Malnutrition Screening Research Articles

Malnutrition screening in 2024: usefull tips

Malnutrition screening in 2024: usefull tips

Development and validation of point-of-care mobile solution to guide the diagnosis of malnutrition: A multicenter, prospective cohort study.

11042 Background: Malnutrition has negative effects on patients with chronic diseases, leading to reduced treatment tolerance, increased risk of clinical complications, and even death. This research was aimed to develop a point-of-care program based on facial features to screen malnourished inpatient patients. Methods: In this prospective, multicenter, cohort study, we retrieved facial photograph and malnutrition screening scales from 4 different hospitals. We utilized a variety of machine learning models to explore whether the ocular area could serve as an enhanced region for facial recognition nutrition. Last, we utilized a facial area segmentation and weighted approach to retain the information of full-face features using a BP neural network and validated using Delong-test, IDI-test, and NRI-test. Overall, 619 inpatients’ facial photographs and their corresponding nutrition screening questionnaires were used to train, validate and test the machine learning model. Results: The Pearson correlation analysis showed a significant correlation (p<0.05) between the two questionnaires in all groups. The average AUC obtained from the five-fold cross-validation set was 0.886 (CI 0.843-0.930), 0.834 (CI 0.764-0.904), and 0.927 (CI 0.899-0.955) for the Cancer Inpatient Group, Other Inpatient Group, and All Inpatient Group, respectively, with the corresponding AUC obtained from the external validation set being 0.860 (CI 0.817-0.904), 0.843 (CI 0.796-0.889), and 0.887 (CI 0.829-0.944). Conclusions: The facial photograph-based point of-care mobile solution can screen malnutrition with good accuracy, showing its potential for screening malnutrition in inpatients in the hospital in different types of diseases.

The effectiveness of education and direct support provided by dietitians in an acute-care setting for the screening and prevention of malnutrition: “The Ward of the Month” initiative

The effectiveness of education and direct support provided by dietitians in an acute-care setting for the screening and prevention of malnutrition: “The Ward of the Month” initiative

Diagnostic Accuracy of Mid-Upper Arm Circumference for the Detection of Acute Malnutrition Among Children Aged 6-60 Months: A Diagnostic Accuracy Study.

Timely and accurate screening of malnutrition at the community level is essential to identifying malnourished children. The World Health Organization (WHO) guidelines classify non-oedematous acute malnutrition among children using mid-upper arm circumference (MUAC) or weight-for-height Z-score (WHZ). Study Design: A cross-sectional study. This study was conducted among children aged 6‒60 months. After necessary exclusions, 433 participants were selected using a multi-stage simple random sampling method. Using WHO guidelines for global acute malnutrition (GAM) [WHZ<-2, MUAC<12.5 cm], the sensitivity (Se), specificity (Sp), predictive values, likelihood ratios, Youden index, and receiver operating characteristic (ROC) curve were calculated for MUAC using WHZ as the criterion. Out of 433 participants, 30% were diagnosed with GAM using WHZ, while 17.6% were found malnourished using MUAC measurements. As per WHO cut-offs, the Se, Sp, positive predictive value (PPV), negative predictive value (NPV), Youden index, positive likelihood ratio (LR+), and negative likelihood ratio (LR-) of MUAC were 48%, 96%, 83%, 81%, 0.44, 12, and 0.54, respectively. The ROC curve displayed an area under the curve of 0.86 (95% confidence interval=0.83, 0.90) for MUAC<12.5 cm. Bivariate Pearson correlation also demonstrated a positive linear relationship (R2=0.302) between the WHZ and MUAC variables. Based on the findings, 48% of the children were correctly identified by the MUAC with an 83% probability of GAM (PPV=0.83). Moreover, there was 96% Sp in non-malnourished children, with only 4% false positives. Therefore, personnel at the grassroots level can use MUAC for timely and accurate screening of children in Anganwadi centers (AWCs) due to its ease of use and simplicity.

