White matter characteristics in children with cerebral palsy prior to selective dorsal rhizotomy: a multicenter diffusion tensor imaging study.

OBJECTIVE: The aims of this study were to 1) assess and quantify white matter (WM) microstructural characteristics derived from diffusion tensor imaging (DTI) in children with cerebral palsy (CP) prior to selective dorsal rhizotomy (SDR), and 2) investigate potential associations between WM diffusion properties and gross motor function and spasticity in children with spastic CP who underwent SDR. METHODS: This study is a multisite study based on DT images acquired prior to SDR as well as postoperative outcome data. DTI data collected from two sites were harmonized using the ComBat approach to minimize intersite scanner difference. The DTI abnormalities between children with spastic CP and controls were analyzed and correlated with the severity of impaired mobility based on the Gross Motor Function Classification System (GMFCS). The improvement in gross motor function and spasticity after SDR surgery was assessed utilizing the Gross Motor Function Measure-66 (GMFM-66), the Modified Tardieu Scale (MTS), and the modified Ashworth scale (MAS). Alterations in these outcome measures were quantified in association with DTI abnormalities. RESULTS: Significant DTI alterations, including lower fractional anisotropy (FA) in the genu of the corpus callosum (gCC) and higher mean diffusivity (MD) in the gCC and posterior limb of the internal capsule (PLIC), were found in children in the SDR group when compared with the age-matched control group (all p < 0.05). Greater DTI alterations (FA in gCC and MD in gCC and PLIC) were associated with lower mobility levels as determined based on GMFCS level (p < 0.05). The pre- to post-SDR improvement in motor function based on GMFM-66 was statistically significant (p = 0.006 and 0.002 at 6-month and 12-month follow-ups, respectively). The SDR efficacy was also identified as improving spasticity in lower-extremity muscle groups assessed with the MTS and MAS. Partial correlation analysis presented a significant association between pre- to post-SDR MTS alteration and DTI abnormalities. CONCLUSIONS: The findings in the present study provided initial quantitative evidence to establish the WM microstructural characteristics in children with spastic CP prior to SDR surgery. The study generated data for the association between baseline DTI characteristics and mobility in children with CP prior to SDR surgery. The study also demonstrated SDR efficacy in improving motor function and spasticity based on the GMFM-66, MTS, and MAS, respectively, in association with DTI data.

The Use of Methylphenidate During Inpatient Rehabilitation After Pediatric Traumatic Brain Injury: Population Characteristics and Prescribing Patterns.

OBJECTIVE: To understand how methylphenidate (MPH) is used in youth with traumatic brain injury (TBI) during inpatient pediatric rehabilitation. SETTING: Inpatient pediatric rehabilitation. PARTICIPANTS: In total, 234 children with TBI; 62 of whom received MPH and 172 who did not. Patients were on average 11.6 years of age (range, 2 months to 21 years); 88 of 234 were female; the most common mechanism of injury was motor vehicle collision (49%); median (IQR) acute hospital length of stay (LOS) and inpatient rehabilitation LOS were 16 (10-29) and 23 (14-39), respectively; 51 of 234 were in a disorder of consciousness cognitive state at time of inpatient rehabilitation admission. DESIGN: Multicenter, retrospective medical record review. MAIN MEASURES: Patient demographic data, time to inpatient pediatric rehabilitation admission (TTA), cognitive state, MPH dosing (mg/kg/day). RESULTS: Patients who received MPH were older (P = .011); TTA was significantly longer in patients who received MPH than those who did not (P =.002). The lowest recorded dose range by weight was 0.05 to 0.89 mg/kg/d, representing an 18-fold difference; the weight-based range for the maximum dose was 0.11 to 0.97 mg/kg/d, a 9-fold difference. Patients in lower cognitive states at admission (P = .001) and at discharge (P = .030) were more likely to receive MPH. Five patients had side effects known to be associated with MPH; no serious adverse events were reported. CONCLUSION: This multicenter study indicates that there is variable use of MPH during acute inpatient rehabilitation for children with TBI. Children who receive MPH tend to be older with lower cognitive states. Dosing practices are likely consistent with underdosing. Clinical indications for MPH use during inpatient pediatric rehabilitation should be better defined. The use of MPH, as well as its combination with other medications and treatments, during inpatient rehabilitation needs to be further explored.

