Epidemiology and Management Trends of Neuro-Oncology in Nigeria: A Systematic Review and Pooled Analysis.

OBJECTIVE: Access to neuro-oncologic care in Nigeria has grown exponentially since the first reported cases in the mid-1960s. In this systematic review and pooled analysis, we characterize the growth of neurosurgical oncology in Nigeria and build a reference paper to direct efforts to expand this field. METHODS: We performed an initial literature search of several article databases and gray literature sources. We included and subsequently screened articles published between 1962 and 2021. Several variables were extracted from each study, including the affiliated hospital, the number of patients treated, patient sex, tumor pathology, the types of imaging modalities used for diagnosis, and the interventions used for each individual. Change in these variables was assessed using Chi-squared independence tests and univariate linear regression when appropriate. RESULTS: A total of 147 studies were identified, corresponding to 5,760 patients. Over 4000 cases were reported in the past 2 decades from 21 different Nigerian institutions. The types of tumors reported have increased over time, with increasingly more patients being evaluated via computed tomography (CT) and magnetic resonance imaging (MRI). There is also a prevalent use of radiotherapy, though chemotherapy remains an underreported treatment modality. CONCLUSIONS: This study highlights key trends regarding the prevalence and management of neuro-oncologic pathologies within Nigeria. Further studies are needed to continue to learn and guide the future growth of this field in Nigeria.

Neurosurgical Practice, Training, and Research Capacity Assessment in Nigeria: A Methodological Approach.

OBJECTIVE: There has been a progressive growth of neurosurgery in Nigeria over the past 6 nulldecades. This study aims to comprehensively evaluate the state of neurosurgical practice, training, and research in the country. METHODS: We used a mixed-methods approach that combined a survey of neurosurgery providers and a systematic review of the neurosurgical literature in Nigeria. The 83-question online survey had 3 core sections for assessing capacity, training, and gender issues. The systematic review involved a search of 4 global databases and gray literature over a 60-year period. RESULTS: One hundred and forty-nine respondents (95% male) completed the survey (65.4%). Their age ranged from 20 to 68 years, with a mean of 41.8 (±6.9) years. Majority were from institutions in the nation's South-West region; 82 (55.0%) had completed neurosurgery residency training, with 76 (51%) employed as consultants; 64 (43%) identified as residents in training, 56 (37.6%) being senior residents, and 15 (10.1%) each held academic appointments as lecturers or senior lecturers. The literature review involved 1,023 peer-reviewed journal publications: 254 articles yielding data on 45,763 neurotrauma patients, 196 on 12,295 pediatric neurosurgery patients, and 127 on 8,425 spinal neurosurgery patients. Additionally, 147 papers provided data on 5,760 neuro-oncology patients, and 56 on 3,203 patients with neuro-vascular lesions. CONCLUSIONS: Our mixed-methods approach provided significant insights into the historical, contemporary, and future trends of neurosurgery in Nigeria. The results could form the foundation for policy improvement; health-system strengthening; better resource-planning, prioritization, and allocation; and more purposive collaborative engagement in Nigeria and other low- and middle-income countries.

Management and outcomes of pediatric traumatic brain injury in Africa: a systematic review.

OBJECTIVE: Traumatic brain injury (TBI) carries a major global burden of disease; however, it is well established that patients in low- and middle-income countries, such as those in Africa, have higher mortality rates. Pediatric TBI, specifically, is a documented cause for concern as injuries to the developing brain have been shown to lead to cognitive, psychosocial, and motor problems in adulthood. The purpose of this study was to investigate the reported demographics, causes, management, and outcomes of pediatric TBI in Africa. METHODS: A literature search was conducted using PubMed, Global Index Medicus, Embase, Scopus, Google Scholar, African Journals Online, and Web of Science. Various combinations of "traumatic brain injury," "head injury," "p(a)ediatric," "Africa," and country names were used. Relevant primary data published in the English language were included and subjected to a risk of bias analysis. Variables included age, sex, TBI severity, TBI cause, imaging findings, treatment, complications, and outcome. RESULTS: After screening, 45 articles comprising 11,635 patients were included. The mean patient age was 6.48 ± 2.13 years, and 66.3% of patients were male. Of patients with reported data, mild, moderate, and severe TBIs were reported in 57.6%, 14.5%, and 27.9% of patients, respectively. Road traffic accidents were the most reported cause of pediatric TBI (50.53%) followed by falls (25.18%). Skull fractures and intracerebral contusions were the most reported imaging findings (28.32% and 16.77%, respectively). The most reported symptoms included loss of consciousness (24.4%) and motor deficits (17.1%). Surgical management was reported in 28.66% of patients, with craniotomy being the most commonly reported procedure (15.04%). Good recovery (Glasgow Outcome Scale score 5, Glasgow Outcome Scale-Extended score 7-8) was reported in 47.17% of patients. Examination of the period post-2015 demonstrated increased spread in the literature regarding pediatric TBI in Africa. CONCLUSIONS: This study provides a comprehensive overview of the literature regarding pediatric TBI in Africa and how it has evolved alongside global neurosurgical efforts. Although there has been increased involvement from various African countries in the neurosurgical literature, there remains a relative paucity of data on this subject. Standardized reporting protocols for patient care may aid in future studies seeking to synthesize data. Finally, further studies should seek to correlate the trends seen in this study, with primary epidemiological data to gain deeper insight into the disease burden of pediatric TBI in Africa.

