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Observational Study
. 2024 Aug;9(8):103666.
doi: 10.1016/j.esmoop.2024.103666. Epub 2024 Aug 12.

Bioimpedance-derived body composition parameters predict mortality and dose-limiting toxicity: the multicenter ONCO-BIVA study

Collaborators, Affiliations
Observational Study

Bioimpedance-derived body composition parameters predict mortality and dose-limiting toxicity: the multicenter ONCO-BIVA study

E Cereda et al. ESMO Open. 2024 Aug.

Abstract

Background: In patients with cancer, lean body mass loss is frequent and associated with worse outcomes, including reduced treatment tolerance and survival. Bioelectrical impedance analysis (BIA) is a popular method for body composition assessment. We evaluated the value of BIA-derived body composition parameters in predicting mortality and, for the first time, dose-limiting toxicity (DLT).

Patients and methods: We conducted a prospective multicenter (n = 12) observational study in adult patients with solid neoplastic disease and receiving primary systemic treatment. We collected information on BIA-derived parameters: phase angle (PhA) <5th percentile of age and gender-specific normative values; standardized PhA (SPA) <-1.65; Nutrigram® <660 mg/24 h/m and <510 mg/24 h/m for males and females, respectively. The primary outcome and the key secondary were 1-year mortality and DLT (any-type severe toxicity requiring a delay in systemic treatment administration or a reduction of its dosage), respectively.

Results: In total, 640 patients were included. At 12 months, death occurred in 286 patients (47.6%). All BIA-derived body composition parameters were independently associated with death: SPA, hazard ratio (HR) = 1.59 [95% confidence interval (CI) 1.30-1.95] (P < 0.001); PhA, HR = 1.38 (95% CI 1.13-1.69) (P = 0.002); Nutrigram®, HR = 1.71 (95% CI 1.42-2.04) (P < 0.001). DLT occurred in 208 patients (32.5%) and body composition parameters were associated with this outcome, particularly SPA: odds ratio = 6.37 (95% CI 2.33-17.44) (P < 0.001).

Conclusions: The study confirmed that BIA-derived body composition parameters are independently associated not only with survival but also with DLT. Although our findings were limited to patients receiving first-line systemic treatment, the evidence reported may have important practice implications for the improvement of the clinical work-up of cancer patients.

Keywords: bioelectrical impedance vectorial analysis; body composition; cancer; dose-limiting toxicity; mortality; phase angle.

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Figures

Figure 1
Figure 1
Survival probability (Kaplan–Meier) according to BIA-derived body composition parameters. (A) Low standardized phase angle (<−1.65). (B) Low phase angle (<5th percentile of age- and gender-specific normative values). (C) Low Nutrigram® (<660 mg/24 h/m and <510 mg/24 h/m for males and females, respectively). BIA, bioelectrical impedance analysis.

References

    1. Arends J., Bachmann P., Baracos V., et al. ESPEN guidelines on nutrition in cancer patients. Clin Nutr. 2017;36(1):11–48. - PubMed
    1. Couderc A.L., Liuu E., Boudou-Rouquette P., et al. Pre-therapeutic sarcopenia among cancer patients: an up-to-date meta-analysis of prevalence and predictive value during cancer treatment. Nutrients. 2023;15(5):1193. - PMC - PubMed
    1. Cederholm T., Jensen G.L., Correia M.I.T.D., et al. GLIM criteria for the diagnosis of malnutrition - a consensus report from the global clinical nutrition community. Clin Nutr. 2019;38(1):1–9. - PubMed
    1. Caccialanza R., Pedrazzoli P., Cereda E., et al. Nutritional support in cancer patients: a position paper from the Italian Society of Medical Oncology (AIOM) and the Italian Society of Artificial Nutrition and Metabolism (SINPE) J Cancer. 2016;7(2):131–135. - PMC - PubMed
    1. Huiskamp L.F.J., Chargi N., Devriese L.A., May A.M., Huitema A.D.R., de Bree R. The predictive value of low skeletal muscle mass assessed on cross-sectional imaging for anti-cancer drug toxicity: a systematic review and meta-analysis. J Clin Med. 2020;9(11):3780. - PMC - PubMed

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