Association between diet quality and malnutrition: pooled results from two population-based studies in older adults.

BACKGROUND: 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. OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: Adherence to high diet-quality patterns was associated with lower frequency of malnutrition among older adults. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov identifier: NCT02804672. June 17, 2016.; ClinicalTrials.gov NCT03541135. May 30, 2018.

Dependency and frailty in the older haemodialysis patient.

BACKGROUND: Frailty among older adults undergoing hemodialysis is increasingly prevalent, significantly impacting cognitive function, mobility, and social engagement. This study focuses on the clinical profiles of very older adults in hemodialysis, particularly examining the interplay of dependency and frailty, and their influence on dialysis regimens. METHODS: In this observational, descriptive study, 107 patients aged over 75 from four outpatient centers and one hospital unit were examined over a year. Patient data encompassed sociodemographic factors, dialysis specifics, analytical outcomes, lifestyle elements, and self-reported post-treatment fatigue. Malnutrition-inflammation scale was used to measure the Nutritional status; MIS scale for malnutrition-inflammation, Barthel index for dependency, Charlson comorbidity index; FRIED scale for frailty and the SF12 quality of life measure. RESULTS: The study unveiled that a substantial number of older adults on hemodialysis faced malnutrition (55%), dependency (21%), frailty (46%), and diminished quality of life (57%). Patients with dependency were distinctively marked by higher comorbidity, severe malnutrition, enhanced frailty, nursing home residency, dependency on ambulance transportation, and significantly limited mobility, with 77% unable to walk. Notably, 56% of participants experienced considerable post-dialysis fatigue, correlating with higher comorbidity, increased dependency, and poorer quality of life. Despite varying clinical conditions, dialysis patterns were consistent across the patient cohort. CONCLUSIONS: The older adult cohort, averaging over four years on hemodialysis, exhibited high rates of comorbidity, frailty, and dependency, necessitating substantial support in transport and living arrangements. A third of these patients lacked residual urine output, yet their dialysis regimen mirrored those with preserved output. The study underscores the imperative for tailored therapeutic strategies to mitigate dependency, preserve residual renal function, and alleviate post-dialysis fatigue, ultimately enhancing the physical quality of life for these patients.

Standard Nutritional Assessment Tools Are Unable to Predict Loss of Muscle Mass in Patients Due to Undergo Pancreatico-Duodenectomy: Highlighting the Need for Detailed Nutritional Assessment.

BACKGROUND AND METHODS: Pancreatico-duodenectomy (PD) carries significant morbidity and mortality, with very few modifiable risk factors. Radiological evidence of sarcopenia is associated with poor outcomes. This retrospective study aimed to analyse the relationship between easy-to-use bedside nutritional assessment techniques and radiological markers of muscle loss to identify those patients most likely to benefit from prehabilitation. RESULTS: Data were available in 184 consecutive patients undergoing PD. Malnutrition was present in 33-71%, and 48% had a high visceral fat-to-skeletal muscle ratio, suggestive of sarcopenic obesity (SO). Surgical risk was higher in patients with obesity (OR 1.07, 95%CI 1.01-1.14, p = 0.031), and length of stay was 5 days longer in those with SO (p = 0.006). There was no correlation between skeletal muscle and malnutrition using percentage weight loss or the malnutrition universal screening tool (MUST), but a weak correlation between the highest hand grip strength (HGS; 0.468, p < 0.001) and the Global Leadership in Malnutrition (GLIM) criteria (-0.379, p < 0.001). CONCLUSIONS: Nutritional assessment tools give widely variable results. Further research is needed to identify patients at significant nutritional risk prior to PD. In the meantime, those with malnutrition (according to the GLIM criteria), obesity or low HGS should be referred to prehabilitation.

Managing Undernutrition in Pediatric Oncology: A Consensus Statement Developed Using the Delphi Method by the Polish Society for Clinical Nutrition of Children and the Polish Society of Pediatric Oncology and Hematology.

