Open Access

Pediatric Traumatic Brain Injury: a 5-year descriptive study from the National Trauma Center in Qatar

World Journal of Emergency Surgery201712:48

https://doi.org/10.1186/s13017-017-0159-9

Received: 13 September 2017

Accepted: 26 October 2017

Published: 7 November 2017

Abstract

Background

The epidemiologic characteristics and outcomes of pediatric traumatic brain injury (pTBI) have not been adequately documented from the rapidly developing countries in the Arab Middle East. We aimed to describe the hospital-based epidemiologic characteristics, injury mechanisms, clinical presentation, and outcomes of pTBI and analyze key characteristics and determinant of pTBI that could help to make recommendations for policies to improve their care.

Methods

We conducted a retrospective observational study in a level 1 trauma center (2010–2014) for all pTBI patients. Data were analyzed and compared according to different patient age groups.

Results

Out of 945 traumatic brain injury patients, 167 (17.7%) were ≤ 18 years old with a mean age of 10.6 ± 5.9 and 81% were males. The rate of pTBI varied from 5 to 14 cases per 100,000 children per year. The most affected group was teenagers (15–18 years; 40%) followed by infants/toddlers (≤ 4 years; 23%). Motor vehicle crash (MVC; 47.3%) was the most frequent mechanism of injury followed by falls (21.6%). MVC accounted for a high proportion of pTBI among teenagers (77.3%) and adolescents (10–14 years; 48.3%). Fall was a common cause of pTBI for infants/toddlers (51.3%) and 5–9 years old group (30.3%). The proportion of brain contusion was significantly higher in adolescents (61.5%) and teenagers (58.6%). Teenagers had higher mean Injury Severity Scoring of 24.2 ± 9.8 and lower median (range) Glasgow Coma Scale of 3 (3–15) (P = 0.001 for all). The median ventilatory days and intensive care unit and hospital length of stay were significantly prolonged in the teenage group. Also, pTBI in teenage group showed higher association with pneumonia (46.4%) and sepsis (17.3%) than other age groups (P = 0.01). The overall mortality rate was 13% (n = 22); 11 died within the first 24 h, 7 died between the second and seventh day and 4 died one week post-admission. Among MVC victims, a decreasing trend of case fatality rate (CFR) was observed with age; teenagers had the highest CFR (85.7) followed by adolescents (75.0), young children (33.3), and infants/toddlers (12.5).

Conclusions

This local experience to describe the burden of pTBI could be a basis to adopt and form an efficient, tailored strategy for safety in the pediatric population.

Keywords

TraumaHead injuryPediatricBrain injuryRoad trafficFalls

Background

Traumatic brain injury (TBI) is a main cause of functional disability and death in children worldwide [1, 2]. A report from Europe showed that, among children with blunt head trauma, the rate of fatal and nonfatal TBI was 0.5 and 5.2 per 1000 children, respectively [3]. Younger children are most likely to incur a TBI from falls, whereas adolescents with TBIs are most commonly injured in MVCs and sports-related trauma [4]. An earlier study from Qatar reported MVCs and falls as the most frequent mechanisms of injury among children sustaining severe blunt trauma in 2011 [5].

Some studies have suggested that even children with mild injuries are at increased risk of functional disabilities that might occur in pediatric TBI (pTBI) up to 1 year from the initial injury [6, 7]. Despite the fact that clinical advancements in the care of critically injured children have reduced fatalities in pTBI, the worse functional outcomes are still relying on the severity and type of head injury [8]. To date, the epidemiologic characteristics and outcomes of pTBI have not been adequately documented from the rapidly developing countries in the Arab Middle East. The objectives of this study are to describe the hospital-based epidemiologic characteristics, injury mechanisms, clinical presentation, and outcomes of pTBI in Qatar. We also analyze key characteristics and determinants of pTBI that could, whenever possible, make recommendations for policies to improve their care, reduce their adverse health outcomes, and promote their prevention.

Methods

This is a retrospective review of all pTBI cases, aged ≤ 18 years old, from the prospectively collected trauma registry of the Hamad Trauma Center (HTC), the national trauma center of Qatar, that treats all TBI cases in the country from 1 January 2010 to 31 December 2014. The HTC trauma registry is a mature database that participates in both the National Trauma Data Bank (NTDB) and the Trauma Quality Improvement Program (TQIP) of the American College of Surgeons-Committee on Trauma (ACS-COT).

All pTBIs in the trauma registry were identified by using the ICD-9 codes ranging from 800 to 959.9 (except ICD-9 codes 905-909.9; 910-924.9 and 930-939.9) and included in the study. Collected data included patient demographics, mechanism of injury, use of safety equipment, seating position in and status of ejection from the motor vehicle, Glasgow Coma Scale (GCS) at the scene and emergency department (ED), Injury Severity Score (ISS), head Abbreviated Injury Score (AIS), types of head injury, endotracheal intubation, intracranial pressure monitoring, neurosurgical procedures, hospital and ICU length of stay (LOS), ventilator days, in-hospital complications, and mortality.

