Abstract

9567 Background: A Recursive Partitioning Analysis (RPA) algorithm predicted four groups with distinct median survivals in patients with advanced cancer entering palliative care (ASCO 2010, Abst 9040). We investigated whether this algorithm could apply to cancer patients starting systemic therapy. Methods: The RPA algorithm is based upon Karnofsky performance status (KPS), Functional Assessment of Cancer Therapy (FACT) physical well-being (PWB) subscale, and Memorial Symptom Assessment Scale Short Form (MSAS-SF) physical symptom distress (PHYS) subscale. Starting in 2007, a convenience sample of Veterans who were prescribed systemic treatment for their cancer was enrolled in an IRB approved protocol, and completed quality of life (FACT- G) and symptom (MSAS SF) questionnaires prior to starting the first cycle of treatment. We analyzed records of patients with stage IV metastatic solid tumors enrolled through August 2011, and determined survival as of December 1, 2012. Analyses were performed with STATA 11.0. Results: There were 72 patients (pts). The median age was 63 yrs, (range 46-86). Men comprised 71 (98%) pts. First line systemic therapy was given to 59 (82%) pts. The most common primary sites were lung cancer (25 pts, 35%), prostate 9 pts(12%) and colon 7 pts (10%). Median KPS was 90% (range 40-100%), PWB median 23 (range 6-28), and MSAS SF median PHYS 0.73 (range 0-2.93). Overall median survival was 269 days (range 6-1762) and 57 pts (79%) had died. There was 1 pt in group 1, 45 pts in group 2, 8 pts in group 3, and 18 pts in group 4. Median survival (days) by RPA group was 155 for group 1, 177 for group 2, 292 for group 3, and 610 for group 4 (p=.011). Conclusions: These preliminary findings suggest that this algorithm is capable of dividing patients with metastatic solid tumor who are starting chemotherapy into prognostic groups. It may have applications in clinical trials. Further development is indicated. [Table: see text]

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