Intracranial Meningioma Surgery: Value-Based Care Determinants in New York State, 1995-2015

High-Volume Centers Provide Superior Value of Care in the Surgical Treatment of Malignant Brain Tumor

BACKGROUND

Improved outcomes in surgical patients have been associated with increasing volume of cases. This has led to the development of centers that facilitate care for a specific patient population. This study aimed to evaluate associations of outcomes with hospital characteristics in patients undergoing resection of malignant brain tumors.

METHODS

The 2016-2020 National Inpatient Sample was queried for patients undergoing resection of malignant brain tumors. Teaching hospitals with caseloads >2 standard deviations above the mean (140 cases) were categorized as high-volume centers (HVCs). Value of care was evaluated by adding one point for each of the following: short length of stay, low total charges, favorable discharge disposition, and lack of major comorbidity or complication.

RESULTS

In 3009 hospitals, 118,390 patients underwent resection of malignant brain tumors. HVC criteria were met by 91 (3%) hospitals. HVCs were more likely to treat patients of younger age or higher socioeconomic status (P < 0.01 for all). The Mid-Atlantic and South Atlantic regions had the highest percentage of cases and number of HVCs. Value of care was higher at HVCs (P < 0.01). Care at HVCs was associated with decreased complications (P < 0.01 for all) and improved patient outcomes (P < 0.01 for all).

CONCLUSIONS

Patients undergoing craniotomy for malignant brain neoplasms have superior outcomes in HVCs. Trends of centralization may reflect the benefits of multidisciplinary treatment, geographic preferences, publicity, and cultural impact. Improvement of access to care is an important consideration as this trend continues.

Prognostic Factors Affecting Postsurgical Outcomes of Adult Patients with Intracranial Meningioma: A Retrospective Study

OBJECTIVE

To identify the prognostic factors of surgical resection for meningioma and their relationship with patient outcomes.

METHODS

This retrospective study included 53 patients (≥16 years), who underwent surgical resection for intracranial meningioma at the King Abdulaziz University Hospital from 2012 to 2022. Data regarding tumor location and size, histopathological type, chief complaint, chief complaint duration, admission date, diagnosis, operation, and discharge date were collected. These data were subjected to univariate and bivariate analyses to investigate the relationship between the postsurgical outcomes of the patients with meningioma and the variables of age at surgery, sex, length of hospitalization, chief complaint, Glasgow outcome score, World Health Organization histopathological classification, body mass index, tumor size, and nature of surgical resection.

RESULTS

The mean age of our study cohort was 49.09 ± 12.64 years, with a female preponderance (75.5%) and mean body mass index of 29.31 ± 5.52 kg/m2. length of hospitalization (mean: 26.92 ± 54.88 days) demonstrated a significant (P = 0.012) impact on prognosis after surgery. In addition, convexity meningiomas (21.2%), which were observed in the maximum number of cases, and mean tumor volume (28.67 ± 48.85 mm) were significantly (P = 0.049) associated with the outcome. Most patients (78.8%) underwent total surgical resection, and histopathological examinations revealed a higher frequency of grade 1 than grade 2 tumors.

CONCLUSIONS

Short duration of hospitalization and superficial location of the tumor are associated with optimal outcomes after surgical resection for patients with meningioma.

Associations of race and socioeconomic status with outcomes after intracranial meningioma resection: a systematic review and meta-analysis

PURPOSE

Social determinants of health broadly affect healthcare access and outcomes. Studies report that minorities and low socioeconomic status (SES) patients undergoing intracranial meningioma resection demonstrate worse outcomes and higher mortality rates. This systematic review and meta-analysis summarizes the available research reporting racial and SES disparities in intracranial meningioma resection outcomes.

METHODS

A systematic review was conducted using PRISMA guidelines and included peer-reviewed, English-language articles from the United States between 2000 and 2022 that reported racial and SES disparities in meningioma outcomes. Outcomes included overall survival (OS), extent of resection (EOR), hospitalization costs, length of stay (LOS), 30-day readmission, recurrence, and receipt of surgery and adjuvant radiotherapy. A quantitative meta-analysis was performed only on survival outcomes by race. All other variables were summarized as a systematic review.

RESULTS

633 articles were identified; 19 studies met inclusion criteria. Black or low SES patients were more likely to have increased hospitalization costs, rates of 30-day readmission, LOS, recurrence and less likely to undergo surgery, gross total resection, and adjuvant radiotherapy for their tumors. Six studies were used for the quantitative meta-analysis of race and OS. Compared to White patients, Black patients had significantly worse survival outcomes, and Asian patients had significantly better survival outcomes.