Data were classified according to age groups as infants/toddlers (age 0–4 years), school age (5–9 years), adolescents (10–14 years), and teenagers (15–18 years) before analysis. This study was conducted in line with the STROBE checklist (Additional file 1).

The sample size was not prespecified as we intended to enroll all the patients ≤ 18 years who sustained TBI and required admission. Selection bias was minimized as HTC at Hamad General Hospital (HGH), the only tertiary hospital, that deals with significant TBI, however, excluding patients who were not admitted might carry this bias. Data were presented as proportions, mean ± standard deviation (SD) or median as appropriate. Differences in categorical and continuous variables were analyzed using χ 2 test and one-way analysis of variance (ANOVA), as appropriate. Yates’ corrected chi-square was used for categorical variables, if the expected cell frequencies were below 5. A significant difference was considered when the two-tailed P value was less than 0.05. Data analysis was carried out using the Statistical Package for Social Sciences version 18 (SPSS Inc., Chicago, Illinois, USA).

Results

Out of the 945 TBI patients admitted to HTC during the study period, 167 (17.7%) were children (≤ 18 years) with a mean age of 10.6 ± 5.9 years, 81% were males. Table 1 shows the demographics, injury mechanisms, severity of injury, and outcomes among pTBI patients. MVC (47.3%) was the most frequent mechanism of TBI followed by falls (21.6%) and pedestrian injuries (10.8%). Among MVCs, most frequently injured vehicle occupants were drivers and front seat passengers (23% each). Only 5% were using a seatbelt/restraint system, and 53% were ejected from the vehicle during car crashes.
Table 1

Demographics, injury mechanisms, and injury severity among pTBI patients (n = 167)

Variable

Value

Age (years) (mean ± SD)

10.6 ± 5.9

Male gender

136 (81.4%)

Nationality

 Qatari-nationals

78 (46.7%)

 Non-nationals

89 (53.3%)

Mechanisms of injury

 Motor vehicle crash

79 (47.3%)

 Fall from height

36 (21.6%)

 Pedestrians

18 (10.8%)

 Motor cycle/bike

7 (4.2%)

 All-terrain vehicle crashes

11 (6.6%)

 Fall of heavy object

6 (3.6%)

 Gunshot wound

2 (1.2%)

 Others

5 (3%)

Position in vehicle in MVC

 Driver

18/79 (22.8%)

 Front passenger

18/79 (22.8%)

 Back passenger

10/79 (12.6%)

 Unspecified position

33/79 (41.8%)

Seatbelt use in MVC

4/79 (5.1%)

Ejection from motor vehicle in MVC

42/70 (53.2%)

Head Abbreviated Injury Scale (mean ± SD)/(median, range)

3.5 ± 0.9 / 3 (1–5)

Injury severity score (mean ± SD)/(median, range)

20.7 ± 9.8 / 19 (1–50)

Glasgow Coma Score at Scene (mean ± SD)/(median, range)

8.7 ± 4.3 / 9 (3–15)

Scene time (mean ± SD)

21.4 ± 16.2

Emergency Medical Services time (mean ± SD)

55.3 ± 28

Intubation

129 (77.2%)

On-scene

53 (41%)

Emergency department/Trauma Resuscitation Unit

76 (59%)

Hospital stay

10 (1–131)

ICU stay

5 (1–39)

Ventilator days

1.5 (1–37)

Mortality

22 (13.3%)

The median values of injury severity in the study population were indicative that at least half of all the patients had a severe injury and specifically a moderate to severe TBI, i.e., ISS was 19 (1–50), head AIS was 3 (1–5), and scene GCS was 9 (3–15). The majority of cases sustained severe TBI with lower scene GCS (70%) as well as high head AIS (61%), and 82.3% of them had polytrauma (ISS ≥ 16). Based on the GCS at ED, the severity of injury was mild (12.2%), moderate (22.6%), and severe pTBI (65.2%). Skull fracture (61.7%) and brain contusion (49.7%) were the most frequent CT scan findings followed by brain edema (30.7%), subarachnoid hemorrhage (24.2%), subdural hemorrhage (24%), and epidural hemorrhage (13.8%) (Fig. 1).
Fig. 1

Type and frequency of head injuries

Table 2 presents the frequency and rate of pTBI per 100,000 populations during the study period, classified by gender. The rate of pTBI was low in 2010 (5.1 cases per 100,000 children per year), and it peaked in 2013 (13.8 cases per 100,000 children per year) with a slight drop in the last year of the study period. The rate of pTBI was disproportionately higher among males in comparison to females, but the male to female incidence rate ratio decreased by more than fourfold during the study period, from 13.3 to 3.1 male per female pTBI patient.
Table 2

pTBI rates per 100,000 population across the study duration

Year

Male ≤ 18 years

Female ≤ 18 years

Male to female ratio

Total ≤ 18 years

Male pTBI admissions

Female pTBI admissions

pTBI rates per 100,000 males

pTBI rates per 100,000 females

Male to female ratio (rate per 100,000)

