Literature DB >> 22980245

Comparison of the acute physiology and chronic health evaluation score (APACHE) II with GCS in predicting hospital mortality of neurosurgical intensive care unit patients.

Ali Reza Zali1, Amir Saied Seddighi, Afsoun Seddighi, Farzad Ashrafi.   

Abstract

BACKGROUND: The Glasgow Coma Scale (GCS) is popular, simple, and reliable, and provides information about the level of consciousness in trauma patients. However, a systemic evaluation scale specially in patients with multiple trauma is so important. The revised Acute Physiology and Chronic Health Evaluation system type 2 (APACHE II) is a physiologically based system including physiological variables. This study compares the efficacy of the predicting power for mortality and functional outcome of GCS and APACHEII in patients with multiple trauma in intensive care unit.
METHODS: This study included the patients with head injury associated with systemic trauma admitted in the ICU of Shahid Rajaee Hospital in 2007 and 2008. Sensitivity, specificity and correct prediction of outcome by GCS and APACHE II were assessed and compared.
RESULTS: This study included 93 patients (79 males, 14 females; mean age 60.5; range 14 to 87 years) with head injury associated with systemic trauma in 2007 and 2008. Mortality increased in the elderly group. The mean survival score using APACHE II was 36.5 and death score was 67.4 . These values using GCS were 10.3 and 6.8, respectively.
CONCLUSION: For the assessment of mortality, the GCS score still provides simple, less-time consuming and effective information concerning head injury patients, especially in emergencies; however, for the prediction of mortality in patients with multiple trauma. APACHE II is superior to GCS since it includes the main physiologic parameters of patients.

Entities:  

Mesh:

Year:  2012        PMID: 22980245      PMCID: PMC4776917          DOI: 10.5539/gjhs.v4n3p179

Source DB:  PubMed          Journal:  Glob J Health Sci        ISSN: 1916-9736


1. Introduction

A growing focus on health quality and mortality risk increased the need for accurate severity scoring systems in patients (Khuri, Daley, Henderson, et al., 1998). With accurate severity scales we can compare clinical outcomes. The risk stratification of trauma patients has traditionally focused on anatomic or physiologic scores specific to trauma populations. Several systems have been developed for evaluation of trauma patients and these scores have been previously reviewed (Chawda, Hildebrand, Pape, & Giannoudis, 2004). Among the most commonly used are the injury severity score (ISS) and the Trauma and Injury Severity Score (TRISS). ISS is an anatomic scoring system developed in 1974 for the assessment of multiple trauma patients (Baker, O’Neill, Haddon, & Long, 1974). The lack of physiologic data led rapidly to revisions of the ISS. TRISS is the revised version but also incorporates the Revised Trauma Score (RTS), the patient’s age and the mechanism of injury to determine a patient’s predicted survival (Boyd, Tolson, & Copes, 1987). Scoring systems have been continuously developed to predict outcomes in patients with severe illness, to improve resource allocation and to assist in clinical decision-making particularly for intensive care unit (ICU) patients (Teasdale & Jennett, 1974; Balestreri et al., 2004; Alvarez, Nava, Rué, & Quintana, 1998). Acute physiology and chronic health evaluation II (APACHE II) and Glasgow Coma Scale (GCS) are two systems currently in common use for measuring the condition of individual ICU patients (Chesnut, 1998). Patients who are admitted to the neurosurgical ICU are likely in many instances to have higher mortality despite multimodal intensive management, regardless of their neurosurgical diagnosis (Walther, Jonasson, & Gill, 2003). The revised Acute Physiology and Chronic Health Evaluation system (APACHE II) has been frequently applied in many intensive care units (ICUs) throughout the world since 1985 (Knaus, Draper, Wagner, & Zimmerman, 1985; Cho, Wang, & Lee, 1995; Lane, Báez, Brabson, Burmeister, & Kelly, 2002; Hartley, Cozens, Mendelow, & Stevenson, 1995). APACHE II is a physiologically based system including 12 physiological parameters and it also includes GCS. APACHE II has been designated as an exact predictor of outcome across a wide range of diagnostic groups, but it has yet to gain wide acceptance in neurosurgery, where instead the GCS has been the standard against which other grading systems are compared. The system is thought to be superior to GCS due to its recognition of age and significant underlying problems (Caronna & Stübgen, 2000). This study compares GCS and APACHE II scores in patients with multiple trauma in terms of prediction of efficiency and mortality.

