Managing medically refractory elevated intracranial pressure in a pediatric patient on ECMO: illustrative case.

PURPOSE: We demonstrate the complexities of managing pediatric patients on extracorporeal membrane oxygenation (ECMO) therapy requiring neurosurgery, focusing on systemic anticoagulation, cardiac function, and medically refractory intracranial pressure (ICP). METHODS: A 3.5-year-old female with Tetralogy of Fallot developed severe ischemic cerebral edema following post-operative cardiac arrest and required ECMO. This case, along with four additional cases of children requiring neurosurgery while on ECMO, was examined. RESULTS: Emergency neurosurgical intervention in the primary case led to significant improvement, highlighting the delicate balance between managing ECMO-induced anticoagulation and urgent neurosurgical needs. The additional cases had variable outcomes, emphasizing the challenges of caring for these critically ill patients. CONCLUSION: Successful management of children requiring ECMO support and neurosurgical intervention requires thoughtful multidisciplinary care. This report illustrates some of the nuances in such decision-making, and demonstrates one potential path to a good outcome.

Antithrombotics alter intracerebral hemorrhage presentation without affecting minimally invasive endoscopic evacuation.

OBJECTIVES: Intracerebral hemorrhages are associated with significant morbidity and mortality. While the ENRICH trial supports the efficacy of surgical evacuation for lobar hemorrhages, the impact of antithrombotic therapies on minimally invasive surgery outcomes remains unexplored. This study evaluates the effects of chronic anticoagulants and antiplatelets on the technical and longterm outcomes of minimally invasive intracerebral hemorrhage evacuation. MATERIALS AND METHODS: A prospectively collected registry of patients undergoing minimally invasive surgery for intracerebral hemorrhage from a single institution was analyzed (December 2015-September 2022). Data included key demographics, comorbidities, antithrombotic/reversal status, presenting clinical/radiographic characteristics, procedural metrics, and clinical outcomes. Patients were divided into control (neither therapy), antiplatelet-only, and anticoagulant-only groups, with antiplatelet/anticoagulant reversals conducted per current American Heart Association/American Stroke Association guidelines. Variables significant in univariate analyses (p<0.05) were advanced to multivariable regression models. RESULTS: Among 226 intracerebral hemorrhage patients treated with minimally invasive surgery, 41% (N=93) had antithrombotic medication history; 28% (N=64) received antiplatelets, and 9% (N=21) received anticoagulants. Patients on both therapies (N=6) were excluded. The antiplatelet group presented more frequently with lobar hemorrhages (56% vs. 37%; p=0.022), while patients on anticoagulants showed increased rates of intraventricular hemorrhage co-presentation (62% vs. 46%; p=0.011) compared to controls. Despite univariate analyses showing a higher postoperative hematoma volume (3.9 vs. 2.9 milliliters; p=0.020) and lower evacuation percentage (88% vs. 92%; p=0.019) for the antiplatelet group, and longer procedures for patients on anticoagulants (2.3 vs. 1.7 hours; p=0.042) compared to control, multivariable analyses indicated that antiplatelets and anticoagulants had no significant impact on these technical outcomes. Longitudinally, antithrombotics were not associated with increased rebleeding, less frequent discharge to home, lower 30-day mortality, or worse, 6-month Modified Rankin Scale scores. CONCLUSIONS: Patients on chronic antiplatelets and anticoagulants exhibited characteristic intracerebral hemorrhage phenotypes without worse technical or long-term outcomes after minimally invasive intracerebral hemorrhage evacuation, suggesting the procedure's safety for these patients.

What is the cognitive footprint of insular glioma?

