Cervical Muscle Activation Characteristics and Head Kinematics in Males and Females Following Acoustic Warnings and Impulsive Head Forces.

Sex, head and neck posture, and cervical muscle preparation are contributing factors in the severity of head and neck injuries. However, it is unknown how these factors modulate the head kinematics. In this study, twenty-four (16 male and 8 female) participants experienced 50 impulsive forces to their heads with and without an acoustic warning. Female participants demonstrated a 71 ms faster (p = 0.002) muscle activation onset compared to males after warning. The magnitude of muscle activation was not significant between sexes. Females exhibited 21% (p < 0.008) greater peak angular velocity in all force directions and 18% (p < 0.04) greater peak angular acceleration in sagittal plane compared to males. Females exhibited 15% (p = 0.03) greater peak linear acceleration compared to males only in sagittal flexion. Preparation attenuated head kinematics significantly (p < 0.03) in 11 out of 18 investigated head kinematics for both sexes. A warning eliciting a startle response 420 ms prior to the impact resulted in significant attenuation of all measured head kinematics in sagittal extension (p < 0.037). In conclusion, both sex and warning type were significant factors in head kinematics. These data provide insight into the complex relationship of muscle activation and sex, and may help identify innovative strategies to reduce head and neck injury risk in sports.

Post-traumatic peripheral vestibular disorders (excluding positional vertigo) in workers following head injury.

Benign paroxysmal positional vertigo has typically been reported to be the most common cause of post-traumatic dizziness. There is however paucity in the literature about other peripheral vestibular disorders post-head injury. This article provides an overview of other causes of non-positional dizziness post-head trauma from our large institutional experience. The UHN WSIB Neurotology database (n = 4291) between 1998 and 2018 was retrospectively studied for those head-injured workers presenting with non-positional peripheral vestibular disorders. All subjects had a detailed neurotological history and examination and vestibular testing including video nystagmography, video head impulse testing (or a magnetic scleral search coil study), vestibular-evoked myogenic potentials, and audiometry. Imaging studies included routine brain and high-resolution temporal bone CT scans and/or brain MRI. Based on a database of 4291 head-injured workers with dizziness, 244 were diagnosed with non-positional peripheral vertigo. Recurrent vestibulopathy (RV) was the most common cause of non-positional post-traumatic vertigo. The incidence of Meniere's disease in the post-traumatic setting did not appear greater than found in the general population. The clinical spectrum pertaining to recurrent vestibulopathy, Meniere's disease, delayed endolymphatic hydrops, drop attacks, superior semicircular canal dehiscence syndrome, and uncompensated peripheral vestibular loss are discussed.

Monitoring of Neuroendocrine Changes in Acute Stage of Severe Craniocerebral Injury by Transcranial Doppler Ultrasound Image Features Based on Artificial Intelligence Algorithm.

This study was aimed at exploring the application value of transcranial Doppler (TCD) based on artificial intelligence algorithm in monitoring the neuroendocrine changes in patients with severe head injury in the acute phase; 80 patients with severe brain injury were included in this study as the study subjects, and they were randomly divided into the control group (conventional TCD) and the experimental group (algorithm-optimized TCD), 40 patients in each group. An artificial intelligence neighborhood segmentation algorithm for TCD images was designed to comprehensively evaluate the application value of this algorithm by measuring the TCD image area segmentation error and running time of this algorithm. In addition, the Glasgow coma scale (GCS) and each neuroendocrine hormone level were used to assess the neuroendocrine status of the patients. The results showed that the running time of the artificial intelligence neighborhood segmentation algorithm for TCD was 3.14 ± 1.02 s, which was significantly shorter than 32.23 ± 9.56 s of traditional convolutional neural network (CNN) algorithms (P < 0.05). The false rejection rate (FRR) of TCD image area segmentation of this algorithm was significantly reduced, and the false acceptance rate (FAR) and true acceptance rate (TAR) were significantly increased (P < 0.05). The consistent rate of the GCS score and Doppler ultrasound imaging diagnosis results in the experimental group was 93.8%, which was significantly higher than the 80.3% in the control group (P < 0.05). The consistency rate of Doppler ultrasound imaging diagnosis results of patients in the experimental group with abnormal levels of follicle stimulating hormone (FSH), prolactin (PRL), growth hormone (GH), adrenocorticotropic hormone (ACTH), and thyroid stimulating hormone (TSH) was significantly higher than that of the control group (P < 0.05). In summary, the artificial intelligence neighborhood segmentation algorithm can significantly shorten the processing time of the TCD image and reduce the segmentation error of the image area, which significantly improves the monitoring level of TCD for patients with severe craniocerebral injury and has good clinical application value.