"Managing Undernutrition in Pediatric Oncology" is a collaborative consensus statement of the Polish Society for Clinical Nutrition of Children and the Polish Society of Pediatric Oncology and Hematology. The early identification and accurate management of malnutrition in children receiving anticancer treatment are crucial components to integrate into comprehensive medical care. Given the scarcity of high-quality literature on this topic, a consensus statement process was chosen over other approaches, such as guidelines, to provide comprehensive recommendations. Nevertheless, an extensive literature review using the PubMed database was conducted. The following terms, namely pediatric, childhood, cancer, pediatric oncology, malnutrition, undernutrition, refeeding syndrome, nutritional support, and nutrition, were used. The consensus was reached through the Delphi method. Comprehensive recommendations aim to identify malnutrition early in children with cancer and optimize nutritional interventions in this group. The statement underscores the importance of baseline and ongoing assessments of nutritional status and the identification of the risk factors for malnutrition development, and it presents tools that can be used to achieve these goals. This consensus statement establishes a standardized approach to nutritional support, aiming to optimize outcomes in pediatric cancer patients.

Prognostic Nutritional Index and Instant Nutritional Assessement Are Associated with Clinical Outcomes in a Geriatric Cohort of Acutely Inpatients.

BACKGROUND: Among elderly inpatients, malnutrition is one of the most important predictive factors affecting length of stay (LOS), mortality, and risk of re-hospitalization. METHODS: We conducted an observational, retrospective study on a cohort of 2206 acutely inpatients. Serum albumin and lymphocytes were evaluated. Instant Nutritional Assessment (INA) and the Prognostic Nutritional Index (PNI) were calculated to predict in-hospital mortality, LOS, and risk of rehospitalization. RESULTS: An inverse relationship between LOS, serum albumin, and PNI were found. Deceased patients had lower albumin levels, lower PNI values, and third- and fourth-degree INA scores. An accurate predictor of mortality was PNI (AUC = 0.785) after ROC curve analysis; both lower PNI values (HR = 3.56) and third- and fourth-degree INA scores (HR = 3.12) could be independent risk factors for mortality during hospitalization after Cox regression analysis. Moreover, among 309 subjects with a lower PNI value or third- and fourth-class INA, hospitalization was re-hospitalization. CONCLUSIONS: PNI and INA are two simple and quick-to-calculate tools that can help in classifying the condition of hospitalized elderly patients also based on their nutritional status, or in assessing their mortality risk. A poor nutritional status at the time of discharge may represent an important risk factor for rehospitalization in the following thirty days. This study confirms the importance of evaluating nutritional status at the time of hospitalization, especially in older patients. This study also confirms the importance for adequate training of doctors and nurses regarding the importance of maintaining a good nutritional status as an integral part of the therapeutic process of hospitalization in acute departments.

Nutritional Prognosis of Patients Submitted to Radiotherapy and Its Implications in Treatment.

Oncological patients show intense catabolic activity, as well as a susceptibility to higher nutritional risk and clinical complications. Thus, tools are used for monitoring prognosis. Our objective was to analyze the nutrition prognosis of patients who underwent radiotherapy, correlating it with outcomes and complications. We performed a retrospective transversal study based on secondary data from hospital records of patients who started radiotherapy between July 2022 and July 2023. We established Prognostic Scores through a combination of Prognostic Nutritional Index (PNI) and a Subjective Global Assessment (SGA), assessed at the beginning and end of treatment. Score 3 patients, with PNI ≤ 45.56 and an SGA outcome of malnutrition, initially presented a higher occurrence of odynophagia, later also being indicative of reduced diet volume, treatment interruption, and dysphagia. SGA alone showed sensitivity to altered diet volume, dysphagia, and xerostomia in the second assessment. Besides this, PNI ≤ 45.56 also indicated the use of alternative feeding routes, treatment interruption, and hospital discharge with more complications. We conclude that the scores could be used to indicate complications; however, further studies on combined biomarkers are necessary.

The Knowledge of Malnutrition-Geriatric (KoM-G) 2.0 Questionnaire for Health Care Institutions: Cross-Cultural Adaptation into German, Czech, Dutch and Turkish.

