Literature DB >> 31366660

Association between the Japan Coma Scale scores at the scene of injury and in-hospital outcomes in trauma patients: an analysis from the nationwide trauma database in Japan.

Yohei Okada1,2,3, Takeyuki Kiguchi2, Ryoji Iiduka3, Wataru Ishii3, Taku Iwami2, Kaoru Koike4.   

Abstract

OBJECTIVE: Japan Coma Scale (JCS) is a grading system used to evaluate disturbed consciousness in prehospital care settings. We aimed to identify the association between the JCS levels at the scene with in-hospital mortality, as well as the discrimination ability for the outcomes.
DESIGN: A retrospective cohort study based on the nationwide trauma database in Japan.
SETTING: Multicentre cohort study using data from the Japan Trauma Data Bank, which is a nationwide, prospective, observational trauma registry derived from 235 hospitals. PARTICIPANTS: Adult trauma victims transferred directly from the scene of injury to the hospital from January 2004 to December 2017 were eligible for inclusion. PRIMARY AND SECONDARY OUTCOMES: Primary outcome was the association between the JCS levels at the scene with in-hospital mortality. We conducted a multivariate logistic regression analysis to calculate the adjusted ORs of JCS levels with 95% CIs for in-hospital mortality. We also calculated the c-statistics for in-hospital mortality.
RESULTS: 164 723 patients were included in the analysis. In a multivariate logistic regression analysis, the corresponding adjusted ORs of JCS levels 2 and 3 referred to level 1 for in-hospital mortality were 4.1 (95% CI 3.8 to 4.4) and 26.0 (95% CI 24.8 to 27.2). The c-statistics of the JCS level for in-hospital mortality was 0.845 (95% CI 0.842 to 0.849).
CONCLUSIONS: Data from large multicentre prospective registry revealed strong associations of the JCS level at the scene of injury with in-hospital mortality as well as the good discriminatory performance for this outcome. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  JCS; JPTEC; injury; prehospital

Year:  2019        PMID: 31366660      PMCID: PMC6677991          DOI: 10.1136/bmjopen-2019-029706

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first study to evaluate the association between the Japan Coma Scale (JCS) on the scene and in-hospital outcomes among trauma patients listed in a Japanese nationwide database. Our sensitivity analysis indicated the robustness of the association between JCS and in-hospital mortality, despite the risk of a selection bias due to missing data values. Although the JCS measurement is a fundamental skill required for government-certified paramedics, the accuracy and inter-rater reliability of this scale might be subject to measurement bias.

Introduction

Background

Trauma is a leading cause of death and disability across all ages worldwide.1 The rapid provision of field triage and emergency care by paramedics and rapid transport of patients from the scene of injury to a hospital can save lives, reduce the incidence of short-term disability and dramatically improve patients’ long-term outcomes.2 3 An immediate assessment of the trauma victim’s level of consciousness is necessary during field triage.3 Although the Glasgow Coma Scale (GCS) is the most widely used instrument for such assessments by paramedics in the field and other medical professionals in various settings,3 this scale has been criticised for its complexity, and therefore it may not be practical for rapid and reliable assessments in prehospital settings.4 Accordingly, a more rapid and simple assessment tool is needed. The Japan Coma Scale (JCS), a grading system to evaluate disturbed consciousness, was first published in 19745–7 and has since been certified as a standard field tool assessing the level of consciousness by the Japan Fire and Disaster Management Agency. The JCS is used to classify a patient’s level of consciousness into one of three categories determined by reactive eye-opening: level 1 indicates spontaneous eye-opening, level 2 indicates eye-opening in response to a verbal or pain stimulus and level 3 indicates no eye-opening (table 1).
Table 1

Description of the JCS

JCS levelDescription
Level 1 digitEye-opening spontaneously
Level 2 digitsEye-opening to verbal or pain stimuli
Level 3 digitsNo eye-opening to any stimuli

JCS, Japan Coma Scale.

Description of the JCS JCS, Japan Coma Scale.

Objectives

Currently, the JCS is used by paramedics in prehospital trauma care settings nationwide, and an association of this standard scale of consciousness with the prognosis of patients with stroke has been reported.7 8 However, little is known about the diagnostic ability of JCS for the assessment of trauma victims at scenes of injury. We aimed to identify the association between the JCS levels at the scene and in-hospital mortality, as well as JCS’s discrimination ability for the studied outcomes.

