Article Text

Validation of the Japan Coma Scale for the prediction of mortality in children: analysis of a nationwide trauma database
  1. Yuki Enomoto1,2,
  2. Yusuke Tsutsumi2,
  3. Asuka Tsuchiya3,4,
  4. Takahiro Kido5,
  5. Koji Ishigami2,
  6. Masahito Togo2,
  7. Susumu Yasuda2 and
  8. Yoshiaki Inoue1
  1. 1Department of Emergency and Critical Care Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
  2. 2Department of Emergency and Critical Care Medicine, Mito Medical Center, Mito, Ibaraki, Japan
  3. 3Department of Emergency and Critical Care Medicine, Tokai University School of Medicine Graduate School of Medicine, Isehara, Kanagawa, Japan
  4. 4Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
  5. 5Department of Pediatrics, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
  1. Correspondence to Dr Yuki Enomoto; enomoto-y{at}md.tsukuba.ac.jp

Abstract

Objective The Japan Coma Scale (JCS) is widely used in clinical practice to evaluate levels of consciousness in Japan. There have been several studies on the usefulness of JCS in adults. However, its usefulness in evaluating children has not been reported. Therefore, this study aimed to assess the usefulness of the JCS for the prediction of mortality in children.

Methods This is a multicenter cohort study which used data from a national trauma registry (Japan Trauma Data Bank). This study included patients under 16 years of age who were treated between 2004 and 2015.

The primary outcome measure was in-hospital mortality. Two models were used to examine each item of the Glasgow Coma Scale (GCS) and the JCS. Model A included the discrete levels of each index. In model B, data regarding age, sex, vital signs on arrival to hospital, the Injury Severity Score, and blunt trauma were added to each index. The effectivity of the JCS score was then evaluated using the area under the curve (AUC) for discrimination, a calibration plot, and the Hosmer-Lemeshow test for calibration.

Results A total of 9045 patients were identified. The AUCs of the GCS and JCS were 0.929 (95% confidence interval (CI) 0.904 to 0.954) and 0.930 (95% CI 0.906 to 0.954) in model A and 0.975 (95% CI 0.963 to 0.987) and 0.974 (95% CI 0.963 to 0.985) in model B, respectively. The results of the Hosmer-Lemeshow test were 0.00 (p=1.00) and 0.00 (p=1.00) in model A and 4.14 (p=0.84) and 8.55 (p=0.38) in model B for the GCS and JCS, respectively.

Conclusions We demonstrated that the JCS is as valid as the GCS for predicting mortality. The findings of this study indicate that the JCS is a useful and relevant tool for pediatric trauma care and future research.

  • mortality
  • health services research
  • epidemiology

Data availability statement

Data may be obtained from a third party and are not publicly available. Data supporting the findings of this study are available from Japan Trauma Data Bank (JTDB), but there are restrictions on the use of these data. These data were used under license for this study and are therefore not available to the public. However, upon reasonable request, the data may be obtained with the permission of JTDB.

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Key messages

What is already known about this subject?

  • In the treatment of pediatric trauma, it is important to determine the level of consciousness.

  • The Japan Coma Scale (JCS) is a simple tool for assessing the state of consciousness and is widely used in Japan.

  • Although several reports have proven the usefulness of the JCS in adults, its usefulness in examining children has not been reported.

What are the new findings?

  • There were no clinically meaningful differences between the JCS and Glasgow Coma Scale (GCS) in discrimination of in-hospital mortality in pediatric trauma patients.

  • The calibration of the JCS was comparable to the GCS in predicting mortality in pediatric trauma cases.

  • In children, the JCS and GCS are both valid predictors of mortality.

How might it impact on clinical practice in the foreseeable future?

  • The JCS is a valuable and relevant tool for pediatric trauma care and future research.

