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DOI: 10.4103/ajns.AJNS_2_19
Factors predicting outcomes in surgically treated pediatric traumatic brain injury
Introduction: Traumatic brain injury (TBI) is a common presentation to the pediatric emergency department. Understanding factors that predict outcomes will be useful in clinical decision-making and prognostication. The objective of this study was to identify important clinical parameters predictive of outcomes in pediatric TBI patients who underwent surgery. Materials and Methods: This retrospective study included 43 pediatric TBI patients who underwent surgery from January 2011 to January 2017. Clinical parameters, including presenting signs and symptoms, mechanism of injury, intracranial pressure (ICP), need for inotropes, and computed tomography findings were collected. Outcomes were assessed using the Glasgow outcome score (GOS) based on the latest follow-up. Outcomes were divided into favorable (GOS 4–5) and unfavorable (GOS 1–3). Results: Surgery was performed in 43 patients. The mean age was 9.6 ± 4.9. The mean follow-up period was 31 weeks. Thirty (70%) patients had favorable outcome and 13 (30%) had unfavorable outcome. On univariate analysis, mechanism of injury, vomiting, Glasgow coma scale score, pupil size and reactivity, hypotension, inotropic use, need for blood transfusion, and raised ICP (all P < 0.005) were significantly associated with outcomes. On step-wise logistic regression, only raised ICP (odds ratio [OR] = 35.6, P = 0.008) and hypotension (OR = 26.1, P = 0.01) were found to be statistically significant. Conclusion: The present study suggests that the majority of pediatric TBI patients who required neurosurgical intervention have favorable outcomes. Closer attention should be paid to raised ICP and hypotension as they were strong predictors of unfavorable outcomes. These findings also help manage expectations of patients' family and clinicians.
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Introduction
Traumatic brain injury (TBI) is a significant cause of mortality and disability worldwide.[[1]] In the United States, approximately 600,000 pediatric patients are admitted to the Emergency Department due to TBI.[[2]] In Singapore, TBI is the leading cause of trauma among pediatric patients.[[3]] Pediatric TBI is a crippling condition which extends not only to oneself but also to the society. However, significant variations of clinical data and management strategies exist in the literature.[[2]]
Adult and pediatric TBI have different pathophysiology and outcomes.[[4]],[[5]] An infant skull being less rigid with higher plasticity allows more movement in response to mechanical stress. In neonates, the cerebral white matter contains less myelin. These factors result in different absorption of forces in adults and pediatric patients.[[4]] Furthermore, neonates having a larger head to body ratio are more susceptible to head injury. This corroborates with many studies that reported worse outcomes following TBI in infants.[[6]],[[7]],[[8]] Moreover, Bruce et al. found cerebral edema twice more common in pediatric patients after TBI due to cerebral hyperemia.[[5]],[[9]]
A review of the literature revealed multiple factors which were associated with poor outcomes in pediatric TBI. Age, Glasgow coma scale (GCS) scores, clinical features (vomiting, pupil size, etc.,), and injury mechanisms have been reported in various studies.[[5]],[[10]],[[11]],[[12]] Radiological studies also attempted to examine the relationship between computed tomography (CT) findings and outcomes. The presence of subarachnoid hemorrhage (SAH), diffuse axonal injury, and brain swelling has been reported to predict poor outcomes in pediatric TBI.[[13]] However, the few studies that investigated predictive factors of TBI outcomes have revealed variable results. For instance, pupil size was only a significant predictor only in certain studies.[[13]] Postresuscitation GCS score was a significant predictor [[14]] in some studies but not in others.[[15]] The same issue applies for age, duration of loss of consciousness, the presence of hypothermia, and the presence of injury severity scores.[[2]],[[5]],[[10]] Much debate exists between clinicians regarding the priority of management of clinical parameters on presentation of a pediatric TBI.
Surgery for pediatric patients with TBI remains a controversial topic of discussion. Commonly practiced procedures such as intracranial pressure (ICP) monitoring have conflicting evidence of utility.[[16]] Although many clinicians still edge on the conservative side of management, there is growing evidence that decompressive surgery could improve outcomes of pediatric TBI patients.[[5]],[[17]] Minimal data exist in the literature that identifies risk factors which predict outcomes in pediatric TBI patients who underwent surgery.