Head Kinematics and Injury Metrics for Laboratory Hockey-Relevant Head Impact Experiments.

Investigating head responses during hockey-related blunt impacts and hence understanding how to mitigate brain injury risk from such impacts still needs more exploration. This study used the recently developed hockey helmet testing methodology, known as the Hockey Summation of Tests for the Analysis of Risk (Hockey STAR), to collect 672 laboratory helmeted impacts. Brain strains were then calculated from the according 672 simulations using the detailed Global Human Body Models Consortium (GHBMC) finite element head model. Experimentally measured head kinematics and brain strains were used to calculate head/brain injury metrics including peak linear acceleration, peak rotational acceleration, peak rotational velocity, Gadd Severity Index (GSI), Head Injury Criteria (HIC15), Generalized Acceleration Model for Brain Injury Threshold (GAMBIT), Brain Injury Criteria (BrIC), Universal Brain Injury Criterion (UBrIC), Diffuse Axonal Multi-Axis General Equation (DAMAGE), average maximum principal strain (MPS) and cumulative strain damage measure (CSDM). Correlation analysis of kinematics-based and strain-based metrics highlighted the importance of rotational velocity. Injury metrics that use rotational velocity correlated highly to average MPS and CSDM with UBrIC yielding the strongest correlation. In summary, a comprehensive analysis for kinematics-based and strain-based injury metrics was conducted through a hybrid experimental (672 impacts) and computational (672 simulations) approach. The results can provide references for adopting brain injury metrics when using the Hockey STAR approach and guide ice hockey helmet designs that help reduce brain injury risks.

Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards.

Repeated head impact exposure and concussions are common in American football. Identifying the factors associated with high magnitude impacts aids in informing sport policy changes, improvements to protective equipment, and better understanding of the brain's response to mechanical loading. Recently, the Stanford Instrumented Mouthguard (MiG2.0) has seen several improvements in its accuracy in measuring head kinematics and its ability to correctly differentiate between true head impact events and false positives. Using this device, the present study sought to identify factors (e.g., player position, helmet model, direction of head acceleration, etc.) that are associated with head impact kinematics and brain strain in high school American football athletes. 116 athletes were monitored over a total of 888 athlete exposures. 602 total impacts were captured and verified by the MiG2.0's validated impact detection algorithm. Peak values of linear acceleration, angular velocity, and angular acceleration were obtained from the mouthguard kinematics. The kinematics were also entered into a previously developed finite element model of the human brain to compute the 95th percentile maximum principal strain. Overall, impacts were (mean ± SD) 34.0 ± 24.3 g for peak linear acceleration, 22.2 ± 15.4 rad/s for peak angular velocity, 2979.4 ± 3030.4 rad/s2 for peak angular acceleration, and 0.262 ± 0.241 for 95th percentile maximum principal strain. Statistical analyses revealed that impacts resulting in Forward head accelerations had higher magnitudes of peak kinematics and brain strain than Lateral or Rearward impacts and that athletes in skill positions sustained impacts of greater magnitude than athletes in line positions. 95th percentile maximum principal strain was significantly lower in the observed cohort of high school football athletes than previous reports of collegiate football athletes. No differences in impact magnitude were observed in athletes with or without previous concussion history, in athletes wearing different helmet models, or in junior varsity or varsity athletes. This study presents novel information on head acceleration events and their resulting brain strain in high school American football from our advanced, validated method of measuring head kinematics via instrumented mouthguard technology.

Effective Head Impact Kinematics to Preserve Brain Strain.