Osteoimmunology: Interactions With the Immune System in Spinal Fusion.

Spinal fusion is important for the clinical success of patients undergoing surgery, and the immune system plays an increasingly recognized role. Osteoimmunology is the study of the interactions between the immune system and bone. Inflammation impacts the osteogenic, osteoconductive, and osteoinductive properties of bone grafts and substitutes and ultimately influences the success of spinal fusion. Macrophages have emerged as important cells for coordinating the immune response following spinal fusion surgery, and macrophage-derived cytokines impact each phase of bone graft healing. This review explores the cellular and molecular immune processes that regulate bone homeostasis and healing during spinal fusion.

The scope, trends, and challenges of neurosurgical research in Nigeria: A bibliometric review.

OBJECTIVE: This study investigates the scope, trends, and challenges of neurosurgical research in Nigeria since inception of the specialty in 1962. METHODS: A bibliometric review of the neurosurgical literature from Nigeria was done. Variables extracted included year and journal of publication, article topic, article type, research type, study design, article focus area, and limitations. Descriptive and quantitative analyses were performed for all variables. Trends of research publications were described in three periods - pioneering (1962-1981), recession (1982-2001), and resurgent (2002-2021). RESULTS: Of the 1023 included articles, 10.0% were published in the pioneering period, 9.2% in the recession period, and 80.8% in the resurgent period. Papers were predominantly published in World Neurosurgery (4.5%) and Nigerian Journal of Clinical Practice ( 4.0%). 79.9% of the 4618 authors were from Nigerian institutions. 86.3% of the articles covered clinical research and were mainly focused on service delivery and epidemiology (89.9%). The most prominent topics were traumatic brain injury (25.8%) and CNS malignancy (21.4%). Only 4.4% of the publications received funding, mostly from agencies in the US (31.7%). Barriers to neurosurgical research included lack of clinical databases (18.0%), increasing burden of disease (12.5%), and diagnostic challenges (12.4%). CONCLUSION: Neurosurgical research in Nigeria continues to grow due to increased training, workforce, and infrastructural improvements. Addressing the major challenges through establishment of research databases, development of evidence-based management guidelines, and increasing research training, funding and opportunities can increase research capacity in Nigeria.

Clinical and Radiographic Outcomes for Patients with Cervical Adjacent Segment Disease Treated with Anterior Cervical Discectomy and Fusion with Integrated Interbody Spacers.

