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Parker M, Kazemi F, Ahmed AK, Kuo CC, Nair SK, Rincon-Torroella J, Jackson C, Gallia G, Bettegowda C, Weingart J, Brem H, Mukherjee D. Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients. J Neurooncol 2024; 168:345-353. [PMID: 38662150 DOI: 10.1007/s11060-024-04677-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 04/05/2024] [Indexed: 04/26/2024]
Abstract
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.
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Affiliation(s)
- Megan Parker
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Foad Kazemi
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - A Karim Ahmed
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Cathleen C Kuo
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Sumil K Nair
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Jordina Rincon-Torroella
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Christopher Jackson
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Gary Gallia
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Jon Weingart
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Henry Brem
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, 21287, Baltimore, MD, USA.
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Yu H, Liu M, Zhang X, Ma T, Yang J, Wu Y, Wang J, Li M, Wang J, Zeng M, Zhang L, Jin H, Liu X, Li S, Peng Y. The effect of tranexamic acid on intraoperative blood loss in patients undergoing brain meningioma resections: Study protocol for a randomized controlled trial. PLoS One 2023; 18:e0290725. [PMID: 37651373 PMCID: PMC10470952 DOI: 10.1371/journal.pone.0290725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/18/2023] [Indexed: 09/02/2023] Open
Abstract
INTRODUCTION Tranexamic acid (TXA) has been proven to prevent thrombolysis and reduce bleeding and blood transfusion requirements in various surgical settings. However, the optimal dose of TXA that effectively reduce intraoperative bleeding and blood product infusion in patients undergoing neurosurgical resection of meningioma with a diameter ≥ 5 cm remains unclear. METHODS This is a single-center, randomized, double-blinded, paralleled-group controlled trial. Patients scheduled to receive elective tumor resection with meningioma diameter ≥ 5 cm will be randomly assigned the high-dose TXA group, the low-dose group, and the placebo. Patients in the high-dose TXA group will be administered with a loading dose of 20 mg/kg TXA followed by continuous infusion TXA at a rate of 5 mg/kg/h. In the low-dose group, patients will receive the same loading dose of TXA followed by a continuous infusion of normal saline. In the control group, patients will receive an identical volume of normal saline. The primary outcome is the estimated intraoperative blood loss calculated using the following formula: collected blood volume in the suction canister (mL)-the volume of flushing (mL) + the volume from the gauze tampon (mL). Secondary outcomes include calculated intraoperative blood loss, intraoperative coagulation function assessed using thromboelastogram (TEG), intraoperative cell salvage use, blood product infusion, and other safety outcomes. DISCUSSION Preclinical studies suggest that TXA could reduce intraoperative blood loss, yet the optimal dose was controversial. This study is one of the early studies to evaluate the impact of intraoperative different doses infusion of TXA on reducing blood loss in neurological meningioma patients. TRIAL REGISTRATION ClinicalTrials.gov, NCT05230381. Registered on February 8, 2022.