Nutritional status in older patients with parkinson’s disease and associated factors

This study was conducted to assess factors related to the nutrition status among older patients with Parkinson’s disease (PD) in 2023. A cross-sectional study was conducted on participants aged over 60 years old having PD at the National Geriatric Hospital from February 2023 to October 2023. The nutritional status was assessed using Mini Nutritional Assessment Short Form (MNA – SF) questionnaires. A total of 200 study participants diagnosed for PD with the mean age of 68.7 ± 5.2 years old and the female/male ratio was approximately 1.5. The prevalence of malnourished and at risk of malnutrition were 7.5%, 41.5%, respectively. Multiple logistic regression analysis showed that female (OR = 2.34, 95% CI 1.18 – 4.63, p = 0.014), dopamine agonist (OR = 0.36, 95% CI 0.16 – 0.82, p = 0.009) and depressive symptom (OR = 2.11, 95% CI 1.02 - 4.40, p = 0.044) were risk factors for malnutrition in older patients with PD. Screening for malnutrition is necessary among older patients with PD, especially in female, using dopamine agonist, and having depressive symptoms.

The value of abPG-SGA in the nutritional risk screening of patients with malignant tumors.

Nutritional risk screening 2002 (NRS2002) is a commonly used tool for screening the risk of malnutrition in hospitalized patients, while patient-generated subjective global assessment (PG-SGA) is a nutritional assessment tool for malignant tumor patients. However, there are still gaps in the rapid nutritional risk screening methods for cancer patients. We aimed to evaluate the value of abridged scored patient-generated subjective global assessment (abPG-SGA) for nutritional risk screening and prognosis in cancer patients. The NRS 2002 and abPG-SGA scores of 100 malignant tumor patients hospitalized in our department in December 2020 were collected. Take NRS2002 ≥ 3 as the positive standard (risk of malnutrition). Data were analyzed using Kappa test, ROC curves, cut-off values and Kaplan-Meier. In the screening of 100 patients, 25.0% of patients were at risk of malnutrition (NRS2002), abPG-SGA yielded a sensitivity and specificity of 92.0% and 72.0%, respectively (area under curve [AUC] = 0.884, cut-off value ≥ 4.5); In the screening of patients with digestive system malignancies, 22.6% of patients were at risk of malnutrition (NRS2002), and the sensitivity and specificity of abPG-SGA were 91.67% and 87.80%, respectively (AUC = 0.945, cut-off value ≥ 5.5). The results of survival analysis showed that the overall survival (OS) of patients with abPG-SGA ≥ 5 and < 5, NRS2002 ≥ 3 and abPG-SGA < 5, NRS2002 < 3 and abPG-SGA ≥ 5 were significantly different (P < .0001), the OS of patients with NRS2002 ≥ 3 and abPG-SGA ≥ 5, NRS2002 < 3 and abPG-SGA < 5 were not significantly different (P > .05). Like NRS2002, abPG-SGA can also be used for malnutrition screening and prognosis judgment in cancer patients. It can quickly screen out cancer patients who may be at risk of malnutrition and facilitate the development of nutritional assessments.

Malnutrition and cachexia are associated with poor CAR T-cell therapy outcomes including survival

Background & AimsChimeric Antigen Receptor (CAR) T-cell therapy has emerged as a revolutionary treatment for patients with refractory or relapsed B-cell malignancies. However, a significant proportion of patients experience negative outcomes, including severe inflammatory toxicities and relapse. Cachexia and malnutrition are known secondary syndromes in many cancer patients, attributed to the effects of active malignancy, systemic inflammation, and cumulative treatment burden; however, further research is required to accurately characterise these issues in CAR T-cell patients. The aims of this service evaluation were to explore the changes in nutritional status (malnutrition and cachexia) in CAR T-cell therapy patients and the potential impact on patient outcomes including survival. Additionally, we describe the utilisation of dietetic resources in this specific patient population in a London tertiary referral centre. MethodsAdult haematology patients receiving licensed CD19-targeting CAR T-cell therapy at University College London Hospital between 01/04/19 and 01/09/21 were included. Data were collected from the time of treatment consent, and throughout admission to day of discharge: body weight (BW), C-reactive protein, albumin, lactate dehydrogenase, nutrition-risk screening scores (hospital-specific) and dietetic input. Clinical outcomes such as 12-month all-cause mortality, intensive care unit (ICU) admission, high-grade toxicities, and length of hospital stay (LoS) were also recorded. Cachexia and malnutrition were defined using the modified Glasgow Prognostic Score (mGPS) and Global Leadership Initiative on Malnutrition (GLIM) consensus, respectively. Results114 patients (55.6±15.1 years; 57% males) with B-cell non-Hodgkin’s lymphoma (n=109) and B-cell acute lymphoblastic leukaemia (n=5), receiving axicabtagene ciloleucel (n=89) and tisagenlecleucel (n=25) were included. Median LoS for treatment was 34 (27-38) days. Prior to treatment, 31.5% of patients developed malnutrition, with pre-cachexia/refractory cachexia (mGPS) identified in 43.6% of patients. This altered nutritional status pre-treatment was significantly associated with adverse patient outcomes post-infusion; mGPS was independently associated with inferior overall survival (HR=3.158, CI=1.36-7.323, p=0.007), with malnutrition and mGPS associated with increased LoS (p=0.037), sepsis (p=0.022) and ICU admission (p=0.039). During admission, patients experienced significant BW loss (-5.6% (-8.8 to -2.4); p=<0.001), with 68.4% developing malnutrition. Malnutrition screening during admission identified 57% patients at-risk, with 66.6% of patients referred to dietetics; however, there was a lack of malnutrition screening and dietetic referrals prior to treatment. ConclusionPre-treatment malnutrition and cachexia was significantly associated with adverse CAR T patient outcomes, including mGPS cachexia status independently associated with inferior overall survival. Further research in this novel space is essential to confirm the extent and impact of nutritional issues, to assist with implementing dietetic pathways, and to identify potential interventions with a view to optimising outcomes.

