lower socioeconomic status is associated with malignancy in patients ...

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THE JOURNAL OF UROLOGYâ

Vol. 191, No. 4S, Supplement, Friday, May 16, 2014

not associated with kidney cancer death (p¼0.86). In multivariate analyses, individuals who reported “any physical activity” were 50% less likely [adjusted hazard ratio (HRadj) 0.50, 95% CI, 0.27 to 0.93, p-value ¼ 0.028] to die of kidney cancer than non-exercisers , while obese individuals (BMI  30 kg/m2) were nearly 3 times more likely (HRadj 2.84, 95% CI 1.30 to 6.23, p-value ¼ 0.009) compared to those of normal weight (BMI < 25 kg/m2). Compared to never smokers, former smokers were twice as likely to die of kidney cancer (HRadj 2.00, 95% CI 1.05 to 3.80, p-value ¼ 0.034). There was no significant association of current smoking with kidney cancer death (HRadj 1.75, 95% CI 0.76 to 4.10, p-value ¼ 0.19). CONCLUSIONS: Physical activity decreases and obesity increases the risk of kidney cancer mortality. Exercise and weight loss may potentially prevent kidney cancer death. Source of Funding: None

MP2-10 THE ASSOCIATION BETWEEN SOCIOECONOMIC STATUS AND RENAL CANCER PRESENTATION Matthew Danzig*, Aaron Weinberg, Rashed Ghandour, Srinath Kotamarti, James McKiernan, Ketan Badani, New York, NY INTRODUCTION AND OBJECTIVES: Most renal cancers in the United States are currently diagnosed incidentally on abdominal imaging. These tumors present relatively smaller and are localized compared to symptomatic tumors. Discrepancies in access to health care may lead to a lower likelihood of incidental detection in socioeconomically disadvantaged counties. We sought to determine if socioeconomic indicators predict the size and stage of renal cancers at presentation. METHODS: The National Cancer Institute’s Survival, Epidemiology, and End-Results (SEER) registry was queried for patients diagnosed with renal cancers between 2001 and 2010. Presentation, survival, and county-level socioeconomic data for these patients were obtained. Cancers with stage T0 or with histologic codes inconsistent with renal cell carcinoma were excluded. A socioeconomic index (SEI) was created based on median income, percentage of the population in poverty, and percentage of high school graduates. Outcome measures were tumor size and T stage on presentation, positive N or M stage at diagnosis, and overall survival. Linear, multinomial, and binary logistic regression analyses were used to assess the impact of a patient’s SEI score on these outcomes while controlling for age, gender, race, and tumor grade. RESULTS: 89,632 cases of renal cancer were identified. In regression modeling, lower SEI was a significant predictor of: larger tumor size (p