JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Surgery Section DOI : 10.7860/JCDR/2016/16390.7294
Year : 2016 | Month : Feb | Volume : 10 | Issue : 02 Full Version Page : PC16 - PC19

Outcome and Predicting Factor Following Severe Traumatic Brain Injury: A Retrospective Cross-Sectional Study

Javaher Khajavikhan1, Aminolah Vasigh2, Ali Khani3, Molouk Jaafarpour4, Taleb Kokhazade5

1 Anaesthesiologist, Department of Anesthesiology, Medicine Faculty, Ilam University of Medical Science, Ilam, IR-Iran.
2 Anaesthesiologist, Department of Anesthesiology, Medicine Faculty, Ilam University of Medical Science, Ilam, IR-Iran.
3 MSc of Nursing, Department of Nursing, Nursing and Midwifery Faculty, Ilam University of Medical Science, Ilam, IR-Iran.
4 MSc of Midwifery, Department of Midwifery, Nursing and Midwifery Faculty, Ilam University of Medical Science, Ilam, IR-Iran.
5 MSc of Nursing, Department of Nursing, Nursing and Midwifery Faculty, Ilam University of Medical Science, Ilam, IR-Iran.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Molouk Jaafarpour, Department of Midwifery, Nursing and Midwifery Faculty, Ilam University of Medical Science, Ilam, IR-Iran.
E-mail: jaafarpourm@gmail.com
Abstract

Introduction

Severe traumatic brain injury (TBI) is a major and challenging problem in critical care medicine.

Aim

To assess the outcome and predicting factor following severe TBI.

Materials and Methods

This is a retrospective and cross-divtional study. Data were collected from two divtions; one divtion consisting of a questionnaire answered by the patients and other divtion from the patient records. The instruments used included the Glasgow Outcome Scale (GOS), SF-36 and the Hospital Anxiety and Depression Scale (HAD).

Results

The mortality rate of the patients was 46.2%. The quality of life (QOL) of the patients in most dimension were impaired and (58%) of patients had unfavourable QOL. About (37.5%) of patients with anxiety and (27.5%) had a depression. A significant correlation was found between age, GCS arrival, length of ICU stay, mechanical ventilation, VAP & ARDS and pupil reactivity with QOL, GOS, HAD-A and HAD-D (p<0.05, p< 0.001). GCS arrival a predicate factor for QOL and GOS (p <0.001, OR: 1.75, 1.94 respectively); length of ICU stay a predicate factor for QOL and GOS (p <0.05, OR : 1.11, 1.28 respectively); mechanical ventilation a predicate factor for GOS (p <0.001, OR : 1.78); ventilation associated pneumonia (VAP) & acute respiratory distress syndrome (ARDS) and pupil reactivity a predicate factor for GOS (p <0.05, OR : 1.36; p<0.001, OR: 1.94 respectively). The GCS arrival and ICU stay a predicate factor for HAD-A (p<0.05, OR: 1.73, 1.38 respectively).

Conclusion

With respect to results advanced in pre hospital, medical and surgical care for the decrease in mortality rates of Head trauma (HT), the use of trauma triage tools and strict enforcement of traffic rules are necessary.

Keywords

Introduction

Despite of an increasing body of knowledge and prevention, head trauma (HT) is a major cause of death, disability among young adults and important public health problem in the world especially in developing countries [15]. Annually more than 2.4 million referred to hospitals or deaths are related to TBI [6]. In the United States during the years 2006–2010 visits to emergency departments for TBI was about 30% [7]. Approximately 5.3 million Americans are living with disability from TBI and 1.7 million persons have a TBI annually [6,8]. HT led to 52,000 deaths in the USA and 5000 in the United Kingdom a year [9]. The direct and indirect costs of TBI annually are $76.5 billion in the USA [10].

Despite recovery in trauma systems and intensive care the problem of severe TBI remains substantial and mortality rate around 40% have been reported in various study. TBI is a progressive dysfunction that is result to biochemical and metabolic changes and consequently leads to cell death [11]. Evaluating outcome following head injury is essential to reduce complications and improve outcome, clinical equipment utilization and quality of care for head trauma patients. There is no accurate information of outcome and predictive factor following HT in Iran. To the best of our knowledge, because of the limited study of outcome following severe head trauma the aim of this study was to assess the outcome and predicting factor following severe head trauma at the Imam Khomeini Hospital affiliated with the Ilam University of Medical Sciences (west of Iran), during the year 2015.

