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01.01.2014 | original article | Ausgabe 1-2/2014 Open Access

Wiener klinische Wochenschrift 1-2/2014

Epidemiology of traumatic brain injury in Austria

Zeitschrift:
Wiener klinische Wochenschrift > Ausgabe 1-2/2014
Autoren:
Assoc. Prof. Walter Mauritz, Assist. Prof. Alexandra Brazinova, Marek Majdan, Assist. Prof. Johannes Leitgeb
Wichtige Hinweise
An erratum to this article can be found at http://​dx.​doi.​org/​10.​1007/​s00508-014-0533-5.

Introduction

Traumatic brain injury (TBI) is a major cause of morbidity and mortality, and is the leading cause of death in people aged 15–45 years [1]. Tagliaferri et al. [2] reported that TBI accounted for the majority of trauma deaths in Europe. TBI has been called “the silent epidemic” [3] because the actual number of cases is rarely known, and because people as well as policy makers are frequently unaware of the serious consequences of TBI. Due to a number of factors (e.g., prevention policies, safer cars), the incidence of TBI is decreasing in developed countries [4]. However, the decline in TBI cases aged < 40 years is accompanied by an increase in geriatric TBI cases.
Epidemiology data on TBI in Austria are not available. There are some estimates regarding cases of moderate and severe TBI [5], which have been based on rates of hospital admissions. The goal of this article is to describe the epidemiology of TBI in Austria.

Methods

Only Austrian residents were included in this analysis. In the Austrian system, almost all patients with head trauma (even those with small cuts or bruises) are seen at hospital emergency rooms; therefore, there was no need to obtain statistics on visits to physician’s offices.
Statistik Austria (national statistics office) provided data on all deaths (years 2009–2011) due to International Classification of Diseases [10th revision (ICD-10)] codes S01.0–S01.9, S02.0, S02.1, S02.7, S06.0–S06.9, T01.0, T02.0, T04.0, T06.0, T90.1, T90.2, or T90.4–T90.9, and provided data on all hospital discharges (years 2009–2011) with ICD-10 codes S06.0–S06.9, T68, or T07. Patients who were transferred to another hospital as well as re-admissions are included twice. Data on TBI severity were not available. Data on hospital discharges as well as fatalities included year and month of TBI, age, sex, and residency (postcode) of the cases, and cause of accident. Data on fatalities had additional information on mechanism of accident (ICD-10 codes V01.1–Y89.9) and location of death. Data on hospital discharges had additional information on duration of hospital stay and outcome (discharge or death). Data on the population of the area where the patients lived and on the availability of a hospital admitting TBI within the area of residency were added to the database. Statistik Austria provided data regarding the size of the age-groups (years 2009–2011; 5-year intervals) of the Austrian population.
Data on hospital discharges (years 2009–2011; ICD-10 codes S06.0–S06.9) to seven trauma centers funded by the Austrian Worker’s Compensation Board (Allgemeine Unfallversicherungsanstalt, AUVA) were provided by the office of the Medical Director. These data were available with hospital ID numbers; thus, we were able to estimate the number of re-admissions (86/7,734 cases; 1.11 %) because these cases had identical hospital ID numbers. Data on outpatient treatment for TBI (years 2008–2010) were provided by AUVA; age, sex, number of outpatients, ICD-10 code (S06.0–S06.9), and name of hospital were available. During these 3 years, the trauma hospitals treated close to a million outpatients, and 1,483 of these were TBI cases. The total number of outpatients treated for TBI was estimated using data on annual trauma department visits from Statistik Austria, which, unfortunately, did not provide a diagnosis other than “injury.” Data from the prospective data collection of the Trauma hospital “Lorenz Boehler” in Vienna were used to estimate the number of multiple trauma cases with TBI. TBI (= any Abbreviated Injury Score (AIS) for the region “head” > 0) was present in 138/246 cases (43.9 %, years 2008–2011) that had been coded as “multiple trauma.” The total number of multiple trauma cases with TBI was estimated using this factor.
Data on TBI discharges of Austrian residents to Austrian hospitals were provided by the office of the Main Association of the Austrian Social Security Institutions. This database had information on the number of inter-hospital transfers (n = 3,880 in 2009–2011) of TBI patients. These cases were identified in the database provided by Statistik Austria by searching for cases with identical age, sex, residency, trauma mechanism, and ICD-10 diagnosis, and double entries were marked as “transfers.” A total of 3,150 cases were found.
All databases had complete sets of data for 3 years. Data for the 3 years from 2009 to 2011 were averaged for calculation of incidence (cases/100,000/year), case fatality rates (CFRs; deaths/number of cases), and mortality rates (MRs; deaths/100,000/year) by age-groups and sex. Data were not averaged for all other analyses. We investigated hospital discharges and causes of death (males vs. females), CFR and MR vs. cause and diagnosis of TBI, and CFR and MR vs. availability of a hospital admitting TBI in the residential area, and vs. population of residential area.
Means with respective standard deviations were used as central measures of continuous variables, and counts with percentages were used as frequency measures of categorical variables. For the statistical analysis for continuous variables, Student’s T-test, and for the analysis of categorical variables, the χ2 test, was used. A p-value of < 0.05 was considered statistically significant.

