Quality of life in chordoma survivors: results from the Chordoma Foundation Survivorship Survey.

OBJECTIVE: Chordomas are rare malignant bone tumors whose location in the skull base or spine, invasive surgical treatment, and accompanying adjuvant radiotherapy may all lead patients to experience poor quality of life (QOL). Limited research has been conducted on specific demographic and clinical factors associated with decreased QOL in chordoma survivors. Thus, the aim of the present study was to investigate several potential variables and their impact on specific QOL domains in these patients as well the frequencies of specific QOL challenges within these domains. METHODS: The Chordoma Foundation (CF) Survivorship Survey was electronically distributed to chordoma survivors subscribed to the CF Chordoma Connections forum. Survey questions assessed QOL in three domains: physical, emotional/cognitive, and social. The degree of impairment was assessed by grouping the participants into high- and low-challenge groups designated by having ≥ 5 or < 5 symptoms or challenges within a given QOL domain. Bivariate analysis of demographic and clinical characteristics between these groups was conducted using Fisher's exact test and the Mann-Whitney U-test. RESULTS: A total of 665 chordoma survivors at least partially completed the survey. On bivariate analysis, female sex was significantly associated with increased odds of significant emotional (p = 0.001) and social (p = 0.019) QOL burden. Younger survivors (age < 65 years) were significantly more likely to experience significant physical (p < 0.0001), emotional (p < 0.0001), and social (p < 0.0001) QOL burden. Skull base chordoma survivors had significantly higher emotional/cognitive QOL burden than spinal chordoma survivors (p = 0.022), while the converse was true for social QOL challenges (p = 0.0048). Survivors currently in treatment were significantly more likely to experience significant physical QOL challenges compared with survivors who completed their treatment > 10 years ago (p = 0.0074). Fear of cancer recurrence (FCR) was the most commonly reported emotional/cognitive QOL challenge (49.6%). Only 41% of the participants reported having their needs met for their physical QOL challenges as well as 25% for emotional/cognitive and 18% for social. CONCLUSIONS: The authors' findings suggest that younger survivors, female survivors, and survivors currently undergoing treatment for chordoma are at high risk for adverse QOL outcomes. Additionally, although nearly half of the participants reported a FCR, very few reported having adequate emotional/cognitive care. These findings may be useful in identifying specific groups of chordoma survivors vulnerable to QOL challenges and bring to light the need to expand care to meet the QOL needs for these patients.

The role of anticoagulation for superior sagittal sinus thrombosis following craniotomy for resection of parasagittal/parafalcine meningiomas.

OBJECTIVE: The safety and efficacy of anticoagulation in managing superior sagittal sinus (SSS) thrombosis remains unclear. The present study investigated the relationship between anticoagulation and cerebrovascular complications in parasagittal/parafalcine meningioma patients presenting with post-surgical SSS thrombosis. METHODS: We analyzed 266 patients treated at a single institution between 2005 and 2020. Bivariate analysis was conducted using the Mann-Whitney U test and Fisher's exact test. Multivariate analysis was conducted using a logistic regression model. Blood thinning medications investigated included aspirin, warfarin, heparin, apixaban, rivaroxaban, and other novel oral anticoagulants (NOACs). A symptomatic SSS thrombosis was defined as a radiographically apparent thrombosis with new headaches, seizures, altered sensorium, or neurological deficits. RESULTS: Our patient cohort was majority female (67.3%) with a mean age ([Formula: see text] SD) of 58.82 [Formula: see text] 13.04 years. A total of 15 (5.6%) patients developed postoperative SSS thrombosis and 5 (1.9%) were symptomatic; 2 (0.8%) symptomatic patients received anticoagulation. None of these 15 patients developed cerebrovascular complications following observation or anticoagulative treatment of asymptomatic SSS thrombosis. While incidence of any other postoperative complications was significantly associated with SSS thrombosis in bivariate analysis (p = 0.015), this association was no longer observed in multivariate analysis (OR = 2.15, p = 0.16) when controlling for patient age, sex, and anatomical location of the tumor along the SSS. CONCLUSIONS: Our single-institution study examining the incidence of SSS thrombosis and associated risk factors highlights the need for further research efforts better prognosticate this adverse outcome. Conservative management may represent a viable treatment strategy for patients with SSS thrombosis.