Overall pTBI rates per 100,000 population

2010

150,841

142,632

1.06

293,473

14

1

9.3

0.7

13.3

5.1

2011

160,425

152,427

1.05

312,852

25

3

15.6

2.0

7.8

8.8

2012

169,029

159,408

1.06

328,437

23

6

13.6

3.8

3.6

8.7

2013

183,214

174,098

1.05

357,312

39

11

21.3

6.3

3.4

13.8

2014

204,174

183,461

1.11

387,635

35

10

17.1

5.5

3.1

11.3

Average

      

15.4

3.6

4.3

9.5

Table 3 demonstrates the demographics, mechanism of injury, and characteristics of pTBI patients classified by age group. The predominance of male patients was consistent between all of the age groups. The majority of the local population with TBI was between 15 and 18 years [52.6%]; expatriates, however, had most pTBI patients between 0–4 [32.6%] and 15–18 years [28.1%].
Table 3

Demographics and mechanism of injury and severity of pTBI based on different age groups

Variable

0–4 years

5–9 years

10–14 years

15–18 years

P

Number

39 (23.4%)

33 (19.8%)

29 (17.4%)

66 (39.5%)

 

Age (mean ± SD)

2.6 ± 1.2

6.4 ± 1.2

12.7 ± 1.4

16.6 ± 1.1

0.001

Males

28 (71.8%)

26 (78.8%)

24 (82.8%)

58 (87.9%)

0.22

Nationality

 Qatari-nationals n = 78

10 (12.8%)

14 (17.9%)

13 (16.7%)

41 (52.6%)

0.004 for all

 Non-nationals n = 89

29 (32.6%)

19 (21.3%)

16 (18.0%)

25 (28.1)

Mechanism of injury

 Motor vehicle crash

8 (20.5%)

6 (18.2%)

14 (48.3%)

51 (77.3%)

0.001 for all

 Pedestrian injury

5 (12.8%)

8 (24.2%)

5 (17.2%)

0 (0.0%)

 Falls from height

20 (51.3%)

10 (30.3%)

2 (6.9%)

4 (6.1%)

 Motor cycle crash/bike

0 (0.0%)

3 (9.1%)

2 (6.9%)

2 (3.0%)

 All-terrain vehicle

0(0.0%)

3 (9.1%)

4 (13.8%)

4 (6.1%)

 Fall of heavy object

3 (7.7%)

1 (3.0%)

0 (0.0%)

2 (3.0%)

 

Ejection from vehicle

3 (37.5%)

3(50.0%)

4 (28.6%)

29 (56.9%)

0.001

Scene time

12.2 ± 7.3

16.6 ± 11

25.4 ± 14

26.9 ± 19.9

0.002

EMS time

42 ± 20

44 ± 18.7

57.6 ± 22.8

67.6 ± 32.8

0.001

Severe TBI (GCS < 9)

59%

40.6%

67.9%

80%

0.01

Glasgow Coma Score Scene; median(range)

7 (3–15)

10 (3–15)

10 (3–15)

8.5 (3–15)

0.36

Glasgow Coma Score ED; median (range)

7 (3–15)

10 (3–15)

5 (3–15)

3 (3–15)

0.001

Head AIS, mean ± SD

3.6 ± 1.1

3.1 ± 0.8

3.4 ± 0.8

3.6 ± 0.9

0.15

Injury severity score, mean ± SD

19.8 ± 10.1

15.6 ± 8

19.7 ± 8

24.2 ± 9.8

0.001

Table 4 shows the Emergency medical services (EMS) characteristics and interventions, type of head injury, neurosurgical interventions, injury severity, complications, and mortality among pTBI cases. Intubation at the scene was most common in the oldest age group, 15–18 years, whereas the youngest age groups, 0–4 and 5–9 years, were most commonly intubated in the ED. Among the different types of head injuries, brain contusions showed a significantly higher incidence, with the two older age groups of pTBI patients. There were no statistically significant differences between the age groups for the other types of head injuries. Neurosurgical interventions, head AIS, and GCS (at scene) were comparable among different age groups. Although the head AIS showed no significant difference by age groups, it showed a trend towards higher scores in infants/toddlers and teenagers. Teenagers (15–18 years) had significantly higher mean ISS (24.2 ± 9.8) and lower median GCS ED [3 (3–15)] than the younger groups (P = 0.001).
Table 4

Type of head injury, interventions, and complications among pTBI patients

Variable

0–4 years (n = 39)

5–9 years (n = 33)

10–14 years (n = 29)

15–18 years (n = 66)

P

Type of head injury (%)

 Skull fracture

69

70

64

53

0.31

 Brain contusion

36.4

35.7

61.5

58.6

0.04

 Subdural hemorrhage

19.4

17.4

36.4

24.5

0.42

 Epidural hemorrhage

12.9

8.7

22.7

13.0

0.56

 Extra axial hemorrhage

3.4

12.5

5.3

5.9

0.58

 Subarachnoid hemorrhage

22.6

25.0

25.0

24.5

0.99

 Intraventricular hemorrhage

10.0

4.3

0.0

11.8

0.36

 Intracerebral hemorrhage

3.4

16.7

0.0

3.8

0.06

 Pneumocephalus

10.3

21.7

23.8

11.5

0.38

 Brain edema

34.4

23.1

27.3

33.3

0.75

 Diffuse axonal injury

9.7

15.4

14.3

24.1

0.36

ICP monitor insertion (%)

