Skip to main content
  • Original research
  • Open access
  • Published:

Epidemiological comparison between the Navarra Major Trauma Registry and the German Trauma Registry (TR-DGU®)



International benchmarking can help identify trauma system performance issues and determine the extent to which other countries also experience these. When problems are identified, countries can look to high performers for insight into possible responses. The objective of this study was to compare the treatment and outcome of severely injured patients in Germany and Navarra, Spain.


Data collected, from 2010 to 2013, in the Navarra Major Trauma Registry (NMTR) and the TraumaRegister DGU® (TR-DGU) were compared. Both registries followed the Utstein Trauma Template (European Core Dataset) for documentation of trauma patients. Adult patients (≥ 16 years) with New Injury Severity Score (NISS) being >15 points were included in this study. Patients who had been admitted to the hospital later than 24 h after the trauma, had been pronounced dead before hospital arrival, or had been injured by hanging, drowning or burns, were excluded.

Demographic data, injury data, prehospital data, hospital treatment data, time intervals, and outcome were compared. The expected mortality was calculated using the Revised Injury Severity Classification score II (RISC II).


A total of 646 and 43,110 patients were included in the outcome analysis from NMTR and TR-DGU, respectively. The difference between observed and expected mortality was −0.4% (standardized mortality ratio [SMR] 0.97; 95% CI 0.93–1.04) in Germany and 1.6% (SMR 1.08; 95% CI: 1.02–1.14) in Navarra. Differences in the characteristics of trauma patients and trauma systems between the regions were noted.


The higher observed mortality in Navarra is consistent with the epidemiological characteristics of its population. However, to improve the quality of trauma care in the Navarra trauma system, certain improvements are necessary. There were less young adults with severe injuries in Navarra than in Germany. It is possible to compare data of severely injured patients from different countries if standardized registries are used.


Major trauma is a leading cause of death and disability [1]. Despite the importance of injuries, there are no strict national guidelines for trauma care in Spain, nor is there a nation-wide trauma registry. It has been shown that trauma registries are valid tools to assess and improve trauma care [2]. The great value of trauma registries lies in their potential to perform benchmarking at regional, national or international level [2].

The Navarra Major Trauma Registry (NMTR) was created in 2010 in Navarra, a region of northern Spain bordering France [3]. For benchmarking purposes, this registry follows the recommendations of the uniform Utstein style for documentation of severe trauma in Europe [4].

The outcome of emergency care of severely injured patients in Navarra has been compared previously. Gomez de Segura et al. compared the Navarra Emergency System and Atlantic Pyrenees (France) using data from 2001 to 2002. The results showed that despite more aggressive approach and employment of great resources, the French comprehensive emergency system didn’t show greater survival rates among injured patients compared to Navarra [5].

In Europe, the UK Trauma Audit and Research Network (TARN), the German Trauma Registry (TR-DGU®), the Dutch trauma registry, the Norwegian Trauma Registry and the Swedish Trauma Registry are well established nationwide trauma registries. The TR-DGU, a national initiative for documentation of care of severely injured patients in Germany, was founded in 1993 [6]. Nijboer et al. compared the demographics, injury mechanisms, treatment, and mortality of severely injured trauma patients (ISS >15) treated in 2005 in a level-one trauma center in Queensland (Australia) and in 59 German level-one trauma centers. The results exhibited that, despite the differences in trauma systems especially, in pre-hospital care, between both countries, the observed mortality was lower than expected in both Australia and Germany [7].

A similar study was performed by Brink et al. comparing treatment and survival of severely injured patients (NISS > 15) treated between 2006 and 2011 in Germany and Southern Finland. The authors concluded that the overall outcome results of both regions were similar and registry comparison is a feasible method of quality control in a trauma center [8].

Brilej et al. also evaluated the quality of treatment of 155 severely injured patients treated in 2006–2007 at the General Hospital Celje (Slovenia) using Trauma and Injury Severity Score (TRISS) and Revised Injury Severity Classification (RISC) methodology. The study concluded that, despite some differences between Germany and General Hospital Celje, RISC analysis performed better than TRISS in terms of discrimination, calibration and precision [9].

International benchmarking can help identify trauma system performance issues and determine the extent to which other countries also experience these. When problems are identified, countries can look to high performers for insight into possible responses. In addition, by using an international perspective, comparisons can inform benchmarks and targets for national and/or provincial governments. For successful benchmarking, meaningful performance benchmarks that can guide health policy and patient care decisions must be drawn from comprehensive, systematically collected, and valid data [10]. In Spain, data are limited at national level, and most of the well-established trauma registries are at regional or provincial level, such as the NMTR [11].

The main aim of the present study was to compare the Injury profile, treatment and outcome of severely injured patients in Navarra (Spain) and Germany using trauma registries in the respective countries.


Study populations

For this study, data from the NMTR and the TR-DGU® between January 1, 2010 and December 31, 2013 were used. For both registries, patients eligible for inclusion in this study were adults >15 years who had been injured by external agents with any type of intent and New Injury Severity Score (NISS) over 15 points. Patients who had been admitted to the hospital later than 24 h after the trauma, who had been declared dead before hospital arrival, who did not exhibit signs of life upon their arrival to the hospital, who did not respond to resuscitation techniques, who had been injured by hanging or drowning, or burnt patients without other traumatic injuries, were excluded.