Methods

We have reported the methodology of this study according to the Strengthening the Reporting of Observational Studies in Epidemiology statement.9

Study design and setting

The included data were obtained from the Japan Trauma Data Bank (JTDB) data set 2018, which contains information from 235 hospitals across Japan, from January 2004 to December 2017. The JTDB is a nationwide, multicentre, prospective, observational trauma registry established in 2003 by the Trauma Registry Committee of the Japanese Association for the Surgery of Trauma and the Committee for Clinical Care Evaluation of the Japanese Association for Acute Care Medicine,10 and managed by the Japan Trauma Care and Research (JTCR), which is a non-profit organisation for trauma research. This registry was developed to improve the quality of trauma care by collecting prehospital information, clinical information during hospital stays, trauma diagnoses according to the Abbreviated Injury Scale (AIS), Injury Severity Score (ISS) and mortality outcomes.11 The data are compiled by administrators based on in-hospital charts and prehospital records, which are routinely submitted by paramedics to the hospitals. Nearly all institutions participating in the JTDB are government-certified tertiary emergency and critical care centres.10–12 Details of JTDB have been described previously.10–12 The anonymised data of JTDB were available for the institutional members of JTCR for the research, and we obtained it from the JTCR. The ethics committee of each institution and the Japanese Association for the Surgery of Trauma approved participation in the JTDB; they also approved retrospective analyses using anonymised data from the JTDB.

Study participants

Adult trauma victims who were transferred directly from the scene of injury to the hospital and registered in the JTDB 2018 data set from January 2004 to December 2017 were considered eligible for inclusion. From the full JTDB 2018 data set, we excluded patients younger than 16 years and those who developed cardiac arrest (predefined as a heart rate of 0 and systolic blood pressure (SBP) of 0) at the scene of injury. We also excluded patients for whom the main mechanism of injury was a burn or unknown and those who were not transferred directly from the scene by ambulance with paramedics (ex. transferred by the helicopter with physician, transferred from another hospital or transferred without paramedics). Moreover, we also excluded patients with the missing information of prehospital JCS and in-hospital mortality.

Data collection, variables and potential bias

We collected and described the following clinical information from the JTDB 2018 data set: age, sex, type of injury (blunt or penetrating), vital signs at the scene as measured by paramedics (JCS, SBP and respiratory rate (RR)), GCS on arrival at the hospital, in-hospital mortality, AIS of the head and ISS. Patients were stratified by age into the following groups: <40, 40–49, 50–59, 60–69, 70–79 and ≥80 years. They were additionally categorised by vital signs as follows: JCS, level 1, 2 and 3 digits; SBP, <90, 90–139, 140–199 and ≥200 mm Hg; RR, <10, 10–29 and ≥30 (bpm), based on the Japan Fire and Disaster Management Agency protocol for determining priority at the scene. Missing covariates were categorised as ‘Unknown’. The AIS is an anatomically based, consensus-derived and globally accepted severity scoring system used to classify individual injuries by body region (eg, region 1: head, 2: face, 3: neck, 4: thorax) and subsequently by relative severity on a 6-point scale (1, minor to 6, maximal).13 14 Generally, an AIS score ≥3 is considered a serious or more severe injury.13 The ISS is another globally accepted trauma severity scale associated with mortality. ISS scores are calculated using the AIS and range from 1 to 75; here, a score of ≥16 is generally considered to indicate major trauma or polytrauma.13 The primary study outcome was in-hospital mortality, and the secondary outcomes were coma (GCS ≤8) on arrival at the hospital, a severe head injury (Head AIS ≥3) and severe multiple trauma (ISS ≥16). Some patients who lacked exposure and primary outcome data were excluded from the main analysis, which might have introduced selection bias. Therefore, we performed a sensitivity analysis to address the missing JCS and in-hospital mortality data as described in the next paragraph. When JCS was published in 1974, the state of ‘completely awake and alert’ was not included in the JCS.5–7 In a strict sense, the JCS level 1 originally indicated spontaneous eye-opening, but not completely awake and alert. However, in recent decades, completely awake and alert patients have been described conventionally as ‘Level 0’ and have been treated generally within level 1. Thus, in our study the JCS ‘0’ in the JTDB, and it was combined with JCS level 1 patients.