20.5

6.1

10.3

18.2

0.25

Craniotomy/craniectomy (%)

17.9

3.0

10.3

9.0

0.22

Intubation

26 (66.7%)

20 (60.6%)

22 (75.9%)

61 (92.4%)

0.001

Intubation at scene

15.4

15

41

61

0.001

Intubation at TRU/ED

84.6

85

59

39

0.001

Hospital stay; median(range)

7 (1–98)

7 (1–38)

10.5 (2–76)

19 (1–131)

0.001

ICU stay, median,(range)

2.5 (1–39)

2 (1–11)

3 (1–27)

11 (1–37)

0.001

Ventilator days, median(range)

1 (1–37)

1 (1–6)

1 (1–21)

5 (1–27)

0.001

Pneumonia (%)

6.7

0.0

23.8

46.4

0.001

Sepsis (%)

3.4

0.0

0.0

17.3

0.01

Complications such as pneumonia and sepsis, ICU LOS, and ventilator days were significantly higher in the oldest age group. The overall mortality was 13.3% (n = 22) which was comparable among the different age groups (P = 0.43). Eleven (50%) patients died within the first 24 h, seven (31.8%) died between 2–7 days, and 4 (18.2%) died after 1 week.

The case fatality rate (CFR) by the mechanism of injury in different age groups was presented in Table 5. The highest CFR was traffic-related in the ages between 10 and 18, whereas it was fall-related in younger age (5–9 years).
Table 5

pTBI incidence and case fatality rate (CRF) by age groups and mechanism of injury (MOI)

MOI

0–4 years (n = 39)

5–9 years

(n = 33)

10–14 years

(n = 29)

15–18 years

(n = 66)

CFR by MOI

MVC

n = 8

n = 6

n = 14

n = 51

12.7

Pedestrian injury

n = 5

n = 8

n = 5

n = 0

22.2

Fall

n = 20

n = 10

n = 2

n = 4

8.3

Other MOI

n = 6

n = 9

n = 8

n = 11

14.7

CFR by age group

20.5

9.1

13.8

10.6

 

Discussion

Pediatric TBI remains an important public health concern worldwide, which necessitates the adoption and implementation of strict prevention strategies based on the available local epidemiologic characteristics [9]. This is a unique study from the Arab Middle East to describe the epidemiologic characteristics and outcomes of a nationally representative population of pTBI classified by age group. There are several key findings in this study. First, one out of every six victims of TBI in Qatar is a child. Second, the leading mechanism of injury and outcomes of pTBI are age-dependent. Third, the most affected group is teenagers (40%) followed by infants/toddlers (23%). Fourth, two thirds of the cohort has severe pTBI. Fifth, males predominate among the victims but the gender difference is narrowing.

Eighteen percent of all TBI in Qatar, during the study period, were children, and according to the Qatar Statistics Authority, 18% of the population of Qatar are children, aged 18 years or younger [10]. This denotes that children in Qatar do not bear a disproportionate risk for TBI, but at the same time, they are not more protected than adults from TBIs. An analysis of the leading age group-dependent mechanisms of injury, that cause pTBI in Qatar, will inform the creation of focused efforts to prevent these pTBIs.

There are few published studies on pTBI from the Gulf Cooperation Council (GCC) countries including Qatar. In 2012, Hefny et al. [11] reviewed the pediatric trauma research in the GCC and demonstrated a pediatric trauma publication rate of 0.16 publications per 100,000 populations. We have observed a high age-specific incidence and mortality in pTBI cases mainly involving teenagers and infants/toddlers. The mean age of pTBI cases in our study was 10 years which is similar to a recent study from a neighboring larger country (Saudi Arabia) with an average age of 8.6 years for pTBI admissions [12]. The present study estimates the hospitalization rate of pTBI to be 9.5 cases per 100,000 children per year, which ranges between 5 and 14 cases per 100,000 children per year. A recent study from Qatar reported the incidence of severe pediatric trauma to be 163 per 280,000 children (≤ 18 years) who visited ED per year [5]. A previous report from our center identified that 28% of the TBI patients were under the age of 20 years old [13].

