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BACKGROUND & AIMS: It is known from earlier studies that only 15% of the malnourished hospital outpatient population is recognized and receives nutritional treatment. To increase this number, a quick and easy malnutrition screening tool would be helpful. Because such a tool is lacking, we developed one by using the SNAQ (Short Nutritional Assessment Questionnaire) as a basis. The aim of this study was to develop a quick and easy malnutrition screening tool and to measure its diagnostic accuracy in malnourished hospital outpatients.METHODS: First, an optimal set of questions was selected for the preoperative outpatient population. Secondly, the diagnostic accuracy for the preoperative outpatients was determined (979 patients) and finally, the diagnostic accuracy for general hospital outpatients was established (705 patients).RESULTS: The three original SNAQ questions proved to be the best set of questions for the outpatient population as well. In the preoperative and general outpatient population the diagnostic accuracy resulted respectively in a sensitivity of 53% and 67%, a specificity of 97% and 98%, a positive predictive value of 69% and 72% and a negative predictive value of 94% and 97%.CONCLUSIONS: With an acceptable diagnostic accuracy it may be concluded that the original SNAQ malnutrition screening tool is valid for the hospital outpatient population.

Background Malnutrition is associated with adverse outcomes for hospital inpatients and is a significant economic burden on hospitals. Malnutrition is frequently under-recognised in this setting and valid screening and early diagnosis are important for timely nutritional management. Aboriginal Australian and/or Torres Strait Islander peoples (Indigenous Australians) are likely to be at increased risk of malnutrition due to their disproportionate burden, pattern and age-distribution of chronic diseases. Despite this increased risk, the burden and impact of malnutrition in Indigenous Australians is poorly understood. Furthermore, a suitable screening tool has not been validated for this vulnerable patient group. The aim of this study is to determine the burden of malnutrition, understand its impact, and validate a malnutrition screening tool for Indigenous Australian inpatients. Methods This project involves cross-sectional, prospective cohort and diagnostic validation methodologies to assess the burden and impact of malnutrition and to validate a malnutrition screening tool. A target of 752 adult Indigenous and non-Indigenous Australian inpatients will be recruited across three different public hospitals in the Northern Territory and far north Queensland of Australia. Cross-sectional data collection will be used to determine the prevalence of malnutrition using the Subjective Global Assessment and to stratify participants based on the International Consensus Guideline Committee malnutrition aetiology-diagnostic framework. Subjects will then be followed prospectively to measure short and long-term health outcomes such as length of hospital stay, in-hospital mortality, 30-day and 6-month readmission rates. Finally, the utility of a new screening tool, the Australian Nutrition Tool, will be assessed against an existing screening tool, the malnutrition screening tool, used in these settings and the malnutrition reference standard, the Subjective Global Assessment. Discussion Indigenous Australians continue to experience poorer levels of health than non-Indigenous Australians and issues such as food insecurity, poor diet, and a disproportionate burden of chronic disease play a key contributing role for malnutrition in Indigenous Australians. To improve the health and hospital outcomes of Indigenous and non-Indigenous Australians, it is important that patients are routinely screened using a validated screening tool. It is also imperative that the burden and impact of malnutrition is properly understood, and fully appreciated, so that early and appropriate nutritional management can be provided to this group of hospital patients.

BACKGROUND: Malnutrition is highly prevalent among hospital admissions and associated with, poor response to medical treatment, prolonged hospital stay, increased mortality and cost to the state. The aim of this study is to assess the ability of the nutrition screening tools to predict the clinical outcome of cardiac patients. METHODS: Five hundred and twenty six patients underwent nutritional screening via Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), Short Nutritional Assessment Questionnaire (SNAQ), Mini Nutritional Assessment-Short Form (MNA-SF), Nutritional Risk Screening (NRS) and Subjective Global Assessment (SGA) tools on admission and each subject was followed up until discharge and after one month to identify the clinical course and outcome. RESULTS: The mean hospital stay was 5.3 days and median hospital stay was 4.0 days. The mean hospital stay is increasing with the malnutrition level in MUST, NRS, MNA-SF, MST, NRS and SGA tools. The inpatient mortality is higher in high risk nutritional categories of all six malnutrition screening tools. MNA-SF, MST and SGA tools demonstrate a positive relationship between non-prophylactic antibiotic usage and poor nutritional status. High risk nutritional categories of MNA-SF and MST are associated with prescription of multivitamin/minerals. According to MNA-SF, MST and SGA the follow up mortality was increased with worsening nutritional status. The incidence of readmissions was increased gradually with deteriorating nutritional status categorized by MUST, SNAQ, MST and SGA tools. CONCLUSION: Malnutrition may be associated with poor clinical outcome of the cardiac patients during and after the hospital stay. Each tool reported a variable prediction in outcomes such as death, infection and prolonged hospital stay due to the poor nutritional status.

