Malnutrition Screening Tool Research Articles

Incorporating the Malnutrition Screening Tool and the Malnutrition Universal Screening Tool in Rehabilitation Practice: Comparison With the Nutrition Risk Screening 2002.

To demonstrate the prevalence of malnutrition risk in a specific rehabilitation setting. The secondary aim of the study was to compare Malnutrition Screening Tool (MST) and Malnutrition Universal Screening Tool (MUST) with Nutritional Risk Screening-2002 (NRS-2002). Patients diagnosed with stroke, anoxic brain injury, spinal cord injury, multiple sclerosis, arthritis, neuromuscular diseases, Parkinson's disease, and lymphedema who were admitted to a rehabilitation hospital were included. NRS-2002, MST, and MUST were used to assess malnutrition risk. Body weight (kg), height (cm), and mid upper arm circumference (cm) were measured. Twenty-four hours dietary records were obtained. Routine blood test results were recorded from patient files. Five hundred sixteen patients with a mean age of 54.3 ± 18.0 years were included. The most prominent diagnoses were stroke and spinal cord injury. According to NRS-2002, 71.7% (n = 370) of the patients were at low risk, but 28.3% (n = 146) of the patients were at high risk. Comparisons between NRS-2002 and MST showed that these two scales have similar results at classifying patients for malnutrition risk (p = 0.154). Comparison between NRS-2002 and MUST showed significant differences (p < 0.001). Both sensitivity and specificity of MST were above 80.0%. Sensitivity of MUST was 78.1% and specificity was 88.1%. Approximately one-third of the patients were at risk of malnutrition. Specificity and sensitivity of MST and MUST were as high as routinely used scale NRS-2002, and therefore it can be supposed that, considering the diagnostic groups of the patients, MST and MUST are useful in rehabilitation practice.

Development of a New Malnutrition Screening Tool for Patients: Human Key Tool of Nutrition

Development of a New Malnutrition Screening Tool for Patients: Human Key Tool of Nutrition

MALNUTRITION RISK AMONG OLDER AMERICANS ACT (OAA) NUTRITION PROGRAM PARTICIPANTS IN 2022 AND 2023

Abstract Identifying older adults at risk for malnutrition is essential to combat poor outcomes associated with malnutrition. In 2022, the National Survey of Older Americans Act Participants (NSOAAP) included the Malnutrition Screening Tool (MST), a validated, self-report of unintentional weight loss and poor appetite. This provided the first opportunity to evaluate malnutrition risk (MR, defined as a score ≥2) consistently in a representative sample of Older Americans Act (OAA) program participants. In this cross-sectional analysis of 2022 (n=3531) and 2023 (n=4159) NSOAAP data, MR prevalence was estimated for total sample and within OAA programs included in NSOAAP (home-delivered meals (HDM), congregate meals (CM), homemaker (HM), case management (CS), transportation services (TR)). 2022 overall MR prevalence was 19.4%, with no significant differences between programs. 2023 overall MR prevalence remained fairly stable (17.2%) with no significant difference vs. 2022 (p&amp;lt; 0.0984). 2023 MR prevalence was 20.8% (HDM), 9.9% (CM), 26.6% (HM), 21.1% (CS), 17.7% (TR). 2023 MR prevalence among CM participants was significantly lower compared to MR risk in other OAA programs and also significantly lower compared to 2022 (9.9% vs. 16.7% p&amp;lt; 0.0195). Further research is needed to understand these trends, which may be partially affected by pandemic-related program changes. These data indicate a substantial proportion of OAA program participants were at MR in 2022—with very little change in 2023, except decreased prevalence in CM program participants. The findings highlight the continued need for including MR measures in the NSOAPP to evaluate program effectiveness and help reduce malnutrition in older adults.

Deep Learning-Based Body Composition Analysis for Cancer Patients Using Computed Tomographic Imaging.

