Prognostic Factors for Patients with Primary Gliosarcoma: A Single-Center Retrospective Study.

BACKGROUND: Primary gliosarcoma is a rare form of malignant central nervous system tumor, with limited understanding regarding its prognostic determinants and effective therapeutic interventions. METHODS: The medical records of patients diagnosed with gliosarcoma at Tangdu Hospital between March 2011 and June 2023 were retrospectively analyzed in this study. Patients with a prior history of glioma or those who received preoperative chemoradiotherapy were excluded. Survival analyses were conducted using Kaplan-Meier and Cox regression analysis. RESULTS: A total of 77 patients were included in the final analysis, with a median age of 57 years (range: 13-83). The predominant symptom leading to diagnosis was headache, and the temporal lobe was the most frequently affected site. Univariate analysis revealed that age ≤65 years, complete resection, Ki67 ≤ 25%, postoperative Karnofsky Performance Status ≥ 70, adherence to the Stupp protocol, and additional active therapy upon relapse were associated with enhanced survival. Furthermore, multivariate analysis identified complete resection, age ≤65 years, Stupp protocol treatment, and active therapy following relapse were independent predictors of overall survival. Notably, 1 patient experienced subcutaneous metastasis during treatment. CONCLUSIONS: The present study's findings suggest that optimal management of primary gliosarcoma entails maximal safe resection, combined with adjuvant radiotherapy and chemotherapy with temozolomide, followed by salvage therapy in case of recurrence. However, the risk of metastases should be carefully monitored during the treatment course.

Nomogram for Predicting Central Nervous System Infection Following Traumatic Brain Injury in the Elderly.

OBJECTIVE: This study aims to identify risk factors for central nervous system (CNS) infection in elderly patients hospitalized with traumatic brain injury (TBI) and to develop a reliable predictive tool for assessing the likelihood of CNS infection in this population. METHOD: We conducted a retrospective study on 742 elderly TBI patients treated at Tangdu Hospital, China. Clinical data was randomly split into training and validation sets (7:3 ratio). By conducting univariate and multivariate logistic regression analysis in the training set, we identified a list of variables to develop a nomogram for predicting the risk of CNS infection. We evaluated the performance of the predictive model in both cohorts respectively, using receiver operating characteristics curves, calibration curves, and decision curve analysis. RESULTS: Results of the logistic analysis in the training set indicated that surgical intervention (P = 0.007), red blood cell count (P = 0.019), C-reactive protein concentration (P < 0.001), and cerebrospinal fluid leakage (P < 0.001) significantly predicted the occurrence of CNS infection in elderly TBI patients. The model constructed based on these variables had high predictive capability (area under the curve-training = 0.832; area under the curve-validation = 0.824) as well as clinical utility. CONCLUSIONS: A nomogram constructed based on several key predictors reasonably predicts the risk of CNS infection in elderly TBI patients upon hospital admission. The model of the nanogram may contribute to timely interventions and improve health outcomes among affected individuals.

Is There an Optimal Time Window of Placement of Intracranial Pressure (ICP) Monitor for Elderly Patients With Severe Traumatic Brain Injury? An 11-Year Institutional Cohort Study With Restricted Cubic Spline Analysis.

Severe traumatic brain injury (sTBI) is a prominent contributor to both morbidity and mortality in the elderly population. The monitoring of intracranial pressure (ICP) is crucial in the management of sTBI patients. Nevertheless, the appropriate timing for the placement of ICP monitor in elderly sTBI patients remains uncertain. To determine the optimal timing for the placement of ICP monitor in elderly sTBI patients, in this retrospective cohort study, we collected data from elderly patients (> 65 years) who suffered sTBI and received ICP monitors at Tangdu Hospital, The Fourth Military Medical University, between January 2011 and December 2021. To examine the relationship between the time of ICP monitor placement and in-hospital mortality, we conducted a multi-variate-adjusted restricted cubic spline (RCS) analysis. Additionally, logistic regression analysis was applied to further analyze the influencing factors contributing to early or late ICP monitor placements. A total of 283 eligible elderly TBI patients were included in the current analysis. The in-hospital mortality rate was 73 out of 283 (26%). The RCS analysis demonstrated an inverted U-shaped curve in the relationship between the timing of ICP monitor placement and in-hospital mortality. For the elderly sTBI patient cohort, 6 h was identified as the crucial moment for the treatment strategy. In addition, the protective time window for ICP placement was less than 4.92 h for the GCS 3-5 group, and less than 8.26 h for the GCS 6-8 group. However, the clinical benefit of ICP placement decreased gradually over time. The relationship between ICP placement and in-hospital mortality was non-linear, exhibiting an inverted U-shaped curve in elderly patients with sTBI. For elderly patients with sTBI, early (≤ 6 h) ICP placement was associated with reduced in-hospital mortality. The clinical benefit of ICP placement decreased beyond the optimal time window.

Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data.

OBJECTIVE: Develop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk. STUDY DESIGN: The study involved pediatric glioma patients from the Surveillance, Epidemiology, and End Results (SEER) Registry (2000-2018) and Tangdu Hospital in China (2010-2018) within specific time frames. For training, we selected two neural network-based algorithms (DeepSurv, neural multi-task logistic regression [N-MTLR]) and one ensemble learning-based algorithm (random survival forest [RSF]). Additionally, a multivariable Cox proportional hazard (CoxPH) model was developed for comparison purposes. The SEER dataset was randomly divided into 80 % for training and 20 % for testing, while the Tangdu Hospital dataset served as an external validation cohort. Super-parameters were fine-tuned through 1000 repeated random searches and 5-fold cross-validation on the training cohort. Model performance was assessed using the concordance index (C-index), Brier score, and Integrated Brier Score (IBS). Furthermore, the accuracy of predicting survival at 1, 3, and 5 years was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and the area under the ROC curves (AUC). The generalization ability of the model was assessed using the C-index of the Tangdu Hospital data, ROC curves for 1, 3, and 5 years, and AUC values. Lastly, decision curve analysis (DCA) curves for 1, 3, and 5-year time frames are provided to assess the net benefits across different models. RESULTS: A total of 9532 patients with pediatric glioma were included in this study, comprising 9274 patients from the SEER database and 258 patients from Tangdu Hospital in China. The average age at diagnosis was 9.4 ± 6.2 years, and the average survival time was 96 ± 66 months. Through comprehensive performance comparison, the DeepSurv model demonstrated the highest effectiveness, with a C-index of 0.881 on the training cohort. Furthermore, it exhibited excellent accuracy in predicting the 1-year, 3-year, and 5-year survival rates (AUC: 0.903-0.939). Notably, the DeepSurv model also achieved remarkable performance and accuracy on the Chinese dataset (C-index: 0.782, AUC: 0.761-0.852). Comprehensive analysis of DeepSurv, N-MTLR, and RSF revealed that tumor stage, radiotherapy, histological type, tumor size, chemotherapy, age, and surgical method are all significant factors influencing the prognosis of pediatric glioma. Finally, an online version of the pediatric glioma survival predictor based on the DeepSurv model has been established and can be accessed through https://pediatricglioma-tangdu.streamlit.app. CONCLUSIONS: The DeepSurv model exhibits exceptional efficacy in predicting the survival of pediatric glioma patients, demonstrating strong performance in discrimination, calibration, stability, and generalization. By utilizing the online version of the pediatric glioma survival predictor, which is based on the DeepSurv model, clinicians can accurately predict patient survival and offer personalized treatment options.

Predicting the Risk of In-Hospital Mortality in Traumatic Brain Injury Patients on Invasive Mechanical Ventilation in the Intensive Care Unit: Construction and Validation of an Online Nomogram.

