Literature DB >> 23463257

Impact of concomitant injuries on outcomes after traumatic brain injury.

Johannes Leitgeb1, Walter Mauritz, Alexandra Brazinova, Marek Majdan, Ingrid Wilbacher.   

Abstract

BACKGROUND: Patients with traumatic brain injury (TBI) frequently have concomitant injuries; we aimed to investigate their impact on outcomes.
METHODS: Between February 2002 and April 2010, 17 Austrian centers prospectively enrolled 863 patients with moderate and severe TBI into observational studies. Data on accident, treatment, and outcomes were collected. Patients who survived until intensive care unit (ICU) admission and had survivable TBI were selected, and were assigned to "isolated TBI" or "TBI + injury" groups. Six-month outcomes were classified as "favorable" if Glasgow Outcome Scale (GOS) scores were five or four, and were classified as "unfavorable" if GOS scores were three or less. Univariate statistics (Fisher's exact test, t test, χ(2)-test) and logistic regression were used to identify factors associated with hospital mortality and unfavorable outcome.
RESULTS: Of the 767 patients, 403 (52.5 %) had isolated TBI, 364 (47.5 %) had concomitant injuries. Patients with isolated TBI had higher mean age (53 vs. 44 years, P = 0.001); hospital mortality (30.0 vs. 27.2 %, P = 0.42) and rate of unfavorable outcome (50.4 vs. 41.8 %, P = 0.02) were higher, too. There were no significant mortality differences for factors like age groups, trauma mechanisms, neurologic status, CT findings, or treatment factors. Concomitant injuries were associated with higher mortality (33.3 vs. 12.5 %, P = 0.05) in patients with moderate TBI, and were significantly associated with more ventilation, ICU, and hospitals days. Logistic regression revealed that age, Glasgow Coma Scale score, pupillary reactivity, severity of TBI and CT score were the main factors that influenced outcomes.
CONCLUSIONS: Concomitant injuries have a significant effect upon the mortality of patients with moderate TBI. They do not affect the mortality in patients with severe TBI.

Entities:  

Mesh:

Year:  2013        PMID: 23463257      PMCID: PMC3631113          DOI: 10.1007/s00402-013-1710-0

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


Introduction

A significant number of patients with traumatic brain injury (TBI) have concomitant injuries. These injuries may vary in severity, and their impact may vary accordingly. It has been reported that 40 % of the patients with severe TBI die from non-neurological causes, with higher incidence in patients with multiple injuries [1]. A German analysis found that mortality after head injury was 5 % higher in patients with severe concomitant injuries [2]. Another study reported that in patients with epidural hematoma (EDH) outcomes were not worsened by the presence extracranial injuries [3]. The goal of this study was to investigate the influence of concomitant injuries upon the outcomes of patients with moderate to severe TBI. Our hypothesis was that concomitant injuries would increase mortality after TBI.

Patients and methods

Between 2001 and 2010, the International Neurotrauma Research Organization (INRO, founded 1999; based in Vienna, Austria) coordinated two projects that focused on Austrian patients with TBI. Databases developed by INRO were used to collect data for both projects. In the first project epidemiology and hospital treatment of patients with severe TBI as well as the effects of guideline-based treatment were analyzed [4]. This project started in March 2002; five centers enrolled 415 patients until June 2005. The second project focused on prehospital and early hospital management of patients with moderate and severe TBI. It started in March 2009; 16 centers enrolled 448 patients until April 2010. Both projects were done with approval of the local Ethical Committees.

Centers

Seventeen Austrian centers participated in these projects, all were of tertiary care level and were able to provide guideline-based [5] patient management. The changes made during the revisions of these guidelines in 2000 and 2007, respectively, were taken into account. The number of patients enrolled by these centers (median: 28, IQR 21–65, range 3–150) varied considerably, as four centers participated in both projects, and some centers joined the second project with just few weeks remaining for patient inclusion. Hospital mortality for patients with severe TBI was significantly lower during the 2009–2010 projects (28 vs. 37 %; P = 0.005). However, Glasgow Coma Scale (GCS) score was significantly lower (5.4 vs. 5.9; P = 0.022) and Abbreviated Injury Score (AIS) for the region “head” was significantly higher (4.2 vs. 3.9; P < 0.001) in the patients from the 2002–2005 projects; thus, “period of enrollment” was not significantly associated with outcomes in the logistic regression analysis.