Malnutrition is a commonly observed side effect in cancer patients, with a 30-85% worldwide prevalence in this population. Existing malnutrition screening tools miss ~ 20% of at-risk patients at initial screening and do not capture the abnormal body composition phenotype. Meanwhile, the gold-standard clinical criteria to diagnose malnutrition use changes in body composition as key parameters, particularly body fat and skeletal muscle mass loss. Diagnostic imaging, such as computed tomography (CT), is the gold-standard in analyzing body composition and typically accessible to cancer patients as part of the standard of care. In this study, we developed a deep learning-based body composition analysis approach over a diverse dataset of 200 abdominal/pelvic CT scans from cancer patients. The proposed approach segments adipose tissue and skeletal muscle using Swin UNEt TRansformers (Swin UNETR) at the third lumbar vertebrae (L3) level and automatically localizes L3 before segmentation. The proposed approach involves the first transformer-based deep learning model for body composition analysis and heatmap regression-based vertebra localization in cancer patients. Swin UNETR attained 0.92 Dice score in adipose tissue and 0.87 Dice score in skeletal muscle segmentation, significantly outperforming convolutional benchmarks including the 2D U-Net by 2-12% Dice score (p-values < 0.033). Moreover, Swin UNETR predictions showed high agreement with ground-truth areas of skeletal muscle and adipose tissue by 0.7-0.93 R2, highlighting its potential for accurate body composition analysis. We have presented an accurate body composition analysis based on CT imaging, which can enable the early detection of malnutrition in cancer patients and support timely interventions.

The Predictive Role of Preoperative Malnutrition Assessment in Postoperative Outcomes of Patients Undergoing Surgery Due to Gastrointestinal Cancer: A Cross-Sectional Observational Study.

Background: Malnutrition affects patients undergoing surgery for gastrointestinal cancers and contributes to poor postoperative outcomes, including increased complication rates, longer hospital stays, and higher mortality. Despite the availability of several malnutrition screening tools and prognostic scores, their effectiveness in predicting postoperative outcomes remains unclear. This study aimed to compare the predictive accuracy of Patient-Generated Subjective Global Assessment (PG-SGA), Global Leadership Initiative on Malnutrition (GLIM), Geriatric Nutritional Risk Index (GNRI), and Controlling Nutritional Status (CONUT) score for postoperative outcomes in patients undergoing surgery for colorectal, hepato-pancreato-biliary and upper gastrointestinal cancers. Methods: A cross-sectional observational study from March 2022 to October 2023 was conducted in two university surgical departments, after registration on ClinicalTrials database (NCT05795374). Patient characteristics, preoperative nutritional status and postoperative outcomes were analyzed. Results: In total, 480 patients were enrolled. CONUT and GNRI demonstrated high specificity (over 90% and 80%, respectively) for predicting overall complications, major complications, prolonged hospital stay, mortality, and advanced disease stage across all cancer types. Notably, CONUT showed a specificity over 97% and GNRI over 89.7% for colorectal and upper gastrointestinal cancer patients, respectively, despite their lower sensitivity. On the contrary, PG-SGA and GLIM presented better sensitivity (up to 50%), but slightly lower specificity (up to 86.4%). Conclusions: CONUT and GNRI are valuable for ruling out non-at-risk patients for adverse postoperative outcomes, while PG-SGA and GLIM provide better sensitivity. A step-up approach-initial screening with PG-SGA and GLIM, followed by detailed evaluation with CONUT or GNRI- should be validated in future studies across diverse clinical settings.

Exploring the relationship between vitamin C deficiency and protein-energy malnutrition in adult hospitalised patients: A cross-sectional study.

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.

Evaluation of different screening tools for detection of malnutrition in hospitalised 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.

Harnessing delegation and technology to identify and manage malnutrition in a digital hospital: An implementation study

AbstractAimsDelegation of nutrition care activities to Dietetic Assistants in hospitals has been identified as one innovative malnutrition model of care, but there has been limited evaluation of their roles. This study aimed to develop, implement and evaluate a new Malnutrition Model of Care embracing automated delegation and digital systems.MethodsThe Malnutrition Model of Care was created to detect patients at risk of malnutrition (using the Malnutrition Screening Tool) and nutritional decline (via routine intake tracking at all meals and snacks). Digital systems generated automated referrals to dietetics, with protocols to support Dietetic Assistants to action these to direct care escalation to the ward dietitian. Dietetic Assistant training included simulations and clinical task instructions. Implementation evaluation was guided by the Donabedian model of quality and included a review of inpatient dietetics occasions of service, survey of Dietetic Assistant role satisfaction and task confidence, and hospital‐wide cross‐sectional malnutrition audit. Data was descriptively analysed.ResultsDuring the first year of implementation, 60% of Dietetics inpatient occasions of service were completed by Dietetic Assistants, with 26% of Dietetic Assistant inpatient tasks initiated from nursing malnutrition risk screening. Most Dietetic Assistants reported adequate training and confidence in completing delegated tasks. Malnutrition prevalence was 14% with no hospital‐acquired malnutrition identified. No clinical incidents were reported.ConclusionsThe Dietetic Assistant workforce and technology were harnessed to implement an innovative delegated Malnutrition Model of Care that appears to be safe and effective at managing malnutrition from preliminary evaluation. Work continues to formally assess service efficiencies, cost and patient experience.