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Affiliation(s)
- Haojie Yu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Minying Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingyue Zhang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tingting Ma
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingchao Yang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yaru Wu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jie Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Muhan Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Juan Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Min Zeng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liyong Zhang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hailong Jin
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoyuan Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shu Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuming Peng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Jimenez AE, Liu J, Cicalese KV, Jimenez MA, Porras JL, Azad TD, Jackson C, Gallia GL, Bettegowda C, Weingart J, Mukherjee D. A comparative analysis of the Hospital Frailty Risk Score in predicting postoperative outcomes among intracranial tumor patients. J Neurosurg 2023; 139:363-372. [PMID: 36577033 DOI: 10.3171/2022.11.jns222033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/04/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE In recent years, frailty indices such as the 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI) have been shown to be effective predictors of various postoperative outcomes in neurosurgical patients. The Hospital Frailty Risk Score (HFRS) is a well-validated tool for assessing frailty; however, its utility has not been evaluated in intracranial tumor surgery. In the present study, the authors investigated the accuracy of the HFRS in predicting outcomes following intracranial tumor resection and compared its utility to those of other validated frailty indices. METHODS A retrospective analysis was conducted using an intracranial tumor patient database at a single institution. Patients eligible for study inclusion were those who had undergone resection for an intracranial tumor between January 1, 2017, and December 31, 2019. ICD-10 codes were used to identify HFRS components and subsequently calculate risk scores. In addition to several postoperative variables, ASA class, CCI, and mFI-11 and mFI-5 scores were determined for each patient. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUROC), and the DeLong test was used to assess for significant differences between AUROCs. Multivariate models for continuous outcomes were constructed using linear regression, whereas logistic regression models were used for categorical outcomes. RESULTS A total of 2518 intracranial tumor patients (mean age 55.3 ± 15.1 years, 53.4% female, 70.4% White) were included in this study. The HFRS had a statistically significant greater AUROC than ASA status, CCI, mFI-11, and mFI-5 for postoperative complications, high hospital charges, nonroutine discharge, and 90-day readmission. In the multivariate analysis, the HFRS was significantly and independently associated with postoperative complications (OR 1.14, p < 0.0001), hospital length of stay (coefficient = 0.50, p < 0.0001), high hospital charges (coefficient = 1917.49, p < 0.0001), nonroutine discharge (OR 1.14, p < 0.0001), and 90-day readmission (OR 1.06, p < 0.0001). CONCLUSIONS The study findings suggest that the HFRS is an effective predictor of postoperative outcomes in intracranial tumor patients and more effectively predicts adverse outcomes than other frailty indices. The HFRS may serve as an important tool for reducing patient morbidity and mortality in intracranial tumor surgery.
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Affiliation(s)
- Adrian E Jimenez
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jiaqi Liu
- 2Georgetown University School of Medicine, Washington, DC
| | - Kyle V Cicalese
- 3Virginia Commonwealth University School of Medicine, Richmond, Virginia; and
| | - Miguel A Jimenez
- 4The University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | - Jose L Porras
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tej D Azad
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christopher Jackson
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gary L Gallia
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Chetan Bettegowda
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jon Weingart
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Debraj Mukherjee
- 1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Jimenez AE, Mukherjee D. High-Value Care Outcomes of Meningiomas. Neurosurg Clin N Am 2023; 34:493-504. [DOI: 10.1016/j.nec.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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5
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Jimenez AE, Porras JL, Azad TD, Shah PP, Jackson CM, Gallia G, Bettegowda C, Weingart J, Mukherjee D. Machine Learning Models for Predicting Postoperative Outcomes following Skull Base Meningioma Surgery. J Neurol Surg B Skull Base 2022; 83:635-645. [PMID: 36393884 PMCID: PMC9653296 DOI: 10.1055/a-1885-1447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 06/20/2022] [Indexed: 10/17/2022] Open
Abstract
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.
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Affiliation(s)
- Adrian E. Jimenez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Jose L. Porras
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Tej D. Azad
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Pavan P. Shah
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Christopher M. Jackson
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Gary Gallia
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Jon Weingart
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
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Nair SK, Chakravarti S, Jimenez AE, Botros D, Chiu I, Akbari H, Fox K, Jackson C, Gallia G, Bettegowda C, Weingart J, Mukherjee D. Novel Predictive Models for High-Value Care Outcomes Following Glioblastoma Resection. World Neurosurg 2022; 161:e572-e579. [PMID: 35196588 DOI: 10.1016/j.wneu.2022.02.064] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/13/2022] [Accepted: 02/14/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Treating patients with glioblastoma (GBM) requires extensive medical infrastructure. Individualized risk assessment for extended length of stay (LOS), nonroutine discharge disposition, and increased total hospital charges is critical to optimize delivery of care. Our study sought to develop predictive models identifying independent risk factors for these outcomes. METHODS We retrospectively reviewed patients undergoing GBM resection at our institution between January 2017 and September 2020. Extended LOS and elevated hospital charges were defined as values in the upper quartile of the cohort. Nonroutine discharge was defined as any disposition other than to home. Multivariate models for each outcome included covariates demonstrating P ≤ 0.10 on bivariate analysis. RESULTS We identified 265 patients undergoing GBM resection, with an average age of 58.2 years. 24.5% of patients experienced extended LOS, 22.6% underwent nonroutine discharge, and 24.9% incurred elevated total hospital charges. Decreasing Karnofsky Performance Status (KPS) (P = 0.004), increasing modified 5-factor frailty (mFI-5) index (P = 0.012), lower surgeon experience (P = 0.005), emergent surgery (P < 0.0001), and larger tumor volume (P < 0.0001) predicted extended LOS. Independent predictors of nonroutine discharge included older age (P = 0.02), decreasing KPS (P < 0.0001), and emergent surgery (P = 0.048). Nonprivate insurance (P = 0.011), decreasing KPS (P = 0.029), emergent surgery (P < 0.0001), and larger tumor volume (P = 0.004) predicted elevated hospital charges. These models were incorporated into an open-access online calculator (https://neurooncsurgery3.shinyapps.io/gbm_calculator/). CONCLUSIONS Several factors were independent predictors for at least 1 high-value care outcome, with lower KPS and emergent admission associated with each outcome. These models and our calculator may help clinicians provide individualized postoperative risk assessment to glioblastoma patients.