Treatment process

Treatment in the field was provided by emergency physicians. All patients had quick examination with documentation of vital signs. Rapid sequence intubation facilitated by hypnotics and relaxants, ventilation, treatment of hemorrhage, and fluid resuscitation was done as appropriate. After hospital admission each patient was examined by a trauma team (anesthesiologists, trauma surgeons, and/or neurosurgeons, radiologists, nurses), and a computed tomography (CT) scan was done. The patients then underwent surgery as appropriate and/or were admitted to the intensive care unit (ICU). Intensive care was provided by anesthesiologists in cooperation with neuro or trauma surgeons.

Data collection

Basic demographic data of the patient, cause and location of trauma, prehospital status and treatment, mechanism and severity of trauma [AIS, Injury Severity Score (ISS)], results of CT scans, results of lab testing, and data on surgical procedures and outcomes was recorded prospectively. Prehospital data were documented by paramedics and then transferred into the databases. Summarized CT findings [i.e., data on basal cisterns (open/compressed/absent), midline shift, main findings (edema, hematoma, contusions, etc.), Marshall classification] were entered into a separate CT page in the databases. No central review of CT scans was done in the first project. Central review of the CT scans was done in the second project; a radiologist and a trauma surgeon checked the accuracy of the data entered into the database. Data on duration of various treatments, on complications, and on outcomes were collected at discharge from the ICU, at hospital discharge, and at 6 months after injury. The Glasgow Outcome Scale (GOS) score at 6 months after injury was evaluated by phone calls to the patients or their relatives. Data were collected by local research fellows. Data quality was monitored by INRO project managers. They reported data problems to the local researchers who then submitted the missing or corrected values. Personal data protection was observed and the identifiers were kept separately from the data.

Data analysis

All patients who had an AIS “head” (AISH) < 6 and survived at least until admission to the ICU were included. Data on trauma mechanism, trauma severity, CT findings, treatment, and outcomes were retrieved for each patient. The 6-point Rotterdam CT score [6] was used to classify CT findings and to calculate probability of mortality according to this score. The prognostic scores developed by Hukkelhoven et al. [7] were used to estimate probability of hospital death (P D) and probability of unfavorable long-term outcome (P U). To describe long-term outcomes the GOS [8] was used. “Favorable outcome” was defined as a GOS score of five or four; “unfavorable outcome” was defined as a GOS score of three or less at 6 months after trauma. Patients were assigned to the group “TBI + injury” if they had one or more extracranial injuries with an AIS > 2. Patients were assigned to the group “TBI isolated” if they had no extracranial injuries with an AIS > 2. The differences between these two groups of patients were analyzed.

Statistical analysis

Analyses were done using the software provided by P. Wessa (Free Statistics Software version 1.1.23-r6, http://www.wessa.net). Two-tailed t test, Fisher’s exact test, and χ2-test were done as appropriate to identify differences between the groups. To check for associations with outcomes we constructed logistic regression models for hospital death and favorable long-term outcome where outcomes were corrected for confounders, with backward exclusion of non-significant (P > 0.1) parameters. Age, gender, trauma mechanism, number of injured body regions with AIS > 2, ISS, AISH, GCS score, pupillary reactivity, presence of hypoxia and hypotension, Rotterdam CT score, and requirement of neurosurgery or extracranial surgery were considered possible confounders. The models were calculated for both groups individually, and for the whole sample as well. Data are presented as means with standard deviations, or as proportions. A P value of <0.05 was considered statistically significant.

Results

There were 863 data sets in the database. Of these, hospital outcomes were missing in 17 (1.9 %) patients, 10 (1.2 %) patients died prior to ICU admission, data on additional injuries were missing in 14 (1.6 %) patients, and 55 (6.4 %) had an AISH of six. This left 767 patients for analysis; of these, 403 (52.5 %) had isolated TBI, and 364 (47.5 %) had concomitant injuries. There was no significant “center effect”; all centers that enrolled >15 patients had mortality rates within the expected ranges. Values were outside these ranges in two centers that enrolled fewer patients, but this could be an effect of the low number of patients.