Trauma system in Navarra and Germany

Navarra is an autonomous province in Northern Spain with an area of 10,421 km2 and a population of 637,000 inhabitants. The emergency care system of Navarra is publicly funded, providing coverage to the entire population. The system is divided in three areas: Pamplona, Tudela and Estella. There are three hospitals that treat severe trauma patients in the region, through which all relevant information is included in the NMTR [3]. Navarra’s first recognized Major Trauma Service (comparable to a Level 1 trauma center), the Complejo Hospitalario de Navarra (CHN) in Pamplona, is the only tertiary referral hospital in the region. The two local hospitals (Reina Sofia in Tudela and Garcia Orcoyen in Estella) can provide initial trauma care while waiting for the right moment to transport the patient to the CHN.

Prehospital management was performed by a coordination center. The center mobilizes the resources for outpatient care (physicians or paramedics) taking into account the seriousness of the victim’s condition, referring them to the appropriate hospital emergency services. Paramedic resources (basic life support ambulances) include certified ambulance assistant technicians. Physician-staffed services (ambulances and helicopters with advanced life support) responsible for medical assistance include physicians, registered nurses and certified assistant technicians. In Pamplona, there are two physician-staffed ambulances strategically positioned that provide medical assistance to the whole area. The areas of Tudela and Estella each have one physician-staffed ambulance, at their hospitals.

Pre-hospital and hospital physicians are usually family doctors with post-graduate emergency medicine training. Around 200 trauma patients with NISS >15 are annually registered in Navarra.

Germany has a multi-payer healthcare system with two main types of health insurance: obligatory health insurance for work-related accidents and general health insurance [12]. In Germany, physician-operated emergency medical services manage most pre-hospital traumas. There are 52 physician-staffed helicopters, approximately 1000 physician-staffed ambulances and numerous paramedic-staffed ambulances. A physician at scene sees almost all serious trauma cases. Doctors working pre-hospital and hospital are physicians with a post-graduate emergency medicine training and certification; usually they are anesthesiologists [13].

In both Navarra and in Germany, trauma care is performed following the Advanced Trauma Life Support guidelines. One major difference is the resuscitation in the emergency department. In Navarra, emergency physicians perform resuscitations, whilst in Germany, it is done by a surgeon-directed trauma team. These are general surgeons with extensive experience in trauma care including fracture management [7]. Therefore, the number of involved specialties, and subsequently doctors, is often lower than in Navarra.

The registries: NMTR and TR-DGU®

The NMTR was created in 2010 with the aim of internal and external benchmarking [3]. This is a comprehensive population registry strictly tailored to the variables and categories defined by the European Utstein Core Dataset for documentation of trauma patients [4]. Based on the Abbreviated Injury Scale (AIS), the injuries suffered by each patient are entered using a computer application. This application contains an adapted list of 152 injuries based on the revised AIS 1985 version [14], sorted by the six body regions of the Injury Severity Score (ISS), with their appropriate AIS severity level.

Database inclusion criteria were patients injured by external agents of any kind with a NISS >15. Exclusion criteria were: patients admitted to the hospital more than 24 h after injury; patients declared dead before arrival at hospital or with no signs of life on hospital arrival and no response to hospital resuscitation; asphyxia; drowning; or burnt patients with no other trauma injuries [4].

A Web application, that allows the cooperation by various users in the registry of patient data, was developed. Approximately 150 people, all doctors from the Navarra’s hospital and prehospital emergency care departments and intensive care units (ICU) of the public health system, used the application. A data manager was responsible for the general supervision and administration of the system, as well as for verifying the compliance of the inclusion criteria and of the introduction of patient data. Data was checked for completeness and plausibility; inconsistencies and missing data were handled through the hospital. Automatically generated reports on completeness of data were available at any time.

A patient can receive treatment at different hospitals: the system enables the collaboration between several hospitals and the possible management of transfers. A trauma patient may have several hospital records (one in each hospital), in which case the system generates a review by using a predefined algorithm, post-analysis of the various records. Consequently, the information on the patient’s admission status and the outcome of a trauma case are always available.

The NMTR also includes information about trauma patients who died on the scene or while being transported to the hospital [15]. Furthermore information about the severity of the injury at the scene of a motor vehicle crash, calculated by Structural Deformity Index (SDI), is also documented in the NMTR [16]. The use of the SDI can assist prehospital and hospital health care providers if particular serious injuries are suspected and anatomical and physiological criteria are not definitive.

The TraumaRegister DGU® of the German Trauma Society (Deutsche Gesellschaft für Unfallchirurgie, DGU) was founded in 1993. The aim of this multi-centre database is the pseudonymised and standardised documentation of severely injured patients. Injuries were coded according to the AIS, version 2008. The TR-DGU uses a reduced version with only 450 codes for documentation where similar codes with the same severity level were merged [6].

The documentation includes detailed information on demographics, injury pattern, comorbidities, pre- and in-hospital management, the course in the ICU, relevant laboratory findings including transfusions, and the outcome of every patient. The inclusion criterion is the admission to the hospital through the emergency department and subsequent ICU/ICM care or reach the hospital with vital signs and death before being admitted to the ICU.

