Emergency Medicine International
Volume 2019 (2019), Article ID 5453624, 7 pages
https://doi.org/10.1155/2019/5453624

Research Article

Comparison of Injury Severity Score, Glasgow Coma Scale, and Revised Trauma Score in Predicting the Mortality and Prolonged ICU Stay of Traumatic Young Children: A Cross-Sectional Retrospective Study

Yii-Ting Huang,¹ Ying-Hsien Huang,2,3 Ching-Hua Hsieh,⁴ Chao-Jui Li,¹ and I-Min Chiu1,5

¹Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
²Department of Pediatrics, Chiayi Chang Gung Memorial Hospital, Puzi City, Taiwan
³Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
⁴Department of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University and College of Medicine, Kaohsiung, Taiwan
⁵Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan

Correspondence should be addressed to I-Min Chiu; ray1985@cgmh.org.tw

Received 31 August 2019; Revised 3 October 2019; Accepted 26 October 2019; Published 1 December 2019

Guest Editor: Kee-Chong Ng

Copyright © 2019 Yii-Ting Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Introduction. The purpose of this study was to examine the capacity of commonly used trauma scoring systems such as the Glasgow Coma Scale (GCS), Injury Severity Score (ISS), and Revised Trauma Score (RTS) to predict outcomes in young children with traumatic injuries. Methods. This retrospective study was conducted for the period from 2009 to 2016 in Kaohsiung Chang Gung Memorial Medical Hospital, a level I trauma center. We included all children under the age of 6 years admitted to the hospital via the emergency department with any traumatic injury and compared the trauma scores of GCS, ISS, and RTS on patients’ outcome. The primary outcomes were mortality and prolonged Intensive Care Unit (ICU) stay, with the latter defined as an ICU stay longer than 14 days. The secondary outcome was the hospital length of stay (HLOS). Receiver operating characteristic (ROC) analysis was also adopted with the value of the area under the ROC curve (AUC) for comparing trauma score prediction with patient mortality. Cutoff values from each trauma score for mortality prediction were also measured by determining the point along the ROC curve where Youden’s index was maximum. Results. We included a total of 938 patients in this study, with a mean age of 3.1 ± 1.82 years. The mortality rate was 0.9%, and 93 (9.9%) patients had a prolonged ICU stay. An elevated ISS (34  19.9 vs. 5  5.1, ), lower GCS (8  5.0 vs. 15  1.3, ), and lower RTS (5.58  1.498 vs. 7.64  0.640, ) were all associated with mortality. All three scores were considered to be independent risk factors of mortality and prolonged ICU stay and had a linear correlation with increased HLOS. With regard to predicting mortality, ISS has the highest AUC value (ISS: 0.975; GCS: 0.864; and RTS: 0.899). The prediction cutoff values of ISS, GCS, and RTS on mortality were 15, 11, and 7, respectively. Conclusion. Regarding traumatic injuries in young children, worse ISS, GCS, and RTS were all associated with increased mortality, prolonged ICU stay, and longer hospital LOS. Of these scoring systems, ISS was the best at predicting mortality.

1. Introduction

Trauma is considered a big threat to childhood survival. The National Center for Health Statistics in the United States has indicated that unintentional injury is the leading cause of death and disability in children [1]. Managing pediatric trauma events at the emergency department (ED) is often a challenge because children have less fat and more elastic connective tissue covering a flexible skeleton that protects packed abdominal and thoracic structures [2]. As a result, the impact and causes of trauma can vary considerably among different age groups. The anatomical, physiological, and emotional differences between adults and children imply that children are not just adults on a smaller scale [3].

In the past, most studies related to trauma assessment have investigated pediatric patients with ages ranging from about 0–18 years [4, 5]. Nevertheless, age-based studies focused on younger victims have not been common. Managing traumatic injury in young children is different from adults as children’s compensatory responses to large numbers of blood loss, hypoxia, severe trauma, and burns differ significantly [6]. Furthermore, young patients often do not have enough vocabulary, resulting in limited expression, especially for children under two years of age [7, 8]. Young children also have difficulty in accurately expressing their feelings when a medical history is taken and are often irritated and crying upon arriving at the hospital due to pain or fright. Therefore, trauma scores related to vital signs and physical examinations are more objective and accessible [9]. Obtaining trauma scores earlier allows critical intervention. In this study, we aimed to investigate several commonly used traumatic scores on the outcomes of young children, including mortality, prolonged ICU stay, and hospital length of stay (HLOS).