Despite the significant impact of malnutrition in hospitalised patients, it is often not identified by clinical staff in daily practice. To improve nutritional support in hospitals, standardised routine nutritional screening is essential. The Graz Malnutrition Screening (GMS) tool was developed for the purpose of malnutrition risk screening in a large hospital setting involving different departments. It was the aim of the present study to validate the GMS against Nutritional Risk Screening (NRS) and Mini Nutritional Assessment-short form (MNA-sf) in a randomised blinded manner. A total of 404 randomly selected patients admitted to the internal, surgical and orthopaedic wards of the University Hospital Graz were screened in a blinded manner by different raters. Concurrent validity was determined by comparing the GMS with the NRS and in older patients (70+ years) with the MNA-sf additionally. According to GMS, 31·9 or 28·5 % of the admitted patients were categorised as at ‘risk of malnutrition’ (depending on the rater). According to the reference standard of NRS, 24·5 % of the patients suffered from malnutrition. Pearson’srvalues of 0·78 compared with the NRS and 0·84 compared with the MNA showed strong positive correlations. Results of accuracy (0·85), sensitivity (0·94), specificity (0·77), positive predictive value (0·76) and negative predictive value (0·95) of GMS were also very high. Cohen’sκfor internal consistency of the GMS was 0·82. GMS proves to be a valid and reliable instrument for the detection of malnutrition in adult patients in acute-care hospitals.

Background Despite high prevalence rates of malnutrition in hospitals, awareness of medical and nursing staff is still rather low [1]. The implementation of valid malnutrition screening tools within preexisting electronic data source systems seems mandatory. Hospitals are in need of an easy to handle, valid and reliable malnutrition screening tool with high sensitivity and specificity for all kind of adult patient groups. The GMS was developed by a multidisciplinary nutrition team of the University Hospital Graz (Austria). It is primarily based on the ESPEN recommendations [2] and consists of five items shown in table 1. To individualize for special needs of older patients, age was introduced as independent risk factor.

Background Malnutrition among skilled nursing facility (SNF) patients can lead to hospital readmissions and multiple complications. Purpose To evaluate the effect of an existing malnutrition screening and management program on prealbumin levels of patients in skilled nursing facilities. Methods A retrospective design was used to evaluate baseline admission data including a prealbumin level. Patients with malnutrition received an oral protein supplement according to protocol. A comparison prealbumin level was obtained at 30days. Results Nearly half of the patients were severely malnourished on admission. Patients receiving the prescribed protocol had significantly increased prealbumin levels at 30days than those patients that did not receive the protocol as prescribed. Conclusion A prealbumin level upon admission at a SNF could represent a reliable tool to evaluate malnutrition. Initiation of an early malnutrition screening and protein supplement program in this setting is essential to identifying and treating at-risk patients before complications occur.

Objectives The Broselow tape is a length-based tool used for the rapid estimation of pediatric weight and was developed to reduce dosage-related errors during emergencies. This study seeks to assess the accuracy of the Broselow tape and age-based formulas in predicting weights of South Sudanese children of varying nutritional status. Methods This was a retrospective, cross-sectional study using data from existing acute malnutrition screening programs for children less than 5 years of age in South Sudan. Using anthropometric measurements, actual weights were compared with estimated weights from the Broselow tape and three age-based formulas. Mid-upper arm circumference was used to determine if each child was malnourished. Broselow accuracy was assessed by the percentage of measured weights falling into the same color zone as the predicted weight. For each method, accuracy was assessed by mean percentage error and percentage of predicted weights falling within 10% of actual weight. All data were analyzed by nutritional status subgroup. Results Only 10.7% of malnourished and 26.6% of nonmalnourished children had their actual weight fall within the Broselow color zone corresponding to their length. The Broselow method overestimated weight by a mean of 26.6% in malnourished children and 16.6% in nonmalnourished children (p