CONCLUSION

Disparities in outcomes exist for patients who undergo surgery for meningioma, such that Black and low SES patients have worse outcomes. The literature is quite sparse and contains confounding relationships not often accounted for appropriately. Further studies are needed to help understand these disparities to improve outcomes.

Can Currently Suggested Quality Indicators Be Transferred to Meningioma Surgery?-A Single-Center Pilot Study

BACKGROUND

 Risk stratification based on standardized quality measures has become crucial in neurosurgery. Contemporary quality indicators have often been developed for a wide range of neurosurgical procedures collectively. The accuracy of tumor-inherent characteristics of patients diagnosed with meningioma remains questionable. The objective of this study was the analysis of currently applied quality indicators in meningioma surgery and the identification of potential new measures.

METHODS

 Data of 133 patients who were operated on due to intracranial meningiomas were subjected to a retrospective analysis. The primary outcomes of interest were classical quality indicators such as the 30-day readmission, 30-day reoperation, 30-day mortality, 30-day nosocomial infection, and the 30-day surgical site infection rate. Uni- and multivariate analyses were performed. The occurrence of a new postoperative neurologic deficit was analyzed as a potential new quality indicator.

RESULTS

 The overall unplanned readmission rate was 3.8%; 13 patients were reoperated within 30 days (9.8%). The 30-day nosocomial infection and surgical site infection rates were 6.8 and 1.5%, respectively. A postoperative new neurologic deficit or neurologic deterioration as a currently assessed quality feature was observed in 12 patients (9.2%). The edema volume on preoperative scans proved to have a significant impact on the occurrence of a new postoperative neurologic deficit (p = 0.023).

CONCLUSIONS

 Classical quality indicators in neurosurgery have proved to correlate with considerable deterioration of the patient's health in meningioma surgery and thus should be taken into consideration for application in meningioma patients. The occurrence of a new postoperative neurologic deficit is common and procedure specific. Thus, this should be elucidated for application as a complementary quality indicator in meningioma surgery.

Machine Learning Models for Predicting Postoperative Outcomes following Skull Base Meningioma Surgery

Objective  While predictive analytic techniques have been used to analyze meningioma postoperative outcomes, to our knowledge, there have been no studies that have investigated the utility of machine learning (ML) models in prognosticating outcomes among skull base meningioma patients. The present study aimed to develop models for predicting postoperative outcomes among skull base meningioma patients, specifically prolonged hospital length of stay (LOS), nonroutine discharge disposition, and high hospital charges. We also validated the predictive performance of our models on out-of-sample testing data. Methods  Patients who underwent skull base meningioma surgery between 2016 and 2019 at an academic institution were included in our study. Prolonged hospital LOS and high hospital charges were defined as >4 days and >$47,887, respectively. Elastic net logistic regression algorithms were trained to predict postoperative outcomes using 70% of available data, and their predictive performance was evaluated on the remaining 30%. Results  A total of 265 patients were included in our final analysis. Our cohort was majority female (77.7%) and Caucasian (63.4%). Elastic net logistic regression algorithms predicting prolonged LOS, nonroutine discharge, and high hospital charges achieved areas under the receiver operating characteristic curve of 0.798, 0.752, and 0.592, respectively. Further, all models were adequately calibrated as determined by the Spiegelhalter Z -test ( p >0.05). Conclusion  Our study developed models predicting prolonged hospital LOS, nonroutine discharge disposition, and high hospital charges among skull base meningioma patients. Our models highlight the utility of ML as a tool to aid skull base surgeons in providing high-value health care and optimizing clinical workflows.

Substance Use Disorders Are Independently Associated with Hospital Readmission Among Patients with Brain Tumors

BACKGROUND

Research on the effects of substance use disorders (SUDs) on postoperative outcomes within neurosurgical oncology has been limited. Therefore, the present study sought to quantify the effect of having a SUD on hospital length of stay, postoperative complication incidence, discharge disposition, hospital charges, 90-day readmission rates, and 90-day mortality rates following brain tumor surgery.

METHODS

The present study used data from patients who received surgical resection for brain tumor at a single institution between January 1, 2017, and December 31, 2019. The Mann-Whitney U test was used for bivariate analysis of continuous variables and Fisher exact test was used for bivariate analysis of categorical variables. Multivariate analysis was conducted using logistic regression models.

RESULTS

Our study cohort included a total of 2519 patients, 124 (4.9%) of whom had at least 1 SUD. More specifically, 90 (3.6%) patients had an alcohol use disorder, 27 (1.1%) had a cannabis use disorder, and 12 (0.5%) had an opioid use disorder. On bivariate analysis, 90-day hospital readmission was the only postoperative outcome significantly associated with a SUD (odds ratio 2.21, P = 0.0011). When controlling for patient age, sex, race, marital status, insurance, brain tumor diagnosis, 5-factor modified frailty index score, American Society of Anesthesiologists score, and surgery number, SUDs remained significantly and independently associated with 90-day readmission (odds ratio 1.82, P = 0.013).