The objective of this study was to identify pertinent clinical parameters and radiological factors that could predict outcomes in pediatric TBI patients who underwent surgery.
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Materials and Methods
This Institutional Review Board approved study was conducted in the National University Hospital of Singapore. Pediatric patients aged 18 and under were retrospectively collected from June 2011 to January 2017. Inclusion criteria were any pediatric patient who suffered a TBI and was referred to the neurosurgical unit for any form of the neurosurgical procedure, including decompressive craniectomy, craniotomy, and external ventricular drain insertion. Pediatric TBI patients who did not undergo surgery, patients with preinjury neurological or psychiatric conditions, patients who had no follow-up after initial hospitalization and patients who did not survive before any surgery performed were excluded from the study.
Demographic data collected include age, gender, mechanism of injury, and type of hemorrhage. Patients were grouped into three groups based on their age as follows: 0–6 years, 7–12 years, and 13–18 years. Predictor variables collected for analysis include: GCS score, mechanism of injury, the presence of loss of consciousness, vomiting, palpable skull fracture, signs of basilar skull fracture, presence of a nonfrontal scalp hematoma, pupil size and reactivity, CT findings of type of hemorrhage, CT findings of severity of injury (midline shift, mass effect), presence of hypotension (age adjusted), ICP, need for blood transfusion, and use of inotrope prior or during surgery. Hypotension was defined as systolic blood pressure (SBP) <90 mmHg for patients over 10 years, SBP <70 + (2 × age in years) mmHg for patients aged 1–10 years old and SBP <70 mmHg for infants (1 month to 12 months). Mass effect was defined as the presence of effacement or compression of basal cisterns with midline shift <0.5 cm. Midline shift is defined as a measured perpendicular distance >5 mm between the septum pellucidum and the midline. [[Table 1]] summarizes all the predictor variables included for analysis. The verbal and motor component of the GCS scale was modified for pediatric patients below the age of 2 according to local institutional guidelines. For the verbal component, 5 describes an infant that coos and babbles. Four corresponds to an infant who is irritable and crying, 3 describes crying in response to pain, 2 moaning in response to pain, and 1 has no response. For the motor component: 6 describes an infant moving spontaneously and purposely, 5 corresponds to withdrawing in response to touch, 4 for withdrawing in response to pain, 3 for abnormal flexion, 2 for abnormal extension, and 1 for no response. The severity of TBI was categorized into mild (GCS 13–15), moderate (GCS 9–12), and severe (GCS ≤8). Raised ICP was defined as ICP >20 mmHg. At our center, The CODMAN ICP intraoperative monitor was used to measure ICP intraoperatively at the parenchymal level. The highest reading intraoperatively was chosen. All data were extracted from electronic medical records.




Outcomes were measured using the Glasgow outcome score (GOS). The GOS scale was modified for it to be applicable to pediatric patients based on Prasad's et al. report.[[5]] Good recovery (GOS 5) referred to patients who returned to age appropriate levels of functioning or returned to normal classes without special assistance. Moderate disability (GOS 4) referred to patients with reduced cognitive function from premorbid levels, neurological deficits affecting daily activities or patients who were enrolled in classes with special needs. Severe disability (GOS 3) referred to patients who were deficient in cognitive function or patients who were unable to carry out age-appropriate motor tasks. Vegetative state (GOS 2) referred to patients who required full dependence on daily activities. GOS 1 represented the death of the patient. Patients were divided into two groups based on their GOS scores. Patients with a GOS score of 1–3 represented the unfavorable outcome group while patients with a GOS score of 4–5 represented the favorable outcome group. Outcomes of the patients were taken at their latest follow-up appointment. The mean follow-up period was 31 weeks postdischarge. Neurological, psychological, and social assessments were reviewed by study investigators before awarding a GOS score to the patient.
Statistical analysis was carried out using IBM SPSS 22.0 Armonk, New York, United States of America. Continuous variables were represented as mean ± standard deviation if normally distributed. For skewed distribution, data were presented as median and interquartile ranges. Chi-square, Fisher's exact, and paired t-test were used for univariate analysis. Binary logistic regression was used to examine variables that were significant on univariate analysis. A value of P < 0.05 was considered to be significant.