Conventional kinematics-based brain injury metrics often approximate peak maximum principal strain (MPS) of the whole brain but ignore the anatomical location of occurrence. In this study, we develop effective impact kinematics consisting of peak rotational velocity and the associated rotational axis to preserve not only peak MPS but also spatially detailed MPS. A pre-computed brain response atlas (pcBRA) serves as a common reference. A training dataset (N = 3069) is used to develop a convolutional neural network (CNN) to automate impact simplification. When preserving peak MPS alone, the CNN-estimated effective peak rotational velocity achieves a coefficient of determination ([Formula: see text]) of ~ 0.96 relative to the directly identified counterpart, far outperforming nominal peak velocity from the resultant profiles ([Formula: see text] of ~ 0.34). Impacts from a subset of data (N = 1900) are also successfully matched with pcBRA idealized impacts based on elementwise MPS, where their regression slope and Pearson correlation coefficient do not deviate from 1.0 (when identical) by more than 0.1. The CNN-estimated effective peak rotation velocity and rotational axis are sufficiently accurate for ~ 73.5% of the impacts. This is not possible for the nominal peak velocity or any other conventional injury metric. The performance may be further improved by expanding the pcBRA to include deceleration and focusing on region-wise strains. This study establishes a new avenue to reduce an arbitrary head impact into an idealized but actual "impact mode" characterized by triplets of basic kinematic variables. They retain specific physical interpretations of head impact and may be an advancement over state-of-the-art kinematics-based scalar metrics for more effective impact comparison in the future.

Potential Mechanisms of Acute Standing Balance Deficits After Concussions and Subconcussive Head Impacts: A Review.

Standing balance deficits are prevalent after concussions and have also been reported after subconcussive head impacts. However, the mechanisms underlying such deficits are not fully understood. The objective of this review is to consolidate evidence linking head impact biomechanics to standing balance deficits. Mechanical energy transferred to the head during impacts may deform neural and sensory components involved in the control of standing balance. From our review of acute balance-related changes, concussions frequently resulted in increased magnitude but reduced complexity of postural sway, while subconcussive studies showed inconsistent outcomes. Although vestibular and visual symptoms are common, potential injury to these sensors and their neural pathways are often neglected in biomechanics analyses. While current evidence implies a link between tissue deformations in deep brain regions including the brainstem and common post-concussion balance-related deficits, this link has not been adequately investigated. Key limitations in current studies include inadequate balance sampling duration, varying test time points, and lack of head impact biomechanics measurements. Future investigations should also employ targeted quantitative methods to probe the sensorimotor and neural components underlying balance control. A deeper understanding of the specific injury mechanisms will inform diagnosis and management of balance deficits after concussions and subconcussive head impact exposure.

An Experimental Platform Generating Simulated Blunt Impacts to the Head Due to Rearward Falls.

Impacts to the back of the head due to rearward falls, also referred to as "backfall" events, represent a common source of TBI for athletes and soldiers. A new experimental apparatus is described for replicating the linear and rotational kinematics of the head during backfall events. An anthropomorphic test device (ATD) with a head-borne sensor suite was configured to fall backwards from a standing height, inducing contact between the rear of the head and a ground surface simulant. A pivoting swing arm and release strap were used to generate consistent and realistic head kinematics. Backfall experiments were performed with the ATD fitted with an American football helmet and the resulting linear and rotational head kinematics, as well as calculated injury metrics, compared favorably with those of football players undergoing similar impacts during games or play reconstructions. This test method complements existing blunt impact helmet performance experiments, such as drop tower and pneumatic ram test methods, which may not be able to fully reproduce head-neck-torso kinematics during a backfall event.

Sensitivity of material model parameters on finite element models of infant head impacts.

Finite element (FE) models of human infant heads can be used in forensic investigations to infer whether a given pattern of head injuries could have resulted from a hypothetical scenario. This requires accurate models of the behaviour of the head tissues. Material models for human infant head tissues have been developed using experimental data from both infant and adult tissues. Experimental data for infants are scarce due to ethical considerations. To guide future experimental work, a sensitivity analysis of the material model parameters was conducted on a FE model of an infant occipital head impact. A simplified head geometry, consisting of the scalp, skull, suture and brain, was impacted onto a rigid anvil at a speed equivalent to a drop height of 0.3 m. The scalp, suture and brain were represented using hyperelastic material models, while an isotropic elastic model was used for the skull. Three hundred simulations were performed, with the material model parameters varied in each. Spearman's rank correlation was used to determine the influence of each parameter on selected outputs which predict injury level. The elastic modulus and Poisson's ratio for the skull were the most important parameters, followed by the hyperelastic constants for the brain, scalp and suture. It is recommended that future research prioritises increasing experimental datasets of skull elastic modulus, especially at higher loading rates, followed by obtaining data for the skull Poisson's ratio. The results from this sensitivity analysis can ensure that future experimental work makes the best use of scarce tissues.