MVCs were the leading cause of pTBI in our study, accounting for 77.3% of the pTBIs in the 15–18 years old group. A similar figure was reported in the Saudi Arabia (74.4%) for high school students [12]. In our series, the 57% ejection (from the vehicles) rate are inversely proportional to the 5% rate of seatbelt use. A recent publication from our center demonstrated that the underutilization of seatbelt among young vehicle occupants is associated with ejection and higher morbidities and mortality [14]. It has been estimated that seatbelt compliance could possibly result in twofold reduction in severe injury and fourfold reduction of mortality among MVC victims. Grivna et al. [15] reported 24% fatality among unrestrained adolescent (10–14 years) drivers in the UAE. A cross-sectional survey conducted in Kuwait revealed the limited knowledge about child car safety among the parents. Nearly two out of five participants have either seated a child in the front seat or on their lap while driving [16]. A roadside survey, conducted outside nurseries in Qatar, observed a 38% appropriate utilization with an almost equal 41% incorrect utilization of car seats for children under 5 years. Additionally, 11% of the more than 2000 children observed were improperly seated, unrestrained, and in the front seat [17]. In this study, a higher proportion of injured infants/toddlers, 37.5%, were occupying the front seat of the vehicle, a clear violation of Qatar traffic regulations [17]. This finding highlights the need for more consistent enforcement of the existing laws on child passenger safety and the expansion of these laws that require the use of restraints for all vehicle passengers, children, and adults in all seating locations.

All Terrain Vehicle (ATV)-related pTBIs were most common among adolescents, 10–14 years, in our study, which is in line with a previous study on recreational-related injuries from Qatar [18]. In this study, bicycle-related pTBI was most common in young children, 5–9 years, and the use of helmet was not reported or documented in any. These recreational or sports-related pTBIs among younger children 14 years and under are a call for the widespread education in bicycle and ATV safety in schools and the creation and enforcement of laws requiring the use of helmets and safety gear for all bicycle and ATV users.

During the study period, we noted that the rate of pTBI increased more than the double, from 5.1 to 13.8 cases per 100,000 children per year with a slight decrease in the year 2014. Whether this decrease is sustained will be the subject of future research.

Eighty percent of our pTBI patients were males, and the incidence rate of male pTBI was fourfold higher than females. Similarly, an over-representation of males was also observed in studies from KSA and UAE [12, 19]. The initial gender discrepancy could be partly explained by differential risk exposure which in our study was underage driving by young males. This risk factor has been previously identified and has been the focus of concerted efforts by multi-disciplinary stakeholder groups, but it still remains as a priority area for road safety in Qatar.

The present study shows a frequent association of fall-related pTBI among infants/toddlers which is consistent with an earlier study from Qatar [13]. Studies from Saudi Arabia reported fall to be the most common mechanism for pTBI among children of age less than 6 years (45.6%) and in the age up to 3 years (34%) [12, 20]. Also, our findings showed that pedestrians constituted 11% of total pTBI victims, and the highest association was observed in the young age group (5–9 years). Similarly, Grivna et al. [19] showed that 15% of pTBI involved pedestrian-motor vehicle collisions mainly expatriates of age less than 10 years. Another study from KSA reported a higher frequency of pedestrian (30.3%) sustained pTBI from major trauma [12].

In our study, the CFR was higher in infants/toddlers (20.5%) and adolescents (13.8%). An earlier study from KSA reported a similar mortality rate (20%) in late adolescents [12]. The most fatal mechanism of injury in our study was pedestrian hit by motor vehicle. Further investigation is required in this area using larger sample size.

Creating injury prevention programs to specifically prevent pTBIs must begin with specific evidence on the leading mechanism of disease for each age group. This allows for the application of interventions that are not only proven to work but also appropriate for the developmental stage of the child at risk. A description of the age-specific patterns of road traffic injuries in children in Qatar has been previously presented, and this study further adds to the evidence for child injury programs.

Based on this study, families with infants and young toddlers, 0–4 years of age, should be the beneficiary of education and information campaigns to increase knowledge on ways to improve home safety, to prevent pTBIs from falls and falling objects, and road safety to increase child restraint use and pedestrian safety. For families with older children, 5–9 years, the highest risks for pTBI come from falls, pedestrian injuries, and from the precocious use of the road as pedestrians, cyclists, and ATV riders. Adolescents could be the beneficiary of school-based education in almost all aspects of safe road use, especially as ATV drivers, and the tighter enforcement of the minimum age for driving in Qatar, 18 years and above. Lastly, teenagers must pass through graduated driver licensing programs, the only proven means of reducing their risk from pTBI as drivers. Untested driver education programs must not be implemented as they have actually been proven to increase the odds of young driver involvement in MVCs.

The educational and awareness campaigns must not be limited only to parents but to also include all the caregivers, especially for the younger age groups who are under the supervision of nannies and/or day care center staff. The creation and consistent enforcement of restraint laws for passengers of all ages will be instrumental in reducing the unnecessary toll from pTBIs in Qatar. Lastly, we urge that multi-disciplinary injury prevention programs be implemented and evaluated to reduce pTBI [21]. To highlight the importance of pTBI in our region, we summarized the findings of the present study and other published studies on pediatric head trauma in the Middle Eastern population in Table 6 [12, 20, 2229].
Table 6

Pediatric head injury studies from the Middle East Region (2007–2016)

Author (year)

Country and Study duration

Study sample size and Inclusion/exclusion criteria

Mechanism of Injury

Injury severity

Incidence/mortality

Iranmanesh (2009) [23]

Iran, 2003–2005

380 head trauma

Inclusion: patients admitted with brain injury; age < 18 years Exclusion: not reported

MVC 72%; falls 11%

No GCS reported; abnormal skull radiographs 12%; abnormal brain-CT scans 17%

Head trauma was 32%. Most affected age groups: 7–12 years (43%) and 12–18 years (35%).