Demographic data (Table 1)

Hospital mortality was 2.8 % lower in patients with concomitant injuries (n.s.). In both groups, most patients were male. Mean age was significantly higher in patients with isolated TBI (P < 0.001). It was also higher in females from both groups (n.s.). A significant (P < 0.01) increase in hospital mortality was seen with increasing age, but there was no difference in mortality rates between the groups. With regard to trauma mechanism falls and traffic-related accidents were most common in both groups. There were no significant differences in mortality rates for any of the mechanisms. Gender, age and trauma mechanism The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries TBI traumatic brain injury

Trauma and TBI severity (Table 2)

The ISS was significantly higher in patients with concomitant injuries (P < 0.001). There was an increase in the severity of concomitant injuries for increasing values of AISH: the values for ISS (calculated without AISH) were 19.7 ± 8.6 (AISH = 2), 22.8 ± 11.0 (AISH = 3), 20.0 ± 10.3 (AISH = 4), and 27.9 ± 16.6 (AISH = 5), respectively (P = 0.1, n.s.). Mean AISH and mean GCS scores were not different. Within each group ISS and AISH were significantly higher and GCS scores were significantly lower in non-survivors. In both groups, most of the patients had severe TBI: only 17/767 [2.2 %; if (AISH > 2) is used as definition] or 95/767 [12.4 %; if (GCS score >8) is used as definition] of the patients had moderate TBI. In patients with AISH = 2 mortality was significantly lower in those with isolated TBI. Increasing GCS scores were associated with significant decreases in mortality rates in both groups. In both groups, patients with reactive pupils had significantly lower mortality rates but there were no significant differences in mortality rates between the groups. The same was true for absence of prehospital hypotension and hypoxia, respectively. Incidences of aspiration, use of anticoagulants, and comorbidities were not significantly different between the groups, and these had no significant effects upon mortality. The predicted P D was 29.2 ± 20.5 % for patients with concomitant injuries, and was 33.4 ± 21.5 % for patients with isolated TBI (P = 0.06), and the P U values were 50.9 ± 24.0 % and 54.9 ± 24.6 %, respectively (P = 0.02). Trauma severity The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries TBI traumatic brain injury; AIS Abbreviated Injury Score for the region “head”; ISS Injury Severity Score; GCS Glasgow Coma Scale

CT findings

Mortality increased significantly with increasing Rotterdam CT scores (P < 0.001), but there were no significant mortality differences between the groups. The mortality rates were lower than those predicted by the Rotterdam score; a significant correlation (y = 15.963x − 2.388; R 2 = 0.992; P = 0.03) between observed and predicted values was found for patients with isolated TBI only. With regard to predominant lesions, subdural hematoma was observed most frequently, followed by contusion, EDH and subarachnoid hemorrhage. The overall distribution of predominant lesions was not significantly different between the groups. There were no differences in mortality between the two groups within the different classes of the Marshall CT score (Table 2).
Table 2

Trauma severity

TBI + injuryTBI isolatedTotal P value
MeanSDMeanSDMeanSD
ISS34.411.018.25.525.911.8
AISH 3.950.664.060.684.010.67
GCS score5.622.685.572.775.592.72
AISH n % mort n % mort n % mort
 2933.3812.51723.50.05
 36214.5586.912010.80.24
 423119.924024.247122.10.27
 56266.19759.815962.30.50
 Total36427.240330.076728.70.42
GCS score
 313241.714843.928042.90.72
 42429.23961.56349.20.02
 52927.63423.56325.40.7
 65729.85320.811025.50.38
 74114.64112.28213.40.99
 8385.33619.47412.20.08
 9–12439.3521.9955.30.17
 Total36427.240330.076728.70.42
Marshall score
 Diffuse injury 14311.6195.3629.70.44
 Diffuse injury 29724.77313.717020.00.08
 Diffuse injury 33935.92638.56536.90.83
 Diffuse injury 4560.0366.7862.5
 Evacuated lesion9032.217335.326334.20.62
 Non-evacuated lesion8725.310732.719429.40.26
 Not determined366.72100.0580.0
 Total36427.240330.076728.70.42

The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries

TBI traumatic brain injury; AIS Abbreviated Injury Score for the region “head”; ISS Injury Severity Score; GCS Glasgow Coma Scale

Treatment factors (Table 3)

