Patterns of injuries and predictors of inhospital mortality in trauma patients in Saudi Arabia.

BACKGROUND: The aim of this study was to describe the pattern of traumatic injuries and determine the predictors of inhospital mortality in patients admitted to the emergency department. PATIENTS AND METHODS: This is a retrospective cohort study of 3,786 patients with traumat injuries admitted to the emergency department of King Abdulaziz Medical City, Riyadh, Saudi Arabia, between January 2012 and December 2014. Data on patient characteristics, trauma characteristics and outcomes were extracted from medical records. A negative binomial regression model was utilized to identify significant predictors of inhospital mortality.
RESULTS: Of all injured patients, 77.5% were male, 29.8% were aged 15-25 years and 25.7% were aged 26-45 years. Blunt trauma was the main mechanism of injury, including motor vehicle crashes (MVCs) in 52.0% and falls in 25.8% of patients. Most patients had injuries to the extremities (61.3%), followed by the head (32.2%), chest (16.9%) and abdomen (8.9%). Injuries were mild in 49.7% of patients, moderate in 30.2% and severe in 20.1%. The sex of the patients was significantly associated with the mechanism of injury (p<0.001), severity (p<0.001), anatomical site of injury (p<0.001), admission to the intensive care unit (p<0.001), need for trauma team activation (p<0.001) and type of transportation to hospital (p<0.001). The predictors of inhospital mortality were age (rate ratio [RR] for each 10-year increase=1.174; p<0.001), falls and burns (RR=2.337 and 1.728; p<0.001) and moderate and severe injuries (RR=6.438 and 181.780; p<0.001).
CONCLUSION: Our results suggest different patterns of trauma injuries according to patient age and sex. MVCs were the leading cause of injuries, but falls and burns had the highest inhospital mortality. This suggests the need for a comprehensive national education and prevention programs that address all causes of injuries.

Introduction

Injuries result in 16,000 deaths per day and more than 5 million deaths per year.1,2 They are one of the major causes of death worldwide and result in temporary or permanent disability with consequential social and economic impact. The leading causes of injury-related deaths include road traffic injuries (RTIs), interpersonal and self-inflicted violence, drowning, burns, poisoning and falls.2

Over the past decade, there has been a decline in traumatic injuries; however, the patterns vary widely by cause, age, sex and region.3 This decline is due to major efforts in tailored preventive programs that have been developed to address major underlying causes of injuries. For instance, US has made tremendous progress in reducing falls and traffic-related injuries and fatality in recent decades.4 This was possible via successful implementation and execution of preventive strategies and programs such as Stopping Elderly Accidents, Deaths and Injuries (STEADI) deployed by the US Center for Disease Control.5

In Saudi Arabia, RTIs account for more than 80% of all trauma admissions.6 In 2010, RTIs ranked second in the main causes of daily adjusted life years in Kingdom of Saudi Arabia (KSA), after major depressive disorder, and the third leading cause of death, accounting for 11.75% of total mortality.7 The Ministry of Health, in collaboration with the Ministry of Interior, launched a road safety program called Saher in 2009,8 which is an automated system developed to manage traffic via electronic systems in major cities in Saudi Arabia. This system uses a digital camera network connected to the National Information Center to track any violations and to control traffic. Alghnam et al9 reported significant reductions in the severity and mortality of motor vehicle crash (MVC)-related injury following the implementation of this system. Saudi Arabia has also enforced seat belt law from December 5, 2000, making its use compulsory for all drivers and front seat passengers.10,11 Despite this remarkable progress on combating RTI, unfortunately there have been very few programs addressing other causes of injuries such as falls, burns and intentional injuries.

