. Malnutrition prevalence was 47.2% and 50.4% based on the GLIM criteria and MNA, respectively (κ = 0.68; P < 0.001). Malnutrition was independently associated with a higher risk of all-cause mortality (GLIM criteria: hazard ratio, 2.16 [95% confidence interval (CI), 1.13-4.13]; MNA: hazard ratio, 4.28 [95% CI, 1.98-9.22]). Low body mass index was the strongest predictor of all-cause mortality in multivariable analysis (hazard ratio, 5.14; 95% CI, 3.19-8.27).

The GLIM criteria showed strong consistency with MNA and effectively predicted all-cause mortality in CHF patients within 18 months.

The aim of this study was to assess the criterion validity of the Global Leadership Initiative on Malnutrition criteria compared to the subjective global assessment in a diverse inpatient population.

This cross-sectional study was a retrospective analysis of point prevalence audit data. The prevalence of malnutrition determined by the Global Leadership Initiative on Malnutrition criteria was compared to the Subjective Global Assessment. Validity statistics were determined using all of the Global Leadership Initiative on Malnutrition criteria concurrently as well as each pair that could be used to diagnose malnutrition. Subgroup analysis was undertaken based on severe malnutrition, treatment group, age and body mass index.

Nine hundred and eighty-one patients were included (65.1 ± 18.6 years, 54.8% male). The prevalence of malnutrition was 36.7% using the Subjective Global Assessment and 36.1% using the Global Leadership Initiative on Malnutrition criteria. More patients were classified as severely malnourished using the Global Leadership Initiative on Malnutrition criteria (9.8% vs. 6.0%), whilst more rehabilitation patients were classified as malnourished using the Subjective Global Assessment (42.2% vs. 33.6%). The criterion validity of the Global Leadership Initiative on Malnutrition criteria was good, with a sensitivity of 92.5% (95% CI 90.9-94.2) and specificity of 96.6% (95% CI 95.5-97.8). There was a downward trend in sensitivity with increasing body mass index and a lower sensitivity in the rehabilitation population. The criterion validity was fair at best when each pair of the Global Leadership Initiative on Malnutrition criteria was considered independently of other criteria.

When all criteria are considered concurrently, the Global Leadership Initiative on Malnutrition criteria present good criterion validity and can be applied in clinical practice to diagnose malnutrition.

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

To explore the prevalence of vitamin C deficiency, 'undetectable' vitamin C status, and scurvy features, in adult hospitalised patients with protein-energy malnutrition diagnosed using validated malnutrition screening and assessment tools commonly used in clinical practice.

This study included adult inpatients from four acute hospitals within a single Australian tertiary health service, over a 3.5-year period. A medical file review activity retrospectively determined malnutrition risk and diagnosis, via Malnutrition Screening Tool, Malnutrition Universal Screening Tool, Subjective Global Assessment and Global Leadership Initiative on Malnutrition criteria. Prevalence of vitamin C deficiency and scurvy features was examined in adult patients with plasma vitamin C levels <11.4 μmol/L and <5 μmol/L ('undetectable'), respectively.

In the final cohort (n = 364), prevalence of vitamin C deficiency was 30.2%. Malnutrition was present in 76.1% and 79.8% of patients via Subjective Global Assessment (n = 310) and Global Leadership Initiative on Malnutrition criteria (n = 342) respectively. Patients with high nutrition risk and those diagnosed with severe malnutrition had the highest prevalence of vitamin C deficiency, reported as 32.8% for malnutrition detected via Malnutrition Screening Tool (n = 244), 32.9% via Malnutrition Universal Screening Tool (n = 222), 35.8% via Subjective Global Assessment (n = 106), and 34.2% via Global Leadership Initiative on Malnutrition (n = 152). Scurvy features were associated with severe malnutrition in patients with 'undetectable' vitamin C status.

Severely malnourished adult hospital patients have a high prevalence of vitamin C deficiency, and scurvy features in those with 'undetectable' vitamin C status. Leveraging existing malnutrition screening and assessment practices may support early identification of patients with vitamin C deficiency during hospitalisation.

Background/Objectives: Malnutrition frequently occurs following bariatric surgery and can lead to higher morbidity rates, hospitalizations, and extended hospital stays. Nutritional assessment tools such as the Global Leadership Initiative on Malnutrition (GLIM) are not validated for diagnosis of malnutrition following bariatric surgery. This study aimed to assess the validity of GLIM criteria in evaluating the nutritional status of post-sleeve gastrectomy patients compared to the Subjective Global Assessment (SGA). Methods: A total of 47 adult patients who underwent sleeve gastrectomy (SG) from 6 months to 2 years prior were evaluated using the GLIM and SGA. Additionally, multiple pass 24 h recall was collected for two days, and macronutrient analyses were conducted using ESHA software (version 11.11.x). Agreement between both tools was determined using Kappa (κ) statistics, and the Receiver Operating Characteristics (ROC) curve was used to establish sensitivity and specificity. Results: The study found that malnutrition was diagnosed in 48.9% and 42.6% of patients according to the GLIM and SGA criteria, respectively. The GLIM criteria exhibited inadequate accuracy (AUC = 0.533; 95% CI, 0.38-0.72) with a sensitivity and specificity of 55.0% and 55.6%, respectively. The agreement between both tools was determined to be poor (κ = 0.104). Conclusions: GLIM did not show sufficient agreement with SGA. Consequently, the criteria of GLIM may need revision for better diagnosis of malnutrition in post-sleeve gastrectomy patients.