Most patients were admitted directly to the study centers; mortality was lower in the 125 patients (16.3 %) with indirect transfer (P = 0.002). Air and ground transport were associated with comparable mortality rates. Patients who required prehospital airway management had a significantly (P = 0.008) higher mortality. There were no differences regarding the intervals between admission and start of CT scan, and between start of CT scan and start of surgery. The majority of the patients (n = 504; 65.7 %) were managed conservatively and had either no surgical procedure or insertion of an ICP monitoring device only. Mortality was lower in the patients who had primary craniectomy than in those who had craniotomy (P = 0.053). The requirement for extracranial surgery was associated with significantly higher mortality in patients with concomitant injuries. Duration of ventilation (12.8 ± 11.2 vs. 10.1 ± 10.8 days), ICU stay (22.0 ± 18.5 vs. 17.4 ± 16.3 days), and hospital stay (42.0 ± 39.4 vs. 28.2 ± 25.6 days) were significantly shorter in survivors with isolated TBI than in those with concomitant injuries. No significant differences regarding these parameters were found in non-survivors. Treatment The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries TBI traumatic brain injury; ICP intracranial pressure; ASDH acute subdural hematoma; EDH epidural hematoma; ICH intracerebral hemorrhage

Concomitant injuries (Table 4)

Injuries to the thoracic region and to extremities were associated with higher, isolated injuries to the face with lower mortality. None of the observed mortality rates was significantly different from the average mortality for the whole group. The overall incidences of associated injuries were: 191 (24.9 %) patients had thoracic, 166 (21.6 %) had facial, 154 (20.1 %) had extremity, 58 (7.6 %) had spinal, 20 (2.6 %) had abdominal, and 6 (0.8 %) had external injuries. Of the 58 spinal injuries, 20 (34.5 %; 2.6 % of all) were cervical, 28 (48.3 %; 3.7 % of all) were thoracic, and 10 (17.2 %; 1.3 % of all) were lumbar spine injuries. Concomitant injury pattern All injuries or combinations of injuries with an incidence of >2 % in the 364 patients with traumatic brain injuries and concomitant injuries are listed

Treatment of concomitant injuries (Table 5)

More than half of the injuries did not require surgical interventions. The number of surgical procedures required was not significantly associated with mortality rates. Orthopedic procedures involving extremities or pelvic region were done most frequently. Abdominal surgery and thoracic surgery were associated with higher mortality rates. Surgery in 364 patients with TBI plus concomitant injuries SP surgical procedures; % of all percentage of surgical procedures in the 364 patients with traumatic brain injury and concomitant injuries; % of SP percentage of all surgical procedures

Outcomes

The observed hospital mortality was 27.2 % for patient with concomitant injuries and 30.0 % for patients with isolated TBI, while P M values were 29.2 ± 20.5 % and 33.4 ± 21.5 %, respectively. The observed vs. expected ratio (O/E ratio) for mortality was 0.93 for patients with concomitant injuries (=25 unexpected survivors), the O/E ratio for mortality was 0.90 for patients with isolated TBI (=40 unexpected survivors). Main causes of death in patients with concomitant injuries were brain death (51.9 %), cardiovascular problems (31.5 %), multiple organ failure (9.8 %), major hemorrhage (4.4 %), and acute respiratory distress syndrome (2.2 %). In patients with isolated TBI brain death was observed significantly more frequently (65.1 %, P = 0.04), and the rates of cardiovascular death (25.7 %) and multiple organ failure (5.5 %) were lower. Long-term outcome was unknown in 28 patients (14 from each group). Favorable outcome was observed in 54.4 % (198/364) of patients with concomitant injuries and in 46.2 % (186/403) of the patients with isolated TBI; this difference was significant (P = 0.02). Unfavorable long-term outcome was observed in 41.8 % (152/364) and 50.4 % (203/403), respectively; this difference was also significant (P = 0.02). The P U predicted by the Hukkelhoven score was 50.9 ± 24 % for patients with associated injuries, and was 54.1 ± 24.1 % for patients with isolated TBI. The O/E ratio for unfavorable outcome was 0.82 for patients with concomitant injuries (=66 patients with unexpected favorable outcome), the O/E ratio for unfavorable outcome was 0.93 for patients with isolated TBI (=28 patients with unexpected favorable outcome). Factors that significantly influenced outcomes are listed in Table 6. Age, GCS score, pupillary reactivity, AISH and CT score were significant in all or almost all analyses. Isolated TBI was significantly associated with unfavorable long-term outcome. Major neurosurgery was associated with higher mortality in patients with isolated TBI, ISS was associated with worse long-term outcomes in patients with concomitant injuries.
Table 6