The feasibility and acceptability of integrating dogs into inpatient rehabilitation therapy with children with acquired brain injury.

INTRODUCTION: Children with acquired brain injury (ABI) are at risk for poor therapeutic engagement due to cognitive impairment, affect lability, pain, and fatigue. Animal-assisted therapy (AAT) has the potential to improve patient engagement in rehabilitation therapies; however, the feasibility of integrating AAT into the rigorous therapy schedule of inpatient clinical care or its reception by patients, families, and staff is unknown. OBJECTIVE: To examine the feasibility and acceptability of incorporating dogs into physical therapy and occupational therapy sessions with pediatric patients being treated on an inpatient rehabilitation unit for acquired brain injury. DESIGN: A feasibility study of AAT within the context of a within-subjects crossover study. SETTING: Pediatric inpatient rehabilitation unit. PARTICIPANTS: Sixteen patients, aged 7-28 years (mean = 13.6 years, standard deviation [SD] = 5.2 years; 50% male), being treated on the inpatient rehabilitation unit following ABI. INTERVENTION: AAT - the integration of dogs into inpatient physical therapy and occupational therapy sessions. MAIN OUTCOME MEASURES: Feasibility measures: enrollment rate, the proportion of AAT sessions a dog attended, adverse events, instances where therapist or handler ended session early, patient animal closeness, and utilization of dog in session. Satisfaction measures: parent satisfaction questionnaires and therapist feedback. RESULTS: Feasibility was supported by high enrollment rate (88.9%) and dog attendance rate of 93%-95%; 84.3% of sessions used the dog in multiple ways and patients reported a high level of closeness with the dog in session, indicating that the dogs were integrated in meaningful ways. No adverse events were noted, therapists reported that intervention was convenient, and clinical care was not negatively impacted. A high level of satisfaction was reported by families and therapists. CONCLUSIONS: Findings suggest that AAT is feasible and acceptable, and it may be a valuable tool for therapists working with patients with ABI on an inpatient rehabilitation unit.

Emerging methods for measuring physical activity using accelerometry in children and adolescents with neuromotor disorders: a narrative review.

BACKGROUND: Children and adolescents with neuromotor disorders need regular physical activity to maintain optimal health and functional independence throughout their development. To this end, reliable measures of physical activity are integral to both assessing habitual physical activity and testing the efficacy of the many interventions designed to increase physical activity in these children. Wearable accelerometers have been used for children with neuromotor disorders for decades; however, studies most often use disorder-specific cut points to categorize physical activity intensity, which lack generalizability to a free-living environment. No reviews of accelerometer data processing methods have discussed the novel use of machine learning techniques for monitoring physical activity in children with neuromotor disorders. METHODS: In this narrative review, we discuss traditional measures of physical activity (including questionnaires and objective accelerometry measures), the limitations of standard analysis for accelerometry in this unique population, and the potential benefits of applying machine learning approaches. We also provide recommendations for using machine learning approaches to monitor physical activity. CONCLUSIONS: While wearable accelerometers provided a much-needed method to quantify physical activity, standard cut point analyses have limitations in children with neuromotor disorders. Machine learning models are a more robust method of analyzing accelerometer data in pediatric neuromotor disorders and using these methods over disorder-specific cut points is likely to improve accuracy of classifying both type and intensity of physical activity. Notably, there remains a critical need for further development of classifiers for children with more severe motor impairments, preschool aged children, and children in hospital settings.

A big data approach to evaluate receipt of optimal care in childhood cerebral palsy.