2. Materials & Methods

This study included the consecutive patients with head trauma associated with systemic trauma between 2007 and 2008. The data were collected and analyzed to calculate APACHE II (table 1) and GCS scores (table 2) at the time of admission to the ICU. The values were further analyzed according to age, sex, organ trauma, and treatment protocol.
Table 1

The items of APACHE II system

Physiological VariableHigh Abnormal RangeLow Abnormal Range

+4+3+2+10+1+2+3+4Points
Temperature≥41°39 to 40.9°38.5 to 38.9°36 to 38.4°34 to 35.9°32 to 33.9°30 to 31.9°≤29.9°
Mean Arterial Pressure-mm Hg≥160130 to 159110 to 12970 to 10950 to 69≤49
Heart Rate≥180140 to 179110 to 13970 to 10955 to 6940 to 54≤39
Respiratory Rate≥5035 to 4925 to 3412 to 2410 to 116 to 9≤5
Oxygenation: A-aDO2 or PaO2 (mm Hg)≥500350 to 499200 to 349<200
a. FD2 ≥0.5 record A-aD02
b. FD2 >0.5 record PaO2PO2>70PO2 61 to 70PO2 55 to 60PO2<55
Arterial pH≥7.77.6 to 7.697.5 to 7.597.33 to 7.497.25 to 7.327.15 to 7.24<7.15
Serum HCO3 (venous mEq/l)≥5241 to 51.932 to 40.922 to 31.918 to 21.915 to 17.9<5
Serum Sodium (mEq/l)≥180160 to 179155 to 159150 to 154130 to 149120 to 129111 to 119≤110
Serum Potassium (mEq/l)≥76 to 6.95.5 to 5.93.5 to 5.43 to 3.42.5 to 2.9<2.5
Serum Creatinine (mEq/l)≥3.52 to 3.41.5 to 1.90.6 to 1.4<0.6
Haematocrit (%)≥6050 to 59.946 to 49.930 to 45.920 to 29.9<20
White Blood Count (total/mm3)≥4020 to 39.915 to 19.93 to 14.91 to 2.9<1
Glasgow Coma Score (GCS)
Score = 15 minus actual GCS

A. Total Acute Physiology Score (APS) (sum of 12 above points)

B. Age points (years) ≤44=0; 45 to 54=2; 55 to 64=3; 65 to 74=5; ≥75=6

C. Chronic Health Points (see below)

Total APACHE II Score (add together the points from A+B+C

Table 2

GCS components

Eye openingBest verbal responseBest motor response
6: obey commands
5: oriented5: localizes
4: spontaneous4: confused4: withdraws
3: to speech3: inappropriate words3: abnormal flexion
2: to pain2: incomprehensible sounds2: extension

1: none1: none1: none
Total GCS Score: 3-15
The items of APACHE II system A. Total Acute Physiology Score (APS) (sum of 12 above points) B. Age points (years) ≤44=0; 45 to 54=2; 55 to 64=3; 65 to 74=5; ≥75=6 C. Chronic Health Points (see below) Total APACHE II Score (add together the points from A+B+C GCS components For the APACHE II calculation, physiological variables were obtained within the first 24 hours of admission to the intensive care unit, as were the age and information on chronic disease. On the other hand, an equation established by Knaus et al. in 1985 was used for the calculation of mortality risk. In the case of sedated patients still under immediate post-anesthesia observation, the score relating to the assessment of consciousness level via GCS was calculated only after the patient had overcome the anesthetic effect. For intubated patients, this score was calculated considering their capacity to understand, regardless of speech. Recorded and expected mortality rates were compared for each group of patients, and the standard mortality ratio was calculated. Student’s t test was used for comparing the averages of continuous measurements. The chi-squared test was used for comparing the proportions of categorized measurements and showing trends in situations of ranking. Averages across more than two groups were compared via analysis of variance between groups (ANOVA). A Receiver Operating characteristic (ROC) curve depicted the relation between true positive (sensitivity or number of predicted deaths/number of deaths) and false positive (1-specificity, or number of predicted deaths/number of survivors) for each scale. The area under the ROC curve was evaluated. A value of 0.5 under the ROC curve indicated that the variable performs no better than chance, while a value of 1.0 indicates perfect discrimination. A larger area under the ROC curve represents more reliability and good discrimination of the scoring system. The predictive capability of the index was assessed using the receiver operating characteristic curve, through a 2 × 2 decision matrix and linear regression analysis. The Statistical Package for the Social Sciences (SPSS) program were used and p < 0.05 was considered statistically significant.