The infrastructure for documentation, data management, and data analysis was provided by the AUC - Academy for Trauma Surgery (AUC - Akademie der Unfallchirurgie GmbH), a company affiliated to the German Trauma Society. The scientific leadership was provided by the Committee on Emergency Medicine, Intensive Care and Trauma Management (Sektion NIS) of the German Trauma Society. Participating hospitals submitted their pseudonymised data to a central database via a web-based application. Scientific data analysis was approved following a peer review procedure established by Sektion NIS.

The participating hospitals are primarily located in Germany (90%), but a rising number of hospitals of other countries contribute data as well (at the moment from Austria, Belgium, China, Finland, Luxembourg, Slovenia, Switzerland, The Netherlands, and the United Arab Emirates). Currently, the information of approximately 30,000 cases yearly, from over 600 hospitals, have been entered in the database. However, for the analysis in this study, only patients treated in German hospitals were considered.

The participation in the TR-DGU® is voluntary. For hospitals associated with TraumaNetzwerk DGU® however, the entry of at least a basic data set is obligatory for quality assurance.


In this study, the following parameters were compared between the NMTR and the TR-DGU®: age, sex, pre-injury ASA, injury scoring, injury pattern, mechanism of injury, injury distribution, pre-hospital timings, transportation method, pre-hospital intubation, treatment at hospital, discharge destination and mortality. NMTR documents 30-day mortality defined as death within 30 days after injury or before discharge from the main hospital while TR-DGU® documents hospital mortality. For reasons of comparability patients who died beyond day 30 were considered survivors in this analysis. Regarding injury coding, in TR-DGU® injuries were graded according to reduced (450 codes) version of AIS08. This reduction was possible due to numerous detailed injury descriptions (codes) with the same severity level. Such codes were merged into a single code, conserving the appropriate severity descriptor. On the other hand, according to the revised AIS85 version, a list of 152 injuries was used in the NMTR. Note that in this list, most of injuries have the same injury severity level, for instance: grade 3 for femur fractures, etc. So, NMTR reported the injury severity level instead the full AIS code. A few injuries thus had a different severity level as in the actual version of AIS used in TR-DGU®.

Expected mortality was defined as the average value of individual prognosis derived from the Revised Injury Severity Classification II (RISC II), a prognostic score developed from the TR-DGU® data. For the TR-DGU® we excluded the early transfer out patients (< 48 h) from the descriptive analysis because there was a risk of double counting; these patients may have been documented as “transfer in” patients from the receiving hospital; furthermore, outcome was missing in these cases so they were also excluded for RISC II calculations (Fig. 1). In addition, patients who were transferred in from another hospital were also excluded because RISC II scores and initial status on admission were not available for these study subjects [6].

Fig. 1
figure 1

Flow diagram of included and excluded patients in the outcome analysis

NMTR and TR-DGU® parameters were checked for comparability, and transformations had to be made for some of the variables before the analysis. Comparisons are based on real measurements; no imputations for patients with missing data were performed. The statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS version 23, IBM Inc., Armonk NY, USA).

Ethics approval

Navarra’s Local Medical Ethics Committee approved this study under Pyto 2016/48. The study is also in line with the publication guidelines of the TraumaRegister DGU® and registered as TR-DGU® project ID 2014–038.


Patient characteristics

For descriptive analysis, the present study included data of 646 patients from NMTR attended in three hospitals of Navarra and data of 48,799 patients attended in 611 hospitals with documentation in TR-DGU®. Figure 1 shows the flow chart of included and excluded patients.

Patient transfer patterns were similar in both trauma systems, with major trauma patients generally transferred from smaller hospitals to major trauma centers for definitive management. In Navarra, 22.4% (170 out of 646) of the patients were transferred between facilities; while in Germany this percentage was 11.7% (5689 out of 43,110).

Table 1 shows the characteristics of the patients included in the analysis. The average age at the time of injury was 57.9 ± 21.9 years in Navarra and 51.6 ± 20.7 years in Germany. The percentage of trauma patients by age group between both regions is shown in Fig. 2.

Table 1 Characteristics of severely injured patients between Germany and Navarra (Spain)
Fig. 2
figure 2

Percentage of patients by age group presenting with traumatic injuries in Navarra (Spain) and Germany

Injuries: mechanism, type, and distribution

Information related to injuries is shown in Table 2. The number of traffic accidents was higher in the TR-DGU® compared to the NMTR (55.6% vs 36.3%), while more low-height falls were attended in hospitals of Navarra compared to German hospitals (34.5% vs 20.0%).

Table 2 Type, intention and mechanism of injury

Figure 3 shows the distribution by age group of traffic accidents in the two registries and Fig. 4 displays the distribution by age group of low-height falls regarding to in both registries. A higher rate of chest, extremities, and abdominal trauma was determined from the Germany registry in comparison to Navarra registry (53.1% vs 42.5%, 31.4% vs 12.0 and 13.6% vs 8.2%, respectively). The prevalence of head injuries was higher in NMTR than TR-DGU® (61.5% vs 47.0%). However, isolated head injuries (e.g. AIS-code ≥3 in the head region, all other AIS-codes <2) were slightly more common in German hospitals compared to Navarra’s hospitals (15.0% vs 13.9%, respectively).