Clinical predictors of survival for patients with atypical teratoid/rhabdoid tumors.

PURPOSE: Atypical teratoid/rhabdoid tumors (AT/RTs) are malignant central nervous system (CNS) neoplasms of the young. Our study analyzed a large AT/RT cohort from the National Cancer Database (NCDB) to elucidate predictors of short-term mortality and overall survival (OS). METHODS: Information was collected on patients with histologically confirmed AT/RT using the NCDB (2004-2016). Kaplan-Meier analysis indicated OS. Prognostic factors for 30-day mortality, 90-day mortality, and OS were determined via multivariate Cox proportional hazards (CPH) and logistic regression models. RESULTS: Our cohort of 189 patients had a median age of 1 year (IQR [1, 4]) and tumor size of 4.7 ± 2.0 cm at diagnosis. Seventy-two percent were under 3 years old; 55.6% were male and 71.0% were Caucasian. Fifty (27.2%) patients received only surgery (S) (OS = 5.91 months), 51 (27.7%) received surgery and chemotherapy (S + CT) (OS = 11.2 months), and 9 (4.89%) received surgery and radiotherapy (S + RT) (OS = 10.3 months). Forty-five (24.5%) received S + CT + RT combination therapy (OS = 45.4 months), 13 (17.1%) received S + CT + BMT/SCT (bone marrow or stem cell transplant) (OS = 55.5 months), and 16 (8.70%) received S + CT + RT + BMT/SCT (OS = 68.4 months). Bivariate analysis of dichotomized age (HR = 0.550, 95% CI [0.357, 0.847], p = 0.0067) demonstrated significantly increased patient survival if diagnosed at or above 1 year old. On multivariate analysis, administration of S + CT + RT, S + CT + BMT/SCT, or S + CT + RT + BMT/SCT combination therapy predicted significantly (p < 0.05) increased OS compared to surgery alone. CONCLUSION: AT/RTs are CNS tumors where those diagnosed under 1 year old have a significantly worse prognosis. Our study demonstrates that while traditional CT, RT, and BMT/SCT combination regimens prolong life, overall survival in this population is still low.

Deployment of Clinical Prediction Models: A Practical Guide to Nomograms and Online Calculators.

The use of predictive models within neurosurgery is increasing and many models described in published journal articles are made available to readers in formats such as nomograms and online calculators. The present chapter details a step-by-step methodology with accompanying R code that may be used to implement models both in the form of traditional nomograms and as open-access, online calculators through RStudio's Shinyapps. The chapter assumes a basic understanding of predictive modeling in R and utilizes open-access files created by the Machine Intelligence in Clinical Neuroscience (MICN) Lab (Department of Neurosurgery and the Clinical Neuroscience Center of the University Hospital Zurich). When implemented correctly, tools such as nomograms and predictive calculators have the potential to improve user understanding of the underlying statistical models, facilitate broader adoption, and to streamline the eventual use of such models in clinical settings.

Overview of Algorithms for Natural Language Processing and Time Series Analyses.

A host of machine learning algorithms have been used to perform several different tasks in NLP and TSA. Prior to implementing these algorithms, some degree of data preprocessing is required. Deep learning approaches utilizing multilayer perceptrons, recurrent neural networks (RNNs), and convolutional neural networks (CNNs) represent commonly used techniques. In supervised learning applications, all these models map inputs into a predicted output and then model the discrepancy between predicted values and the real output according to a loss function. The parameters of the mapping function are then optimized through the process of gradient descent and backward propagation in order to minimize this loss. This is the main premise behind many supervised learning algorithms. As experience with these algorithms grows, increased applications in the fields of medicine and neuroscience are anticipated.

A Brief History of Machine Learning in Neurosurgery.

