Association of area deprivation index (ADI) with demographics and postoperative outcomes in pediatric brain tumor patients

Purpose Although social determinants of health (SDOH) have been associated with adverse surgical outcomes, cumulative effects of multiple SDOH have never been studied. The area deprivation index (ADI) assesses cumulative impact of SDOH factors on outcomes. We analyzed the relationship between ADI percentile and postoperative outcomes in pediatric patients diagnosed with brain tumors. Methods A retrospective, observational study was conducted on our consecutive series of pediatric brain tumor patients presenting between January 1, 1999, and May 31, 2022. Demographics and outcomes were collected, identifying SDOH factors influencing outcomes found in the literature. ADI percentiles were identified based on patient addresses, and patients were stratified into more (ADI 0–72%) and less (ADI 73–100%) disadvantaged cohorts. Univariate and multivariate logistic regression analyses were completed for demographics and outcomes. Results A total of 272 patients were included. Demographics occurring frequently in the more disadvantaged group were Black race (13.1% vs. 2.8%; P = .003), public insurance (51.5% vs. 27.5%; P < .001), lower median household income ($64,689 ± $19,254 vs. $46,976 ± $13,751; P < .001), and higher WHO grade lesions (15[11.5%] grade III and 8[6.2%] grade IV vs. 8[5.6%] grade III and 5[3.5%] grade IV; P = .11). The more disadvantaged group required adjunctive chemotherapy (25.4% vs. 12.05%; P = .007) or radiation therapy (23.9% vs. 12.7%; P = .03) more frequently and had significantly greater odds of needing adjunctive chemotherapy (odds ratio [OR], 1.11; confidence interval [CI], 1.01–1.22; P = .03) in a multivariate model, which also identified higher WHO tumor grades at presentation (OR, 1.20; CI, 1.14–1.27; P < .001). Conclusion These findings are promising for use of ADI to represent potential SDOH disadvantages that pediatric patients may face throughout treatment. Future studies should pursue large multicenter collaborations to validate these findings.