OBJECTIVE: To explore mortality risk factors and to construct an online nomogram for predicting in-hospital mortality in traumatic brain injury (TBI) patients receiving invasive mechanical ventilation (IMV) in intensive care unit (ICU). METHODS: We retrospectively analyzed TBI patients on IMV in ICU from Medical Information Mart for Intensive Care IV database and 2 hospitals. Least absolute shrinkage and selection operation regression and multiple logistic regression were used to detect predictors of in-hospital mortality and to construct an online nomogram. The predictive performance of nomogram was evaluated using area under the receiver operating characteristic curves (AUC), calibration curves, decision curve analysis, and clinical impact curves. RESULTS: Five hundred ten from Medical Information Mart for Intensive Care IV database were enrolled for nomogram construction (80%, n = 408) and internal validation (20%, n = 102). One hundred eighty-five from 2 hospitals were enrolled for external validation. Least absolute shrinkage and selection operation-logistic regression revealed predictors of in-hospital mortality among TBI patients on IMV in ICU included Glasgow Coma Scale (GCS) after ICU admission, Acute Physiology Score III (APS III) after ICU admission, neutrophil and lymphocyte ratio after IMV, blood urea nitrogen after IMV, arterial serum lactate after IMV, and in-hospital tracheotomy. The AUC, calibration curves, decision curve analysis, and clinical impact curves indicated the nomogram had good discrimination, calibration, clinical benefit, and applicability. The multimodel comparisons revealed the nomogram had higher AUC than GCS, APS III, and Simplified Acute Physiology Score II. CONCLUSIONS: We constructed and validated an online nomogram based on routinely recorded factors at admission to ICU and at the beginning of IMV to target prediction of in-hospital mortality among TBI patients on IMV in ICU.

Risk Factors and Predictive Nomogram for Survival in Elderly Patients with Brain Glioma.

OBJECTIVE: To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram. METHODS: Data from elderly individuals (age ≥65 years) histologically diagnosed with brain glioma were sourced from the Surveillance, Epidemiology, and End Results (SEER) database. The dataset was randomly divided into a training cohort and an internal validation cohort at a 6:4 ratio. Additionally, data obtained from Tangdu Hospital constituted an external validation cohort for the study. The identification of independent prognostic factors was achieved through the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis, enabling the construction of a nomogram. Model performance was evaluated using C-index, ROC curves, calibration plot and decision curve analysis (DCA). RESULTS: A cohort of 20 483 elderly glioma patients was selected from the SEER database. Five prognostic factors (age, marital status, histological type, stage, and treatment) were found to significantly impact overall survival (OS) and cancer-specific survival (CSS), with tumor location emerging as a sixth variable independently linked to CSS. Subsequently, nomogram models were developed to predict the probabilities of survival at 6, 12, and 24 months. The assessment findings from the validation queue indicate a that the model exhibited strong performance. CONCLUSION: Our nomograms serve as valuable prognostic tools for assessing the survival probability of elderly glioma patients. They can potentially assist in risk stratification and clinical decision-making.

The clinical and neurocognitive functional changes with awake brain mapping for gliomas invading eloquent areas: Institutional experience and the utility of The Montreal Cognitive Assessment.

Objective: Awake craniotomy with intraoperative brain functional mapping effectively reduces the potential risk of neurological deficits in patients with glioma invading the eloquent areas. However, glioma patients frequently present with impaired neurocognitive function. The present study aimed to investigate the neurocognitive and functional outcomes of glioma patients after awake brain mapping and assess the experience of a tertiary neurosurgical center in China over eight years. Methods: This retrospective study included 80 patients who underwent awake brain mapping for gliomas invading the eloquent cortex between January 2013 and December 2021. Clinical and surgical factors, such as the extent of resection (EOR), perioperative Karnofsky Performance Score (KPS), progression-free survival (PFS), and overall survival (OS), were evaluated. We also used the Montreal Cognitive Assessment (MoCA) to assess the neurocognitive status changes. Results: The most frequently observed location of glioma was the frontal lobe (33/80, 41.25%), whereas the tumor primarily invaded the language-related cortex (36/80, 45%). Most patients had supratotal resection (11/80, 13.75%) and total resection (45/80, 56.25%). The median PFS was 43.2 months, and the median OS was 48.9 months in our cohort. The transient (less than seven days) neurological deficit rate was 17.5%, whereas the rate of persistent deficit (lasting for three months) was 15%. At three months of follow-up, most patients (72/80, 90%) had KPS scores > 80. Meanwhile, compared to the preoperative baseline tests, the changes in MoCA scores presented significant improvements at discharge and three months follow-up tests. Conclusion: Awake brain mapping is a feasible and safe method for treating glioma invading the eloquent cortex, with the benefit of minimizing neurological deficits, increasing EOR, and extending survival time. The results of MoCA test indicated that brain mapping plays a critical role in preserving neurocognitive function during tumor resection.