INTRODUCTION: Anterior cervical discectomy and fusion (ACDF) is among the most common spine procedures. Adjacent segment disease (ASD), characterized by degenerative disease at an adjacent spinal level to a prior fusion, is a well-recognized and significant sequela following ACDF. Adjacent segment ACDF may be considered after the failure of non-surgical options for patients with symptomatic ASD. This study aimed to assess the incidence of dysphagia and other complications as well as radiographic outcomes in adult patients who have undergone ACDF with an integrated interbody spacer device for symptomatic ASD. METHODS: This was a retrospective review of patients who underwent ACDF for symptomatic ASD with commercially available integrated interbody spacers by three spine surgeons at an academic institution from March 2018 to April 2022. Demographic, radiographic, and postoperative data were collected, including dysphagia, device-related complications, and the need for revision surgery. RESULTS: There were 48 patients (26 male, 22 female) who met inclusion criteria (mean age 59.7 years, mean body mass index 19.5 kg/m2) who underwent ACDF for symptomatic ASD (1one-level, n = 44; 2-level, n = 4). Overall, 12 patients (25%) experienced dysphagia postoperatively before the first follow-up appointment. Nine of 44 (20.4%) of 1-level ACDF patients experienced dysphagia, and 3 of 4 (75%) of 2-level ACDF patients experienced dysphagia. Three patients had severe dysphagia which prompted an otolaryngology referral. Two of those patients remained symptomatic at 6 weeks postoperatively. Of 43 patients with prior plate cage systems, none required hardware removal at the time of surgery. Preoperative global and segmental lordosis were 9.07° ± 8.36° (P = 0.22) and 3.58° ± 4.57° (P = 0.14), respectively. At 6 weeks postoperatively, global and segmental lordosis were 11.44° ± 9.06° (P = 0.54) and 5.11° ± 4.44° (P = 0.44), respectively. This constitutes a change of +2.37° and +1.53° in global and segmental lordosis, respectively. The mean anterior disc height change between preoperative and immediate postoperative time points was 6.3 ± 3.1 mm. Between the immediate postoperative and 6-week postoperative time points, the mean anterior disc height change was -1.5 ± 2.7 mm. Between the immediate postoperative and 3-month postoperative time points, the mean anterior disc height change was -3.7 ± 5.0 mm. The posterior disc height changes at the same time points were 2.5 ± 1.7 mm, -0.4 ± 1.8. and -0.5 ± 1.4 mm, respectively. This fusion rate was 50% and 70% at 6 months and 1 year post-surgery, respectively. CONCLUSIONS: ACDF with integrated spacer is a viable alternative to traditional plate-cage systems for symptomatic ASD. An advantage over traditional plate-cage systems is that the removal of prior instrumentation is not needed in order to place implants. Based on a review of the literature, these standalone systems allowed for a shorter operative time and had less incidence of dysphagia than plate-cage systems for ASD after ACDF. The different standalone and plate-cage systems used in treating ASD after ACDF surgeries should be compared in prospective studies.

Demographics, referral patterns, and outcome of patients with neural tube defects in southwestern Uganda.

OBJECTIVE: In Uganda, the burden of neural tube defects (NTDs) poses a serious neurosurgical and public health challenge; however, published data on this patient population are lacking. The authors sought to characterize the population of patients with NTDs, maternal characteristics, and referral patterns of these patients, and to quantify the burden of NTDs in southwestern Uganda. METHODS: A retrospective neurosurgical database at a referral hospital was reviewed to identify all patients with NTDs treated between August 2016 and May 2022. Descriptive statistics were used to characterize the patient population and maternal risk factors. A Wilcoxon rank-sum test and chi-square test were used to determine the association between demographic variables and patient mortality. RESULTS: A total of 235 patients were identified (121 male, 52%). The median age at presentation was 2 days (IQR 1-8 days). A total of 87% of patients with NTDs presented with spina bifida (n = 204) and 31 presented with encephalocele (13%). The most common location of dysraphism was lumbosacral (n = 180, 88%). Of all patients, 80% were delivered vaginally (n = 188). Overall, 67% of patients were discharged (n = 156) and 10% died (n = 23). The median length of stay was 12 days (IQR 7-19 days). The median maternal age was 26 years (IQR 22-30 years). The majority of mothers received only primary education (n = 100, 43%). The majority of mothers reported prenatal folate use (n = 158, 67%) and regular antenatal care (n = 220, 94%), although only 23% underwent an antenatal ultrasound (n = 55). Mortality was associated with younger age at presentation (p = 0.01), need for blood transfusion (p = 0.016) and oxygen supplementation (p < 0.001), and maternal education level (p = 0.001). CONCLUSIONS: To the authors' knowledge, this is the first study to describe the population of patients with NTDs and their mothers in southwestern Uganda. A prospective case-control study is necessary to identify unique demographic and genetic risk factors associated with NTDs in this region.

Quantifying the Opportunity Cost of Neurosurgical Resident Education.