Factors that significantly (P < 0.01) influenced the outcomes

Hospital deathLong-term outcome
TBI isolatedParameter P valueParameter P value
Age< 0.001Age< 0.001
AISH < 0.001AISH < 0.001
Pupils0.002GCS score< 0.001
GCS score< 0.001CT score< 0.001
CT score0.007
Neurosurgery0.003
TBI + injury
Age< 0.001Age< 0.001
AISH 0.004Pupils< 0.001
Pupils< 0.001GCS score< 0.001
GCS score0.005ISS< 0.001
All patients
Age< 0.001Age< 0.001
AISH < 0.001Pupils0.002
Pupils< 0.001GCS score< 0.001
GCS score< 0.001CT score0.001
CT score< 0.001Isolated TBI0.007

AIS Abbreviated Injury Score for the region “head”; GCS Glasgow Coma Scale; CT computed tomography; ISS injury severity score; TBI traumatic brain injury

Factors that significantly (P < 0.01) influenced the outcomes AIS Abbreviated Injury Score for the region “head”; GCS Glasgow Coma Scale; CT computed tomography; ISS injury severity score; TBI traumatic brain injury

Discussion

The overall rates of hospital mortality and unfavorable outcomes seen in this study are comparable to the outcomes reported for European centers [9]. With regard to factors influencing outcomes, age is one of the most important. This has been demonstrated in the large study done by Hukkelhoven et al. [10], and by a number of other studies. The significant effect of age has been confirmed by our results. In addition, the effects of GCS scores on outcomes after TBI have been proven beyond doubt [11]. This association was also found in our study. In the same analysis, one or both unreactive pupils were significantly associated with poor outcome [11]. This association was also confirmed in our multivariate analysis. In this study, monitoring of ICP was done in only 70 % of the patients with severe TBI. In some patients, this was probably due to poor prognosis. A previous study involving 82 Austrian ICUs found that ICP monitoring was not done in patients whose prognosis was either poor or good; the highest rates of ICP monitoring were found in the patients with an “intermediate” prognosis [12]. A recent study from the Netherlands reported that ICP was monitored in only 46 % of patients with severe TBI; higher age was one of the reasons not to monitor ICP [13]. One of the earlier studies on TBI and concomitant injuries [14] found that only 42 % of the patients had isolated TBI, and that concomitant injuries had effects on long-term outcomes only if they involved at least two or more body regions. A Swiss study [3] reported that 59 % of their 139 patients with EDH had isolated TBI, and that concomitant injuries had no effects on outcomes, and a study from the Germany [15] came to the same conclusion. In their analysis of a large German database, Lefering et al. [2] found significantly increased mortality rates in patients whose torso or extremity injuries had an AIS of five or six. No such effect was observed in our study, but this could be due to the much smaller sample of patients. Thus, most studies concluded that concomitant injuries had either no effect on outcomes, or had effects only if the injuries were of high severity. This is in accordance with our results; isolated TBI was actually associated with worse outcomes. A similar result was found in the study by Martins et al. [16]; in their study, mortality was significantly higher in patients with isolated TBI (37.6 vs. 27.6 %; P = 0.004). In our study, mortality was significantly higher in the patients with concomitant injury and an AISH of two. This could be an effect of the fact that only patients who were admitted to the ICU were included. Thus, ICU admission of patients with an AISH of two may have been due to extracranial rather than intracranial injuries. However, it seems obvious that the effect of extracranial injuries would be more pronounced in patients with low severity of TBI. In a study on mild TBI [17] significant effects of extracranial injuries on duration and outcomes of rehabilitation were found. Our study found a high incidence (21.6 %) of facial trauma. It has been suggested that facial fractures protect the brain from severe injury, but this has been proven wrong [18]: of the 3,040 patients with TBI, 848 (27.9 %) were found to have facial fractures, and TBI severity was not different between the patients with and without facial trauma. The rates of additionally injured regions were comparable to those published by Martins et al. [16]. Compared to our data, Rickels et al. [19] found higher rates of facial trauma (58 %) and lower rates for all other concomitant injuries; however, this study included mostly patients with mild TBI. Regarding causes of death Kemp et al. [1] compared data from 54 non-survivors with isolated TBI to those from 81 non-survivors with concomitant injuries. Their data are not fully comparable to those from our study because they also included patients with non-survivable TBI; they found, however, that brain death occurred more frequently in cases of isolated TBI, and that respiratory failure occurred significantly more frequently in patients with multiple trauma (43.2 vs. 20.4 %). A comparable pattern was seen in our study. Contrary to previous reports, we found that indirect transfer was associated with lower mortality rates. Hartl et al. [20] reported that indirect transfer was associated with a 50 % increase in mortality for patients with severe TBI. The difference may be due to the low number of patients with indirect transfer in our study.