Cognitive impairment has a profound deleterious impact on long-term outcomes of glioma surgery. The human insula, a deep cortical structure covered by the operculum, plays a role in a wide range of cognitive functions including interceptive thoughts and salience processing. Both low-grade (LGG) and high-grade gliomas (HGG) involve the insula, representing up to 25% of LGG and 10% of HGG. Surgical series from the past 30 years support the role of primary cytoreductive surgery for insular glioma patients; however, reported cognitive outcomes are often limited to speech and language function. The breath of recent neuroscience literature demonstrates that the insula plays a broader role in cognition including interoceptive thoughts and salience processing. This article summarizes the vast functional role of the healthy human insula highlighting how this knowledge can be leveraged to improve the care of patients with insular gliomas.

Effects of hours of sleep on ImPACT concussion testing: comparing baseline with postinjury scores.

OBJECTIVE: The influence of sleep on baseline and postconcussion neurocognitive performance prior to Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) is poorly understood. Since ImPACT is widely used in youth sport to assess neurocognitive performance before and after head injury, it is important to delineate factors that affect testing performance. While some have reported correlations between fewer hours of sleep and lower scores on baseline tests, others have not observed any such associations. Therefore, the authors sought to compare the relationship between sleep and neurocognitive performance on ImPACT at both baseline and postinjury. METHODS: The authors queried a database of 25,815 ImPACT tests taken from 2009 to 2019 by athletes aged 12-22 years. There were 11,564 baseline concussion tests and 7446 postinjury concussion ImPACT tests used in the analysis. Linear regression was used to model the effect of sleep on baseline and postconcussion ImPACT scores adjusting for sex, age, learning disability, attention-deficit/hyperactivity disorder, number of prior concussions, number of games missed, and strenuous exercise before testing. RESULTS: Mean composite scores expectedly were all significantly lower in the post-head injury group compared with the baseline group. In the multivariable analysis, at baseline, hours of sleep significantly affected symptom scores (ß = -1.050, 95% CI -1.187 to -0.9138; p < 0.0001). In the postinjury multivariable analysis, verbal memory (ß = 0.4595, 95% CI 0.2080-0.7110; p = 0.0003), visual memory (ß = 0.3111, 95% CI 0.04463-0.5777; p = 0.0221), impulse control (ß = -0.2321, 95% CI -0.3581 to -0.1062; p = 0.0003), and symptom scores (ß = -0.9168, 95% CI -1.259 to -0.5750; p < 0.0001) were all affected by hours of sleep. CONCLUSIONS: Hours of sleep did not alter neurocognitive metrics at baseline but did have an impact on post-head injury metrics. These findings suggest that individuals may be able to compensate for lack of sleep at baseline but not immediately after concussion. Concussions may reduce cognitive reserve or detract from the brain's resources, making sleep even more important for proper neurocognitive functioning postconcussion. Future work will analyze the effects of sleep on postconcussion test performance.

Return to play after head injury in adolescent sports: evaluating football versus other sports.

OBJECTIVE: Increased adolescent sports participation has raised concerns about higher rates of concussions, a prevalent injury among young athletes with potential long-term effects. Discrepancies in concussion recovery and management protocols across various sports underscore a critical issue in youth athletics. This study aimed to examine the relationship between sport type and the number of games missed following a concussion to inform targeted management strategies. METHODS: Data from 7445 postinjury ImPACT tests for athletes aged 12-22 years, collected from 2009 to 2019, were analyzed across different sports: baseball, basketball, cheerleading, football, ice hockey, lacrosse, soccer, softball, swimming, track and field, volleyball, and wrestling. The number of days and normalized missed games (NMG), a metric accounting for the different number of games in a season for different sports, were used to evaluate the effect of concussions across different sports. ANOVA, t-tests, and linear regression analyses were performed to model the effect of sport type on games missed in a season while controlling for sex, age, concussion history, diagnosed learning disability (DLD), and attention-deficit/hyperactivity disorder (ADHD). RESULTS: Multivariable linear regression analysis demonstrated that football participation significantly increased NMG (ß 1.681, 95% CI 0.807-2.554; p < 0.001) and days missed (ß 1.637, 95% CI 1.044-2.231; p < 0.001) after head injury. Concussion diagnoses were also found to significantly increase NMG (ß 2.344, 95% CI 1.629-3.059; p < 0.001) and days missed (ß 1.560, 95% CI 1.074-2.045; p < 0.001), as well as history of prior concussion (NMG: ß 7.791, 95% CI 7.368-8.215; p < 0.001; days missed: ß 5.232, 95% CI 4.945-5.520; p < 0.001). In contrast, factors such as age, sex, DLD, ADHD, and concussions causing loss of consciousness did not significantly affect NMG or days missed. ANOVA with Tukey Honest Significant Difference indicated that compared with football, ice hockey (mean difference [MD] 5.4 days, p = 0.011) and track and field (MD 4.1 days, p = 0.006) were associated with significantly more days being missed after head injury. Conversely, basketball (MD -3.0, p < 0.001) and volleyball (MD -2.6, p = 0.005) were associated with fewer missed games. CONCLUSIONS: Adolescents playing football missed fewer days and games after concussion than other contact and noncontact sports, including ice hockey and track and field, raising questions about variations in return-to-play protocols and cultural attitudes within sports. Further research is needed to determine the factors affecting games missed across sport types in adolescent athletics and return-to-play protocols.

