Delays in diagnosis in young patients with leukemia and lymphoma.

Abstract

e18138 Background: Patients diagnosed with leukemia and lymphoma typically present with nonspecific symptoms, making a timely diagnosis difficult. Little is known about factors associated with delays in diagnosis. We hypothesized that age, minority race/ethnicity, and low income are associated with greater time to diagnosis. Methods: Using the OptumLabs Data Warehouse, which includes claims data for privately insured enrollees in a large US health plan, we identified 17,536 pediatric (0-14 y), adolescent (15-21 y), and young adult (22-39 y) patients diagnosed with acute leukemia or lymphoma between 2001-17. Using this retrospective cohort, potential cancer-related symptoms occurring up to 6 months pre-diagnosis were identified. Delay was defined as > 3 months from symptom onset to diagnosis. Contingency table analysis with chi-squared tests and unconditional logistic regression were used to estimate the association between sociodemographic factors and delays in diagnosis. Results: Seventy-eight percent of patients had a diagnosis of a cancer-related symptom in the 6 months prior to diagnosis. The most common presenting symptoms were lymphadenopathy, fever, and cytopenias. The median days to diagnosis was longer in young adults (93) than children (86) or adolescents (81) (p = < 0.0001). For pediatric v. AYA patients, median days to diagnosis differed for those with constitutional symptoms (18 v. 37, p = < 0.001), infectious symptoms (93 v. 74, p = < 0.001), and cytopenias (11 v. 22, p = < 0.001). Multivariable analysis identified younger age, female sex, and low household income to be significantly associated with delays in diagnosis (table below). Conclusions: In this large cohort of privately insured patients, adolescents had the shortest time to diagnosis. We saw no disparities by race/ethnicity or education but observed that low income ( < $40K) and female patients had greater odds of delays in diagnosis. [Table: see text]