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.

Social Determinants of Health and Associations With Outcomes in Pediatric Patients With Brain Tumors.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) are nonmedical factors that affect health outcomes. Limited investigation has been completed on the potential association of these factors to adverse outcomes in pediatric populations. In this study, the authors aimed to analyze the effects of SDOH disparities and their relationship with outcomes after brain tumor resection or biopsy in children. METHODS: The authors retrospectively reviewed the records of their center's pediatric patients with brain tumor. Black race, public insurance, median household income, and distance to hospital were the investigated SDOH factors. Univariate analysis was completed between number of SDOH factors and patient demographics. Multivariate linear regression models were created to identify coassociated determinants and outcomes. RESULTS: A total of 272 patients were identified and included in the final analysis. Among these patients, 81 (29.8%) had no SDOH disparities, 103 (37.9%) had 1, 71 (26.1%) had 2, and 17 (6.2%) had 3. An increased number of SDOH disparities was associated with increased percentage of missed appointments ( P = .002) and emergency room visits ( P = .004). Univariate analysis demonstrated increased missed appointments ( P = .01), number of postoperative imaging ( P = .005), and number of emergency room visits ( P = .003). In multivariate analysis, decreased median household income was independently associated with increased length of hospital stay ( P = .02). CONCLUSION: The SDOH disparities are prevalent and impactful in this vulnerable population. This study demonstrates the need for a shift in research focus toward identifying the full extent of the impact of these factors on postoperative outcomes in pediatric patients with brain tumor.

Mechanical Thrombectomy Versus Best Medical Management for Acute Ischemic Stroke in Elderly Patients: A Cost-Effectiveness Analysis.

OBJECTIVE: To determine the cost-effectiveness of mechanical thrombectomy (MT) versus best medical management (BMM) in patients aged ≥80 years. METHODS: We performed a systematic literature review to identify comparative studies of MT versus BMM with or without intravenous tissue-type plasminogen activator (IV tPA) in patients ≥80 years. Clinical data including outcomes and mortality categorized as modified Rankin scale scores 0-2, 3-5, and 6, were collected from identified studies, and effectiveness scores were assigned to each outcome. Costs associated with stroke outcomes were derived from previous literature, including costs associated with initial and follow-up imaging, hospitalization, physicians/associated personnel, and MT. TreeAge Pro software was used to construct a cost-effectiveness analysis model of clinical data from studies and costs derived from the literature. RESULTS: The review identified 1 relevant comparative study. The cost model demonstrated total annual cumulative overall per-patient costs of $30,064.21 for BMM with IV tPA and $21,940.36 for BMM without IV tPA. Overall effectiveness scores were 0.61 and 0.62, respectively. MT had a cumulative total annual per-patient cost of $47,849.54 and an overall effectiveness score of 0.40. The cost-effectiveness ratios of total cumulative patient cost to overall outcome effectiveness score for the 3 treatments were as follows: BMM with IV tPA = $49,285.59, BMM without IV tPA = $35,387.58, and MT = $119,623.85. BMM with or without IV tPA was found to be more cost-effective than MT. CONCLUSIONS: This study utilized stroke outcomes data for patients aged ≥80 years to conduct a cost-effectiveness analysis. MT was found to be less cost-effective than BMM with and without IV tPA.