Limitations of the study

The scores used to estimate P M and P U have not been validated for our study population. These scores have been created from the international and North American data from the tirilazad trial [21, 22], and have been validated against the core data set of the European Brain Injury Consortium (EBIC) survey [23] and data from the Traumatic Coma Data Bank [24]. It is quite likely that our patients are comparable to those from the EBIC centers and the international arm of the tirilazad trial. There could, however, be subtle differences, and the O/E ratios estimated for our groups of patients may be incorrect.

Conclusions

The study showed that concomitant injuries were found in nearly half of the patients. Hospital mortality was 2.8 % higher, and the rate of unfavorable outcome was 8.6 % higher in patients with isolated TBI. Concomitant injuries were associated with significantly higher mortality in the few patients with AISH = 2. Concomitant injuries were also associated with longer duration of ventilation, and longer ICU and hospital stay. We were unable to find any significant effects of treatment. The worst outcomes of patients with isolated TBI were mainly due to a significantly higher mean age. The main factors that influenced the outcomes were age, GCS score, pupillary reactivity, AISH and CT score.
Table 1

Gender, age and trauma mechanism

TBI + injuryTBI isolatedTotal P value
n % mort n % mort n % mort
Patients36427.240330.076728.70.42
 Female8527.111733.320230.7
 Male27927.228628.756528.0
 % female232926
AgeMeanSDMeanSDMeanSD
 Females45.923.360.822.454.523.9
 Males43.020.449.521.446.321.1
 All patients43.621.152.822.248.522.2
Trauma mechanism n % mortn% mortn% mort
 Fall < 3 m5236.518041.723240.50.52
 Fall > 3 m5632.12317.47927.80.27
 Traffic-related19723.99921.229623.00.66
 Sports-related2512.0339.15810.30.99
 Work-related/no falls728.61118.21822.20.99
 Violence333.31435.71735.30.99
 Other1931.62123.84027.50.73
 Unknown560.02227.32733.30.30
 Total36427.240330.076728.70.42
Type of trauma
 Blunt32728.137529.970229.10.62
 Penetrating2718.51844.44528.90.09
 Unknown1020.01010.02015.00.99
 Total36427.240330.076728.70.42

The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries

TBI traumatic brain injury

Table 3

Treatment

TBI + injuryTBI isolatedTotal P value
n % mort n % mort n % mort
Indirect transfer
 No32129.332132.464230.80.44
 Yes4311.68220.712517.60.23
Mode of transport
 Air17526.313926.631426.40.99
 Ground17729.924833.542532.00.46
 Unknown120.0166.3283.60.99
Prehospital intubation
 No7621.114822.322421.90.87
 Yes28828.825534.554331.50.17
Neurosurgery
 No neurosurgery10727.112524.823225.90.76
 ICP monitoring only16724.610527.627225.70.57
 ASDH evacuation4533.312139.716638.00.48
 EDH evacuation2825.02729.65527.30.77
 ICH evacuation540.0911.11421.40.51
 >1 lesion evacuated742.91414.32123.80.28
 Primary decompressive surgery540.02100.0757.10.43
 Total36427.240330.076728.70.42
Secondary decompressive surgery650.0560.01154.50.86
Technique
 Decompressive surgery1154.5862.51957.90.99
 Craniectomy3627.86328.69928.30.99
 Craniotomy4330.210237.314535.20.45
 Total9030.217337.326328.70.94
ICP monitoring
 No12428.217725.430126.60.60
 Yes24026.722633.646630.00.11
Extracranial surgery
 No20128.937632.257731.00.45
 Yes16325.2270.019021.60.002

The P value relates to the mortality difference between patients with isolated TBI and patients with concomitant injuries

TBI traumatic brain injury; ICP intracranial pressure; ASDH acute subdural hematoma; EDH epidural hematoma; ICH intracerebral hemorrhage

