Following spinal cord injury (SCI), the regenerative capacity of the central nervous system (CNS) is severely limited by the failure of axonal regeneration. The regeneration of CNS axons has been shown to occur by grafting predegenerated peripheral nerves (PPNs) and to be promoted by the transplantation of neural precursor cells (NPCs). The introduction of a combinatorial treatment of PPNs and NPCs after SCI has to address the additional problem of glial scar formation, which prevents regenerating axons from leaving the implant and making functional connections. Previously, we discovered that the synthetic sulfoglycolipid Tol-51 inhibits astrogliosis. The objective was to evaluate axonal regeneration and locomotor function improvement after SCI in rats treated with a combination of PPN, NPC, and Tol-51. One month after SCI, the scar tissue was removed and replaced with segments of PPN or PPN+Tol-51; PPN+NPC+Tol-51. The transplantation of a PPN segment favors regenerative axonal growth; in combination with Tol-51 and NPC, 30% of the labeled descending corticospinal axons were able to grow through the PPN and penetrate the caudal spinal cord. The animals treated with PPN showed significantly better motor function. Our data demonstrate that PPN implants plus NPC and Tol-51 allow successful axonal regeneration in the CNS.

UNASSIGNED: Chronic pain among survivors of spinal cord injury (SCI) hurts physical and mental health. Persons with SCI have demonstrated dissatisfaction with the management of their chronic pain.
UNASSIGNED: This study aimed to identify existing clinical practice guidelines for chronic pain in the SCI population.
UNASSIGNED: A scoping review was conducted across various databases available at the University of the Western Cape, in addition to guideline clearing houses (BioMedCentral, Cambridge Journals Online, CINAHL, Cochrane Library, Medline [EbscoHost], Medline [Pubmed], Sabinet Reference, SAGE Journals Online, ScienceDirect, SCOPUS, Wiley Online Library, Springerlink, PubMed, Guideline Central, and Agency for Healthcare Research and Quality). The population consisted of adults with SCI, and the interventions that were included were pharmacological and nonpharmacological management of chronic pain. Guidelines that met the inclusion criteria were critically appraised by two reviewers from this study using the AGREE II instrument. Inter-rater reliability was calculated using SPSS 27, and Cohen\'s kappa coefficients were established.
UNASSIGNED: Five articles were included in the data extraction, analysis and appraisal. Two guidelines were rated as high quality, according to the AGREE II tool. In addition, most guidelines focused on neuropathic pain (NeuP) and only one guideline included nociceptive pain and NeuP.
UNASSIGNED: One guideline met the objectives of this scoping review.
UNASSIGNED: Guidelines developed in the future should include a screening tool to identify the specific type of pain and distinguish peripheral NeuP from central NeuP.

Knowledge about the mechanisms underlying the fluid flow in the brain and spinal cord is essential for discovering the mechanisms implicated in the pathophysiology of central nervous system diseases. During recent years, research has highlighted the complexity of the fluid flow movement in the brain through a glymphatic system and a lymphatic network. Less is known about these pathways in the spinal cord. An important aspect of fluid flow movement through the glymphatic pathway is the role of water channels, especially aquaporin 1 and 4. This review provides an overview of the role of these aquaporins in brain and spinal cord, and give a short introduction to the fluid flow in brain and spinal cord during in the healthy brain and spinal cord as well as during traumatic brain and spinal cord injury. Finally, this review gives an overview of the current knowledge about the role of aquaporins in traumatic brain and spinal cord injury, highlighting some of the complexities and knowledge gaps in the field.

UNASSIGNED: There is an increasing focus on the prevention of secondary injuries following traumatic spinal cord injury (TSCI), especially through improvement of spinal cord perfusion and immunological modulation. Such therapeutic strategies require translational and controlled animal models of disease progression of the acute phases of human TSCI.
UNASSIGNED: Is it possible to establish a 72-h sedated porcine model of incomplete thoracic TSCI, enabling controlled use of continuous, invasive, and non-invasive modalities during the entire sub-acute phase of TSCI?
UNASSIGNED: A sham-controlled trial was conducted to establish the model, and 10 animals were assigned to either sham or TSCI. All animals underwent a laminectomy, and animals in the TSCI group were subjected to a weight-drop injury. Animals were then kept sedated for 72 h. The amount of injury was assessed by ex-vivo measures MRI-based fiber tractography, histology and immunohistochemistry.
UNASSIGNED: In all animals, we were successful in maintaining sedation for 72 h without comprising vital physiological parameters. The MRI-based fiber tractography showed that all TSCI animals revealed a break in the integrity of spinal neurons, whereas histology demonstrated no transversal sections of the spine with complete injury. Notably, some animals displayed signs of secondary ischemic tissue in the cranial and caudal sections.
UNASSIGNED: This study succeeded in producing a porcine model of incomplete TSCI, which was physiologically stable up to 72 h. We believe that this TSCI model will constitute a potential translational model to study the pathophysiology secondary to TSCI in humans.