The burden of injuries in terms of morbidity, disability and mortality is augmented by injuries other than RTIs. This is especially important given the fact that the life expectancy of Saudi population is in a dramatic increase during the past few decades. This change in population structure is likely to lead to changes in patterns of trauma injuries and mortality.12,13 To properly plan for comprehensive education and prevention programs to combat trauma of causes other than MVCs, studies are needed to understand their patterns. Thus, the aim of this study was to describe the pattern of traumatic injuries and predictors of in-hospital mortality in patients admitted to the emergency department of King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia, between January 2012 and December 2014.

Patients and methods

The study was carried out at the Emergency Care Center (ECC) of KAMC, a 900-bed tertiary-care Joint Commission International-accredited academic center. The ECC of KAMC is the largest in Riyadh and has 132 beds. The ECC provides free, high-quality emergency care for National Guard employees, their families and anyone who is critically ill or injured and seeks care. The ECC receives approximately 32,000 visits per year and also serves as a referral trauma center for patients across the entire KSA. This study was approved by the institutional review board (IRB) of the Ministry of National Guard-Health Affairs (MNG-HA) in Riyadh, Saudi Arabia (ref no. RSS15/003).

Study design

This is a retrospective cohort study of 3,786 patients with trauma injuries who were admitted to the ECC between January 2012 and December 2014.

Data collection

Data were extracted from electronic medical records and patient charts. Patient characteristics included age and sex. Trauma characteristics included the type and mechanism of injury, Injury Severity Score (ISS), adult trauma score and trauma team activation. Outcomes included inhospital mortality, hospital disposition, emergency room (ER) disposition and length of stay (LOS).

Injuries were assessed and classified according to the ISS,14–16 Glasgow Coma Scale (GCS)17,18 and Revised Trauma Score (RTS).19 The injury type was classified as blunt, burn/scald or penetrating (gunshot/stab wound or others). The injury mechanism was classified into one of the five groups: motor-vehicle-related injuries (including MVCs and injuries to pedestrians and motorcycle riders), burns (either from fire, flame or liquid), falls, intentional injuries (comprising self-inflicted and suicidal injuries, and injuries purposely inflicted by others, such as homicidal injuries) and other injuries. This last group included drowning/submersion, suffocation and foreign body-mediated injuries. In our hospital, trauma activation is based on a complex algorithm that involves the sequential assessment of several criteria of physiological, anatomical, mechanism of injury and logistical domains.

The ER LOS was defined as the time spent from the patient’s arrival at the ER until disposition to the intensive care unit (ICU), burn unit, morgue, operating room or ward. The hospital LOS was the time from ER disposition until discharge. The ICU LOS was the time spent in the ICU following disposition from the ER. All data were collected after obtaining the approval of the IRB of the MNG-HA (ref no. RSS15/003). Consent was deemed not applicable by IRB due to the fact that all data utilized in this study were extracted retrospectively from the hospital health information system.

Statistical analyses

All categorical variables were summarized and reported in terms of frequency and proportion, and continuous variables were summarized and reported in terms of mean and SD. Categorical variables were compared using Chi-square and Fisher’s exact tests, as appropriate. Continuous variables, including ISS, GCS score, RTS and LOS, were compared using Student’s t-tests. To determine the predictors of inhospital mortality, we analyzed mortality by generalized linear models with log link function and negative binomial distribution. Mortality was included as the dependent variable, and age in years, ISS, sex and mechanism of injury were included as independent variables. The results were reported in terms of rate ratio (RR) and the corresponding 95% CI. Statistical significance was determined at a type I error rate of 0.05. All analyses were performed with SPSS version 21 (IBM Corporation, Armonk, NY, USA).

Results

The study population consisted of 3,786 patients presenting with injuries during a period of 3 years, 77.5% of whom were male. A little less than one third (29.8%) of patients were aged 15–25 years and 25.7% were aged 26–45 years. The mean age of female patients (33.7 years) was significantly higher than that of male patients (28.4 years, t=5.39, p<0.001; Table 1).