Materials and Methods

Study Design

This is a descriptive, retrospective and cross- sectional study that was carried out at the Imam Khomeini Hospital (center of trauma and surgery) affiliated with Ilam University of Medical Sciences (west of Iran), during the year 2015. The population included all patients that to severe head trauma, admitted in the ICU ward from Feb 2012 to Feb 2013 [Table/Fig-1]. In this study we assess the outcome of the physical and psychological function and quality of life after 1 years following severe head trauma. The inclusion criteria included: 18≤ year of age, Glasgow Coma Scale (GCS) score ≤ 8 within the first 48 hour of admission, not having other trauma such as internal haemorrhage or trauma to the chest. Patients with abdominal or orthopedic trauma, gunshot injuries and absence of samples information were excluded. Data were collected from two sections; one section consisting of a questionnaire answered by the patients and other section from the patient records.

Algorithm of the study.

Instrument

The questionnaire used in this study was an author-developed scale which adopted from several previous scale in literature review. These scale include Glasgow Outcome Scale (GOS) [12] SF-36 questionnaire and the Hospital Anxiety and Depression Scale (HAD) [13]. The GOS is a multi-dimensional scale which assesses various aspects of outcome. The five categories of the original GOS scale are: Grade (I) dead; Grade (II) vegetative (absence of awareness, cannot interact, unresponsive) and Grade (III) severely disabled (conscious but disabled and dependent); Grade (IV) moderately disabled (disabled but independent) and Grade (V) good recovery (can work). GOS of I-III was considered as unfavourable outcome and GOS of IV, V was considered as favourable outcome for statistical analysis [12].

The SF-36 is a 36-item self-report questionnaire that consist of eight dimensions. Physical functioning (PF), social functioning (SF), physical role (PR), emotional role (ER), mental health (MH), vitality (VT), bodily pain (BP) and general health (GH) [13]. The reliability and validity of the SF-36 have been established in a TBI population and it has been widely used in TBI research [1,12] The Persian SF-36 questionnaire for assessment of QOL was filled. SF-36 scoring is between 0 - 100, higher scores indicate a good QOL. Scores > 60 signify good QOL and scores < 60 suggest unfavourable QOL [5].

The HAD scale was a questionnaire to measure psychological outcome. This instrument used to measure anxiety and symptoms of depression for patients without psychiatric disorders and consistent of 14 items, 7 items with anxiety (HAD-A), and 7 with symptoms of depression (HAD-D). The score ranges between 1 and 21, and scores ≥8 indicate anxiety or symptoms of depression. The validity of the HAD scale have been established in previous study. Cronbach alpha for the HAD-A was 0.83 and for the HAD-D 0.82 [14].

The purposive sampling was used. First by referring to records of the patients during the Feb 2012 to Feb 2013 admission with HT diagnosis, eligible samples were identified. The parameters demographic included age, sex, mode of injury, GCS on admission, hospital and ICU stay were recorded. After visiting the patients, the GOS, SF-36 and HAD scale were completed [Table/Fig-2].

Clinical outcome and characteristics of the patients.

ParameterSurvivors (n=49)Non Survivors (n= 42)p-value
Age (year) (Mean ±SD)34.3± 17.240.2± 19.7> 0.05
Length of ICU stay (day) (Mean ±SD)20.3± 17.911.5 ± 14.4<0.05
Length of hospital stay (day) (Mean ±SD)28.1± 19.712.4± 16.1<0.001
Admission GCS, (Mean ±SD)6 ± 1.55± 2<0.05
Mechanical ventilation (n %)47(95.9%)42 (100%)> 0.05
VAP & ARDS (n %)14 (28.6%)6 (14.3%)< 0.05
Pupil reactivity (n%)
Both reactive43 (87.7%)8 (19%)<0.05
One reactive6 (12.3%)11 (26.3%)<0.05
None reactive0.0023 (54.7%)<0.05
Sex (M/F) (n %)44/5 (89.8%/10.2%)24/18 (57.1%/42.9%)< 0.05
Mode of injury (n%)
Traffic accidents39 (79.6%)34 (81%)>0.05
Fall10 (20.4%)8 (19%)>0.05

Ethical Consideration

After getting written permission (grant no: 22/1/3180; JUN/27/2015) in addition to co-ordinating with the hospital managers, informed consents were obtained from all the participants.