The main causes of malnutrition in patients with gastrointestinal and head and neck cancers include metabolic alterations determined by the tumour and its stage, as well as low food intake caused by the disease itself and the effects of antineoplastic treatment. In the hospital environment, nutritional markers, such as body mass index (BMI), handgrip strength (HGS) and calf circumference (CC), can be used to identify malnutrition early, ensuring individualized and specific nutritional intervention. However, few studies have evaluated the individual performance of nutritional indicators in diagnosing malnutrition in a cancer setting. We aimed to assess the ability of these nutritional indicators to accurately diagnose malnutrition and their association with length of hospital stay (LOS) in patients with cancer.

This cohort study prospectively evaluated 171 patients with gastrointestinal or head and neck cancer. Nutritional status was assessed within 48 hours of hospital admission using BMI, CC and HGS as well as two reference standards: subjective global assessment (SGA) and patient-generated SGA (PG-SGA). The accuracy of each nutritional indicator was measured by the area under the receiver operating characteristic curve (AUC) compared with the reference standards. Multiple logistic regression analysis, adjusted for confounders, was used to determine whether malnutrition was associated with LOS.

Of 171 patients, 59.1% had low CC, 46.2% had low HGS and 13.5% had low BMI. The SGA and PG-SGA scores indicated malnutrition in 57.4% and 87.2% of patients, respectively. All nutritional indicators had poor accuracy in diagnosing malnutrition (AUC < 0.70). However, compared with SGA and PG-SGA, low BMI had satisfactory specificity (>80%) and was associated with 1.79 times higher odds of LOS ≥ 6 days. Malnutrition diagnosed by SGA and PG-SGA increased the odds of LOS ≥ 6 days by 3.60-fold and 2.78-fold, respectively.

Low BMI showed adequate specificity for diagnosing malnutrition and was associated with longer LOS in patients with gastrointestinal or head and neck cancer. Further research is needed to explore how improved screening, interventions and nutritional support could reduce malnutrition rates in cancer patients.

The increase in fat tissue and the decrease in muscle mass with advancing age have prompted researchers to explore the coexistence of sarcopenia and obesity, i.e. sarcopenic obesity (SO). SO may lead to malnutrition due to poor diet quality, while malnutrition may contribute to SO by causing further muscle loss and metabolic imbalances.

The aims were to investigate: (i) the prevalence of SO in community-dwelling older adults, (ii) the diagnostic ability of two different malnutrition methods, and (iii) the association between SO and malnutrition.

Community-dwelling older adults (≥65 years) were invited to participate. SO assessment was conducted based on the ESPEN/EASO consensus criteria. Malnutrition was evaluated based on both the Global Leadership Initiative on Malnutrition (GLIM) criteria and the Mini-Nutritional Assessment (MNA).

Five hundred and ninety older adults (69.3% women, mean age: 74.31 ± 6.55 years) were included in the study. The overall prevalence of SO was 5.9% (n = 35). The prevalence of malnutrition was 23.9% according to the GLIM criteria, while it was 3.1% according to MNA. The agreement between the two measurements was ĸ = 0.32. There was no association between SO and malnutrition based on either GLIM (P: .06, OR: 1.971, 95% CI: 0.966-4.024) or MNA (P: .948, OR: 1.934, 95% CI: 0.119-7.306).

Even though the agreement for diagnosing malnutrition between GLIM criteria and MNA was fair, the number of participants diagnosed with malnutrition by GLIM criteria was almost eight times higher than MNA. No association was established between SO and malnutrition defined by GLIM or MNA.

NCT05122104.

Enhanced recovery after surgery (ERAS) protocols facilitates a standardized patient care regimen with a goal of reducing the metabolic stress of surgery. Adapted to head and neck free flap reconstructive surgery in 2017, these protocols focused on several key domains such as perioperative nutritional optimization, multimodal pain control, and early mobilization. Studies have shown that in addition to ERAS implementation, the maintenance and improvement of ERAS protocol compliance rates improve perioperative outcomes such as hospital length of stay and decrease major postoperative complications.

Malnutrition is a risk factor for postoperative morbidity but the optimal tool for the assessment of malnutrition is unclear.