PURPOSE: Through automated electronic health record (EHR) data extraction and analysis, this project systematically quantified actual care delivery for children with cerebral palsy (CP) and evaluated alignment with current evidence-based recommendations. METHODS: Utilizing EHR data for over 8000 children with CP, we developed an approach to define and quantify receipt of optimal care, and pursued proof-of-concept with two children with unilateral CP, Gross Motor Function Classification System (GMFCS) Level II. Optimal care was codified as a cluster of four components including physical medicine and rehabilitation (PMR) care, spasticity management, physical therapy (PT), and occupational therapy (OT). A Receipt of Care Score (ROCS) quantified the degree of adherence to recommendations and was compared with the Pediatric Outcomes Data Collection Instrument (PODCI) and Pediatric Quality of Life Inventory (PEDS QL). RESULTS: The two children (12 year old female, 13 year old male) had nearly identical PMR and spasticity component scores while PT and OT scores were more divergent. Functional outcomes were higher for the child who had higher adjusted ROCS. CONCLUSIONS: ROCSs demonstrate variation in real-world care delivered over time and differentiate between components of care. ROCSs reflect overall function and quality of life. The ROCS methods developed are novel, robust, and scalable and will be tested in a larger sample.IMPLICATIONS FOR REHABILITATIONOptimal practice, with an emphasis on integrated multidisciplinary care, can be defined and quantified utilizing evidence-based recommendations.Receipt of optimal care for childhood cerebral palsy can be scored using existing electronic health record data.Big Data approaches can contribute to the understanding of current care and inform approaches for improved care.

Rest and exercise early after sport-related concussion: a systematic review and meta-analysis.

OBJECTIVE: To synthesise the evidence regarding the risks and benefits of physical activity (PA), prescribed aerobic exercise treatment, rest, cognitive activity and sleep during the first 14 days after sport-related concussion (SRC). DESIGN: Meta-analysis was performed for PA/prescribed exercise interventions and a narrative synthesis for rest, cognitive activity and sleep. Risk of bias (ROB) was determined using the Scottish Intercollegiate Guidelines Network and quality assessed using Grading of Recommendations, Assessment, Development and Evaluations. DATA SOURCES: MEDLINE, Embase, APA PsycInfo, Cochrane Central Register of Controlled Trials, CINAHL Plus and SPORTDiscus. Searches were conducted in October 2019 and updated in March 2022. ELIGIBILITY CRITERIA: Original research articles with sport-related mechanism of injury in >50% of study sample and that evaluated how PA, prescribed exercise, rest, cognitive activity and/or sleep impact recovery following SRC. Reviews, conference proceedings, commentaries, editorials, case series, animal studies and articles published before 1 January 2001 were excluded. RESULTS: 46 studies were included and 34 had acceptable/low ROB. Prescribed exercise was assessed in 21 studies, PA in 15 studies (6 PA/exercise studies also assessed cognitive activity), 2 assessed cognitive activity only and 9 assessed sleep. In a meta-analysis of seven studies, PA and prescribed exercise improved recovery by a mean of -4.64 days (95% CI -6.69, -2.59). After SRC, early return to light PA (initial 2 days), prescribed aerobic exercise treatment (days 2-14) and reduced screen use (initial 2 days) safely facilitate recovery. Early prescribed aerobic exercise also reduces delayed recovery, and sleep disturbance is associated with slower recovery. CONCLUSION: Early PA, prescribed aerobic exercise and reduced screen time are beneficial following SRC. Strict physical rest until symptom resolution is not effective, and sleep disturbance impairs recovery after SRC. PROSPERO REGISTRATION NUMBER: CRD42020158928.

The American Congress of Rehabilitation Medicine Diagnostic Criteria for Mild Traumatic Brain Injury.