Bibliometric and trend analysis of the top 100 most-cited articles on lateral interbody fusion (LIF).

PURPOSE: Lateral interbody fusion (LIF) is an increasingly popular minimally-invasive spine procedure. This study identifies notable trends in LIF literature and provides a detailed review of the bibliometric aspects of the top 100 most-cited articles. METHODS: Articles were queried from the Web of Science database. Inclusion criteria consisted of peer-reviewed articles, full-text availability, and LIF focus. Network analysis including co-authorship mapping and bibliographic coupling were complemented by trend analysis to determine prominent contributors and themes. Analyses were conducted using VOSviewer and Bibliometrix (RStudio). RESULTS: There has been a rapid increase in LIF publication and citation count since 1998. Leading journals were Spine (n = 24), Journal of Neurosurgery Spine (n = 22), and European Spine Journal (n = 12). NuVasive funded the most publications (n = 17), followed by DePuy Synthes Spine (n = 4). The United States was the most represented country (n = 81); however, trend analysis suggests a steadily growing international contribution. The most prolific author was J.S. Uribe (n = 16), followed by a tie in second place by E. Dakwar and L. Pimenta (n = 8). The most frequent keywords, "complication" (n = 34), "surgery" (n = 30), and "outcomes" (n = 24), demonstrated a patient-centric theme. CONCLUSIONS: This bibliometric analysis provides in-depth insights into the evolution and trends of LIF over the last two decades. The trends and themes identified demonstrate the innovative, collaborative, and patient-focused characteristics of this subfield. Future researchers can use this as a foundation for understanding the past and present state of LIF research while designing investigations.

The Top 100 Cited Articles on Cervical Disc Arthroplasty: A Bibliometric Analysis.

STUDY DESIGN: Bibliometric analysis. OBJECTIVE: Cervical disc arthroplasty (CDA) has emerged as an effective surgical intervention for degenerative cervical disc disease with potential advantages over traditional cervical fusion. This bibliometric analysis aimed to assess the current state of research on CDA by analyzing the relevant literature using bibliometric indicators. SUMMARY OF BACKGROUND DATA: Web of Science Core Collection. METHODS: A comprehensive search was conducted using the Web of Science database, for articles related to CDA published in the last 19 years. The top 100 articles were reviewed using bibliometric analysis. Publication trends, citation patterns, authorship, and collaboration networks were analyzed using VOSviewer and the Bibliometrix package in RStudio. RESULTS: The results revealed a significant increase in the number of publications related to CDA over the past 2 decades, with most of the articles being published in orthopedic and spine surgery journals. The most frequently cited articles were related to clinical outcomes, complications, and biomechanical studies of CDA. Co-authorship analysis identified influential authors and collaborative networks, highlighting the multidisciplinary nature of CDA research involving neurosurgeons, orthopedic surgeons, and engineers. Overall, this bibliometric analysis provides a comprehensive overview of the current state of research on CDA, highlighting the key research themes, influential authors, and collaborative networks in the field. CONCLUSION: These findings can serve as a guide for researchers, clinicians, and policymakers to identify knowledge gaps, research trends, and future directions in the field of CDA.