This is a prospective multicentre cohort study. Consecutive patients undergoing elective or emergency major abdominal surgery for benign or malignant disease in 12 Greek hospitals between January 2022 and December 2023 were included. Patients unable to provide nutrition history and/or informed consent were excluded. Subjective global assessment (SGA) was used as a reference standard for malnutrition diagnosis. GLIM (global leadership initiative on malnutrition), MNA-SF (mini nutrition assessment short form), MST (malnutrition screening tool), MUST (malnutrition universal screening tool), NRI (nutritional risk index), NRS-2002 (nutrition risk scale 2002), PONS (perioperative nutrition screen) and SNAQ (short nutrition assessment questionnaire) tools were applied for malnutrition risk assessments. Indicators of diagnostic accuracy (sensitivity, specificity, diagnostic odds ratio, areas under the receiver operating characteristic curve-AUC), construct validity (convergent associations with relevant variables) and prognostic validity (logistic regression) were appraised.

1649 patients were included (58% colorectal, 21% upper gastrointestinal, 14% hepatobiliary operations). SGA defined 562 (34.1%) patients as malnourished with excellent construct and prognostic validity. Malnutrition risk assessments varied from 24.0% using NRS-2002 to 58.6% with the MNA-SF. On their ordinal scales, MNA-SF (AUC = 0.83, 95% c.i. 0.81 to 0.85) and MUST (AUC = 0.79, 95% c.i. 0.77 to 0.82) had the best discriminatory abilities with minimal between-centre heterogeneity. As binary classifiers, MNA-SF (OR = 30.2; 95% c.i. 20.2 to 45.1) and MUST (OR = 16.1; 95% c.i. 12.4 to 21.1) had the highest diagnostic ORs but only MUST had sensitivity and specificity close to 80%. MUST performed well in construct and prognostic validity appraisals.

This study supports the use of the MUST as it is the most valid nutritional screening tool in patients after major abdominal surgery.

Current perioperative nutrition management is discouraging due to the under-recognition of clinical nutrition and the lagging development of clinical nutriology. This review aimed to identify and explore epidemiology, related adverse outcomes, controversies, and dilemmas of perioperative nutritional risk/malnutrition to call for further development of perioperative nutritional medicine. Databases including PubMed, Embase, Cochrane Library, Wanfang Database, China National Knowledge Infrastructure, China Biology Medicine disc, and Chongqing VIP Database were searched for articles published between January 1, 2014 and August 31, 2024 using the following MeSH terms: ("nutritional risk"[Title/Abstract] OR "malnutrition"[Title/Abstract] OR "undernutrition"[Title/Abstract]) AND ("surgery"[Title/Abstract] OR "surgical"[Title/Abstract] OR "operative"[Title/Abstract] OR "operation"[Title/Abstract]). The incidence of nutritional risk was in the 20% range in patients undergoing elective surgery, 54% in older adults, 44-70% in patients with tumors or major elective surgeries, and 50-55% in children. The incidence of malnutrition ranged from 11-77% in surgical patients. Nutrition-related perioperative adverse events included mainly infection, wound healing disorders, reoperation and unplanned readmission, prolonged hospital stay, mortality, perioperative neurocognitive dysfunction, and venous thrombosis. Current controversies and dilemmas in this field include the low rates of nutrition screening and medical nutrition therapy, numerous nutrition screening tools and malnutrition diagnostic criteria, no consensus on optimal assessment method, low level of evidence-based clinical nutrition research and lack of in-depth mechanistic studies, inconsistent timing of nutrition assessment, lack of reports for community hospitals, small hospitals, and low/middle-income countries or regions, and under-recognition of micronutrient malnutrition. It is, therefore, necessary for perioperative patients to undergo nutritional screening at the first outpatient visit before surgery and/or on admission. Perioperative nutritional management needs urgent attention and requires a multidisciplinary team, including anesthesia, nursing, nutrition, and surgery.

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.

Malnutrition is a highly prevalent condition in patients who are critically ill that has been previously associated with adverse clinical outcomes. The aims of this study are to describe the prevalence of malnutrition using Global Leadership Initiative on Malnutrition (GLIM) criteria and analyze the associations with clinical outcomes using original criteria or the presence of one phenotypic criterion with inflammation measured by C-reactive protein (CRP) in patients with pneumonia and other lung manifestations who are mechanically ventilated.

This retrospective cohort study included patients who are critically ill. Malnutrition was classified using the original GLIM criteria (reduced muscle mass and the assumption of present inflammation because of critical illness) and one phenotypic criterion with severe inflammation (CRP >5 mg/dl). Associations between both groups with clinical outcomes (duration of invasive mechanical ventilation [IMV], length of stay [LOS] on ICU, hospital LOS, ICU mortality, and prolonged ICU LOS) were assessed.

Two hundred and thirty-four patients who were critically ill were included. The prevalence of malnutrition in the established methods GLIM and phenotypic criterion with severe inflammation was 38.4% and 27.7%, respectively. Patients who survived and were diagnosed with malnutrition using inflammation criterion at baseline had longer hospital LOS (31 vs 25 days, P = 0.04). After adjusting for age, clinical diagnosis at admission, and SOFA and APACHE II scores, phenotypic criterion with severe inflammation was associated with duration of IMV (β: 5.7; 95% confidence interval: 0.7-10.7; P = 0.02) and ICU LOS (β: 6.1; 95% CI: 0.8-11.5; P = 0.02).