Results

There were no differences in case numbers between the years 2009, 2010, and 2011; they contributed to 33.4, 33.3, and 33.3 % of all TBI cases, respectively. Overall incidence was 303/100,000/year (Table 1); this number included all hospital survivors, all patients who died, and all patients treated as outpatients (estimated). Correction for re-admissions (estimated) and patients with multiple trauma plus TBI (estimated) gave an incidence of 305/100,000/year. Overall CFR was 3.6 %, and overall MR was 11/100,000/year.
Table 1
Age, sex, incidences, case fatality rates, and mortality rates
https://static-content.springer.com/image/art%3A10.1007%2Fs00508-013-0456-6/MediaObjects/508_2013_456_Tab1_HTML.gif
TBI was seen more frequently in males (Fig. 1). The highest numbers of cases were found in male teens and in female octogenarians. The high number of cases in the female geriatric population, however, did not translate into a higher incidence, as the female population aged > 65 years is larger than the male population aged > 65 years (see also Table 1). The high incidence in pediatric patients was not associated with a high number of fatal cases (Fig. 2)—CFRs were lower than those in all other age-groups (Table 1). The lowest incidences were seen in adults of both sexes, with lower rates for females. Incidence increased in geriatric patients to reach a maximum of 2,422/100,000/year in female, and of 2,991/100,000/year in male patients aged > 94 years. These cases also had the highest CFR as well as MR. In cases < 15 years of age, females had higher CFRs and MRs; in older cases, males had significantly higher CFRs and MRs. The rates of extra-hospital deaths were > 50 % for the pediatric and adult cases of both sexes, and decreased to approximately 30 % in geriatric cases.
The proportion of different ICD-10 codes showed significant variations between the age-groups. The proportion of the most common diagnosis “concussion” decreased from approximately 90 % to approximately 60 % with increasing age. The proportions of “focal brain injury” (0.1–3.4 %), “subdural hematoma” (0.5–18.5 %), “subarachnoid hemorrhage” (0.2–7.2 %), and “other brain injury” (0.1–2.2 %) increased with increasing age. The highest proportions of “brain edema” (0.7 %) and “epidural hematoma” (2.9 %) were found in cases aged 30–60 years, and were lower in younger as well as older patients. The proportions of “TBI with prolonged coma” (approximately 0.2 %) and “unspecified brain injury” (approximately 5 %) remained more or less constant over all age-groups.
With regard to hospital discharges (Table 2), approximately 58 % of the cases were male. The mean age of females was 9 years higher than that of males. The cases were distributed evenly over the year. Injuries during private activities (mostly falls) were the most frequently observed cause, followed by traffic accidents that contributed to 7 % of the cases. Three-quarter of the cases were diagnosed as “concussion,” 7 % had “subdural hematoma,” and 3 % each had “subarachnoid hemorrhage” or “diffuse brain injury.” “Epidural hematoma” as well as “focal brain lesions” were diagnosed in < 2 % of the cases.
Table 2
Hospital discharges (January 2009 to December 2011)
 