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Results
A total of 43 pediatric patients were included in this study. Thirty-three were male and 10 were female. The mean age was 9.6 ± 4.9 years. 14 (33%) patients were aged 0–6 years, 15 (35%) patients were 7–12 years old, and 14 (32%) patients were 13–18 years old. Mean GCS score was 10.3 ± 4.3. Majority of the patients (17, 39.5%) presented with a mild GCS score of 13–15. The most common type of injury was an extradural hemorrhage (19, 44%), followed by a sub-dural hemorrhage (10, 23%), SAH (7, 16%), and intraparenchymal hemorrhage (4, 8%). 30 (70%) patients had favorable outcomes whereas 13 (30%) patients had unfavorable outcomes. The basic characteristics of the patients are summarized in [[Table 1]].
[[Table 2]] summarizes the factors that were analyzed for univariate analysis. On univariate analysis, the following factors were found to be significantly associated with outcomes following pediatric TBI: GCS scores (P = 0.001), mechanism of injury (P = 0.043), presence of vomiting (P = 0.004), pupil size >3 mm (P = 0.001), bilaterally nonreactive pupils (P < 0.001), use of inotropes (P < 0.001), presence of hypotension (P < 0.001), raised ICP (P < 0.001), and blood transfusion required during operation (P = 0.007). For the severity of TBI based on GCS scores, 15 patients had severe, 11 patients had moderate and 17 patients had mild TBI. Among the 15 patients with severe TBI, 9 (60%) had unfavorable outcomes. Among the 11 patients with moderate TBI, 4 (36.4%) had unfavorable outcomes. None of the 17 patients with mild TBI had unfavorable outcomes. Vomiting was seen in 13 patients. None of the patients who vomited had unfavorable outcomes. Nine patients had pupils >3 mm. Of these 9 patients, 7 (77.8%) had unfavorable outcomes. Two patients had unilaterally nonreactive pupils of which 1 had an unfavorable outcome. Nine patients had bilaterally nonreactive pupils. Seven of these 9 patients had unfavorable outcomes. Inotropes were used in 8 patients. 7 (87.5%) patients had unfavorable outcomes. Hypotension was recorded in 12 patients. 10 (83.3%) patients had unfavorable outcomes. ICP was raised intraoperatively in 17 patients. 12 (70.6%) had unfavorable outcomes. Six patients required blood transfusion intraoperatively. Five (83.3%) patients had unfavorable outcomes.




Factors that were statistically significant in univariate analysis were examined using a backward stepwise binary logistic regression. [[Table 3]] shows the factors that were statistically significant after logistic regression. On multivariate analysis, only patients who had raised ICP (odds ratio [OR] = 35.6, P = 0.008, 95% confidence interval CI 2.6–493.5) and hypotension (OR = 26.1, P = 0.010, 95% CI 2.2–311.8) emerged to be statistically significant.


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Discussion
This study examined the relationship between different clinical parameters and the outcomes of pediatric TBI patients who required surgery. In our cohort of 43 patients who underwent surgery, it was found that raised ICP and hypotension were significant independent predictors of unfavorable outcomes. Although multiple predictor variables have been reported in the literature, there is no agreement as to which variable is most predictive of outcome. The aim of this study was to find out pertinent clinical parameters that would predict outcomes after TBI in a defined group of pediatric patients. Ultimately, this would improve the focus of management in pediatric TBI patients undergoing surgery.