Fig. 3
figure 3

Percentage of traffic accidents by age group in both study regions

Fig. 4
figure 4

Percentage of low falls by age group in Navarra (Spain) and Germany

Prehospital setting

Prehospital details between both regions are shown in Table 3. In Germany, more patients were treated by physician-staffed ambulances than in Navarra (67.4% vs. 58.1%, respectively). Helicopters were more often used to transport trauma patients in Germany (25.8%) than Navarra (4.3%). German patients receive more volume than Navarra patients (88.6% with a median of 1000 ml vs 62.3% with a median of 500 ml). Regarding response times, Navarra’s prehospital team spend more time on scene than German teams (0:34 ± 0:21 vs 0:30 ± 0:17).

Table 3 Prehospital data

More unconscious patients were observed in Germany (24.2%) than in Navarra (14.6%). Intubation rates were higher in Germany than in Navarra (36.6% vs 11.8%, respectively). Furthermore, patients with GCS < 9 on scene were more intubated by German prehospital teams than Navarra teams as shown in Table 4.

Table 4 Prehospital intubation rate according to GCS 9–15 and GCS 3–8 between Germany and Navarra (Spain)

Diagnostic procedures and treatment at hospitals

Data on CT scans and surgical interventions, the prevalence in ICU, days ventilated (all intubated days and possible continuous positive airway pressure [CPAP] treatment counted together), the length of hospital stay, and the discharge destination are presented in Table 5.

Table 5 Hospital data and outcomes of severely injured patients of both regions

More CT scans were performed in Navarra’s hospitals than in German ones (96.2% vs 88.4%, respectively). However, more whole-body CT scans were made in Germany in comparison to Navarra (77.1% vs. 44.4%, respectively). It took more time to perform the first post-admission CT scan and the first surgical intervention in Navarra versus Germany (0:43 and 1:52 vs. 0:23 and 1:23, respectively).

Patients were more likely to be admitted to the ICU in German hospitals than in Navarra’s hospitals (91.4% vs. 36.0%, respectively). High percentage of ventilated patients (52.5% vs. 23.2%), more ventilation days (8.8 ± 11.5 vs. 5.8 ± 8.5) and longer periods of hospitalization were determined in Germany in comparison to Navarra (21.0 ± 20.9 vs. 12.1 ± 14.0 days).


30-day mortality was 21.6% in NMTR and 14.9% in TR-DGU®. Figure 5 shows the mortality rate of trauma patients by age group in both regions. The difference between the observed and expected mortality of all patients was −0.4% (standardized mortality ratio [SMR] 0.97; 95% CI 0.93–1.04) in Germany and 1.6% (SMR 1.08; 95% CI: 1.02–1.14) in Navarra.

Fig. 5
figure 5

Mortality of patients by age group presenting with traumatic injuries in Navarra (Spain) and Germany

In Navarra, 64.4% (401 out of 646) of patients were discharged home directly from the hospital, compared with 52.2% (21,497 out of 48,799) in Germany. The number of patients discharged to rehabilitation services was higher in Germany than in Navarra (32.3% vs. 2.9%).


The overall results of this study show that the adjusted mortality rates of severely injured patients treated in Navarra and Germany are comparable. RISC II prognosis considered in this study display slightly lower predicted mortality than the actual mortality available from the NMTR. This might be because a score derived prognosis refers to the expected outcome in the development population [17]. For RISC II, this is a trauma population mostly treated in Germany for the 2010/11 period [6].

Other reasons that support the observed differences could therefore also might be due to the difference in the trauma care systems and/or different populations in both registries.

There are some striking differences between Germany and Navarra regarding the profile of the injured patients. Figure 2 shows three peaks for individuals aged 20 and younger, 45–50, and 70 for the German patients and two peak points for those between 45 and 50 and 75–80 for the Navarra patients. It can be presumed that occurrence of trauma between the ages of 21 to 50 is dominated by a higher number of motor vehicle accidents or work-related accidents. It can also be inferred that the increase in trauma after the age of 65 is due to the weakening of the body and reduced attention.

In addition, Lefering et al. revealed that increasing age is a risk factor for post-trauma mortality [6]. Giannadous and co-workers reported that the mortality rate for patients ≥65 years in England and Wales, in 2008, was significantly higher than in younger trauma patients [18]. In the present study, Navarra patients were older than German ones which may explain the higher mortality found in this study (Fig. 5).

Most mechanisms of injury in both data registries were classified as blunt trauma, particularly in vehicle-related accidents and falls. However, more vehicle-related accidents and a high percentage of young injured patients were seen in the German data (Fig. 3). Drunk driving, drowsy driving, and careless driving are several examples of the causes of motor vehicle accidents, and all of them are prominent in young men in general [19]. The high percentage of young injured people in Germany compared to the observed in Navarra percentage may be due to the traffic culture and the relatively liberal speed limits on the German highways. In Navarra, the speed limit in highways is 100 km/h and 120 km/h in motorways.