Repetitive mild head trauma induces activity mediated lifelong brain deficits in a novel Drosophila model.

Mild head trauma, including concussion, can lead to chronic brain dysfunction and degeneration but the underlying mechanisms remain poorly understood. Here, we developed a novel head impact system to investigate the long-term effects of mild head trauma on brain structure and function, as well as the underlying mechanisms in Drosophila melanogaster. We find that Drosophila subjected to repetitive head impacts develop long-term deficits, including impaired startle-induced climbing, progressive brain degeneration, and shortened lifespan, all of which are substantially exacerbated in female flies. Interestingly, head impacts elicit an elevation in neuronal activity and its acute suppression abrogates the detrimental effects in female flies. Together, our findings validate Drosophila as a suitable model system for investigating the long-term effects of mild head trauma, suggest an increased vulnerability to brain injury in female flies, and indicate that early altered neuronal excitability may be a key mechanism linking mild brain trauma to chronic degeneration.

Altered Vestibular Balance Function in Combat Sport Athletes.

Combat sports pose a risk for accumulative injuries to the nervous system, yet fighters have remained an understudied population. Here, our purpose was to determine whether repetitive blows to the head have an effect on vestibular balance reflexes in combat sports athletes. We compared lower-limb muscle responses evoked with electrical vestibular stimuluation (EVS) between fighters (boxing/muay thai) and non-fighter controls. Each participant received stochastic vestibular stimulation (0-25 Hz, ±3 mA) over their mastoid processes while they stood relaxed with their head to the left or right. Surface electromyography was recorded from the medial gastrocnemius and soleus muscles bilaterally. Short and medium latency response (SLR/MLR) peaks were significantly delayed in the fighter group compared to controls. SLR and MLR peak amplitudes were also significantly lower in fighters. Fighter-estimated cumulative repetitive head impact (RHI) events demonstrated strong positive correlations with the timing of SLR and MLR peaks. Cumulative RHI events also negatively correlated with peak MLR amplitude and response gain at frequencies above 5 Hz. Our results provide evidence of a progressive vestibular impairment in combat sports athletes, potentially resulting from blows to the head accumulated in sparring practice and competitive bouts throughout their careers. Taken together, EVS-based vestibular assessments may provide a valuable clinical diagnostic tool and help better inform "return-to-play" and career-length decisions for not only combat sports athletes, but potentially other populations at risk of RHIs.

A population-based study of head injury, cognitive function and pathological markers.

OBJECTIVE: To assess associations between head injury (HI) with loss of consciousness (LOC), ageing and markers of later-life cerebral pathology; and to explore whether those effects may help explain subtle cognitive deficits in dementia-free individuals. METHODS: Participants (n = 502, age = 69-71) from the 1946 British Birth Cohort underwent cognitive testing (subtests of Preclinical Alzheimer Cognitive Composite), 18 F-florbetapir Aß-PET and MR imaging. Measures include Aß-PET status, brain, hippocampal and white matter hyperintensity (WMH) volumes, normal appearing white matter (NAWM) microstructure, Alzheimer's disease (AD)-related cortical thickness, and serum neurofilament light chain (NFL). LOC HI metrics include HI occurring: (i) >15 years prior to the scan (ii) anytime up to age 71. RESULTS: Compared to those with no evidence of an LOC HI, only those reporting an LOC HI>15 years prior (16%, n = 80) performed worse on cognitive tests at age 69-71, taking into account premorbid cognition, particularly on the digit-symbol substitution test (DSST). Smaller brain volume (BV) and adverse NAWM microstructural integrity explained 30% and 16% of the relationship between HI and DSST, respectively. We found no evidence that LOC HI was associated with Aß load, hippocampal volume, WMH volume, AD-related cortical thickness or NFL (all p > 0.01). INTERPRETATION: Having a LOC HI aged 50's and younger was linked with lower later-life cognitive function at age ~70 than expected. This may reflect a damaging but small impact of HI; explained in part by smaller BV and different microstructure pathways but not via pathology related to AD (amyloid, hippocampal volume, AD cortical thickness) or ongoing neurodegeneration (serum NFL).

Determinants of Outcome in Traumatic Head Injuries: A South East Nigeria Experience.