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Affiliation(s)
- Sumil K Nair
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sachiv Chakravarti
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Adrian E Jimenez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David Botros
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ian Chiu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hanan Akbari
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Keiko Fox
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Christopher Jackson
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gary Gallia
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jon Weingart
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Li S, Yan X, Li R, Zhang X, Ma T, Zeng M, Dong J, Wang J, Liu X, Peng Y. Safety of intravenous tranexamic acid in patients undergoing supratentorial meningiomas resection: protocol for a randomised, parallel-group, placebo control, non-inferiority trial. BMJ Open 2022; 12:e052095. [PMID: 35110315 PMCID: PMC8811564 DOI: 10.1136/bmjopen-2021-052095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Growing evidence recommends antifibrinolytic agent tranexamic acid (TXA) to reduce blood loss and transfusions rate in various surgical settings. However, postoperative seizure, as one of the major adverse effects of TXA infusion, has been a concern that restricts its utility in neurosurgery. METHODS AND ANALYSIS This is a randomised, placebo-controlled, non-inferiority trial. Patients with supratentorial meningiomas and deemed suitable for surgical resection will be recruited in the trial. Patients will be randomised to receive either a single administration of 20 mg/kg TXA or a placebo of the same volume with a 1:1 allocation ratio after anaesthesia induction. The primary endpoint is the cumulative incidence of early postoperative seizures within 7 days after craniotomy. Secondary outcomes include the incidence of non-seizure complications, changes of haemoglobin level from baseline, intraoperative blood loss, erythrocyte transfusion volume, Karnofsky Performance Status, all-cause mortality, and length of stay, and total hospitalisation cost. ETHICS AND DISSEMINATION This trial is registered at ClinicalTrial.gov and approved by the Chinese Ethics Committee of Registering Clinical Trials (ChiECRCT20200224). The findings will be disseminated in peer-reviewed journals and presented at national or international conferences relevant to subject fields. TRIAL REGISTRATION NUMBER NCT04595786.
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Affiliation(s)
- Shu Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiang Yan
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ruowen Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingyue Zhang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tingting Ma
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Min Zeng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jia Dong
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Juan Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoyuan Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuming Peng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Jimenez AE, Chakravarti S, Liu S, Wu E, Wei O, Shah PP, Nair S, Gendreau JL, Porras JL, Azad TD, Jackson CM, Gallia G, Bettegowda C, Weingart J, Brem H, Mukherjee D. Predicting High-Value Care Outcomes After Surgery for Non-Skull Base Meningiomas. World Neurosurg 2021; 159:e130-e138. [PMID: 34896348 DOI: 10.1016/j.wneu.2021.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022]
Abstract
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.
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Affiliation(s)
- Adrian E Jimenez
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sachiv Chakravarti
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sophie Liu
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Esther Wu
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Oren Wei
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Pavan P Shah
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sumil Nair
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Julian L Gendreau
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jose L Porras
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Tej D Azad
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Christopher M Jackson
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gary Gallia
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chetan Bettegowda
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jon Weingart
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Henry Brem
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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9
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Jimenez AE, Khalafallah AM, Botros D, Horowitz MA, Azmeh O, Lam S, Oliveira LAP, Chakravarti S, Liu S, Wu E, Wei O, Porras JL, Bettegowda C, Tamargo RJ, Brem H, Mukherjee D. The role of anticoagulation for superior sagittal sinus thrombosis following craniotomy for resection of parasagittal/parafalcine meningiomas. J Neurooncol 2021; 156:341-352. [PMID: 34855096 DOI: 10.1007/s11060-021-03916-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/27/2021] [Indexed: 11/25/2022]
Abstract
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.