Both registries revealed a high rate of falls from a low height, particularly in subjects >60 years of age (Fig. 4). Older people make up a large and increasing percentage of the population. As people grow older, there is a higher risk of falls and consequent injuries. Several studies have reported high rates of fall-related mortality among the elderly [20, 21].

The proportion of elderly people continues its upward trend. Consequently, there is an increase of falls from a low height as well as of injuries such as severe head trauma, In this study, a higher number of older patients and percentage of head traumas in the NMTR have been documented in comparison to TR-DGU®.

After having identified some differences between the two trauma populations, the next step is to determine if there are regional (Germany vs Navarre) distinctions in the treatment of trauma patients and the organization of trauma care.

In Navarra, paramedic resources for patient transport are used more frequently than in Germany. This is due to the Navarra’s prehospital organization. A significant percentage of patients were transferred from the villages (periphery) in Navarra. In some cases, doctors sent patients in an ambulance accompanied by a paramedic, after attending them at the scene of the accident. In other cases, doctors attended the patient at the scene of the accident then the patient was handed over to another ambulance team. Furthermore, changes in trauma patient profiles has led to modifications of the resource activation protocols by Navarra’s coordination center. For example, transfer of conscious elder patients with isolated head injury after low fall to hospitals is delivered by paramedic ambulances. In the past, these patients were also attended by physician-staffed resources but only for the transfer. Given the limited number of physician-staffed ambulances in Navarra, and cost effectiveness requirements, protocols have been updated to adjust better to trauma needs and the seriousness of the case.

Helicopters as a mean for the transport of patients are widely used in Germany [22], mainly because of the traffic congestion at highways, while they are rarely used in Navarra. One reason that may contribute to the reduced use of helicopter resources in Navarra is the limited experience in health resource mobilization of the coordinator. Bad weather conditions in Navarra also prevent their use for the transport of trauma patients. Further investigation on the coordination and management of helicopters in Navarra should be undertaken.

Prehospital intubation rates documented in TR-DGU® were more over two-fold higher than the recorded in NMTR, with even higher values in the past [23]. There are several possible explanations for this. First, patients transported by helicopter tend to be intubated more frequently before being transported because intubation during the flight is a difficult task. In this study, the use of helicopters for the transport of trauma patients by German prehospital teams was significantly higher than in Navarra. Second, relevant chest injuries detected in prehospital setting may lead doctors to intubate patients. In this study, higher rates of chest injuries were documented in TR-DGU® than in NMTR. Third, in Germany, prehospital intubation was quite common in recent years, and even GCS 15 patients were intubated in approximately 50% of polytrauma cases in the 1990s [23]. Fourth, the low percentage of intubation seen in Navarra may be because doctors preferred airway management methods different from endotracheal intubation. On the one hand, several studies have reported increased failure rates and severe complications in trauma patients who were intubated prehospitally [24]. Furthermore, airway management with other instruments like classic laryngeal mask airway, Combitube and Laryngeal Tube have proven to be useful in prehospital airway management [25].

Furthermore GCS ≤ 8 is a general indication for intubation in Germany as well as in Navarra. In this study, NMTR has shown lower intubation rates even in patients with GCS ≤ 8 (Table 4). As previously explained, the use of supraglottic airway devices may be one of the reasons for not intubating these patients in the prehospital settings. Another reason could be the presence at the scene of the accident of an emergency physician. As has been reported that about 5.6% of trauma patients from Navarra are transferred to the hospital in private vehicles. Other factors involved as the training of prehospital emergency medical services or the time taken to transfer the patients may also have contributed to these results [26]. However, additional critical evaluation is required in this subgroup of patients, since the prehospital guidelines of Navarra recommend endotracheal intubation of all patients with GCS < 9 and it is considered as one of the quality indicators of Navarra prehospital trauma organization. The increase in the number of non-intubations for patients with initial GCS ≤ 8 can be considered as a failure of the system in the prehospital organization, so that this measure should be given special attention when reorganizing prehospital care [8].

Even with similar prehospital response times between both regions, more trauma patients received volume and more volume was administrated in Germany than in Navarra. Debate continues regarding the strategy of fluid management in trauma, however aggressive crystalloid resuscitation needs to be avoided [27]. These findings should be taken into account for further improvement in the German prehospital setting.

Hospital treating severe trauma patients in Germany are divided into three categories – supraregional (I), regional (II) and local (III), according to their resources. When participating in the TraumaNetzwerk DGU®, each trauma center has to fulfil clearly defined standards for structure, process and outcome quality, as well as criteria for expertise and capacity [28]. In Navarra, as already mentioned in the Methods section, only three hospitals treat severe trauma patients in the entire area. CHN is the only tertiary referral hospital comparable to a level I trauma center since it can provide total care for every aspect of injury – from prevention through rehabilitation. However, it does not meet the minimum requirement for annual volume of severely injured patients established by the American College of Surgeon [29]. Furthermore, no specific requirements have been established for hospitals to treat severe trauma patients in Navarra. The other two hospitals in Navarra provide primary life-saving trauma care to trauma patients as local German trauma centers (level III), especially when primary transportation to regional trauma center is not possible [28].