Female
Male
Total
p-value
Cases
n
Percentage
n
Percentage
n
Percentage
 
 
30,790
41.8
42,832
58.2
73,622
100
 
Age
Mean
SD
Mean
SD
Mean
SD
< 0.001
 
49.5
31.7
40.9
26.7
44.5
29.2
 
Season
n
Percentage
n
Percentage
n
Percentage
< 0.01
Spring
7,824
25.4
10,899
25.4
18,723
25.4
 
Summer
7,408
24.1
10,718
25.0
18,126
24.6
 
Fall
7,396
24.0
10,341
24.1
17,737
24.1
 
Winter
8,162
26.5
10,874
25.4
19,036
25.9
 
Total
30,790
100
42,832
100
73,622
100
 
Cause
n
Percentage
n
Percentage
n
Percentage
< 0.001
Other private
16,570
53.8
20,741
48.4
37,311
50.7
 
Other/unknown
9,715
31.6
13,053
30.5
22,768
30.9
 
Traffic-related
1,954
6.3
3,084
7.2
5,038
6.8
 
Sports-related
1,345
4.4
2,625
6.1
3,970
5.4
 
Work-related
481
1.6
1,508
3.5
1,989
2.7
 
Violence-related
272
0.9
1,066
2.5
1,338
1.8
 
School-related
343
1.1
533
1.2
876
1.2
 
Home/garden work
100
0.3
181
0.4
281
0.4
 
Suicide attempt
10
0.0
41
0.1
51
0.1
 
Total
30,790
100
42,832
100
73,622
100
 
Diagnosis
n
Percentage
n
Percentage
n
Percentage
< 0.001
Concussion
24,022
78.0
32,641
76.2
56,663
77.0
 
Subdural hematoma
2,138
6.9
2,995
7.0
5,133
7.0
 
Unspecified brain injury
1,383
4.5
2,067
4.8
3,450
4.7
 
Diffuse brain injury
956
3.1
1,630
3.8
2,586
3.5
 
Subarachnoid hemorrhage
998
3.2
1,294
3.0
2,292
3.1
 
Focal brain injury
513
1.7
834
1.9
1,347
1.8
 
Epidural hematoma
374
1.2
693
1.6
1,067
1.4
 
Other brain injury
311
1.0
519
1.2
830
1.1
 
Brain edema
73
0.2
124
0.3
197
0.3
 
Injury with prolonged coma
22
0.1
35
0.1
57
0.1
 
Total
30,790
100
42,832
100
73,622
100
 
Hospital days
n
Percentage
n
Percentage
n
Percentage
< 0.001
< 1
1,926
6.3
4,253
9.9
6,179
8.4
 
1–3
21,522
69.9
28,606
66.8
50,128
68.1
 
4–7
3,218
10.5
3,627
8.5
6,845
9.3
 
8–14
2,044
6.6
2,751
6.4
4,795
6.5
 
15–21
844
2.7
1,239
2.9
2,083
2.8
 
22–28
569
1.8
927
2.2
1,496
2.0
 
29–35
219
0.7
389
0.9
608
0.8
 
35+
448
1.5
1,040
2.4
1,488
2.0
 
Total
30,790
100
42,832
100
73,622
100
 
Outcome
n
Percentage
n
Percentage
n
Percentage
0.699
Died
627
2.0
891
2.1
1,518
2.1
 
