OBJECTIVE All-terrain vehicle (ATV) and dirt bike crashes frequently result in traumatic brain injury. The authors performed a retrospective study to evaluate the role of helmets in the neurosurgical outcomes of pediatric patients involved in ATV and dirt bike crashes who were treated at their institution during the last decade. METHODS The authors analyzed data on all pediatric patients involved in ATV or dirt bike crashes who were evaluated at a single regional level I pediatric trauma center between 2010 and 2019. Patients were excluded if the crash occurred in a competition (n = 70) or if helmet status could not be determined (n = 18). Multivariable logistic regression was used to analyze the association of helmet status with the primary outcomes of 1) neurosurgical consultation, 2) intracranial injury (including skull fracture), and 3) moderate or severe traumatic brain injury (MSTBI) and to control for literature-based, potentially confounding variables. RESULTS In total, 680 patients were included (230 [34%] helmeted patients and 450 [66%] unhelmeted patients). Helmeted patients were more frequently male (81% vs 66%). Drivers were more frequently helmeted (44.3%) than passengers (10.5%, p < 0.001). Head imaging was performed to evaluate 70.9% of unhelmeted patients and 48.3% of helmeted patients (p < 0.001). MSTBI (8.0% vs 1.7%, p = 0.001) and neurosurgical consultation (26.2% vs 9.1%, p < 0.001) were more frequent among unhelmeted patients. Neurosurgical injuries, including intracranial hemorrhage (16% vs 4%, p < 0.001) and skull fracture (18% vs 4%, p < 0.001), were more common in unhelmeted patients. Neurosurgical procedures were required by 2.7% of unhelmeted patients. One helmeted patient (0.4%) required placement of an intracranial pressure monitor, and no other helmeted patients required neurosurgical procedures. After adjustment for age, sex, driver status, vehicle type, and injury mechanism, helmet use significantly reduced the odds of neurosurgical consultation (OR 0.250, 95% CI 0.140–0.447, p < 0.001), intracranial injury (OR 0.172, 95% CI 0.087–0.337, p < 0.001), and MSTBI (OR 0.244, 95% CI 0.079–0.758, p = 0.015). The unadjusted absolute risk reduction provided by helmet use equated to a number-needed-to-helmet of 6 riders to prevent 1 neurosurgical consultation, 4 riders to prevent 1 intracranial injury, and 16 riders to prevent 1 MSTBI. CONCLUSIONS Helmet use remains problematically low among young ATV and dirt bike riders, especially passengers. Expanding helmet use among these children could significantly reduce the rates of intracranial injury and MSTBI, as well as the subsequent need for neurosurgical procedures. Promoting helmet use among recreational ATV and dirt bike riders must remain a priority for neurosurgeons, public health officials, and injury prevention professionals.
ObjectivesRecreational off-road vehicle crashes can produce severe injury and death among children, often from head trauma sustained while riding unhelmeted. Although required for competition, recreational riders commonly forego helmets. This study aimed to identify socioeconomic factors associated with unhelmeted injuries among children riding all-terrain vehicles (ATVs) and dirt bikes recreationally, thus informing injury prevention efforts.MethodsA retrospective review was completed of patients younger than 18 years who presented after recreational ATV or dirt bike crash to a single American College of Surgeons-verified level 1 pediatric trauma center (2010–2019). Demographic, injury, and outcome data were collected. US Census data regarding median and per capita income, poverty prevalence, and scholastic graduation rates were recorded for each patient’s home county. Relationships between helmet use at the time of injury, demographics, and socioeconomic variables were examined.ResultsThe cohort comprised 680 injured recreational ATV (n=510; 75%) and dirt bike (170; 25%) riders. Unhelmeted riders (n=450) were significantly older (median age 13 vs 11 years; p=0.008) and more often rode ATVs (n=399). Significantly greater percentages of females (77.9%; p<0.001) and passengers (89.5%; p<0.001) were unhelmeted at the time of injury. Residents of counties with lower median and per capita income, higher poverty prevalence, and lower high school and college graduation rates were significantly more likely to be unhelmeted at the time of their crash (p=0.003). In multivariable analysis, unhelmeted injuries were independently associated with ATV use (OR=6.757; p<0.0001), passenger status (OR=6.457; p<0.0001), and older age (OR=1.219; p<0.0001).ConclusionIn children, ATV use, passenger status, and older age associated independently with unhelmeted riding in recreational vehicle crash. Residence in a county with both lower median income and scholastic graduation rates associated with unhelmeted crashes, and lower median income significantly predicted unhelmeted crashes. This study revealed socioeconomic factors that identify communities with greatest need for injury prevention initiatives.Level of evidenceIII—retrospective comparative epidemiological study.