Statistical Analysis

All statistical analyses were performed using SPSS, version 16 (SPSS Inc, Chicago, IL, USA). Categorical data were expressed as percentages. Values were presented as mean ±SD. One-way ANOVA, independent t-test, Pearson correlation coefficient or Spearman rank order correlation test and logistic regression analyses were performed when appropriate. The p < 0.05 was considered significant.

Results

A total of 873 patients admitted in the trauma ICU ward from Feb 2012 to Feb 2013, 198 patients were having head trauma and 91 patients were severe head trauma (GCS ≤ 8). The mortality rate of the patients was (46.2%), (6.6%) vegetative, (8.8%) sever disability, (4.4%) moderate disability and (34.1%) good recovery. A total of 49 alive patients, 2 (4.6 %) refused evaluated and 1 (2.3%) were not identified.

The QOL of the patients in most dimension were impaired and (58%) of patients had unfavourable QOL. The mean dimensions of QOL was: Physical functioning (62.2 ±15.8), Social functioning (54.4 ±24.6), Role Physical (59.3±35.6), Role Emotional (69.8 ±36.9), Mental health (53.5±23.2), Vitality (55.6±21.8), Bodily pain (55.7±26.4) and General health (58.3±16.2). About (37.5%) of patients with anxiety and (27.5%) had a depression. According to univariate analysis a significant correlation was found between age, GCS arrival, length of ICU stay, mechanical ventilation, VAP & ARDS and pupil reactivity with QOL, GOS, HAD-A and HAD-D (p <0.05, p < 0.001) [Table/Fig-3].

Correlation between different variables with QOL, HAD-A and HAD-D.

ParameterPFSFRPREMHVTBPGHGOSHAD-AHAD-D
Age*r= -0.56***r= -0.18**r= -0.32***r= -0.13***r= -0.19***r= -0.14***r= -0.17**r= -0.29**r= -0.46**r=0.45***r=0.22
Sex***r=0.13***r=0.17***r=0.11***r=0.21***r=0.14***r=0.19***r=0.16***r=0.23***r=0.19***r=0.22***r=0.21
Admission GCS*r=0.46*r=0.68**r=0.32***r=0.16**r=0.38***r=0.14***r=0.16**r=0.36*r=0.43**r=-0.49**r= -0.48
ICU stay*r= -0.66***r= -0.18*r= -0.56***r=-0.14***r= -0.22***r= -0.12***r=-0.19***r=-0.23*r= -0.45**r=0.36**r=0.49
Hospital Stay***r= -0.21***r= -0.14***r= -0.23***r=-0.16***r=-0.11***r=-0.14***r=-0.19***r=-0.21***r= -0.16***r=0.13***r=0.23
Mechanical Ventilation**r= -0.44**r= -0.32*r= -0.56***r=-0.16*r=- 0.38**r=-0.36***r=-0.18***r=-0.19**r= -0.33***r=0.23**r=0.28
VAP & ARDS**r= -0.31**r= -0.36*r=- 0.46***r=-0.16***r=-0.13***r=-0.12***r=-0.16***r=-0.21**r= -0.36***r=0.19***r=0.18
Pupil Reactivity**r=0.37***r=0.13*r=0.66***r=0.23***r=0.11***r=0.18***r=0.13***r=0.19*r=0.46***r=-0.13***r=-0.17
Mode of injury***r=0.11***r=0.16***r=0.21***r=0.23***r=0.14***r=0.19***r=0.13***r=0.15***r=0.09***r=0.24***r=0.21

*p<0.001, **p< 0.05, ***p>0.05


The logistic regression analysis show that GCS arrival a predicate factor for QOL and GOS (p <0.001, OR : 1.75, 1.94 respectively), length of ICU stay a predicate factor for QOL and GOS (p <0.05, OR : 1.11, 1.28 respectively), mechanical ventilation a predicate factor for GOS (p <0.001, OR : 1.78), VAP & ARDS and pupil reactivity a predicate factor for GOS (p <0.05, OR : 1.36; p<0.001, OR : 1.94 respectively). The GCS arrival and ICU stay a predicate factor for HAD-A (p<0.05, OR: 1.73, 1.38 respectively). The Wald test show that GCS arrival, pupil reactivity, ICU stay, mechanical ventilation and VAP & RDS are the most important variables in prediction respectively [Table/Fig-4,5].