Epidemiological characteristics for patients with traumatic brain injury and the nomogram model for poor prognosis: an 18-year hospital-based study.

Objective: Traumatic brain injury (TBI) is a global social, economic, and health challenge that is associated with premature death and long-term disability. In the context of rapid development of urbanization, the analysis of TBI rate and mortality trend could provide abundant diagnosis and treatment suggestions, which helps to form future reference on public health strategies. Methods: In this study, as one of major neurosurgical centers in China, we focused on the regime shift of TBI based on 18-year consecutive clinical data and evaluated the epidemiological features. In our current study, a total of 11,068 TBI patients were reviewed. Results: The major cause of TBI was road traffic injuries (44.%), while the main type of injury was cerebral contusion (n = 4,974 [44.94%]). Regarding to temporal changes, a decreasing trend in TBI incidence for patients under 44 years old was observed, while an increasing trend for those aged over 45 years was indicated. Incidences of RTI and assaults decreased, while ground level fall presented increasing incidences. The total number of deaths was 933 (8.43%), with a decreasing trend in overall mortality since 2011. Age, cause of injury, GCS at admission, Injury Severity Score, shock state at admission, trauma-related diagnoses and treatments were significantly associated with mortality. A predictive nomogram model for poor prognosis was developed based on patient's GOS scores at discharge. Conclusions: The trends and characteristics of TBI patients changed with rapid development of urbanization in the past 18 years. Further larger studies are warranted to verify its clinical suggestions.

Classification of Central Nervous System Tumors Histologically Diagnosed in a Single Center of China 2003-2019.

OBJECTIVE: The classification of central nervous system (CNS) tumors has changed greatly. The Central Brain Tumor Registry of the United States (CBTRUS) and other institutions have analyzed the incidence rate and characteristics of primary CNS tumors. However, there are limited studies analyzing the incidence rate and characteristics of CNS tumors in China. To better understand CNS tumors in China, we summarized all primary CNS tumors diagnosed pathologically in a single center from 2003 to 2019. METHODS: All patients with primary CNS tumors who underwent neurosurgery at our hospital from January 2003 to December 2019 were included in this study. The data were collected from the hospital information system, including diagnosis time, age, gender, anatomic sites, and pathologic results. RESULTS: A total of 17,226 cases of primary CNS tumors were retrospectively analyzed in this study. Among all cases, the major tumor types included meningiomas, tumors of neuroepithelial tissue, and pituitary adenomas. Most tumors of neuroepithelial tissue were glioblastoma and astrocytoma. Most tumors of neuroepithelial tissue were located in the frontal lobe. However, grade 4 tumors of neuroepithelial tissue were more common in the temporal lobe. The median age of all patients was 46 years. The incidence of CNS tumors was higher in women than in men. CONCLUSIONS: Based on this data set, we analyzed various parameters of CNS tumors and found that grade 4 tumors of neuroepithelial tissue were more common in the temporal lobe, which were rarely reported in previous articles.

The role of preoperative inflammatory markers in patients with central nervous system tumors, focus on glioma.