Patient and public involvement

As the study was conducted based on secondary data, patients and/or the public were not involved. Ethical consideration was described as in the Study Design and Setting section.

Statistical methods

We describe the patients’ characteristics and the distribution of the GCS score on arrival at the hospital at each JCS level. To identify the associations between the prehospital JCS levels with the primary and secondary outcomes, we set the JCS level as the explanatory variable and each outcome as an objective variable. Subsequently, we conducted a logistic regression analysis to generate crude ORs of the JCS levels with 95% CIs. For potential confounders, we designated the covariates of age, sex, type of injury, SBP and RR at the scene which were categorised as above, and conducted a multivariable logistic regression analysis to calculate the adjusted ORs of JCS levels with 95% CIs. To evaluate the discriminatory performance of the JCS, we calculated the JCS c-statistics for the primary and secondary outcomes. Additionally, we performed a sensitivity analysis to demonstrate the robustness of the primary outcome results and compensate for the risk of selection bias due to the exclusion of the patients with missing JCS and mortality data. We assumed three scenarios of missing data: (1) missing at random; (2) missing because of high JCS level or similar and death or a minor injury and survival; and (3) the most conservative scenario against the assumed association. In assumption 1, the missing data were assumed to have been distributed as observed for eligible patients, and we used random imputation to compensate for the missing data using this distribution. In assumption 2, either all missing JCS data were imputed as level 1 and all missing outcomes were recorded as survival (assumption 2a), or all were imputed as level 3 and death, respectively (assumption 2b). In assumption 3, all missing data were imputed as level 3 and survival (assumption 3a) or as level 1 and death (assumption 3b). We analysed the primary outcome under each assumption. We did not calculate a precise sample size because our analysis was secondary usage of already available data. However, based on the rule of 10 events per variable,15 we needed to include 160–200 events at least to be able to adjust the covariates designated in our analysis. The prevalence of the events (in-hospital mortality) was estimated at 10% according to the previous studies.10 11 From this, we expected 1600–2000 cases to be a large enough sample size to calculate the point estimates with CIs sufficiently narrow to answer the research question. All statistical results were calculated as point estimates with 95% CIs. All statistical analyses were performed using JMP Pro V.14 software (SAS Institute, Cary, NC, USA).

Results

Patient characteristics

Among the 294 274 patients in the JTDB 2018, we excluded 19 318 non-adult patients (<16 years or age unknown), 4164 patients who developed cardiac arrest at the scene of injury, 14 444 patients with burn injuries or injuries of unknown mechanism and 70 313 patients who were not directly transferred from the scene by ambulance. We also excluded 33 459 patients with missing JCS (n=20 687) or mortality data (n=14 773). Finally, 164 723 patients were included in the analysis (figure 1).
Figure 1

Flow chart of patient selection for the study. JCS, Japan Coma Scale; JTDB, Japan Trauma Data Bank.

Flow chart of patient selection for the study. JCS, Japan Coma Scale; JTDB, Japan Trauma Data Bank. The patient’s characteristics are described in table 2. For the distribution between JCS at the scene and GCS on arrival at hospital, almost all JCS level 1 patients had a GCS of 14–15 on arrival at the hospital (83.4%, 105 017/25 298), while most JCS level 3 patients had a GCS ≤8 (78.9%, 19 112/25 298) (online supplementary file).
Table 2