Table 1

Patterns of trauma injuries in 3,786 patients admitted to KAMC, Riyadh, Saudi Arabia

Characteristics	All (N=3,786, 100%)		Male (N=2,934, 77.5%)		Female (N=852, 22.5%)		Sex difference (χ2, p-value)
	n	%	n	%	n	%
Patients’ characteristics
Age (years)							42.16, <0.0001a
0–5	447	11.8	269	9.2	178	11.8
6–14	449	11.9	338	11.5	111	13.0
15–25	1,130	29.8	1,027	35.0	102	12.0
26–45	974	25.7	803	27.4	171	20.1
46–64	386	10.2	257	8.8	129	15.1
65+	401	10.6	240	8.2	161	18.9
Mean (±SD)	29.62±21.62		28.4±19.7		33.7±26.8		t=5.39, <0.001a
Trauma characteristics
Mechanism of injury							256.21, <0.001a
Burn/scald	258	6.8	160	5.5	98	11.5
MVCs	1,969	52.0	1,676	57.1	293	34.4
Falls	977	25.8	613	20.9	364	42.7
Intentional	193	5.1	183	6.2	10	1.2
Others	389	10.3	302	10.3	87	10.2
Team activation							91.82, <0.001a
Not activated	2,950	77.9	2,184	74.4	766	89.9
Activated	836	22.1	750	25.6	86	10.1
Transportation							111.05, <0.001a
Ambulance	1,518	40.2	1,291	44.2	227	26.7
Medevac	223	5.9	192	6.6	31	3.6
Private/police	2,031	53.9	1,438	49.2	593	69.7
Anatomical siteb
Head	1,218	32.2	1,044	35.6	174	20.4	69.85, <0.001a
Chest	641	16.9	550	18.7	91	10.7	30.54, <0.001a
Abdomen	338	8.9	293	10.0	45	5.3	17.97, <0.001a
Extremities	2,322	61.3	1,777	60.6	545	64.0	3.22, 0.073
Disposition from ER							51.18, <0.001a
Burn unit	192	5.1	123	4.2	69	8.1
ICU	490	12.9	405	13.8	85	10.0
Operating room	908	24.0	752	25.6	156	18.3
Ward	2,132	56.3	1,598	54.5	534	62.7
Morgue	64c	1.7	56	1.9	8	0.9
Need for ICU admission							14.35, <0.001a
Yes	1,089	26.7	888	30.3	201	23.6
No	2,697	73.3	2,046	69.7	651	76.4
Trauma severity (ISS)
Mild (<9 points)	1,882	49.7	1,396	47.6	486	57.0	42.65, <0.001a
Moderate (9–15 points)	1,143	30.2	884	30.2	259	30.4
Severe (>15 points)	759	20.1	652	22.2	107	12.6
ISS score (mean ± SD)	10.2±11.2		10.8±11.8		8.1±8.7		t=7.40, <0.001a
GCS (mean ± SD)	13.4±3.6		13.1±3.7		14.2±2.6		t=9.43, <0.001a
RTS (mean ± SD)	11.4±1.2		11.4±1.3		11.6±0.9		t=6.52, <0.001a
LOS in ER (h)	14.7±20.0		15.1±20.6		13.4±17.6		t=2.36, 0.019a
LOS in ICU (days)	4.7±14.5		4.9±15.1		4.1±12.1		t=1.51, 0.13
LOS in hospital (days)	19.8±44.1		20.5±46.6		17.6±34.3		t=1.96, 0.05

Notes:

Statistical significance.

Categories are not mutually exclusive.

This figure includes 40 dead on arrival.

Abbreviations: ER, emergency room; GCS, Glasgow Comma Scale; ICU, intensive care unit; ISS, Injury Severity Score; KAMC, King Abdulaziz Medical City; LOS, length of stay; MVCs, motor vehicle crashes; RTS, Revised Trauma Score.