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Affiliation(s)
- Adrian E Jimenez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Adham M Khalafallah
- Department of Neurological Surgery, University of Miami School of Medicine, Miami, FL, 33136, USA
| | - David Botros
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Melanie A Horowitz
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Omar Azmeh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Shravika Lam
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Leonardo A P Oliveira
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Sachiv Chakravarti
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Sophie Liu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Esther Wu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Oren Wei
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Jose L Porras
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Rafael J Tamargo
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Henry Brem
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
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10
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Przybylowski CJ, Zhao X, Baranoski JF, Borba Moreira L, Gandhi S, Chapple KM, Almefty KK, Sanai N, Ducruet AF, Albuquerque FC, Little AS, Nakaji P. Preoperative embolization versus no embolization for WHO grade I intracranial meningioma: a retrospective matched cohort study. J Neurosurg 2021; 134:693-700. [DOI: 10.3171/2020.1.jns19788] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 01/13/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe controversy continues over the clinical utility of preoperative embolization for reducing tumor vascularity of intracranial meningiomas prior to resection. Previous studies comparing embolization and nonembolization patients have not controlled for detailed tumor parameters before assessing outcomes.METHODSThe authors reviewed the cases of all patients who underwent resection of a WHO grade I intracranial meningioma at their institution from 2008 to 2016. Propensity score matching was used to generate embolization and nonembolization cohorts of 52 patients each, and a retrospective review of clinical and radiological outcomes was performed.RESULTSIn total, 52 consecutive patients who underwent embolization (mean follow-up 34.8 ± 31.5 months) were compared to 52 patients who did not undergo embolization (mean follow-up 32.8 ± 28.7 months; p = 0.63). Variables controlled for included patient age (p = 0.82), tumor laterality (p > 0.99), tumor location (p > 0.99), tumor diameter (p = 0.07), tumor invasion into a major dural sinus (p > 0.99), and tumor encasement around the internal carotid artery or middle cerebral artery (p > 0.99). The embolization and nonembolization cohorts did not differ in terms of estimated blood loss during surgery (660.4 ± 637.1 ml vs 509.2 ± 422.0 ml; p = 0.17), Simpson grade IV resection (32.7% vs 25.0%; p = 0.39), perioperative procedural complications (26.9% vs 19.2%; p = 0.35), development of permanent new neurological deficits (5.8% vs 7.7%; p = 0.70), or favorable modified Rankin Scale (mRS) score (a score of 0–2) at last follow-up (96.0% vs 92.3%; p = 0.43), respectively. When comparing the final mRS score to the preoperative mRS score, patients in the embolization group were more likely than patients in the nonembolization group to have an improvement in mRS score (50.0% vs 28.8%; p = 0.03).CONCLUSIONSAfter controlling for patient age, tumor size, tumor laterality, tumor location, tumor invasion into a major dural sinus, and tumor encasement of the internal carotid artery or middle cerebral artery, preoperative meningioma embolization intended to decrease tumor vascularity did not improve the surgical outcomes of patients with WHO grade I intracranial meningiomas, but it did lead to a greater chance of clinical improvement compared to patients not treated with embolization.
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11
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Jimenez AE, Khalafallah AM, Lam S, Horowitz MA, Azmeh O, Rakovec M, Patel P, Porras JL, Mukherjee D. Predicting High-Value Care Outcomes After Surgery for Skull Base Meningiomas. World Neurosurg 2021; 149:e427-e436. [PMID: 33567369 DOI: 10.1016/j.wneu.2021.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 01/30/2021] [Accepted: 02/01/2021] [Indexed: 11/29/2022]
Abstract
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.
