Abstract:AimTo identify markers for detecting abusive head trauma (AHT) and its characteristics in the Japanese population.MethodsWe retrospectively reviewed the clinical records of 166 infants with traumatic intracranial hemorrhage between 2002 and 2013 in three tertiary institutions in Japan. The infants were classified into AHT (57), suspected AHT (24), and accidental (85) group based on the defined criteria. We compared clinical presentations and computed tomography findings among these three groups and also compar… Show more
“…A previous study reported that about 10% of burn cases were suspected abuse cases 16 . Concerning to abuse and/or neglect, one observational study from Japan reported that about half of the traumatic intracranial hemorrhage was caused by abuse 17 . Though abuse data was not registered in JTDB and the association between pediatric burns and abuse could not investigated, the high prevalence of pediatric burns in children <1 year clinicians suspected abuse and/or neglect.…”
Limited information exists regarding the epidemiology, patterns of treatment, and mortality of pediatric trauma patients in Japan. To evaluate the characteristics and mortality of pediatric trauma patients in Japan, especially in traffic accidents. This was a retrospective cohort study between 2004 and 2015 from a nationwide trauma registry in Japan. Pediatric trauma patients divided into four age groups: <1 years; 1 ≤ 5 years; 6 ≤ 10 years; and 11 ≤ 15 years. Data on patients’ demographics, trauma mechanism and severity, treatments and in-hospital mortality were analyzed between the groups. There were 15,441 pediatric trauma patients during the study period. Among 15,441 pediatric patients, 779 belonged to the <1 year age group, 3,933 to the 1 ≤ 5 years age group, 5,545 to the 6 ≤ 10 age group, and 5,184 to the 11 ≤ 15 years age group. Male injuries (69%) were more frequent than female injuries. Head injuries (44%) were the most frequent and severe. Traffic accidents were the leading cause of trauma (44%). Overall in-hospital mortality was 3.9% and emergency department mortality was 1.4%. In-hospital mortality was 5.3%, 4.7%, 3.0% and 4.0% for the <1 year, 1 ≤ 5 years, 6 ≤ 10 years, and 11 ≤ 15 years age groups respectively. A total of 57% of all trauma deaths were before or upon arrival at hospital. Traffic accidents for the <1 year age group was the highest category of mortality (15%). The overall in-hospital mortality of Japanese pediatric trauma patients was 3.9% based on the nationwide trauma registry of Japan. The main cause of severe trauma was traffic accidents, especially in patients <1 year of age whose mortality was 15%.
“…A previous study reported that about 10% of burn cases were suspected abuse cases 16 . Concerning to abuse and/or neglect, one observational study from Japan reported that about half of the traumatic intracranial hemorrhage was caused by abuse 17 . Though abuse data was not registered in JTDB and the association between pediatric burns and abuse could not investigated, the high prevalence of pediatric burns in children <1 year clinicians suspected abuse and/or neglect.…”
Limited information exists regarding the epidemiology, patterns of treatment, and mortality of pediatric trauma patients in Japan. To evaluate the characteristics and mortality of pediatric trauma patients in Japan, especially in traffic accidents. This was a retrospective cohort study between 2004 and 2015 from a nationwide trauma registry in Japan. Pediatric trauma patients divided into four age groups: <1 years; 1 ≤ 5 years; 6 ≤ 10 years; and 11 ≤ 15 years. Data on patients’ demographics, trauma mechanism and severity, treatments and in-hospital mortality were analyzed between the groups. There were 15,441 pediatric trauma patients during the study period. Among 15,441 pediatric patients, 779 belonged to the <1 year age group, 3,933 to the 1 ≤ 5 years age group, 5,545 to the 6 ≤ 10 age group, and 5,184 to the 11 ≤ 15 years age group. Male injuries (69%) were more frequent than female injuries. Head injuries (44%) were the most frequent and severe. Traffic accidents were the leading cause of trauma (44%). Overall in-hospital mortality was 3.9% and emergency department mortality was 1.4%. In-hospital mortality was 5.3%, 4.7%, 3.0% and 4.0% for the <1 year, 1 ≤ 5 years, 6 ≤ 10 years, and 11 ≤ 15 years age groups respectively. A total of 57% of all trauma deaths were before or upon arrival at hospital. Traffic accidents for the <1 year age group was the highest category of mortality (15%). The overall in-hospital mortality of Japanese pediatric trauma patients was 3.9% based on the nationwide trauma registry of Japan. The main cause of severe trauma was traffic accidents, especially in patients <1 year of age whose mortality was 15%.