Table 4

Concomitant injury pattern

OutcomeAliveDeadTotal% of all% mort
n n n
Injured body regions
 Face55136818.719.1
 Thorax36155114.029.4
 Extremities24164011.040.0
 Thorax + extremities1310236.343.5
 Face + thorax192215.89.5
 Face + extremities164205.520.0
 Face + thorax + extremities127195.236.8
 Thorax + abdomen142164.412.5
 Thorax + abdomen + extremities85133.638.5
 Thoracal spine92113.018.2
 Abdomen82102.720.0
 Other51217219.829.2
 Total26599364100.027.2

All injuries or combinations of injuries with an incidence of >2 % in the 364 patients with traumatic brain injuries and concomitant injuries are listed

Table 5

Surgery in 364 patients with TBI plus concomitant injuries

OutcomeAliveDeadTotal% of all% mort
Number of surgical procedures
 01425820054.929.0
 171279826.927.6
 23894712.919.1
 3111123.38.3
 43361.650.0
 5110.3100.0
Total26599364100.027.2
Region of surgery
 Lower extremity49196826.527.9
 Face4375019.514.0
 Thorax32164818.733.3
 Upper extremity2963513.617.1
 Abdomen18133112.141.9
 Pelvis5383.137.5
 Cervical spine6172.714.3
 Thoracic spine7072.70.0
 Lumbar spine3031.20.0
 Total19265257100.025.3

SP surgical procedures; % of all percentage of surgical procedures in the 364 patients with traumatic brain injury and concomitant injuries; % of SP percentage of all surgical procedures

  24 in total

Review 1.  A systematic review of brain injury epidemiology in Europe.

Authors:  F Tagliaferri; C Compagnone; M Korsic; F Servadei; J Kraus
Journal:  Acta Neurochir (Wien)       Date:  2006-03       Impact factor: 2.216

2.  Predicting outcome after traumatic brain injury: development and validation of a prognostic score based on admission characteristics.

Authors:  Chantal W P M Hukkelhoven; Ewout W Steyerberg; J Dik F Habbema; Elana Farace; Anthony Marmarou; Gordon D Murray; Lawrence F Marshall; Andrew I R Maas
Journal:  J Neurotrauma       Date:  2005-10       Impact factor: 5.269

3.  Outcome after acute extradural haematoma, influence of additional injuries and neurological complications in the ICU.

Authors:  M Heinzelmann; A Platz; H G Imhof
Journal:  Injury       Date:  1996-06       Impact factor: 2.586

4.  The European Brain Injury Consortium survey of head injuries.

Authors:  G D Murray; G M Teasdale; R Braakman; F Cohadon; M Dearden; F Iannotti; A Karimi; F Lapierre; A Maas; J Ohman; L Persson; F Servadei; N Stocchetti; T Trojanowski; A Unterberg
Journal:  Acta Neurochir (Wien)       Date:  1999       Impact factor: 2.216

5.  Impact of additional extracranial injuries on outcome after mild traumatic brain injury.

Authors:  Maja Stulemeijer; Sieberen P van der Werf; Bram Jacobs; Jan Biert; Arie B van Vugt; Jolanda M P Brauer; Pieter E Vos
Journal:  J Neurotrauma       Date:  2006-10       Impact factor: 5.269

6.  Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors.

Authors:  Andrew I R Maas; Chantal W P M Hukkelhoven; Lawrence F Marshall; Ewout W Steyerberg
Journal:  Neurosurgery       Date:  2005-12       Impact factor: 4.654

7.  Direct transport within an organized state trauma system reduces mortality in patients with severe traumatic brain injury.

Authors:  Roger Härtl; Linda M Gerber; Laura Iacono; Quanhong Ni; Kerry Lyons; Jamshid Ghajar
Journal:  J Trauma       Date:  2006-06

8.  Severe traumatic brain injury in Austria VI: effects of guideline-based management.

Authors:  Martin Rusnak; Ivan Janciak; Marek Majdan; Ingrid Wilbacher; Walter Mauritz
Journal:  Wien Klin Wochenschr       Date:  2007-02       Impact factor: 1.704

9.  Polytrauma associated with traumatic brain injury: incidence, nature and impact on rehabilitation outcome.

Authors:  Z Groswasser; M Cohen; E Blankstein
Journal:  Brain Inj       Date:  1990 Apr-Jun       Impact factor: 2.311

10.  A multicenter trial on the efficacy of using tirilazad mesylate in cases of head injury.

Authors:  L F Marshall; A I Maas; S B Marshall; A Bricolo; M Fearnside; F Iannotti; M R Klauber; J Lagarrigue; R Lobato; L Persson; J D Pickard; J Piek; F Servadei; G N Wellis; G F Morris; E D Means; B Musch
Journal:  J Neurosurg       Date:  1998-10       Impact factor: 5.115

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  14 in total

Review 1.  [Polytrauma and concomitant traumatic brain injury : The role of the trauma surgeon].