The 100 Top-Cited Articles on Robotic Neurosurgery: A Bibliometric Analysis.

BACKGROUND: Robotic neurosurgery is a rapidly advancing field with numerous applications in various subspecialties, including spine, functional, skull base, and cerebrovascular. This study aims to provide a comprehensive analysis of the most-cited articles on robotic neurosurgery. METHODS: The Web of Science database was used to collect data, and bibliometric analysis was performed using VOSviewer and RStudio. Network analysis techniques such as co-occurrence, coauthorship, bibliographic coupling, and thematic mapping analyses were used to identify the top 100 most cited articles, major contributors, emerging trends, and noteworthy themes in the field. RESULTS: The results showed that there has been a steady increase in the number of publications on robotic neurosurgery since 1991, with an exponential growth in the number of citations. The United States was the most common country of origin for articles, followed by Canada. The most productive authors in this field were Burton S.A. and Gerszten P.C., while the University of Pittsburgh was the most productive institution, and Neurosurgery was the most productive journal. Themes such as robotics, back pain, and prostate cancer, as well as trends in developing new technologies and improving the precision of surgical procedures, were identified. CONCLUSIONS: This study provides a comprehensive analysis of the most-cited articles on robotic neurosurgery. The broad range of topics and techniques explored emphasize the importance of continued innovation and investigation. Ultimately, the study's findings provide valuable guidance for future research and contribute to advancing our understanding of this critical area of study.

Second Generation Nanoporous Silicon Nitride Membranes for High Toxin Clearance and Small Format Hemodialysis.

Conventional hemodialysis (HD) uses floor-standing instruments and bulky dialysis cartridges containing ≈2 m2 of 10 micrometer thick, tortuous-path membranes. Portable and wearable HD systems can improve outcomes for patients with end-stage renal disease by facilitating more frequent, longer dialysis at home, providing more physiological toxin clearance. Developing devices with these benefits requires highly efficient membranes to clear clinically relevant toxins in small formats. Here, the ability of ultrathin (<100 nm) silicon-nitride-based membranes to reduce the membrane area required to clear toxins by orders of magnitude is shown. Advanced fabrication methods are introduced that produce nanoporous silicon nitride membranes (NPN-O) that are two times stronger than the original nanoporous nitride materials (NPN) and feature pore sizes appropriate for middle-weight serum toxin removal. Single-pass benchtop studies with NPN-O (1.4 mm2 ) demonstrate the extraordinary clearance potential of these membranes (105 mL min-1 m-2 ), and their intrinsic hemocompatibility. Results of benchtop studies with nanomembranes, and 4 h dialysis of uremic rats, indicate that NPN-O can reduce the membrane area required for hemodialysis by two orders of magnitude, suggesting the performance and robustness needed to enable small-format hemodialysis, a milestone in the development of small-format hemodialysis systems.

Correction to: Mechanical and functional validation of a perfused, robot-assisted partial nephrectomy simulation platform using a combination of 3D printing and hydrogel casting.

The Eqs. 1, 2 and 3 come under the section "Kidney cortex testing" as per the original manuscript, but they have been incorrectly moved and separated into different sections in the original publication of the article.

Incorporation and validation of clinically relevant performance metrics of simulation (CRPMS) into a novel full-immersion simulation platform for nerve-sparing robot-assisted radical prostatectomy (NS-RARP) utilizing three-dimensional printing and hydrogel casting technology.