BACKGROUND/OBJECTIVE: Education is at the core of neurosurgical residency, but little research in to the cost of neurosurgical education exists. This study aimed to quantify costs of resident education in an academic neurosurgery program using traditional teaching methods and the Surgical Autonomy Program (SAP), a structured training program. METHODS: SAP assesses autonomy by categorizing cases into zones of proximal development (opening, exposure, key section, and closing). All first-time, 1-level to 4-level anterior cervical discectomy and fusion (ACDF) cases between March 2014 and March 2022 from 1 attending surgeon were divided into 3 groups: independent cases, cases with traditional resident teaching, and cases with SAP teaching. Surgical times for all cases were collected and compared within levels of surgery between groups. RESULTS: The study found 2140 ACDF cases, with 1758 independent, 223 with traditional teaching, and 159 with SAP. For 1-level to 4-level ACDFs, teaching took longer than it did with independent cases, with SAP teaching adding additional time. A 1-level ACDF performed with a resident (100.1 ± 24.3 minutes) took about as long as a 3-level ACDF performed independently (97.1 ± 8.9 minutes). The average time for 2-level cases was 72.0 ± 18.2 minutes independently, 121.7 ± 33.7 minutes traditional, and 143.4 ± 34.9 minutes SAP, with significant differences among all groups. CONCLUSIONS: Teaching takes significant time compared with operating independently. There is also a financial cost to educating residents, because operating room time is expensive. Because attending neurosurgeons lose time to perform more surgeries when teaching residents, there is a need to acknowledge surgeons who devote time to training the next generation of neurosurgeons.

Outcomes With a Mobile Digital Health Platform for Patients Undergoing Spine Surgery: Retrospective Analysis.

BACKGROUND: Digital health solutions have been shown to enhance outcomes for individuals with chronic medical illnesses, but few have been validated for surgical patients. The digital health platform ManageMySurgery (MMS) has been validated for spine surgery as a feasible method for patients along their surgical journey through in-app education and completion of patient-reported outcomes surveys. OBJECTIVE: The aim of this study is to determine the rates of 90-day emergency room (ER) visits, readmissions, and complications in patients undergoing spine surgery using MMS compared to patients using traditional perioperative care alone. METHODS: Patients undergoing spine surgery at a US-based academic hospital were invited to use MMS perioperatively between December 2017 and September 2021. All patients received standard perioperative care and were classified as MMS users if they logged into the app. Demographic information and 90-day outcomes were acquired via electronic health record review. The odds ratios of having 90-day ER visits, readmissions, mild complications, and severe complications between the MMS and non-MMS groups were estimated using logistic regression models. RESULTS: A total of 1015 patients were invited, with 679 using MMS. MMS users and nonusers had similar demographics: the average ages were 57.9 (SD 12.5) years and 61.5 (SD 12.7) years, 54.1% (367/679) and 47.3% (159/336) were male, and 90.1% (612/679) and 88.7% (298/336) had commercial or Medicare insurance, respectively. Cervical fusions (559/1015, 55.07%) and single-approach lumbar fusions (231/1015, 22.76%) were the most common procedures for all patients. MMS users had a lower 90-day readmission rate (55/679, 8.1%) than did nonusers (30/336, 8.9%). Mild complications (MMS: 56/679, 8.3%; non-MMS: 32/336, 9.5%) and severe complications (MMS: 66/679, 9.7%; non-MMS: 43/336, 12.8%) were also lower in MMS users. MMS users had a lower 90-day ER visit rate (MMS: 62/679, 9.1%; non-MMS: 45/336, 13.4%). After adjustments were made for age and sex, the odds of having 90-day ER visits for MMS users were 32% lower than those for nonusers, but this difference was not statistically significant (odds ratio 0.68, 95% CI 0.45-1.02; P=.06). CONCLUSIONS: This is one of the first studies to show differences in acute outcomes for people undergoing spine surgery who use a digital health app. This study found a correlation between MMS use and fewer postsurgical ER visits in a large group of spine surgery patients. A planned randomized controlled trial will provide additional evidence of whether this digital health tool can be used as an intervention to improve patient outcomes.

Future Directions for Global Clinical Neurosurgical Training: Challenges and Opportunities.

