Validation of a new prognostic body composition parameter in cancer patients

Emanuele Cereda, Marilisa Caraccia, Catherine Klersy, Silvia Cappello, Annalisa Turri, Valeria Borioli, Nicole Stobäus, Antonello Giannoni, Luca Arcaini, Marco Benazzo, Giovanni Palladini, Paolo Pedrazzoli, Kristina Norman, Riccardo Caccialanza

Research output: Contribution to journalArticlepeer-review

Abstract

Background & aims: Estimation errors associated with bioelectric impedance evaluation may affect the accuracy of body composition and its prognostic value. We evaluated the prognostic value of a new body composition parameter (Nutrigram®) obtained from bioimpedance vectorial analysis-derived body cell mass and its association with nutritional and functional status. Design: Data of Italian and German cancer patients observed prospectively until death were used. Multivariable models (adjusted for age, gender, hydration status, performance status, and disease's stage) were built in both cohorts to assess the association between body composition outcome parameters (low fat-free mass [FFM], <15 [females] and <17 [males] kg/m2; low standardized phase angle [SPA], <−1.65; low Nutrigram®, <510 [females] and <660 [males] mg/24 h/m) and 1-year all-cause mortality, low body mass index (BMI; <20 [<70 years] and <22 [≥70 years] kg/m2), clinically significant weight loss (WL; ≥10% in 6 months) and low handgrip strength (HG; <20 [females] and <30 [males] kg). Results: Low Nutrigram® was independently associated with mortality in both Italian (HR = 1.84 [95%CI, 1.18–2.86]; P = 0.007) and German cohorts (HR = 1.52 [95%CI, 1.17–2.07]; P = 0.008). Low FFMI and low SPA did not predict survival in the German cohort. In patients with low Nutrigram®, worse nutritional and functional status were observed in both study populations. Performance of models addressing the study endpoints showed substantial consistency with both cohorts, particularly of those including low Nutrigram®. Conclusions: We validated a new prognostic body composition parameter, which is easier to interpret than standard nutritional parameters and may be useful for identifying cancer patients at nutritional risk, requiring early nutritional support.

Original languageEnglish
JournalClinical Nutrition
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Body composition
  • Cancer patients
  • Fat-free mass index
  • Mortality
  • Phase angle

ASJC Scopus subject areas

  • Nutrition and Dietetics
  • Critical Care and Intensive Care Medicine

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