It is necessary for nursing staff to have adequate knowledge of malnutrition in older people in order to provide high quality care. This study was conducted to update the Knowledge of Malnutrition-Geriatric (KoM-G) questionnaire to fit different settings and to cross-culturally adapt it to the German, Czech, Dutch and Turkish languages. In Part 1 of the study, the KoM-G questionnaire was updated and adapted for use in different settings. Content validation of the KoM-G 2.0 was carried out in a Delphi study with 16 experts. The final KoM-G 2.0 questionnaire consists of 16 items with a Scale Content Validity Index/Average of 94.5%. In Part 2, the English KoM-G 2.0 was cross-culturally adapted into the German, Czech, Dutch and Turkish languages. In the pilot test, between 96.9% (The Netherlands) and 97.8% (Austria) of the nursing staff rated the items as understandable. The KoM-G 2.0 is an up-to-date questionnaire with a highly satisfactory Content Validity Index. It was cross-culturally adapted into the German, Czech, Dutch, and Turkish languages, and the understandability was high. At the moment, the necessary comprehensive psychometric testing of the KoM-G 2.0 is in process. Afterwards it can be used to compare nurses' knowledge between various countries and settings.

Targeted metabolomic profiles of serum amino acids are independently correlated with malnutrition in older adults.

BACKGROUND: Malnutrition is a common geriatric syndrome that is closely associated with adverse clinical outcomes and poses significant harm to older adults. Early assessment of nutritional status plays a crucial role in preventing and intervening in cases of malnutrition. However, there is currently a lack of measurable methods and biomarkers to evaluate malnutrition in older adults accurately. The aim of this study is to investigate the independent correlation between serum levels of amino acids and malnutrition in older adults, and to identify effective metabolomics biomarkers that can aid in the early detection of geriatric malnutrition. METHODS: A total of 254 geriatric medical examination participants from Beijing Hospital were included in the study, consisting of 182 individuals with normal nutritional status (Normal group) and 72 patients at risk of malnutrition or already malnourished (MN group). Malnutrition was assessed using the Mini-Nutritional Assessment Short-Form (MNA-SF). Demographic data were collected, and muscle-related and lipid indexes were determined. Serum amino acid concentrations were measured using isotope dilution liquid chromatography-tandem mass spectrometry (LC-MS/MS). The correlation between serum amino acid levels and malnutrition was analyzed using non-parametric tests, partial correlation analysis, linear regression, and logistic regression. RESULTS: The geriatric MN group exhibited significantly lower serum aromatic amino acid levels (P < 0.05) compared to the normal group. A positive correlation was observed between serum aromatic amino acid levels and the MNA-SF score (P = 0.002), as well as with known biomarkers of malnutrition such as body mass index (BMI) (P < 0.001) and hemoglobin (HGB) (P = 0.005). Multivariable logistic or linear regression analyses showed that aromatic amino acid levels were negatively correlated with MN and positively correlated with the MNA-SF score, after adjusting for some confounding factors, such as age, gender, BMI, smoking status, history of dyslipidemia, diabetes mellitus and frailty. Stratified analyses revealed that these trends were more pronounced in individuals without a history of frailty compared to those with a history of frailty, and there was an interaction between aromatic amino acid levels and frailty history (P = 0.004). CONCLUSION: Our study suggests that serum aromatic amino acids are independently associated with malnutrition in older adults. These results have important implications for identifying potential biomarkers to predict geriatric malnutrition or monitor its progression and severity, as malnutrition can result in poor clinical outcomes.

Educational nutritional intervention to prevent loss of health-related quality of life among older adults after a surgical treatment: design of a randomised controlled trial.

BACKGROUND: Disease-related malnutrition after a hospital stay has major consequences for older adults, the healthcare system and society. This study aims to develop and test the effectiveness of an educational video to prevent loss of health-related quality of life among live-at-home older adults after surgical treatment in a hospital. METHOD: This randomised controlled trial will occur at a regional hospital in Norway. Participants will be live-at-home adults aged 65 years and older. They will be recruited from three different surgical departments after a surgical procedure. Individuals with a body mass index below 24 and a home address in one of nine selected municipalities will be eligible for inclusion. Participants will be randomly assigned to either the intervention group or the control group. Those assigned to the intervention group will obtain access to a 6-min educational video 5 days after being discharged from the hospital. The control group will not obtain access to the video. The primary outcome will be health-related quality of life using the Norwegian Rand 36-Item Short Form Health Survey. Furthermore, we will measure body composition, number of readmissions and nutritional knowledge at inclusion and 3-month follow-up. DISCUSSION: This randomised controlled trial is expected to provide insight into whether an educational video can improve the nutritional status of older adults following a surgical procedure and discharge from the hospital. The findings will be useful for assessing how videos offering nutritional advice to older adults who have undergone a surgical procedure can improve their health-related quality of life, reduce loss of function, prevent readmission to hospital and reduce healthcare costs. TRIAL REGISTRATION: ClinicalTrials.gov NCT05950373. Registered on 11 July 2023.