Characteristics and prehospital information of the study participants

ParametersTotalJCS level 1 digitJCS level 2 digitsJCS level 3 digits
Male, n (%)104 950 (63.7)78 187 (62.1)9254 (68.2)17 509 (69.2)
Age, median (IQR)61 (39–76)62 (41–78)55 (34–71)58 (37–73)
 <40 years old, n (%)41 218 (25.0)29 852 (23.7)4177 (30.8)7189 (28.4)
 40–4917 827 (10.8)13 259 (10.5)1652 (12.2)2916 (11.5)
 50–5919 256 (11.7)14 466 (11.5)1724 (12.7)3066 (12.1)
 60–6926 299 (16.0)19 679 (15.6)2228 (16.4)4392 (17.4)
 70–7928 063 (17.0)21 627 (17.2)2074 (15.3)4362 (17.2)
 ≥8032 060 (19.5)26 981 (21.4)1706 (12.6)3373 (13.3)
Type of injury, n (%)
 Blunt158 113 (96.0)120 923 (96.1)12 720 (93.8)24 470 (96.7)
 Penetrating6610 (4.0)4941 (3.9)841 (6.2)828 (3.3)
RR, median (IQR)20 (18–24)20 (18–24)23 (18–25)21 (18–26)
 ≤9, n (%)1261 (0.8)85 (0.1)15 (0.1)1161 (4.6)
 10–29123 254 (74.8)100 425 (79.8)9741 (71.8)13 088 (51.7)
 ≥3018 548 (11.3)12 202 (9.7)2410 (17.8)3936 (15.6)
 Unknown5857 (3.6)13 152 (10.5)1395 (10.3)7113 (28.1)
SBP, median (IQR)136 (115–159)138 (118–160)128 (106–150)132 (108–160)
 ≥200, n (%)5858 (3.6)4336 (3.4)407 (3.0)1115 (4.4)
 140–19963 191 (38.4)53 115 (42.2)4133 (30.5)5943 (23.5)
 90–13970 914 (43.1)57 241 (45.5)6281 (46.3)7392 (29.2)
 <908655 (5.3)5499 (4.4)14 00 0 (10.3)1756 (6.9)
 Unknown16 105 (9.8)5673 (4.5)1340 (9.9)9092 (35.9)

bpm, breaths per minute; JCS, Japan Coma Scale; RR, respiratory rate (bpm); SBP, systolic blood pressure (mm Hg).

Characteristics and prehospital information of the study participants bpm, breaths per minute; JCS, Japan Coma Scale; RR, respiratory rate (bpm); SBP, systolic blood pressure (mm Hg).

Outcome

The overall in-hospital mortality (primary outcome) was 10.9% (n=17 957). The distribution of primary and secondary outcomes by each JCS level is described (tables 2 and 3). Notably, a univariate logistic regression analysis of the associations of JCS levels with in-hospital mortality yielded crude ORs of 4.2 (95% CI 3.9 to 4.5) and 36.7 (95% CI 35.2 to 38.3) for levels 2 and 3, respectively, relative to level 1 (reference) (table 4). In a multivariate logistic regression analysis, the corresponding adjusted ORs were 4.1 (95% CI 3.8 to 4.4) and 26.0 (95% CI 24.8 to 27.2), respectively (table 4). Furthermore, the adjusted ORs of the JCS levels 2 and 3 compared with level 1 for the secondary outcomes as below: coma on arrival (GCS ≤8) (adjusted ORs: 11.6 (95% CI 10.8 to 12.5) and 207.6 (95% CI 195.5 to 220.4)), severe head injury (Head AIS ≥3) (adjusted ORs: 5.0 (95% CI 4.8 to 5.2) and 13.4 (95% CI 12.9 to 13.9)) and severe multiple trauma (ISS ≥16) (adjusted ORs: 3.0 (95% CI 2.9 to 3.1) and 8.9 (95% CI 8.6 to 9.3)), respectively (tables 3 and 4). The adjusted ORs of the other parameters (injury type, age, sex, SBP, RR) were described in another part (online supplementary file).
Table 4

Analysis of the associations between the JCS levels with outcomes

VariablesCrude OR (95% CI)Adjusted OR (95% CI)
Primary outcome
OR for in-hospital mortality
JCS
 Level 1 digit(Reference)(Reference)
 Level 2 digits4.2 (3.9 to 4.5)4.1 (3.8 to 4.4)
 Level 3 digits36.7 (35.2 to 38.3)26.0 (24.8 to 27.2)
Secondary outcomes
OR for coma on arrival at hospital (GCS ≤8)
JCS
 Level 1 digit(Reference)(Reference)
 Level 2 digits12.3 (11.5 to 13.2)11.6 (10.8 to 12.5)
 Level 3 digits268.3 (253.2 to 284.3)207.6 (195.5 to 220.4)
OR for severe head injury (Head AIS ≥3)
JCS
 Level 1 digit(Reference)(Reference)
 Level 2 digits4.0 (3.8 to 4.1)5.0 (4.8 to 5.2)
 Level 3 digits9.0 (8.7 to 9.3)13.4 (12.9 to 13.9)
OR for severe multiple trauma (ISS ≥16)
 Level 1 digit(Reference)(Reference)
 Level 2 digits3.2 (3.1 to 3.3)3.0 (2.9 to 3.1)
 Level 3 digits10.7 (10.3 to 11.1)8.9 (8.6 to 9.3)

Adjusted for age, sex, type of injury, and respiratory rate and systolic blood pressure.