Logistic regression analysis between different variables with QOL and GOS.

ParameterQOLGOS
BSEWaldpOdds RatioBSEWaldpOdds Ratio
Age0.740.172.140.070.780.0230.100.430.8490.13
Sex0.020.750.120.850.160.0410.480.010.840.45
Admission GCS1.640.1213.46<0.0011.751.760.1325.32<0.0011.94
ICU stay- 1.230.4911.470.031.11-1.840.110.360.031.28
Hospital stay-0.540.110.970.120.14-0.660.021.450.1630.01
Mechanical ventilation-0.010.231.360.070.02-1.840.1214.56<0.0011.78
VAP & ARDS-0.410.340.960.090.12-1.630.0310.340.041.36
Pupil reactivity0.010.011.460.280.031.110.1417.28<0.0011.94
Mode of injury0.010.450.230.650.260.220.320.430.8520.06

Logistic regression analysis between different variables with HAD-A and HAD-D.

ParameterHAD-AHAD-D
BSEWaldpOdds RatioBSEWaldpOdds Ratio
Age0.640.121.140.170.010.010.0140.130.040.20
Sex0.040.130.020.890.040.130.1890.210.640.03
Admission GCS-1.160.1214.460.031.73-0.760.0261.420.580.03
ICU stay-1.120.369.470.051.380.940.1431.360.090.07
Hospital stay0.140.030.270.620.030.360.1210.140.660.02
Mechanical ventilation0.030.060.360.170.011.040.0279.140.050.86
VAP & ARDS0.210.120.360.990.020.620.0320.030.940.01
Pupil reactivity-0.020.010.040.780.01-0.100.1130.020.830.12
Mode of injury0.020.050.100.650.140.030.1210.030.960.01

Discussion

Severe TBI is a major challenging problem in neurosurgery care. Severe TBI defined as head injury associated with a GCS score of 3 to 8 at 6 hour after injury or deterioration to GCS of 8 or less within 48 hour of injury and lasting for at least 6 hour [2].

Our result show that male gender, young adult and traffic accidents in the HT patients are more evident that is consistent with previous study [15,16]. This finding supports gender-related differences in outcome after HT and the hormonal influence in injured brain. Women are less likely than men to develop complications which are due to both a harms effect of testosterone and a beneficial effect of female sex hormones estrogens [17]. The mortality rate in this study was 46.2%, which this rate was 35.1% in Australia, 32% in Northern Ireland, 12% in Taiwan and 29% in Tunisia [18,19]. In this study the QOL of the patients in most dimension were impaired and most of the patients had unfavourable QOL. Patients who have experienced HT will have a different QOL than the general population due to residual impairments from this type of injury [20]. Settervall et al., conclude that participant one year following severe HT had the high scores in the social, emotional and general health status. The lowest scores were observed in the physical, pain and vitality aspects respectively [20]. In a qualitative study patients complained of changes in physical appearance due to scars or overweight, communication difficulties, loss of direction in life, loss of the conditions they had before the trauma and negative reactions in social interactions [21].

Ringdal et al., found patients with head injuries had lower scores in social functioning and mental health. This finding is consistent with our result and previous research which had shown that severe head injury could be a predictor of poor QoL in such patients [14]. MacKenzie et al., in the United States in relation to the differences in SF-36 domains between patients with different HT severities concluded that patients with injuries scored as 5 or 6 had lower scores on the SF-36 domains than patients with injuries scored equal to or lower than [22]. In the study by MacKenzie et al., on patients with different HT severities, in relation to the differences in SF-36 aspects was observed that patients with GCS score of 5 or 6 had lower scores on the SF-36 aspects than patients with GCS score equal or lower [22].

About half of patients in this study have anxiety and depression. Studies show a high level of psychological disabilities after trauma in ICU patients [23,24]. In addition to, HT was associated with a higher level of anxiety, and psychological distress [14]. Fann et al., in patients with HT found 26% had major depression, and 24% had anxiety disorder.

