METHODS AND ANALYSIS: NPC patients will be required to complete a risk factor questionnaire after obtaining their informed consent. The risk factor questionnaire will be used to collect potential risk factors for malnutrition. Univariate and multivariate logistic regression analyses will be used to identify risk factors for malnutrition. A new nutritional assessment tool will be developed based on risk factors. The new tool's performance will be assessed by calibration and discrimination. The bootstrapping will be used for internal validation of the new tool. In addition, external validation will be performed by recruiting NPC patients from another hospital.
DISCUSSION: If the new tool is validated to be effective, it will potentially save medical staff time in assessing malnutrition and improve their work efficiency. Additionally, it may reduce the incidence of malnutrition and its adverse consequences.
STRENGTHS AND LIMITATIONS OF THIS STUDY: The study will comprehensively analyze demographic data, disease status, physical examination, and blood sampling to identify risk factors for malnutrition. Furthermore, the new tool will be systematically evaluated, and validated to determine their effectiveness. However, the restricted geographical range may limit the generalizability of the results to other ethnicities. Additionally, the study does not analyze subjective indicators such as psychology.
ETHICS AND DISSEMINATION: The ethical approval was granted by the Ethical Committee of the First Affiliated Hospital of Guangxi Medical University (NO. 2022-KT-GUI WEI-005) and the Second Affiliated Hospital of Guangxi Medical University (NO. 2022-KY-0752).
CLINICAL TRIAL REGISTRATION NUMBER: ChiCTR2300071550.
RESULTS: Out of 339 participants, 24.8% (95% CI 20.21-29.30) fell into the normal nutritional status range; 49.6% (95% CI 44.29-54.91) were at risk for malnutrition while 24.8% (95% CI 20.21-29.30) were in the malnourished range, based on Mini Nutritional Assessment scores. Our findings revealed that belonging to a Dalit community, being unemployed, having experience of any form of mistreatment, lack of physical exercise, experiencing problems with concentration in past 30 days and taking medication for more than one co-morbidity was significantly associated with the malnutrition status of the elderly.
METHODS: A literature search was performed on six databases using the terms "malnutrition", "hospitalised elderly", "nutritional assessment", "Mini Nutritional Assessment (MNA)", "Geriatric Nutrition Risk Index (GNRI)", and "Subjective Global Assessment (SGA)".
RESULTS: According to the previous studies, the prevalence of malnutrition among hospitalized elderly shows an increasing trend not only locally but also across the world. Under-recognition of malnutrition causes the number of malnourished hospitalized elderly to remain high throughout the years. Thus, the development of nutritional screening and assessment tools has been widely studied, and these tools are readily available nowadays. SGA, MNA, and GNRI are the nutritional assessment tools developed specifically for the elderly and are well validated in most countries. However, to date, there is no single tool that can be considered as the universal gold standard for the diagnosis of nutritional status in hospitalized patients.
CONCLUSION: It is important to identify which nutritional assessment tool is suitable to be used in this group to ensure that a structured assessment and documentation of nutritional status can be established. An early and accurate identification of the appropriate treatment of malnutrition can be done as soon as possible, and thus, the malnutrition rate among this group can be minimized in the future.
METHODS: A cross-sectional study was conducted among 260 children admitted to general medical wards. SGNA and anthropometric measurements were used as references. Kappa agreement, diagnostic values, and area under the curve (AUC) were analyzed to evaluate the diagnostic ability of the AND/ASPEN malnutrition diagnosis tool. Logistic binary regression was performed to determine the predictive ability of each malnutrition diagnosis tool on the length of hospital stay.
RESULTS: The AND/ASPEN diagnosis tool detected the highest malnutrition rate (41%) among the hospitalized children in comparison with the reference methods. This tool demonstrated fair specificity of 74% and sensitivity of 70% compared with the SGNA. It obtained a weak agreement in determining the presence of malnutrition by kappa (0.06-0.42) and receiver operating characteristic curve analysis (AUC = 0.54-0.72). The use of the AND/ASPEN tool obtained an odds ratio of 0.84 (95% CI, 0.44-1.61; P = 0.59) in predicting the length of hospital stay.
CONCLUSIONS: The AND/ASPEN malnutrition tool is an acceptable nutrition assessment tool for hospitalized children in general medical wards.