Discharged
30,163
98.0
41,941
97.9
72,104
97.9
 
Total
30,790
100
42,832
100
73,622
100
 
Age
Mean
SD
Mean
SD
Mean
SD
 
Died
78.4
17.3
69.2
20.0
73.0
19.5
< 0.001
Discharged
48.9
31.6
40.3
26.5
43.9
29.0
< 0.001
Total
49.5
31.7
40.9
26.7
44.5
29.2
< 0.001
The p-value relates to the differences between females and males
SD standard deviation
Two-third (62.3 %) of the 719 cases/year treated as outpatients were male. The mean age of male (35.8 ± 19.8 years) as well as female cases (38.6 ± 23.2 years) was significantly lower than that of admitted cases. Most cases (91.3 %) were diagnosed as “concussion”; intracranial hematomas were diagnosed in only 4.8 %. Few cases (0.9 %) were observed for some hours in the emergency room, 3.1 % received medications, and all others just received medical advice. The number of patients who left against medical advice has not been recorded.
Between 2009 and 2011, 8,435 trauma-related deaths had been registered; of these, 2,665 (31.6 %) were due to TBI. More than two-third of the patients were male, and their mean age was almost 10 years lower than that of females (Table 3). The cases were distributed evenly over the seasons. Three-quarter of the deaths were due to accidents, and these were significantly more frequent in females. The most important mechanisms of accidents were “falls” followed by “other factors” (e.g., banging the head against an object, etc.) and “traffic-related” injuries. Suicides were the second most important cause; these were seen significantly more frequently in males (25 vs. 5 % of all deaths). The most important mechanisms of suicides were gunshots to the head. With regard to the location of TBI, most cases happened at “other locations” (e.g., outdoors, at homes of friends or relatives, etc) followed by “home” and “street.” The cases where location was “unknown” are those who died from sequelae of TBI. Most patients died at hospitals; approximately a quarter of them died at home; some died at “other locations” (e.g., the scene of TBI); and a few died at other medical institutions. Significant differences between patients who died from accidents and those who died from suicides were found: most accidental cases were admitted to hospitals, and fewer died on the scene of TBI, whereas suicide cases mostly died at the scene of TBI, and only few of these survived until hospital admission.
Table 3
Fatal traumatic brain injury cases in Austrian residents (January 2009 to December 2011)
 
Female
Male
Total
p-value
Cases
n
Percentage
n
Percentage
n
Percentage
 
 
825
30.9
1,840
69.0
2,665
100
 
Age
Mean
SD
Mean
SD
Mean
SD
 
 
73.5
19.8
62.5
20.2
65.9
20.7
< 0.001
Season
n
Percentage
n
Percentage
n
Percentage
0.571
Fall
205
24.9
462
25.1
667
25.0
 
Spring
188
22.8
456
24.8
644
24.2
 
Summer
212
25.7
471
25.6
683
25.6
 
Winter
220
26.7
451
24.5
671
25.2
 
Total
825
100
1,840
100
2,665
100
 
Cause
n
Percentage
n
Percentage
n
Percentage
< 0.001
Accident
731
88.6
1.266
68.8
1.997
74.9
 
Suicide
41
4.9
467
25.4
508
19.1
 
Sequelae of TBI
20
2.4
66
3.6
86
3.2
 
Not defined (accident or suicide)
9
1.1
28
1.5
37
1.4
 
Aggression
23
2.8
12
0.7
35
1.3
 
Iatrogen
1
0.1
1
0.1
2
0.1
 
Total
825
100
1,840
100
2,665
100
 
Mechanism of accidents
n
Percentage
n
Percentage
n
Percentage
< 0.001
Fall
473
64.7
620
48.9
1,093
54.7
 
Other factor
158
21.6
361
28.5
519
26.0
 
Traffic-related
90
12.3
232
18.3
322
16.1
 
Accidental hit
4
0.6
23
1.8
27
1.4
 
Work-related
1
0.1
15
1.2
16
0.8
 
Sports-related
1
0.1
10
0.8
11
0.6
 
Trapped by object(s)
0
0.0
5
0.4
5
0.3
 
Total
731
100
1,266
100
1,997
100
 
Mechanism of suicides
n
Percentage
n
Percentage
n
Percentage
< 0.001
Fall
20
48.8
26
5.6
46
9.1
 
Gun
19
46.3
422
90.4
441
86.8
 
Vehicle/train
2
4.9
15
3.2
17
3.3
 
Other mechanism
0
0.0
4
0.9
4
0.8
 
Total
41
100
467
100
508
100
 
Location of TBI
n
Percentage
n
Percentage
n
Percentage
< 0.001
Other
448
54.3
929
50.5
1,377
51.7
 
Home
223
27.0
495
26.9
718
26.9
 
Street
94
11.4
248
13.5
342
12.8
 
Unknown
18
2.2
63
3.4
81
3.0
 
Care center
30
3.6
29
1.6
59
2.2
 
Workplace
5
0.6
25
1.4
30
1.1
 
Mountain
2
0.2
23
1.3
25
0.9
 
Railway
2
0.2
17
0.9
19
0.7
 
Sports facility
2
0.2
10
0.5
12
0.5
 
Hospital
1
0.1
1
0.1
2
0.1
 
Total
825
100
1,840
100
2,665
100
 
Location of death (all causes)
n
Percentage
n
Percentage
n
Percentage
< 0.001
Hospital
544
65.9
859
46.7
1,403
52.6
 