Introduction

Neurological status is an important predictive indicator in trauma. The Glasgow Coma Scale (GCS) is used globally to assess the severity of brain dysfunction and is a component of several predictive scores.1–5 The GCS score has been reported as an important predictive factor for prognosis, even in children.6–8

The Japan Coma Scale (JCS), which was developed in 1974,9 is widely used in clinical practice, including in emergency medicine, in Japan, to assess the level of consciousness. Both the JCS and GCS are commonly used in Japan; however, nurses and paramedics10 tend to use the JCS because it is easy to score. Healthcare professionals, including physicians, often use the JCS to assess a child’s state of consciousness.11 Therefore, the JCS is used to assess consciousness in various settings in Japan, such as in prehospital care,10 and it is also used in nationwide databases, such as the Nationwide Claims Database12 13 and the Japan Trauma Data Bank (JTDB).10 14 Several studies have described the usefulness of the JCS for the prediction of mortality in adults15–19; however, the usefulness of the JCS score in the assessment of pediatric trauma patients has not yet been reported.

Identifying the usefulness of the widely used JCS score would be helpful in assuring the quality of practice and facilitating future research. Therefore, the purpose of this study was to evaluate the usefulness of the JCS in predicting mortality in pediatric trauma patients.

Methods

Patient and public involvement

This study was conducted using secondary data and did not involve patients or the public.

Study design and data source

This was a retrospective cohort study conducted using the National Trauma Database. We obtained the data from the JTDB, which was a joint organization by the Japanese Association for the Surgery of Trauma (Trauma Registry Committee) and the Japanese Association for Acute Medicine (Committee for Clinical Care Evaluation) in 2003. Two hundred and seventy-two hospitals voluntarily submitted data to the JTDB.14 Approximately 74% of all tertiary-level emergency hospitals in Japan have contributed to the database.14 To maintain data quality, those who submitted Abbreviated Injury Scale (AIS) scores received training for AIS code. The JTDB registration criteria are usually based on an AIS score of ≥3. Data cleansing was also done by the JTDB. The database contains data on the demographics of each patient, vital signs recorded at the trauma scene and on arrival at the emergency department, pre-existing medical conditions, nature of injury, diagnosis, severity of the injury, surgical and interventional procedures, and patient disposition. Diagnoses for injury were recorded based on the AIS. Severity of anatomical injuries were assessed using the Injury Severity Score (ISS). The state of consciousness on admission was assessed using both the JCS and GCS scores.

Japan Coma Scale

The development of the JCS in Japan coincided with the publication of the GCS.1 9 Since then, the JCS has been used as a standard scale for assessing consciousness in trauma patients by paramedics and healthcare providers throughout Japan.

The scale consists of four main categories: 0-digit, 1-digit, 2-digit, and 3-digit codes, which correspond to ‘alert’, ‘awake without stimulation’, ‘awake on stimulation but asleep when stimulation stops’, and ‘does not wake on any stimulation’, respectively. The 1-digit, 2-digit, and 3-digit codes are further divided into three subcategories, making a total of 10 grades overall. The 1-digit code consists of grades 1, 2, and 3, which denote ‘almost fully conscious but not normal’, ‘unable to recognize time, place, or person’, and ‘unable to recall name or date of birth’, respectively. The 2-digit code consists of grades 10, 20, and 30, which denote ‘arousable by being spoken to’, ‘arousable by loud voice’, and ‘arousable only by repeated mechanical stimuli’, respectively. The 3-digit code consists of grades 100, 200, and 300, which denote ‘unarousable but responds to avoid the stimuli’; ‘unarousable but responds with slight movements, including decerebrate or decorticate postures’; and ‘does not respond at all’, respectively9 16 20 (online supplemental table 1, left row).

Supplemental material

Similar to the GCS, the JCS has a modified version for infants.20 21 In this modified version, the 1-digit code consists of grades 1, 2, and 3, which represent ‘laughs when amused, but not fully and aloud’, ‘does not laugh when amused but able to make eye contact’, and ‘does not make eye contact with the mother’, respectively. The 2-digit code consists of grades 10, 20, and 30, which indicate ‘tries to drink something if showed it or wanting and sucking a nipple if showed it’, ‘opens and turns eyes to the person who calls out’, and ‘slightly opens eyes after repeated calls’, respectively. The 3-digit code consists of grades 100, 200, and 300, which denote ‘unarousable but responds to avoid the stimuli’; ‘unarousable but responds with slight movements, including decerebrate or decorticate postures’; and ‘does not respond at all’, respectively (online supplemental table 1, right row). Generally, children older than infants are designated a JCS score using the same criteria used for adults.