The ability of GLIM and MNA-FF to diagnose malnutrition and predict sarcopenia and frailty in hospitalized adults over 60 years of age.

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.

Screening, identification, and diagnosis of malnutrition in hospitalized patients with solid tumors: A retrospective cohort study.

Malnutrition is common in hospitalized patients with cancer and adversely affects clinical outcomes. We evaluated the prevalence of malnutrition risk, dietitian-identified malnutrition (DIMN), and physician-diagnosed malnutrition (PDMN) at admission. This retrospective study included adults diagnosed with a stage I-IV solid tumor malignancy and admitted to Atrium Health Carolinas Medical Center from January 2016 to May 2019. Malnutrition risk was determined by a score ≥2 on the Malnutrition Screening Tool (MST) administered by a registered nurse during the intake process. Registered dietitian nutritionist (RDN) assessments were reviewed for DIMN and grade (mild, moderate, or severe). PDMN included malnutrition International Classification of Diseases, Tenth Revision codes in the discharge summary. Univariate models were estimated; multivariate logistic regression models identified associations between clinicodemographic factors and malnutrition prevalence with stepwise selection. A total of 5143 patients were included. Median age was 63 (range 18-102) years, 48% were female, 70% were White, and 24% were Black. Upper gastrointestinal (21%), thoracic (18%), and genitourinary (18%) cancers were most common. A total of 28% had stage IV disease. MST scores were available for 4085 (79%); 1005 of 4085 (25%) were at malnutrition risk. Eleven percent (n = 557) had malnutrition coded by a physician or documented by an RDN; 4% (n = 223) of these were identified by both clinicians, 4% (n = 197) by RDNs only, and 3% (n = 137) by physicians only. Malnutrition appears to be underdiagnosed by both RDNs and physicians. Underdiagnosis of malnutrition may have significant clinical, operational, and financial implications in cancer care.

Feasibility of a multifaceted nutrition-risk screening tool for mental health settings: the NutriMental screener.

People living with mental illness report a broad spectrum of nutrition risks, beyond malnutrition, but appropriate and adequately validated nutrition risk screening tools for mental health settings are lacking. This study aimed to develop a nutrition-risk screening tool, the NutriMental Screener, and to perform preliminary feasibility and validity testing. In an international, stakeholder engaging approach, a multifaceted nutrition-risk screening tool for mental health services was developed by means of workshops with international stakeholders and two online surveys. Feasibility of the NutriMental screener was tested as part of a research study in Switzerland with 196 participants, evenly distributed across the three study groups (sixty-seven outpatients and sixty-five inpatients with psychotic or depressive disorders as well as sixty-four controls without mental illness). The NutriMental screener consists of ten items covering different nutritional issues that indicate the need for referral to a dietitian or clinical nutritionist. Almost all patients (94·7 %) reported at least one nutrition risk by means of the NutriMental screener. Prevalence for nutrition risks via NutriMental screener was higher in patients than in controls. Almost every second patient expressed a desire for nutritional support (44·7 %). After further validity testing is completed, there is the potential for the NutriMental Screener to replace malnutrition screening tools as routine screening in various mental health settings aiming to organise nutritional therapy prescriptions in a more targeted and efficient manner.

Malnutrition risk screening in adult oncology outpatients: An ASPEN systematic review and clinical recommendations.

