Prediagnostic body weight and survival in high grade glioma

Academic Article


  • Greater adiposity has been linked to an increased risk and/or poorer survival in a variety of cancers. We examined whether prediagnostic body weight 1-5 years prior to diagnosis is associated with survival in patients with high grade glioma. The analysis was based on a series of patients with high-grade glioma (N = 853) enrolled in a US-based multicenter case-control study. Subjects reported height and weight 1-5 years prior to interview and at age 21. BMI was categorized according to WHO criteria as underweight (BMI <18.5 kg/m 2), normal weight (BMI 18.5-24.9 kg/m2), overweight (BMI 25-29.9 kg/m2) and obese (BMI ≥30 kg/m2). Proportional hazards regression was used to estimate hazard ratios (HR) and 95 % confidence intervals (CIs) for glioma-related death according to body mass index (BMI, kg/m2). Overall survival was reduced among patients underweight (median survival: 12.0 months) or obese (median: 13.6 months) when compared to patients of normal weight (median: 17.5 months) prior to glioma diagnosis (p = 0.004). In a multivariate model controlling for other prognostic factors, an excess mortality was observed in patients reporting obese body weights 1-5 years prior to study interview when compared to patients with a normal BMI (HR = 1.32; 95 % CI 1.04-1.68). Consistent patterns of association with excess body weight were observed in men and women, and all findings were similar regardless of treatment for glioma. A lower than optimal body weight was associated with a nonsignificant excess mortality in multivariate analysis. Premorbid obesity was significantly associated with a poor patient outcome independent of treatment and established prognostic factors. Excess body weight may be an adverse prognostic factor in glioma, a relationship observed across a spectrum of cancer types. The current findings linking prediagnostic body weight with mortality in high-grade glioma warrant further research. © 2013 Springer Science+Business Media New York.
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    Digital Object Identifier (doi)

    Author List

  • Siegel EM; Nabors LB; Thompson RC; Olson JJ; Browning JE; Madden MH; Han G; Egan KM
  • Start Page

  • 79
  • End Page

  • 84
  • Volume

  • 114
  • Issue

  • 1