INTRODUCTION: Pectus excavatum and pectus carinatum are the most common chest wall deformities of childhood, with incidences of around 90% and 5-20%, respectively. Surgical repair can be complicated by postoperative analgesic challenges. Thoracic epidural analgesia, patient-controlled analgesia, and multimodal pain control are among the most common strategies. We sought to define the current utilization of intraoperative thoracic neurolysis, hypothesizing that this would minimize length of stay (LOS) and necessity for intensive care. METHODS:We performed a retrospective review of the Pediatric Health Information System (PHIS) database between 2017 and 2020. We first identified patients who underwent a pectus repair via ICD-10-PCS codes. We used ICD-10-PCS codes 01580ZZ and 01584ZZ to identify those patients who underwent concomitant thoracic neurolysis. Statistical analyses were performed using R; p<0.05 was considered significant. RESULTS:We identified 2979 patients who underwent a pectus repair. 184 underwent a concomitant thoracic nerve destruction procedure (6.7%); 13 were performed in 2017 (2.01%), 76 in 2018 (10.7%), and 84 in 2019 (9.6%). LOS was shorter in those patients who underwent neurolysis (mean¼2.55 vs 3.73 days, SD¼1.33 vs 1.78 days, p<0.001). There were fewer postoperative ICU admissions in neurolysis patients (3/184 vs. 193/2795, p¼0.003). The cost of procedures that included a neurolysis were higher, though not significantly so (mean¼$24,885.64 vs $22,200.59).CONCLUSION: Thoracic neurolysis may be a useful analgesic strategy, expediating postoperative discharge and potentially obviating intensive care need. Further larger-scale prospective trials should be considered to elucidate the role of this analgesia method.
Objectives:( 1) Evaluate the frequency of same-year, repeat concussions; (2) assess predictors of sustaining a repeat concussion; and (3) compare outcomes of athletes with repeat concussions with athletes with single concussion. Design: A retrospective, case-control study. Setting: Regional sports concussion center. Patients: Adolescents sustaining a sport-related concussions (SRC) from November 2017 to October 2020. Independent Variables: Participants were dichotomized into 2 groups: (1) athletes with a single concussion; and (2) athletes with repeat concussions. Main Outcome Measures: Between group and within group analyses were completed to look for differences in demographics, personal and family history, concussion history, and recovery metrics between the 2 groups. Results: Of 834 athletes with an SRC, 56 (6.7%) sustained a repeat concussion and 778 (93.3%) had a single concussion. Between group: Personal history of migraines (19.6% vs 9.5%, x 2 5 5.795, P 5 0.02), family history of migraines (37.5% vs 24.5%, x 2 5 4.621, P 5 0.03), and family history of psychiatric disorders (25% vs 13.1%, x 2 5 6.224, P 5 0.01) were significant predictors of sustaining a repeat concussion. Within group: Among those with a repeat concussion, initial symptom severity was greater (Z 5 22.422; P 5 0.02) during the repeat concussion and amnesia was more common (x 2 5 4.775, P 5 0.03) after the initial concussion. Conclusions: In a single-center study of 834 athletes, 6.7% suffered a same-year, repeat concussion. Risk factors included personal/family migraine history and family psychiatric history. For athletes with repeat concussions, initial symptom score was higher after the second concussion, yet amnesia was more common after the initial concussion.
OBJECTIVE Accurately predicting early (≤ 14 days) versus typical (15–27 days) or delayed (≥ 28 days) recovery from sport-related concussion (SRC) may allow for improved resource utilization and precision in planning and carrying out rehabilitation. In this study, the authors sought to develop an algorithm that enables accurate differentiation of recovery periods and duration after SRC. The authors hypothesized that data regarding initial symptom burden as quantified by a Post-Concussion Symptom Scale (PCSS) score, time to presentation, and number of prior concussions would be the most useful for analyzing predictive factors for concussion recovery duration. METHODS A retrospective case-control study was conducted to assess the primary outcome of days to clinical recovery following SRC in pediatric patients. Data from patients 12–18 years old presenting within 28 days of injury to an SRC clinic between November 11, 2017, and October 10, 2020, were analyzed. Patients with positive evidence of injury on head imaging or incomplete records were excluded. The primary outcome was duration of clinical recovery, grouped as early (≤ 14 days), typical (15–27 days), or delayed (≥ 28 days). Recovery was defined as follows: 1) symptom resolution or return to baseline, or 2) initiation of graduated return to play. CHAID (chi-square automatic interaction detection) analysis was used to optimize a decision tree based on 16 input factors, including age, sex, initial PCSS score, time to clinic presentation, number of prior concussions, and presence of defined symptom clusters. The cohort was randomized into training (70%) and test (30%) samples for algorithm validation. RESULTS A total of 493 patients met the inclusion criteria (mean age 15.7 ± 1.5 years, 68.2% male, 70.0% White). The median time to presentation was 5 days (IQR 2–10 days). Most patients (52.3%) recovered within 14 days of injury, 21.5% recovered within 15–27 days, and 26.2% had a recovery period of 28 days or longer. The variables most predictive of recovery were initial PCSS score (cutoffs ≤ 6, 7–28, or ≥ 29), time to presentation (≤ 7 vs > 7 days), or prior concussions (0 vs ≥ 1). The model accurately discriminated between early versus typical or delayed recovery duration groupings (area under the curve 0.80, Youden index 0.44), and correctly classified > 90% of patients who recovered early. CONCLUSIONS This novel three-factor predictive tool enabled accurate discrimination of early versus typical or delayed SRC recovery to better allocate resources, counsel patients, and make timely referrals.
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