Background : Several studies have cited the incidence of malnutrition in hospitals, which is correlated to negative clinical outcomes, to be up to 60%. Data in Singapore, however, are scarce. Its impact on casemix funding is not known. Aims : The aims of the present study were to determine the prevalence of malnutrition, the predisposing risk factors and the impact of documentation and coding of malnutrition on casemix funding in a local population in Singapore. Methods : Patients admitted to selected wards over a 1-month period were screened for malnutrition. Those at risk were further assessed using subjective global assessment. Logistic regression was used to ascertain the impact of identified factors on malnutrition. Financial impact analysis of coding of malnutrition as a comorbidity was carried out and tested with Wilcoxon signed rank tests. Results : Six hundred and fifty-eight patients were eligible for screening. The overall prevalence of malnutrition in the selected wards was 14.7% (95% confidence interval (CI): 12.0−17.4%). Old age, the occurrence of cancer and the admitting unit were statistically significant in explaining the occurrence of malnutrition. Coding of malnutrition was found to significantly increase the complexity of 24 of 105 episodes (22.9%) of patient care as measured by expected cost weights (P

Objectives: Strategies to effectively identify and refer children with severe acute malnutrition (SAM) to Nutritional Rehabilitation units (NRU) can reduce morbidity and mortality. Methods: From December 2011 to May 2012, we conducted a prospective study task-shifting inpatient malnutrition screening of Malawian children 6–60 months to lay-screeners and evaluated World Health Organization (WHO) criteria vs. the National Center for Health Statistics (NCHS) guidelines for SAM. Results: Lay-screeners evaluated 3116 children, identifying 368 (11.8%) with SAM by WHO criteria, including 210 (6.7%) who met NCHS criteria initially missed by standard clinician NRU referrals. Overall case finding increased by 56.7%. Mid-upper arm circumference (MUAC) and bipedal edema captured 86% (181/210) NCHS/NRU-eligible children and 89% of those who died (17/19) meeting WHO criteria. Mortality of NCHS/NRU-eligible children was 10 times greater than those without SAM (odds ratio 10.5, 95% confidence interval 5.4–20.6). Conclusions: Ward-based lay-screeners and WHO guidelines identified high-risk children with SAM missed by standard NRU referral. MUAC and edema detected the majority of NRU-eligible children.

Oncology inpatients are at high risk of malnutrition. Identification of at risk patients by nutrition screening requires a practical and easy to use tool. In this study, we have compared a simple, novel nutrition screening tool designed for an oncology inpatient setting and the Malnutrition Screening Tool (MST) against the Patient-Generated Subjective Global Assessment (PG-SGA).This was an observational study to compare assessment of nutritional status by PG-SGA with nutrition screening using the Royal Marsden Nutrition Screening Tool (RMNST) and the MST. Patients were recruited from a single tertiary cancer centre.One hundred and twenty-six oncology inpatients underwent a full nutritional assessment and nutrition screening. The PG-SGA tool identified 90 (71%) patients as malnourished or at risk and 36 (29%) patients as well-nourished. The RMNST had a sensitivity of 93% and a specificity of 53%, and the MST had a sensitivity of 66% and a specificity of 83 %. Predictive value (ROC AUC) of both screening tools was excellent at 0.84 and 0.83 for RMNST and MST, respectively.This study identified a high prevalence of malnutrition in the population with 71% of patients being identified as malnourished or at risk of malnutrition. The RMNST had an excellent sensitivity for identifying patients who were malnourished or at risk of malnutrition in the inpatient setting although it had a poor specificity. The MST had a poorer sensitivity of 66 %. We would recommend that the RMNST is trialled in other oncology inpatient settings and also in the outpatient setting.