The history of machine learning in neurosurgery spans three decades and continues to develop at a rapid pace. The earliest applications of machine learning within neurosurgery were first published in the 1990s as researchers began developing artificial neural networks to analyze structured datasets and supervised tasks. By the turn of the millennium, machine learning had evolved beyond proof-of-concept; algorithms had success detecting tumors in unstructured clinical imaging, and unsupervised learning showed promise for tumor segmentation. Throughout the 2000s, the role of machine learning in neurosurgery was further refined. Well-trained models began to consistently best expert clinicians at brain tumor diagnosis. Additionally, the digitization of the healthcare industry provided ample data for analysis, both structured and unstructured. By the 2010s, the use of machine learning within neurosurgery had exploded. The rapid deployment of an exciting new toolset also led to the growing realization that it may offer marginal benefit at best over conventional logistical regression models for analyzing tabular datasets. Additionally, the widespread adoption of machine learning in neurosurgical clinical practice continues to lag until additional validation can ensure generalizability. Many exciting contemporary applications nonetheless continue to demonstrate the unprecedented potential of machine learning to revolutionize neurosurgery when applied to appropriate clinical challenges.

Predictors of Academic Career Trajectory Among Fellowship-Trained Neurosurgical Oncologists.

Much research has been conducted to investigate predictors of an academic career trajectory among neurosurgeons in general. This study seeks to examine a cohort of fellowship-trained neurosurgical oncologists to determine which factors are associated with a career in academia. Publicly available data on fellowship-trained neurosurgical oncologists was aggregated from ACGME-accredited residency websites, from program websites listed on the AANS Neurosurgical Fellowship Training Program Directory, and from professional websites including Doximity. Bivariate analyses were conducted to determine covariates for a logistic regression model, and a multivariate analysis was conducted to determine which variables were independently associated with an academic career trajectory. A total of 87 neurosurgical oncologists were identified (1991-2018). A total of 73 (83.9%) had > 1 year of protected research time in residency, 33 (37.9%) had an h-index of ≥2 prior to residency, and 63 (72.4%) had an h-index of ≥2 during residency. In multivariate analysis, the only factor independently associated with academic career trajectory among neurosurgical oncologists was achieving an h-index of ≥2 during residency (odds ratio [OR] = 2.93, p = .041). Memorial Sloan Kettering Cancer Center graduated the most neurosurgical oncologists in our cohort (n = 23). Our study establishes a novel factor that is predictive of academic career trajectory among fellowship-trained neurosurgical oncologists, specifically having an h-index of ≥2 during residency. Our results may be useful for those mentoring students and trainees with an interest in pursuing academia.

Single-suture craniosynostosis and the epigenome: current evidence and a review of epigenetic principles.

Craniosynostosis (CS) is a congenital disease that arises due to premature ossification of single or multiple sutures, which results in skull deformities. The surgical management of single-suture CS continues to evolve and is driven by a robust body of clinical research; however, the molecular underpinnings of CS remain poorly understood. Despite long-standing hypotheses regarding the interaction of genetic predisposition and environmental factors, formal investigation of the epigenetic underpinnings of CS has been limited. In an effort to catalyze further investigation into the epigenetic basis of CS, the authors review the fundamentals of epigenetics, discuss recent studies that shed light on this emerging field, and offer hypotheses regarding the role of epigenetic mechanisms in the development of single-suture CS.

A novel online calculator predicting short-term postoperative outcomes in patients with metastatic brain tumors.