The majority of traumatic injuries were from blunt trauma in the form of MVCs (52.0%) and falls (25.8%). Injuries from MVCs made up a higher proportion of all injuries in males (57.1%) than in females (34.4%), whereas injuries from falls among females (42.7%) were double that of males (20.9%). Burn/scald injuries have only accounted for 6.8% of all injuries, equally distributed between burns due to fire flames (n=134, 51.9%) and burns due to liquid (n=124, 48.1%). Intentional injuries accounted for 5.1% of all injuries in the form of homicide injuries and injuries purposely inflicted by others (4.8%) and suicide and self-inflicted injuries (0.3%; Table 1).

The injuries were affecting a total of 4,519 anatomical sites, as they could affect more than one site in each patient. Injuries to the extremities affected 61.3% of patients, followed by injuries to the head (32.2%), chest (16.9%) and abdomen (8.9%). The proportions of males affected by head, chest and abdomen injuries were significantly higher than those of females (p<0.001 each; Table 1).

The distribution of different types of traumatic injury according to sex and age of the patients is shown in Figure 1. Injuries resulting from MVCs were the main type overall in males, whereas fall-related injuries were most common among females. In the 0–4-year age group, injuries were distributed fairly evenly between four types (MVCs, falls, burns and others). Injuries resulting from MVCs made up progressively higher proportions of the total as age increased, up to maximum rates in the 15–25-year age group (70.3% in men and 59.8% in women); the rates then fell as age increased further. The proportions of injuries resulting from falls decreased as age increased up to the 15–25-year age group, then increased through all higher age groups, reaching maximum rates in individuals aged ≥65 years (53.3% in men and 87.0% in women). Injuries from burns and scalding formed a much higher proportion of all injuries in the 0–4-year age group than in other groups (Table 1).

Figure 1

Distribution of mechanisms of traumatic injuries by sex and age groups.

Abbreviation: MVCs, motor vehicle crashes.

As summarized in Table 1, 49.7% of all injuries were mild in severity, 30.2% were moderate and 20.1% were severe. The proportions were significantly different in males and females with higher rates of severe injuries in males and higher rates of mild injuries in females (p<0.001). Among all injured patients, 56.3% were disposed from ER to the wards. The patterns of disposition were significantly different in males and females (p<0.001). The sex of the patients was also significantly associated with the requirement for trauma team activation, the need for ICU admission and the mode of transportation to the ER (all p<0.001).

The pattern of severity was different across the mechanism of injury by sex, where severity was significantly higher in males than in females, in injuries caused by MVCs (p=0.009) and in intentional injuries (p=0.004), as shown in Figure 2.

Figure 2

Association between the severity of injury and mechanisms of traumatic injuries by sex.

Abbreviation: MVCs, motor vehicle crashes.

As summarized in Table 2, 178 patients (4.8%) died in hospital, with 32.0% of those deaths occurring in patients aged 26–45 years, 89.3% in patients with severe injuries, 69.7% in patients with head, neck and face injuries, 97.0% in patients who required ICU admission, 69.1% in patients transported by ambulance and 65.2% in patients who required trauma team activation. Inhospital mortality (as a percentage of patients in each age group) increased significantly with age (Chi-square for linear trend=17.51, p<0.004). The difference in mortality rate between males and females was only significant in the 26–45-year age group (p=0.029). The highest rates of mortality were among patients with head, neck or face injuries (10.2%), burn injuries (9.7%) or severe injuries (20.9%) and those who needed trauma team activation (13.9%), transportation by Medevac (13.5%) or ICU admission (12.6%).