3. Results

The study included 93 patients (79 males, 14 females). Mean age was 60.5 with the range from 14 to 87 years. In our cases 71.5% patients were admitted due to motor vehicle accident, 23.2% due to fall and 5.3% with a street battle. The mortality in relation to different APACHE II (table 3) and GCS (table 4) were evaluated. The patients were analyzed according to age, sex, and details of systemic trauma. Although there was no significant difference for sex in terms of mortality (p=0.459), mortality increased in the elderly group (p<0.001). This result supports the fact that APACHE II could be better than GCS in predicting mortality.
Table 3

GCS of Patients and mortality in ICU

GCSNumber/Percent (%)Mortality/Percent (%)
13-1518 (19.4)3 (3.2)
9-1227 (29.0)6 (6.4)
3-848 (51.6)9 (9.7)
Total93 (100)18 (19.3)
Table 4

APACHE II score of patients and mortality in ICU

APACHE II ScoreNumber/Percent (%)Mortality/Percent (%)
0-55 (5.4)0 (0)
6-1019 (20.3)1(1.1)
11-1522 (23.7)2(2.1)
16-2020 (21.5)2(2.1)
21-2518 (19.4)3(3.2)
26-305 (5.4)4(4.4)
>304 (4.3)6(6.4)

Total93 (100)18/(19.3)
GCS of Patients and mortality in ICU APACHE II score of patients and mortality in ICU All of the cases had multiple trauma. Patients with orthopedic problems formed the largest group (35.3%). Other groups were categorized in a decreasing order of frequency as follows: craniofacial trauma 24.4%, thoracic trauma 21.8%, spinal trauma 13.2% and abdominal trauma 5.3%. 18 patients died in hospital, which indicates a mortality ratio of 19.5% in this study. The mortality was higher in groups with thoracic and orthopedic trauma but there was no statistical influence of associated trauma over mortality. Surgical treatment was performed in 35.3% due to head or systemic trauma. The mean survival score using APACHE II was 36.5 and death score was 67.4 (p<0.001). These values using GCS were 10.3 and 6.8, respectively (p<0.001) (table 5). The area under the ROC curve was larger in APACHE II (0.892±0.028) than GCS (0.621±0.029) (figure 1).
Table 5

The mean survival and death scores

ScoreAPACHE II Median pointGCS Median point
Death67.46.8
Survival36.510.3
Figure 1

The receiver operative characteristic curves for APACHE II score (Right) and GCS (Left)

The mean survival and death scores The receiver operative characteristic curves for APACHE II score (Right) and GCS (Left)