Malnutrition considering a phenotypic criterion and CRP >5 mg/dl upon ICU admission was associated with duration of IMV and ICU LOS.

Evaluate the nutritional status in older adults in the community, to determine malnutrition, obesity and their risks and to identify determinants related to both clinical situations.

Cross-sectional study. SITE: 3 Primary care health centers in La Rioja in urban, semiurban and rural areas.

409 people ≥ 65 years old who came to receive consultation, with 3 abandonments.

Nutritional assessment by tools screening and anthropometric measurements.

The MNA SF® was used to determine the prevalence of malnutrition and the BMI for obesity. Sociodemographic, socioeconomic, health-disease variables, lifestyle habits, metabolic status, and anthropometric measurements were included. Binary logistic regression was performed to predict dichotomous dependent variables.

The prevalence of malnutrition and its risk (DR) were 18.7% and obesity and its risk were 66,5%. The multivariate model for malnutrition and DR includes polypharmacy, dyslipidemia, sedentary lifestyle, and having mental pathology (OR=3.09, 2.01, 2.12, 1.72, respectively). On the other hand, the probability of presenting obesity is associated with cardiovascular risk, age, excessive-moderate alcohol consumption, hypertension and low adherence to the Mediterranean diet (OR=2.73, 4.27, 2.03, 1.97, 1.81 respectively).

This results stand out that the study population has a poor nutritional status, detecting a risk of malnutrition, obesity and overweight. The identified predictors related to lifestyle habits, presence of diseases, psychosocial problems, metabolic alterations, etc. They can guide the selection of those people who would benefit from screening to detect and approach the risk of malnutrition early.

Appetite is a strong determinant of nutritional status. As cognitive impairment is usually linked to alterations in eating behaviour, people with dementia might experience changes in appetite with the loss of ability to express their needs, including dietary choices and preferences. The aim of the study was to develop an appetite loss screening tool for older adults, inclusive for those with mild to moderate cognitive impairment. The study questionnaire, consisting of 44 binary items related to appetite, was employed among 127 hospitalized older patients (55.9% women, mean age 79.4 ± 7.1 years) with and without cognitive impairment (31.5% categorized as suspected mild dementia, 26.0% as suspected moderate dementia). An exploratory factor analysis was performed to identify items that constitute the final scale, with a Cronbach's alpha coefficient of 0.81. The final tool consists of seven questions, with a sensitivity of 80% and specificity of 80.6%, using the Council on Nutrition Appetite Questionnaire score as reference. Acceptability post-test was performed in 20 patients (70% women, mean age 79.6 ± 5.3 years) to test the clinical feasibility of the scale. The customized design of the scale, according to the recommendation for written materials for individuals with dementia, empowers older adults, supports diagnosis and encourages their proactivity in the treatment process. The scale was found to perform similarly in older persons with and without cognitive impairment, which renders it a versatile assessment tool.

The Global Leadership Initiative on Malnutrition (GLIM) recently proposed a new malnutrition diagnostic tool known as the GLIM criteria. The GLIM criteria need confirmed validation before being widely used in each population or healthcare system. This study aimed to investigate the validation of the GLIM criteria for malnutrition diagnosis in hospitalized patients.

The content validity was assessed by calculating the content validity ratio (CVR) and content validity index (CVI). Subjective global assessment (SGA) is considered the reference tool to diagnose malnutrition in concurrent validation. In addition, the Kuder-Richardson 20 was used to evaluate the reliability of the GLIM criteria. Furthermore, hospital mortality, length of hospitalization (LOS), prolonged hospital stays (LOS >6 days), 30-day hospital readmission, and 30- and 60-day mortality were identified as malnutrition-related outcomes in predictive validity.

A total of 332 adult/elderly hospitalized patients (median age: 58 (IQR: 24.7), 60.5% men) were enrolled to present the study. Appling GLIM criteria by considering the calf circumference < 31 cm in both genders or mid-upper arm (MUAC) < 23 cm in men and MUAC <22 cm in women as reduced muscle mass had an appropriate accuracy (84.6 and 83.4%, respectively), good ability to distinguish malnourished patients (AUC ROC: 0.85 and 0.83, respectively), satisfactory sensitivity (89.58 and 84.02%, respectively), and satisfactory specificity (81 and 83%, respectively) compared to the SGA tool. Furthermore, the reliability of the GLIM criteria for malnutrition diagnosis in hospitalized patients was acceptable in all 3 applied approaches (KR-20 > 0.5). The malnutrition diagnosed by GLIM criteria could significantly predict the odds of prolonged hospital stays, 30-day hospital readmission, and 60-day mortality, while it had no significant association with the risk of hospital mortality.

The current study revealed that applying GLIM criteria had satisfactory validity in diagnosing hospital malnutrition in non-critically ill hospitalized patients.

