Validation of assessment categories of the patient-generated subjective global assessment tool in classifying the nutritional status of cancer patients

Lohith, M. S. and Namratha Pai, K. and Asna Urooj (2018) Validation of assessment categories of the patient-generated subjective global assessment tool in classifying the nutritional status of cancer patients. International Journal of Nutrition Pharmacology Neurological Diseases, 8 (3). pp. 79-85. ISSN 2231-2722

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Abstract

Background: The patient-generated-subjective global assessment (PG-SGA) tool is considered as the most appropriate nutrition screening tool in oncological setting, since the scoring system enables the patients to be triaged for nutrition intervention. In this study, an attempt was made to determine the precision in classifying patients with cancer as per the Subjective global assessment (SGA) rating or Nutritional Triage recommendations using the PG-SGA tool. Methods: The study was conducted in cancer hospitals of Mysore, Karnataka, India, to recruit 136 cancer patients receiving treatment during a period of 1 year. The PG-SGA tool version 3.22.15 was used for eliciting information and to assess the nutritional status of cancer patients. Results: Among 136 cancer patients, 95.74%, 97.05%, and 74.54% of head-and-neck cancers (HNC), gastrointestinal cancers (GIC), and other cancers (OC), respectively, were malnourished (SGA B + C) according to the SGA categories (SGAC), whereas 93.61%, 97.05%, and 81.81% of HNC, GIC, and OC, respectively, were categorized under severe nutrition risk as per the scored nutritional triage recommendations (SNTR). SGAC had an area under curve (AUC) of 0.961, whereas nutritional triage recommendations had an AUC of 1.0, signifying higher precision of using SNTR to assess the nutritional risk and need for nutritional intervention among cancer patients. Conclusions: Overall, SNTR is more precise in assessing the nutritional status among cancer patients than SGAC and also helps in developing a better nutritional care plan for effective prognosis.

Item Type:	Article
Subjects:	B Life Science > Food Science and Nutrition
Divisions:	Department of > Food Science and Nutrition
Depositing User:	Manjula P Library Assistant
Date Deposited:	24 Jul 2019 07:51
Last Modified:	24 Jul 2019 07:51
URI:	http://eprints.uni-mysore.ac.in/id/eprint/5518

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