Study participants

We included patients younger than 16 years treated between 2004 and 2015. Patients who were in cardiac arrest at the time of hospital arrival and patients missing data on JCS or GCS scores at the time of hospital arrival or death were excluded.

Variables

We defined the GCS as an index test. The data collected included data on age, sex, vital signs on arrival at the hospital, the ISS, and blunt trauma. Vital signs were classified as normal, above normal, or below normal in accordance with age.22 For details regarding vital signs, please see online supplemental table 2. The main outcome measure was in-hospital mortality.

Supplemental material

Physicians assessed the consciousness condition of a patient on arrival at the hospital using the JCS and GCS. In Japan, physicians are trained to use both the GCS and JCS. Each of the GCS and JCS was examined in two models. The first model (model A) included the discrete levels of each index; the second model (model B) included these levels plus seven additional predictors of mortality: age, sex, classified vital signs (hypotension, tachypnea, and bradypnea), the ISS, and blunt trauma. We selected these items based on the Trauma and Injury Severity Score, a common score used for the prediction of mortality due to trauma.3

Statistical analyses

First, the GCS models were validated. The area under the receiver operating characteristic curve (AUC) was computed with a 95% confidence interval (CI) using 1000 bootstrap replicates. The calibration of the GCS models with a calibration plot was graphically assessed and examined using the Hosmer-Lemeshow test. A p value <0.05 indicates the lack of a good fit for the model.23 Second, the clinical importance of the JCS was examined. Logistic regression analysis was conducted. The discrete levels of each index were treated as distinct categories. Third, the model performance of the JCS score was assessed using the AUC for discrimination and a calibration plot and the Hosmer-Lemeshow test for calibration. We performed a sensitivity analysis using the M component of the GCS score as a reference test instead of the total GCS score because some studies implied that the M component of GCS is a good predictor of outcomes.24

Continuous variables are expressed as median and interquartile range (IQR) values, while ordinal and categorical variables are expressed as frequencies and percentages. We used complete cases for all comparisons in the study analyses. All tests of significance were two-tailed, and a p value <0.05 was considered significant. Variables were analyzed using Stata V.15 (StataCorp, College Station, Texas, USA).

Results

A total of 233 104 patients were enrolled during the observation period; 224 059 patients were excluded based on age or lack of information regarding the evaluation of consciousness and mortality (figure 1). Thus, a total of 9045 pediatric patients were finally included in the study. Most of the children were of school going age or older, and more than half were alert on arrival at the hospital. Approximately 70% of the patients were boys. Hypotension on arrival at the hospital was rare. The in-hospital mortality rate was 1.8% (table 1).

Table 1

Characteristics of the patients

Figure 1

Flow chart of participant selection. GCS, Glasgow Coma Scale; JCS, Japan Coma Scale.

Figure 2 shows the AUCs of the GCS and JCS for model A (figure 2A) and model B (figure 2B). Figure 3 shows the results of the Hosmer-Lemeshow test. Because many children had a GCS score of 15 or a JCS ‘alert’ grade, their scores were combined and categorized into five groups for the Hosmer-Lemeshow test. Every point in each group lies on an approximately diagonal line.

Figure 2

Receiver operating curves of the Glasgow Coma Scale (GCS) and Japan Coma Scale (JCS). (A) Model A; (B) model B.

Figure 3

Calibration plot of the Glasgow Coma Scale and Japan Coma Scale. (A) Glasgow Coma Scale (model A). (B) Japan Coma Scale (model A). (C) Glasgow Coma Scale (model B). (D) Japan Coma Scale (model B). The size of each circle represents the number of patients in each stratum.

The AUC of the GCS was 0.929 (95% CI 0.904 to 0.954) in model A (figure 2A) and 0.975 (95% CI 0.963 to 0.987) in model B (figure 2B). The Hosmer-Lemeshow χ2 statistic was 0.00 (p=1.00) in model A (figure 3A, online supplemental table 1) and was 4.14 (p=0.84) in model B (figure 3C, online supplemental table 2).

