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Bioimpedance-derived body composition parameters predict mortality and dose-limiting toxicity: the multicenter
E Cereda1, A Casirati1, C Klersy2
1Clinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia.
ESMO Open
|August 13, 2024
Summary
Bioelectrical impedance analysis (BIA) effectively predicts mortality and severe toxicity in cancer patients. These body composition metrics offer valuable insights for improving patient care and treatment tolerance.
Area of Science:
- Oncology
- Body Composition Analysis
- Clinical Nutrition
Background:
- Lean body mass loss is common in cancer patients, negatively impacting treatment tolerance and survival.
- Bioelectrical impedance analysis (BIA) is a widely used method for assessing body composition.
- The predictive value of BIA parameters for mortality and dose-limiting toxicity (DLT) in cancer patients requires further investigation.
Purpose of the Study:
- To evaluate the utility of BIA-derived body composition parameters in predicting 1-year mortality in cancer patients.
- To assess the association between BIA parameters and dose-limiting toxicity (DLT) in cancer patients receiving primary systemic treatment.
- To explore the clinical implications of BIA in the management of cancer patients.
Main Methods:
- A prospective, multicenter observational study involving 640 adult patients with solid tumors undergoing primary systemic treatment.
- Collection of BIA-derived parameters including phase angle (PhA), standardized PhA (SPA), and Nutrigram®.
- Primary outcome: 1-year mortality. Key secondary outcome: DLT, defined as severe toxicity necessitating treatment modification.
Main Results:
- All BIA parameters (SPA, PhA, Nutrigram®) were independently associated with increased 1-year mortality.
- SPA demonstrated a significant association with mortality (HR=1.59, P<0.001).
- BIA parameters, particularly SPA (OR=6.37, P<0.001), were significantly associated with the occurrence of DLT.
Conclusions:
- BIA-derived body composition parameters are independent predictors of both mortality and DLT in cancer patients.
- These findings suggest BIA can enhance clinical assessment and potentially guide treatment strategies.
- The study highlights the importance of body composition assessment in optimizing cancer patient care.