Malnutrition is associated with a high morbi-mortality in elderly populations and their institutionalization at an early stage. The incidence is well known despite being often under-diagnosed in primary care. General practitioners (GPs) have a key role in home care. What are the factors affecting malnutrition-screening implementation by French GPs?We conducted a cross-sectional survey in two areas in the southeast of France (Savoie and Isère). In May 2008, an anonymized survey was sent by e-mail and/or post to all GPs with a large clinical practice. Two months later, reminder letters were sent. Potential barriers were measured by dichotomous scale. On GPs' characteristics (socio-demographic, medical training, geriatric practice and knowledge), multiple regression logistic was performed to identify others factors affecting malnutrition screening.In all, 493 GPs (26.85%) answered and 72.2% felt that malnutrition screening was useful although only 26.6% implemented it each year and 11.9% every 2-5 years. The main barriers to the implementation were patient selection (60.4%) and forgetting to screen (26.6%). Minor barriers were lack of knowledge (19.5%) or time (15%). New factors were identified: unsuitable working conditions (19.1%), insufficient motivation (6.8%) or technical support (7.2%). The quality of malnutrition information received was found to be the only promoter of annual screening (odds ratio=1.44 (1.087-1.919); P=0.011).This survey is the first in France to reveal GPs' factors affecting malnutrition implementation. New obstacles were identified in this survey. The hope of implementing regular malnutrition screening by GPs seems to lie with the quality of malnutrition information received.

Summary Background & aims This cohort study aimed to investigate and compare the ability to predict malnutrition in a group of frail older hospital patients in the United Kingdom using the nutritional risk screening tools, MUST (malnutrition universal screening tool), MNA-SF® (mini nutritional assessment-short form) and bioelectrical impedance assessment (BIA) of body composition. Methods MUST and MNA-SF was performed on 78 patients (49 males and 29 females, age: 82 y ± 7.9, body mass index (BMI): 25.5 kg/m2 ± 5.4), categorised by nutritional risk, and statistical comparison and test reliability performed. BIA was performed in 66 patients and fat free mass (FFM), fat mass (FM) and body cell mass (BCM) and index values (kg/m2) calculated and compared against reference values. Results MUST scored 77% patients ‘low risk’, 9% ‘medium risk’ and 14% ‘high risk’, compared to MNA-SF categorisation: 9%, 46% and 45%, respectively (P < 0.000001). Reliability assessment found poor reliability between the screening tools (coefficient, r = 0.4). Significant positive correlations were found between most variables (P < 0.05–

Background Acquisition of anthropometric measurements and assessment of growth in paediatric inpatients remains poor. The introduction of malnutrition screening tools that incorporate weight and height/length measurements might improve their acquisition and utilisation in other aspects of patient care. Methods Documentation of weight and/length measurements and their plotting on growth charts was evaluated using a case notes review in paediatric inpatients who were admitted before (n = 146), during (n = 154) and after the pilot (n = 151) and official (n = 128) clinical use of a screening tool. Results Documentation of weight was high in all periods (> 97% of patients). Height/length measurement documentation was negligible (4% of patients) but improved after the introduction of the screening tool (> 62%; P

Best Practice Guidelines recommend regular nutrition assessment of patients receiving haemodialysis, with priority to those with poorly controlled co-morbidities or malnutrition. On a nurse-led monthly care plan, serum albumin is currently being used to identify patients requiring referral to a dietitian. It is well documented that the specificity of serum albumin as a nutritional marker is limited by the presence of inflammation. The purpose was to compare albumin with an alternative screening tool. An annual malnutrition audit was conducted with 100 patients attending in-centre Haemodialysis across two centres. Each were assessed using the PG-SGA or SGA, and asked to rate their appetite on a five point scale (very poor, poor, fair, good or very good). Pre dialysis serum albumin levels were noted. Of the 100 patients assessed, 28% were classified as malnourished. 61% of all patients had a serum albumin of 35 g/L or less. 31% of all patients rated their appetite as being fair, poor or very poor. The sensitivity, specificity, positive predictive values and negative predictive values of albumin and appetite as a screening tool for malnutrition can be seen in the table. Albumin (≤35 g/L) Appetite (≤fair) Sensitivity 0.86 0.78 Specificity 0.49 0.86 Positive Predictive Value 0.39 0.68 Negative Predictive Value 0.90 0.91 If albumin is used as a screen for malnutrition and referral to a dietitian, 61% of those referrals will be assessed by the dietitian as well nourished, and 14% of malnourished patients would be missed. If appetite was used as a screen for malnutrition, 32% of those referrals will be assessed by the dietitian as well nourished, and 22% of malnourished patients would be missed. Asking patients to rate their appetite on a five point scale appears to be an effective way to screen for malnutrition in the haemodialysis population. In centres with limited dietitian support, this may be preferable to screening with albumin due to the reduced number of inappropriate referrals and therefore enabling the priority to lie with the patients with malnutrition.