To assess the prevalence of malnutrition in hospitalised adult patients, and to evaluate the accuracy of the most commonly used nutritional screening tools for identifying individuals at risk of malnutrition.

A prospective cross-sectional study was conducted on a total of 248 hospitalised patients in internal medicine wards (mean age: 75.2 years; 39.5% females). Nutritional screening was performed within 48 h of admission using the following tools: Malnutrition Universal Screening Tool (MUST), Nutrition Risk Screening Tool (NRS-2002), Malnutrition Screening Tool (MST), Short Nutritional Assessment Questionnaire (SNAQ), and Mini Nutritional Assessment Short Form (MNA-SF). The criteria of the European Society for Clinical Nutrition and Metabolism (ESPEN) were used as the gold standard for defining malnutrition. Patients were also evaluated using the Subjective Global Assessment (SGA) and the Global Leadership Initiative on Malnutrition (GLIM) criteria. Accuracy was determined by examining sensitivity, specificity, and positive and negative predictive values, and diagnostic agreement was determined by calculation of Cohen's kappa (κ). The study is reported as per the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

The ESPEN criteria classified 20.2% of the hospitalised patients as malnourished. Overall, the MUST had the highest sensitivity (80.0%), specificity (74.7%) and positive predictive value (44.4%). For the subgroup of patients aged >65 years, the MNA-SF had high sensitivity (94.4%) but low specificity (39.0%). Based on Cohen's κ, the SGA and GLIM criteria showed low agreement with the ESPEN criteria.

The MUST was the most accurate nutritional screening tool, through the MST is more easily applied in many clinical settings. A comprehensive assessment of malnutrition that considers muscle mass is crucial for the reliable diagnosis of malnutrition.

The present findings underscore the importance of accurate assessment of the malnutrition status of hospitalised patients and the need for a reliable screening tool. No patient or public contribution.

The two-step Global Leadership Initiative on Malnutrition (GLIM) approach was recently introduced to malnutrition diagnosis in a hospital setting. This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening-2002 (NRS-2002) as a screening tool and the direct application of GLIM malnutrition diagnostic criteria in hospitalized patients.

This cross-sectional study involved 290 adult and older adult patients who were hospitalized. A trained nutritionist implemented the two-step GLIM approach, including NRS-2002 (in the first step) and GLIM criteria (in the second step) for each patient. Then, the accuracy, kappa index, area under the receiver operating characteristic curve (AUC ROC), sensitivity, and specificity of malnutrition diagnostic performance of the two-step GLIM approach and NRS-2002 were evaluated compared to the direct use of GLIM criteria.

The NRS-2002 identified 145 (50.0%) patients as at risk of malnutrition. The prevalence of malnutrition using the two-step GLIM approach and GLIM malnutrition diagnosis criteria were 120 (41.4%) and 141 (48.6%), respectively. The kappa index showed substantial and almost perfect agreement for NRS-2002 (κ = 68%) and the two-step GLIM approach (κ = 85%) with GLIM malnutrition diagnostic criteria, respectively. Furthermore, the AUC ROC (0.926; 95% confidence interval (CI): 0.89-0.96) and accuracy (92.8%) of the two-step GLIM approach compared to the GLIM criteria indicated an acepptable ability to distinguish between malnourished and well-nourished patients.

The two-step GLIM approach using NRS-2002 as a screening tool (in step one) had acceptable malnutrition diagnostic performance compared to the direct application of GLIM criteria in hospitalized patients.

The aim of this study was to pilot a protocol for prospective validation of the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospital patients and evaluate its feasibility and patient acceptability.

The validation protocol follows the GLIM consortium's rigorous methodological guidance. Protocol feasibility was assessed against criteria on recruitment (≥50%) and data collection completion (≥80%); protocol acceptability was assessed via patient satisfaction surveys and interviews. Adult inpatients in a tertiary hospital underwent four nutrition assessments (each by a different assessor); two Subjective Global Assessments (SGAs) and two GLIM assessments. All five GLIM criteria were assessed with bioelectrical impedance analysis used for muscle mass. Interrater reliability, criterion validity, and predictive validity were reported to detect trends.

All primary feasibility criteria were met (consent rate 76%; data for GLIM criterion validity collected on 83% participants). Of predictive outcome data, 100% of hospital-related data, 82% of 6-month mortality data, and 39% of 6-month health-related quality of life data were collected. The mean (SD) age of participants was 61.0 ± 16.2 years, and 51.5% were male. The median (interquartile range) length of stay and body mass index were 7 (4-15) days and 25.6 (24.2-33.0) kg/m2, respectively. GLIM criteria diagnosed 70% of the patients as malnourished vs 55% with SGA. Most patients found the data collection acceptable with minimal burden.

The methods outlined in this rigorous GLIM validation protocol are feasible to undertake in hospitals and acceptable to patients. This paper provides practical methodological guidance for future prospective GLIM validation studies.