Anemia and associated factors among under-five children attending public Hospitals in Harari Regional State, eastern Ethiopia: A cross-sectional study.

Childhood anemia is a significant global public health problem. It influences the physical and cognitive development, as well as immunity of affected children. This in turn leads to poor academic performance, low working potential, and increased morbidity and mortality. There is limited facility-based data on the magnitude and predictors of anemia among under-five children. This study aimed to determine the prevalence and associated factors of anemia among under-five children attending public Hospitals in Harari Regional State, eastern Ethiopia. Institution-based cross-sectional study was conducted at Hiwot Fana Comprehensive Specialized University Hospital and Jugal Hospital from July 1, 2022, to August 31, 2022. A total of 330 under-five children were involved by systematic random sampling technique. Data on sociodemographic characteristics and other possible factors were collected through face-to-face interviews with children's parents/legal guardians. Four milliliters of venous blood samples were collected for a complete blood cell count. Collected data were checked for completeness, entered into Epi-Data Statistical Software Version 4.6, and exported into the Statistical Package for Social Sciences version 25 for analysis. Bivariable and multivariable logistic regression was conducted and P < .05 were considered statistically significant. The overall prevalence of anemia was 33% (95% confidence interval [CI]: 27.9%-37.9%). Age of children 6 to 11 months (adjusted odd ratio [AOR] = 3.94, 95% CI: 1.55-10.01) and 12 to 23 months (AOR = 2.93, 95% CI: 1.15-7.43), no maternal education (AOR = 4.34, 95% CI: 1.53-12.35), not exclusively breastfeeding (AOR = 1.98, 95% CI: 1.11-3.52), being severely stunted (AOR = 3.39, 95 CI: 1.70-6.75), and underweight (AOR = 2.1, 95% CI: 1.12-3.87) were significantly associated with anemia among under-five children. In this study, anemia among under-five children is a moderate public health problem. This study revealed that young child age, maternal education level, early initiation of complementary feeding, and child undernutrition were factors associated with anemia. Thus, efforts should be made to improve the child's nutritional status as well as enhance maternal awareness of nutrition and child-feeding practice through health education. Regular childhood nutritional screening and appropriate intervention for malnutrition are needed. Besides, further studies assessing serum micronutrient levels should be conducted to differentiate the specific cause and type of anemia.

Combined systematic screening for malnutrition and dysphagia in hospitalized older adults: a scoping review

BackgroundDysphagia affects about 40% of patients admitted to acute geriatric wards, as it is closely associated with diseases that rise in prevalence with advancing age, such as stroke, Parkinson’s disease, and dementia. Malnutrition is a highly associated predictive factor of dysphagia as well as one of the most common symptoms caused by dysphagia. Thus, the two conditions may exist simultaneously but also influence each other negatively and quickly cause functional decline especially in older adults. The purpose of this review was to determine whether institutions have established a protocol combining screenings for dysphagia and malnutrition on a global scale. If combined screening protocols have been implemented, the respective derived measures will be reported.MethodsA scoping review was conducted. A systematic database search was carried out in January and February 2024. Studies were included that examined adult hospitalized patients who were systematically screened for dysphagia and malnutrition. The results were managed through the review software tool Covidence. The screening of titles and abstracts was handled independently by two reviewers; conflicts were discussed and resolved by consensus between three authors. This procedure was retained for full-text analysis and extraction. The extraction template was piloted and revised following feedback prior to extraction, which was carried out in February 2024.ResultsA total of 2014 studies were found, 1075 of which were included for abstract screening, 80 for full text screening. In the end, 27 studies were extracted and reported following the reporting guideline PRISMA with the extension for Scoping Reviews.ConclusionMost of the studies considered the prevalence and association of dysphagia and malnutrition with varying outcomes such as nutritional status, pneumonia, oral nutrition, and swallowing function. Only two studies had implemented multi-professional nutrition teams.