Table 2

Inhospital mortality rates in trauma patients admitted to KAMC, Riyadh, Saudi Arabia

Characteristics	Dead, n (%)	Case fatality rate (per 100 injured)
		Male	Female	Overall	p-value
Total	178 (100)a	5.1	3.7	4.8	0.09
Age (years)
0–5	11 (6.2)	2.3	2.5	2.5	0.76b
6–14	14 (7.9)	3.0	3.2	3.1	0.76b
15–25	47 (26.4)	4.1	4.2	4.2	0.61b
26–45	57 (32.0)	6.7	5.9	5.9	0.029
46–64	19 (10.7)	5.9	4.9	4.9	0.24
65+	30 (16.8)	8.8	7.5	7.5	0.24
χ2, p-value		17.86, <0.001	3.43, 0.63	17.51, 0.004
Mechanism of injury
MVCs	119 (66.9)	6.4	4.5	6.1	0.20
Burn/scald	25 (14.0)	10.7	8.2	9.7	0.44
Falls	24 (13.5)	2.6	2.2	2.5	0.69
Intentional	5 (2.8)	1.6	22.2	2.6	0.018b
Other	5 (2.8)	1.7	0.0	1.3	0.59b
χ2, p-value		35.84, <0.001	20.41, <0.001	45.41, <0.001
Anatomical sitec
Head/neck/face	124 (69.7)	10.5	8.0	10.2	0.31
Chest	59 (33.1)	9.3	8.8	9.2	0.88
Abdomen	28 (15.7)	8.5	6.7	8.3	0.67
Extremities	86 (48.3)	4.1	2.4	3.7	0.06
Team activation
Not activated	62 (34.8)	1.9	2.6	2.1	0.27
Activated	116 (65.2)	14.1	12.8	14.0	0.74
χ2, p-value		169.60, <0.001	22.63, <0.001	200.03, <0.001
Transportation
Ambulance	123 (69.1)	8.0	9.5	8.2	0.48
Medevac	30 (16.8)	15.1	6.5	13.9	0.20
Private/police	25 (14.1)	1.2	1.3	1.2	0.76
χ2, p-value		106.64, <0.001	30.81, <0.001	135.09, <0.001
Disposition from ER
Burn unit	16 (9.0)	8.1	8.7	8.3	0.89
ICU	46 (25.8)	9.6	8.2	9.4	0.69
Operating room	74 (41.6)	8.9	4.5	8.1	0.07
Ward	18 (10.1)	0.6	1.5	0.8	0.10b
χ2, p-value		501.63, <0.001	96.36, <0.001	604.88, <0.001
Need for ICU admission
Yes	137 (97.0)	13.0	10.9	12.6	0.72
No	41 (3.0)	1.6	1.4	1.5	0.44
χ2, p-value		165.12, <0.001	39.67, <0.001	207.91, <0.001
Trauma severity (ISS)
Mild (<9 points)	3 (1.7)	0.1	0.2	0.2	1.0b
Moderate (9–15 points)	16 (9.0)	1.0	2.7	1.4	0.07b
Severe (>15 points)	159 (89.3)	22.0	22.5	22.1	0.91
χ2, p-value		469.46, <0.001	120.33, <0.001	594.66, <0.001
GCS
<8 “in coma”	115 (64.6)	25.6	28.9	25.9	0.63
9+ “out of coma”	63 (35.4)	1.8	2.2	1.9	0.42
χ2, p-value		403.67, <0.001	85.79, <0.001	497.80, <0.001
RTS
<3 “no care”	0 (0.0)	0.0	0.0	0.0	–
3–10 “immediate care”	119 (68.0)	22.4	20.0	22.1	0.66
11 “urgent”	19 (10.9)	4.4	2.4	3.9	0.33
12 “can be delayed”	37 (21.1)	1.1	2.1	1.4	0.08
χ2, p-value		367.17, <0.001	55.76, <0.001	434.95, <0.001

Notes:

This figure does not include dead on arrival.

Fisher’s exact test was applied.

Categories are not mutually exclusive.

Abbreviations: ER, emergency room; GCS, Glasgow Comma Scale; ICU, intensive care unit; ISS, Injury Severity Score; KAMC, King Abdulaziz Medical City; MVCs, motor vehicle crashes; RTS, Revised Trauma Score.