OBJECTIVE: Expanded access to training opportunities is necessary to address 5 million essential neurosurgical cases not performed annually, nearly all in low- and middle-income countries. To target this critical neurosurgical workforce issue and advance positive collaborations, a summit (Global Neurosurgery 2019: A Practical Symposium) was designed to assemble stakeholders in global neurosurgical clinical education to discuss innovative platforms for clinical neurosurgery fellowships. METHODS: The Global Neurosurgery Education Summit was held in November 2021, with 30 presentations from directors and trainees in existing global neurosurgical clinical fellowships. Presenters were selected based on chain referral sampling from suggestions made primarily from young neurosurgeons in low- and middle-income countries. Presentations focused on the perspectives of hosts, local champions, and trainees on clinical global neurosurgery fellowships and virtual learning resources. This conference sought to identify factors for success in overcoming barriers to improving access, equity, throughput, and quality of clinical global neurosurgery fellowships. A preconference survey was disseminated to attendees. RESULTS: Presentations included in-country training courses, twinning programs, provision of surgical laboratories and resources, existing virtual educational resources, and virtual teaching technologies, with reference to their applicability to hybrid training fellowships. Virtual learning resources developed during the coronavirus disease 2019 pandemic and high-fidelity surgical simulators were presented, some for the first time to this audience. CONCLUSIONS: The summit provided a forum for discussion of challenges and opportunities for developing a collaborative consortium capable of designing a pilot program for efficient, sustainable, accessible, and affordable clinical neurosurgery fellowship models for the future.

Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array.

One-third of epilepsy patients suffer from medication-resistant seizures. While surgery to remove epileptogenic tissue helps some patients, 30-70% of patients continue to experience seizures following resection. Surgical outcomes may be improved with more accurate localization of epileptogenic tissue. We have previously developed novel thin-film, subdural electrode arrays with hundreds of microelectrodes over a 100-1000 mm2 area to enable high-resolution mapping of neural activity. Here, we used these high-density arrays to study microscale properties of human epileptiform activity. We performed intraoperative micro-electrocorticographic recordings in nine patients with epilepsy. In addition, we recorded from four patients with movement disorders undergoing deep brain stimulator implantation as non-epileptic controls. A board-certified epileptologist identified microseizures, which resembled electrographic seizures normally observed with clinical macroelectrodes. Recordings in epileptic patients had a significantly higher microseizure rate (2.01 events/min) than recordings in non-epileptic subjects (0.01 events/min; permutation test, P = 0.0068). Using spatial averaging to simulate recordings from larger electrode contacts, we found that the number of detected microseizures decreased rapidly with increasing contact diameter and decreasing contact density. In cases in which microseizures were spatially distributed across multiple channels, the approximate onset region was identified. Our results suggest that micro-electrocorticographic electrode arrays with a high density of contacts and large coverage are essential for capturing microseizures in epilepsy patients and may be beneficial for localizing epileptogenic tissue to plan surgery or target brain stimulation.

Corticosteroid Randomization after Significant Head Injury and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury Models Compared with a Machine Learning-Based Predictive Model from Tanzania.

Hospitals in low- and middle-income countries (LMICs) could benefit from decision support technologies to reduce time to triage, diagnosis, and surgery for patients with traumatic brain injury (TBI). Corticosteroid Randomization after Significant Head Injury (CRASH) and International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury (IMPACT) are robust examples of TBI prognostic models, although they have yet to be validated in Sub-Saharan Africa (SSA). Moreover, machine learning and improved data quality in LMICs provide an opportunity to develop context-specific, and potentially more accurate, prognostic models. We aim to externally validate CRASH and IMPACT on our TBI registry and compare their performances to that of the locally derived model (from the Kilimanjaro Christian Medical Center [KCMC]). We developed a machine learning-based prognostic model from a TBI registry collected at a regional referral hospital in Moshi, Tanzania. We also used the core CRASH and IMPACT online risk calculators to generate risk scores for each patient. We compared the discrimination (area under the curve [AUC]) and calibration before and after Platt scaling (Brier, Hosmer-Lemeshow Test, and calibration plots) for CRASH, IMPACT, and the KCMC model. The outcome of interest was unfavorable in-hospital outcome defined as a Glasgow Outcome Scale score of 1-3. There were 2972 patients included in the TBI registry, of whom 11% had an unfavorable outcome. The AUCs for the KCMC model, CRASH, and IMPACT were 0.919, 0.876, and 0.821, respectively. Prior to Platt scaling, CRASH was the best calibrated model (χ2 = 68.1) followed by IMPACT (χ2 = 380.9) and KCMC (χ2 = 1025.6). We provide the first SSA validation of the core CRASH and IMPACT models. The KCMC model had better discrimination than either of these. CRASH had the best calibration, although all model predictions could be successfully calibrated. The top performing models, KCMC and CRASH, were both developed using LMIC data, suggesting that locally derived models may outperform imported ones from different contexts of care. Further work is needed to externally validate the KCMC model.

Surgical intervention and patient factors associated with poor outcomes in patients with traumatic brain injury at a tertiary care hospital in Uganda.

