Literature DB >> 31030501

Validation of the Scored Patient-Generated Subjective Globalzzm321990Assessment (PG-SGA) in Thai Setting and Association withzzm321990Nutritional Parameters in Cancer Patients

Nicharach Nitichai1, Jongjit Angkatavanich1, Nicha Somlaw2, Narin Voravud2, Chawalit Lertbutsayanukul3.   

Abstract

Background: The Scored Patient-Generated Subjective Global Assessment (PG-SGA) is a multidimensional tool to assess malnutrition and risk factors. The objectives of this study are to determine the validity of the Thai version of the Scored PG-SGA (Thai PG-SGA) and examine the correlations with selected nutritional parameters.
Methods: This observational analytic study included 195 cancer patients aged greater than 18 years at a university-affiliated hospital in Bangkok, Thailand. All patients were assessed for nutritional status by Thai PG-SGA in comparison to subjective global assessment (SGA). Anthropometry, body composition, and hand grip strength were evaluated.
Results: According to PG-SGA global assessment categories, 39% (75) of 195 cancer patients were well nourished, 27% (53) were moderately malnourished and 34% (67) of patients were severely malnourished. Thai PG-SGA had a sensitivity of 99.1% and a specificity of 86.0% at predicting SGA classification. PG-SGA numerical scores were significantly different between well-nourished and malnourished groups (4.2 ± 2.4 Vs 16.3 ± 4.9; p < 0.001). The PG-SGA scores, nutritional status assessed by PG-SGA, and nutritional status assessed by SGA were correlated with weight, % weight loss in one month, body mass index, body fat, and hand grip strength (p < 0.001) respectively. Conclusions: Thai PG-SGA showed high sensitivity and good specificity in predicting malnutrition in Thai cancer patients. This tool demonstrated the correlations with anthropometric parameters, body composition, and muscle strength. Creative Commons Attribution License

Entities:  

Keywords:  Nutritional assessment; nutritional status; scored patient; generated subjective global assessment; malnutrition

Mesh:

Year:  2019        PMID: 31030501     DOI: 10.31557/APJCP.2019.20.4.1249

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  5 in total

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