Malnutrition screening is not widely practiced in outpatient cancer centers. This review aims to determine the validity of malnutrition screening tools and provide recommendations for clinical use. Studies identified by a systematic review assessed the general validity of screening tools in adult oncology outpatients from five databases through 2022. The American Society for Parenteral and Enteral Nutrition (ASPEN) convened a working group of members from the Academy of Nutrition and Dietetics, Academy of Oncology Nurse and Patient Navigators, American Cancer Society, American Society for Clinical Oncology, American Society for Nutrition, American Society for Radiation Oncology, Association of Cancer Care Centers, and Oncology Nursing Society to answer the following questions: (1) should clinicians screen for malnutrition, (2) which malnutrition screening tools are recommended, and (3) what are the clinical applications for malnutrition risk screening in adult oncology outpatients? Twenty of 738 studies met the criteria and were reviewed. Six screening tools with specific cut-points demonstrated validity and are recommended, including the Mini Nutritional Assessment (≤23.5), Malnutrition Screening Tool (MST; MST ≥ 2 and patient-led MST ≥ 2), Malnutrition Universal Screening Tool (MUST; MUST ≥ 1 and MUST ≥ 2), Nutrition Risk Screening-2002 (NRS-2002; NRS-2002 ≥ 2 and NRS-2002 ≥ 3), NUTRISCORE ≥ 5, and Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF; PG-SGA SF ≥ 7 and PG-SGA SF ≥ 8). Six screening tools are valid for malnutrition risk identification in oncology ambulatory settings and recommended before treatment initiation and regularly thereafter, depending on treatment course. Research is needed to understand to what extent early diagnosis and management of malnutrition improves the clinical care of oncology patients.

Could malnutrition screening tools help in preoperative assessment of patients undergoing HPB cancer surgery in terms of postoperative complications? A bi-center observational study

Could malnutrition screening tools help in preoperative assessment of patients undergoing HPB cancer surgery in terms of postoperative complications? A bi-center observational study

Development of an automatic malnutrition screening tool based entirely on electronic medical records

Development of an automatic malnutrition screening tool based entirely on electronic medical records

Malnutrition Risk Screening and Dietitian Intervention within an Integrated Care Team for Older Persons

Abstract Background Malnutrition in older adults increases the risk of frailty. Nutritional interventions can improve frailty. A Senior Dietitian joined our Integrated Care for Older Persons Community Specialist Team (ICPOP-CST) in 2022. Our Complete Geriatric Assessment (CGA) form was redesigned in early 2023 which included the Malnutrition Screening Tool (MST). We commenced measuring handgrip strength (HGS) in late 2023. We measured the prevalence of malnutrition risk among our patients, audited MST use and explored dietetic service provision. Methods Data from the first 101 patients with a completed (new) CGA form were obtained from the service’s electronic patient database. Patients with a MST score of 0 or 1 were considered to be at low risk of malnutrition and those with a MST score of 2 or more were considered to be at risk of malnutrition. Results The mean age was 84.8±5.3 years and 65% were female. Malnutrition risk was identified in 39 (38.6%) patients. The MST was completed for 96 (95%) patients and completed correctly in 67 (69.8%). The total score was not summed in 26 out of 29 incorrectly completed screening tools (89.7%). Half (51, 50.5%) of the group of older adults received dietetic assessment and intervention. High protein, high calorie advice was provided for 38 (74.5%) of those seen by the ICPOP dietitian and for 29 (93.5 %) of those at risk of malnutrition. Onward referral to primary care dietitians was made for 14 (27.5%) of those seen by the ICPOP dietitian. HGS measurement was performed in 20 patients - 15 (75.0%) were identified to have probable sarcopenia – 11 (73.3%) of these were at risk of malnutrition. All received dietetic intervention in relation to protein and sarcopenia. Conclusion Malnutrition risk and probable sarcopenia are common among older adults referred to our ICPOP-CST team. The MST screening tool is practical and identifies those requiring dietetic intervention.

Chronic Kidney Disease and Frailty: Insights from a Cross-Sectional Study in Older Adults