OBJECTIVES: The objectives of this study were to ascertain factors significantly responsible for mortality from traumatic head injuries and prescribe measures necessary to circumvent such outcome. METHODS: A retrospective cohort study of all traumatic head injuries seen at our facility from October 2013 to September 2015 was done utilizing data from patient's case notes, ward registers, and casualty department. Extracted data were analyzed using descriptive statistics. RESULTS: A total of 221 patient records were analyzed with 161 men and 60 women. It was observed that although the younger age group (19-30 years) was the most frequently affected by traumatic head injuries (36.2%), the elderly (>60 years) were 4.6 times more likely to die from traumatic head injuries than any other age group. Also, those with severe head injuries were 58 times more likely to die than any other category of head injury, even though the commonest category of head injuries seen were mild head injuries (68.7%). Patients with traumatic head injury from road traffic accidents were 5.8 times more likely to die than any other cause. The sex of the patient and the length of hospital stay had no significant influence on mortality from traumatic head injuries. CONCLUSIONS: The postresuscitation Glasgow Coma Scale score, age of the patient, and mechanism of head injuries are important determining factors of outcome in traumatic head injuries, with the Glasgow Coma Scale score being the single most important determining factor. Efforts should be made at preventing such causes, with prompt and aggressive care instituted for cases at risk of unfavorable outcome.

Putting 'CSF-Shift Edema' Hypothesis to Test: Comparing Cisternal and Parenchymal Pressures After Basal Cisternostomy for Head Injury.

BACKGROUND: Increased brain edema in head injury is due to shift of cerebrospinal fluid (CSF) from cisterns at high pressure to brain parenchyma at low pressure. By opening basal cisterns and decreasing the increased cisternal pressure, basal cisternostomy (BC) results in reversal of CSF shift from parenchyma to cisterns, leading to decreased brain edema. Though the CSF-shift edema hypothesis is based on pressure difference between cisterns and brain parenchyma, the relationship of these pressures has not been studied. METHODS: A prospective clinical study was conducted from November 2018 to March 2020 including adult patients with head injury who were candidates for standard decompressive hemicraniectomy (DHC). All patients had neurological assessment and head computed tomography preoperatively and postoperatively. All patients underwent BC with DHC. Postoperatively, parenchymal and cisternal pressures and neurological condition were monitored hourly for 72 hours. RESULTS: Nine (5 men, 4 women) patients with head injury (mean age, 45.7 years; range, 25-72 years) underwent DHC-BC. Median Glasgow Coma Scale score of patients at admission was 8 (range, 4-14), and median midline shift on computed tomography was 8 mm (range, 7-12 mm). There was a significant difference between opening (25.70 ± 10.48 mm Hg) and closing (11.30 ± 5.95 mm Hg) parenchymal pressures (t9 = 3.963, P = 0.003). Immediate postoperative cisternal pressure was 1-11 mm Hg and was lower than immediate postoperative parenchymal pressure in all except 1 patient. Postoperatively, if cisternal pressure remained low, parenchymal pressure also decreased, and patients showed clinical improvement. Patients showing increased cisternal pressure showed increased parenchymal pressure and clinical worsening. CONCLUSIONS: Our study supports the CSF-shift edema hypothesis. Following DHC-BC, cisternal pressure is lowered to near-atmospheric pressure, and its relationship to parenchymal pressure predicts the future course of patients by reversal or re-reversal of CSF shift.

The effect of synthetic bone graft substitutes on bone formation in rabbit calvarial defects.

The aim of this study was to evaluate the influence of the intensity of the biomimetic hydroxyapatite (HA) coating of α-tricalcium phosphate (α-TCP) on biomaterial degradation and bone formation. Twenty-four female NZW rabbits of approximately 12 weeks of age were used. Critical size defects were randomly treated with 3%:97% HA:α-TCP (BBCP1), 12%:88% HA:α-TCP (BBCP2), and 23%:77% HA:α-TCP (BBCP3), respectively or sham. All defects were covered with a resorbable collagen membrane. Animals were euthanized after 3 and 12 weeks of healing and samples were investigated by micro-CT and histologic analysis. Ingrowth of newly formed woven bone from the original bone at 3-week healing period was observed in all samples. At the 12-week healing period, the new bone in the peripheral area was mainly lamellar and in the central region composed of both woven and lamellar bone. New bony tissue was found on the surface of all three types of granules and at the interior of the BBCP1 granules. Samples with 3% HA showed significantly less residual biomaterial in comparison to the other two groups. Furthermore, BBCP1 significantly promoted new bone area as compared to other three groups and more bone volume as compared to the control. Within its limitations, this study indicated the highest degradation rate in case of BBCP1 concomitant with the highest rate of bone formation. Hence, formation of new bone can be affected by the level of biomimetic HA coating of α-TCP.