Malnutrition remains common in adults over 60 years old. Although there are screening and diagnostic tools for malnutrition, there is no globally used approach to diagnosing malnutrition in older adults admitted to the hospital. In this study, we verified the agreement between the Global Leadership Initiative on Malnutrition (GLIM) and the Mini Nutritional Assessment (MNA) and the ability of the instruments to identify frailty and sarcopenia associated with malnutrition.

For adults over 60 years old, malnutrition diagnosis was performed using the Mini Nutritional Assessment Full Form (MNA-FF) tool and the GLIM criteria, which included calf circumference and fat-free mass index to assess muscle mass, with and without the Mini Nutritional Assessment Short Form (MNA-SF) screening. Health conditions were assessed in older adults, and the association of these conditions with malnutrition was analyzed using both tools.

A total of 432 adults over 60 years old were investigated with a mean age of 71.14 ± 8 years. The GLIM criteria with the nutritional screening tool identified 61-63% of older adults as malnourished. Of these, 63-64% were severely malnourished. The MNA-FF tool classified 20% of those assessed as malnourished. The agreement between the MNA-FF and GLIM was better with the use of screening, with a kappa (K) value of -0.10 and - 0.11. Sarcopenia was associated with malnutrition as identified by the MNA-FF (OR: 3.08, 95% CI: 1.84-5.14) and only by the GLIM ANTHRO (OR: 1.66, 95% CI: 1.05-2.63). Frailty was associated with the MNA-FF (OR: 15.99, 95% CI: 2.16-118.36), GLIM ANTHRO (OR: 2.21, 95% CI: 1.31-3.71), and GLIM BIA (OR: 2.45, 95% CI: 1.45-4.12).

It is possible to verify that divergent conceptual frameworks are used to understand malnutrition by the MNA-FF and GLIM and that the GLIM obtained a greater number of malnutrition diagnoses. Both the GLIM ANTHRO and the MNA-FF associated malnutrition with frailty and sarcopenia, with higher hazard ratios for the MNA-FF.

A minority of studies using the GLIM criteria for malnutrition diagnosis have performed formal empirical validation.

To evaluate the concurrent and predictive validity of GLIM criteria with and without prior screening among community-dwelling older adults in Singapore.

In the Singapore Longitudinal Aging Study (SLAS-2, n = 2477), malnutrition was diagnosed using single-step and two-step GLIM procedures using the Mini Nutritional Assessment Short Form (MNA-SF) and Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) for initial screening. Criterion validity was evaluated using MNA-Full Form (MNA-FF) as reference malnutrition diagnosis. Prognostic validity was evaluated using logistic and Cox regression analyses with respect to impaired quality of life (QoL) and 10-year mortality.

GLIM malnutrition with and without MNA-SF or ENIGMA screening showed significant associations with known clinical correlates; single-step GLIM malnutrition: sensitivity = 80%, specificity = 83%; two-step MNA-SF-GLIM malnutrition: sensitivity = 80%, specificity = 85%; two-step ENIGMA-GLIM malnutrition: sensitivity = 74%, specificity = 88%; positive predictive values of around 20% and negative predictive values above 98%. Cohen's kappa values of agreement were uniformly low (0.26 to 0.32). All showed significant associations with about 50% increased odds of impaired QoL and 10-year mortality, adjusted for age, sex, ethnicity, education levels, and housing type, with the ENIGMA-GLIM malnutrition showing the highest risk estimates. Compared to MNA-FF malnutrition prevalence of 4.1%, GLIM-based malnutrition increased prevalence (14.6% to 19.7%) estimates.

The GLIM criteria showed good construct and criterion validity. It increased the number of individuals diagnosed with malnutrition. The agreement between diagnoses of malnutrition was low. Diagnostic and prognostic accuracy vary with the screening instrument used. Early identification of malnutrition using appropriate tools can provide opportunities to delay or prevent the risk of important adverse outcomes such as impaired QoL and mortality.

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.

Many cancer patients experience malnutrition, which can worsen their health and survival outcomes. However, limited research exists in our region on how common malnutrition is among hospitalized adults with solid tumors and what factors contribute to it. This study aimed to identify these factors and assess the effects of nutritional impact symptoms (NISs) caused by solid tumors on patients' nutritional status.

Between July 2022 and February 2023, a cross-sectional study was carried out on the campuses of two major cancer treatment centers located in a national university hospital and a governmental hospital. Twelve NISs were adopted from the Patient-Generated Subjective Global Assessments (PG-SGA). The Nutrition Risk Screening 2002 (NRS-2002) instrument was used to thoroughly assess the risk of malnutrition. Multiple linear regressions were used to conduct a thorough study.

A cohort of 294 participants was included. The prevalence of malnutrition risk (NRS score ≥ 3) was 26.9%. Parameters such as age, gender, marital status, educational level, monthly income, type of cancer and treatment modality, and the need for mealtime assistance exhibited statistically significant associations with malnutrition (p < 0.05). The results revealed a substantial inverse correlation between fluid intake and the NRS-2002 score (p < 0.001). Furthermore, symptoms related to solid tumors and their treatment, including chewing difficulties, fatigue, dry mouth, anorexia, constipation, nausea, dizziness, and a sensation of fullness, were also significantly associated with malnutrition (p < 0.05). Additional insights from the regression analysis underscored the independent correlation between the risk of malnutrition in solid malignant malignancies and factors such as anorexia (p < 0.001), colorectal cancer (p = 0.003), gender (p = 0.018), educational attainment (p = 0.049), and the need for mealtime assistance among patients (p < 0.001).

