Comparison of APACHE II, MEES and Glasgow Coma Scale in patients with nontraumatic coma for prediction of mortality
© BioMed Central Ltd 2001
Received: 11 July 2000
Accepted: 6 November 2000
Published: 14 December 2000
There are numerous prehosital descriptive scoring systems, and it is uncertain whether they are efficient in assessing of the severity of illness and whether they have a prognostic role in the estimation of the illness outcome (in comparison with that of the prognostic scoring system Acute Physiology and Chronic Health Evaluation [APACHE] II). The purpose of the present study was to assess the value of the various scoring systems in predicting outcome in nontraumatic coma patients and to evaluate the importance of mental status measurement in relation to outcome.
Patients and methods
In a prehospital setting, postintervention values of the Mainz Emergency Evaluation System (MEES) and Glasgow Coma Scale (GCS) were measured for each patient. The APACHE II score was recorded on the day of admission to the hospital. This study was undertaken over a 2-year period (from January 1996 to October 1998), and included 286 consecutive patients (168 men, 118 women) who were hospitalized for nontraumatic coma. Patients younger than 16 years were not included. Their age varied from 16 to 87 years, with mean ± standard deviation of 51.8 ± 16.9 years. Sensitivity, specificity and correct prediction of outcome were measured using the χ2 method, with four severity scores. The best cutoff point in each scoring system was determined using the Youden index. The difference in Youden index was calculated using the Z score. For each score, the receiver operating characteristic (ROC) curve was obtained. The difference in ROC was calculated using the Z score. P < 0.05 was considered statistically significant.
For prediction of mortality, the best cutoff points were 19 for APACHE II, 18 for MEES and 5 for GCS. The best cutoffs for the Youden index were 0.63 for APACHE II, 0.61 for MEES and 0.65 for GCS. The correct prediction of outcome was achieved in 79.9% for APACHE II, 78.3% for MEES and 81.9% for GCS. The area under the ROC curve (mean ± standard error) was 0.86 ± 0.02 for APACHE II, 0.84 ± 0.06 for MEES and 0.88 ± 0.03 for GCS. There were no statistically significant differences among APACHE II, MEES and GCS scores in terms of correct prediction of outcome, Youden index or area under ROC curve.
APACHE II is not much better than prehospital descriptive scoring systems (MEES and GCS). APACHE II and MEES should not replace GCS in assessment of illness severity or in prediction of mortality in nontraumatic coma. For the assessment of mortality, the GCS score provides the best indicator for these patients (simplicity, less time-consuming and effective in an emergency situation.
KeywordsAcute Physiology and Chronic Health Evaluation II Glasgow Coma Scale Mainz Emergency Evaluation System nontraumatic coma prediction of mortality
There is growing interest in intensive care medicine in scoring systems for measuring the severity of illness and predicting outcome in critically ill patients. Since 1974, the GCS  has been routinely applied in intensive care units and emergency prehospital settings. The GCS provides a good basis for assessing the depth of consciousness and coma. This scale, together with other neurological assessments [2,3,4,5], should be administered as soon as possible in emergency situations, and may be repeated at intervals, especially when neurological function is fluctuating .
The GCS was developed as a means for grading patients with traumatic brain injury and for predicting their chances of neurological recovery. Clinicians now use GCS as the only neurological predictor in many prognostic systems, such as APACHE, APACHE II, APACHE III, Acute Physiology Score (APS) and Simplified Acure Physiology Score (SAPS) [4,7,8,9,10,11]. The MEES is a descriptive scoring system that includes the GCS assessment . In theory, the prognostic APACHE II and the descriptive MEES scoring systems are more relevant to prediction of outcome in critically ill patients because the GCS assessment is included in these systems. On the basis of other parameters (arterial pressure, heart rate, respiratory rate, oxygenation, chronic health points, age points), the MEES (descriptive) and APACHE II (prognostic) systems should be better than the GCS at predicting outcomes.
The purpose of the present study was to assess the value of scoring systems in predicting outcome in nontraumatic coma patients and to evaluate the importance of mental status measurement in relation to outcome.
Patients and methods
This prospective study was undertaken over a 2-year period, and included 286 consecutive patients hospitalized for nontraumatic coma. The inclusion criteria were GCS ≤ 9, and specific medical diagnoses as follows: hypoxic or ischaemic injury; focal cerebral injury; general cerebral injury; metabolic or septic encephalopathy; and drug-induced coma or toxic injury, including drug overdose and coma persisting 24 h after discontinuation of toxic substances.