PURPOSE: Establishing predictors of hospital length of stay (LOS), discharge deposition, and total hospital charges is essential to providing high-quality, value-based care. Though previous research has investigated these outcomes for patients with metastatic brain tumors, there are currently no tools that synthesize such research findings and allow for prediction of these outcomes on a patient-by-patient basis. The present study sought to develop a prediction calculator that uses patient demographic and clinical information to predict extended hospital length of stay, non-routine discharge disposition, and high total hospital charges for patients with metastatic brain tumors. METHODS: Patients undergoing surgery for metastatic brain tumors at a single academic institution were analyzed (2017-2019). Multivariate logistic regression was used to identify independent predictors of extended LOS (> 7 days), non-routine discharge, and high total hospital charges (> $ 46,082.63). p < 0.05 was considered statistically significant. C-statistics and the Hosmer-Lemeshow test were used to assess model discrimination and calibration, respectively. RESULTS: A total of 235 patients were included in our analysis, with a mean age of 62.74 years. The majority of patients were female (52.3%) and Caucasian (76.6%). Our models predicting extended LOS, non-routine discharge, and high hospital charges had optimism-corrected c-statistics > 0.7, and all three models demonstrated adequate calibration (p > 0.05). The final models are available as an online calculator ( https://neurooncsurgery.shinyapps.io/brain_mets_calculator/ ). CONCLUSIONS: Our models predicting postoperative outcomes allow for individualized risk-estimation for patients following surgery for metastatic brain tumors. Our results may be useful in helping clinicians to provide resource-conscious, high-value care.

Trends in endoscopic and microscopic transsphenoidal surgery: a survey of the international society of pituitary surgeons between 2010 and 2020.

PURPOSE: This comparative survey of surgical practice patterns between 2010 and 2020 aims to elicit trends in practice patterns for transsphenoidal surgery and to identify areas for improvement. METHODS: Web-based surveys were sent to the International Society of Pituitary Surgeons via a membership listserv in 2010 and 2020. These 33-item surveys collected information on demographics, surgical approach, perceived advantages and disadvantages, and recommendations for improvements. Statistical analyses were conducted using the Mann-Whitney U test for continuous variables and Fisher's exact test for categorical variables. RESULTS: There were 51 respondents in 2010 and 82 respondents in 2020. The majority were full-time academic surgeons from the United States or Europe. Preference for a purely endoscopic technique increased from 43% in 2010 to 87% in 2020. Preference for routinely working with an otolaryngologist or second neurosurgeon increased from 35 to 51%. Most surgeons (74%) reported that they were more likely to achieve a greater extent of resection with the endoscope, though 51% noted increased operating time. The most commonly rated advantage (34%) of endoscopic TSS was fewer postoperative nasoseptal perforations; the most commonly (34%) rated disadvantage was more postoperative complications, including cerebrospinal fluid leak. Respondents were divided on whether microscopic TSS should continue to be taught in residency. Many (32%) advocated for improved endoscopic instrumentation and team training. CONCLUSION: Endoscopic TSS is now the clearly preferred method for surgery amongst a cohort of higher-volume academic neurosurgeons. This trend is likely to continue, and this provides guidelines for future training.

The 5-factor modified frailty index predicts health burden following surgery for pituitary adenomas.

PURPOSE: Frailty is known to influence cost-related surgical outcomes in neurosurgery, but quantifying frailty is often challenging. Therefore, we investigated the predictive value of the 5-factor modified frailty index (mFI-5) on total hospital charges, LOS, and 90-day readmission for patients undergoing pituitary surgery. METHODS: The medical records of all patients undergoing endoscopic endonasal resection of pituitary adenomas at an academic medical center between January 2017 and December 2018 were retrospectively reviewed. Bivariate statistical analyses were conducted using Fisher's exact test, chi-square test, and independent samples t-test. Linear and logistic regression models were used for multivariate analysis. RESULTS: Our cohort (n = 234) had a mean age of 53.8 years (standard deviation 14.6 years). Sex distributions were equal, and most patients were Caucasian (59%). On multivariate linear regression, with each one-point increase in mFI-5, total LOS increased by 0.64 days in the overall cohort (p < 0.001), 1.08 days in the Cushing disease cohort (p = 0.045), and 0.59 days in non-functioning tumors cohort (p = 0.004). Total charges increased by $3954 in the whole cohort (p < 0.001), $10,652 in the Cushing disease cohort (p = 0.033), and $2902 in the non-functioning tumors cohort (p = 0.007) with each one-point increase in mFI-5. Greater mFI-5 scores were associated with greater odds of 90-day readmission in both overall and Cushing disease cohorts, but these associations did not reach statistical significance. CONCLUSION: A patient's mFI-5 score is significantly associated with increased length of stay and hospital charges for patients undergoing pituitary surgery. The mFI-5 may hold peri-operative value in patient counseling for pituitary adenoma surgery.

