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Background: Relationships between low socioeconomic status (SES) and surgical outcomes are well established for certain procedures. However, scant literature has focused on relationships between median household income and lumbar fusion outcomes., Methods: Patients who underwent fusion procedures between January 1, 2009 and December 31, 2020 were identified from the National Inpatient Sample (NIS) database. They were categorized into 4 quartiles, from lowest to highest, based on median household incomes in respective zip codes. We applied univariable and multivariable linear and logistic regression models to analyze perioperative data according to income quartiles., Results: We included 2,826,396 patients. In multivariable regression, patients in the 3 lowest income quartiles exhibited higher rates of in-hospital cardiac events perioperatively, with odds ratios (OR) of 1.19 (95% confidence interval[CI]1.13-1.26, p<0.001), 1.10 (95%CI 1.05-1.16, p<0.001), and 1.06 (95%CI 1.01-1.12, p=0.011) for the first, second, and third quartiles, respectively. Patients in the lowest income (first) quartile had a higher occurrence of perioperative urinary complications (OR=1.07, 95%CI 1.03-1.12, p=0.001), systemic infectious complications (OR=1.17, 95% CI 1.04-1.32, p=0.006), neurological deficit (OR=1.17, 95%CI 1.06-1.30, p=0.002), and wound infections (OR=1.22, 95%CI 1.12-1.34, p<0.001). Those in the 3 lowest income quartiles were less likely to experience respiratory, gastrointestinal, and venous thrombotic complications (p<0.05). The lowest income quartile had protective associations for dural tears (OR 0.93, 95%CI 0.89-0.99, p=0.038) and postprocedure anemia across all 3 lower quartiles, with OR<1 and p<0.001., Conclusion: Reduced household income significantly affected perioperative outcomes after lumbar fusion and should be taken into consideration during the perioperative period., (Copyright © 2024. Published by Elsevier Inc.)

Background and Objectives: In recent years, there has been an outpouring of scoring systems that were built to predict outcomes after various surgical procedures; however, research validating these studies in spinal surgery is quite limited. In this study, we evaluated the predictability of the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator (ACS NSQIP SRC) for various postoperative outcomes after spinal deformity surgery., Methods: A retrospective chart review was conducted to identify patients who underwent spinal deformity surgery at our hospital between January 1, 2014, and December 31, 2022. Demographic and clinical data necessary to use the ACS NSQIP SRC and postoperative outcomes were collected for these patients. Predictability was analyzed using the area under the curve (AUC) of receiver operating characteristic curves and Brier scores., Results: Among the 159 study patients, the mean age was 64.5 ± 9.5 years, mean body mass index was 31.9 ± 6.6, and 95 (59.7%) patients were women. The outcome most accurately predicted by the ACS NSQIP SRC was postoperative pneumonia (observed = 5.0% vs predicted = 3.2%, AUC = 0.75, Brier score = 0.05), but its predictability still fell below the acceptable threshold. Other outcomes that were underpredicted by the ACS NSQIP SRC were readmission within 30 days (observed = 13.8% vs predicted = 9.0%, AUC = 0.63, Brier score = 0.12), rate of discharge to nursing home or rehabilitation facilities (observed = 56.0% vs predicted = 46.6%, AUC = 0.59, Brier = 0.26), reoperation (observed 11.9% vs predicted 5.4%, AUC = 0.60, Brier = 0.11), surgical site infection (observed 9.4% vs predicted 3.5%, AUC = 0.61, Brier = 0.05), and any complication (observed 33.3% vs 19%, AUC = 0.65, Brier = 0.23). Predicted and observed length of stay were not significantly associated (β = 0.132, P = .47)., Conclusion: The ACS NSQIP SRC is a poor predictor of outcomes after spinal deformity surgery., (Copyright © Congress of Neurological Surgeons 2024. All rights reserved.)