OBJECTIVE: To develop new diagnostic criteria for mild traumatic brain injury (TBI) that are appropriate for use across the lifespan and in sports, civilian trauma, and military settings. DESIGN: Rapid evidence reviews on 12 clinical questions and Delphi method for expert consensus. PARTICIPANTS: The Mild Traumatic Brain Injury Task Force of the American Congress of Rehabilitation Medicine Brain Injury Special Interest Group convened a Working Group of 17 members and an external interdisciplinary expert panel of 32 clinician-scientists. Public stakeholder feedback was analyzed from 68 individuals and 23 organizations. RESULTS: The first 2 Delphi votes asked the expert panel to rate their agreement with both the diagnostic criteria for mild TBI and the supporting evidence statements. In the first round, 10 of 12 evidence statements reached consensus agreement. Revised evidence statements underwent a second round of expert panel voting, where consensus was achieved for all. For the diagnostic criteria, the final agreement rate, after the third vote, was 90.7%. Public stakeholder feedback was incorporated into the diagnostic criteria revision prior to the third expert panel vote. A terminology question was added to the third round of Delphi voting, where 30 of 32 (93.8%) expert panel members agreed that 'the diagnostic label 'concussion' may be used interchangeably with 'mild TBI' when neuroimaging is normal or not clinically indicated.' CONCLUSIONS: New diagnostic criteria for mild TBI were developed through an evidence review and expert consensus process. Having unified diagnostic criteria for mild TBI can improve the quality and consistency of mild TBI research and clinical care.

Using Billing Codes to Create a Pediatric Functional Status e-Score for Children Receiving Inpatient Rehabilitation.

OBJECTIVE: Provide proof-of-concept for development of a Pediatric Functional Status eScore (PFSeS). Demonstrate that expert clinicians rank billing codes as relevant to patient functional status and identify the domains that codes inform in a way that reliably matches analytical modeling. DESIGN: Retrospective chart review, modified Delphi, and nominal group techniques. SETTING: Large, urban, quaternary care children's hospital in the Midwestern United States. PARTICIPANTS: Data from 1955 unique patients and 2029 hospital admissions (2000-2020); 12 expert consultants representing the continuum of rehabilitation care reviewed 2893 codes (procedural, diagnostic, pharmaceutical, durable medical equipment). MAIN OUTCOME MEASURES: Consensus voting to determine whether codes were associated with functional status at discharge and, if so, what domains they informed (self-care, mobility, cognition/ communication). RESULTS: The top 250 and 500 codes identified by statistical modeling were mostly composed of codes selected by the consultant panel (78%-80% of the top 250 and 71%-78% of the top 500). The results provide evidence that clinical experts' selection of functionally meaningful codes corresponds with codes selected by statistical modeling as most strongly associated with WeeFIM domain scores. The top 5 codes most strongly related to functional independence ratings from a domain-specific assessment indicate clinically sensible relationships, further supporting the use of billing data in modeling to create a PFSeS. CONCLUSIONS: Development of a PFSeS that is predicated on billing data would improve researchers' ability to assess the functional status of children who receive inpatient rehabilitation care for a neurologic injury or illness. An expert clinician panel, representing the spectrum of medical and rehabilitative care, indicated that proposed statistical modeling identifies relevant codes mapped to 3 important domains: self-care, mobility, and cognition/communication.

Return to School After Traumatic Brain Injury: Description of Implementation Settings.

OBJECTIVE: Children who experience traumatic brain injury (TBI) of any severity may need accommodations when they return to school-the setting that manages academic achievement and learning. However, variations exist in current return to school (RTS) programs that address a child's transition to school following TBI. This article describes some of these return to school (RTS) programs and how they vary by setting. DESIGN: This article provides insights from a modified evaluability assessment that examined RTS programs and their readiness for rigorous evaluation. A secondary analysis was conducted to better describe the types and location of programs examined. RESULTS: Differences exist in program structure, access, and how care for children is monitored over time. RTS programs that serve children following TBI are located in healthcare settings, schools, and state agencies and vary in models of care due to their location and organizational structure. CONCLUSIONS: Children who experience TBI benefit from a healthcare assessment and follow-up upon RTS that includes parental involvement. Models of care for this process vary based on program location and organizational structure. Further research and program evaluation are needed to better understand effectiveness and how to optimally monitor and care for children returning to school after a concussion or TBI.