Decreasing Reimbursement of Pituitary Tumor Surgery: An Analysis of Medicare Data From 2010 to 2020.

BACKGROUND AND OBJECTIVES: Despite the extensive amount of research aimed at comparing patient outcomes between microscopic transsphenoidal surgery (MTSS) and endoscopic transsphenoidal surgery (ETSS) approaches, there has been relatively little recent investigation into the nationwide utilization and reimbursement trends of both techniques. This study aimed to identify trends in pituitary tumor surgery utilization, charges to Medicare, and reimbursement dependent on (1) MTSS/ETSS surgery type, (2) provider type (ie, neurosurgeon vs ear, nose, and throat), and (3) cosurgery status. METHODS: This study used publicly available data from the Medicare Physician/Supplier Procedure Summary for the years 2010-2020. Linear regression was used to quantify temporal trends for submitted service counts, submitted charges, reimbursements, and reimbursement-to-charge across the 2010-2020 period. RESULTS: Regarding service count trends from 2010 to 2020, our results demonstrate a significant increase in ETSS utilization ( = 1.55, CI = 0.99-2.12, P < .001), a significant decrease in MTSS utilization ( = -0.86, CI = -1.21 to -0.51, P < .001), a significant increase in services submitted by otolaryngologists ( = 0.59, CI = 0.24-0.93, P = .0040), and a significant increase in cosurgeries ( = 1.03, CI = 0.24-0.93, P = .0051). Importantly, our results also demonstrated a significant decrease in reimbursements for ETSS procedures ( = -12.74, CI = -22.38 to -3.09, P = .015) and for pituitary tumor surgeries submitted by neurosurgeons specifically ( = -41.56, CI = -51.67 to -31.63, P < .0001). CONCLUSION: Our results demonstrated a significant increase in ETSS utilization and a significant decrease in MTSS utilization. We also noted a significant decrease in reimbursements for ETSS procedures and among procedures submitted by neurosurgeons specifically. We hope that our study highlights nationwide utilization and reimbursement patterns that may be useful for guiding future reimbursement-oriented policy development.

The hospital frailty risk score independently predicts postoperative outcomes in meningioma patients.

OBJECTIVE: The Hospital Frailty Risk Score (HFRS) is a recently developed tool that uses ICD-10 codes to measure patient frailty. However, the effectiveness of HFRS has not yet been assessed in meningioma patients specifically. The present study aimed to evaluate the effectiveness of HFRS in predicting surgical outcomes for patients with meningiomas. METHODS: This retrospective study utilized data from patients undergoing meningioma resection at a single institution (2017-2019). Data were obtained through a combination of automated data retrieval and manual chart review. Bivariate logistic regression was used to assess the prognostic ability of several frailty indices for predicting postoperative outcomes. Further, discrimination for each model was assessed using the area under the receiver operating characteristic curve (AUROC). Generalized linear models with gamma error distributions and a log-link function were used to model hospital length of stay (LOS), total charges, complications, and disposition. RESULTS: A total of 464 meningioma patients (mean age 58.20 years, 72.8 % female, 66.4 % white) were included. HFRS had a significantly greater AUROC when compared to ASA (p = 0.0074) for postoperative complications, and HFRS significantly outperformed ASA (p = 0.0021) and mFI-5 (p = 0.018) when predicting nonroutine discharge. On multivariate analysis, increasing HFRS scores were significantly and independently associated with greater LOS (p < 0.0001), higher hospital charges (p < 0.0001), higher odds of postoperative complications (OR = 1.05, p = 0.019), and nonroutine discharge (OR = 1.12, p < 0.0001). The HFRS was non-inferior compared to the mFI-5, CCI, ASA and mFI-11 in terms of model discrimination. CONCLUSION: HFRS effectively predicts postoperative outcomes for meningiomas and outperforms other indices in predicting complications and nonroutine discharge. This novel index may be used to improve clinical decision-making and reduce adverse postoperative outcomes among meningioma patients.

The Hospital Frailty Risk Score Independently Predicts Postoperative Outcomes in Glioblastoma Patients.