OBJECTIVES: To incorporate and validate clinically relevant performance metrics of simulation (CRPMS) into a hydrogel model for nerve-sparing robot-assisted radical prostatectomy (NS-RARP). MATERIALS AND METHODS: Anatomically accurate models of the human pelvis, bladder, prostate, urethra, neurovascular bundle (NVB) and relevant adjacent structures were created from patient MRI by injecting polyvinyl alcohol (PVA) hydrogels into three-dimensionally printed injection molds. The following steps of NS-RARP were simulated: bladder neck dissection; seminal vesicle mobilization; NVB dissection; and urethrovesical anastomosis (UVA). Five experts (caseload >500) and nine novices (caseload <50) completed the simulation. Force applied to the NVB during the dissection was quantified by a novel tension wire sensor system fabricated into the NVB. Post-simulation margin status (assessed by induction of chemiluminescent reaction with fluorescent dye mixed into the prostate PVA) and UVA weathertightness (via a standard 180-mL leak test) were also assessed. Objective scoring, using Global Evaluative Assessment of Robotic Skills (GEARS) and Robotic Anastomosis Competency Evaluation (RACE), was performed by two blinded surgeons. GEARS scores were correlated with forces applied to the NVB, and RACE scores were correlated with UVA leak rates. RESULTS: The expert group achieved faster task-specific times for nerve-sparing (P = 0.007) and superior surgical margin results (P = 0.011). Nerve forces applied were significantly lower for the expert group with regard to maximum force (P = 0.011), average force (P = 0.011), peak frequency (P = 0.027) and total energy (P = 0.003). Higher force sensitivity (subcategory of GEARS score) and total GEARS score correlated with lower nerve forces (total energy in Joules) applied to NVB during the simulation with a correlation coefficient (r value) of -0.66 (P = 0.019) and -0.87 (P = 0.000), respectively. Both total and force sensitivity GEARS scores were significantly higher in the expert group compared to the novice group (P = 0.003). UVA leak rate highly correlated with total RACE score r value = -0.86 (P = 0.000). Mean RACE scores were also significantly different between novices and experts (P = 0.003). CONCLUSION: We present a realistic, feedback-driven, full-immersion simulation platform for the development and evaluation of surgical skills pertinent to NS-RARP. The correlation of validated objective metrics (GEARS and RACE) with our CRPMS suggests their application as a novel method for real-time assessment and feedback during robotic surgery training. Further work is required to assess the ability to predict live surgical outcomes.

Mechanical and functional validation of a perfused, robot-assisted partial nephrectomy simulation platform using a combination of 3D printing and hydrogel casting.

INTRODUCTION AND OBJECTIVES: There is a scarcity of high-fidelity, life-like, standardized and anatomically correct polymer-based kidney models for robot-assisted partial nephrectomy (RAPN) simulation training. The purpose of this technical report is to present mechanical and functional testing data as evidence for utilizing a perfused hydrogel kidney model created utilizing 3D printed injection casts for RAPN simulation and training. METHODS: Anatomically correct, tumor-laden kidney models were created from 3D-printed casts designed from a patient's CT scan and injected with poly-vinyl alcohol (PVA). A variety of testing methods quantified Young's modulus in addition to comparing the functional effects of bleeding and suturing among fresh porcine kidneys and various formulations of PVA kidneys. RESULTS: 7% PVA at three freeze-thaw cycles (7%-3FT) was found to be the formula that best replicates the mechanical properties of fresh porcine kidney tissue, where mean(± SD) values of Young's modulus of porcine tissue vs 7%-3FT samples were calculated to be 85.97(± 35) kPa vs 80.97(± 9.05) kPa, 15.7(± 1.6) kPa vs 74.56(± 10) kPa and 87.46(± 2.97) kPa vs 83.4(± 0.7) kPa for unconfined compression, indentation and elastography testing, respectively. No significant difference was seen in mean suture tension during renorrhaphy necessary to achieve observable hemostasis and capsular violation during a simulated perfusion at 120 mmHg. CONCLUSIONS: This is the first study to utilize extensive material testing analyses to determine the mechanical and functional properties of a perfused, inanimate simulation platform for RAPN, fabricated using a combination of image segmentation, 3D printing and PVA casting.