Brain-derived neurotrophic factor Val66Met and neuropsychological functioning after early childhood traumatic brain injury.

OBJECTIVE: The present study examined the differential effect of the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism on neuropsychological functioning in children with traumatic brain injury (TBI) relative to orthopedic injury (OI). METHODS: Participants were drawn from a prospective, longitudinal study of children who sustained a TBI (n = 69) or OI (n = 72) between 3 and 7 years of age. Children completed a battery of neuropsychological measures targeting attention, memory, and executive functions at four timepoints spanning the immediate post-acute period to 18 months post-injury. Children also completed a comparable age-appropriate battery of measures approximately 7 years post-injury. Parents rated children's dysexecutive behaviors at all timepoints. RESULTS: Longitudinal mixed models revealed a significant allele status × injury group interaction with a medium effect size for verbal fluency. Cross-sectional models at 7 years post-injury revealed non-significant but medium effect sizes for the allele status x injury group interaction for fluid reasoning and immediate and delayed verbal memory. Post hoc stratified analyses revealed a consistent pattern of poorer neuropsychological functioning in Met carriers relative to Val/Val homozygotes in the TBI group, with small effect sizes; the opposite trend or no appreciable effect was observed in the OI group. CONCLUSIONS: The results suggest a differential effect of the BDNF Val66Met polymorphism on verbal fluency, and possibly fluid reasoning and immediate and delayed verbal memory, in children with early TBI relative to OI. The Met allele-associated with reduced activity-dependent secretion of BDNF-may confer risk for poorer neuropsychological functioning in children with TBI.

Gross motor function prediction using natural language processing in cerebral palsy.

AIM: To predict ambulatory status and Gross Motor Function Classification System (GMFCS) levels in patients with cerebral palsy (CP) by applying natural language processing (NLP) to electronic health record (EHR) clinical notes. METHOD: Individuals aged 8 to 26 years with a diagnosis of CP in the EHR between January 2009 and November 2020 (~12 years of data) were included in a cross-sectional retrospective cohort of 2483 patients. The cohort was divided into train-test and validation groups. Positive predictive value, sensitivity, specificity, and area under the receiver operating curve (AUC) were calculated for prediction of ambulatory status and GMFCS levels. RESULTS: The median age was 15 years (interquartile range 10-20 years) for the total cohort, with 56% being male and 75% White. The validation group resulted in 70% sensitivity, 88% specificity, 81% positive predictive value, and 0.89 AUC for predicting ambulatory status. NLP applied to the EHR differentiated between GMFCS levels I-II and III (15% sensitivity, 96% specificity, 46% positive predictive value, and 0.71 AUC); and IV and V (81% sensitivity, 51% specificity, 70% positive predictive value, and 0.75 AUC). INTERPRETATION: NLP applied to the EHR demonstrated excellent differentiation between ambulatory and non-ambulatory status, and good differentiation between GMFCS levels I-II and III, and IV and V. Clinical use of NLP may help to individualize functional characterization and management. WHAT THIS PAPER ADDS: Natural language processing (NLP) applied to the electronic health record (EHR) can predict ambulatory status in children with cerebral palsy (CP). NLP provides good prediction of Gross Motor Function Classification System level in children with CP using the EHR. NLP methods described could be integrated in an EHR system to provide real-time information.

Developing a National Trauma Research Action Plan: Results from the long-term outcomes research gap Delphi survey.