2. Materials and Methods

2.1. Trauma Scores Selection

Various quantitative scoring systems have been proposed to evaluate trauma severity and outcome, but most of them were not age specific, and each had its own limitations [10–13]. Considering the different physiological structures in younger children, we selected the Injury Severity Score (ISS), which emphasizes anatomic criteria and has been validated to predict prognosis [14]. In previous studies, major trauma in the pediatric category has been defined as an Injury Severity Score greater than 15 [15, 16]. However, few studies have focused on ISS performance in young children [17]. Despite a number of proposed modifications and alternate scoring systems, ISS remains the most widely used to define severely injured patients, which is why we chose it [16, 18, 19].

The Glasgow Coma Scale (GCS) indicates level of consciousness and has always been evaluated upon patient arrival. This scale has been frequently used for decades as blunt head trauma is a common cause of mortality and morbidity in pediatric injuries [20–23]. Since head injury is one of the most common traumatic mechanisms in young children, GCS is also appropriate for our study’s main group.

The Revised Trauma Score (RTS) is used in prehospital practices worldwide, can be obtained immediately, and includes the GCS, systolic blood pressure, and respiratory rate. The formula for calculating RTS is as follows: [24].

2.2. Study Population and Design

This retrospective study was conducted from January 1, 2009, to December 31, 2016, in Kaohsiung Chang Gung Memorial Medical Hospital, a level I trauma center in southern Taiwan. The Institutional Review Board of the Chang Gung Medical Foundation approved the medical information, and all patients’ and physicians’ records and information were anonymized and deidentified prior to analysis (IRB number: 201801721B0). Additional detailed information of all trauma patients was retrieved from the studied institution’s trauma registry system, including age, gender, initial vital signs, cause of injury, different types of trauma severity scores, hospital length of stay (LOS), intensive care unit (ICU) stay, and mortality.

This study consisted of children under the age of 6 years with any type of traumatic injury who were admitted to the hospital via the ED. Patients with a pre-existing medical condition that contributed to the trauma incident and who died in the ED were excluded. We used vital signs and GCSs at triage for scoring, comparing the accuracy of the GCS, ISS, and RTS trauma scores on predicting patients’ outcome. Initial triage and vital signs were obtained by senior and well-trained emergency nurses, and child-version sphygmomanometer was used for young children. ISS was measured by the trauma physicians in charge in the ED.

The primary outcomes were trauma-related mortality during admission and prolonged ICU stay, which was defined as an ICU stay longer than 14 days. Prolonged ICU stay is usually defined as ≥14 days admission in the ICU, which has been considered with resource utilization and patients’ morbidity and mortality [25–29]. The HLOS was considered as the secondary outcome in patients who survived beyond admission. Patients who expired before admission were excluded from prolonged ICU stay and HLOS analysis.

2.3. Statistical Analysis

Trauma scores’ contribution to outcomes including mortality and prolonged ICU stay was analyzed by Student’s t-test and validated using binary regression after adjusting for age, gender, and cause of injury. Linear regression was used to observe the correlation between trauma scores and HLOS.

We further drew the receiver operating characteristic (ROC) curve and calculated the value of the area under the ROC curve (AUC) to compare trauma scores prediction with patient mortality. Cutoff values from each trauma score for mortality prediction were also measured by determining the point along the ROC curve where Youden’s index was maximum [30]. The capability of trauma scores in predicting the mortality and prolonged ICU stay was calculated using the Chi-squared test. All statistical analysis was conducted with SPSS (version 22).

3. Results

This study consisted of a total of 938 patients, with a mean age of 3.1 ± 1.82 years. The overall mortality rate was 0.9%. The rate of ICU stay was 41.7% (), with a mean ICU stay of 10.2 ± 7.83 days. Regarding the cause of trauma, injury from fall, traffic accident, and burn injury accounted for 86.7% of all admitting injuries. The average trauma scores of ISS, GCS, and RTS in the general population were 4.9 ± 6.0, 14.7 ± 1.4, and 7.62 ± 0.68, respectively (Table 1). We excluded 25 patients from RTS and outcome analysis since their initial blood pressure had not been obtained.