CONCLUSIONS

In patients with brain tumor, SUDs significantly and independently predict 90-day hospital readmission after surgery. Targeted management of patients with SUDs before and after surgery can optimize patient outcomes and improve the provision of high-value neurosurgical care.

Critical appraisal of minimally invasive keyhole surgery for intracranial meningioma in a large case series

Background

Meningioma surgery has evolved over the last 20 years with increased use of minimally invasive approaches including the endoscopic endonasal route and endoscope-assisted and gravity-assisted transcranial approaches. As the “keyhole” concept remains controversial, we present detailed outcomes in a cohort series.

Methods

Retrospective analysis was done for all patients undergoing meningioma removal at a tertiary brain tumor referral center from 2008–2021. Keyhole approaches were defined as: use of a minimally invasive “retractorless” approach for a given meningioma in which a traditional larger approach is often used instead. The surgical goal was maximal safe removal including conservative (subtotal) removal for some invasive locations. Primary outcomes were resection rates, complications, length of stay and Karnofsky Performance Scale (KPS). Secondary outcomes were endoscopy use, perioperative treatments, tumor control and acute MRI FLAIR/T2 changes to assess for brain manipulation and retraction injury.

Results

Of 329 patients, keyhole approaches were utilized in 193(59%) patients (mean age 59±13; 30 (15.5%) had prior surgery) who underwent 213 operations; 205(96%) were skull base location. Approaches included: endoscopic endonasal (n = 74,35%), supraorbital (n = 73,34%), retromastoid (n = 38,18%), mini-pterional (n = 20,9%), suboccipital (n = 4,2%), and contralateral transfalcine (n = 4,2%). Primary outcomes: Gross total/near total (>90%) resection was achieved in 125(59%) (5% for petroclival, cavernous sinus/Meckel’s cave, spheno-cavernous locations vs 77% for all other locations). Major complications included: permanent neurological worsening 12(6%), CSF leak 2(1%) meningitis 2(1%). There were no DVTs, PEs, MIs or 30-day mortality. Median LOS decreased from 3 to 2 days in the last 2 years; 94% were discharged to home with favorable 90-day KPS in 176(96%) patients. Secondary outcomes: Increased FLAIR/T2 changes were noted on POD#1/2 MRI in 36/213(17%) cases, resolving in all but 11 (5.2%). Endoscopy was used in 87/139(63%) craniotomies, facilitating additional tumor removal in 55%. Tumor progression occurred in 26(13%) patients, mean follow-up 42±36 months.

Conclusions & relevance

Our experience suggests minimally invasive keyhole transcranial and endoscopic endonasal meningioma removal is associated with comparable resection rates and low complication rates, short hospitalizations and high 90-day performance scores in comparison to prior reports using traditional skull base approaches. Subtotal removal may be appropriate for invasive/adherent meningiomas to avoid neurological deficits and other post-operative complications, although longer follow-up is needed. With careful patient selection and requisite experience, these approaches may be considered reasonable alternatives to traditional transcranial approaches.

Predicting High-Value Care Outcomes After Surgery for Non-Skull Base Meningiomas

OBJECTIVE

A need exists to better understand the prognostic factors that influence high-value care outcomes after meningioma surgery. The goal of the present study was to develop predictive models to determine the patients at risk of experiencing an extended hospital length of stay (LOS), nonroutine discharge disposition, and/or a 90-day hospital readmission after non-skull base meningioma resection.

METHODS

In the present study, we analyzed the data from 396 patients who had undergone surgical resection of non-skull base meningiomas at a single institution between January 1, 2005 and December 31, 2020. The Mann-Whitney U test was used for bivariate analysis of the continuous variables and the Fisher exact test for bivariate analysis of the categorical variables. A multivariate analysis was conducted using logistic regression models.

RESULTS

Most patients had had a falcine or parasagittal meningioma (66.2%), with the remainder having convexity (31.8%) or intraventricular (2.0%) tumors. Nonelective surgery (P < 0.0001) and an increased tumor volume (P = 0.0022) were significantly associated with a LOS >4 days on multivariate analysis. The independent predictors of a nonroutine discharge disposition included male sex (P = 0.0090), nonmarried status (P = 0.024), nonelective surgery (P = 0.0067), tumor location within the parasagittal or intraventricular region (P = 0.0084), and an increased modified frailty index score (P = 0.039). Hospital readmission within 90 days was independently associated with nonprivate insurance (P = 0.010) and nonmarried status (P = 0.0081). Three models predicting for a prolonged LOS, nonroutine discharge disposition, and 90-day readmission were implemented in the form of an open-access, online calculator (available at: https://neurooncsurgery3.shinyapps.io/non_skull_base_meningiomas/).