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Affiliation(s)
- Adrian E Jimenez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Adham M Khalafallah
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shravika Lam
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Melanie A Horowitz
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Omar Azmeh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Maureen Rakovec
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Palak Patel
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jose L Porras
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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12
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Wahood W, Alexander AY, Yolcu YU, Brinjikji W, Kallmes DF, Lanzino G, Bydon M. Trends in Utilization of Preoperative Embolization for Spinal Metastases: A Study of the National Inpatient Sample 2005-2017. Neurointervention 2021; 16:52-58. [PMID: 33657312 PMCID: PMC7946559 DOI: 10.5469/neuroint.2020.00381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/03/2020] [Indexed: 11/25/2022] Open
Abstract
Purpose While previous studies have suggested that preoperative embolization of hypervascular spinal metastases may alleviate intraoperative blood loss and improve resectability, trends and driving factors for choosing this approach have not been extensively explored. Therefore, we evaluated the trends and assessed the factors associated with preoperative embolization utilization for spinal metastatic tumors using a national inpatient database. Materials and Methods The National Inpatient Sample database of the Healthcare Cost and Utilization Project was queried for patients undergoing surgical resection for spinal metastasis between January 1, 2005 and December 31, 2017. Patients undergoing preoperative embolization were identified; trends in the utilization of preoperative embolization were analyzed using the Cochran-Armitage test. Multivariable regression was conducted to assess factors associated with higher preoperative embolization utilization. Results A total of 11,508 patients with spinal metastasis were identified; 105 (0.91%) underwent preoperative embolization. Of those 105 patients, 79 (75.24%) patients had a primary renal cancer, as compared to 1,732 (15.19%) of those who did not undergo preoperative embolization (P<0.001). The majority of patients in the non-preoperative embolization cohort had a primary lung tumor (n=3,562, 31.24%). Additionally, patient comorbidities were similar among the 2 groups (P>0.05). Trends in preoperative embolization indicated an increase of 0.16% (standard error: 0.024%, P<0.001) in utilization per year. Conclusion Utilization of preoperative embolization for spinal metastasis is increasing yearly, especially for patients with renal cancer, suggesting that surgeons may increasingly consider embolization before surgical resection for hypervascular tumors. Additionally, the literature has shown the intraoperative and postoperative benefits of this procedure.
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Affiliation(s)
- Waseem Wahood
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Davie, FL, USA
| | - Alex Yohan Alexander
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Yagiz Ugur Yolcu
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Davie, FL, USA
| | | | | | - Giuseppe Lanzino
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Mohamad Bydon
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.,Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Davie, FL, USA
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13
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Jimenez AE, Khalafallah AM, Huq S, Horowitz MA, Azmeh O, Lam S, Oliveira LAP, Brem H, Mukherjee D. Predictors of Nonroutine Discharge Disposition Among Patients with Parasagittal/Parafalcine Meningioma. World Neurosurg 2020; 142:e344-e349. [PMID: 32652275 DOI: 10.1016/j.wneu.2020.06.239] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/27/2020] [Accepted: 06/30/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Discharge disposition is an important outcome for neurosurgeons to consider in the context of high-quality, value-based care. There has been limited research into how the unique anatomic considerations associated with parasagittal/parafalcine meningioma resection may influence discharge disposition. We investigated the effects of various predictors on discharge disposition within a cohort of patients with parasagittal/parafalcine meningioma. METHODS A total of 154 patients treated at a single institution were analyzed (2016-2019). Bivariate analysis was conducted using the Mann-Whitney U and Fisher exact tests. Multivariate analysis was conducted using logistic regression. An optimism-corrected C-statistic was calculated using 2000 bootstrap samples to assess logistic regression model performance. RESULTS Our cohort was mostly female (67.5%) and white (72.7%), with a mean age of 57.29 years. Most patients had tumors associated with the middle third of the superior sagittal sinus (SSS) (60.4%) and had tumors that were not fully occluding the SSS (74.0%). In multivariate analysis, independent predictors of nonroutine discharge disposition included 5-factor Modified Frailty Index score (odds ratio [OR], 2.06; P = 0.0088), Simpson grade IV resection (OR, 4.22; P = 0.0062), and occurrence of any postoperative complication (OR, 2.89; P = 0.031). The optimism-corrected C-statistic of our model was 0.757. CONCLUSIONS In our single-institution experience, neither extent of SSS invasion nor location along the SSS predicted nonroutine discharge, suggesting that tumor invasion and posterior location along the SSS are not necessarily contraindications to surgery. Our results also highlight the importance of frailty and tumor size in stratifying patients at risk of nonroutine discharge disposition.