Home
155
18.8
498
27.1
653
24.5
 
Other
69
8.4
395
21.5
464
17.4
 
Other medical institution
55
6.7
85
4.6
140
5.3
 
Transport
2
0.2
3
0.2
5
0.2
 
Total
825
100
1,840
100
2,665
100
 
Location of death (accidents)
n
Percentage
n
Percentage
n
Percentage
< 0.001
Hospital
524
71.7
758
59.9
1,282
64.2
 
Home
110
15.0
197
15.6
307
15.4
 
Other
48
6.6
249
19.7
297
14.9
 
Care center
47
6.4
60
4.7
107
5.4
 
Transport
2
0.3
2
0.2
4
0.2
 
Total
731
100
1,266
100
1,997
100
 
Location of death (suicides)
n
Percentage
n
Percentage
n
Percentage
0.043
Home
21
51.2
273
58.5
294
57.9
 
Other
11
26.8
127
27.2
138
27.2
 
Hospital
6
14.6
61
13.1
67
13.2
 
Care center
3
7.3
5
1.1
8
1.6
 
Transport
0
0.0
1
0.2
1
0.2
 
Total
41
100
467
100
508
100
 
The p-value relates to the differences between males and females
SD standard deviation, TBI traumatic brain injury
An analysis of CFRs (based on hospital discharges) for different causes of TBI and for different diagnoses is given in Table 4. Cases of TBI due to “school” accidents, to “sports,” or to “inter-personal violence” had CFRs < 1 %. Most other causes had CFRs between 1 and 5 %. Attempted suicide was found to have the highest CFR; half of the patients who reached the hospital alive died there. Cases of “concussion” had the lowest CFR; “epidural hematoma” had a CFR of 3.7 %; “diffuse brain injury” and “subarachnoid hemorrhage” had a CFR of approximately 7 %, “subdural hematoma” had a CFR of 11.6 %; and “brain edema” had the highest CFR of 33.5 %.
Table 4
Case fatality rates of hospital discharges for different causes and diagnoses
Cause
Died (n)
Discharged (n)
Total (n)
CFR (%)
 School
1
875
876
0.1
 Sports-related
9
3,961
3,970
0.2
 Violence
4
1,334
1,338
0.3
 Work-related
24
1,965
1,989
1.2
 Other/unknown
487
22,281
22,768
2.1
 Other private
826
36,485
37,311
2.2
 Traffic-related
127
4,911
5,038
2.5
 Home/garden work
14
267
281
5.0
 Suicide attempt
26
25
51
51.0
Total
1,518
72,104
73,622
2.1
Diagnosis
    
 Concussion
100
56,563
56,663
0.2
 Epidural hematoma
39
1,028
1,067
3.7
 Unspecified brain injury
149
3,301
3,450
4.3
 Diffuse brain injury
173
2,413
2,586
6.7
 Subarachnoid hemorrhage
155
2,137
2,292
6.8
 Focal brain injury
124
1,223
1,347
9.2
 Subdural hematoma
596
4,537
5,133
11.6
 Other brain injury
107
723
830
12.9
 Brain injury with prolonged coma
9
48
57
15.8
 Brain edema
66
131
197
33.5
Total
1,518
72,104
73,622
2.1
The CFR values are significantly different (p < 0.001)
CFR case fatality rate
The size of the village/town/city where the TBI cases lived had significant influence on CFRs and MRs—both decreased significantly with increasing population (Table 5). Incidence decreased as well (statistically insignificant). The availability of a hospital that admitted TBI cases in the area of residency had a small (statistically insignificant) effect on CFRs. However, if only TBI cases that happened at home are considered, MR was significantly lower in cases that happened closer to hospitals (2.29 vs. 3.34 deaths/100,000/year, p < 0.001). It seems that most cases were treated at hospitals in their country of residence; the proportion of TBI cases in each province closely matched the proportion of TBI hospital discharges in that province.
Table 5
Incidences, case fatality rates, and mortality rates by population of residency and by availability of traumatic brain injury hospital in area of residency
https://static-content.springer.com/image/art%3A10.1007%2Fs00508-013-0456-6/MediaObjects/508_2013_456_Tab5_HTML.gif
TBI = traumatic brain injury