More CT scans were performed in Navarra in comparison to German hospitals; however, the percentage of whole body CT scans was lower in Navarra. This is explained because in our hospitals doctors are still using selective CT scan rather than whole body CT scan. There is a lack of solid scientific evidence in favor of whole body CT scan [30, 31]. Several retrospective and prospective studies agreed on a time benefit in favor of whole body CT scanning but no consensus was obtained regarding a possible survival benefit [30, 32,33,34]. Furthermore, despite the favorable characteristics of CT scanning, it is still associated with a high radiation dose and might affect health care costs [35]. Despite the lack of proper scientific evidence, an increasing number of trauma centers are using whole body CT scan during trauma survey, either as a supplement to or as a replacement for conventional imaging [30, 32]. It has been shown that whole body CT in high-energy trauma does not affect patient care if the patient is mentally alert, not intoxicated and does not shows signs of other than minor injuries when evaluated by a trauma-team. The risk of missing important traumatic findings in these patients is very low. Observation of the patient with reexamination instead of imaging may be considered in this group of often young patients where radiation dose is an issue [36].

It took more time to perform the first CT scan in Navarra than in Germany. Accordingly, the time to first surgical intervention also increased. Probably, doctors attending trauma patients in Navarra take more time to evaluate these patients. Furthermore, the CT scanner in Navarra hospitals is located far from the resuscitation room and it takes some time to get there and perform the imaging. It was shown that the location of the CT scanner in or near the trauma room, as opposed its location at the Radiology Department, could also have a beneficial effect on the outcome [37]. Changes should be done in hospital protocols and infrastructures to reduce these times in Navarra.

Increased ICU utilization in Germany is reflected by the high proportion of patients admitted to the ICU, as seen in this study. It can be presumed that more severe cases tend to be admitted in the ICU. In this study, the severity of German trauma patients measured by ISS and NISS, was higher than that of Navarra trauma patients. Furthermore, different indications for critical care admission may also explain the difference of ICU admission found in this study. For example, in Germany non-intubated patients with bilateral lung contusions and chest tubes are usually monitored in the ICU [38]. In Navarra, the same patient is usually monitored on the emergency observation room (discharge within 24-72 h after injury) or on a regular ward.

In Germany, a higher number of trauma patients were on mechanical ventilation as well as for longer periods. Parenchymal lung injuries, such as pulmonary contusion, may require oxygenation and ventilation support through mechanical ventilation strategies [39]. For example, in this study higher rates of chest injuries were recorded in TR-DGU® in comparison to the NMTR. Furthermore, mechanical ventilation is one of the main reasons to admit patients to the ICU [40] even in Germany [41]. In Navarra, it is often provided in the emergency observation room or general chest ward rather than in the ICU.

Study patients in Germany stayed longer in the hospital in comparison with the stay in Navarra. Some studies have examined the length of hospitalization in trauma patients, indicating that prehospital interventions such as endotracheal intubation and other procedures performed by prehospital teams at the site of the trauma can be associated with other complications such as pneumonia. This may prolong hospital stays [42]. In this study, more prehospital intubations were performed by German prehospital teams than by Navarra teams.

German patients were transferred more frequently to rehabilitation facilities. Rehabilitation services are limited in Navarra and it is often done at home or in a local hospital, while German patients are transferred to a rehabilitation center [7].

The Navarra registry and TR-DGU®, both have different data collection procedures and inclusion criteria, a limitation of this study. In Navarra, as mentioned in the Methods section, patients were included into the database thanks to the collaboration of various users from different levels. A supervisor was responsible for data completeness, made sure the inclusion and exclusion criteria were met, and of the compliance of the Utstein style variables of each registered patient. TR-DGU® contains data from many different hospitals coded by multiple people. Although multiple plausibility controls are implemented, there is no data verification source for preventing entry errors. To minimize bias due to the previously mention limitation, definitions were carefully checked, and data were transformed into comparable variables where necessary. Some variables like ventilation days (if ventilated) was defined again for this analysis, as the Utstein template is not clear [4]. The different AIS versions used by both registries is a major limitation of this study and it may have affected the results of this comparison. Specifically, the outcome prediction may be affected in this comparison and requires a careful interpretation. Although for the majority of injuries the severity levels were not changed during the AIS revisions. It has been shown that different AIS versions (e.g. AIS98 vs. AIS08) are not always comparable [43]. However, a systematic assessment of AIS85 versus AIS08 was lacking. It has previously been shown that a comparison of survival for trauma registries that use different AIS editions is possible [44]. For trauma registries, a more contemporary AIS version should be adopted in order to enhance comparability with other registries. NMTR will update its AIS severity levels according to the recommendations by the Utstein trauma template [4].

Differences across the trauma systems and hospitals offer an opportunity to compare the different ways of treating trauma patients, which would not be possible within an existing system. In this study, the analysis of large versus small trauma centers between both regions could not be carried out. On one hand, choosing only larger trauma centers would result in a biased selection of cases. On the other hand, the number of hospitals in Navarra were too small to justify a subgroup analysis regarding size of hospital.