Despite TBI being a common cause of mortality and morbidity, clinical management of pediatric patients is not as well established as adults. Many authors have reported different results over the past 20 years. An important point of discussion would be the use of GCS scores in predicting outcomes due to its extensive use in daily clinical practice. Initially, GCS was thought to be a significant predictor of outcome in pediatric TBI patients.[[18]] Subsequently, there have been two sides to the story regarding the value of GCS scores in predicting severity.[[14]],[[15]],[[19]] We believe this is due to a few reasons. First, different authors reported GCS scores at different stages of clinical assessment. Ducrocq et al. reported that initial GCS score at presentation was a significant predictor of unfavorable outcome.[[20]] However, Massagli et al. reported that GCS recorded only at 24 and 72 h were significant predictors of outcome.[[18]] Furthermore, the sample population in different studies varied in terms of sample size, age, and patient characteristics. Some studies included patients with only moderate-to-severe GCS scores [[18]],[[21]] while others included all patients regardless of their GCS score.[[5]] The different range of GCS scores coupled with the different target age groups and sample size could have well affected statistical significance. In this study, different pediatric age groups were well represented at each age category had approximately one-third of the sample population. Furthermore, our sample population was specific to those who underwent surgery following TBI. Our results showed that GCS scores were significantly associated with outcomes only on univariate analysis (P = 0.001). This is in line with authors who reported the limited use of GCS scores to predict outcomes of pediatric TBI patients.[[19]]
The same problem with GCS scores is encountered for other factors that have been reported in the literature. A review of the literature showed that common predictor variables investigated include: age, injury severity scores, mechanism of injury, pupil size, vomiting, loss of consciousness, the base of skull fracture, CT findings, blood pressure, and ICP.[[5]],[[11]],[[21]],[[22]] Prasad et al. and Wells et al. reported that age at injury was not a good predictor of outcomes in pediatric TBI patients.[[5]],[[23]] However, Prigatano et al. found that age was the strongest predictor of post-TBI performance in neuropsychological tests in school going children.[[24]] Similarly, pupil size was only found to be a significant predictor in certain studies.[[5]],[[25]] Kamal et al. reported that GCS score, brain CT findings, and hypotension were significant predictors of outcome on univariate analysis in the pediatric population younger than 12 years old.[[26]] In a French trauma center with 585 patients of mean age 7 years, Ducrocq et al. reported that initial hypotension, GCS and injury severity score were significant predictor variables on multivariate analysis.[[20]] Results from this study on univariate analysis were not entirely different from those published. We found that only bilaterally nonreactive pupils were significantly associated with unfavorable outcomes. The presence of unilaterally nonreactive pupils was not a significant factor. Furthermore, the use of inotrope and patients requiring blood transfusion are variables that have not been reported before. It is to the best of our knowledge that the present study included the most number of predictor variables for analysis. Essentially, in the few studies that investigated predictor variables of outcome in pediatric TBI, no consensus has been reached by authors. This presents as a clinical problem as doctors are unaware of important clinical parameters to pay close attention to when managing pediatric TBI patients. Although all clinical parameters should be monitored, there are some that require closer attention.
Perhaps another reason for the dissimilarity in predictor variables is the measure of outcome in pediatric patients post-TBI. Authors reported different follow-up periods as well as different outcome measures. Anderson et al. utilized intellectual measures such as verbal and nonverbal skills, attention and processing speed to examine outcome 5 years postinjury in preschool pediatric TBI patients.[[27]] Prigatano et al. measured outcome based on performance cerebral functioning tests.[[24]] A recent study by Hale et al. measured outcome by the presence of postdischarge seizures.[[28]] The GOS scale is the most commonly used measure of outcome in the literature.[[20]],[[21]] However, it has been reported that the GOS scale underestimates the impact of brain injury in young children [[5]] as it was developed for use in adults.[[29]] In 1981, the GOS scale was modified to the GOS-Extended (GOS-E)[[30]] and a pediatric revision, GOS-E Peds was created and validated by Beers et al.[[31]] However, to the best of our knowledge, very few studies reported the use of GOS-E Peds to measure outcomes.[[32]] The GOS-E Peds has a maximum score of 8 which is more time consuming to conduct than the original GOS scale. In this study, we used a GOS scale modified by Prasad et al. for pediatric patients.[[5]] Although further validation is required, the modifications appeared to have increased the sensitivity of GOS in pediatric TBI outcomes.[[5]] The study shows that the majority of the patients had favorable outcomes (70%) after undergoing a neurosurgical procedure. This result is similar to most of the data published in the literature.[[5]],[[13]],[[20]],[[33]]
Several authors have used stepwise logistic regression to identify variables most predictive of outcome.[[5]],[[18]],[[20]],[[21]] We adopted the same method for our study. The results from the present study found that raised ICP and hypotension were variables most predictive of outcomes. This is similar to the findings of a French trauma center reported by Ducrocq et al. on multivariate analysis.[[20]] White et al. also reported that supra-normal blood pressures and mannitol administration were associated with improved outcomes on multivariate analysis.[[21]] However, both studies only focused on pediatric patients with GCS ≤8. This present study included all patients regardless of GCS scores that underwent any form of neurosurgical procedure. Reduced blood pressure would result in a decrease in cerebral perfusion leading to ischemic brain damage. This increases secondary brain damage which worsens outcome. Furthermore, raised ICP would cause a decrease in cerebral perfusion pressure which has been reported by Carter et al.[[34]] to be an accurate cause of the unfavorable outcome in pediatric TBI patients. Our results show that priority must be given to manage these two clinical parameters in a pediatric TBI patient. Further work needs to be done to accurately identify blood pressure and ICP targets which are more precise in preventing unfavorable outcomes.
