2nd Edition of Diabetes and Endocrinology World Conference 2026

Abstract

Good nutrition is an integral part of patient’s health care and recovery. The patient is likely to experience ill health and in extreme cases malnutrition if proper nutrients are not included in the daily intake. The malnutrition status of hospitalised geriatric patients is identified by assessing their health condition using malnutritional screening tools namely, Malnutrition Universal Screening Tool (MUST), Nutritional Risk Screening-2002 (NRS-2002) and Mini Nutritional Assessment (MNA). These tools are based on the patient's physical health condition, dietary habits, disease information and are particularly used in hospitals and home care settings. The literature survey suggests that MUST, NRS-2002, MNA and few other screening tools are inadequate in terms of understanding the geriatric patient's comorbidity and dietary assessment. The existing malnutritional screening tools under consideration are lengthy, time-consuming and non-uniform in terms of determining the Body Mass Index (BMI) score and malnutrition risk category of the geriatric patient. Our study about malnutrition status identification and prediction focuses on hospitalised geriatric patients.

To overcome the drawback of existing malnutrition screening tools, our study aims to consider the essential parameters of MUST, NRS-2002 and MNA that classify geriatric patients into low, medium and high nutrition risk categories based on the total nutrition score. The total nutrition score is calculated from the summation of numerical values assigned to the screening tool features. This nutrition score helps to identify the geriatric patient’s malnutrition risk status.

On the basis of the issues in these screening tools, a new nutritional screening tool, MalNutrition Management (MNM-2021) is suggested to classify hospitalised geriatric patients as per the malnutrition risk category. The research also predicts the nutrient requirements as per the comorbidity. To illustrate our work a dataset of 270 patients’ records is assessed during experimentation and then validated. The research identifies body mass index, acute disease effect score, impaired nutrition status, disease severity, mode of feeding, health status and mobility as essential parameters from these screening tools. These parameters will assist the health practitioners in classifying the patients into high, medium and low-risk categories. The research designs a screening tool for geriatric patients and assess the nutrition risk in geriatric patients.