The most of previous research have shown that arrival GCS is a reliable predictor of final outcome [25,26]. In our study, worse outcome was significantly increasing with decreasing GCS. GCS was an independent risk factor that predicts mortality in the ICU trauma patients. Giacino and Kazanis concluded that GCS score in the first 24 hours was critical in predicting vital signs and functional results during the 2-3 day after the injury [4]. Studies has also show that impaired papillary reactivity have a good documented correlation with unfavourable outcome, duration of mechanical ventilation and length of stay [14] have an impact on the patients’ outcome and QoL after an ICU stay [14,27] that is consistent with this study.

TBI consists of two separate forms: primary and secondary brain injury. The primary brain injury regarding the damage caused by the impact accident, leads to skull fracture, vascular or parenchymal damages and concussion. The primary brain injury consequently led to increase in brain bleeding and increased intracranial pressure. The secondary brain injury that occurred after hours and days following primary brain injury is the result of a complex process. The secondary injury occurred by different factors such as hypoglycaemia, hyperglycaemia, hypoxia, hypotension and anaemia. Complication due to secondary brain injury included haematomas, vasospasm, hydrocephalus, cerebral edema, intracranial hypertension, infection, and seizures [28]. In this study a large group of ICU trauma patients were evaluated. On the other hand data were collected from Level 1 trauma center that provide the highest level of surgical care which this strength point of this study.

Limitations

We recognize some limitations of the study. First: the lack of administrative database of patient’s record. Second: retrospective design of studies. Third: data collected from single center because it is single trauma center which this subject can lead to bias.

Conclusion

To conclude, according to mortality rate in this study, impair in all dimension of QOL and significant correlation between different variables with QOL, HAD-A and HAD-D, the following points is necessary: develop in pre hospital, medical and surgical care for the decrease in mortality rates of HT; the use of trauma triage tools; strict enforcement of traffic rules. Experienced medical personnel, facilities and adequate equipment and standard protocols can improve outcome in HT patients.

*p<0.001, **p< 0.05, ***p>0.05

References

[1]Diaz AP, Schwarzbold ML, Thais ME, Hohl A, Bertotti MM, Schmoeller R, Psychiatric disorders and health-related quality of life after severe traumatic brain injury: A Prospective Study Journal of Neurotrauma 2012 29:1029-37.  [Google Scholar]

[2]Skolnick BE, Maas AL, Narayan RK, Van der Hoop RG, MacAllister T, Ward JD, A clinical trial of progesterone for severe traumatic brain injury N Engl J Med 2014 371(26):2467-76.  [Google Scholar]

[3]Battista AD, Godfrey C, Soo C, Catroppa C, Anderson V, Depression and health related quality of life in adolescent survivors of a traumatic brain injury: a pilot study PLOS ONE 2014 9(7):1-10.e101842  [Google Scholar]

[4]Kavusipur S, Shirazi ZR, Ardekani Z, Omidi S, Prediction of consciousness recovery in coma after traumatic brain injury by disorder of consciousness scale (DOCS) Bull Emerg Trauma 2013 1(2):86-89.  [Google Scholar]

[5]Yousefzade-Chabok SH, Kapourchali SR, Reihanian Z, Kazemnezhad Leili E, Dehnadi Moghadam A, Mohtasham Amiri Z, Predictors of chronic physical and mental quality of life following traumatic brain injury Health 2014 6:496-503.  [Google Scholar]

[6]Silver JM, Kramer R, Greenwald S, Weissman M, The association between head injuries and psychiatric disorders: findings from the new haven NIMH epidemiologic catchment area study Brain Injury 2001 15(11):935-45.  [Google Scholar]

[7]Marin JR, Weaver MD, Yealy DM, Mannix RC, Trends in visits for traumatic brain injury to emergency departments in the United States JAMA 2014 311(18):1917-19.  [Google Scholar]

[8]Wright DW, Yeatts SD, Silbergleit R, Palesch YY, Hertzberg VS, Frankel M, Very early administration of progesterone for acute traumatic brain injury N Engl J Med 2014 371(26):2457-66.  [Google Scholar]

[9]Townend WJ, Guy MJ, Pani MA, Martin B, Yates DW, Head injury outcome prediction in the emergency department: a role for protein S-100B J Neurol Neurosurg Psychiatry 2002 73:542-46.  [Google Scholar]

[10]Coronado VG, McGuire LC, Sarmiento K, Trends in traumatic brain injury in the U.S. and the public health response: 1995-2009 J Safety Res 2012 43:299-307.  [Google Scholar]