This comparison between the NMTR and the TR-DGU® shows there are areas in need of further improvement in both systems. Actions like massive publicity campaigns, tightening the penal code and speed limits (particularly on highways), may reduce the vehicle accidents in Germany and consequently reduce the percentage of injuries among the youngest population. Changes at hospital and prehospital level are needed in both systems to improve trauma quality care in both countries. Strategies to reduce the rate and severity of low-height falls may translate into positive results for trauma patient survival rates.


Both trauma registries, the NMTR and the TR-DGU®, provide data for epidemiological comparison and international benchmarking. The higher observed mortality determined in Navarra follows the epidemiological characteristics of its population. However, improvements are necessary at prehospital and hospital level to increase trauma quality care in Navarra. There were less young adults with severe injuries in Navarra than in Germany. It is possible to compare severely injured patients from different countries if standardized registries were used.


  1. Soreide K. Epidemiology of mayor trauma. Br J Surg. 2009;96:697–8.

    Article  CAS  PubMed  Google Scholar 

  2. Moore L, Clark DE. The value of trauma registries. Injury. 2008;39(6):686–95.

    Article  PubMed  Google Scholar 

  3. Belzunegui T, Fortún M, Reyero D, Teijeira R. Implantado en Navarra el primer registro de politraumatizados de base poblacional en España. Emergencias. 2013;25:196–200.

    Google Scholar 

  4. Ringdal KG, Coats TJ, Lefering R, Di Bartolomeo S, Steen PA, Røise O, Handolin L, Lossius HM. The Utstein template for uniform reporting of data following major trauma: a joint revision by SCANTEM, TARN, DGU-TR and RITG. Scand J Trauma Resusc Emerg Med. 2008;16:7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gómez de Segura Nieva JL, Boncompte MM, Sucunza AE, Louis CL, Segui-Gomez M, Otano TB. Comparison of mortality due to severe multiple trauma in two comprehensive models of emergency care: Atlantic Pyrenees (France) and Navarra (Spain). J Emerg Med. 2009;37(2):189–200.

    Article  PubMed  Google Scholar 

  6. Lefering R, Huber-Wagner S, Nienaber U, Maegele M, Bouillon B. Update of the trauma risk adjustment model of the TraumaRegister DGUTM: the revised injury severity classification, version II. Crit Care. 2014;18(5):476.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nijboer JM, Wullschleger ME, Nielsen SE, McNamee AM, Lefering R, Ten Duis HJ, Schuetz MA. A comparison of severely injured trauma patients treated in level I trauma centres in Queensland and Germany. ANZ J Surg. 2010;80:145–50.

    Article  PubMed  Google Scholar 

  8. Brinck T, Handolin L, Paffrath T, Lefering R. Trauma registry comparison: six-year results in trauma care in Southern Finland and Germany. Eur J Trauma Emerg Surg. 2015;1(5):509–16.

    Article  Google Scholar 

  9. Brilej D, Buhanec B, Komadina R, et al. Comparing results of treatment of major trauma patients between institutions – is TRISS methodology a valid tool? Eur J Trauma. 2006;32(suppl 1):60–1.

    Google Scholar 

  10. Wynn A, Wise M, Wright MJ, Rafaat A, Wang YZ, Steeb G, McSwain N, Beuchter KJ, Hunt JP. Accuracy of administrative and trauma registry databases. J Trauma. 2001;51:464–8.

    CAS  PubMed  Google Scholar 

  11. Sánchez FP, Sanz MB, Lorenzana LC, López FG. Calidad y registros en trauma. Med Int. 2015;39(2):114–23.

    Google Scholar 

  12. Wörz M, Busse R. Analyzing the impact of health-care system change in the EU member states – Germany. Health Econ. 2005;14:133–49.

    Article  Google Scholar 

  13. Westhoff J, Hildebrand F, Grotz M, Richter M, Pape HC, Krettek C. Trauma care in Germany. Injury. 2003;34(9):674–83.

    Article  CAS  PubMed  Google Scholar 

  14. Civil ID, Schwab CW. The abbreviated injury scale, 1985 revision: a condensed chart for clinical use. J Trauma. 1988;28(1):87–90.

    Article  CAS  PubMed  Google Scholar 

  15. Fortún Moral M, Ali Ali B, Montes Fernández LM, Rey Pecharromán JM, Teijeira Álvarez R, Belzunegui Otano T. La importancia de incluir las muertes prehospitalarias en los registros de traumatismo grave y su relación con la letalidad y la capacidad de predicción de la supervivencia. Emergencias. 2016;28:173–8.

    Google Scholar 

  16. Díez DR, Otano TB, Bermejo Fraile B, Louis CJ, Ramírez JR, Sucunza AE. Use of a structural deformity index as a predictor of severity among trauma victims in motor vehicle crashes. J Emerg Med. 2012;43(1):19–28.

    Article  Google Scholar 

  17. Altman DG, Royston P. What do we mean by validating a prognostic model? Stat Med. 2000;19:453–73.

    Article  CAS  PubMed  Google Scholar 

  18. Giannoudis PV, Harwood PJ, Court-Brown C, Pape HC. Severe and multiple trauma in older patients; incidence and mortality. Injury. 2009;40(4):362–7.