OBJECTIVE: The purpose of this study was to investigate whether neurosurgical intervention for traumatic brain injury (TBI) is associated with reduced risks of death and clinical deterioration in a low-income country with a relatively high neurosurgical capacity. The authors further aimed to assess whether the association between surgical intervention and acute poor outcomes differs according to TBI severity and various patient factors. METHODS: Using TBI registry data collected from a national referral hospital in Uganda between July 2016 and April 2020, the authors performed Cox regression analyses of poor outcomes in admitted patients who did and did not undergo surgery for TBI, with surgery as a time-varying treatment variable. Patients were further stratified by TBI severity using the admission Glasgow Coma Scale (GCS) score: mild TBI (mTBI; GCS scores 13-15), moderate TBI (moTBI; GCS scores 9-12), and severe TBI (sTBI; GCS scores 3-8). Poor outcomes constituted Glasgow Outcome Scale scores 2-3, deterioration in TBI severity between admission and discharge (e.g., mTBI to sTBI), and death. Several clinical and demographic variables were included as covariates. Patients were observed for outcomes from admission through hospital day 10. RESULTS: Of 1544 patients included in the cohort, 369 (24%) had undergone surgery. Rates of poor outcomes were 4% (n = 13) for surgical patients and 12% (n = 144) among nonsurgical patients (n = 1175). Surgery was associated with a 59% reduction in the hazard for a poor outcome (HR 0.41, 95% CI 0.23-0.72). Age, pupillary nonreactivity, fall injury, and TBI severity at admission were significant covariates. In models stratifying by TBI severity at admission, patients with mTBI had an 80% reduction in the hazard for a poor outcome with surgery (HR 0.20, 95% CI 0.04-0.90), whereas those with sTBI had a 65% reduction (HR 0.35, 95% CI 0.14-0.89). Patients with moTBI had a statistically nonsignificant 56% reduction in hazard (HR 0.44, 95% CI 0.17-1.17). CONCLUSIONS: In this setting, the association between surgery and rates of poor outcomes varied with TBI severity and was influenced by several factors. Patients presenting with mTBI had the greatest reduction in the hazard for a poor outcome, followed by those presenting with sTBI. However, patients with moTBI had a nonsignificant reduction in the hazard, indicating greater variability in outcomes and underscoring the need for closer monitoring of this population. These results highlight the importance of accurate, timely clinical evaluation throughout a patient's admission and can inform decisions about whether and when to perform surgery for TBI when resources are limited.

The Legacy of Joseph A. Moylan, M.D.: "It's About Everyone Else".

The history of modern American surgery is marked by larger-than-life pioneers who have made transformative contributions to our field. These extraordinary individuals have been known primarily for their technical and clinical mastery, development of novel surgical procedures and techniques, extraordinary abilities in the education and training of surgeons, and/or innovative discoveries in biomedical science. While mastery in clinical surgery, education, and research have come to characterize the consummate academic surgeon, challenging social inequities of today now demand deeper engagement in another vital arena. This historical account is the story of a truly exceptional surgeon and visionary who spent much of his life leading that very charge. Early in his career, Dr. Joseph Moylan recognized and embraced this obligation to go beyond the walls of the hospital and out into the community to combat social factors leading to adverse outcomes for at-risk young men. His legacy itself represents a vehicle for empowering youth confronted with barriers to educational opportunities and experiences. Furthermore, recounting Joe's journey conveys the over-arching thesis that surgeons have the opportunity-and, indeed, are well positioned-to engage more deeply with their communities, to lead efforts to address social determinants at their roots and to create a pipeline of bright young scholars and potential future surgeons.

Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda.

Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these low-resource settings, effective triage of patients with TBI-including the decision of whether or not to perform neurosurgery-is critical in optimizing patient outcomes and healthcare resource utilization. Machine learning may allow for effective predictions of patient outcomes both with and without surgery. Data from patients with TBI was collected prospectively at Mulago National Referral Hospital in Kampala, Uganda, from 2016 to 2019. One linear and six non-linear machine learning models were designed to predict good versus poor outcome near hospital discharge and internally validated using nested five-fold cross-validation. The 13 predictors included clinical variables easily acquired on admission and whether or not the patient received surgery. Using an elastic-net regularized logistic regression model (GLMnet), with predictions calibrated using Platt scaling, the probability of poor outcome was calculated for each patient both with and without surgery (with the difference quantifying the "individual treatment effect," ITE). Relative ITE represents the percent reduction in chance of poor outcome, equaling this ITE divided by the probability of poor outcome with no surgery. Ultimately, 1766 patients were included. Areas under the receiver operating characteristic curve (AUROCs) ranged from 83.1% (single C5.0 ruleset) to 88.5% (random forest), with the GLMnet at 87.5%. The two variables promoting good outcomes in the GLMnet model were high Glasgow Coma Scale score and receiving surgery. For the subgroup not receiving surgery, the median relative ITE was 42.9% (interquartile range [IQR], 32.7% to 53.5%); similarly, in those receiving surgery, it was 43.2% (IQR, 32.9% to 54.3%). We provide the first machine learning-based model to predict TBI outcomes with and without surgery in LMICs, thus enabling more effective surgical decision making in the resource-limited setting. Predicted ITE similarity between surgical and non-surgical groups suggests that, currently, patients are not being chosen optimally for neurosurgical intervention. Our clinical decision aid has the potential to improve outcomes.

Long-term follow-up of neurosurgical outcomes for adult patients in Uganda with traumatic brain injury.

OBJECTIVE: Traumatic brain injury (TBI) is a major cause of mortality and morbidity in Uganda and other low- and middle-income countries (LMICs). Due to the difficulty of long-term in-person follow-up, there is a paucity of literature on longitudinal outcomes of TBI in LMICs. Using a scalable phone-centered survey, this study attempted to investigate factors associated with both mortality and quality of life in Ugandan patients with TBI. METHODS: A prospective registry of adult patients with TBI admitted to the neurosurgical ward at Mulago National Referral Hospital was assembled. Long-term follow-up was conducted between 10.4 and 30.5 months after discharge (median 18.6 months). Statistical analyses included univariable and multivariable logistic regression and Cox proportional hazards regression to elucidate factors associated with mortality and long-term recovery. RESULTS: A total of 1274 adult patients with TBI were included, of whom 302 (23.7%) died as inpatients. Patients who died as inpatients received surgery less frequently (p < 0.001), had more severe TBI at presentation (p < 0.001), were older (p < 0.001), and were more likely to be female (p < 0.0001). Patients presenting with TBI resulting from assault were at reduced risk of inpatient death compared with those presenting with TBI caused by road traffic accidents (OR 0.362, 95% CI 0.128-0.933). Inpatient mortality and postdischarge mortality prior to follow-up were 23.7% and 9%, respectively. Of those discharged, 60.8% were reached through phone interviews. Higher Glasgow Coma Scale score at discharge (continuous HR 0.71, 95% CI 0.53-0.94) was associated with improved long-term survival. Tracheostomy (HR 4.38, 95% CI 1.05-16.7) and older age (continuous HR 1.03, 95% CI 1.009-1.05) were associated with poor long-term outcomes. More than 15% of patients continued to suffer from TBI sequelae years after the initial injury, including seizures (6.1%) and depression (10.0%). Despite more than 60% of patients seeking follow-up healthcare visits, mortality was still 9% among discharged patients, suggesting a need for improved longitudinal care to monitor recovery progress. CONCLUSIONS: Inpatient and postdischarge mortality remain high following admission to Uganda's main tertiary hospital with the diagnosis of TBI. Furthermore, posttraumatic sequelae, including seizures and depression, continue to burden patients years after discharge. Effective scalable solutions, including phone interviews, are needed to elucidate and address factors limiting in-hospital capacity and access to follow-up healthcare.

Estimating prognosis for traumatic brain injury patients in a low-resource setting: how do providers compare to the CRASH risk calculator?

