Abstract
6501 Background: Adolescent Young Adult (AYA) cancer patients, aged 15-39, have historically been understudied. For older adults, socioeconomic (SES) and racial/ethnic disparities in mortality have been demonstrated, but less is known about survival disparities for AYA patients. Most existing studies do not account for the influence of insurance status and access to care. To address this gap, we evaluated the association of SES and race/ethnicity with overall mortality for AYA cancer patients who were members of an integrated health delivery system with relatively equal access to care. Methods: Patients diagnosed with cancer at age 15-39 years old in Kaiser Permanente Southern California between 2010-2018 were included. The fourteen most common AYA cancer types within our cohort were included (excluding thyroid cancer due to low mortality rate). The Neighborhood Deprivation Index (NDI) was used as a marker of SES. Patients were placed into NDI quartiles (Q1: least deprived-Q4: most deprived). Mortality rate per 1,000 patient years was calculated for each racial/ethnic group and NDI quartile. Multivariable cox model was used to estimate hazard ratios (HRs) for all-cause mortality. Models included race/ethnicity and NDI subgroup simultaneously, adjusting for sex, age and stage at diagnosis, and cancer type. Results: A total of 6,380 patients (59% female, median age: 33) were followed for a maximum of ten years. Racial/ethnic distribution was 45% Hispanic, 36% non-Hispanic White, 10% non-Hispanic Asian/Pacific Islander, 7% non-Hispanic Black, 2% Other/Unknown. Overall mortality was 21.8 deaths per 1,000 person years. Crude mortality rates were higher among Non-White racial/ethnic groups (Asian/Pacific Islander: 26.7, Black: 26.2, Hispanic: 25.6, Other/Unknown: 30.3) compared to White patients (16.4). In the adjusted model, Hispanic (HR=1.32, 95% confidence interval [CI] 1.03-1.50, p=0.004) and Black (HR=1.35, 95% CI 1.00-1.83, p=0.05) patients experienced significantly higher risk of all-cause mortality compared to White patients. No mortality differences were observed between Asian/Pacific Islander and White patients. Patients from more deprived neighborhoods had higher mortality risk (Q1: 19.9, Q2: 19.8, Q3: 24.1, Q4: 27.4). In the adjusted model, there was no significant difference in all-cause mortality between Q1 and Q2-Q4 [Q2 (HR=0.88, 95% CI 0.71-1.10), Q3 (HR=0.94, 95% CI 0.75-1.17), Q4 (HR=0.96, 95% CI 0.76-1.22)]. Conclusions: Our study suggests that for insured AYA cancer patients with similar access to care, Hispanic and Black patients have increased risk of all-cause mortality as compared to White patients, while no significant SES survival disparities were observed. These findings warrant further investigation, awareness, and intervention to address inequities in cancer care among vulnerable populations.
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