4. Discussion

The GCS is a physiological scoring system, and it remains a critical measure of neurological assessment and assessment of severity of traumatic head injury on admission. It is known that a low GCS is associated with poor prognosis; however, the measurement can be complicated in some cases. This scale measurement can be difficult to assess when the patient is intubated, sedated, intoxicated or has maxillofacial injuries (Meredith, Rutledge, Fakhry, Emery, & Kromhout-Schiro, 1998; Livingston, Mackenzie, MacKirdy, & Howie, 2000). Furthermore, the age factor, which is not included in GCS. Systemic hypotension, intracranial hypertension, arterial hypoxia, and hypocapnia are known to be associated with poor outcome after head injury. APACHE II contains 12 physiologic variables that are useful predictors of hospital outcome in ICU patients. (Knaus, Draper, Wagner, & Zimmerman, 1985; Vassar, Lewis, Chambers et al, 1999). Moreover, it covers GCS, age and chronic health conditions, which are thought to reflect physiological reserve defined for regulation of homeostasis. Sacco et al. (Sacco, Copes, Bain, MacKenzie, Frey, Hoyt, et al., 1993) reported that premorbid chronic health status is included in APACHE II, and Milzman et al. (Milzman, Boulanger, Rodriguez, Soderstrom, Mitchell, & Magnant, 1992) concluded that pre traumatic medical status or organ dysfunction had a significantly adverse effect on survival of trauma patients. The inclusion of chronic health status can improve the prediction of outcome in ICU trauma patients (Cho, Wang, Lee, 1995) Superior prognostic results were reported among cases having both occlusive cerebrovascular and coronary diseases, (Wong, Barrow, Gomez, McGuire, 1996) when APACHE II was performed. Pathophysiological changes predicted in an organism after systemic trauma could be demonstrated easily by the APACHE II scoring system. However, there are several limitations of the APACHE II scoring system. For example, APACHE II classifies trauma patients into two separate groups of patients as head trauma and multiple trauma, or postoperative and non-operated groups. For the assessment of early mortality, GCS score still provides simple, less-time consuming and effective information concerning head injury patients, especially in an emergency situation; however, for the prediction of mortality, APACHE II is better than GCS as it additionally includes the main physiologic parameters of the patient.
  20 in total

1.  Should the pre-sedation Glasgow Coma Scale value be used when calculating Acute Physiology and Chronic Health Evaluation scores for sedated patients? Scottish Intensive Care Society Audit Group.

Authors:  B M Livingston; S J Mackenzie; F N MacKirdy; J C Howie
Journal:  Crit Care Med       Date:  2000-02       Impact factor: 7.598

2.  Glasgow Coma Score versus severity systems in head trauma.

Authors:  R M Chesnut
Journal:  Crit Care Med       Date:  1998-01       Impact factor: 7.598

3.  The conundrum of the Glasgow Coma Scale in intubated patients: a linear regression prediction of the Glasgow verbal score from the Glasgow eye and motor scores.

Authors:  W Meredith; R Rutledge; S M Fakhry; S Emery; S Kromhout-Schiro
Journal:  J Trauma       Date:  1998-05

4.  A comparison of the Acute Physiology and Chronic Health Evaluation (APACHE) II score and the Trauma-Injury Severity Score (TRISS) for outcome assessment in intensive care unit trauma patients.

Authors:  D T Wong; P M Barrow; M Gomez; G P McGuire
Journal:  Crit Care Med       Date:  1996-10       Impact factor: 7.598

5.  Effectiveness of a Glasgow Coma Scale instructional video for EMS providers.

Authors:  Peter L Lane; Amado Alejandro Báez; Thomas Brabson; David D Burmeister; John J Kelly
Journal:  Prehosp Disaster Med       Date:  2002 Jul-Sep       Impact factor: 2.040

6.  Mortality prediction in head trauma patients: performance of Glasgow Coma Score and general severity systems.

Authors:  M Alvarez; J M Nava; M Rué; S Quintana
Journal:  Crit Care Med       Date:  1998-01       Impact factor: 7.598

7.  Comparison of the Glasgow Coma Scale and the Reaction Level Scale for assessment of cerebral responsiveness in the critically ill.

Authors:  Sten M Walther; Ulla Jonasson; Hans Gill
Journal:  Intensive Care Med       Date:  2003-05-07       Impact factor: 17.440

8.  The Apache II scoring system in neurosurgical patients: a comparison with simple Glasgow coma scoring.

Authors:  C Hartley; A Cozens; A D Mendelow; J C Stevenson
Journal:  Br J Neurosurg       Date:  1995-04       Impact factor: 1.596

Review 9.  Predicting outcome after multiple trauma: which scoring system?