“…And yet, mathematical partition based on objective, reliably determined clinical variables replicated the results of decades of literature on the characteristics of children with AHT. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] By replicating the segregation of clinical findings in the case-control literature, the cluster analyses demonstrate that the division of cases from controls reflected natural latent divisions in the larger population of young children with neurotrauma. The fact that these differences extended beyond neurologic and eye findings to include skeletal fractures, skin injuries, and visceral injuries supports the inference that inflicted trauma was closely related to the latent variable responsible for partition.…”
Section: Discussionmentioning
confidence: 97%
“…The evidence base for diagnosing AHT in children with neurotrauma relies on a series of case-control studies and meta-analyses of those studies. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Cohorts of AHT cases have been separated from controls by various methods: physician diagnosis, 15,16,22 consensus opinion of a multidisciplinary team, 14,17,18,22,23,26,28,29 predefined criteria designed to avoid indicators under study, 14,[19][20][21]29 and confessed abuse versus a public non-AHT event. 22 Results of the various methods have been consistent, lending strength to the findings.…”
Section: Discussionmentioning
confidence: 99%
“…The scientific foundation for identifying AHT largely rests on a series of case-control studies that compare abused with nonabused children and on meta-analyses of those studies. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Some authors have suggested that much of this literature is invalid because of circularity. They find that potential indicators of abuse being studied are used in assigning children as cases or controls.…”
OBJECTIVES:
Data guiding abusive head trauma (AHT) diagnosis rest on case-control studies that have been criticized for circularity. We wished to sort children with neurologic injury using mathematical algorithms, without reference to physicians’ diagnoses or predetermined diagnostic criteria, and to compare the results to existing AHT data, physicians’ diagnoses, and a proposed triad of findings.
METHODS:
Unsupervised cluster analysis of an existing data set regarding 500 young patients with acute head injury hospitalized for intensive care. Three cluster algorithms were used to sort (partition) patients into subpopulations (clusters) on the basis of 32 reliable (κ > 0.6) clinical and radiologic variables. P values and odds ratios (ORs) identified variables most predictive of partitioning.
RESULTS:
The full cohort partitioned into 2 clusters. Variables substantially (P < .001 and OR > 10 in all 3 cluster algorithms) more prevalent in cluster 1 were imaging indications of brain hypoxemia, ischemia, and/or swelling; acute encephalopathy, particularly when lasting >24 hours; respiratory compromise; subdural hemorrhage or fluid collection; and ophthalmologist-confirmed retinoschisis. Variables substantially (P < .001 and OR < 0.10 in any cluster algorithm) more prevalent in cluster 2 were linear parietal skull fracture and epidural hematoma. Postpartitioning analysis revealed that cluster 1 had a high prevalence of physician-diagnosed abuse.
CONCLUSIONS:
Three cluster algorithms partitioned the population into 2 clusters without reference to predetermined diagnostic criteria or clinical opinion about the nature of AHT. Clinical difference between clusters replicated differences previously described in comparisons of AHT with non-AHT. Algorithmic partition was predictive of physician diagnosis and of the triad of findings heavily discussed in AHT literature.
“…Characteristics associated with the accident (odds ratio) (Fig. 1) 31 Comparison of age distribution of abusive head trauma (AHT) cases between our study and a study carried out in the USA 45) . Two peaks in the number of patients were observed in the AHT group, one at approximately 1-2 months and the other at 6-8 months.…”
Section: Characteristics Associated With Aht (Odds Ratio)mentioning
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