Background: CNS tumors, particularly gliomas, are associated with a high rate of disability and lethality, and are typically diagnosed with histopathology and immunohistochemistry. Our research aims to develop a minimally invasive method for diagnosing, grading and molecular typing glioma. Methods: We collected patients who underwent surgery for glioma, Trigeminal neuralgia/Hemifacial spasm, schwannoma, pituitary adenomas and meningioma at our hospital from June 2019 to June 2021. Preoperative WBCs, neutrophils, lymphocytes, monocytes, platelet counts and albumin levels were collected. Preoperative NLR, dNLR, PLR, LMR and PNI were calculated, and the correlation between them and glioma diagnosis as well as grading was analyzed. We also evaluated the diagnostic significance of NLR, dNLR, PLR, LMR, PNI and their combinations for gliomas, particularly GBM, as well as the diagnostic significance of IDH molecular typing of gliomas. Results: There were 182 healthy samples and 3101 diseased samples in our study. Compared with other groups, glioma patients had significantly higher preoperative NLR, dNLR and PLR values, but lower LMR and PNI values. Further analysis showed that NLR, dNLR, and PLR were positively correlated with glioma grading, while LMR and PNI were negatively correlated with glioma grading. For the diagnosis of glioma, NLR showed a maximum AUC value of 0.8099 (0.7823-0.8374). For GBM, NLR showed a maximum AUC value of 0.9585 (0.9467-0.9703). In the combination, NLR+dNLR showed the highest AUC value of 0.8070(0.7849-0.8291). NLR showed significant statistical significance in all grades of glioma IDH molecular typing, while PLR did not show statistical significance. Conclusions: NLR has the greatest value for the diagnosis, differential diagnosis, grading and molecular typing of gliomas. The NLR+dNLR combination also showed high sensitivity and specificity. We believe that inflammatory parameters may serve as economical and specific markers for glioma diagnosis, grading, molecular typing, and progression.

Prognostic and predictive factors of secondary gliosarcoma: A single-institution series of 18 cases combined with 89 cases from literature.

Introduction: Secondary gliosarcomas (SGS) are rare malignancies that are diagnosed subsequent to pre-existing glioma. Clinical features and optimal treatment strategies for SGS have not been conclusively established. This study aimed to assess the clinicopathological features and outcomes of SGS. Methods: We assessed the clinicopathological features and outcomes of SGS via retrospective analysis of data for SGS patients at Tangdu Hospital. Data from SGS patients in prior publications were also analyzed in accordance with PRISMA guidelines. Results: Eighteen SGS patients who had been treated at Tangdu Hospital between 2013 and 2020 were enrolled in this study. Additional 89 eligible SGS patients were identified from 39 studies. The median age for the patients was 53 years old, and the most common location was the temporal lobe. The most common initial diagnosis was glioblastoma (GBM) (72.0%). Radiology revealed enhanced masses in 94.8% (73/77) of patients. Ten patients (10/107, 9.35%) had extracranial metastases at or after SGS diagnosis. Patients with initial diagnosis of non-GBM and who were younger than 60 years of age were significantly associated with a long duration of disease progression to SGS. After SGS diagnosis, patients with initial non-GBM diagnosis, gross total resection and chemoradiotherapy exhibited prolonged survival outcomes. Patients who had been initially diagnosed with GBM and received both chemoradiotherapy and active therapy after disease progression to SGS, had a significantly longer overall survival than patients who did not. Conclusion: Initial diagnosis of GBM was a poor prognostic factor for SGS. Patients who underwent gross total resection and chemoradiation had better overall survival outcomes than those who did not. However, during treatment, clinicians should be cognizant of possible extracranial metastases.

Real-World Implementation of Neurosurgical Enhanced Recovery After Surgery Protocol for Gliomas in Patients Undergoing Elective Craniotomy.