There were several limitations in this study. Being a retrospective review in a single-center neurosurgical unit, the sample size was smaller compared to multicenter studies. Larger sample size and multi-center studies should be undertaken to validate the current findings. However, our targeted sample population is the first of its kind which will be beneficial to neurosurgeons. Since our study only included patients who underwent surgery, the results might not apply to pediatric TBI patients managed conservatively. Third, it is also important to recognize that the GOS scale measures neurological and psychiatric disorders.[[35]] Other outcome measures such as quality of life, education level, and social function were not clearly defined in the GOS scale.
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Conclusion
This study is the first of its kind to quantify that raised ICP and hypotension were variables most predictive of unfavorable outcomes in a targeted population of pediatric TBI patients who underwent neurosurgery. Our results also suggest that the majority of pediatric TBI patients who required surgery have favorable outcomes. Neurosurgeons should play closer attention to ICP and blood pressure when managing pediatric TBI patients.
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Conflict of Interest
There are no conflicts of interest.
Financial support and sponsorship
Nil.
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References
- 1 Daoud H, Alharfi I, Alhelali I, Charyk Stewart T, Qasem H, Fraser DD, et al. Brain injury biomarkers as outcome predictors in pediatric severe traumatic brain injury. Neurocrit Care 2014;20:427-35.
- 2 Greenberg JK, Yan Y, Carpenter CR, Lumba-Brown A, Keller MS, Pineda JA, et al. Development and internal validation of a clinical risk score for treating children with mild head trauma and intracranial injury. JAMA Pediatr 2017;171:342-9.
- 3 Wee JZ, Yang YR, Lee QY, Cao K, Chong CT. Demographic profile and extent of healthcare resource utilisation of patients with severe traumatic brain injury: Still a major public health problem. Singapore Med J 2016;57:491-6.
- 4 Araki T, Yokota H, Morita A. Pediatric traumatic brain injury: Characteristic features, diagnosis, and management. Neurol Med Chir (Tokyo) 2017;57:82-93.
- 5 Prasad MR, Ewing-Cobbs L, Swank PR, Kramer L. Predictors of outcome following traumatic brain injury in young children. Pediatr Neurosurg 2002;36:64-74.
- 6 Filley CM, Cranberg LD, Alexander MP, Hart EJ. Neurobehavioral outcome after closed head injury in childhood and adolescence. Arch Neurol 1987;44:194-8.
- 7 Koskiniemi M, Kyykkä T, Nybo T, Jarho L. Long-term outcome after severe brain injury in preschoolers is worse than expected. Arch Pediatr Adolesc Med 1995;149:249-54.
- 8 Kriel RL, Krach LE, Panser LA. Closed head injury: Comparison of children younger and older than 6 years of age. Pediatr Neurol 1989;5:296-300.
- 9 Bruce DA. Head injuries in the pediatric population. Curr Probl Pediatr 1990;20:61-107.
- 10 Astrand R, Undén J, Hesselgard K, Reinstrup P, Romner B. Clinical factors associated with intracranial complications after pediatric traumatic head injury: An observational study of children submitted to a neurosurgical referral unit. Pediatr Neurosurg 2010;46:101-9.
