| Literature DB >> 30696405 |
Ryan Gise1, Timothy Truong2, Afshin Parsikia3, Joyce N Mbekeani4,5.
Abstract
PURPOSE: Pediatric ocular trauma is a major source of morbidity and blindness and the number of epidemiological studies is incommensurate with its significance. We sought to determine differences in epidemiologic patterns of pediatric ocular injuries based on intention.Entities:
Keywords: Assault-related injuries; National Trauma Data Bank (NTDB); Pediatric ocular trauma; Self-inflicted trauma; Suicide; Unintentional trauma
Mesh:
Year: 2019 PMID: 30696405 PMCID: PMC6352334 DOI: 10.1186/s12886-018-1024-7
Source DB: PubMed Journal: BMC Ophthalmol ISSN: 1471-2415 Impact factor: 2.209
Description of Findings in Ocular Injuries Secondary to Unintentional Intent in Pediatric Trauma, National Trauma Data Bank (2008-2014)
| Characteristic | Number | Percentage (%) | Characteristic | Number | Percentage (%) | Mean (SD) | Median (IQR) |
|---|---|---|---|---|---|---|---|
| Year | Age | 12.1 (6.4) | 14 (6-18) | ||||
| 2008 | 5,893 | 13.2 | 0-3 | 6,739 | 15.0 | ||
| 2009 | 6,289 | 14.0 | 4-6 | 4,919 | 11.0 | ||
| 2010 | 6,428 | 14.3 | 7-11 | 6,945 | 15.5 | ||
| 2011 | 6,366 | 14.2 | 12-18 | 17,979 | 40.1 | ||
| 2012 | 6,822 | 15.2 | 19-21 | 8,230 | 18.4 | ||
| 2013 | 6,434 | 14.4 | |||||
| 2014 | 6,580 | 14.7 | |||||
| Injury Severity Score | 11.7(11.1) | 9(4-17) | |||||
| Gender | ≤15 | 39,922 | 69.0 | ||||
| Male | 29,799 | 66.5 | 16-25 | 6,805 | 15.2 | ||
| Female | 15,013 | 33.5 | >25 | 5,312 | 11.9 | ||
| Unknown | 1773 | 4.0 | |||||
| Race | |||||||
| Black | 6,498 | 14.5 | GCS | 13.1 (3.9) | 15(14-15) | ||
| White | 28,354 | 63.3 | ≤8 | 5,817 | 13.0 | ||
| Other | 9,960 | 22.8 | 9-12 | 1,487 | 3.3 | ||
| 13-15 | 32,840 | 73.3 | |||||
| Ethnicity | Unknown | 4,668 | 10.4 | ||||
| Hispanic | 6,869 | 15.3 | |||||
| Injury Type | Common Injuries | ||||||
| Penetrating | 1,893 | 4.2 | Contusion cyc/adncxa | 12,126 | 27.1 | ||
| Blunt | 37,168 | 82.9 | Orbital | 13,308 | 29.7 | ||
| Other | 5,751 | 12.9 | Open adnexa wound | 14,793 | 33.0 | ||
| Superficial | 5,768 | 12.9 | |||||
| Traumatic Brain | 23,834 | 53.2 | Open wound eyeball | 4,982 | 11.1 | ||
| Mortality | 884 | 2.0 | Visual pathway | 590 | 1.3 | ||
| Related cranial nerves | 1284 | 2.9 | |||||
Fig. 1Frequency of Ocular Injuries in Different Age Groups Based Upon Intent
Description of Findings in Ocular Injuries Secondary to Assault in Pediatric Trauma, National Trauma Data Bank (2008-2014)
| Characteristic | Number | Percentage (%) | Characteristic | Number | Percentage (%) | Mean (SD) | Median (IQR) |
|---|---|---|---|---|---|---|---|
| Year | Age | 12.3(8.1) | 17(1-19) | ||||
| 2008 | 1,323 | 13.8 | 0-3 | 2,872 | 30.0 | ||
| 2009 | 1,486 | 15.5 | 4-6 | 132 | 1.4 | ||
| 2010 | 1,428 | 14.9 | 7-11 | 157 | 1.6 | ||
| 2011 | 1.385 | 14.5 | 12-18 | 3,505 | 36.6 | ||
| 2012 | 1,393 | 14.5 | 19-21 | 2,913 | 30.4 | ||
| 2013 | 1,271 | 13.3 | |||||
| 2014 | 1,293 | 13.5 | |||||
| Injury Severity Score | 12.5(10.2) | 9(5-18) | |||||
| Gender | ≤15 | 6,201 | 64.7 | ||||
| Male | 7,424 | 77.5 | 16-25 | 1,455 | 15.2 | ||
| Female | 2,152 | 22.5 | >25 | 1,503 | 15.7 | ||
| Unknown | 420 | 4.4 | |||||
| Race | |||||||
| Black | 3,008 | 31.4 | |||||
| White | 3,996 | 41.7 | CCS | 12.7(4.4) | 15(13-15) | ||
| Other | 2,575 | 26.9 | ≤8 | 1,511 | 15.8 | ||
| 9-12 | 402 | 4.2 | |||||
| Ethnicity | 13-15 | 6,417 | 67.0 | ||||
| Hispanic | 1,953 | 20.4 | Unknown | 1,249 | 13.0 | ||
| Injury Type | Common Injuries | ||||||
| Penetrating | 1,241 | 13.0 | Contusion eye/adnexa | 4,432 | 46.3 | ||
| Blunt | 4,614 | 48.2 | Orbital | 3,170 | 33.1 | ||
| Other | 3,724 | 3,724 | Open adnexa wound | 1,349 | 14.1 | ||
| Superficial | 970 | 10.1 | |||||
| Traumatic Brain Injury | 6,049 | 63.1 | Open wound eyeball | 1,033 | 10.8 | ||
| Mortality | 633 | 6.6 | Visual pathway | 258 | 2.7 | ||
| Related cranial nerves | 484 | 5.0 | |||||