Objective: To design a multidisciplinary enhanced recovery after surgery (ERAS) protocol for glioma patients undergoing elective craniotomy and evaluate its clinical efficacy and safety after implementation in a tertiary neurosurgical center in China. Methods: ERAS protocol for glioma patients was developed and modified based on the best available evidence. Patients undergoing elective craniotomy for treatment of glioma between September 2019 to May 2021 were enrolled in a randomized clinical trial comparing a conventional neurosurgical perioperative care (control group) to an ERAS protocol (ERAS group). The primary outcome was postoperative hospital length of stay (LOS). Secondary outcomes were 30-day readmission rate, postoperative complications, duration of the drainage tube, time to first oral fluid intake, time to ambulation and functional recovery status. Results: A total of 151 patients were enrolled (ERAS group: n = 80; control group: n = 71). Compared with the control group, postoperative LOS was significantly shorter in the ERAS group (median: 5 days vs. 7 days, p<0.0001). No 30-day readmission or reoperation occurred in either group. The time of first oral intake, urinary catheter removal within 24 h and early ambulation on postoperative day (POD) 1 were earlier and shorter in the ERAS group compared with the control group (p<0.001). No statistical difference was observed between the two groups in terms of surgical- and nonsurgical-related complications. Functional recovery in terms of Karnofsky Performance Status (KPS) scores both at discharge and 30-day follow-up was similar in the two groups. Moreover, no significant difference was found between the two groups in the Hospital Anxiety and Depression Scale (HADS) scores. Conclusion: The implementation of the ERAS protocol for glioma patients offers significant benefits over conventional neurosurgical perioperative management, as it is associated with enhancing postoperative recovery, without additional perioperative complications and risks. Clinical Trial Registration: Chinese Clinical Trial Registry (http://www.chictr.org.cn/showproj.aspx?proj=42016), identifier ChiCTR1900025108.

Immune Gene Signatures and Immunotypes in Immune Microenvironment Are Associated With Glioma Prognose.

Glioma is the most common primary malignant brain tumor in adults with very poor prognosis. The limited new therapeutic strategies for glioma patients can be partially attributed to the complex tumor microenvironment. However, knowledge about the glioma immune microenvironment and the associated regulatory mechanisms is still lacking. In this study, we found that, different immune subtypes have a significant impact on patient survival. Glioma patients with a high immune response subtype had a shorter survival compared with patients with a low immune response subtype. Moreover, the number of B cell, T cell, NK cell, and in particular, the macrophage in the immune microenvironment of patients with a high immune response subtype were significantly enhanced. In addition, 132 genes were found to be related to glioma immunity. The functional analysis and verification of seven core genes showed that their expression levels were significantly correlated with the prognosis of glioma patients, and the results were consistent at tissue levels. These findings indicated that the glioma immune microenvironment was significantly correlated with the prognosis of glioma patients and multiple genes were involved in regulating the progression of glioma. The identified genes could be used to stratify glioma patients based on immune subgroup analysis, which may guide their clinical treatment regimen.

Long non-coding RNA MIR22HG inhibits glioma progression by downregulating microRNA-9/CPEB3.

Glioma is one of the most common and aggressive malignant intracranial tumors worldwide. Recently, non-coding RNAs have been found to play critical roles in the development of glioma. However, the exact mechanisms have not been fully elucidated. In the present study, reverse transcription-quantitative PCR was used to determine the expression level of the long non-coding RNA MIR22HG and microRNA (miR)-9, while western blot analysis was used to detect the protein expression level of CPEB3. The potential binding sites were predicted using the StarBase v2.0 online tool and the hypothesis was verified using a luciferase reporter assay. A Cell Counting Kit-8 assay was used to assess cell viability, while wound healing and Matrigel assays were used to determine the migration and invasion ability of glioma cancer cells. The results showed that MIR22HG expression level was decreased but miR-9 expression level was elevated in glioma tissues and cell lines. Furthermore, MIR22HG was found to sponge miR-9, while CPEB3 was the direct target of miR-9 in the glioma cell line. Functionally, MIR22HG regulated the proliferation, invasion and migration of the glioma cell line by targeting miR-9. CPEB3 may be involved in the progression of the glioma cell line. Taken together, these findings confirmed that MIR22HG suppressed glioma development by inhibiting the miR-9/CPEB3 axis and provides a novel therapeutic strategy for glioma treatment.

Prognostic and Predictive Factors in Elderly Patients With Glioblastoma: A Single-Center Retrospective Study.

