Esfahani Ali, Somi Mohammad Hossein, Asghari Jafarabadi Mohammad, Ostadrahimi Alireza, Ghayour Nahand Mousa, Fathifar Zahra, Doostzadeh Akram, Ghoreishi Zohreh
Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz.
Gastroenterology, Liver & Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz.
Jpn J Clin Oncol. 2017 Jun 1;47(6):475-479. doi: 10.1093/jjco/hyx034.
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.
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.
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%.
MS-score has been suggested as an available and easy-to-use tool for malnutrition screening in patients with IGA.
营养不良在胃癌患者中很常见。早期识别营养不良患者可提高生活质量。我们旨在评估不可切除胃腺癌(IGA)患者的营养状况,并在化疗开始前为这些患者找到精确的营养不良筛查评分。
使用患者主观整体评定法(PG-SGA)、内脏蛋白和高敏C反应蛋白评估营养状况。评估癌胚抗原(CEA)、糖类抗原125(CA-125)和CA 19-9等肿瘤标志物及其与营养状况的关联。然后定义了一种新的营养不良筛查评分。
71例IGA患者完成了研究。营养不良和营养良好的患者(基于PG-SGA)在白蛋白、前白蛋白和CA-125方面存在统计学差异。确定前白蛋白预测营养不良的最佳临界值为0.20mg/dl,并使用白蛋白(3.5g/dl)和CA-125(35U/ml)的已知临界值,定义了一种新的营养不良筛查评分,称为MS评分。根据MS评分,92%的患者存在营养不良,其预测营养不良的灵敏度为96.8%,特异度为50%,准确率为91.4%。
MS评分被认为是一种可用于IGA患者营养不良筛查的简便工具。