Malnutrition is highly prevalent in hospitalized children and has been associated with relevant clinical outcomes. The scope of this review is to describe the five screening tools and the recent European Society for Parenteral and Enteral Nutrition (ESPEN) research project aimed at establishing agreed, evidence-based criteria for malnutrition and screening tools for its diagnosis in hospitalized children.Five nutrition screening tools have recently been developed to identify the risk of malnutrition in hospitalized children. These tools have been tested to a limited extent by their authors in the original published studies but have not been validated by other independent studies. So far, such screening tools have not been established widely as part of standard pediatric care.Although nutrition screening and assessment are recommended by European Society for Parenteral and Enteral Nutrition and the European Society for Pediatric Gastroenterology Hepatology and Nutrition and are often accepted to be required by healthcare facilities, there is no standardized approach to nutritional screening for pediatric inpatients. The near future will provide us with comparative data on the existing tools which may contribute to delineating a standard for useful nutrition screening in pediatrics.

Malnutrition is a serious problem in older adults, particularly for those at risk of hospital readmission. The essential step in managing malnutrition is early identification using a valid nutrition screening tool. The purpose of this study was to validate the Malnutrition Screening Tool (MST) in older adults at high risk of hospital readmission. Two RNs administered the MST to identify malnutrition risk and compared it with the comprehensive Subjective Global Assessment (SGA) to assess nutritional status for patients 65 and older who had at least one risk factor for hospital readmission. The MST demonstrates substantial sensitivity, specificity, and agreement with the SGA. These findings indicate that nursing staff can use the MST as a valid tool for routine screening and rescreening to identify patients at risk of malnutrition. Use of the MST may prevent hospital-acquired malnutrition in acute hospitalized older adults at high risk of readmission.

Progress in management of cerebral palsy (CP) patients has helped to increase life expectancy, but has also revealed nutritional consequences of this disability. The aims of this study were to determine the prevalence of malnutrition in long-term-institutionalized adult patients with CP and to propose specific malnutrition screening tool.Practitioners at 15 specialized institutions hosting CP patients assessed their nutritional status and completed a binary questionnaire containing thirteen questions related to factors suspected of increasing malnutrition. Moderate malnutrition was defined as the following: loss of weight (%) ≥ 5 to10 or BMI ≥ 16 to18.5 or albuminemia (g/l) ≥ 30 to35. Markers of malnutrition were identified by bivariate analysis (ANOVA and Chi-square). Stepwise factorial discriminant analysis was used to determine the best subset of parameters for use in computation of a screening score.A total of 365 patients age 35.7 ± 9.0 years were identified. Malnutrition was severe in 25%, moderate in 33% and absent in 42% of cases. The four strongest factors associated with malnutrition were used to build a three-level malnutrition screening tool for CP adult patients (CP-MST) as follows: body weight40 kg (10 points), sitting position uncomfortable or impossible (4 points), partial or total help to feed (4 points) and suspicion of gastro-esophageal reflux (3 points), (P0.0001): A screening score higher than 10 points indicated high risk with malnutrition probability of 90%, and detected 37% of malnourished patients. Conversely, a score equal to 0 excluded severe malnutrition in 90% of cases.In light of the fact that 58% of these patients were malnourished, the CP-MST would appear to be useful for detecting malnutrition, underlining the need for a multidisciplinary approach in CP patients.

(http://www.bapen.org.uk).Prospective malnutrition screening was carried out by a dietitian across two hospital sites in Southampton (Southampton GeneralHospital ( n = 274) and Royal South Hants ( n = 47)) between July 2008 and June 2009. Screening for malnutrition was not routinely partof practice in outpatients across these sites. Three hundred and twenty one outpatients (mean age 54 (