BACKGROUND: In the National Academies of Sciences, Engineering, and Medicine 2016 report on trauma care, the establishment of a National Trauma Research Action Plan to strengthen and guide future trauma research was recommended. To address this recommendation, the Department of Defense funded the Coalition for National Trauma Research to generate a comprehensive research agenda spanning the continuum of trauma and burn care. We describe the gap analysis and high-priority research questions generated from the National Trauma Research Action Plan panel on long-term outcomes. METHODS: Experts in long-term outcomes were recruited to identify current gaps in long-term trauma outcomes research, generate research questions, and establish the priority for these questions using a consensus-driven, Delphi survey approach from February 2021 to August 2021. Panelists were identified using established Delphi recruitment guidelines to ensure heterogeneity and generalizability including both military and civilian representation. Panelists were encouraged to use a PICO format to generate research questions: Patient/Population, Intervention, Compare/Control, and Outcome model. On subsequent surveys, panelists were asked to prioritize each research question on a 9-point Likert scale, categorized to represent low-, medium-, and high-priority items. Consensus was defined as ≥60% of panelists agreeing on the priority category. RESULTS: Thirty-two subject matter experts generated 482 questions in 17 long-term outcome topic areas. By Round 3 of the Delphi, 359 questions (75%) reached consensus, of which 107 (30%) were determined to be high priority, 252 (70%) medium priority, and 0 (0%) low priority. Substance abuse and pain was the topic area with the highest number of questions. Health services (not including mental health or rehabilitation) (64%), mental health (46%), and geriatric population (43%) were the topic areas with the highest proportion of high-priority questions. CONCLUSION: This Delphi gap analysis of long-term trauma outcomes research identified 107 high-priority research questions that will help guide investigators in future long-term outcomes research. LEVEL OF EVIDENCE: Diagnostic Tests or Criteria; Level IV.

Usage Patterns of an mHealth Symptom Monitoring App Among Adolescents With Acute Mild Traumatic Brain Injuries.

OBJECTIVE: To understand usage patterns of SMART (Self-Monitoring Activity Regulation and Relaxation Treatment) mHealth app among adolescents with acute mild traumatic brain injuries (mTBIs) and to identify individual characteristics that influenced app usage. SETTING: Emergency departments of tertiary care children's medical center. PARTICIPANTS: Children aged 11 to 18 years with mTBI in the past 2 weeks, English-speaking, no evidence of severe TBI, and no preexisting neurological impairment. DESIGN: Nested cohort of the intervention arm of a randomized clinical trial (n = 34). MHEALTH APP INTERVENTION: SMART was a month-long educational program on mTBI designed to promote self-monitoring and management of recovery. SMART included digital symptom and activity self-monitoring surveys, feedback on symptom changes, and 8 modules providing psychoeducation, strategies for symptom management, and training in active problem solving. MAIN MEASURES: App usage time, navigation, and interaction data were automatically collected. Usage involved inputting symptom ratings/activities and reviewing modules. Patterns of symptom/activity reporting and completion of learning modules data were analyzed. Predictors of app utilization, including individual characteristics, resilience (Connor-Davidson Resilience Scale), and coping (Coping Strategies Inventory-Short Form), were analyzed using Spearman correlations. RESULTS: Participants completed symptom monitoring an average of 9 days over the month. Participants completed an average of 1.87 learning modules out of 7. Parent income and education, comorbid attention-deficit/hyperactivity disorder (ADHD), and emotional engagement coping style predicted symptom monitoring. Parental income, comorbid ADHD, and greater reliance on emotional engagement coping predicted module completion. SIGNIFICANT ADVERSE EVENTS: None. CONCLUSION: Adolescents of higher socioeconomic status and those who manage their emotions using active engagement spent more time on both components of the SMART program.

The Impact of Preinjury and Secondary Attention-Deficit/Hyperactivity Disorder on Outcomes After Pediatric Traumatic Brain Injury.