CONCLUSIONS

After external validation, our open-access, online calculator could be useful for assessing the likelihood of adverse postoperative outcomes for patients undergoing surgery of non-skull base meningioma.

Predicting High-Value Care Outcomes After Surgery for Skull Base Meningiomas

BACKGROUND

Although various predictors of adverse postoperative outcomes among patients with meningioma have been established, research has yet to develop a method for consolidating these findings to allow for predictions of adverse health care outcomes for patients diagnosed with skull base meningiomas. The objective of the present study was to develop 3 predictive algorithms that can be used to estimate an individual patient's probability of extended length of stay (LOS) in hospital, experiencing a nonroutine discharge disposition, or incurring high hospital charges after surgical resection of a skull base meningioma.

METHODS

The present study used data from patients who underwent surgical resection for skull base meningiomas at a single academic institution between 2017 and 2019. Multivariate logistic regression analysis was used to predict extended LOS, nonroutine discharge, and high hospital charges, and 2000 bootstrapped samples were used to calculate an optimism-corrected C-statistic. The Hosmer-Lemeshow test was used to assess model calibration, and P < 0.05 was considered statistically significant.

RESULTS

A total of 245 patients were included in our analysis. Our cohort was mostly female (77.6%) and white (62.4%). Our models predicting extended LOS, nonroutine discharge, and high hospital charges had optimism-corrected C-statistics of 0.768, 0.784, and 0.783, respectively. All models showed adequate calibration (P>0.05), and were deployed via an open-access, online calculator: https://neurooncsurgery3.shinyapps.io/high_value_skull_base_calc/.

CONCLUSIONS

After external validation, our predictive models have the potential to aid clinicians in providing patients with individualized risk estimation for health care outcomes after meningioma surgery.

Predictors of readmission after craniotomy for meningioma resection: a nationwide readmission database analysis

BACKGROUND

Meningiomas are the most common benign primary brain tumors. The mainstay of treatment, surgical resection, is often curative. Given the excellent prognosis of these lesions, minimizing perioperative complications is of the utmost importance. With the establishment of the National Readmissions Database (NRD), researchers are now able to identify variables associated with postoperative complications beyond the index admission.

OBJECTIVE

In this study, we sought to identify the leading causes for non-elective readmission and variables associated with increased likelihood of readmission at 30 and 90 days after discharge following a craniotomy for meningioma resection.

METHODS

Adult inpatients who underwent craniotomy for meningioma resection between 2010 and 2014 were queried from the NRD. All-cause readmissions following craniotomy at 30 and 90 days were identified, and a multivariable logistic regression model was used to characterize independent risk factors.

RESULTS

Among 26,034 patients who received craniotomy for meningioma resection, 2825 (10.9%) were readmitted at 30 days and 3436 (16.1%) were readmitted at 90 days. Postoperative wound infection was the most common readmission diagnosis, occurring in 9.32% and 10.2% of 30- and 90-day readmissions respectively. Patient factors associated with increased likelihood of readmission included male gender, greater illness severity, non-routine discharge, index length of hospitalization, and having Medicare or Medicaid insurance.

CONCLUSIONS

Readmission following craniotomy for meningioma resection occurs at a clinically significant rate. Several patient factors were identified in association with all-cause 30- and 90-day readmissions. Further studies are required to identify means for preventing complications following discharge in these vulnerable patient populations.

Inequalities in Meningioma Survival: Results from the National Cancer Database

Background

Meningiomas are the second most common primary tumors of the central nervous system. However, there is a paucity of literature examining how healthcare, demographic, and socioeconomic factors impact patient outcomes.

Methods

We conducted a retrospective study of 65,812 patients from the National Cancer Database (NCDB; 2004-2012) who received treatment for their meningioma. Univariate and multivariate analyses were performed with the overall five-year survival as the primary outcome, and the following factors: facility type, geography, housing area, patient insurance, sex, ethnicity, race, income, and education. The multivariate model was adjusted for patient age, co-morbidity, tumor size, behavior, and treatment strategy.

Results

Diagnosis and treatment at an academic/research program, private insurance, female sex, Hispanic ethnicity, and high school diploma conferred a survival advantage on both univariate and multivariate analyses.

Conclusions

Disparities in survival outcomes in patients with meningiomas exist across multiple healthcare, demographic, and socioeconomic factors. Additional research is needed to elucidate the genetic and environmental factors driving these inequalities.