Malnutrition is a major issue among adult cancer patients, particularly those with solid tumors. Anorexia, colorectal cancer, gender, educational attainment, and the need for mealtime assistance were identified as factors that led to malnutrition in our research. This study emphasizes the need for a multidisciplinary plan of care to diagnose and treat malnutrition, improve overall therapy, and reduce mortality and morbidity.

Undernutrition and inflammatory processes are predictors of early mortality in the elderly and require a rapid and accurate diagnosis. Currently, there are laboratory markers for assessing nutritional status, but new markers are still being sought. Recent studies suggest that sirtuin 1 (SIRT1) has the potential to be a marker for undernutrition. This article summarizes available studies on the association of SIRT1 and undernutrition in older people. Possible associations between SIRT1 and the aging process, inflammation, and undernutrition in the elderly have been described. The literature suggests that low SIRT1 levels in the blood of older people may not be associated with physiological aging processes, but with an increased risk of severe undernutrition associated with inflammation and systemic metabolic changes.

The scored Patient-Generated Subjective Global Assessment (PG-SGA©) is a validated tool for the screening, assessment and monitoring of malnutrition, and triaging of interventions. It contains a patient-generated component and a healthcare professional (HCP)-generated component.

To translate the PG-SGA into Swedish, assess the linguistic and content validity of the Swedish version, and ensure conceptional, semantic and operational equivalence to the original English PG-SGA.

In line with the methodology used in previously translated and culturally adapted versions, the standardised 10-step process suggested by the International Society for Health Economics and Outcomes Research (ISPOR) was followed. In step 7, a cross-sectional study targeting patients n = 51 and HCPs n = 52 was performed at a university hospital in Sweden. Using separate questionnaires, patients assessed the patient component and HCPs, the professional component regarding perceived comprehensibility and difficulty (linguistic validity). The HCPs also assessed perceived relevance (content validity) of all items on the PG-SGA. Item indices for comprehensibility (I-CI), difficulty (I-DI) and content validity (I-CVI) were calculated and averaged into scale indices (S-CI, S-DI and S-CVI). Cut-off standards for item and scale indices were used as reference.

The Swedish version of the PG-SGA rated excellent for comprehensibility (S-CI 0.96) and difficulty (S-DI 0.93) for the patient component. The professional component rated acceptable for comprehensibility (S-CI 0.89) and below acceptable for difficulty (S-DI 0.70), with the physical examination rated most difficult (I-DI 0.39 to 0.69). Content validity for the full Swedish PG-SGA was rated excellent (S-CVI 0.94).

The patient component was considered clear and easy to complete. The full Swedish PG-SGA was considered relevant by HCPs for screening and assessment of malnutrition. Due to perceived difficulty with the physical examination, training of Swedish HCPs in using the PG-SGA is essential before implementing the professional component into clinical practice or research.

Liver cancer represents a grave hepatic condition and constitutes a significant global health concern. Surgical resection remains the principal therapeutic modality for liver cancer. Nevertheless, perioperative malnutrition exerts a notable impact on patients with liver cancer, emerging as an independent risk factor for disease mortality and adverse outcomes. Hence, precise nutritional diagnosis and timely nutritional support hold the potential to enhance therapeutic efficacy and quality of life for liver cancer patients. This study represents a meticulous foray into the literature, extracting data from PubMed, Web of Science, and EMBASE databases, with a focus on the past 5 years. It scrutinizes the impact of malnutrition on patients undergoing liver cancer surgery, the etiological underpinnings of malnutrition within this patient cohort, the critical assessment of perioperative nutritional status, and the strategic approaches to nutritional support. Utilizing rigorous inclusion and exclusion criteria, the amassed scholarly works are meticulously synthesized, methodically organized, and categorically elaborated upon. Ultimately, the authors propose the incorporation of a multidisciplinary nutrition management team during the perioperative period, comprising nutritionists, pharmacists, physicians, nurses, psychologists, and rehabilitation therapists, among other specialized professionals. Together, they collaborate to devise and implement personalized nutritional support plans, monitor patients' nutritional status, and make necessary adjustments as required. Through comprehensive management and intervention, improvements in the nutritional status of liver cancer patients can be achieved, thereby enhancing surgical success rates and facilitating postoperative recovery. It is believed that this manuscript will offer valuable insights to advance the nutritional management during the perioperative phase of liver cancer, aiding in ameliorating patients' nutritional status and treatment outcomes.