AIS, Abbreviated Injury Scale; GCS, Glasgow Coma Scale; ISS, Injury Severity Score; JCS, Japan Coma Scale.

In-hospital information and outcomes of the study participants The number of missing GCS on arrival, Head AIS and ISS was 9910 (6.0%), 3517 (2.1%) and 3857 (2.3%), respectively. Time to hospital arrival denotes time from emergency call to hospital arrival. AIS, Abbreviated Injury Scale; ER, emergency room; GCS, Glasgow Coma Scale; ICU, intensive care unit; ISS, Injury Severity Score; JCS, Japan Coma Scale. Analysis of the associations between the JCS levels with outcomes Adjusted for age, sex, type of injury, and respiratory rate and systolic blood pressure. AIS, Abbreviated Injury Scale; GCS, Glasgow Coma Scale; ISS, Injury Severity Score; JCS, Japan Coma Scale.

Diagnostic ability

The c-statistics of the JCS level for in-hospital mortality was 0.845 (95% CI 0.842 to 0.849). The c-statistics of the JCS level for secondary outcomes were as follows: coma on arrival (GCS ≤8): 0.937 (95% CI 0.935 to 0.939), severe head injury (Head AIS ≥3): 0.685 (95% CI 0.682 to 0.687) and severe multiple trauma (ISS ≥16): 0.661 (95% CI 0.659 to 0.663). Accordingly, the JCS appeared to exhibit good discriminatory performance for mortality and coma on arrival at the hospital.

Sensitivity analysis

In assumption 1, adjusted ORs of the JCS levels were as below: 2.7 (95% CI 2.6 to 2.9) and 14.0 (95% CI 13.5 to 14.5) for levels 2 and 3, respectively, relative to level 1. In all other assumptions, the JCS was also independently associated with in-hospital mortality (online supplementary file). These results demonstrate the robustness of this association, despite the missing values.

Discussion

Key observations

To the best of our knowledge, this is the first study to evaluate the association between the prehospital JCS levels and in-hospital outcomes among trauma patients listed in a Japanese nationwide database. Notably, we demonstrated that the JCS level measured by paramedics on the scene correlated with in-hospital mortality, coma on arrival at hospital, severe head injury and severe multiple trauma. Furthermore, we showed that the prehospital JCS could clearly discriminate between coma on arrival at the hospital and in-hospital mortality.