Authors:  M N Chawda; F Hildebrand; H C Pape; P V Giannoudis
Journal:  Injury       Date:  2004-04       Impact factor: 2.586

10.  Predictive value of Glasgow Coma Scale after brain trauma: change in trend over the past ten years.

Authors:  M Balestreri; M Czosnyka; D A Chatfield; L A Steiner; E A Schmidt; P Smielewski; B Matta; J D Pickard
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-01       Impact factor: 10.154

View more
  13 in total

1.  A retrospective analysis of postoperative patients admitted to the intensive care unit.

Authors:  S Uzman; Y Yilmaz; M Toptas; I Akkoc; Y G Gul; H Daskaya; Y Toptas
Journal:  Hippokratia       Date:  2016 Jan-Mar       Impact factor: 0.471

2.  Evaluation of Probability of Survival using APACHE II & TRISS Method in Orthopaedic Polytrauma Patients in a Tertiary Care Centre.

Authors:  Archit Agarwal; Atul Agrawal; Rajesh Maheshwari
Journal:  J Clin Diagn Res       Date:  2015-07-01

3.  Neutrophil CD64 expression is a predictor of mortality for patients in the intensive care unit.

Authors:  Qiqi Chen; Junfeng Shi; Aihua Fei; Feilong Wang; Shuming Pan; Weiwei Wang
Journal:  Int J Clin Exp Pathol       Date:  2014-10-15

4.  Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

Authors:  Farzad Mirzakhani; Farahnaz Sadoughi; Mahboobeh Hatami; Alireza Amirabadizadeh
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-26       Impact factor: 3.298

5.  The impact of body mass index on treatment outcomes among traumatic brain injury patients in intensive care units.

Authors:  S Y Chabok; H Yazdanshenas; A F Naeeni; A Ziabakhsh; S S Bidar; A Reihanian; S Bazargan-Hejazi
Journal:  Eur J Trauma Emerg Surg       Date:  2013-07-31       Impact factor: 3.693

6.  Comparison of acute physiology and chronic health evaluation II and Glasgow Coma Score in predicting the outcomes of Post Anesthesia Care Unit's patients.

Authors:  Mohammad Hosseini; Jamileh Ramazani
Journal:  Saudi J Anaesth       Date:  2015 Apr-Jun

7.  The ability of two scoring systems to predict in-hospital mortality of patients with moderate and severe traumatic brain injuries in a Moroccan intensive care unit.

Authors:  Hicham Nejmi; Houssam Rebahi; Aziz Ejlaidi; Taoufik Abouelhassan; Mohamed Abdenasser Samkaoui
Journal:  Indian J Crit Care Med       Date:  2014-06

8.  Serum soluble-Fas is a predictor of red blood cell transfusion in critically ill patients.

Authors:  Ilana Levy Korkes; Gustavo Schvartsman; Ilson Jorge Lizuka; Beata Marie Quinto; Maria Aparecida Dalboni; Maria Eugênia Canziani; Sergio Antonio Draibe; Virgilio Gonçalves Pereira; Bento Fortunato Cardoso Dos Santos; Julio Cesar Martins Monte; Marcelino de Souza Durão Junior; Marcelo Costa Batista; Oscar Fernando Pavão Dos Santos; Miguel Angelo de Góes Junior; Miguel Cendoroglo Neto
Journal:  Einstein (Sao Paulo)       Date:  2013-12

9.  Acute Physiology and Chronic Health Evaluation (APACHE) III Score compared to Trauma-Injury Severity Score (TRISS) in Predicting Mortality of Trauma Patients.

Authors:  Parvin Darbandsar Mazandarani; Kamran Heydari; Hamidreza Hatamabadi; Parvin Kashani; Yasin Jamali Danesh
Journal:  Emerg (Tehran)       Date:  2016

10.  Hyperglycemia is a predictor of prognosis in traumatic brain injury: Tertiary intensive care unit study.

Authors:  Berna Terzioglu; Osman Ekinci; Zafer Berkman
Journal:  J Res Med Sci       Date:  2015-12       Impact factor: 1.852

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.