Background: The Malnutrition Screening Tool (MST) is a valid nutrition screening tool in the acute hospital setting but has not been assessed in residential aged care facilities. The aim of this secondary analysis was to determine whether the MST could be a useful nutrition screening tool when compared with a full nutrition assessment by Subjective Global Assessment (SGA) in the residential aged care setting. ----- Methods: Two hundred and eighty-five residents (29% male; mean age: 84 ± 9 years) from eight residential aged care facilities in Australia participated. A secondary analysis of data collected during a nutrition intervention study was conducted. The MST consists of two questions related to recent weight loss and appetite. While the MST was not specifically applied, weight loss and appetite information was available and an estimated MST score (0-5) calculated. Nutritional status was assessed by a research assistant trained in using SGA. ----- Results: Malnutrition prevalence was 42.8% (122 malnourished out of 285 residents). Compared to the SGA, the MST was an effective predictor of nutritional risk (sensitivity = 83.6%, specificity = 65.6%, positive predictive value = 0.65, negative predictive value =0.84). ----- Conclusions: The components of the MST have acceptable sensitivity and specificity suggesting it can play a valuable role in quickly identifying malnutrition risk in the residential aged care setting. Further prospective research using the MST tool against a broader array of objective and subjective nutritional parameters is required to confirm its validity as a screening tool in aged care settings.

Sheltered housing staff and buildings are underutilized. Health staff are encouraged to work in partnership with colleagues in sheltered housing, involving them in assessments and support arrangements. The charity ERoSH has a checklist and DVD to provide guidance on how such partnership working can be improved, including making better use of communal lounges for health related activities such as falls prevention, malnutrition screening, exercise.

We undertook this study to compare subjective global assessment (SGA) and nutrition risk index (NRI) as malnutrition screening tools in peritoneal dialysis (PD) patients. Nutrition status of the patients was categorized into low, moderate and high risk of malnutrition based on both NRI and SGA. The sensitivity, specificity and predictive values of NRI were compared with SGA, an already validated tool of nutrition status assessment in PD patients. Two hundred and eighty-three end-stage renal disease patients (age 50.02 ± 13.76 years; 204 males, 150 diabetic) were included. Based on SGA, 71/283 (25.08%) had normal nutrition, 192/283 (67.84%) mild–moderate and 20/283 (7.07%) severe malnutrition. Based on NRI, 38/283 (13.43%) patients had normal nutritional status, 193/283 (68.20%) mild-moderate and 52/283 (18.37%) severe malnutrition. Twenty-three of 283 (8.1%) were correctly classified as normal by NRI (true negative) and 197/283 (69.6%) as malnourished (true positive), 15/283 (5.3%) as false negative, 48/283 (16.96%) were misclassified as malnourished (false positive). NRI has sensitivity of 92.9% and specificity of 32.39%. Positive predictive value and Negative predictive values (NPVs) of NRI are 80.41% and 60.53%, respectively. Accuracy of the test is 78%. The receiver operating characteristic curve of NRI is 0.63. To conclude, NRI carries high sensitivity but low specificity as compared to SGA. It can be used as screening tool but not as a diagnostic tool for assessment of nutritional status in PD patients because of its low specificity and NPV.

96 Background: It is estimated that 50% of cancer patients are at risk for malnutrition, causing physical and emotional distress that interferes with cancer treatment. Early detection and intervention may prevent severe malnutrition. Assessment and management of malnutrition are included in National Comprehensive Cancer Network (NCCN) guidelines but no specific recommendation regarding screening tool selection is provided. The Malnutrition Screening Tool (MST) is a short, easily administered screening tool, validated for identification of malnutrition in cancer patients. In this study, we describe the results of MST administration in a large community cancer institute. Methods: The MST was administered during all patient visits to our cancer institute in 2015. Patients scoring 2 or higher were identified as ‘at risk’ for malnutrition, resulting in electronic dietitian referral prompts. We retrospectively reviewed MST results from April through June 2015 and compared to dietitian referrals during the same period in 2014. At that time, dietitian consults were prompted by physician referral, patient request, or triggered by NCCN distress thermometer screen. Results: The MST identified 84% more patients in need of dietitian referral in 2015 compared to usual care in 2014. From April through June 2015, the MST was administered during 4082 discrete patient encounters. 6.7% of these visits resulted in MST score of 2 or greater for a total of 193 ‘at risk’ patients in need of referral to dietitian. Weight loss of 2 pounds or greater was reported by patients in 16% of encounters. Eating poorly because of a decreased appetite was reported by patients in 13% of the encounters. From April through June 2014, 105 patients were referred for dietitian consult, indicating the MST identified 88 more ‘at risk’ patients. Conclusions: The MST is a simple, valid tool for malnutrition screening in cancer patients that resulted in an 84% increase in identification of ‘at risk’ patients. This tool should be considered for standard malnutrition screening of cancer patients, to prompt referral for dietitian intervention.