Interpretation and clinical implications

Similar to our results, a previous report on the JCS and outcome among patients with stroke revealed a trend that as the JCS level increased, mortality increased, and functional outcomes worsened.7 8 According to the previous report and our results, it might be reasonably expected that the JCS on the scene could reflect the extent of neurological impairment and the severity of injury, as well as predict in-hospital mortality. As noted above, the JCS was originally developed in Japan in 1974, concomitantly with the publication of the GCS.7 Although the JCS has since been used by paramedics throughout Japan as a standard scale of consciousness in prehospital trauma care, there is no literature to verify the clinical meanings of JCS among trauma patients. This study could be useful to paramedics using JCS by promoting the understanding of JCS and predicting the severity and mortality easily in the prehospital settings. JCS is expected to have a different role from GCS in prehospital care. JCS consists of only one evaluation item (eye-opening in response to stimuli); thus, it has some strength with respect to its simplicity and rapidity. According to the protocol of Japanese standards for prehospital evaluation and care paramedics should triage the trauma patients at the scene of accident within the first 15 s to evaluate the JCS level while simultaneously conducting initial assessments of the airway, respiration and circulation.16 After a systemic physical assessment to identify life-threatening injuries, the paramedics determine the priority and destination hospital within 2 min of arrival at the scene. If the patients were assessed as JCS level 3, the protocol recommend to transport the patients to the tertiary critical care centre.16 Therefore, in this setting, the severity of the patient’s condition can be approximately and quickly evaluated and can be conveyed using only a single phrase, such as ‘Level 3,’ at the scene of the accident.7 Moreover, people who lack sufficient knowledge and experience may find interpreting the more complex GCS difficult,17–19 whereas the simpler JCS may be more comprehensible by non-medical staff members. Therefore, we thought that the JCS might be beneficial in simplicity and rapidity for a field triage. Similar to the JCS, the simplified GCS has been suggested as an appropriate tool to assess the consciousness for field triage (eg, the motor component of the GCS (mGCS), simplified motor scale).3 The systematic review reported that these scales have good discrimination ability for in-hospital mortality (pooled area under the receiver operating characteristic curve (AUROC): 0.855 (95% CI 0.822 to 0.888) in mGCS, 0.840 (95% CI 0.802 to 0.878) in simplified motor scale, as well as total score of GCS (pooled AUROC: 0.877 (95% CI 0.847 to 0.906)).3 Our results (JCS level for in-hospital mortality 0.845 (95% CI 0.842 to 0.849)) were comparable to other scales, and it was expected to be useful in clinical settings as well as mGCS and simplified motor scale. Further research is needed to compare these scales. While JCS has some advantages, it also has some limitations. As the other coma scale such as GCS might be incorrectly scored in some patients (eg, in the setting of intoxication),20 the JCS likely has the same caveats of measurement. In addition, although our study indicated that the JCS level 3 was associated with the severe head injury, it is not equivalent with a diagnosis of severe head injury. Unconsciousness can occur due to systemic insults, electrolyte abnormalities, intoxication, baseline psychiatric comorbidities and other causes. Moreover, in our study, the c-statistics for the Head AIS ≥3, and ISS ≥16 were lower than that of in-hospital mortality; thus, JCS might not be a suitable instrument to discriminate the anatomical severity of the injury. One possible explanation was that Head AIS ≥3, and ISS ≥16 represent only anatomical severity in trauma. As these items do not include physiological aspects, many patients without disturbance of consciousness might have been included in Head AIS ≥3, and ISS ≥16. For example, although skull base fracture is coded as Head AIS: 3 it might not affect patients’ consciousness or prognosis. Therefore, for the JCS to be clinically useful, we should understand the pathological process that may affect the eye-opening.

Generalisability, strengths and limitations

Because our data were derived from a nationwide trauma database, we believe that our findings can be generalised throughout Japan and possibly to other developed countries. Moreover, our sensitivity analysis indicated the robustness of the association between JCS and in-hospital mortality, despite the risk of a selection bias due to missing data values. These strengths notwithstanding, our study also had several limitations. First, few cases of penetrating injury were included, and thus the generalisability of our findings to penetrating injury cases remains unclear. Second, although the JCS measurement is a fundamental skill required for government-certified paramedics, the accuracy and inter-rater reliability of this scale might be subject to measurement bias. Third, we could not compare the clinical usefulness and accuracy of the JCS with other consciousness scales such as the simplified GCS.4 Fourth, mortality among trauma patients depends on many factors, and a wide range of pathologies. The JTDB did not include the detail of clinical course or the cause of mortality. These items should be considered to improve the understanding and how results are adopted in clinical settings. Further research is needed to evaluate the clinical usefulness and accuracy of the JCS relative to other consciousness scales.

Conclusions

Data from large multicentre prospective registry study have revealed strong correlations of the JCS level at the scene of injury with in-hospital mortality and trauma severity. Furthermore, we demonstrated that the JCS had good discrimination abilities for both coma on arrival at hospital and in-hospital mortality.
Table 3

In-hospital information and outcomes of the study participants

ParametersTotalJCS level 1 digitJCS level 2 digitsJCS level 3 digits
(n=164 723)%(n=125 864)%(n=13 561)%(n=25 298)%
In-hospital Information
 Time to hospital arrival (min), median (IQR)37 (29–50)38 (30–51)37 (29–50)33 (26–44)
 Tracheal intubations24 280 (14.7)6894 (5.5)2906 (21.4)14 480 (57.2)
 Neurosurgical interventions4831 (2.9)1310 (1.0)734 (5.4)2787 (11.0)
 Head CT119 952 (72.8)87 026 (69.1)12 320 (90.8)20 606 (81.5)
 ICU admission100 136 (60.8)71 212 (56.6)10 988 (81.0)17 936 (70.9)
 Mortality in ER or operation room5848 (3.6)456 (0.4)231 (1.7)5161 (20.4)
 Length of hospital stay (day), median (IQR)14 (0–62)17 (0–64)18 (0–71)1 (0–42)
Primary outcome
 In-hospital mortality17 957 (10.9)3513 (2.8)1459 (10.8)12 985 (51.3)
Secondary outcomes
 GCS ≤822 634 (13.7)1615 (1.3)1907 (14.1)19 112 (75.5)
 Head AIS ≤352 197 (31.7)27 121 (21.5)7072 (52.1)18 004 (71.2)
 ISS ≥1670 262 (42.7)41 597 (33.1)8231 (60.7)20 434 (80.8)