OBJECTIVE: Traumatic brain injury (TBI), a burgeoning global health concern, is one condition that could benefit from prognostic modeling. Risk stratification of TBI patients on presentation to a health facility can support the prudent use of limited resources. The CRASH (Corticosteroid Randomisation After Significant Head Injury) model is a well-established prognostic model developed to augment complex decision-making. The authors' current study objective was to better understand in-hospital decision-making for TBI patients and determine whether data from the CRASH risk calculator influenced provider assessment of prognosis. METHODS: The authors performed a choice experiment using a simulated TBI case. All participant doctors received the same case, which included a patient history, vitals, and physical examination findings. Half the participants also received the CRASH risk score. Participants were asked to estimate the patient prognosis and decide the best next treatment step. The authors recruited a convenience sample of 28 doctors involved in TBI care at both a regional and a national referral hospital in Uganda. RESULTS: For the simulated case, the CRASH risk scores for 14-day mortality and an unfavorable outcome at 6 months were 51.4% (95% CI 42.8%, 59.8%) and 89.8% (95% CI 86.0%, 92.6%), respectively. Overall, participants were overoptimistic when estimating the patient prognosis. Risk estimates by doctors provided with the CRASH risk score were closer to that score than estimates made by doctors in the control group; this effect was more pronounced for inexperienced doctors. Surgery was selected as the best next step by 86% of respondents. CONCLUSIONS: This study was a novel assessment of a TBI prognostic model's influence on provider estimation of risk in a low-resource setting. Exposure to CRASH risk score data reduced overoptimistic prognostication by doctors, particularly among inexperienced providers.

An evaluation of outcomes in patients with traumatic brain injury at a referral hospital in Tanzania: evidence from a survival analysis.

OBJECTIVE: The purpose of this study was to determine if patients with traumatic brain injury (TBI) in low- and middle-income countries who receive surgery have better outcomes than patients with TBI who do not receive surgery, and whether this differs with severity of injury. METHODS: The authors generated a series of Kaplan-Meier plots and performed multiple Cox proportional hazard models to assess the relationship between TBI surgery and TBI severity. The TBI severity was categorized using admission Glasgow Coma Scale scores: mild (14, 15), moderate (9-13), or severe (3-8). The authors investigated outcomes from admission to hospital day 14. The outcome considered was the Glasgow Outcome Scale-Extended, categorized as poor outcome (1-4) and good outcome (5-8). The authors used TBI registry data collected from 2013 to 2017 at a regional referral hospital in Tanzania. RESULTS: Of the final 2502 patients, 609 (24%) received surgery and 1893 (76%) did not receive surgery. There were significantly fewer road traffic injuries and more violent causes of injury in those receiving surgery. Those receiving surgery were also more likely to receive care in the ICU, to have a poor outcome, to have a moderate or severe TBI, and to stay in the hospital longer. The hazard ratio for patients with TBI who underwent operation versus those who did not was 0.17 (95% CI 0.06-0.49; p < 0.001) in patients with moderate TBI; 0.2 (95% CI 0.06-0.64; p = 0.01) for those with mild TBI, and 0.47 (95% CI 0.24-0.89; p = 0.02) for those with severe TBI. CONCLUSIONS: Those who received surgery for their TBI had a lower hazard for poor outcome than those who did not. Surgical intervention was associated with the greatest improvement in outcomes for moderate head injuries, followed by mild and severe injuries. The findings suggest a reprioritization of patients with moderate TBI-a drastic change to the traditional practice within low- and middle-income countries in which the most severely injured patients are prioritized for care.

Global neurosurgery: innovators, strategies, and the way forward.

Around the world today, low- and middle-income countries (LMICs) have not benefited from advancements in neurosurgery; most have minimal or even no neurosurgical capacity in their entire country. In this paper, the authors examine in broad strokes the different ways in which individuals, organizations, and universities engage in global neurosurgery to address the global challenges faced in many LMICs. Key strategies include surgical camps, educational programs, training programs, health system strengthening projects, health policy changes/development, and advocacy. Global neurosurgery has begun coalescing with large strides taken to develop a coherent voice for this work. This large-scale collaboration via multilateral, multinational engagement is the only true solution to the issues we face in global neurosurgery. Key players have begun to come together toward this ultimate solution, and the future of global neurosurgery is bright.

History of awake mapping and speech and language localization: from modules to networks.

Lesion-symptom correlations shaped the early understanding of cortical localization. The classic Broca-Wernicke model of cortical speech and language organization underwent a paradigm shift in large part due to advances in brain mapping techniques. This initially started by demonstrating that the cortex was excitable. Later, advancements in neuroanesthesia led to awake surgery for epilepsy focus and tumor resection, providing neurosurgeons with a means of studying cortical and subcortical pathways to understand neural architecture and obtain maximal resection while avoiding so-called critical structures. The aim of this historical review is to highlight the essential role of direct electrical stimulation and cortical-subcortical mapping and the advancements it has made to our understanding of speech and language cortical organization. Specifically, using cortical and subcortical mapping, neurosurgeons shifted from a localist view in which the brain is composed of rigid functional modules to one of dynamic and integrative large-scale networks consisting of interconnected cortical subregions.