OBJECTIVE: The objective of this study was to examine the impact of preinjury attention-deficit/hyperactivity disorder (PADHD) and secondary ADHD (SADHD) on outcomes after pediatric traumatic brain injury (TBI). METHODS: Two hundred eighty-four individuals aged 11 to 18 years hospitalized overnight for a moderate-to-severe TBI were included in this study. Parents completed measures of child behavior and functioning and their own functioning. Linear models examined the effect of ADHD status (PADHD vs SADHD vs no ADHD) on the child's executive functioning (EF), social competence, and functional impairment, and parental depression and distress. RESULTS: ADHD status had a significant effect on EF [F(2,269] = 9.19, p = 0.0001), social competence (F[2,263] = 32.28, p < 0.0001), functional impairment (F[2,269] = 16.82, p < 0.0001), parental depression (F[2,263] = 5.53, p = 0.005), and parental distress (F[2,259] = 3.57, p = 0.03). PADHD and SADHD groups had greater EF deficits, poorer social competence, and greater functional impairment than the no ADHD group. The SADHD group had greater levels of parental depression than the no ADHD and PADHD groups, and the SADHD group had higher parental distress than the no ADHD group. CONCLUSION: The results highlight the importance of early identification and management of ADHD symptoms after injury to mitigate downstream functional problems. Supporting parents managing new-onset ADHD symptoms may also be important.

Brain-Derived Neurotrophic Factor Val66Met and Behavioral Adjustment after Early Childhood Traumatic Brain Injury.

The present study examined the differential effect of the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism on behavioral adjustment in children with traumatic brain injury (TBI) relative to children with orthopedic injury (OI). Participants were drawn from a prospective, longitudinal study of children who sustained a TBI (n = 69) or OI (n = 72) between 3 and 7 years of age. Parents completed the Child Behavior Checklist (CBCL) at the immediate post-acute period, 6, 12, and 18 months after injury, and an average of 3.5 and 7 years after injury. Longitudinal mixed models examined the BDNF Val66Met allele status (Met carriers vs. Val/Val homozygotes) × injury group (TBI vs. OI) interaction in association with behavioral adjustment. After adjusting for continental ancestry, socioeconomic status, time post-injury, and pre-injury functioning, the allele status × injury group interaction was statistically significant for Internalizing, Externalizing, and Total Behavior problems. Post hoc within-group analysis suggested a consistent trend of poorer behavioral adjustment in Met carriers relative to Val/Val homozygotes in the TBI group; in contrast, the opposite trend was observed in the OI group. These within-group differences, however, did not reach statistical significance. The results support a differential effect of the BDNF Val66Met polymorphism on behavioral adjustment in children with early TBI relative to OI, and suggest that the Met allele associated with reduced activity-dependent secretion of BDNF may impart risk for poorer long-term behavioral adjustment in children with TBI.

Adolescent and Parent Perceptions of the Impact of Concussion/mTBI on Family Functioning and Activity Levels in Recovery.

OBJECTIVE: To explore adolescent and parent perceptions of the impact of a concussion/mild traumatic brain injury (mTBI) on family functioning and activity levels in the first 4 weeks of recovery. SETTING: Outpatient research setting. PARTICIPANTS: Twenty-seven adolescents (aged of 13-17 years) within 1 week of a concussion/mTBI and a parent/guardian were enrolled in the study. DESIGN: Prospective ecological study with qualitative, semistructured interviews. MAIN MEASURES: Adolescents reported symptoms electronically every 2 days for 28 days via the Post-Concussion Symptom Inventory. Semistructured interviews were completed with each adolescent-parent dyad at the end of the 28-day period. Interview questions focused on perceptions of recovery progress and study procedures. RESULTS: Symptom trajectories were variable across participants. Three main themes emerged from thematic analysis, including: (1) disruption of routines and activities, (2) injury management considerations, and (3) positive and negative influential factors (eg, school and coach support, timing of injury, and recovery expectations). Results highlighted nuances of recovery challenges that families specifically face and help emphasize the potential benefits of shared decision-making and where more guidance would be appreciated such as more specific self-management of symptoms and physical activity reintegration strategies. CONCLUSIONS: Study findings support a shared decision-making approach with the identified themes as potential topics to help consider social and environmental influences on recovery. The themes presented in the results could be topics emphasized during intake and follow-up visit processes to help guide plans of care and return-to-activity decisions.