TBI mortality 7%

Assiry et al. (2014) [20]

KSA, 2012-

71 head trauma

Inclusion: pediatric head trauma (age ≤ 16 years). Exclusion: not reported

MVC 63%; falls 32%

Not reported

Most affected age group: > 7–16 years (55%)

Alhabdan et al. (2013) [12]

KSA, 2001–2009

1219 head trauma

Inclusion: any head injury in pediatric patients (age ≤ 18 years); patients admitted or died at ED Exclusion: not reported

MVC (34%); pedestrian (30%); falls (28%).

Median (range) GCS 11

(3–15); mean ISS 16.6 (range 1–75)

Most affected age group: < 12 years (66%);

Mortality 15%; 50% died on arrival

Fakharian et al. (2014) [24]

Iran, 2004–2010

604 infant head trauma

Inclusion: infants (< 24 months) with head trauma; hospitalized for > 24 h. Exclusion: birth trauma

Falls (63%)

GCS: (14–15) 99%; (≤ 13) 1%; mean GCS 14.93 ± 0.8

Head trauma in infants (≤ 24 m) was 21% of all children (< 15 years); mortality 0.8%; in-hospital mortality 6.6 per 100,000 infants.

Lotfi-Sadigh et al. (2015) [25]

Iran, 2011–2014

218 children with blunt head trauma

Inclusion: minor blunt head trauma (GCS 14 or 15); presented to ED within 24 h of trauma; age < 2 years. Exclusion: no signs or symptoms of head trauma other than scalp abrasions or lacerations; penetrating trauma; comorbidities (ventricular shunt or bleeding disorders); previous neuroimaging; patients left ED against medical advice

Falls 74%; MVC 14%

Head trauma was defined as GCS 14 or 15; abnormal CT findings in 8%

No mortality was reported due to mild head trauma

Alharthy et al. (2015) [26]

KSA, 2011

289 children with blunt head trauma. Inclusion: blunt head injury; age 1–14 years; GCS 13–15; presentation within 24 h post-injury; CT scan done. Exclusion: penetrating head trauma, local facial signs post trauma, signs of basal skull

Fracture; comorbidities that predispose to bleeding tendency; multiple major traumas; prolonged amnesia and LOC (prolonged amnesia and loss of consciousness for more than 5 min); active seizure on arrival to ED; GCS < 13.

Falls 53%; MVC 23%

All cases were with minor head trauma; GCS 15 (94%); 14 (4%); 13 (2%); abnormal brain CT findings in 5% (of these, 53% in falls, 23% in MVC)

TBI in minor head trauma among children (1–14 years) was 5%; no mortality was reported due to mild head trauma

Yagmur et al. (2016) [27]

Turkey, 2008–2012

203 pre-school children deaths due to head trauma.

Inclusion: fatal head trauma in pre-school children (age ≤ 5 years); head trauma with general body trauma if cause of death was head trauma. Exclusion: cause of death other than head trauma

Falls 48%; MVC 33%

All cases were fatal

18% of deaths among children (age ≤ 5 years) were due to head trauma

Klimo et al. (2015) [28]

Iraq, 2004–2012

268 children with severe isolated head trauma in Iraq during Operation Iraqi Freedom (OIF).

Inclusion: pediatric head injury; age < 18 years; isolated serious head injury (defined as AIS > 3); during OEF (Operation Enduring Freedom) or OIF (Operation Iraqi Freedom). Exclusion: not reported

Penetrating injuries 61%; caused by IED (38%) or blast (25%).

Median (range) GCS 7 (3–15)

Of the total severe isolated head trauma among children during US military operation in Iraq and Afghanistan, 41% were Iraqi children. Mortality among the severe isolated head trauma in children was 26%

Gofin and Avitzour (2007) [29]

Israel, 2001

472 head trauma in children;

Inclusion: pediatric head trauma; age 0–17 years; Israeli citizens; information about mechanism and type of injury were available. Exclusion: not reported

TBI definition by ICD-9-CM codes

Falls 46%

GCS was not reported; ISS was >16 in 60%

42% of the head trauma in children (0–17 years) was TBI or possible TBI. Most affected age group: 0–4 years (51% in Jews and 57% in Arabs)

Present study

Qatar, 2010–2014

167 pediatric TBI cases (≤ 18 years);

Inclusion: all pTBI cases required admission, ICD-9 codes from 800 to 959.9 Exclusion: codes 905–909.9; 910–924.9 and 930–939.9

MVC 47%; falls 22%

Median (range) GCS at scene: 9 (3–15); Median (range) ISS: 19 (1–50)

18% of the total TBIs were in children; overall rate of TBIs among children in Qatar 9.5 per 100,000; most affected age group was 15–18 years (40%) followed by 0–4 years (23%). Mortality 13%

A potential limitation of this study is the retrospective design. Our registry does not capture comprehensive information on the crash details, height of fall, site of injury and detailed restraint use. Also, we may underestimate the health burden from pTBI as it does not include patients who died at the scene, child abuse, long-term outcomes, and quality of life. The sample size was not prespecified as we intended to enroll all the patients ≤ 18 years old who sustained TBI and required admissions. Selection bias was minimized as HGH is the tertiary hospital that deal with significant TBI; however, excluding patients who were not admitted might carry this bias.