Glioblastoma (GBM) is the most common primary malignant intracranial tumor and the median age at diagnosis is 65 years. However, elderly patients are usually excluded from clinical studies and age is considered as an independent negative prognostic factor for patients with GBM. Therefore, the best treatment method for GBM in elderly patients has remained controversial. Elderly GBM patients (≥ 60 years old) treated between January 2015 and December 2019 were enrolled in this study. Medical records were reviewed retrospectively, and clinicopathological characteristics, treatments, and outcomes were analyzed. A total of 68 patients were included, with a median age of 65.5 years (range: 60-79). The median preoperative Karnofsky performance scale (KPS) score was 90 (range 40-100) and median postoperative KPS score was 80 (range 0-90). Univariate analysis results showed that age, gender, comorbidities, preoperative KPS < 90 and MGMT promoter methylation were not significantly associated with PFS and OS. On the other hand, total resection, postoperative KPS ≥ 80, Ki67 > 25%, and Stupp-protocol treatment were significantly associated with prolonged PFS and OS. Moreover, multivariate analysis found that postoperative KPS ≥ 80, total resection, and Stupp-protocol treatment were prognostic factors for PFS and OS. The findings of this study have suggested that, on the premise of protecting function as much as possible, the more aggressive treatment regimens may prolong survival for elderly patients with GBM. However, further studies, particularly prospective randomized clinical trials, should be conducted to provide more definitive data on the appropriate management of elderly patients, especially for patients with MGMT promoter methylation.

Impact of the Extent of Surgical Resection on Patients With Intradural Extramedullary Bronchogenic Cysts: A Retrospective Institutional Experience and Review of the Literature.

Intradural extramedullary bronchogenic cysts (IEBC) are rare congenital cystic lesions. The clinical manifestations, radiological characteristics, especially the optimal treatment regimen are not well-understood. We retrospectively analyzed a series of patients with confirmed IEBC in Tangdu hospital and reviewed the published works to gain a comprehensive understanding of IEBC. In our institution, nine consecutive patients had pathologically confirmed IEBC between 2005 and 2018. We also identified 27 patients from previous studies. The most common presentations on magnetic resonance imaging (MRI) were hypointensity on T1-weighted images (T1WI), hyperintensity on T2-weighted images(T2WI), and no improvement on T1WI contrast-enhanced with gadolinium (94.4%). All patients in our center and the patients we reviewed received surgical resection; gross total resection (GTR) and partial resection (PR) were achieved in 20 (55.6%) and 16 (44.4%) patients, respectively. The symptom remission rate of patients who underwent GTR was 100%, which was similar to those who underwent PR (93.8%) (P = 0.457). The recurrence rate was 12.5% in the group who underwent PR and nil after GTR (P = 0.202). According to our current investigation, the surgical resection degree is irrelevant to the symptom remission rate. Therefore, we suggest that total resection should not be recommended for cases with tight adhesion. For patients with PR, longer follow-up will be necessary to determine the long-term outcome.

Clinical Features and Molecular Markers on Diffuse Midline Gliomas With H3K27M Mutations: A 43 Cases Retrospective Cohort Study.

PURPOSE: Diffuse midline gliomas (DMG) with H3K27M mutations have been identified as a rare distinctive entity with unique genetic features, varied molecular alterations, and poor prognosis. The current study aimed to evaluate the clinical characteristics and profile of molecular markers on patients with a DMG harboring H3K27M mutations, and explore the impact of this genetic makeup on overall survival. METHODS: We retrospectively analyzed 43 consecutive patients diagnosed with a DMG harboring H3K27M mutations (age range 3 to 75 years) and treated in a tertiary institution within China between January 2017 to December 2019. Various clinical and molecular factors were evaluated to assess their prognostic value in this unique patient cohort. RESULTS: The median overall survival (OS) was 12.83 months. Preoperative Karnofsky Performance Score (KPS) and adjuvant radiotherapy were found to be independent clinical parameters influencing the OS by multivariate analysis (p = 0.027 and p < 0.001 respectively). Whereas extent of tumor resection failed to demonstrate statistical significance. For molecular markers, P53 overexpression was identified as a negative prognostic factor for overall survival by multivariate analysis (p = 0.030). CONCLUSION: Low preoperative KPS, absence of radiotherapy and P53 overexpression were identified as predictors of a dismal overall survival in patients with DMG and H3K27M mutations.

Successful treatment of extensively drug-resistant Acinetobacter baumannii ventriculitis with polymyxin B and tigecycline- a case report.