The number of missing GCS on arrival, Head AIS and ISS was 9910 (6.0%), 3517 (2.1%) and 3857 (2.3%), respectively.

Time to hospital arrival denotes time from emergency call to hospital arrival.

AIS, Abbreviated Injury Scale; ER, emergency room; GCS, Glasgow Coma Scale; ICU, intensive care unit; ISS, Injury Severity Score; JCS, Japan Coma Scale.

  17 in total

1.  Guidelines for the Management of Severe Head Injury, 2nd Edition guidelines from the Guidelines Committee on the Management of Severe Head Injury, the Japan Society of Neurotraumatology.

Authors:  Minoru Shigemori; Toshiaki Abe; Tohru Aruga; Takeki Ogawa; Hiroshi Okudera; Junichi Ono; Takehide Onuma; Yoichi Katayama; Nobuyuki Kawai; Tatsuro Kawamata; Eiji Kohmura; Toshisuke Sakaki; Tetsuya Sakamoto; Tatsuya Sasaki; Akira Sato; Toshiyuki Shiogai; Katsuji Shima; Kazuo Sugiura; Yoshio Takasato; Takashi Tokutomi; Hiroki Tomita; Izumi Toyoda; Seigo Nagao; Hiroshi Nakamura; Young-soo Park; Mitsunori Matsumae; Tamotsu Miki; Yasushi Miyake; Hisayuki Murai; Shigeyuki Murakami; Akira Yamaura; Tarumi Yamaki; Kazuo Yamada; Toshiki Yoshimine
Journal:  Neurol Med Chir (Tokyo)       Date:  2012       Impact factor: 1.742

2.  Trauma systems in Japan: history, present status and future perspectives.

Authors:  Kunihiro Mashiko
Journal:  J Nippon Med Sch       Date:  2005-08       Impact factor: 0.920

3.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Ann Intern Med       Date:  2007-10-16       Impact factor: 25.391

4.  Assessment of Progress in Early Trauma Care in Japan over the Past Decade: Achievements and Areas for Future Improvement.

Authors:  Akira Endo; Atsushi Shiraishi; Hiroki Matsui; Kenichi Hondo; Yasuhiro Otomo
Journal:  J Am Coll Surg       Date:  2016-11-04       Impact factor: 6.113

5.  Comparisons of the Outcome Prediction Performance of Injury Severity Scoring Tools Using the Abbreviated Injury Scale 90 Update 98 (AIS 98) and 2005 Update 2008 (AIS 2008).

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Ann Adv Automot Med       Date:  2011

6.  Validation of the Simplified Motor Score in the out-of-hospital setting for the prediction of outcomes after traumatic brain injury.

Authors:  David O Thompson; Timothy R Hurtado; Michael M Liao; Richard L Byyny; Craig Gravitz; Jason S Haukoos
Journal:  Ann Emerg Med       Date:  2011-07-30       Impact factor: 5.721

Review 7.  Trauma scoring systems and databases.

Authors:  F Lecky; M Woodford; A Edwards; O Bouamra; T Coats
Journal:  Br J Anaesth       Date:  2014-08       Impact factor: 9.166

8.  Nizofenone administration in the acute stage following subarachnoid hemorrhage. Results of a multi-center controlled double-blind clinical study.

Authors:  T Ohta; H Kikuchi; K Hashi; Y Kudo
Journal:  J Neurosurg       Date:  1986-03       Impact factor: 5.115

9.  Assessing Nurses Knowledge of Glasgow Coma Scale in Emergency and Outpatient Department.

Authors:  Harvinderjit Kaur A/P Basauhra Singh; Mei Chan Chong; Hari Chandran A/L Thambinayagam; Mohd Idzwan Bin Zakaria; Siew Ting Cheng; Li Yoong Tang; Nurul Hafizan Azahar
Journal:  Nurs Res Pract       Date:  2016-12-01

10.  The eye response test alone is sufficient to predict stroke outcome--reintroduction of Japan Coma Scale: a cohort study.