- 11 Chong SL, Barbier S, Liu N, Ong GY, Ng KC, Ong ME, et al. Predictors for moderate to severe paediatric head injury derived from a surveillance registry in the emergency department. Injury 2015;46:1270-4.
- 12 Flaherty BF, Moore HE, Riva-Cambrin J, Bratton SL. Pediatric patients with traumatic epidural hematoma at low risk for deterioration and need for surgical treatment. J Pediatr Surg 2017;52:334-9.
- 13 Ong L, Selladurai BM, Dhillon MK, Atan M, Lye MS. The prognostic value of the glasgow coma scale, hypoxia and computerised tomography in outcome prediction of pediatric head injury. Pediatr Neurosurg 1996;24:285-91.
- 14 Heather NL, Derraik JG, Beca J, Hofman PL, Dansey R, Hamill J, et al. Glasgow coma scale and outcomes after structural traumatic head injury in early childhood. PLoS One 2013;8:e82245.
- 15 Moran LM, Babikian T, Del Piero L, Ellis MU, Kernan CL, Newman N, et al. The UCLA study of predictors of cognitive functioning following moderate/Severe pediatric traumatic brain injury. J Int Neuropsychol Soc 2016;22:512-9.
- 16 Bennett TD, DeWitt PE, Greene TH, Srivastava R, Riva-Cambrin J, Nance ML, et al. Functional outcome after intracranial pressure monitoring for children with severe traumatic brain injury. JAMA Pediatr 2017;171:965-71.
- 17 Taylor A, Butt W, Rosenfeld J, Shann F, Ditchfield M, Lewis E, et al. A randomized trial of very early decompressive craniectomy in children with traumatic brain injury and sustained intracranial hypertension. Childs Nerv Syst 2001;17:154-62.
- 18 Massagli TL, Michaud LJ, Rivara FP. Association between injury indices and outcome after severe traumatic brain injury in children. Arch Phys Med Rehabil 1996;77:125-32.
- 19 Lieh-Lai MW, Theodorou AA, Sarnaik AP, Meert KL, Moylan PM, Canady AI, et al. Limitations of the glasgow coma scale in predicting outcome in children with traumatic brain injury. J Pediatr 1992;120:195-9.
- 20 Ducrocq SC, Meyer PG, Orliaguet GA, Blanot S, Laurent-Vannier A, Renier D, et al. Epidemiology and early predictive factors of mortality and outcome in children with traumatic severe brain injury: Experience of a french pediatric trauma center. Pediatr Crit Care Med 2006;7:461-7.
- 21 White JR, Farukhi Z, Bull C, Christensen J, Gordon T, Paidas C, et al. Predictors of outcome in severely head-injured children. Crit Care Med 2001;29:534-40.
- 22 Pillai S, Praharaj SS, Mohanty A, Kolluri VR. Prognostic factors in children with severe diffuse brain injuries: A study of 74 patients. Pediatr Neurosurg 2001;34:98-103.
- 23 Wells R, Minnes P, Phillips M. Predicting social and functional outcomes for individuals sustaining paediatric traumatic brain injury. Dev Neurorehabil 2009;12:12-23.
- 24 Prigatano GP, Gray JA. Predictors of performance on three developmentally sensitive neuropsychological tests in children with and without traumatic brain injury. Brain Inj 2008;22:491-500.
- 25 Fulkerson DH, White IK, Rees JM, Baumanis MM, Smith JL, Ackerman LL, et al. Analysis of long-term (median 10.5 years) outcomes in children presenting with traumatic brain injury and an initial glasgow coma scale score of 3 or 4. J Neurosurg Pediatr 2015;16:410-9.
- 26 Kamal H, Mardini A, Aly BM. Traumatic brain injury in pediatric age group; predictors of outcome in pediatric intensive care unit. Libyan J Med 2007;2:90-4.
- 27 Anderson V, Catroppa C, Morse S, Haritou F, Rosenfeld JV. Intellectual outcome from preschool traumatic brain injury: A 5-year prospective, longitudinal study. Pediatrics 2009;124:e1064-71.