ESPEN guideline on nutrition and hydration in dementia – Update 2024

Background & aimsDementia is accompanied by a variety of changes that result in an increased risk of malnutrition and low-intake dehydration. This guideline update aims to give evidence-based recommendations for nutritional care of persons with dementia in order to prevent and treat these syndromes. MethodsThe previous guideline version was reviewed and expanded in accordance with the standard operating procedure for ESPEN guidelines. Based on a systematic search in three databases, strength of evidence of appropriate literature was graded by use of the SIGN system. The original recommendations were reviewed and reformulated, and new recommendations were added, which all then underwent a consensus process. Results40 recommendations for nutritional care of older persons with dementia were developed and agreed, seven at institutional level and 33 at individual level. As a prerequisite for good nutritional care, organizations caring for persons with dementia are recommended to employ sufficient qualified staff and offer attractive food and drinks with choice in a functional and appealing environment. Nutritional care should be based on a written care concept with standardized operating procedures. At the individual level, routine screening for malnutrition and dehydration, nutritional assessment and close monitoring are unquestionable. Oral nutrition may be supported by eliminating potential causes of malnutrition and dehydration, and adequate social and nursing support (including assistance, utensils, training and oral care). Oral nutritional supplements are recommended to improve nutritional status but not to correct cognitive impairment or prevent cognitive decline. Routine use of dementia-specific ONS, ketogenic diet, omega-3 fatty acid supplementation and appetite stimulating agents is not recommended. Enteral and parenteral nutrition and hydration are temporary options in patients with mild or moderate dementia, but not in severe dementia or in the terminal phase of life. In all stages of the disease, supporting food and drink intake and maintaining or improving nutrition and hydration status requires an individualized, comprehensive approach. Due to a lack of appropriate studies, most recommendations are good practice points. ConclusionNutritional care should be an integral part of dementia management. Numerous interventions are available that should be implemented in daily practice. Future high-quality studies are needed to clarify the evidence.

Swedish translation and cultural adaptation of the scored Patient-Generated Subjective Global Assessment (PG-SGA©)-A validated tool for screening and assessing malnutrition in clinical practice and research.

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.

Effects of a Personalized Diet on Nutritional Status and Renal Function Outcome in Nephrectomized Patients with Renal Cancer.

Nutritional therapy (NT) based on a controlled protein intake represents a cornerstone in managing chronic kidney disease (CKD). However, if a CKD patient is at the same time affected by cancer, oncologists and nutritionists tend to suggest a dietary regimen based on high protein intake to avoid catabolism and malnutrition. International guidelines are not clear when we consider onco-nephrological patients and, as a consequence, no clinical shared strategy is currently applied in clinical practice. In particular, no precise nutritional management is established in nephrectomized patients for renal cell carcinoma (RCC), a specific oncological cohort of patients whose sudden kidney removal forces the remnant one to start a compensatory mechanism of adaptive hyperfiltration. Our study aimed to investigate the efficacy of a low-normal-protein high-calorie (LNPHC) diet based on a Mediterranean model in a consecutive cohort of nephrectomized RCC patients using an integrated nephrologist and nutritionist approach. A consecutive cohort of 40 nephrectomized RCC adult (age > 18) patients who were screened for malnutrition (malnutrition screening tool, MST < 2) were enrolled in a tertiary institution between 2020 and 2022 after signing a specific informed consent form. Each patient underwent an initial nephrological and nutritional evaluation and was subsequently subjected to a conventional CKD LNPHC diet integrated with aproteic foods (0.8 g/Kg/die: calories: 30-35 kcal per kg body weight/die) for a period of 6 months (±2 months). The diet was structured after considering eGFR (CKD-EPI 2021 creatinine formula), comorbidities, and nutritional status. MST, body mass index (BMI), phase angle (PA), fat mass percentage (FM%), fat-free mass index (FFMI), body cell mass index (BCMI), extracellular/intracellular water ratio (ECW/ICW), extracellular matrix/body cell mass ratio (ECM/BCM), waist/hip circumference ratio (WHC), lab test exams, and clinical variables were examined at baseline and after the study period. Our results clearly highlighted that the LNPHC diet was able to significantly improve several nutritional parameters, avoiding malnutrition and catabolism. In particular, the LNPHC diet preserved the BCM index (delta on median, ΔM + 0.3 kg/m2) and reduced the ECM/BCM ratio (ΔM - 0.03 *), with a significant reduction in the ECW/ICW ratio (ΔM - 0.02 *), all while increasing TBW (ΔM + 2.3% *). The LNPHC diet was able to preserve FFM while simultaneously depleting FM and, moreover, it led to a significant reduction in urea (ΔM - 11 mg/dL **). In conclusion, the LNPHC diet represents a new important therapeutic strategy that should be considered when treating onco-nephrological patients with solitary kidney due to renal cancer.