Discussion

Austria is a small Central European country (83,855 km2, 32,377 square miles) with nine provinces. It is populated by approximately 8.4 million residents. Only one-third of the country lies < 500 m (1,640 ft); three-quarters are covered by the Eastern Alps and their foothills. Approximately a quarter of the population lives in the capital area (Vienna and suburbs), another quarter lives in 120 cities with > 7,500 inhabitants (mostly in flat and/or low-lying areas), and the other 50 % live in 2,236 towns and villages with < 7,500 inhabitants (approximately half of these in the Alpine area). Approximately half of the population lives close to one of the 84 hospitals that admit TBI cases. Despite excellent cover by air medical services (38 helicopters) and ambulance cars, prehospital time (including treatment by emergency physicians) can exceed 90 min in some difficult-to-reach areas. These conditions are the reason why the CFR was higher in less populated areas, and why hospital mortality was lower in cases who lived closer to a hospital admitting TBI cases. A comparable finding was published in a study from the United States [6]: the CFR tended to decrease with an increase in population density (with the notable exception of the District of Columbia).
The overall incidence of 303/100,000/year found in our study is lower than the incidences of 337 [7] and of 332/100,000/year [8] calculated for German regions, and of 354/100,000/year given for Northern Sweden [9]. A lower incidence of 235/100,000/year was reported by Tagliaferri et al. [2]; however, the incidences given in the reviewed studies were 100–546/100,000/year. Higher rates were reported for the British region of Exeter (453/100,000/year [10]), for the United States (538/100,000/year [11]), and for New Zealand (790/100,000/year [12]). This latter study also included self-referred cases who were considered to have had TBI if they “had seen stars” or “were dazed” or “confused” after a head injury. The incidence was calculated from 1,369 cases, and only 71 cases (5.2 %) had moderate-to-severe TBI. In most other studies, moderate and severe cases contributed to approximately 15 %; thus, the New Zealand study may have overestimated the number of cases with mild TBI. Alternatively, all other studies done so far may have underestimated the number of cases with mild TBI. The overall MR (11/100,000/year) and CFR (3.6 %) are lower than those reported by Tagliaferri et al. (15/100,000/year and 11 %, respectively [2]). Again, the rates given in the reviewed studies were 5.2–24.4/100,000/year and 1−25 %, respectively. An MR of 17.5/100,00/year was calculated for the United States [11].
The ratio between male and female cases was 1.4:1 for all, and was 2.2:1 for fatal cases. Comparable male-to-female ratios (all cases) were reported for Sweden (1.2:1 [11]) and for the United States (1.5:1 [11]). For severe and fatal cases, male:female rates of 3:1 (France [13]) and 3.6:1 (United States [6]) have been published. The difference in the male-to-female ratios between all cases and severe cases is due to the higher CFRs in males, which was also observed in our study.
Regarding age, our data are in accordance with some previous studies [11, 14]: we found a peak in teens and young adults, and a second peak in geriatric patients. Studies from New Zealand, however, reported a first peak in children < 5 years of age, and a second peak in teens and young adults [12, 15]; almost 70 % were observed in cases aged < 35 years. In our study, due to the high number of geriatric TBI, cases aged < 35 years contributed only to 43 % of all cases. A significant increase in the rates of geriatric TBI was documented in studies from the United States [16] and Italy [17].
Austrian hospitals record the activity during which an accident occurred as “cause of injury,” and the recordable activities have been selected to define which social security institution has to pay for treatment. The activities “school,” “work,” and “traffic to/from work” are covered by AUVA (see above); all other activities are covered by health insurance. Thus, many possible mechanisms are summarized under “other private” activities. With regard to TBI, most of these cases are falls; however, cases of unintentional hits, of objects falling on patients, and of TBI due to other external forces (explosion, firearm injury) could be summarized under “other private” activities, too. For fatal cases, more detailed descriptions of cause and mechanism of injury are recorded on the death certificates. Even with these limitations in mind, the extremely high rate of falls found in our study (up to 80 % of all hospitals discharges, 43 % of all fatal cases) as well as the extremely low rate of traffic-related TBI (7 % of all hospital discharges, 17 % of all fatal cases) is remarkable. In most previous studies, TBI was caused by traffic-related events more frequently than by falls [2]. Studies from Norway [18], with 62 % falls and 21 % traffic; Sweden [14], with 58 % falls and 16 % traffic; and Finland [19], with 61 % falls and 26 % traffic-related injuries, reported rates somehow comparable with those found in Austria. The higher number of falls in our study is most probably due to the large proportions of geriatric (25 % of all cases aged > 64 years) and pediatric cases (19 % of all cases aged < 15 years) in our study.
Another remarkable aspect of our study is the high CFR of suicides. Suicides were the cause of TBI in 0.7 % of all cases (178/25,456 cases/year), and in 19 % of all fatal cases. Firearms were the most frequently observed mechanism of suicide-related TBI (87 %). Only few of the patients made it to a hospital alive; most died at the scene. Half of the patients who were admitted to hospitals died there, including patients who died on the scene (508/533 cases died; CFR: 95 %). A much lower rate of suicides (0.1 %) was found in a German study [8]. A high proportion of suicides by firearms (29 % of all fatal TBI cases!) was found in a study from the United States [6].
The rate of TBI due to inter-personal violence was rather low (1.7 %). Higher rates were published in studies from Scotland (28 % [20]), Sweden (15 % [21]), Germany (14.2 % [8]), and the United States (11 % [22]). This difference might partly be due to under-reporting, as it is not uncommon that beaten women report “fall” rather than “having been hit” as cause of accident to avoid further problems with their violent partners. The difference might also partly be due to the fact that the age-group most at risk (i.e., young males aged 15–24 years) represents < 6 % of the Austrian population.
Limitations of this study include the following: the data regarding outpatients and re-admissions have been estimated from the documented numbers of cases available from AUVA hospitals. This sample (n = 7,645 cases) represents 10.4 % of all hospital discharges (n = 73,622 cases). Discharge and re-admission strategies might be different at other trauma departments, and the actual rates of outpatients and re-admissions may be incorrect. The same is true for the estimated number of patients with TBI who have been coded as “multiple trauma.” However, given the low numbers of re-admissions, outpatients, and patients with multiple trauma plus TBI, any errors are unlikely to significantly change calculated incidence, CFR, and MR. We are confident that this study included all patients with relevant TBI over a period of 3 years. Cases with mild TBI who did not need medical attention are not included in this study, but these cases are unlikely to be of any relevance.