Table 1: Epidemiology of trauma patients under the age of six years admitted via the pediatric emergency department.

Variables
Number (%)/mean  SD

Total
938 (100%)

Age (years)
3.1  1.82

BMI
16.6  4.40

Gender
Male
554 (59.1%)

Cause of injury
Injury from fall
329 (35.1%)

Traffic accident
134 (14.3%)

Burn injury
351 (37.4%)

Blunt/crushing injury
71 (7.6%)

Other
53 (5.7%)

Outcome
Mortality
8 (0.9%)

ICU admission
391 (41.7%)

Prolonged ICU stay
93 (9.9%)

Length of ICU stay (days)
10.2  7.83

Length of hospital stay (days)
6.9  7.69

Trauma score
ISS
4.9  6.0

GCS
14.7  1.4

RTS
7.62  0.68

BMI = body mass index; ICU = intensive care unit; ISS = Injury Severity Score; GCS = Glasgow Coma Scale; RTS = Revised Trauma Score.

Table 2 shows the trauma scores between patients of both the mortality and survival groups compared with student’s t-test. The ISS score was statistically higher in the mortality group (34  19.9 vs. 5  5.1, ), while GCS (8  5.0 vs. 15  1.3, ) and RTS (5.58  1.498 vs. 7.64  0.640, ) scores were lower. When comparing different trauma scores with prolonged ICU stay, only RTS demonstrated a significant difference between the two studied groups (7.34  1.019 vs. 7.67  0.577; ) (Table 2).

Table 2: Comparison of trauma scores in different groups of mortality and prolonged ICU stay.

Trauma score
Mortality
Survival
-value
ICU stay  14 days
ICU stay  14 days
-value

Mean  SD
Mean  SD

ISS
34  19.9
5  5.1
0.004
4  5.0
5  5.1
0.237

GCS
8  5.0
15  1.3
0.006
15  1.8
15  1.2
0.415

RTS
5.58  1.498
7.64  0.640
0.006
7.34  1.019
7.67  0.577
0.004

SD = standard deviation; ISS = Injury Severity Score; GCS = Glasgow Coma Scale; RTS = Revised Trauma Score.

As shown in Table 3, the logistic regression regarding trauma scores’ in association with primary and secondary outcomes is displayed. ISS (aOR: 1.17, 95% CI: 1.091–1.225), GCS (aOR: 0.59, 95% CI: 0.492–0.714), and RTS (aOR: 0.19, 95% CI: 0.094–0.373) were all considered to be independent risk factors of mortality and prolonged ICU stay. In addition, younger age and burn injury were also risk factors for prolonged ICU stay. All three trauma scores’ changes had a positive effect on HLOS, and these effects were found to be statistically significant (Table 3).

Table 3: Logistic regression for trauma score to mortality, prolonged ICU stay, and hospital length of stay (after adjusting for age, gender, and cause of injury).