- 28 Hale AT, Pekala K, Theobald B, Kelly K, Wolf M, Wellons JC, et al. Predictors of post-discharge seizures in children with traumatic brain injury. Childs Nerv Syst 2018;34:1361-5.
- 29 Jennett B, Bond M. Assessment of outcome after severe brain damage. Lancet 1975;1:480-4.
- 30 Jennett B, Snoek J, Bond MR, Brooks N. Disability after severe head injury: Observations on the use of the glasgow outcome scale. J Neurol Neurosurg Psychiatry 1981;44:285-93.
- 31 Beers SR, Wisniewski SR, Garcia-Filion P, Tian Y, Hahner T, Berger RP, et al. Validity of a pediatric version of the glasgow outcome scale-extended. J Neurotrauma 2012;29:1126-39.
- 32 Slovis JC, Gupta N, Li NY, Kernie SG, Miles DK. Assessment of recovery following pediatric traumatic brain injury. Pediatr Crit Care Med 2018;19:353-60.
- 33 Khan SA, Shallwani H, Shamim MS, Murtaza G, Enam SA, Qureshi RO, et al. Predictors of poor outcome of decompressive craniectomy in pediatric patients with severe traumatic brain injury: A retrospective single center study from Pakistan. Childs Nerv Syst 2014;30:277-81.
- 34 Carter BG, Butt W, Taylor A. ICP and CPP: Excellent predictors of long term outcome in severely brain injured children. Childs Nerv Syst 2008;24:245-51.
- 35 Ferrara P, Basile MC, Dell'Aquila L, Vena F, Coppo E, Chiaretti A, et al. Traumatic brain injury in children: Role of CDRs-PECARN as a clinical predictive resource for evaluation of intracranical lesions and neuropsychiatric outcomes. Pediatr Neurosurg 2016;51:249-52.
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Article published online:
09 September 2022
© 2019. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Daoud H, Alharfi I, Alhelali I, Charyk Stewart T, Qasem H, Fraser DD, et al. Brain injury biomarkers as outcome predictors in pediatric severe traumatic brain injury. Neurocrit Care 2014;20:427-35.
- 2 Greenberg JK, Yan Y, Carpenter CR, Lumba-Brown A, Keller MS, Pineda JA, et al. Development and internal validation of a clinical risk score for treating children with mild head trauma and intracranial injury. JAMA Pediatr 2017;171:342-9.
- 3 Wee JZ, Yang YR, Lee QY, Cao K, Chong CT. Demographic profile and extent of healthcare resource utilisation of patients with severe traumatic brain injury: Still a major public health problem. Singapore Med J 2016;57:491-6.
- 4 Araki T, Yokota H, Morita A. Pediatric traumatic brain injury: Characteristic features, diagnosis, and management. Neurol Med Chir (Tokyo) 2017;57:82-93.
- 5 Prasad MR, Ewing-Cobbs L, Swank PR, Kramer L. Predictors of outcome following traumatic brain injury in young children. Pediatr Neurosurg 2002;36:64-74.
- 6 Filley CM, Cranberg LD, Alexander MP, Hart EJ. Neurobehavioral outcome after closed head injury in childhood and adolescence. Arch Neurol 1987;44:194-8.
- 7 Koskiniemi M, Kyykkä T, Nybo T, Jarho L. Long-term outcome after severe brain injury in preschoolers is worse than expected. Arch Pediatr Adolesc Med 1995;149:249-54.
- 8 Kriel RL, Krach LE, Panser LA. Closed head injury: Comparison of children younger and older than 6 years of age. Pediatr Neurol 1989;5:296-300.
- 9 Bruce DA. Head injuries in the pediatric population. Curr Probl Pediatr 1990;20:61-107.
- 10 Astrand R, Undén J, Hesselgard K, Reinstrup P, Romner B. Clinical factors associated with intracranial complications after pediatric traumatic head injury: An observational study of children submitted to a neurosurgical referral unit. Pediatr Neurosurg 2010;46:101-9.
- 11 Chong SL, Barbier S, Liu N, Ong GY, Ng KC, Ong ME, et al. Predictors for moderate to severe paediatric head injury derived from a surveillance registry in the emergency department. Injury 2015;46:1270-4.