Conclusions

The present study addresses the local burden of pTBI which could be the basis to develop efficient, tailored strategies and interventions for the community safety in our region. Targeted prevention programs are needed to reduce morbidity and mortality of pTBI.

Notes

Declarations

Acknowledgements

The authors thank the entire registry database team in the Trauma Surgery Section, Hamad General Hospital, Doha, Qatar.

Funding

This research did not receive any specific grant from any funding agency in the public, commercial, or not-for-profit sector.

Availability of data and materials

Anonymous data will be available after getting permission according to the medical research center (MRC) policy at HMC, Qatar; research@hamad.qa.

Author’s contributions

AE contributed to the study design, data analysis and interpretation, and drafting and critical review of manuscript. RC was involved in the study design, data acquisition, writing of the manuscript, and review. AM and GJ contributed to the data acquisition, interpretation, and drafting of the manuscript. KA and HA contributed to the study design, data interpretation, and critical review. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study obtained ethical approval from Research Ethics Committee, at Medical Research Center, Hamad Medical Corporation (HMC), Doha, Qatar (IRB#15093/15).

This is a retrospective analysis with no direct contact with participants, and data were collected anonymously. Therefore, the medical research center granted a waiver of consent.

Consent for publication

This study was granted a waiver of consent and permission for publication from the medical research center (IRB#15093/15).

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Clinical Research, Trauma Surgery Section, Hamad General Hospital
(2)
Clinical Medicine, Weill Cornell Medical School
(3)
Hamad Injury Prevention Program, Trauma Surgery Section, Hamad General Hospital
(4)
Trauma Surgery Section, Hamad General Hospital
(5)
Department of Pediatrics, Division of Pediatric Emergency Medicine, Hamad Medical Corporation