Conclusions

Our study showed that incidence, CFR, and MR of TBI in Austria are comparable with those from other European countries. We found a high rate of geriatric TBI. The most common mechanism was falls; traffic accidents accounted for only 7 % of the cases. CFRs were higher in patients from less populated areas, and MRs were lower in cases who lived closer to hospitals that admitted TBI. The Austrian system of reporting cause of accident for hospital admissions should be changed to describe the actual mechanism instead of the activity during which the accident occurred, and should include severity of TBI. The high rate of geriatric TBI warrants better prevention of falls in this age-group.

Acknowledgments

We are very grateful to the following experts: Dr. Erika Baldaszti (Statistik Austria) who provided data on hospital discharges of patients with TBI and data on deaths due to external causes (which included all deaths due to TBI), Dr. Michael Szivak [Austrian Worker’s Compensation Board (AUVA)] who provided data on hospitals discharges of patients with TBI and on outpatients with TBI treated in Austrian Trauma hospitals, and Mag. Robert Sinz (Main Association of the Austrian Social Security Institutions) who provided data on hospitals that admitted patients with TBI.

Funding

This work was supported by a grant from the Austrian Worker’s Compensation Board (AUVA; FK 09/13). The International Neurotrauma Research Organization (INRO) is supported by an annual grant from Mrs. Ala Auersperg-Isham and Mr. Ralph Isham, and by small donations from various sources.

Conflicts of interest

There are no conflicts of interest
Literatur
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