Purpose: There is limited literature describing care coordination for patients with glioblastoma (GBM). We aimed to investigate the impact of primary care and electronic health information exchange (HIE) between neurosurgeons, oncologists, and primary care providers (PCP) on GBM treatment patterns, postoperative outcomes, and survival., Methods: We identified adult GBM patients undergoing primary resection at our institution (2007-2020). HIE was defined as shared electronic medical information between PCPs, oncologists, and neurosurgeons. Multivariate logistic regression analyses were used to determine the effect of PCPs and HIE upon initiation and completion of adjuvant therapy. Kaplan-Meier and multivariate Cox regression models were used to evaluate overall survival (OS)., Results: Among 374 patients (mean age ± SD: 57.7 ± 13.5, 39.0% female), 81.0% had a PCP and 62.4% had electronic HIE. In multivariate analyses, having a PCP was associated with initiation (OR: 7.9, P < 0.001) and completion (OR: 4.4, P < 0.001) of 6 weeks of concomitant chemoradiation, as well as initiation (OR: 4.0, P < 0.001) and completion (OR: 3.0, P = 0.007) of 6 cycles of maintenance temozolomide thereafter. Having a PCP (median OS [95%CI]: 14.6[13.1-16.1] vs. 10.8[8.2-13.3] months, P = 0.005) and HIE (15.40[12.82-17.98] vs. 13.80[12.51-15.09] months, P = 0.029) were associated with improved OS relative to counterparts in Kaplan-Meier analysis and in multivariate Cox regression analysis (hazard ratio [HR] = 0.7, [95% CI] 0.5-1.0, P = 0.048). In multivariate analyses, chemoradiation (HR = 0.34, [95% CI] 0.2-0.7, P = 0.002) and maintenance temozolomide (HR = 0.5, 95%CI 0.3-0.8, P = 0.002) were associated with improved OS relative to counterparts., Conclusion: Effective care coordination between neurosurgeons, oncologists, and PCPs may offer a modifiable avenue to improve GBM outcomes., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Patient-reported outcome measures (PROMs) are increasingly used to assess patients' perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear., Objective: To investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients., Methods: Adult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves. Bivariate analyses were used to study the distribution of low (z-score≤-1) versus high (z-score>-1) PH scores according to baseline characteristics. Logistic regression models quantified the association between preoperative PH summary scores and post-operative outcomes., Results: A total of 157 brain tumor patients were identified (mean age 55.4±15.4 years; 58.0% female; mean PH score 45.5+10.5). Outcomes included prolonged LOS (24.8%), non-routine discharge disposition (37.6%), and 30-day readmission (19.1%). On bivariate analysis, patients with low PH scores were significantly more likely to be diagnosed with a high-grade tumor (69.6% vs 38.85%, p=0.010) and less likely to have elective surgery (34.8% vs 70.9%, p=0.002). Low PH score was associated with prolonged LOS (26.1% vs 22%, p<0.001), nonroutine discharge (73.9% vs 31.3%, p<0.001) and 30-day readmission (43.5% vs 14.9%, p=0.003). In multivariate analysis, low PH scores predicted greater LOS (odds ratio [OR]=6.09, p=0.003), nonroutine discharge (OR=4.25, p=0.020), and 30-day readmission (OR=3.93, p=0.020)., Conclusion: The PROMIS-29 PH summary score predicts short-term postoperative outcomes in brain tumor patients and may be incorporated into prospective clinical workflows., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

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., (Copyright © Congress of Neurological Surgeons 2023. All rights reserved.)

Objective: Medulloblastoma is the most common malignant intracranial tumor affecting the pediatric population. Despite advancements in multimodal treatment over the past 2 decades yielding a 5-year survival rate > 75%, children who survive often have substantial neurological and cognitive sequelae. The authors aimed to identify risk factors and develop a clinically friendly online calculator for prognostic estimation in pediatric patients with medulloblastoma., Methods: Pediatric patients with a histopathologically confirmed medulloblastoma were extracted from the Surveillance, Epidemiology, and End Results database (2000-2018) and split into training and validation cohorts in an 80:20 ratio. The Cox proportional hazards model was used to identify the univariate and multivariate survival predictors. Subsequently, a calculator with those factors was developed to predict 2-, 5-, and 10-year overall survival as well as median survival months for pediatric patients with medulloblastoma. The performance of the calculator was determined by discrimination and calibration., Results: One thousand seven hundred fifty-nine pediatric patients with medulloblastoma met the prespecified inclusion criteria. Age, sex, race, ethnicity, median household income, county attribute, laterality, anatomical location, tumor grade, tumor size, surgery status, radiotherapy, and chemotherapy were variables included in the calculator (https://spine.shinyapps.io/Peds&#95;medullo/). The concordance index was 0.769 in the training cohort and 0.755 in the validation cohort, denoting clinically useful predictive accuracy. Good agreement between the predicted and observed outcomes was demonstrated by the calibration plots., Conclusions: An easy-to-use prognostic calculator for a large cohort of pediatric patients with medulloblastoma was established. Future efforts should focus on improving granularity of population-based registries and externally validating the proposed calculator.

Objective: There is a growing body of evidence demonstrating improved outcomes for patients with CNS neoplasms treated at academic centers (ACs) versus nonacademic centers (non-ACs), which represents a potential healthcare disparity within neurosurgery. In this paper, the authors sought to investigate the relationship between facility type and surgical outcomes in meningioma patients., Methods: The National Cancer Database was queried for adult patients diagnosed with intracranial meningioma between 2004 and 2019. Patients were stratified by facility type, and the Mann-Whitney U-test and Fisher exact test were used for bivariate comparisons of continuous and categorical variables, respectively. Multivariate logistic regression was used to assess whether demographic variables were associated with treatment at ACs. Furthermore, multivariate Cox proportional hazards models were used to determine whether facility type was associated with overall survival (OS) outcomes., Results: Data on 139,304 patients (74% male, 84% White) were retrieved. Patients were stratified by facility type, with 50,349 patients (36%) treated at ACs and 88,955 patients (64%) treated at non-ACs. Patients treated at ACs were more likely to have private insurance (41% vs 34%, p < 0.001) and less likely to have Medicare (46% vs 57%, p < 0.001). Patients treated at ACs were more likely to have larger tumors (36.91 mm vs 33.57 mm, p < 0.001) and more likely to undergo surgery (47% vs 34%, p < 0.001). Interestingly, patients treated at ACs had decreased comorbidities (Charlson Comorbidity Index rating 0: 74% vs 69%) and similar income levels (income ≥ $46,000: 44% vs 43%). With respect to survival outcomes, patients treated at ACs demonstrated a higher median OS at 10 years than patients treated at non-ACs (65.2% vs 54.1%). The association of improved OS in patients treated at ACs continued to be true when adjusting for all other clinical and demographic variables (HR 0.900, 95% CI 0.882-0.918; p < 0.001)., Conclusions: The results of this study indicate that facility type is associated with disparate survival outcomes in the treatment of intracranial meningiomas. Namely, patients treated at non-ACs appear to have a survival disadvantage even when controlling for additional comorbidities.