Cognitive Recovery During Inpatient Rehabilitation Following Pediatric Traumatic Brain Injury: A Pediatric Brain Injury Consortium Study.

OBJECTIVES: To characterize the demographics, clinical course, and predictors of cognitive recovery among children and young adults receiving inpatient rehabilitation following pediatric traumatic brain injury (TBI). DESIGN: Retrospective observational, multicenter study. SETTING: Eight acute pediatric inpatient rehabilitation facilities in the United States with specialized programs for treating patients with TBI. PARTICIPANTS: Children and young adults (0-21 years) with TBI (n = 234) receiving inpatient rehabilitation. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Admission and discharge status assessed by the WeeFIM Cognitive Developmental Functional Quotient (DFQ) and Cognitive and Linguistic Scale (CALS). RESULTS: Patients admitted to pediatric inpatient rehabilitation are diverse in cognitive functioning. While the majority of patients make improvements, cognitive recovery is constrained for those admitted with the most severe cognitive impairments. Age, time since injury to rehabilitation admission, and admission WeeFIM Cognitive DFQ are significant predictors of cognitive functioning at discharge from inpatient rehabilitation. CONCLUSIONS: This work establishes a multicenter Pediatric Brain Injury Consortium and characterized the demographics and clinical course of cognitive recovery during inpatient rehabilitation of pediatric patients with TBI to aid in prospective study design.

Electronic health record and patterns of care for children with cerebral palsy.

AIM: To characterize the patterns of care of children with cerebral palsy (CP) in a tertiary healthcare system. METHOD: Electronic health record data from 2009 to 2019 were extracted for children with CP. Machine learning hierarchical clustering was used to identify clusters of care. The ratio of in-person to care coordination visits was calculated for each specialty. RESULTS: The sample included 6369 children with CP (55.7% males, 44.3% females, 76.2% white, 94.7% non-Hispanic; with a mean age of 8y 2mo [SD 5y 10mo; range 0-21y; median 7y 1mo]) at the time of diagnosis. A total of 3.7 million in-person visits and care coordination notes were identified across 34 specialties. The duration of care averaged 5 years 5 months with five specialty interactions and 21.8 in-person visits per year per child. Seven clusters of care were identified, including: musculoskeletal and function; neurological; high-frequency/urgent care services; procedures; comorbid diagnoses; development and behavioral; and primary care. Network analysis showed shared membership among several clusters. INTERPRETATION: Coordination of care is a central element for children with CP. Medical informatics, machine learning, and big data approaches provide unique insights into care delivery to inform approaches to improve outcomes for children with CP. What this paper adds Seven primary clusters of care were identified: musculoskeletal and function; neurological; high-frequency/urgent care services; procedures; comorbid diagnoses; development and behavioral; and primary care. The in-person to care coordination visit ratio was 1:5 overall for healthcare encounters. Most interactions with care teams occur outside of in-person visits. The ratio of in-person to care coordination activities differ by specialty.

Describing the Delivery of Evidence-Based Physical Therapy Intervention to Individuals With Cerebral Palsy.

PURPOSE: To characterize by evidence grades and examine variation in type of physical therapy intervention delivered in routine clinical care in individuals with cerebral palsy (CP). METHODS: Retrospective data collection from the electronic record over 1 year at a tertiary care pediatric outpatient therapy division. RESULTS: Four hundred sixty-five individuals with CP received 28 344 interventions during 4335 treatment visits. Sixty-six percent of interventions were evidence-based interventions (EBIs). Significant variation was demonstrated across Gross Motor Function Classification System levels, with children classified as level V receiving the least and level III the most. The most frequent EBIs delivered were caregiver education, motor control, functional strengthening, ankle-foot orthoses, treadmill training, and fit of adaptive equipment. CONCLUSIONS: Further work is needed to determine whether amount of EBI is related to better outcomes. Combining this information with other aspects of dose (intensity, time, and frequency) may elucidate the contribution of each with outcomes.