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Article in Chinese | WPRIM | ID: wpr-865643

ABSTRACT

Objective:To construct a nomogram model to predict the tolerance of postoperative chemotherapy in endometrial cancer patients by analyzing nutrition-related indexes.Methods:Patients with endometrial cancer who underwent surgery and postoperative chemotherapy in Suzhou Municipal Hospital from July 2013 to July 2019 were included in this study. Some nutrition-related indexes were collected, including age, diabetes, body mass index(BMI), blood albumin, prealbumin, lymphocyte count, hemoglobin, blood platelets, C-reactive protein and blood cholesterol, aspertate aminotransferase, alanine aminotransferase and chemotherapy tolerance. The model for prediction of postoperative chemotherapy tolerance of patients with endometrial cancer were constructed by analyzing these nutrition-related indexes.Results:A total of 83 patients were enrolled, aged from 32 to 81 years, with an average age of (55.15 ± 9.38) years, and BMI were 14.53 - 30.11 kg/m 2, with an average BMI of (22.03 ± 2.93) kg/m 2. All the 83 patients were confirmed as endometrial cancer by postoperative pathology, and received TP or TC chemotherapy after surgery. Before starting chemotherapy, 83 patients were scored on the NRS-2002 scale, 43 were considered to be at risk of malnutrition or nutrition. After receiving chemotherapy, 34 patients developed intolerance to chemotherapy, and the remaining 49 were tolerable. The results of univariate and multivariate regression analysis showed that the presence or absence of diabetes ( HR = 5.634, P = 0.038), lymphocyte count ( HR = 0.146, P = 0.004), and albumin ( HR = 0.857, P = 0.011) were independent influencing factors of chemotherapy tolerance. Conclusions:Diabetes mellitus, lymphocyte count and albumin level can be used to predict the tolerance of chemotherapy in patients with endometrial cancer. The nomogram model of these three nutrition-related indexeshad a good prediction ability to predict the tolerance of chemotherapy in patients with endometrial cancer.

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