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Affiliation(s)
- Adrian E Jimenez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Adham M Khalafallah
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sakibul Huq
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Melanie A Horowitz
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Omar Azmeh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shravika Lam
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Leonardo A P Oliveira
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Henry Brem
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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14
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Dabus G, Linfante I, McDermott MW. Angiography and embolization of meningiomas. HANDBOOK OF CLINICAL NEUROLOGY 2020; 169:193-202. [PMID: 32553290 DOI: 10.1016/b978-0-12-804280-9.00013-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2023]
Abstract
The preoperative embolization of meningiomas has been part of the surgical treatment of large meningiomas for over 45 years. During that time there have been huge advances in the field of endovascular surgery with respect to techniques and instrumentation. Angiography and embolization are usually reserved for the largest tumors where there are concerns over potential blood loss with surgical excision. In this chapter, we discuss the technical aspects of angiography and embolization as well as results and complications.
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Affiliation(s)
- Guilherme Dabus
- Miami Neuroscience Institute, Baptist Health of South Florida, Miami, FL, United States; Miami Cardiac & Vascular Institute, Baptist Health of South Florida, Miami, FL, United States.
| | - Italo Linfante
- Miami Neuroscience Institute, Baptist Health of South Florida, Miami, FL, United States; Miami Cardiac & Vascular Institute, Baptist Health of South Florida, Miami, FL, United States
| | - Michael W McDermott
- Miami Neuroscience Institute, Baptist Health of South Florida, Miami, FL, United States; Division of Neuroscience, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
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15
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Predictors of preoperative endovascular embolization of meningiomas: subanalysis of anatomic location and arterial supply. J Neurointerv Surg 2019; 12:204-208. [DOI: 10.1136/neurintsurg-2019-015129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 06/20/2019] [Accepted: 06/24/2019] [Indexed: 11/03/2022]
Abstract
IntroductionEndovascular embolization of intracranial meningiomas is commonly used as an adjunct to surgical resection. We sought to describe the anatomic locations and vascular supplies of meningiomas to identify characteristics predictive of successful preoperative endovascular embolization.MethodsWe conducted a retrospective review of 139 meningioma cases receiving cerebral angiograms for possible preoperative endovascular embolization at our institution between December 2000 and March 2017. The extent of embolization, arterial supply, anatomic location, and procedural complications were recorded for each case. Univariate and multivariate analyses were performed to identify tumor characteristics that predicted successful embolization.ResultsOf the total meningioma patients undergoing preoperative angiography, 78% (108/139) were successfully embolized, with a 2.8% periprocedural complication rate (3/108). Within the subset of patients with successful embolization, 31% (33/108) achieved complete angiographic embolization. Significant multivariate predictors of embolization (either partial or complete) were convexity/parasagittal locations (OR 5.15, 95% CI 0.93 to 28.54, p=0.060), meningohypophyseal trunk (MHT, OR 4.65, 95% CI 1.63 to 13.23, p=0.004), middle meningeal artery (MMA, OR 10.89, 95% CI 3.43 to 34.64, p<0.001), and ascending pharyngeal artery supply (APA, OR 9.96, 95% CI 1.88 to 52.73, p=0.007). Significant predictors for complete embolization were convexity/parasagittal locations (OR 4.79, 95% CI 1.66 to 13.84, p=0.004) and embolized APA supply (OR 6.94, 95% CI 1.90 to 25.39, p=0.003). Multiple arterial supply was a negative predictor of complete embolization (OR 0.38, 95% CI 0.15 to 0.98, p=0.05).ConclusionsTumor characteristics can be used to predict the likelihood of preoperative meningioma embolization. Parasagittal and convexity meningiomas, and those with APA supply, are most likely to achieve complete angiographic embolization.
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