Abstract Background Chronic Kidney Disease (CKD) and frailty are prevalent conditions among older adults, contributing to increased healthcare utilisation and adverse outcomes. The aim of this study was to examine CKD prevalence and associated factors in older adults attending a Community Specialist Team (CST) for older persons for Comprehensive Geriatric Assessment (CGA). Methods A cross-sectional study was conducted of all adults aged ≥65 years who had a CGA from October 2023 to March 2024. Variables recorded on an Excel spreadsheet included age, gender, Clinical Frailty Scale (CFS) score, Modified Barthel Index (mBI), presence of probable sarcopenia, Malnutrition Screening Tool (MST) and Dementia Screening Interview (AD8) outcomes. CKD was defined as estimated Glomerular Filtration Rate (eGFR) &amp;lt;60ml/min/1.73m2. The presence of frailty was defined as CFS ≥4. Functional impairment was defined by mBI&amp;lt;15 and MST ≥2 defined malnutrition risk. Regression analysis was used to identify associations. Results Ninety-one patients, 59 (64.8%) female and 32 (35.2%) male, with a mean age of 81.83 (SD=7.19) years were included. The prevalence of frailty was 90% (n=82) and of CKD was 53.8% (n=49). Age was a significant predictor of CKD and with each additional year, the odds of having CKD increased by 10% (p=0.004). Twelve (24.5%) of the CKD group had MST ≥2 compared with 17 (40.5%) without CKD (p=0.120). The odds of having probable sarcopenia was non-significantly higher (OR=1.09, p=0.8444) in CKD compared to without CKD. The odds of a positive AD8 was also non-significantly higher (OR=1.24, p=0.605) in CKD compared with no CKD. There was no difference in prevalence of functional impairment between the 2 groups (p=0.466). Conclusion CKD is common chronic condition in frail older persons referred to a CST. It is frequently unrecognised. Identification of CKD through CGA should facilitate an integrated interdisciplinary approach to care which may contribute to better overall health and quality of life.

Malnutrition Management in Older Adults Referred to Integrated Care Program for Older People (ICPOP) Service

Abstract Background Older adults are at increased risk of malnutrition, and it is estimated that 70,000 Irish people over 65 years old are malnourished or at risk of malnutrition. The ICPOP service provides access to community-based treatment for eligible older people for a period of up to 6 weeks. The aim of this study is to review the nutrition care provided by our ICPOP service and identify current gaps. Methods Data was collected by retrospective chart review of 80 patients who received dietetic input from June to December 2023; from two ICPOP teams, with 0.5 WTE dietitians per team. Demographic data, supplement usage, intervention provided, and discharge destination were recorded. Malnutrition screening tool (MST) and Mini Nutritional Assessment – Short Form (MNA®-SF) were used to assess nutritional status. Results The charts of 80 patients referred to ICPOP dietitians were reviewed. Patients’ mean age was 83 years old (range: 65-97yrs). 55 (68%) patients were malnourished or at risk of malnutrition. 30 (37.5%) patients were taking oral nutrition supplements (ONS) to meet their dietary requirements. Personalised dietetic intervention was provided to all patients. 44 (55%) patients required more than one dietetic review and 87.5% of initial dietitian assessments were domiciliary visits. At the end of the 6 weeks of intervention, 25 (31%) patients required follow-up dietetic care, however, for 6 (24%), who required ongoing dietetic care, and no community dietetic service was available. Conclusion Malnutrition is common in older adults referred to the ICPOP service, and the continuation of care is crucial for treating malnutrition as a chronic condition. However, current limitations in available dietetic services may affect malnutrition management and should be considered in older person care pathways. Therefore, additional investments in community dietetic services in our area, are required to ensure the successful management of malnutrition.

The attitudes and knowledge of family physicians regarding malnutrition in the elderly: a call for action

BackgroundMalnutrition in the elderly places a significant burden on healthcare, social, and aged-care systems, yet it often remains undiagnosed and untreated. This study aims to evaluate family physicians' knowledge and attitudes towards the diagnosis and treatment of malnutrition in the elderly.MethodsBased on a literature review, an online questionnaire was developed, comprised of seven knowledge-related items and eight attitude-related questions regarding malnutrition in elderly populations. We also assessed the feasibility of including two malnutrition screening questions in regular clinic visits for individuals aged ≥ 70 years.ResultsSurveys were completed by 126 physicians (35% response rate), mean age 47.2 ± 12.6 years; 15.6 ± 12.5 years of practice; 67% females; and 92% board-certified family physicians. Moreover, 77.6% agreed that diagnosing malnutrition is important in patients with decreased appetite. Most respondents demonstrated knowledge of nutritional screening principles (63.5%) and recognized that even obese elderly individuals could be malnourished (83.2%). There was partial agreement (60%) that normal BMI values in the elderly differ from those in younger populations. Almost complete agreement was seen for incorporating two nutritional status questions in medical visits (91%), with physicians expressing willingness to receive training in malnutrition identification and screening tools. Despite challenges such as time constraints and limited knowledge, participants were open to conducting biannual malnutrition risk screening for elderly patients.ConclusionWe recommend malnutrition screening in primary care followed by malnutrition diagnosis and referral of malnourished patients to the proper intervention.