OBJECTIVE: The Hospital Frailty Risk Score (HFRS) is a tool for quantifying patient frailty using International Classification of Diseases, Tenth Revision codes. This study aimed to determine the utility of the HFRS in predicting surgical outcomes after resection of glioblastoma (GBM) and compare its prognostic ability with other validated indices such as American Society of Anesthesiologists score and Charlson Comorbidity Index. METHODS: A retrospective analysis was conducted using a GBM patient database (2017-2019) at a single institution. HFRS was calculated using International Classification of Diseases, Tenth Revision codes. Bivariate logistic regression was used to model prognostic ability of each frailty index, and model discrimination was assessed using area under the receiver operating characteristic curve. Multivariate linear and logistic regression models were used to assess for significant associations between HFRS and continuous and binary postoperative outcomes, respectively. RESULTS: The study included 263 patients with GBM. The HFRS had a significantly greater area under the receiver operating characteristic curve compared with American Society of Anesthesiologists score (P = 0.016) and Charlson Comorbidity Index (P = 0.037) for predicting 30-day readmission. On multivariate analysis, the HFRS was significantly and independently associated with hospital length of stay (P = 0.0038), nonroutine discharge (P = 0.018), and 30-day readmission (P = 0.0051). CONCLUSIONS: The HFRS has utility in predicting postoperative outcomes for patients with GBM and more effectively predicts 30-day readmission than other frailty indices. The HFRS may be used as a tool for optimizing clinical decision making to reduce adverse postoperative outcomes in patients with GBM.

The Socioeconomic Distressed Communities Index Predicts 90-Day Mortality Among Intracranial Tumor Patients.

BACKGROUND: Socioeconomic status (SES) is a major determinant of quality of life and outcomes. However, SES remains difficult to measure comprehensively. Distress communities index (DCI), a composite of 7 socioeconomic factors, has been increasingly recognized for its correlation with poor outcomes. As a result, the objective of the present study is to determine the predictive value of the DCI on outcomes following intracranial tumor surgery. METHODS: A single institution, retrospective review was conducted to identify adult intracranial tumor patients undergoing resection (2016-2021). Patient ZIP codes were matched to DCI and stratified by DCI quartiles (low:0-24.9, low-intermediate:25-49.9, intermediate-high:50-74.9, high:75-100). Univariate followed by multivariate regressions assessed the effects of DCI on postoperative outcomes. Receiver operating curves were generated for significant outcomes. RESULTS: A total of 2389 patients were included: 1015 patients (42.5%) resided in low distress communities, 689 (28.8%) in low-intermediate distress communities, 445 (18.6%) in intermediate-high distress communities, and 240 (10.0%) in high distress communities. On multivariate analysis, risk of fracture (adjusted odds ratio = 1.60, 95% confidence interval 1.26-2.05, P < 0.001) and 90-day mortality (adjusted odds ratio = 1.58, 95% confidence interval 1.21-2.06, P < 0.001) increased with increasing DCI quartile. Good predictive accuracy was observed for both models, with receiver operating curves of 0.746 (95% CI 0.720-0.766) for fracture and 0.743 (95% CI 0.714-0.772) for 90-day mortality. CONCLUSIONS: Intracranial tumor patients from distressed communities are at increased risk for adverse events and death in the postoperative period. DCI may be a useful, holistic measure of SES that can help risk stratifying patients and should be considered when building healthcare pathways.

External Validation of Predictive Models for Failed Medical Management of Spinal Epidural Abscess.