The AUC of the JCS was 0.930 (95% CI 0.906 to 0.954) in model A (figure 2A) and was 0.974 (95% CI 0.963 to 0.985) in model B (figure 2B). The Hosmer-Lemeshow χ2 statistic was 0.00 (p=1.00) in model A (figure 3B, online supplemental table 1) and was 8.55 (p=0.38) in model B (figure 3D, online supplemental table 2). The ORs for each variable are shown in online supplemental table 3.

Supplemental material

The sensitivity analyses showed results similar to those of our main analysis (online supplemental figures 1 and 2). The AUC of the M component of GCS was 0.913 (95% CI 0.886 to 0.940) in model A (online supplemental figure 1A) and was 0.973 (95% CI 0.961 to 0.984) in model B (online supplemental figure 1B). The Hosmer-Lemeshow χ2 statistic was 0.00 (p=1.00) in model A (online supplemental figure 2A) and was 6.21 (p=0.62) in model B (online supplemental figure 2B).

Supplemental material

Supplemental material

Discussion

In this study, we used a Japanese national trauma database to evaluate the usefulness of the JCS for predicting mortality in children. We found no clinically meaningful differences between the JCS and GCS in terms of discrimination and calibration for in-hospital mortality in pediatric trauma patients.

Similar to previous studies conducted among adults,15–17 our study showed that the usefulness of the JCS in predicting mortality was similar to that of the GCS. Although a previous study included children as a part of the targeted population, no study has yet revealed the usefulness of the JCS in a subset of children.25

In contrast to the GCS score, the JCS score can be obtained without calculations involving multiple items. Thus, paramedics, nurses and some physicians in Japan prefer to use the JCS. The results of this study demonstrate the usefulness of the JCS in children, improve our understanding of the scale and clarify its predictive value for mortality. This is beneficial to paramedics and healthcare providers who use the JCS frequently.

The GCS has been used as a covariate and incorporated as a scoring factor in various studies in the fields of emergency medicine and intensive care.3 26–29 In addition to its usefulness in clinical practice, the JCS, like the GCS, could be used as a covariate in future studies on causal inference.

Strength and limitations

The strength of this study is that we evaluated the JCS and GCS simultaneously; therefore, we could compare their scores directly.

This study had some limitations. First, only patients registered in the database were included in the study. However, we believe that this study covers the most severe pediatric trauma cases in Japan because approximately three-quarters of the tertiary care hospitals in Japan are registered with the JTDB.14 Second, the granularity of patient details was limited because a database was used for this study. A large prospective, exhaustive study is needed to address these limitations. Third, our database did not include the functional outcomes, which represent the morbidity. Therefore, we could only compare the usefulness of the scores in terms of mortality. Lastly, the model for the mild disturbance of consciousness category was unstable given the small number of patients, which could have affected the results. However, since the receiver operating characteristic and calibration plots showed consistent results, we believe that this issue does not significantly impact the findings of the study.

In conclusion, using a Japanese nationwide trauma database, we demonstrated that the JCS is as valid as the GCS for the prediction of mortality. The results suggest that the JCS is a useful and relevant tool for pediatric trauma care and future research.

Data availability statement

Data may be obtained from a third party and are not publicly available. Data supporting the findings of this study are available from Japan Trauma Data Bank (JTDB), but there are restrictions on the use of these data. These data were used under license for this study and are therefore not available to the public. However, upon reasonable request, the data may be obtained with the permission of JTDB.

Ethics statements

Patient consent for publication

Ethics approval

The study was approved by the the Institutional Review Board of the National Hospital Organization Mito Medical Centre. The need for informed consent was waived due to the anonymity of the research data.

Acknowledgments

We would like to thank Editage (www.editage.com) for English language editing.

References

Supplementary materials

Footnotes

  • Contributors YE is the guarantor. YE, YT and AT contributed to conceptualization, formal analysis and writing – original draft. TK, KI, MT, SY and YI contributed to supervision. All the authors approved the final manuscript.

  • Funding This research was funded through the support of JSPS KAKENHI Grant Number 20K09261.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.