The role of the coordinating nurse in a transverse clinical nutrition unit

Malnutrition is a common pathology, often underdiagnosed, and is associated with numerous chronic diseases. Transversal clinical nutrition units (TCNU) are being implemented to improve the screening and management of malnutrition. The coordinating nurse plays a key role within a TCNU: organizing and coordinating personalized care pathways for malnourished patients, especially those with complex pathologies requiring multidisciplinary care. This article outlines the responsibilities of the coordinating nurse based on the experience of the TCNU established at the Pitié-Salpêtrière Hospital (Assistance Publique-Hôpitaux de Paris).

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

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. The aim of this prospective study was to validate a machine learning (ML)-based approach for an automated prediction of malnutrition in hospitalised patients. For 159 surgical in-patients, an assessment of malnutrition by dieticians was compared to the ML-based prediction conducted in the evening of admission. The model achieved an accuracy of 83.0% and an AUROC of 0.833 in the prospective validation cohort. The results of this pilot study indicate that an automated malnutrition screening could replace manual screening tools in hospitals.

Malnutrition Screening with Nutritional Risk Screening 2002 prior to Assessment as Part of GLIM Criteria in Patients Undergoing Major Abdominal Surgery for Gastrointestinal Cancer

Introduction: For diagnosing malnutrition as an important modifiable risk factor in surgical cancer patients, GLIM criteria offer a standardised diagnostic pathway. Before assessing malnutrition, it is suggested to screen for malnutrition with an implemented screening tool, i.e., the NRS-2002. Validated data regarding the applied screening tool and its relevance for predicting outcome parameters in surgical patients is sparse. Methods: 260 patients undergoing major abdominal surgery for cancer were retrospectively analysed. Between January 2017 and December 2019, patients were prospectively screened for malnutrition with the Nutritional Risk Score 2002 (NRS). Irrespective of their screening result malnutrition was assessed with GLIM criteria using CT scan at lumbar level 3 for measuring skeletal muscle mass (GLIM MMCT). Patients with negative screening results (NRS ≤2) were analysed regarding their malnutrition assessment and outcome parameters. Results: Thirty four of 67 patients with NRS ≤2, posing no risk for malnutrition, were diagnosed malnourished according to GLIM MMCT (n = 34, 50.7%). 19 patients (55.9%) with NRS ≤2 and malnutrition according to GLIM had at least one complication, 12 patients (35.3%) had a severe complication (Clavien-Dindo grade ≥ 3a), in 26.5% re-laparotomy was necessary, readmission within 1 month in 20.6% of patients, and length of hospital stay was 18.76 ± 12.66, which was in total worse in outcome compared to the whole study group (n = 260). Patients with NRS ≤2 but diagnosed malnourished by GLIM were at significant higher risk to develop a severe complication (OR 2.256, 95% CI: 1.038–4.9095, p = 0.036) compared to patients with NRS ≤2 but not being diagnosed malnourished. The risk for overall complications was significantly increased in patients with malnutrition diagnosed by the GLIM criteria using MMCT (OR 2.028, 95% CI: 1.188–3.463, p = 0.009). Patients screened at risk with NRS ≥3 and diagnosed malnourished by GLIM were also at significant higher risk for developing complications (OR 1.728, 95% CI: 1.054–2.832, p = 0.029). Conclusion: GLIM MMCT is suitable for diagnosing malnutrition and estimating postoperative risk in gastrointestinal cancer patients. Nutritional assessment only in patients with NRS >2 may bear the risk to miss malnourished patients with high risk for poor clinical outcome. In every patient undergoing major cancer surgery, regular assessment of nutritional status regardless of screening result should be performed exploiting CT body composition analysis.

