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The clinical application value of phase angle of six parts in nutritional evaluation of tumor patients

OBJECTIVES: The purpose of this study was to explore the clinical application value of phase angle (PA) of six parts in the nutritional evaluation and construct a prediction model for diagnosing malnutrition of tumor patients. METHODS: A total of 1129 patients with malignant tumors were analyzed ret...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaoling, Zhang, Jialei, Du, Yunyi, Wu, Xiaoyu, Chang, Yali, Li, Weiling, Liu, Yaqin, Hu, Wenqing, Zhao, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512732/
https://www.ncbi.nlm.nih.gov/pubmed/35759048
http://dx.doi.org/10.1007/s00520-022-07240-x
Descripción
Sumario:OBJECTIVES: The purpose of this study was to explore the clinical application value of phase angle (PA) of six parts in the nutritional evaluation and construct a prediction model for diagnosing malnutrition of tumor patients. METHODS: A total of 1129 patients with malignant tumors were analyzed retrospectively. The age, sex, tumor location and body mass index (BMI) of the patients were collected, and PA of six parts was measured. The Patient Subjective Global Assessment (PG-SGA) was used to evaluate the nutritional status of each patient. RESULTS: According to the PG-SGA, 66.5% (n = 750) of the patients were evaluated as malnourished. Patients under the age of 65 had higher PA values. The PA value of men was higher than that of women (except PA-RL). In different disease groups, the PA-RA and PA-TR values were significantly different. In our study, PA value increases with BMI and decreases with PG-SGA (except PG-SGA 0–1 group). Multivariate regression analysis indicates that the age (HR = 1.051, 95% CI 1.037–1.066, P < 0.001), BMI (HR = 0.885, 95% CI 0.849–0.924, P < 0.001), and PA-WB (HR = 0.615, 95% CI 0.546–0.692, P < 0.001) were independent significant predictors associated with malnutrition. The AUC of the prediction model is 0.7631 (p < 0.001), indicating that the model including age, BMI, and PA-WB has certain diagnostic value for the diagnosis of malnutrition. CONCLUSION: The PA-WB is an independent prognostic factor of malnutrition. The prediction model constructed by age, BMI, and PA-WB can be used as a useful tool for nutritional evaluation of tumor patients. TRIAL REGISTRATION: Clinical Trial No.: ChiCTR2100047858.