Medical security support for rehabilitation therapy in China is different from that in other countries. We investigated whether the discharge plan to continue rehabilitation therapy in tertiary hospitals for patients after traumatic spinal cord injury (TSCI) was influenced by payment sources or other conditions. This was a cross-sectional, observational study. Information was collected on the general condition, caregiver, types of payment sources for continued rehabilitation, American Spinal Injury Association Impairment Scale (AIS) scores, and discharge plans. In total, 135 patients with TSCI (107 male, mean age 41.00 ± 13.73 years, mean spinal cord injury duration 238.43 ± 345.54 days) were enrolled. Medical insurance (43%) and out-of-pocket payments (27.4%) were the primary payment sources. Although most patients were beyond the acute phase, 40% continued rehabilitation therapy at other tertiary hospitals. The caregiver, payment sources, injury level, AIS level, and complete urinary tract infection (UTI) were different due to discharge plans (p > .05). Patients seemingly consider a higher AIS level and co-UTI as the requirement for tertiary hospital therapy. In non-medical insurance payment source patients, the discharge plan also differed due to the AIS level and co-UTI (p > .05). However, in medical insurance patients, the discharge plan differed only in terms of TSCI duration (p > .05). The restricted duration of medical coverage restricted the continuation of rehabilitation therapy and influenced the discharge plan of most patients with TSCI.

BACKGROUND: Trauma to the thoracic, thoracolumbar (TL), and lumbar spine is common and can cause disability and neurological deficits. Using a cohort of patients suffering from thoracic, TL, and lumbar spine trauma in a tertiary hospital in East Africa, the current study sought to: (1) describe demographics and operative treatment patterns, (2) assess neurologic outcomes, and (3) report predictors associated with undergoing surgery, neurologic improvement, and mortality.
METHODS: A retrospective cohort study of patient records from September 2016 to December 2020 was conducted at a prominent East Africa referral center. The study collected data on demographics, injury, and operative characteristics. Surgical indications were assessed using the AO (Arbeitsgemeinschaft für Osteosynthesefragen) TL fracture classification system and neurological function. Logistic regression analysis identified predictors for operative treatment, neurologic improvement, and mortality.
RESULTS: The study showed that 64.9% of the 257 TL spine trauma patients underwent surgery with a median postadmission day of 17.0. The mortality rate was 1.2%. Road traffic accidents caused 43.6% of the injuries. The most common fracture pattern was AO Type A fractures (78.6%). Laminectomy and posterolateral fusion were performed in 97.6% of the surgical cases. Patients without neurological deficits (OR: 0.27, 95% CI: 0.13-0.54, P < 0.001) and those with longer delays from injury to admission were less likely to have surgery (OR: 0.95, 95% CI: 0.92-0.99, P = 0.007). The neurologic improvement rate was 11.1%. Univariate analysis showed a significant association between surgery and neurologic improvement (OR: 3.83, 95% CI: 1.27-16.61, P < 0.001). However, this finding was lost in multivariate regression.
CONCLUSIONS: This study highlights various themes surrounding the management of TL spine trauma in a low-resource environment, including lower surgery rates, delays from admission to surgery, safe surgery with low mortality, and the potential for surgery to lead to neurologic improvement.
CONCLUSIONS: Despite challenges such as surgical delays and limited resources in East Africa, there is potential for surgical intervention to improve neurologic outcomes in thoracic, TL, and lumbar spine trauma patients.
METHODS:

UNASSIGNED: To develop a predictive model of incidence of traumatic spinal cord injury (TSCI).
UNASSIGNED: The data for training the model included both the incidence data and the covariates. The incidence data were extracted from systematic reviews and the covariates were extracted from data available in the international road federation database. Then the feature processing measures were taken. First we defined a hyper-parameter, missing-value threshold, in order to eliminate features that exceed this threshold. To tackle the problem of overfitting of model we determined the Pearson correlation of features and excluded those with more than 0.7 correlation. After feature selection three different models including simple linear regression, support vector regression, and multi-layer perceptron were examined to fit the purposes of this study. Finally, we evaluated the model based on three standard metrics: Mean Absolute Error, Root Mean Square Error, and R2.
UNASSIGNED: Our machine-learning based model could predict the incidence rate of TSCI with the mean absolute error of 4.66. Our model found \"Vehicles in use, Total vehicles/Km of roads\", \"Injury accidents/100 Million Veh-Km\", \"Vehicles in use, Vans, Pick-ups, Lorries, Road Tractors\", \"Inland surface Passengers Transport (Mio Passenger-Km), Rail\", and \"% paved\" as top predictors of transport-related TSCI (TRTSCI).
UNASSIGNED: Our model is proved to have a high accuracy to predict the incidence rate of TSCI for countries, especially where the main etiology of TSCI is related to road traffic injuries. Using this model, we can help the policymakers for resource allocation and evaluation of preventive measures.