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.

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. To examine factors associated with malnutrition among the MOCL items in older people. 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. 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)'. The four signs, symptoms and conditions during mealtime identified in this study may be associated with malnutrition in older people. 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.

Neutrophil-to-lymphocyte ratio and lymphocyte count as an alternative to body mass index for screening malnutrition in older adults living in the community.

Accurate height and weight measurement can be challenging in older adults and complicates nutritional status assessment. Other parameters like the neutrophil-to-lymphocyte ratio (NLR) and the lymphocyte count (LC) could be an option to these measurements. We aimed to test these variables as subrogates of body mass index (BMI) or calf-circumference (CC) for malnutrition screening in community-dwelling older adults. This is a secondary analysis from the Salud, Bienestar y Envejecimiento (SABE) survey from Ecuador (2009). Includes data on demographics, health-related factors, physical assessments, and complete blood count, allowing to calculate NLR and LC to be used as part of the Mini Nutritional Assessment (MNA), instead of the BMI. Consequently, 4 models were included: standard MNA, MNA-CC, MNA-NLR and MNA-LC. Finally, age, sex, and comorbidities were considered as confounding variables. In our analysis of 1,663 subjects, 50.81% were women. Positive correlations with standard MNA were found for MNA-NLR (Estimate = 0.654, p < 0.001) MNA-CC (Estimate = 0.875, p value <0.001) and MNA-LC (Estimate = 0.679, p < 0.001). Bland-Altman plots showed the smallest bias in MNA-CC. Linear association models revealed varying associations between MNA variants and different parameters, being MNA-NLR strongly associated with all of them (e.g. Estimate = 0.014, p = 0.001 for albumin), except BMI. The newly proposed model classified a greater number of subjects at risk of malnutrition and fewer with normal nutrition compared to the standard MNA. Additionally, it demonstrated a strong correlation and concordance with the standard MNA. This suggests that hematological parameters may offer an accurate alternative and important insights into malnutrition.

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.

Prevalence of malnutrition, dietary trends, and oral nutritional supplements use among Algerian cancer outpatients undergoing chemotherapy

ObjectiveIt is widely acknowledged that patients with cancer commonly experience malnutrition, and some individuals may adopt specific dietary trends. This study investigated the prevalence of malnutrition and dietary trends among Algerian cancer outpatients undergoing chemotherapy. Material and methodsThis cross-sectional, descriptive study was conducted from January to October 2023 with 71 cancer outpatients undergoing chemotherapy. Malnutrition risk was evaluated using the Malnutrition Screening Tool (MST). The questionnaire also collected the occurrence of nutrition impact symptoms, the avoidance of specific food groups, and the use of oral nutritional supplements and dietary supplements. ResultsMalnutrition risk was identified in 57.7% (41 cases) of participants. Nutrition impact symptoms were reported by 59.2% (42 cases) of patients. A total of 36 of the patients (50.7%) altered their eating habits by avoiding at least one food group. Among malnourished cancer outpatients, only five used oral nutritional supplements. Dietary supplements were used by 23.9% (27/71) of the patients after cancer diagnosis. ConclusionOur findings underscore the necessity for a systematic malnutrition assessment in cancer patients. Qualified clinicians should provide nutritional awareness to enhance the quality of life for these patients.

Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence.

The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's society. As experts begin to understand the potential, a spectrum of opportunities could yield a remarkable revolution. The upsurge in healthcare could transform clinical interventions and outcomes, but it risks dehumanization and increased unethical practices. The field of clinical nutrition and dietetics is no exception. This article finds a multitude of developments underway, which include the use of AI for malnutrition screening; predicting clinical outcomes, such as disease onset, and clinical risks, such as drug interactions; aiding interventions, such as estimating nutrient intake; applying precision nutrition, such as measuring postprandial glycemic response; and supporting workflow through chatbots trained on natural language models. Although the opportunity and scalability of AI is incalculably attractive, especially in the face of poor healthcare resources, the threat cannot be ignored. The risk of malpractice and lack of accountability are some of the main concerns. As such, the healthcare professional's responsibility remains paramount. The data used to train AI models could be biased, which could risk the quality of care to vulnerable or minority patient groups. Standardized AI-development protocols, benchmarked to care recommendations, with rigorous large-scale validation are required to maximize application among different settings. AI could overturn the healthcare landscape, and this article skims the surface of its potential in clinical nutrition and dietetics.