Combined head and abdominal blunt trauma in the hemodynamically unstable patient: What takes priority?

BACKGROUND: The management of hypotensive patients with severe combined head and abdominal trauma is challenging, regarding the need, timing, and sequence of craniotomy or laparotomy. The purpose of the present study was to determine whether rare situations requiring craniotomy prior to laparotomy can be identified on admission with simple clinical parameters. We hypothesized that hypotension is rarely associated with the need of a combined procedure, especially in patients with mildly depressed consciousness. METHODS: National Trauma Data Bank study, including adult blunt trauma patients with combined severe head (Abbreviated Injury Scale score, ≥ 3) and abdominal injury (Abbreviated Injury Scale score, ≥ 3). Data collection included demographic and clinical characteristics, laparotomy, and craniotomy within 24 hours of admission, types of intracranial pathologies, survival, and hospital stay. Multivariate regression analysis was used to determine factors predictive for the need of both operative procedures. RESULTS: Of 25,585 patients with severe combined head and abdominal trauma, 8,744 (34.2%) needed only laparotomy, 534 (2.1%) only craniotomy, and 394 (1.5%) required both procedures within 24 hours of admission. In the subgroup of 4,667 hypotensive patients, 2,421 (51.9%) underwent only laparotomy, 54 (1.2%) only craniotomy, and 79 (1.7%) both procedures within 24 hours of admission. Only 5 (0.7%) of 711 hypotensive patients with Glasgow Coma Scale (GCS) score above 8 who required a laparotomy also needed a craniotomy. Among clinical parameters available on patient's arrival, GCS score of 7 to 8 was independently associated with the highest need for craniotomy in hypotensive patients requiring laparotomy (odds ratio, 7.94; p = 0.004). CONCLUSION: The need for craniotomy in patients with severe combined head and abdominal injury requiring exploratory laparotomy is very low. In hypotensive patients requiring laparotomy, GCS score of 7 to 8 was an independent predictor of the need for craniotomy. In hemodynamically unstable patients with a GCS score greater than 8, it may be safer to proceed with a laparotomy first and address the head with a computed tomography scan at a later stage. LEVEL OF EVIDENCE: Therapeutic, Level IV.

Cuidados generales en el manejo del traumatismo craneoencefálico grave: consenso latinoamericano / General care in the management of severe traumatic brain injury: Latin American consensus

El traumatismo craneoencefálico grave (TCEg) continúa siendo prevalente en la población adulta joven. Lejos de descender, su incidencia se mantiene elevada. Uno de los pilares en los que se asienta su tratamiento es evitar, detectar y corregir complicaciones secundarias de origen sistémico que agravan la lesión primaria. Gran parte de este objetivo se logra manteniendo un microambiente fisiológico adecuado que permita la recuperación del tejido cerebral lesionado. Las medidas de cuidados generales son acciones inespecíficas destinadas a cumplir dicho objetivo. Las guías disponibles de manejo del TCEg no han incluido la mayoría de los tópicos motivo de este consenso. Para ello, hemos reunido un grupo de profesionales miembros del Consorcio latinoamericano de Injuria Cerebral (LABIC), involucrados en los diferentes aspectos del manejo agudo del TCEg (neurocirujanos, intensivistas, anestesiólogos, neurólogos, enfermeros, fisioterapeutas). Se efectuó una búsqueda bibliográfica en las bases de datos LILACS, PubMed, Embasse, Scopus, Cochrane Controlled Register of Trials y Web of Science de los tópicos seleccionados. Para establecer recomendaciones o sugerencias con su respectiva fortaleza o debilidad, fue aplicada la metodología Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Adicionalmente, ciertas recomendaciones (incluidas en material complementario) no fueron valoradas por GRADE, por ser las mismas un conjunto de acciones terapéuticas de cumplimento efectivo, en las que no fue posible aplicar dicha metodología. Fueron establecidas 32 recomendaciones; 16 fuertes y 16 débiles, con su respectivo nivel de evidencia. El presente consenso intenta homogeneizar y establecer medidas de cuidados generales básicas en esta población de individuos