OBJECTIVE: There is limited consensus regarding management of spinal epidural abscesses (SEAs), particularly in patients without neurologic deficits. Several models have been created to predict failure of medical management in patients with SEA. We evaluate the external validity of 5 predictive models in an independent cohort of patients with SEA. METHODS: One hundred seventy-six patients with SEA between 2010 and 2019 at our institution were identified, and variables relevant to each predictive model were collected. Published prediction models were used to assign probability of medical management failure to each patient. Predicted probabilities of medical failure and actual patient outcomes were used to create receiver operating characteristic (ROC) curves, with the area under the receiver operating characteristic curve used to quantify a model's discriminative ability. Calibration curves were plotted using predicted probabilities and actual outcomes. The Spiegelhalter z-test was used to determine adequate model calibration. RESULTS: One model (Kim et al) demonstrated good discriminative ability and adequate model calibration in our cohort (ROC = 0.831, P value = 0.83). Parameters included in the model were age >65, diabetes, methicillin-resistant Staphylococcus aureus infection, and neurologic impairment. Four additional models did not perform well for discrimination or calibration metrics (Patel et al, ROC = 0.580, P ≤ 0.0001; Shah et al, ROC = 0.653, P ≤ 0.0001; Baum et al, ROC = 0.498, P ≤ 0.0001; Page et al, ROC = 0.534, P ≤ 0.0001). CONCLUSIONS: Only 1 published predictive model demonstrated acceptable discrimination and calibration in our cohort, suggesting limited generalizability of the evaluated models. Multi-institutional data may facilitate the development of widely applicable models to predict medical management failure in patients with SEA.

High-Value Care Outcomes of Meningiomas.

High-value health care has become a widely researched topic within neurosurgery. The concept of "high-value" care involves optimizing resource expenditures relative to patient outcomes, and therefore, high-value care research within neurosurgery has involved identifying prognostic factors for outcomes such as hospital length of stay, discharge disposition, monetary charges/costs incurred during hospitalization, and hospital readmission. The following article will discuss the motivation of high-value health-care research for optimizing the surgical treatment of intracranial meningiomas, highlight recent research investigating high-value care outcomes in patients with intracranial meningioma, and explore future avenues for high-value care research in this patient population.

Clinical trial implementation: a primer for neurosurgeons.

In the current landscape of evidence-based medicine, prospective clinical trials are an important avenue through which to establish the efficacy and safety of biomedical treatments compared with standard-of-care interventions. Depending on their scope and aims, clinical trials can be extremely costly and time intensive, and significant coordination is needed to ensure optimal utilization of healthcare resources, adherence to the principles of biomedical ethics, and appropriate interpretation of study results. This review highlights the core principles for designing and implementing clinical trials within neurosurgery, with the aim to provide clinicians with a framework for implementing both investigator-initiated and industry-sponsored trials.

Neurosurgical Utilization, Charges, and Reimbursement After the Affordable Care Act: Trends From 2011 to 2019.

BACKGROUND: An estimated 50 million Americans receive Medicare health care coverage. Prior studies have established a downward trend in Medicare reimbursement for commonly billed surgical procedures, but it is unclear whether these trends hold true across all neurosurgical procedures. OBJECTIVE: To assess trends in utilization, charges, and reimbursement by Medicare for neurosurgical procedures after passage of the Affordable Care Act in 2010. METHODS: We review yearly Physician/Supplier Procedure Summary datasets from the Centers for Medicare and Medicaid Services for all procedures billed by neurosurgeons to Medicare Part B between 2011 and 2019. Procedural coding was categorized into cranial, spine, vascular, peripheral nerve, and radiosurgery cases. Weighted averages for charges and reimbursements adjusted for inflation were calculated. The ratio of the weighted mean reimbursement to weighted mean charge was calculated as the reimbursement-to-charge ratio, representing the proportion of charges reimbursed by Medicare. RESULTS: Overall enrollment-adjusted utilization decreased by 12.1%. Utilization decreased by 24.0% in the inpatient setting but increased by 639% at ambulatory surgery centers and 80.2% in the outpatient setting. Inflation-adjusted, weighted mean charges decreased by 4.0% while reimbursement decreased by 4.6%. Procedure groups that saw increases in reimbursement included cervical spine surgery, cranial functional and epilepsy procedures, cranial pain procedures, and endovascular procedures. Ambulatory surgery centers saw the greatest increase in charges and reimbursements. CONCLUSION: Although overall reimbursement declined across the study period, substantial differences emerged across procedural categories. We further find a notable shift in utilization and reimbursement for neurosurgical procedures done in non-inpatient care settings.