SD Standard deviation, IQR Interquartile range, GCS Glasgow Coma Score
Description of Findings in Ocular Injuries Secondary to Self-Inflicted Intent in Pediatric Trauma, National Trauma Data Bank (2008-2014)
| Characteristic | Number | Percentage (%) | Characteristic | Number | Percentage (%) | Mean (SD) | Median (IQR) |
|---|---|---|---|---|---|---|---|
| Year | Age | 17.0 (3.4) | 18.0(16-19) | ||||
| 2008 | 45 | 10.3 | 0-3 | 7 | 1.6 | ||
| 2009 | 51 | 11.7 | 4-6 | 5 | 1.1 | ||
| 2010 | 58 | 13.3 | 7-11 | 16 | 3.7 | ||
| 2011 | 67 | 15.3 | 12-18 | 249 | 57.0 | ||
| 2012 | 72 | 16.5 | 19-21 | 160 | 36.6 | ||
| 2013 | 63 | 14.4 | |||||
| 2014 | 81 | 18.5 | |||||
| Injury Severity Score | 21.0 (11.8) | 22.0 (13-29) | |||||
| Gender | ≤l5 | 137 | 31.3 | ||||
| Male | 352 | 80.5 | 16-25 | 93 | 21.3 | ||
| Female | 85 | 19.5 | >25 | 194 | 44.4 | ||
| Unknown | 13 | 3.0 | |||||
| Race | |||||||
| Black | 51 | 11.7 | |||||
| White | 297 | 68 | GCS | 8.3 (5.4) | 6.0 (3-15) | ||
| Other | 89 | 20.4 | ≤8 | 223 | 51.0 | ||
| 9-12 | 26 | 5.9 | |||||
| Ethnicity | 13-15 | 155 | 35.5 | ||||
| Hispanic | 56 | 12.8 | Unknown | 33 | 7.6 | ||
| Injury Type | Common Injuries | ||||||
| Penetrating | 258 | 59.0 | Contusion eye/adnexa | 115 | 26.3 | ||
| Blunt | 95 | 21.7 | Orbital | 186 | 42.6 | ||
| Other | 78 | 17.8 | Open adnexa wound | 66 | 15.1 | ||
| Superficial | 43 | 9.8 | |||||
| Traumatic Brain Injury | 341 | 78.0 | Open wound eyeball | 91 | 20.8 | ||
| Mortality | 87 | 19.9 | Visual pathway | 45 | 10.3 | ||
| Related cranial nerves | 13 | 3.0 |
SD Standard deviation, IQR Interquartile range, GCS Glasgow Coma Score
Fig. 2Summary of Multivariate Logistic Regression Analysis of Age Association with Type of Ocular Injury in Pediatric Patients with Ocular Trauma : a Summary of multivariate logistic regression with odds ratio and 95% confidence intervals analysis of age association with type of ocular injury in unintentional pediatric ocular trauma. Patients 0–3 years of age had 30.45 greater odds of open ocular adnexal wounds (p < 0.001) and a 11.60 odds of orbital injury (p < 0.001). Patients 4–6 years of age (OR = 3.80, p < 0.001), 12–18 years (OR = 1.75, p < 0.001) and 19–21 years (OR = 1.99, p < 0.001) had highest odds of open wounds of the ocular adnexa; those 7–11 years of age had 1.83 odds of orbital injuries (p = 0.001). b Summary of multivariate logistic regression with odds ratio and 95% confidence intervals analysis of age association with type of ocular injury in pediatric ocular trauma secondary to assault. 0–3 years (OR = 5.81, p < 0.001) and 4–6 years of age (OR = 3.16, p < 0.001) had highest odds of contusion of the eye/ adnexa; 7–11 years of open wounds of the eyeball (OR = 2.35, p < 0.001); and 12–18 years (OR = 1.54, p < 0.001) and 19–21 years (OR = 1.64, p = 0.001) of orbital injuries. c : Summary of multivariate logistic regression with odds ratio and 95% confidence intervals analysis of age association with type of ocular injury in self-inflicted pediatric ocular trauma. All age groups had increased odds of open wound injuries of the eyeball, with patients 0–3 years of age with 22.92 odds (p < 0.001); 7–11 years of age with 4.19 odds (p = 0.007); 12–18 years with 1.88 odds (p < 0.001) and 19–21 years with 2.74 odds (p < 0.001). Patients 4–6 years of age did not have statistically increased odds of the above five injury types
Fig. 3Summary of Simple Logistic Regression Analysis of Traumatic Brain Injury (TBI) and Mortality Associated with Intent of Injury in Pediatric Patients Ocular Trauma. Summary of simple logistic regression with odds ratio and 95% confidence intervals analysis of TBI and Mortality association with intent of injury in pediatric ocular trauma. TBI = Traumatic Brain Injury. Self-inflicted intent had the highest odds of TBI (OR = 2.91, p < 0.001) and mortality (OR = 8.54; p < 0.001), followed by assault injury with 1.49 odds of TBI (p < 0.001) and 3.15 odds of mortality (p < 0.001)