In a multivariable regression model, age, severity of injury and mechanism of injury were the significant predictors of inhospital mortality (Table 3). In this model, for every decade increase in age, there was a 17% increase in the risk of inhospital death (RR=1.174; 95% CI 1.139–1.209; p<0.001). Moderate and severe injuries had higher fatality rates than injuries of mild severity (RR=6.438 and 181.780, p<0.001, respectively). Controlling for age, sex and severity of injury, victims of falls and burns/scalds had significantly higher fatality rate compared to those of MVCs (RR=2.337 and 1.728, p<0.001, respectively).

Table 3

Predictors of inhospital mortality among trauma-injured patients

Factor	Case fatality (RR)	95% LCL	95% UCL	p-value
Female vs. male	1.096	0.930	1.292	0.274
Age in 10 years	1.174	1.139	1.209	<0.001
Injury severity
Moderate vs. mild	6.438	4.037	10.267	<0.001
Severe vs. mild	181.780	116.880	282.716	<0.001
Mechanism of injury
Falls vs. MVCs	2.337	1.865	2.929	<0.001
Burn/scald vs. MVCs	1.728	1.433	2.085	<0.001
Intentional vs. MVCs	1.221	0.847	1.759	0.285
Others vs. MVCs	0.282	0.575	1.175	0.511

Abbreviations: LCL, lower confidence limit; MVCs, motor vehicle crashes; RR, rate ratio; UCL, upper confidence limit.

Discussion

In the current study, of 3,786 injured patients admitted to ER during the period of 3 years, the majority were injured by MVCs, accounting for more than one-half of all injuries, followed by falls, accounting for one-fourth of all injuries. Other injuries were due to burn/scald as well as intentional injuries. Inhospital mortality rate in the current study was 4.8%, a figure that is lower than that of the National Center for Technology Planning (NCTP) population (9.5%)20 and that reported by Abbasi et al21 (8.8%), comparable to a figure of 4.2% reported by Tyson et al22 and higher than a figure of 2.5% reported by Sieling et al.23 With regard to the location of death, the majority of deaths occurred in operating room (OR), followed by ICU, then wards and burn unit. These figures are similar to figures of trauma deaths in a Brazilian university hospital.24

Inhospital mortality from trauma is influenced by the cause of injury, age and injury body areas.25–28 In our study, the predictors of inhospital deaths in trauma patients were as follows: age, mechanism of injury and severity. Injuries were more prevalent among young subjects aged 15–45 years, yet the incidence of mortality was the highest in geriatric subjects, where it reached threefold. In our study, controlling for sex, severity and mechanism of injury, age was independently associated with increased fatality, where every 10 years of age resulted in 17% increase in fatality rate. This could be attributed to the presence of comorbidities and post-injury complications,29 which were not measured in our study. However, it has been reported that the presence of multiple comorbidities is not necessarily an indicator of poor outcome.30,31

MVCs were the leading cause of injuries, in our study, being responsible for 52% of all injuries. This figure is five times higher than the global figure of 12% reported by Haagsma et al.3 Underlying reasons leading to such high figures are not clear, but several studies have implicated high speed, driver errors and lack of basic skills for safe driving and lack of law enforcement.32–34 These injuries were significantly higher among males than females, possibly due to their greater exposure of driving and other risk-taking behaviors.35,36 Injuries due to MVCs in our study accounted for two-thirds of inhospital deaths, which is more than double the global figure of 31%,3 but consistent with those of other studies in the region.37–40 The case fatality from MVCs is two-fold to threefold higher in males than in females in developing countries.41 Yet, in our study, there was no sex difference in case fatality from MVCs, in spite of the fact that severity in male patients with MVC-related injuries was higher than in females. This is probably due to the fact that females were older than males.

In our study, falls trail MVCs as the second major mechanism of injury, responsible for one-fourth of all injuries, with the highest rates among younger children and older females. This figure is 57% higher than the global reported figure of 16%. In a previous study,42 men and women were at equal risk of fall-related injuries, irrespective of age groups and regions. However, in our study, the percentage of falls in females was double that of males. It has been reported that mortality rates from fall-related injuries were higher among males in the low- and middle-income countries.43 However, in our study, there was no significant sex difference in mortality rate from these injuries.