Variables
aOR
95% CI
aOR
95% CI
coefficient
95% CI

Mortality
Prolonged ICU stay
Hospital length of stay

Age
0.983
0.609–1.625
0.809
0.707–0.925
−0.602
−0.849∼−0.355

Male
3.293
0.353–30.594
1.021
0.651–1.602
−0.426
−1.311∼0.459

Injury from fall
1.239
0.188–8.148
0.079
0.029–0.218
−6.099
−7.016∼−5.183

Traffic accident
3.393
0.453–25.155
0.122
0.029–0.516
−1.511
−2.911∼−0.111

Burn injury
0.092
0.001–14.410
18.199
8.931–37.085
8.609
7.701∼9.516

Blunt/crushing injury
—
—
0.526
0.186–1.491
−1.317
−3.049∼0.414

Others
—
—
0.532
0.161–1.752
−1.032
−3.015∼0.952

ISS
1.17
1.091–1.225
1.034
1.004–1.063
0.315
0.224∼0.401

Age
1.164
0.726–1.865
0.818
0.715–0.936
−0.536
−0.792∼−0.280

Male
1.053
0.194–5.727
0.99
0.631–1.552
−0.437
−1.353∼0.479

Injury from fall
0.550
0.084–3.614
0.081
0.029–0.225
−5.497
−6.434∼−4.559

Traffic accident
3.788
0.719–19.949
0.005
0.029–0.525
−0.505
−1.890∼0.879

Burn injury
1.062
0.142–7.939
15.92
8.046–31.500
7.198
6.625∼8.130

Blunt/crushing injury
0
—
0.497
0.174–1.420
−1.682
−3.438∼0.074

Others
0
—
0.526
0.160–1.733
−1.441
−3.451∼0.569

GCS
0.59
0.492–0.714
0.82
0.692–0.970
−0.783
−1.174∼−0.393

Age
1.334
0.857–2.076
0.853
0.744–0.977
−0.406
−0.663∼−0.149

Male
1.134
0.225–5.719
1.041
0.661–1.639
−0.317
−1.222∼0.589

Injury from fall
1.159
0.194–6.922
0.085
0.031–0.234
−5.287
−6.217∼4.356

Traffic accident
8.822
1.662–46.835
0.131
0.031–0.547
−0.357
−1.713∼0.999

Burn injury
0.143
0.019–1.078
12.591
6.675–23.749
6.703
5.775∼7.631

Blunt/crushing injury
0
—
0.531
0.186–1.518
−1.463
−3.196∼0.270

Others
0
—
0.548
0.166–1.812
−1.311
−3.294∼−0.673

RTS
0.19
0.094–0.373
0.69
0.534–0.896
−2.981
−4.209∼−1.752

Figure 1 shows the ROC curves of different trauma scores related to outcomes. Upon calculating the AUC value (Table 4), all trauma scores revealed acceptable prediction ability for mortality (ISS: 0.975, 95% CI: 0.940∼1; GCS: 0.864, 95% CI: 0.682∼1; RTS: 0.899, 95% CI: 0.759∼1) but not for prolonged ICU stay (ISS: 0.502, 95% CI: 0.384∼0.513; GCS: 0.426, 95% CI: 0.447∼0.572; RTS: 0.578, 95% CI: 0.520∼0.653). We further measured the cutoff value for mortality prediction of each trauma score according to the ROC curves, which were found to be 15 for ISS, 11 for GCS, and 7 for RTS.

(a)

(b)

(c)

(d)

Figure 1: ROC curve of trauma scores to mortality and prolonged ICU stay. (a) ISS to mortality. (b) ISS to prolonged ICU stay. (c) GCS and RTS to mortality. (d) GCS and RTS to prolonged ICU stay.

Table 4: AUC value of trauma score to mortality and prolonged ICU stay.

Mortality
Prolonged ICU stay

AUC
Std. error
95% CI
AUC
Std. error
95% CI

ISS
0.975
0.018
0.940∼1
0.448
0.033
0.384∼0.513

GCS
0.864
0.093
0.682∼1
0.509
0.032
0.447∼0.572

RTS
0.899
0.071
0.759∼1
0.587
0.034
0.520∼0.653

The evaluation of each trauma score’s cutoff value regarding mortality is provided in Table 5. Using ISS 15 as the cutoff value for predicting mortality, its positive predictive value (PPV) was 11.1%, while its negative predictive value (NPV) was 99.9% (, OR = 109.25). Meanwhile, GCS 11 had a PPV of 23.1% and NPV of 99.8% for predicting mortality (, OR = 136.50). Finally, using RTS 7 as a predictor for mortality resulted with a PPV of 9.9% and NPV of 99.9% (, OR = 94.72).

Table 5: Association of trauma score’s cutoff value with mortality.

Number
Mortality rate N (%)
-value
Odds ratio

ISS
ISS  15
63
7 (11.1%)
0.001
109.25

ISS  15
875
1 (0.1%)

GCS
GCS  11
26
6 (23.1%)
0.001
136.50

GCS  11
912
2 (0.2%)

RTS
RTS  7
71
7 (9.9%)
0.001
94.72

RTS  7
867
1 (0.1%)

4. Discussion

In this study, we included all patients admitted to the trauma center younger than the age of 6 years, with a mean age of 3.1 years and an overall mortality rate of 0.9%. As in previous studies, the mortality rate of pediatric trauma was approximately 2% [31, 32]. The three most common causes of trauma in this study were, in order, injury from fall, traffic accident, and burn injury. Adegoke et al. reported similar findings, while Derakhshanfar et al. reported traffic accidents to be the most common cause, followed by fall injuries [33–35].