- 12 Flaherty BF, Moore HE, Riva-Cambrin J, Bratton SL. Pediatric patients with traumatic epidural hematoma at low risk for deterioration and need for surgical treatment. J Pediatr Surg 2017;52:334-9.
- 13 Ong L, Selladurai BM, Dhillon MK, Atan M, Lye MS. The prognostic value of the glasgow coma scale, hypoxia and computerised tomography in outcome prediction of pediatric head injury. Pediatr Neurosurg 1996;24:285-91.
- 14 Heather NL, Derraik JG, Beca J, Hofman PL, Dansey R, Hamill J, et al. Glasgow coma scale and outcomes after structural traumatic head injury in early childhood. PLoS One 2013;8:e82245.
- 15 Moran LM, Babikian T, Del Piero L, Ellis MU, Kernan CL, Newman N, et al. The UCLA study of predictors of cognitive functioning following moderate/Severe pediatric traumatic brain injury. J Int Neuropsychol Soc 2016;22:512-9.
- 16 Bennett TD, DeWitt PE, Greene TH, Srivastava R, Riva-Cambrin J, Nance ML, et al. Functional outcome after intracranial pressure monitoring for children with severe traumatic brain injury. JAMA Pediatr 2017;171:965-71.
- 17 Taylor A, Butt W, Rosenfeld J, Shann F, Ditchfield M, Lewis E, et al. A randomized trial of very early decompressive craniectomy in children with traumatic brain injury and sustained intracranial hypertension. Childs Nerv Syst 2001;17:154-62.
- 18 Massagli TL, Michaud LJ, Rivara FP. Association between injury indices and outcome after severe traumatic brain injury in children. Arch Phys Med Rehabil 1996;77:125-32.
- 19 Lieh-Lai MW, Theodorou AA, Sarnaik AP, Meert KL, Moylan PM, Canady AI, et al. Limitations of the glasgow coma scale in predicting outcome in children with traumatic brain injury. J Pediatr 1992;120:195-9.
- 20 Ducrocq SC, Meyer PG, Orliaguet GA, Blanot S, Laurent-Vannier A, Renier D, et al. Epidemiology and early predictive factors of mortality and outcome in children with traumatic severe brain injury: Experience of a french pediatric trauma center. Pediatr Crit Care Med 2006;7:461-7.
- 21 White JR, Farukhi Z, Bull C, Christensen J, Gordon T, Paidas C, et al. Predictors of outcome in severely head-injured children. Crit Care Med 2001;29:534-40.
- 22 Pillai S, Praharaj SS, Mohanty A, Kolluri VR. Prognostic factors in children with severe diffuse brain injuries: A study of 74 patients. Pediatr Neurosurg 2001;34:98-103.
- 23 Wells R, Minnes P, Phillips M. Predicting social and functional outcomes for individuals sustaining paediatric traumatic brain injury. Dev Neurorehabil 2009;12:12-23.
- 24 Prigatano GP, Gray JA. Predictors of performance on three developmentally sensitive neuropsychological tests in children with and without traumatic brain injury. Brain Inj 2008;22:491-500.
- 25 Fulkerson DH, White IK, Rees JM, Baumanis MM, Smith JL, Ackerman LL, et al. Analysis of long-term (median 10.5 years) outcomes in children presenting with traumatic brain injury and an initial glasgow coma scale score of 3 or 4. J Neurosurg Pediatr 2015;16:410-9.
- 26 Kamal H, Mardini A, Aly BM. Traumatic brain injury in pediatric age group; predictors of outcome in pediatric intensive care unit. Libyan J Med 2007;2:90-4.
- 27 Anderson V, Catroppa C, Morse S, Haritou F, Rosenfeld JV. Intellectual outcome from preschool traumatic brain injury: A 5-year prospective, longitudinal study. Pediatrics 2009;124:e1064-71.
- 28 Hale AT, Pekala K, Theobald B, Kelly K, Wolf M, Wellons JC, et al. Predictors of post-discharge seizures in children with traumatic brain injury. Childs Nerv Syst 2018;34:1361-5.
- 29 Jennett B, Bond M. Assessment of outcome after severe brain damage. Lancet 1975;1:480-4.
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