Severe traumatic brain injury (sTBI) remains prevalent in the young adult population. Indeed, far from descending, the incidence of sTBI remains high. One of the key bases of treatment is to avoid, detect and correct secondary injuries of systemic origin, which aggravate the primary lesion. Much of this can be achieved by maintaining an adequate physiological microenvironment allowing recovery of the damaged brain tissue. General care measures are nonspecific actions designed to meet that objective. The available guidelines on the management of sTBI have not included the topics contemplated in this consensus. In this regard, a group of members of the Latin American Brain Injury Consortium (LABIC), involved in the different aspects of the acute management of sTBI (neurosurgeons, intensivists, anesthesiologists, neurologists, nurses and physiotherapists) were gathered. An exhaustive literature search was made of selected topics in the LILACS, PubMed, Embase, Scopus, Cochrane Controlled Register of Trials and Web of Science databases. To establish recommendations or suggestions with their respective strength or weakness, the GRADE methodology (Grading of Recommendations, Assessment, Development and Evaluation) was applied. Additionally, certain recommendations (included in complementary material) were not assessed by GRADE, because they constitute a set of therapeutic actions of effective compliance, in which it was not possible to apply the said methodology. Thirty-two recommendations were established, 16 strong and 16 weak, with their respective levels of evidence. This consensus attempts to standardize and establish basic general care measures in this particular patient population

On-Field Performance of an Instrumented Mouthguard for Detecting Head Impacts in American Football.

Wearable sensors that accurately record head impacts experienced by athletes during play can enable a wide range of potential applications including equipment improvements, player education, and rule changes. One challenge for wearable systems is their ability to discriminate head impacts from recorded spurious signals. This study describes the development and evaluation of a head impact detection system consisting of a mouthguard sensor and machine learning model for distinguishing head impacts from spurious events in football games. Twenty-one collegiate football athletes participating in 11 games during the 2018 and 2019 seasons wore a custom-fit mouthguard instrumented with linear and angular accelerometers to collect kinematic data. Video was reviewed to classify sensor events, collected from instrumented players that sustained head impacts, as head impacts or spurious events. Data from 2018 games were used to train the ML model to classify head impacts using kinematic data features (127 head impacts; 305 non-head impacts). Performance of the mouthguard sensor and ML model were evaluated using an independent test dataset of 3 games from 2019 (58 head impacts; 74 non-head impacts). Based on the test dataset results, the mouthguard sensor alone detected 81.6% of video-confirmed head impacts while the ML classifier provided 98.3% precision and 100% recall, resulting in an overall head impact detection system that achieved 98.3% precision and 81.6% recall.

Pre-season screening of the upper body and trunk in Australian football players: A prospective study.

OBJECTIVE: To determine whether screening tests of upper body, trunk region, and of whole-body function could prospectively identify community AFL players who sustain in-season shoulder/head/neck injuries. Additionally, to present screening test reference values. DESIGN: Prospective cohort; SETTING: Community sport; PARTICIPANTS: 142 male community AFL players (range 15-37 years). MAIN OUTCOME MEASURES: (i) isometric shoulder external and internal rotation (ER/IR) strength; (ii) upper body combined elevation functional ROM; (iii/iv) whole-body functional jump ROM; (v) static thoracic spine angle; (vi) cervical joint proprioception, and (vii) trunk muscle size and function. Results were compared among players with (n = 21) and without (n = 121) an in-season shoulder, head, or neck injury. ROC analysis and odds ratios were used to determine the predictive values. RESULTS: Two screening tests predicted an in-season shoulder, head, or neck injury; dominant and non-dominant isometric ER strength (AUC 0.629, 95%CI 0.51-0.74; optimal cut point 182 N and AUC 0.619, 95%CI 0.50-0.74; optimal cut point 184 N, respectively). The adjusted odds ratio for the strongest predictor: dominant ER muscle strength was 6.02 (95%CI 1.8-19.9). CONCLUSION: Greater ER strength was associated with in-season shoulder/head/neck injuries in community AFL players; however, further research is required to determine the clinical significance of this finding.