A new score for screening of malnutrition in patients with inoperable gastric adenocarcinoma.

Autor:	Esfahani A; Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz., Somi MH; Gastroenterology, Liver & Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz., Asghari Jafarabadi M; Road Traffic Injury Research Center and Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz., Ostadrahimi A; Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz., Ghayour Nahand M; Common Diseases Risk Factors Management Institute, Tabriz University of Medical Sciences, Tabriz., Fathifar Z; Research Center for Evidence Based Medicine and Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran., Doostzadeh A; Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz., Ghoreishi Z; Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz.
Jazyk:	angličtina
Zdroj:	Japanese journal of clinical oncology [Jpn J Clin Oncol] 2017 Jun 01; Vol. 47 (6), pp. 475-479.
DOI:	10.1093/jjco/hyx034
Abstrakt:	Background: Malnutrition is common in patients with gastric cancer. Early identification of malnourished patients results in improving quality of life. We aimed to assess the nutritional status of patients with inoperable gastric adenocarcinoma (IGA) and finding a precise malnutrition screening score for these patients before the onset of chemotherapy. Methods: Nutritional status was assessed using patient generated subjective global assessment (PG-SGA), visceral proteins, and high-sensitivity C reactive protein. Tumor markers of carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA-125) and CA 19-9 and their association with nutritional status were assessed. Then a new score for malnutrition screening was defined. Results: Seventy-one patients with IGA completed the study. Malnourished and well-nourished patients (based on PG-SGA) were statistically different regarding albumin, prealbumin and CA-125. The best cut-off value for prealbumin for prediction of malnutrition was determined at 0.20 mg/dl and using known cut-off values for albumin (3.5 g/dl) and CA-125 (35 U/ml), a new score was defined for malnutrition screening named MS-score. According to MS-score, 92% of the patients had malnutrition and it could predict malnutrition with 96.8% sensitivity, 50% specificity and accuracy of 91.4%. Conclusion: MS-score has been suggested as an available and easy-to-use tool for malnutrition screening in patients with IGA. (© The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Databáze:	MEDLINE
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