Myokines and Biomarkers of Frailty in Older Inpatients with Undernutrition: A Prospective Study.

BACKGROUND: Population aging might increase the prevalence of undernutrition in older people, which increases the risk of frailty. Numerous studies have indicated that myokines are released by skeletal myocytes in response to muscular contractions and might be associated with frailty. This study aimed to evaluate whether myokines are biomarkers of frailty in older inpatients with undernutrition. METHODS: The frailty biomarkers were extracted from the Gene Expression Omnibus and Genecards datasets. Relevant myokines and health-related variables were assessed in 55 inpatients aged ≥ 65 years from the Peking Union Medical College Hospital prospective longitudinal frailty study. Serum was prepared for enzyme-linked immunosorbent assay using the appropriate kits. Correlations between biomarkers and frailty status were calculated by Spearman's correlation analysis. Multiple linear regression was performed to investigate the association between factors and frailty scores. RESULTS: The prevalence of frailty was 13.21%. The bioinformatics analysis indicated that leptin, adenosine 5'-monophosphate-activated protein kinase (AMPK), irisin, decorin, and myostatin were potential biomarkers of frailty. The frailty group had significantly higher concentrations of leptin, AMPK, and MSTN than the robust group (p < 0.05). AMPK was significantly positively correlated with frailty (p < 0.05). The pre-frailty and frailty groups had significantly lower concentrations of irisin than the robust group (p < 0.05), whereas the DCN concentration did not differ among the groups. Multiple linear regression suggested that the 15 factors influencing the coefficients of association, the top 50% were the ADL score, MNA-SF score, serum albumin concentration, urination function, hearing function, leptin concentration, GDS-15 score, and MSTN concentration. CONCLUSIONS: Proinflammatory myokines, particularly leptin, myostatin, and AMPK, negatively affect muscle mass and strength in older adults. ADL and nutritional status play major roles in the development of frailty. Our results confirm that identification of frailty relies upon clinical variables, myokine concentrations, and functional parameters, which might enable the identification and monitoring of frailty.

Association between a malnutrition screening tool and mealtime observation checklist items in older people receiving oral intake support: A cross-sectional study of four long-term care facilities.

BACKGROUND: Multiple nutritional screening tools are available for older people; however, few screening tools include specific eating behaviours as risk factors that could lead to poor food intake. The 24-item mealtime observation checklist (MOCL), developed by the Japanese Ministry of Health, Labour and Welfare in 2015, comprises signs, symptoms and conditions during mealtime that reflect eating and swallowing functions and oral conditions. OBJECTIVES: To examine factors associated with malnutrition among the MOCL items in older people. METHODS: A cross-sectional study was conducted using data from a retrospective cohort study conducted at four long-term care facilities in Japan. Among the older people residing in the facilities, 198 who received oral intake support were included in the analyses. Nutritional status was assessed using the Mini Nutritional Assessment-Short Form (MNA®-SF), and comparisons were made between 'malnutrition' and 'at-risk or well-nourished'. The association between each MOCL item and malnutrition was assessed using multivariable logistic regression analysis. RESULTS: Of the 198 participants, 98 (49.5%) were classified as 'malnutrition', 98 (49.5%) as 'at-risk' and 2 (1%) as 'well-nourished' by MNA®-SF. After adjusting for participant characteristics such as age and sex, significant associations with malnutrition were observed for four items from the 24-item MOCL: 'Has fatigue due to extended mealtime (odds ratio [OR] = 3.20, 95% confidence interval [CI]: 1.36-7.53)', 'Food residues in the oral cavity are conspicuous (OR = 2.77, 95% CI: 1.38-5.52)', 'Has difficulty swallowing food and takes time to swallow (OR = 3.78, 95% CI: 1.45-9.84)' and 'Assisted feeding is required (OR = 3.70, 95% CI: 1.73-7.91)'. CONCLUSIONS: The four signs, symptoms and conditions during mealtime identified in this study may be associated with malnutrition in older people. IMPLICATIONS FOR PRACTICE: These may indicate the potential eating problems that can lead to malnutrition. By incorporating them into early intervention and prevention measures, health care providers may help prevent malnutrition and improve the nutritional status of older people.

Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.

BACKGROUND: Malnutrition in hospitalised patients can lead to serious complications, worse patient outcomes and longer hospital stays. State-of-the-art screening methods rely on scores, which need additional manual assessments causing higher workload. OBJECTIVES: The aim of this prospective study was to validate a machine learning (ML)-based approach for an automated prediction of malnutrition in hospitalised patients. METHODS: For 159 surgical in-patients, an assessment of malnutrition by dieticians was compared to the ML-based prediction conducted in the evening of admission. RESULTS: The model achieved an accuracy of 83.0% and an AUROC of 0.833 in the prospective validation cohort. CONCLUSION: The results of this pilot study indicate that an automated malnutrition screening could replace manual screening tools in hospitals.

Prevalence of Malnutrition in a Group of Institutionalized Psychogeriatric Patients Using Different Diagnostic Criteria.

Malnutrition (MN) is a highly prevalent condition in the elderly. It is associated with functional impairment, disability, frailty, and sarcopenia. The aim was to analyze the capacity of GLIM and ESPEN criteria to diagnose MN in a sample of institutionalized psychogeriatric patients. Clinical and anthropometric data were collected in a cross-sectional study. Patients' frailty, dependence, functional capacity, MNA, hand-grip strength (HS), and sarcopenia were evaluated. Body composition (BC) was estimated by conventional bioimpedance analysis. MN diagnosis was established using the ESPEN and the GLIM criteria based on fat-free mass index (GLIM-FFMI), appendicular skeletal muscle mass index (GLIM-ASMMI), skeletal muscle mass index (GLIM-SMMI), and HS (mGLIM). Ninety-two patients (57.6% men; mean age: 79.4 years) were studied. Depending on the diagnosis criteria, MN prevalence was between 25% (ESPEN) and 41.3% (GLIM-SMMI). Agreement between ESPEN and all GLIM criteria was poor, but it was excellent between all GLIM criteria (kappa > 0.8). Phenotypic criteria carried more weight in the diagnosis of MN than etiological ones. Depending on the parameter used, the prevalence of reduced muscle mass was notably different. Differences in BMI, BC, inflammation, and albumin are detected by the GLIM-FFMI criteria in the MN and non-MN subjects. Also, this criterion is the only one that identified differences in phase angle (PhA) between these groups. In the elderly, PhA can be very useful to monitor nutritional status.

Patient-Led, Technology-Assisted Malnutrition Risk Screening in Hospital: A Feasibility Study.

Malnutrition risk screening is crucial to identify at-risk patients in hospitals; however, screening rates can be suboptimal. This study evaluated the feasibility, acceptability, and potential cost-effectiveness of patient-led, technology-assisted malnutrition risk screening. A prospective multi-methods study was conducted in a 750-bed public hospital in Australia. Patients were recruited from seven wards and asked to complete an electronic version of the Malnutrition Screening Tool (e-MST) on bedside computer screens. Data were collected on feasibility, acceptability, and cost. Feasibility data were compared to pre-determined criteria on recruitment (≥50% recruitment rate) and e-MST completion (≥75% completion rate). Quantitative acceptability (survey) data were analyzed descriptively. Patient interview data were analyzed thematically. The economic evaluation was from the perspective of the health service using a decision tree analytic model. Both feasibility criteria were met; the recruitment rate was 78% and all 121 participants (52% male, median age 59 [IQR 48-69] years) completed the e-MST. Patient acceptability was high. Patient-led e-MST was modeled to save $3.23 AUD per patient and yield 6.5 more true malnutrition cases (per 121 patients) with an incremental cost saving per additional malnutrition case of 0.50 AUD. Patient-led, technology-assisted malnutrition risk screening was found to be feasible, acceptable to patients, and cost-effective (higher malnutrition yield and less costly) compared to current practice at this hospital.