[11]Roozenbeek B, Maas AI, Menon DK, Changing patterns in the epidemiology of traumatic brain injury Nat Rev Neurol 2013 9:231-36.  [Google Scholar]

[12]Nichol AD, Higgins AM, Gabbe BJ, Murray LJ, Cooper DJ, Cameron PA, Measuring functional and quality of life outcomes following major head injury: Common scales and checklists Injury Int J Care Injured 2010 doi:10.1016/j.injury.2010.11.047  [Google Scholar]

[13]Snaith RP, Zigmond AS, The hospital anxiety and depression scale Acta Psychiatr Scand 1983 67:361-70.  [Google Scholar]

[14]Ringdal M, Plos K, Lundberg D, Johansson L, Bergbom I, Outcome after injury: memories, health-related quality of life, anxiety, and symptoms of depression after intensive care J Trauma 2009 66(4):1226-33.  [Google Scholar]

[15]Magnotti LJ, Fischer PE, Zarzaur BL, Fabian TC, Croce MA, Impact of gender on outcomes after blunt injury: a definitive analysis of more than 36, 000 trauma patients Journal of the American College of Surgeons 2008 206(5):984-92.  [Google Scholar]

[16]Brattström O, Granath F, Rossi P, Oldner A, Early predictors of morbidity and mortality in trauma patients treated in the intensive care unit Acta Anaesthesiol Scand 2010 54:1007-17.  [Google Scholar]

[17]Mondello S, Cantrell A, Italiano D, Vincenzo Fodale V, Mondello P, Ang D, Complications of trauma patients admitted to the ICU in level I academic trauma centers in the United States BioMed Research International 2014 2014(473419):1-7.  [Google Scholar]

[18]Myburgh JA, Cooper DJ, Finfer SR, Venkatesh B, Jones D, Higgin S, Epidemiology and 12-month outcomes from traumatic brain injury in Australia and New Zealand J Trauma 2008 64(4):854-62.  [Google Scholar]

[19]Joosse P, Smit G, Arendshorst RJ, Soedarmos S, Ponsen KJ, Goslings JC, Outcome and prognostic factors of traumatic brain injury. a prospective evaluation in a Jakarta university hospital J Clin Neurosci 2009 16(7):925-28.  [Google Scholar]

[20]Costanti Settervall CH, Cardoso de Sousa RM, Glasgow coma scale and quality of life after traumatic brain injury Acta Paul Enferm 2012 25(3):364-70.  [Google Scholar]

[21]Mellick D, Gerhart KA, Whiteneck GG, Understanding outcomes based on the post-acute hospitalization pathways followed by persons with traumatic brain injury Brain Inj 2003 17(1):55-71.  [Google Scholar]

[22]MacKenzie EJ, McCarthy ML, Ditunno JF, Forrester-Staz C, Gruen GS, Marion DW, Using the SF-36 for characterizing outcome after multiple trauma involving head injury J Trauma 2002 52(3):527-34.  [Google Scholar]

[23]Sluys K, Haggmark T, Iselius L, Outcome and quality of life 5 years after major trauma J Trauma 2005 59:223-32.  [Google Scholar]

[24]Scragg P, Jones A, Fauvel N, Psychological problems following ICU treatment Anaesthesia 2005 56:9-14.  [Google Scholar]

[25]Bahloul M, Chelly H, Hmida MB, Kallel H, Prognosis of traumatic head injury in South Tunisia: a multivariate analysis of 437 cases J Trauma 2004 57:e255-61.  [Google Scholar]

[26]Boto GR, Gomez PA, Cruz JDL, Loboto RD, Severe head injury and risk of early death J Neurol Neurosurg Psychiatry 2006 77:e1054-59.  [Google Scholar]

[27]Hefny AF, Idris K, Eid HO, Abu-Zidan FM, Factors affecting mortality of critical care trauma patients African Health Sciences 2013 13(3):731-35.  [Google Scholar]

[28]Alvis-Miranda HR, Navas-Marrugo SZ, Velasquez-Loperena RA, Adie-Villafañe RJ, Velasquez-Loperena D, Castellar-Leones SM, Effects of glycaemic level on outcome of patients with traumatic brain injury: a retrospective cohort study Bull Emerg Trauma 2014 2(2):65-71.  [Google Scholar]