Mainz emergency evaluation score
Pulse rate (beats/min)
50-59 or 101-130
40-49 or 131-160
≤ 39 or ≥161
Respiration rate (breaths/min)
8-11 or 19-24
5-7 or 25-30
≤ 4 or ≥ 31
Absolute arrhythmia; polymorphic VES
Ventricular tachycardia, ventricular fibrillation, asystole
Systolic blood pressure (mmHg)
100-119 or 141-159
80-99 or 160-229
≤ 79 or ≥ 230
Arterial oxygen saturation
The sensitivity, specificity and predictive power of each cutoff point were calculated from the two-by-two table in SPSS for Windows (MIcrosoft, Washington, USA) for APACHE II, MEES and GCS . The Youden index was also used to determine the best cutoff points (the higher the index, the better the prediction at the cutoff point) . Percentages of correct predictions of mortality were obtained at these same cutoff points. For each score, ROC curves were obtained [16,17]. The ROC curve depicts the relation between true-positive results (number of predicted deaths among those who actually died) and false-positive results (number of predicted deaths among those who actually survived) for each score. The greater the area under ROC curve, the better the scoring system. The ROC curve was calculated using the Systat software (Systat Inc, Evanstan, IL, USA). The outcome predictions data were analyzed using McNemar's test. The compara-sions of the areas under the ROC curves and the analyses of the differences of Youden index were performed using the method described by Hanley and McNeil [16,17]. P < 0.05 was considered statistically significant. Values are expressed as mean ± standard error.
Outcomes after nontraumatic coma and coma aetiology
rate (n [%])
rate (n [%])
Hypoxic or ischaemic
Metabolic or septic
Comparison of the assessment scores in hospital mortality
Best cutoff point
of outcome (%)
0.86 ± 0.02
0.84 ± 0.06
0.88 ± 0.03†
Subjective evaluations of clinical status by individual clinicians may differ in terminology, and even in measurement of the severity of illness. Hence, various descriptive and prognostic evaluation scales (scoring systems) have been developed during the past three decades. Objective evaluation of clinical status would facilitate comparison of methods, staff, clinical centres and studies [1,2,3,4,5,6,7,8,13,14]. The need for such evaluation scales is particularly evident in coma patients, and even more so in patients with alterations in consciousness. The aim of research in this area is to obtain a reliable and sensitive scale.
In 1974, such research resulted in the GCS [1,6]. Since this scale was reported, numerous studies have examined its value in assessing clinical status and prognosis. Initially, the scale was used in patients with head injury , but later it became widely used in evaluating central nervous system lesions and state of consciousness.
With the development of emergency medicine, a need arose for evaluation scales that would provide rapid triage and objective status assessment. On the other hand, a prehospital evaluation scale would be optimal if (apart from being descriptive) it had a prognostic component, and would therefore be applicable to hospital-based observation of the patient. Among the various scales, MEES has attracted attention because of its applicability in trauma and illness . Cho and Wang  concluded that, for head-injured patients, the GCS has good predictive value for hospital mortality in comparison with other evaluation scales. The latter scale has also attracted attention because of its simplicity.
In view of the experience with these scales in traumatic coma, we conducted a comparative study in nontraumatic coma. The need for accurate prediction of mortality in non-traumatic coma by GCS was identified by Plum and Levy in 1978 . In their comparison of GCS with other neurological tests, Levy et al  demonstrated that the GCS has good predictive value. A number of studies [13,20,21,22,23,24,25,26] have emphasized the importance of aetiology, which, together with GCS, represents a good combination for better prediction of mortality. In our work, we have also observed the prognostic value of individual elements of the electrocardiogram in coma following cerebrovascu-lar accident and organophosphate poisoning. Romera  demonstrated that GCS score correlates with APACHE II score in patients who have suffered a cerebrovascular accident; also, the former is simpler and has fewer parameters. It was concluded that GCS was, because of its simplicity and rapidity, a better scale than the Simplified Acute Physiology Score for prediction of mortality in patients with cerebroventricular accident. Kriger et al  identified a correlation between intracranial pressure, analyses of evoked potentials and GCS score, regardless of aetiology of coma. Those investigators also concluded that GCS is a good prognostication tool, as compared with other, more complicated methods.
In the present study, coma patients were grouped on the basis of aetiology, according to the method of Sacco et al . No statistically significant differences in accuracy of prognosis prediction were identified for the three scales assessed. For prehospital work, this finding is important because it shows that GCS does not deviate significantly either from the MEES scale (which has more parameters) or from the APACHE II scale (which is measured in hospital). GCS has important advantages over other scales, because it enables rapid evaluation of status and may direct necessary interventions. Furthermore, it is possible to observe continuously the state of consciousness, and to identify eventual improvement (indicating efficacy of therapy) or deterioration. GCS is widespread and clinicians are familiar with it. This scale therefore facilitates good 'clinical communication' between prehospital work and further hospital procedures and treatments.
The GCS values determined before hospitalization of the patients and the APACHE II scores determined on the first day of hospitalization enabled us to compare descriptive and prognostic scales directly. We compared the prognostic value of postintervention prehospital values of GCS and hospital values of APACHE II. We found that the prehospital GCS assessment was as good a predictor of mortality as was the APACHE II score, as measured in the hospital. The GCS is well established, and its simple application before admission to hospital and during hospital treatment facilitates continuous evaluation of the patient's state and allows prognostic evaluation in non-traumatic coma.
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