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.

Residual In-Stent Carotid Stenosis and Cigarette Smoking are Independent Predictors of Carotid Restenosis After Carotid Artery Stenting-Results from 738 Carotid Artery Stenting Procedures at a Single Center.

BACKGROUND AND OBJECTIVES: Carotid artery stenting (CAS) has become a viable alternative to carotid endarterectomy for the management of carotid stenosis. Our aim was to determine the rate of radiographic restenosis after CAS and clinical, radiographic, and procedural predictors of in-stent restenosis. METHODS: Our single-center, prospectively maintained database was retrospectively reviewed for CAS procedures performed in symptomatic and asymptomatic patients over 12 years (2010-2022). Baseline demographic data, procedural characteristics, and preprocedural and postprocedural radiographic and clinical details were noted. Baseline characteristics of patients with and without carotid restenosis were compared using the χ2 test for categorical variables and the Student t-test for continuous variables. Univariate and multivariate analyses were performed to determine risk factors associated with restenosis, defined as >70% on digital subtraction angiography. RESULTS: A total of 1017 consecutive CAS procedures were performed in 905 patients during the 12-year period, with 738 in 632 patients included in our study. Our cohort's overall restenosis rate was 17%, with a 14% restenosis rate at 2 years. On multivariate regression analysis, former or current smoking status (odds ratio [OR] = 2.3, 95% CI 1.2-4.1), plaque irregularity (OR 0.55, 95% CI 0.33-0.91), moderate (50.1%-75%) contralateral stenosis (OR 3.2, 95% CI 1.4-7.2), severe (75.1%-99.9%) contralateral stenosis (OR 2.8, 95% CI 1.3-6.0), and residual (>70%) in-stent stenosis after initial stenting (OR 433, 95% CI 80-2346) were significantly associated with carotid restenosis. Area under the curve for the multivariate regression model analysis was 0.78. Patients with <28.6% initial (residual) in-stent stenosis (45/517 cases) had a 9% restenosis rate, whereas those with >28.6% initial in-stent stenosis (77/221 cases) had a 35% restenosis rate. CONCLUSION: In this large, single-center study of carotid artery stenosis treated with CAS, residual in-stent carotid stenosis of approximately 30% and smoking status were independent predictors for restenosis. Maximizing treatment of initial stenosis and smoking cessation education are important steps in preventing future carotid restenosis.