References

  1. Zaloshnja E, Miller T, Langlois JA, Selassie AW. Prevalence of long-term disability from traumatic brain injury in the civilian population of the United States, 2005. J Head Trauma Rehabil. 2008;23:394–400.View ArticlePubMedGoogle Scholar
  2. Shao J, Zhu H, Yao H, Stallones L, Yeates K, Wheeler K, et al. Characteristics and trends of pediatric traumatic brain injuries treated at a large pediatric medical centre in China, 2002–2011. PLoS One. 2012;7:e51634. https://doi.org/10.1371/journal.pone.0051634.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Da Dalt L, Marchi AG, Laudizi L, et al. Predictors of intracranial injuries in children after blunt head trauma. Eur J Pediatr. 2006;165:142–8.View ArticlePubMedGoogle Scholar
  4. Faul M, Xu L, Wald MM, Coronado VG. Traumatic brain injury in the United States: emergency department visits, hospitalizations and deaths 2002–2006. Atlanta (GA): Centers for Disease Control and Prevention, National Center for Injury Prevention and Control; 2010.View ArticleGoogle Scholar
  5. Alyafei KA, Toaimah F, El Menyar A, Al Thani H, Youssef B, Mollazehi M, Consunji R. Analysis of pediatric trauma data from a hospital based trauma registry in Qatar. Int J Crit Illn Inj Sci. 2015;5:21–6.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Cassidy LD, Potoka DA, Adelson PD, et al. Development of a novel method to predict disability after head trauma in children. J Pediatr Surg. 2003;38:482–5.View ArticlePubMedGoogle Scholar
  7. Rivara FP, Koepsell TD, Wang J, et al. Incidence of disability among children 12 months after traumatic brain injury. Am J Public Health. 2012;102(11):2074–9.View ArticlePubMedPubMed CentralGoogle Scholar
  8. deGuise E, LeBlanc J, Feyz M, Meyer K, Duplantie J, Thomas H, Abouassaly M, Champoux MC, Couturier C, Lin H, et al. Long-term outcome after severe traumatic brain injury: the McGill interdisciplinary prospective study. J Head Trauma Rehabil. 2008;23:294–303.View ArticlePubMedGoogle Scholar
  9. Keenan HT, Bratton SL. Epidemiology and outcomes of pediatric traumatic brain injury. Dev Neurosci. 2006;28:256–63.View ArticlePubMedGoogle Scholar
  10. Ministry of Development Planning and Statistics, Population Topics, Retrieved Oct 29 2017 from http://www.mdps.gov.qa.
  11. Hefny AF, Grivna M, Abbas AK, Branicki FJ, Abu-Zidan FM. Pediatric trauma research in the Gulf Cooperation Council countries. Asian J Surg. 2012;35:74–80.View ArticlePubMedGoogle Scholar
  12. Alhabdan S, Zamakhshary M, AlNaimi M, et al. Epidemiology of traumatic head injury in children and adolescents in a major trauma center in Saudi Arabia: implications for injury prevention. Ann Saudi Med. 2013;33:52–6.View ArticlePubMedGoogle Scholar
  13. El-Matbouly M, El-Menyar A, Al-Thani H, Tuma M, El-Hennawy H, Abdulrahman H, Parchani A, Peralta R, Asim M, El-Faramawy A, Zarour A, Latifi R. Traumatic brain injury in qatar: age matters- insights from a 4-year observational study. Sci World J. 2013;22:354920.Google Scholar
  14. El-Menyar A, Consunji R, Asim M, Abdelrahman H, Zarour A, Parchani A, Peralra R, Al-Thani H. Underutilization of occupant restraint systems in motor vehicle injury crashes: a quantitative analysis from Qatar. Traffic Inj Prev. 2015;17(3):284–91. https://doi.org/10.1080/15389588.2015.1069820.View ArticlePubMedGoogle Scholar
  15. Grivna, M., Barss, P, El-Sadig, M. Epidemiology and prevention of child injuries in the United Arab Emirates: a report for Safe Kids Worldwide, 2008. University Faculty of Medicine & Health Sciences and Roadway Transportation & Traffic Safety Research Center, Al Ain, UAE; 2008.Google Scholar
  16. Raman, S.R., Landry, M.D., Ottensmeyer, C.A., Jacob, S., Hamdan, E., & Bouhaimed, M. (in press). Keeping our children safe in motor vehicles: knowledge, attitudes and practice among parents in Kuwait regarding child car safety. Int J Inj Control Saf Promot doi:https://doi.org/10.1080/17457300.2012.745578.
  17. Malik S; Saad R; Peralta R; Allen K; Hyder A; Al Thani H; Consunji R. Roadside observational surveys of restraint use by young children in Qatar: initial results and recommendations, Journal of Local and Global Health Science 2015:40 https://doi.org/10.5339/jlghs.2015.itma.40 17
  18. Parchani A, El-Menyar A, Al-Thani H, Tuma M, Zarour A, Abdulrahman H, et al. Recreational-related head injuries in Qatar. Brain Inj. 2013;27:1450–3.View ArticlePubMedGoogle Scholar
  19. Grivna M, Eid HO, Abu-Zidan FM. Pediatric and youth traffic-collision injuries in Al Ain, United Arab Emirates: a prospective study. PLoS One. 2013;8(7):e68636. https://doi.org/10.1371/journal.pone.0068636 View ArticlePubMedPubMed CentralGoogle Scholar
  20. Assiry K, Abdulmutali H, Alqahtani A, Alyahya A, Elawad M. Traumatic head injuries in children: experience from Asir, KSA. Online J Med Med Sci Res. 2014;3(5):44–47. 20.Google Scholar
  21. Consunji RJ, Peralta RR, Al-Thani H, Latifi R. The implications of the relative risk for road mortality on road safety programmes in Qatar. Inj Prev. 2015;21(e1):e105–8. https://doi.org/10.1136/injuryprev-2013-040939.View ArticlePubMedGoogle Scholar
  22. Dewan MC, Mummareddy N, Wellons JC 3rd, Bonfield CM. Epidemiology of Global Pediatric Traumatic Brain Injury: Qualitative Review. World Neurosurg. 2016;91:497-509.e1.Google Scholar
  23. Iranmanesh F. Outcome of head trauma in children. Indian J Pediatr. 2009;76:929–31.View ArticlePubMedGoogle Scholar
  24. Fakharian E, Mohammadzadeh M, Behdad S, Babamohammadi A, Mirzadeh AS, Mohammadzadeh J. A seven-year study on head injuries in infants, Iran—the changing pattern. Chin J Traumatol. 2014;17(3):153–6.PubMedGoogle Scholar
  25. Lotfi Sadigh S, Gholipour C, Vahdati SS, Ghafouri RR, Haghighi AG. Clinical predictors of abnormal computed tomography scan in minor head trauma in children under 2 years old. Anal Res Clin Med. 2015;3:57–63.Google Scholar
  26. Alharthy N, Al Queflie S, Alyousef K, Yunus F. Clinical manifestations that predict abnormal brain computed tomography (CT) in children with minor head injury. J Emerg Trauma Shock. 2015;8:88–93.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Yagmur F, Celik S, Yener Z, Koral F, Yaman T, Sezer Y, et al. Head trauma-related deaths among preschool children in Istanbul, Turkey. Am J Forensic Med Pathol. 2016;37:35–9.View ArticlePubMedGoogle Scholar
  28. Klimo P Jr, Ragel BT, Jones GM, McCafferty R. Severe pediatric head injury during the Iraq and Afghanistan conflicts. Neurosurgery. 2015;77:1–7. discussion: 7View ArticlePubMedGoogle Scholar
  29. Gofin R, Avitzour M. Outcome of head and other injuries among Israeli children: physical limitations and stress symptoms. Isr Med Assoc J. 2007;9:531–6.PubMedGoogle Scholar

Copyright

© The Author(s). 2017

Advertisement