Authors:  Kazuo Shigematsu; Hiromi Nakano; Yoshiyuki Watanabe
Journal:  BMJ Open       Date:  2013-04-29       Impact factor: 2.692

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  11 in total

1.  The Association Between D-dimer Levels and Long-Term Neurological Outcomes of Patients with Traumatic Brain Injury: An Analysis of a Nationwide Observational Neurotrauma Database in Japan.

Authors:  Gaku Fujiwara; Yohei Okada; Takehiko Sakakibara; Tarumi Yamaki; Naoya Hashimoto
Journal:  Neurocrit Care       Date:  2021-08-30       Impact factor: 3.210

2.  Association of body temperature with in-hospital mortality among paediatric trauma patients: an analysis of a nationwide observational trauma database in Japan.

Authors:  Asami Okada; Yohei Okada; Hiromichi Narumiya; Wataru Ishii; Tetsuhisa Kitamura; Toshio Osamura; Ryoji Iiduka
Journal:  BMJ Open       Date:  2020-11-09       Impact factor: 2.692

3.  Relationship between tracheal intubation and the drugs used by patients with drug overdose due to self-harm.

Authors:  Kazuki Nagashima; Hiroyuki Hosono; Machiko Watanabe
Journal:  J Pharm Health Care Sci       Date:  2022-01-03

4.  Clinical relevance of impaired consciousness in accidental hypothermia: a Japanese multicenter retrospective study.

Authors:  Masahiro Fukuda; Masahiro Nozawa; Yohei Okada; Sachiko Morita; Naoki Ehara; Nobuhiro Miyamae; Takaaki Jo; Yasuyuki Sumida; Nobunaga Okada; Makoto Watanabe; Ayumu Tsuruoka; Yoshihiro Fujimoto; Yoshiki Okumura; Tetsuhisa Kitamura; Tasuku Matsuyama
Journal:  Acute Med Surg       Date:  2022-02-11

5.  The Usefulness of Physician-Staffed Helicopters for Managing Severe Abdominal Trauma Patients.

Authors:  Kei Jitsuiki; Hiroki Nagasawa; Ken-Ichi Muramatsu; Ikuto Takeuchi; Hiromichi Ohsaka; Kouhei Ishikawa; Youichi Yanagawa
Journal:  J Emerg Trauma Shock       Date:  2022-04-04

6.  Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study.

Authors:  Shingo Ito; Hideki Asai; Yasuyuki Kawai; Shunji Suto; Sachiko Ohta; Hidetada Fukushima
Journal:  BMC Emerg Med       Date:  2022-09-15

7.  Effect of decreased tongue pressure on dysphagia and survival rate in elderly people requiring long-term care.

Authors:  Yuki Sakamoto; Gohei Oyama; Masahiro Umeda; Madoka Funahara; Sakiko Soutome; Wataru Nakamura; Yuka Kojima; Hiroshi Iwai
Journal:  J Dent Sci       Date:  2021-10-07       Impact factor: 3.719

8.  The associations of the number of medications and the use of anticholinergics with recovery from tubal feeding: a longitudinal hospital-based study.

Authors:  Keiji Takata; Kentaro Oniki; Yuki Tateyama; Hiroki Yasuda; Miu Yokota; Sae Yamauchi; Norio Sugawara; Norio Yasui-Furukori; Junji Saruwatari
Journal:  BMC Geriatr       Date:  2020-09-29       Impact factor: 3.921

9.  Impact of rehabilitation start time on functional outcomes after stroke.

Authors:  Satoshi Otokita; Hironori Uematsu; Susumu Kunisawa; Noriko Sasaki; Kiyohide Fushimi; Yuichi Imanaka
Journal:  J Rehabil Med       Date:  2021-01-13       Impact factor: 2.912

10.  The effect of prehospital intravenous access in traumatic shock: a Japanese nationwide cohort study.

Authors:  Hiroki Nagasawa; Keita Shibahashi; Kazuhiko Omori; Youichi Yanagawa
Journal:  Acute Med Surg       Date:  2021-07-18
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