The present study aims to assess the interrater reliability of the Global Leadership Initiative on Malnutrition (GLIM) criteria, a framework to provide a consensus diagnosis of malnutrition. We also aimed to investigate its concurrent and predictive validity in the context of patients with cancer admitted to the intensive care unit (ICU).

Individuals aged ≥19 years with cancer who were admitted to the ICU within 48 h of their initial hospital admission were included. Nutrition status was assessed with the Nutritional Risk Screening 2002, the Subjective Global Assessment (SGA), and the GLIM criteria. Interrater reliability was assessed by the kappa test (>0.80). The SGA served as the established benchmark for assessing concurrent validity. To evaluate predictive validity, the occurrence of mortality within 30 days was the outcome, and Cox regression models were applied.

A total of 212 patients were included: 66.9% were at nutrition risk, and 45.8% were malnourished according to the SGA. According to the GLIM criteria, 68.4% and 66% were identified as malnourished by evaluators 1 and 2, respectively (κ = 0.947; P < 0.001). The GLIM combination incorporating weight loss and the presence of inflammation exhibited sensitivity (82.4%) and specificity (92%). In the multivariate Cox regression models, most GLIM combinations emerged as independent predictors of complications.

The GLIM criteria demonstrated satisfactory interrater reliability, and the combination involving weight loss and the presence of inflammation exhibited noteworthy sensitivity and specificity. Most GLIM combinations emerged as independent predictors of 30-day mortality.

The utilization of recommended nutritional assessment measures in rehabilitation settings remains unclear. This study explored methods for identifying nutritional disorders using data from a nationwide survey conducted in convalescent rehabilitation wards.

This cross-sectional study analyzed the annual survey, including methods for identifying malnutrition, the risk of malnutrition, and overnutrition in Kaifukuki (convalescent) rehabilitation wards. Methods identifying malnutrition and risk of malnutrition were grouped into nutritional screening tools (NSTs), nutritional assessment tools (NATs), diagnostic criteria for malnutrition (DCM), and suboptimal methods (e.g., hypoalbuminemia). NSTs, NATs, and DCM were further categorized as "acceptable tools." The association between applying acceptable tools, hospital-based data (e.g., the number of beds), and ward-based data (e.g., assessor for nutritional status) was analyzed by logistic regression analysis with multiple imputations.

In total, 885 hospitals with Kaifukuki rehabilitation wards responded to the survey, and 754 hospitals were included in the analysis. Registered dietitians assessed the nutritional status in 88% of the hospitals, whereas other professionals (e.g., nurses) evaluated the nutritional status in the remainder. NSTs (e.g., Mini Nutritional Assessment Short-Form), NATs (e.g., Subjective Global Assessment), DCM (e.g., Global Leadership Initiative on Malnutrition criteria), and suboptimal tools were used in 13.1%, 5.4%, 4.8%, and 74.6% of cases, respectively. Most hospitals used acceptable measures (e.g., body mass index) for overnutrition (91.2%). Multiple logistic regression analysis showed that assessments by registered dietitians (adjusted odds ratio[OR]: 2.20.95% confidence interval[CI]: 1.09-4.45) and hospital-owned food services, a proxy for limited clinical practice time of dietitians, were associated with a low likelihood of implementing acceptable measures (adjusted OR: 0.64, 95%CI: 0.43-0.97).

Acceptable malnutrition measures, including the NSTs, NATs, and DCM, have not been widely applied in convalescent rehabilitation settings. The implementation of recommended tools for identifying malnutrition may be promoted when registered dietitians assess the patients' nutritional status.

Malnutrition is a critical concern in ICU settings. It is associated with increased morbidity and mortality, yet its prevalence and impact on clinical outcomes in patients with stroke and traumatic brain injury (TBI) remain underexplored.

To evaluate the prevalence and impact of malnutrition risk on clinical outcomes in ICU patients with TBI, ischemic stroke, and hemorrhagic stroke, and to identify key risk factors associated with malnutrition risk.

This retrospective cohort study utilized electronic health records encompassing ICU admissions from 2017 to 2023. Patients with either stroke or TBI were included, with malnutrition risk assessed using the prognostic nutritional index. Data were extracted and analyzed to determine patient characteristics, clinical and laboratory parameters, and outcomes.

This study included 1352 patients (267 TBI, 825 ischemic stroke, and 260 hemorrhagic stroke patients, >30% with pneumonia at admission). Severe malnutrition risk at admission was observed in over 60% of patients. Stroke patients, particularly those with hemorrhagic stroke, exhibited a higher risk of malnutrition compared to TBI patients. Malnutrition risk was associated with significantly higher hospital mortality and increased need for mechanical ventilation. Predictive factors for malnutrition risk included advanced age, higher SOFA scores, lower FOUR and GCS scores, and the presence of pneumonia at admission.

Risk of malnutrition is highly prevalent among ICU patients with TBI, ischemic, and hemorrhagic stroke, significantly impacting mortality and other clinical outcomes. Identifying and managing malnutrition early in the ICU setting is crucial for improving patient outcomes. Further prospective, multicenter studies are needed to validate these findings and develop effective interventions.