The trauma score systems selected in this study were ISS, GCS, and RTS since their values were easy to obtain and calculate. Furthermore, consciousness level is the main domain of these trauma scores since brain injury is the primary cause of mortality and morbidity in pediatric injuries [36]. The average trauma scores of ISS, GCS, and RTS in our studied population were 4.9, 14.7, and 7.62, respectively. In contrast, the average trauma scores were 34, 8, and 5.58 among patients who died. In previous studies, these trauma scores in survivor and mortality populations have traditionally varied. Yousefzadeh Chabok et al. demonstrated an ISS of 6.5 overall and 17.7 in the mortality group, with GCS scores of 4.7 in the mortality group and 14.6 in the survivor group [32]. Soni et al. showed RTS scores of 7.13 in trauma survivors and 4.39 in nonsurvivors, with ISS scores of 11.68 in the mortality group and 11.87 in the survivor group [37]. In our study, all trauma scores differed with statistical significance between the survivor and mortality groups.

After adjusting for gender, age, and traumatic mechanism using binary regression, lower GCS and RTS levels still appeared to be associated with increased mortality and prolonged ICU stay. Increased ISS scores also have a positive effect on higher mortality and prolonged ICU stay rates, though the latter did not demonstrate statistical difference.

As for secondary outcomes, all three trauma scores demonstrated a linear correlation with hospital length of stay after adjusting for age, gender, and trauma mechanism (Table 4). This result was similar to a previous study in China that showed that increased ISS and decreased RTS were correlated with an increased length of hospital stay [38].

Regarding mortality prediction, ROC curve analysis indicated that all three scoring systems were statistically significant (Table 4). While some previous studies demonstrated that GCS can better predict mortality [32, 39], in our study, although the difference was small, we showed ISS to be the strongest predictor of mortality. However, none of the three trauma scoring systems could predict prolonged ICU stays with significance.

The cutoff values selected from the ROC analysis of ISS, GCS, and RTS were 15, 11, and 7, respectively. A similar cutoff value for ISS was reported in a previous study by Yousefzadeh Chabok et al. [38]. Both the sensitivity and specificity for mortality prediction regarding the selected cutoff values from each trauma score system were high (Table 5). However, all the selected cutoff values had much higher NPV than PPV on mortality prediction, which suggests that the cutoff values of all three trauma score systems were better at predicting survival than mortality.

5. Limitations

This study has certain limitations. This retrospective study was conducted in a single medical center, which may limit the generalizability of the conclusions. All possible confounding factors were unmodifiable, and a cause-and-effect relationship could not be determined. The assessment of trauma scores was performed by different trained medical personnel throughout the study period, which may have led to interpersonal bias.

Furthermore, the overall mortality rate of our study was 0.9% among the 938 patients, which was less than our reference in previous literature, and the accuracy in using trauma scoring systems may differ. Moreover, since the most traumatic mechanism in our study was burn injuries, an ISS may be falsely elevated when a patient has minor burns on various body parts. In contrast, the severity of burn injuries may be underestimated by trauma scoring systems in a patient with severe, widespread cutaneous burns.

Despite these limitations, the results from this study can help distinguish low-risk patients for mortality and prolonged ICU stay from high-risk ones and may improve ED disposition in clinical practice. Very few studies have investigated trauma scoring and prognosis for young children under the age of 7 years. Further research on the association of trauma scores with prognosis in specific types of accidents is needed in the future.

6. Conclusion

In this study, we found that worse trauma scores of ISS, GCS, and RTS were associated with increased mortality, prolonged ICU stays, and HLOS among young children’s injuries. Among these three trauma scores, we found ISS to have the best predictive value. The cutoff values of ISS, GCS, and RTS for predicting mortality were 15, 11, and 7, respectively.

Data Availability

Raw data were generated at Chang Gung Memorial Medical Hospital. Derived data supporting the findings of this study are available from the corresponding author on request.

Conflicts of Interest

The authors hereby declare that they have no conflicts of interest in relation to this article.

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