Abstract

Abstract BACKGROUND Health-related quality of life (QoL) and patient reported outcomes are essential to guide patient-care. The NIH sponsored electronic Patient-Reported Outcomes Measurement Information System (PROMIS) is well established in multiple cancers but not in Glioblastoma (GBM). The aim of this study was to analyze the association of the PROMIS measures with the European Organization for Research and Treatment of Cancer core instrument (EORTC-QLQ-C30) and the brain tumor specific EORTC QLQ-BN20 questionnaire (EORTC-BN20) in GBM patients. METHODS Newly diagnosed patients with GBM were enrolled prospectively to assess association between both tools. The PROMIS modules were selected to reflect the quality of life domains assessed in the EORTC- QLQ-C30 and EORTC-BN20 questionnaires. Pearson’s correlation coefficients were computed between the PROMIS and EORTC-C30/ EORTC-BN20 measures. Due to multiple responses over time, the p-values for the correlation coefficients were adjusted. Because of the large number of correlations computed and many with p-values less than 0.05, the magnitude of the correlation was considered. Correlations greater than 0.5 or less than -0.5 were consider to be “strong” associations, while correlations between 0.3 and 0.499 (or -0.3 and -0.499) were consider to be “moderate”. RESULTS 43 patients with 124 PROMIS/EORTC responses were included in this analysis. The PROMIS measures had strong associations with the QoL functioning and fatigue measures from the EORTC-C30 and future uncertainty, communication deficit, motor dysfunction, social satisfaction and drowsiness from the EORTC-BN20 (all p< 0.001 and correlation >0.5). CONCLUSIONS There are strong and moderate correlations in the majority of PROMIS assessments and the EORTC tools. The PROMIS toolkit may be used to assess core features of the EORTC surveys. GI symptoms, seizures and itchy skin do not correlate. Given the prior documented shorter assessment time, the PROMIS toolkit may be a feasible alternative to established legacy tools to assess QoL in GBM patients.

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