Malnutrition, nutritional deficiency and alcohol: A guide for general practice.

BACKGROUND: Alcohol use has an effect on nutritional status, with nutritional deficiencies being a major contributor to morbidity, for example Wernicke's encephalopathy. Currently, there is an absence of best-practice guidelines to support general practitioners (GPs) in the identification and management of malnutrition and nutritional risk factors in patients who drink at risky levels. OBJECTIVE: This article reviews some of the nutritional considerations in patients who drink at risky levels or who have alcohol dependence, with the aim of enhancing GPs' awareness of the nutritional considerations in this patient group. DISCUSSION: Nutritional risk factors extend beyond body mass index (BMI), and patients might present with a healthy BMI and be malnourished. Screening for risk of malnutrition and other nutritional deficiencies followed by supplementation and consideration of referral to multidisciplinary services, including a dietitian, is likely to improve patient outcomes.

[Correlation Analysis between Neutrophil-to-lymphocyte Ratio 
and the Risk of Malnutrition in Stage IV Primary Lung Cancer].

BACKGROUND: Malnutrition is commonly associated with poor prognosis in patients with malignant tumors. The neutrophil-to-lymphocyte ratio (NLR) is an indicator of inflammation in the body and predicts the risk of malnutrition in a variety of diseases; however, its association with malnutrition in lung cancer patients is unclear. The aim of this study is to clarify the association between NLR and nutritional status in stage IV primary lung cancer and to further determine the optimal NLR cut-off that best predicts the risk of malnutrition. METHODS: A retrospective analysis of 209 patients admitted to the Department of Medical Oncology, Tianjin Medical University General Hospital with a primary diagnosis of stage IV lung cancer from May 2019 to February 2021 was performed, and the nutritional risk screening 2002 (NRS 2002) was used to examine their nutritional status. Patient demographic information, pathology, Karnofsky performance status (KPS) score, body mass index (BMI), comorbidities and clinical biochemical indicators were also included. The correlation between NLR and NRS 2002 was investigated. Receiver operating characteristic (ROC) curve was used to determine the best NLR cut-off predi cting malnutrition risk. Multivariable Logistic regression was used to assess the association between NLR and malnutrition risk. RESULTS: The rate of patients with stage IV primary lung cancer at nutritional risk was 36.36% (76/209). A significant positive correlation was observed between NLR values and NRS 2002 risk score (r=0.765, P<0.001). The ROC curve analysis indicated that an NLR of 3.94 was the optimal cut-off for predicting malnutrition risk (area under the curve=0.747, 95%CI: 0.678-0.815, P<0.001), which showed a sensitivity of 55%, a specificity of 86%, a positive predictive value of 68%, and a negative predictive value of 77%. Patients in the NLR>3.94 group had a significantly higher risk of malnutrition compared to those in the NLR≤3.94 group (69.49% vs 23.33%, P<0.001). Furthermore, NLR was identified as a risk factor for malnutrition in stage IV primary lung cancer patients. CONCLUSIONS: NLR is associated with the risk of malnutrition in stage IV primary lung cancer, and NLR can be used as one of the indicators for screening nutritional risk in patients with stage IV primary lung cancer.

Optimizing nutrition in hepatic cirrhosis: A comprehensive assessment and care approach.

Cirrhosis is considered a growing cause of morbidity and mortality, which represents a significant public health problem. Currently, there is no effective treatment to reverse cirrhosis. Treatment primarily centers on addressing the underlying liver condition, monitoring, and managing portal hypertension-related complications, and evaluating the potential for liver transplantation in cases of decompensated cirrhosis, marked by rapid progression and the emergence of complications like variceal bleeding, hepatic encephalopathy, ascites, malnutrition, and more. Malnutrition, a prevalent complication across all disease stages, is often underdiagnosed in cirrhosis due to the complexities of nutritional assessment in patients with fluid retention and/or obesity, despite its crucial impact on prognosis. Increasing emphasis has been placed on the collaboration of nutritionists within hepatology and Liver transplant teams to deliver comprehensive care, a practice that has shown to improve outcomes. This review covers appropriate screening and assessment methods for evaluating the nutritional status of this population, diagnostic approaches for malnutrition, and context-specific nutrition treatments. It also discusses evidence-based recommendations for supplementation and physical exercise, both essential elements of the standard care provided to cirrhotic patients.