Background: Acinetobacter baumannii nosocomial ventriculitis/meningitis, especially those due to drug-resistant strains, has substantially increased over recent years. However, limited therapeutic options exist for the Acinetobacter baumannii ventriculitis/meningitis because of the poor penetration rate of most antibiotics through the blood-brain barrier. Case presentation: A 57-year-old male patient developed ventriculitis from an extensively drug-resistant strain of Acinetobacter baumannii after the decompressive craniectomy for severe traumatic brain injury. The patient was successfully treated with intraventricular and intravenous polymyxin B together with intravenous tigecycline. Conclusions: The case illustrates intraventricular polymyxin B can be a therapeutic option against extensively drug-resistant Acinetobacter baumannii ventriculitis.

Low Serum Levels of Brain-Derived Neurotrophic Factor Were Associated with Poor Short-Term Functional Outcome and Mortality in Acute Ischemic Stroke.

Circulating brain-derived neurotrophic factor (BDNF) has been highlighted as being a key regulator of rehabilitation-induced recovery after stroke. The aim of this study was to evaluate the association between serum levels of BDNF and functional outcome and mortality events in a 3-month follow-up study in a cohort of patients with an acute ischemic stroke (AIS). From January 2015 to December 2015, consecutive first-ever AIS patients admitted to the Department of Emergency of our hospital were identified. Serum BDNF levels were measured at admission. Functional outcome was evaluated at 3 months using the modified Rankin scale (m-Rankin). We used logistic regression models to assess the relationship between BDNF levels and functional outcome or mortality. In this study, 204 patients were included. Patients with poor outcomes and non-survivors had significantly lower BDNF levels on admission (P < 0.0001 all). Multivariate logistic regression analysis adjusted for common risk factors showed that BDNF levels in the lowest interquartile (≤1st 9.2 ng/ml) was an independent predictor of functional outcome (odds ratios [OR] = 3.75; 95 % confidence interval [CI], 2.43-8.12) and mortality (OR = 4.04; 95 % CI, 2.07-9.14). The area under the receiver operating characteristic curve of BDNF was 0.77 (95 % CI, 0.70-0.84) for functional outcome and 0.79 (95 % CI, 0.71-0.86) for mortality. The findings indicated that low serum levels of BDNF at admission were significantly associated with poor short-term functional outcome and mortality, suggesting that BDNF may serve as a biomarker of poor function outcome after stroke.

Surgical Evacuation of Spontaneous Supratentorial Lobar Intracerebral Hemorrhage: Comparison of Safety and Efficacy of Stereotactic Aspiration, Endoscopic Surgery, and Craniotomy.

BACKGROUND: The safety and efficacy of craniotomy, endoscopic surgery, and stereotactic aspiration for surgical evacuation of spontaneous supratentorial lobar intracerebral hemorrhage (ICH) is yet uncertain. The present study analyzed the clinical and radiographic data from 99 patients with spontaneous supratentorial lobar ICH, retrospectively, to address this issue. METHODS: Patients who underwent craniotomy, endoscopy surgery, or stereotactic aspiration were assigned to the craniotomy group (n = 31), endoscopy surgery group (n = 32), or stereotactic aspiration group (n = 36), respectively. The characteristics of all the enrolled patients at the time of admission were assimilated. Also, the therapeutic effects of the three surgical procedures were evaluated based on short-term outcomes within 30 days and long-term outcomes at 6 months after the ictus. RESULTS: The results showed that stereotactic aspiration and endoscopic surgery were associated with a superior clinical therapeutic effect in both short-term and long-term outcomes than craniotomy for the treatment of spontaneous supratentorial lobar ICH. Notably, severely affected patients with hematoma volume > 60 mL or Glasgow Coma Scale score 4-8 may benefit more from endoscopic surgery than the two other surgical procedures. CONCLUSIONS: The current findings demonstrate that both stereotactic aspiration and endoscopic surgery possess an apparent advantage over craniotomy for the evacuation of spontaneous supratentorial lobar ICH. The endoscopic surgery might be more safe and effective with higher evacuation rate, better functional neurological outcomes, and lower complication and mortality rates.