Authors:  A Antoni; T Heinz; J Leitgeb
Journal:  Unfallchirurg       Date:  2017-09       Impact factor: 1.000

2.  Predictors of thoracic and lumbar spine injuries in patients with TBI: A nationwide analysis.

Authors:  Blake M Hauser; John McNulty; Mark M Zaki; Saksham Gupta; David J Cote; Joshua D Bernstock; Yi Lu; John H Chi; Michael W Groff; Ayaz M Khawaja; Timothy R Smith; Hasan A Zaidi
Journal:  Injury       Date:  2021-10-02       Impact factor: 2.586

3.  Traumatic Brain Injury Related to Motor Vehicle Accidents in Guinea: Impact of Treatment Delay, Access to Healthcare, and Patient's Financial Capacity on Length of Hospital Stay and In-hospital Mortality.

Authors:  Kézély Béavogui; Akoï Koïvogui; Tokpagnan Oscar Loua; Ramata Baldé; Boubacar Diallo; Aminata Rougui Diallo; Zézé Béavogui; Koué Goumou; Vamala Guilavogui; N'famara Sylla; Morad Chughtai; Adnan I Qureshi; Aissatou Taran Diallo; Naby Daouda Camara
Journal:  J Vasc Interv Neurol       Date:  2015-10

4.  Morbidity after traumatic spinal injury in pediatric and adolescent sports-related trauma.

Authors:  Saksham Gupta; Blake M Hauser; Mark M Zaki; Edward Xu; David J Cote; Yi Lu; John H Chi; Michael Groff; Ayaz M Khawaja; Mitchel B Harris; Timothy R Smith; Hasan A Zaidi
Journal:  J Neurosurg Spine       Date:  2019-12-27

Review 5.  Diagnostic accuracy of physical examination findings for midfacial fractures: a systematic review and meta-analysis.

Authors:  Romke Rozema; Michiel H J Doff; Konstantina Delli; Frederik K L Spijkervet; Baucke van Minnen
Journal:  Clin Oral Investig       Date:  2022-03-17       Impact factor: 3.573

6.  Osteoporosis Self-Assessment Tool for Asians Can Predict Neurologic Prognosis in Patients with Isolated Moderate Traumatic Brain Injury.

Authors:  Chia-Hung Chao; Yu-Feng Su; Hon-Man Chan; Shiuh-Lin Huang; Chih-Lung Lin; Aij-Lie Kwan; Yun-Ting Lou; Chao-Wen Chen
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240

Review 7.  Catastrophic consequences: can the feline parasite Toxoplasma gondii prompt the purrfect neuroinflammatory storm following traumatic brain injury?

Authors:  Tamara L Baker; Mujun Sun; Bridgette D Semple; Shiraz Tyebji; Christopher J Tonkin; Richelle Mychasiuk; Sandy R Shultz
Journal:  J Neuroinflammation       Date:  2020-07-25       Impact factor: 8.322

Review 8.  The effect of concomitant peripheral injury on traumatic brain injury pathobiology and outcome.

Authors:  Stuart J McDonald; Mujun Sun; Denes V Agoston; Sandy R Shultz
Journal:  J Neuroinflammation       Date:  2016-04-26       Impact factor: 8.322

9.  An Epidemiologic Study of Traumatic Brain Injuries in Emergency Department.

Authors:  Vahid Monsef Kasmaei; Payman Asadi; Behzad Zohrevandi; Mohammad Taghi Raouf
Journal:  Emerg (Tehran)       Date:  2015

10.  Analysis of incidence of traumatic brain injury in blunt trauma patients with Glasgow Coma Scale of 12 or less.

Authors:  Alexander Becker; Kobi Peleg; Oded Olsha; Adi Givon; Boris Kessel
Journal:  Chin J Traumatol       Date:  2018-04-16
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