Women and young children are at greater risk of domestic burns.42 Burn, in our study, was responsible for only 6.8% of all injuries; yet, it was the cause of 14% of all deaths, with its highest case fatality rate of 9.7%. Burn-related injuries, in our study, were higher among children aged 0–4 years, with no sex difference. Several studies have reported higher mortality rates from burn injuries among females than males.44–49 However, no such sex difference was shown in our study. On the other hand, intentional injuries accounted for 5.1% of all injuries, yet it accounted for only 1.2% of injuries among females with the highest case fatality rate of 22.2%, reflecting the higher severity of intentional injuries among females, as compared to males (p=0.004).

Globally, most traumatic injuries are minor and the most patients are discharged directly from the emergency department.47–50 In the current study, minor injuries constituted one-half of all injuries, while severe injuries constituted 20.1%. Injuries in the current study were significantly more severe among males than females, specifically in MVC-related injuries, and this may explain the significantly higher need, by males, for ambulance transportation, disposition from ER to OR as well as ICU admission. Severity was independently associated with higher rates of inhospital mortality which is consistent with findings from other studies.25–28

In our study, controlling for age, sex, severity of injury, victims of falls and burns/scalds had higher inhospital mortality rates than victims of MVCs. This finding is inconsistent with results reported from other studies.13 This finding is alarming and may highlight potential differences in the care provided to those patients. Our results may be explained by the fact that ISS score does not capture inherent features of fatality induced by different mechanisms of injury in our setting.

Head injuries are one of the most common injuries sustained by patients after MVCs in adults51,52 and children.53,54 Head injuries in our study accounted for 32.2% of all injuries. However, they were the cause of death in 70% of all deaths. This finding was even higher than a figure of 54.4% in Greece,55 which has one of the highest death rates after MVC-related injuries in the European Union.56 Head injuries were significantly higher in males than in females, possibly due to higher rate of MVCs among males. Moreover, in MVCs, women are at a greater risk of injuries to lower extremities due to their smaller stature.57 In our study, head, chest and abdomen injuries were significantly higher among males than among females, but injuries of the extremities showed no sex difference. Female sex was an independent predictor of mortality in isolated severe traumatic brain injury58 due to differential response of nervous system toward this injury.59 However, in our study, case fatality rate in head injuries was not different in males and females, and this finding is in agreement with the findings of others.60 Further studies are necessary to delineate sex-related factors that contribute to these disparities.

Limitations

Our study has some limitations due to its retrospective design. First, the setting of our study is one of the largest referral trauma centers in the KSA, therefore, the observed trauma severity pattern in our study might not reflect the pattern in the whole kingdom. Second, the standard of care provided in this tertiary center might differ from that in other health care settings in Saudi Arabia. Third, we did not have access to information such as time to arrival which is a possible predictor of inhospital mortality. Therefore, our study might not reflect the full spectrum of the inhospital mortality predictors.

Finally, although mortality is an important indicator of the magnitude of the trauma burden, for each death due to injury, many more survivors are left with permanent disabling sequelae. This is especially important given that about 85% of our study population were of mild-to-moderate severity with low mortality rates. We did not have access to long-term outcomes to depict the full picture of the trauma burden. Further studies are needed to look into the long-term outcome of trauma patients especially in these groups.

Conclusion

This study highlights the different patterns of traumatic injuries across age and sex. RTIs are the major contributor to injuries in middle age, while falls dominate the young and old age. Inhospital mortality varies by the pattern of injury with the highest among victims of falls and burns. This suggests the need for a comprehensive national education and prevention programs that address all causes of injuries.

Data sharing statement

Most of the data supporting our findings is contained within the manuscript, and all others, excluding identifying/confidential respondent data will be shared upon request from the corresponding author.