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Patient-Generated Subjective Global Assessment and Phase Angle as Predictors of Survival in Cancer Patients
Marco Aurélio Ribeiro1, Fernanda Peria2, Gleici da Silva Perdona3
1Division of Nutrition and Metabolism, Department of Internal Medicine, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, BRA.
Background:
Malnutrition is a common and serious complication among cancer patients that negatively affects treatment response, quality of life, and overall survival. Tools such as the Patient-Generated Subjective Global Assessment (PG-SGA©) and phase angle (PA), which is derived from bioelectrical impedance analysis (BIA), have shown promise in identifying nutritional risk. Their effectiveness as mortality predictors requires further validation. Objective: Investigate the association between different nutritional assessment approaches, including the PG-SGA, body mass index (BMI), fat-free mass index (FFMI), and phase angle, and overall survival in patients undergoing systemic cancer treatment.
Methods:
A prospective study was conducted with 111 adult patients treated at a tertiary university hospital. Nutritional assessments were performed using the PG-SGA and BIA, and clinical and oncological data were collected. Survival analysis was performed using Kaplan-Meier curves, and mortality-associated variables were identified using Cox proportional hazards regression models.
Results:
During the follow-up period, 51.4% of patients died. PG-SGA classification was strongly associated with mortality; severely malnourished patients had a 4.68-fold higher risk of death than well-nourished patients (hazard ratio [HR]: 4.68; p < 0.001), even after adjusting for tumor type. FFMI also emerged as a relevant marker, with higher mortality observed in patients with low lean body mass. Phase angle showed a significant association with survival in univariate analysis, though this association lost significance after adjusting for clinical stage.
Conclusion:
These findings suggest that a comprehensive nutritional assessment that integrates clinical and bioelectrical parameters may provide valuable information for risk stratification in oncology. The PG-SGA classification stood out as an independent predictor of mortality, and phase angle demonstrated potential as a complementary marker. The results underscore the importance of early nutritional screening as an essential component of multidisciplinary cancer care.
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