An Automated Malnutrition Screening Tool Using Routinely Collected Data for Older Adults in Long-Term Care: Development and Internal Validation of AutoMal

ObjectiveTo develop and internally validate a malnutrition screening tool based on routinely collected data in the long-term care setting. DesignDiagnostic prediction model development and internal validation study. Setting and ParticipantsResidents (n = 539) from 10 long-term care facilities in Australia. MethodsCandidate variables identified through expert consultation were collected from routinely collected data in a convenience sample of long-term care facilities. Logistic regression using the Subjective Global Assessment as the reference standard was conducted on 500 samples derived using bootstrapping from the original sample. Candidate variables were selected if included in more than 95% of samples using backwards stepwise elimination. The final model was developed using logistic regression of selected variables. Internal validation was conducted using bootstrapping to calculate the optimism-adjusted performance. Overall discrimination was evaluated via receiver operator characteristic curve and calculation of the area under the curve. Youden's Index was used to identify the optimal threshold value for classifying malnutrition. Sensitivity and specificity were calculated. ResultsBody mass index and weight change % over 6 months were included in the automated malnutrition screening model (AutoMal), identified in 100% of bootstrapped samples. AutoMal demonstrated excellent discrimination of malnutrition, with area under the curve of 0.8378 (95% CI, 0.80–0.87). Youden's Index value was 0.37, resulting in sensitivity of 78% (95% CI, 71%–83%) and specificity of 77% (72%–81%). Optimism-corrected area under the curve was 0.8354. Conclusions and ImplicationsThe AutoMal demonstrates excellent ability to differentiate malnutrition status. It makes automated identification of malnutrition possible by using 2 variables commonly found in electronic health records.

Efficiency of a technology-assisted nutritional screening system: A retrospective analysis of 11,722 admissions in a tertiary hospital

Background and AimNutritional screening is essential for addressing malnutrition and its consequences. However, routine implementation in large hospitals faces several challenges. To overcome these obstacles, the Clinical Nutrition Service of a tertiary hospital developed a technology-assisted nutritional screening system. This study evaluates the system's efficiency in detecting and assessing patients at nutritional risk upon hospital admission. It also examines the association between nutritional risk, clinical outcomes, and sociodemographic characteristics. MethodsThis retrospective, analytical, observational study examined 11,722 hospital admissions of adult patients in 2019, each with a minimum hospital stay of 48 hours in a tertiary hospital. Rates and timing for the detection, referral, and assessment of patients at nutritional risk were calculated. Participants were divided into low (Malnutrition Screening Tool [MST] < 2 points) and moderate/high (MST ≥ 2) nutritional risk groups to evaluate the relationship between nutritional risk and clinical and demographic variables. ResultsWe found that 91% of patients underwent nutritional screening within the first hours of admission, with a median time of 9 hours from admission to screening (interquartile range [IQR] 3-19). The prevalence of nutritional risk (MST ≥ 2) was 21%. All patients identified as being at nutritional risk were immediately referred for a nutritional assessment once identified, with a median referral time of 0 hours (IQR 0-0). This assessment was carried out by a nutritionist for 98% of these patients, with a median time of 19 hours from referral to assessment (IQR 6-24). Compared to the low-risk group, patients with nutritional risk were older, had higher rates of mortality and admission to the intensive care unit (ICU), longer hospital stays, and a higher proportion of men and cancer diagnoses (p=0.00 for all comparisons). After adjusting for age and sex, nutritional risk was significantly associated with a higher probability of ICU admission (Odds Ratio [OR] 1.13; 95% CI 1.02-1.24) and in-hospital mortality (OR 2.32; 95% CI 1.97-2.73). ConclusionThe integration of technology into nutritional screening was highly efficient for early detection and assessment of at-risk patients upon hospital admission. Features of this system could guide other hospitals. The association found between nutritional risk and clinical outcomes emphasizes the importance of prompt and appropriate nutritional interventions.