GLIM criteria for definition of malnutrition in peritoneal dialysis: a new aspect of nutritional assessment.

Background: The aim of our study was to evaluate the effectiveness of Global Leadership Initiative on Malnutrition (GLIM) criteria in assessing malnutrition within the peritoneal dialysis (PD) population.Methods: We conducted a retrospective analysis involving 1057 PD patients across multiple institutions, characterized by an age of 56.1 ± 14.4 years, 464 (43.9%) female, and a median follow-up of 45 (25, 68) months. Malnutrition was diagnosed according to GLIM criteria. The endpoint event was overall mortality. The survival rate and hazard ratio (HR) of death between malnutrition and well-nourished were analyzed in all patients and various subgroups. Receiver operator characteristic curve and integrated discrimination improvement (IDI) were used to distinguish the efficacy of the nutritional tools prediction model.Results: According to the GLIM criteria, the prevalence of malnutrition among the study population was 34.9%. The adjusted HR of overall mortality was 2.91 (2.39 - 3.54, p < 0.001) for malnutrition versus well-nourished. In sensitivity analyses, the HR remained robust except the cardiovascular disease subgroup. The area under the curve of GLIM predicting 5-year mortality was 0.65 (0.62-0.68, p < 0.001). As a complex model for forecast the long-term mortality, the performance of adjusted factors combined with GLIM was poorer than combined malnutrition inflammation score (MIS) (IDI >0, p < 0.001), but fitter than combined geriatric nutritional risk index (GNRI) (IDI <0, p < 0.001).Conclusions: The GLIM criteria provide a viable tool for nutritional assessment in patients with PD, and malnutrition defined according to the GLIM can predict prognosis with an acceptable performance.

Factors and predictive model for malnutrition in poststroke disabled patients: A multicenter cross-sectional study.

BACKGROUND: Although malnutrition has been shown to influence the clinical outcome of poststroke disabled patients, the associated factors and the prediction model have yet to be uncovered. OBJECTIVES: This study aims to assess the current prevalence and factors associated with malnutrition in poststroke disabled patients and establish a prediction model. METHODS: A multicenter cross-sectional survey among Chinese poststroke disabled patients (≥18 y old) was conducted in 2021. Information on patients' basic data, medical history, Barthel Index, dysphagia, and nutritional status was collected. A multivariable logistic regression model was used to identify the factors that influence malnutrition. Nomogram was developed and internal validation was conducted using 5-fold cross-validation. External validation was performed using the data from a preliminary survey. Receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA) were used to analyze the predictive value of the nomogram. RESULTS: Four hundred fifty-seven cases were enrolled, with the prevalence of malnutrition as 71.77%. Age (aOR = 1.039, 95% CI: 1.006-1.078), pulmonary infection (aOR = 4.301, 95% CI: 2.268-14.464), dysphagia (aOR = 24.605, 95% CI: 4.966-191.058), total intake volume (aOR = 0.997, 95% CI: 0.995-0.999), Barthel Index (aOR = 0.965, 95% CI: 0.951-0.980), and nasogastric tube (aOR = 16.529, 95% CI: 7.418-52.518) as nutrition support mode (compared to oral intake) were identified as the associated factors of malnutrition in stroke-disabled patients (P < 0.05). ROC analysis showed that the area under the curve (AUC) for nomogram was 0.854 (95% CI: 0.816-0.892). Fivefold cross-validation showed the mean AUC as 0.829 (95% CI: 0.784-0.873). There were no significant differences between predicted and actual probabilities. The DCA revealed that the model exhibited a net benefit when the risk threshold was between 0 and 0.4. CONCLUSIONS: Age, pulmonary infection, dysphagia, nutrition support mode, total intake volume, and Barthel Index were factors associated with malnutrition in stroke-related disabled patients. The nomogram based on the result exhibited good accuracy, consistency and values.