UNASSIGNED: Traumatic spinal cord injuries (TSCI) greatly affect the lives of patients and their families. Prognostication may improve treatment strategies, health care resource allocation, and counseling. Multivariable clinical prediction models (CPMs) for prognosis are tools that can estimate an absolute risk or probability that an outcome will occur.
UNASSIGNED: We sought to systematically review the existing literature on CPMs for TSCI and critically examine the predictor selection methods used.
UNASSIGNED: We searched MEDLINE, PubMed, Embase, Scopus, and IEEE for English peer-reviewed studies and relevant references that developed multivariable CPMs to prognosticate patient-centered outcomes in adults with TSCI. Using narrative synthesis, we summarized the characteristics of the included studies and their CPMs, focusing on the predictor selection process.
UNASSIGNED: We screened 663 titles and abstracts; of these, 21 full-text studies (2009-2020) consisting of 33 distinct CPMs were included. The data analysis domain was most commonly at a high risk of bias when assessed for methodological quality. Model presentation formats were inconsistently included with published CPMs; only two studies followed established guidelines for transparent reporting of multivariable prediction models. Authors frequently cited previous literature for their initial selection of predictors, and stepwise selection was the most frequent predictor selection method during modelling.
UNASSIGNED: Prediction modelling studies for TSCI serve clinicians who counsel patients, researchers aiming to risk-stratify participants for clinical trials, and patients coping with their injury. Poor methodological rigor in data analysis, inconsistent transparent reporting, and a lack of model presentation formats are vital areas for improvement in TSCI CPM research.

The early management of polytrauma patients with traumatic spinal cord injury (tSCI) is a major challenge. Sparse data is available to provide optimal care in this scenario and worldwide variability in clinical practice has been documented in recent studies.
A multidisciplinary consensus panel of physicians selected for their established clinical and scientific expertise in the acute management of tSCI polytrauma patients with different specializations was established. The World Society of Emergency Surgery (WSES) and the European Association of Neurosurgical Societies (EANS) endorsed the consensus, and a modified Delphi approach was adopted.
A total of 17 statements were proposed and discussed. A consensus was reached generating 17 recommendations (16 strong and 1 weak).
This consensus provides practical recommendations to support a clinician\'s decision making in the management of tSCI polytrauma patients.

Background: A traumatic spinal cord injury (TSCI) can lead to severe nerve damage and disability. Cell transplantation therapy has shown great potential in the reconstruction of damaged spinal cords and promoting functional recovery. However, there is a lack of frontiers and futures analysis in the study of cell transplantation in TSCI. Methods: We used CiteSpace, VOSviewer and biblilometrix R package to perform bibliometric analysis on cell transplantation in TSCI from 2013 to 2023. Bibliometric records were extracted from English articles and reviews from the Web of Science core collection. Results: The bibliometric analysis included 284 papers published in 154 journals by 1,780 authors from 487 institutions in 41 countries and regions. The number of articles published in the past decade has fluctuated slightly, while the number of article citations has steadily increased. Mainland China and the United States are the leading countries and regions in this field, with the National Natural Science Foundation of China being the most funded foundation, and the United States being the country with the most funded articles. The University of Toronto in Canada is a prolific institution. Michael G. Fehlings has published the most articles, and D Michele Basso is the most cited author. Cell transplantation is the most published journal, and the Journal of Neurotrauma is the most cited journal. Cell and tissue engineering and clinical neurology are the basic disciplines in this field, and cutting-edge disciplines include developmental biology, biochemistry and molecular biology, and materials science and multidisciplinary. This study also helps scholars understand the current hotspots and future trends in this field. Marrow stromal cells, glial progenitor, and cell therapy are current research hotspots in this field, while nerve regeneration, cell therapy, and the safety of transplantation of transplantation may be potential research directions in the future. Conclusion: Cell transplantation after TSCI is receiving increasing attention. Cell therapy is both the frontier and a possible future trend in TSCI research. In addition, glial progenitor and marrow stromal cells are also current research hotspots. Meanwhile, nerve regeneration and safety of transplantation may be potential research directions. These findings will help further deepen research on cell transplantation for TSCI in scientific work.