    Article  CAS  PubMed  Google Scholar 

  19. Hingson R, Winter M. Epidemiology and consequences of drinking and driving. Alcohol Res Health. 2003;27:63–78.

    PubMed  Google Scholar 

  20. Sampalis JS, Nathanson R, Vaillancourt J, Nikolis A, Liberman M, Angelopoulos J, et al. Assessment of mortality in older trauma patients sustaining injuries from falls or motor vehicle collisions treated in regional level I trauma centers. Ann Surg. 2009;249:488–95.

    Article  PubMed  Google Scholar 

  21. Aitken LM, Burmeister E, Lang J, Chaboyer W, Richmond TS. Characteristics and outcomes of injured older adults after hospital admission. J Am Geriatr Soc. 2010;58(3):442–9.

    Article  PubMed  Google Scholar 

  22. Andruszkow H, Hildebrand F, Lefering R, Pape HC, Hoffmann R, Schweigkofler U. Ten years of helicopter emergency medical services in Germany: do we still need the helicopter rescue in multiple traumatised patients? Injury. 2014;45(Suppl 3):S53–8.

    Article  PubMed  Google Scholar 

  23. TraumaRegister DGU(®). 20 years TraumaRegister DGU(®): development, aims and structure. Injury. 2014;45(Suppl 3):S6–S13.

    Google Scholar 

  24. Wang HE, Cook LJ, Chang CC, Yealy DM, Lave JR. Outcomes after out-of hospital endotracheal intubation errors. Resuscitation. 2009;80:50–5.

    Article  PubMed  Google Scholar 

  25. Cranshaw J, Nolan J. Airway management after major trauma. Contin Educ Anaesth Crit Care Pain. 2006;6:124–7.

    Article  Google Scholar 

  26. Bulger EM, Guffey D, Guyette FX, MacDonald RD, Brasel K, Kerby JD, Minei JP, Warden C, Rizoli S, Morrison LJ, Nichol G. Impact of prehospital mode of transport after severe injury: a multicenter evaluation from the Resuscitation Outcomes Consortium. J Trauma Acute Care Surg. 2012;72:567–73. discussion 573-565; quiz 803

    Article  PubMed  PubMed Central  Google Scholar 

  27. Chatrath V, Khetarpal R, Ahuja J. Fluid management in patients with trauma: restrictive versus liberal approach. J Anaesthesiol Clin Pharmacol. 2015;31(3):308–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zacher M, Kanz KG, Hanschen M, Häberle S, van Griensven M, Lefering R, Bühren V, Biberthaler P, Huber-Wagneret S. Association between volume of severely injured patients and mortality in German trauma hospitals. Br J Surg. 2015;102(10):1213–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Caputo LM, Salottolo KM, Slone DS, Mains CW, Bar-Or D. The relationship between patient volume and mortality in American trauma centres: a systematic review of the evidence. Injury. 2014;45:478–86.

    Article  PubMed  Google Scholar 

  30. Surendran A, Mori A, Varma DK, Gruen RL. Systematic review of the benefits and harms of whole-body computed tomography in the early management of multitrauma patients: are we getting the whole picture? J Trauma Acute Care Surg. 2014;76:1122–30.

    Article  PubMed  Google Scholar 

  31. Healy DA, Hegarty A, Feeley I, Clarke-Moloney M, Grace PA, Walsh SR. Systematic review and meta-analysis of routine total body CT compared with selective CT in trauma patients. Emerg Med J. 2013;31(2):101–8.

    Article  PubMed  Google Scholar 

  32. Salim A, Sangthong B, Martin M, Brown C, Plurad D, Demetriades D. Whole body imaging in blunt multisystem trauma patients without obvious signs of injury: results of a prospective study. Arch Surg. 2006;141(5):468–73.

    Article  PubMed  Google Scholar 

  33. Huber-Wagner S, Lefering R, Qvick LM, Korner M, Kay MV, Pfeifer KJ, Reiser M, Mutschler W, Kanz KG. Effect of whole-body CT during trauma resuscitation on survival: a retrospective, multicentre study. Lancet. 2009;373(9673):1455–61.

    Article  PubMed  Google Scholar 

  34. Huber-Wagner S, Biberthaler P, Haberle S, Wierer M, Dobritz M, Rummeny E, van Griensven M, Kanz KG, Lefering R. Whole-body CT in haemodynamically unstable severely injured patients - a retrospective. Multicentre study. PLoS One. 2013;8:e68880.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Brenner DJ, Hall EJ. Computed tomography- -an increasing source of radiation exposure. N Engl J Med. 2007;357:2277–84.

    Article  CAS  PubMed  Google Scholar 

  36. Linder F, Mani K, Juhlin C, Eklöf H. Routine whole body CT of high energy trauma leads to excessive radiation exposure. Scand J Trauma Resusc Emerg Med. 2016;24:7.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Huber-Wagner S, Mand C, Ruchholtz S, Kuhne CA, Holzapfel K, Kanz KG, Griensven MV, Biberthaler P, Lefering R, The TraumaRegister DGU. Effect of the localization of the CT scanner during trauma resuscitation on survival — a retrospective, multicentre study. Lancet. 2009;373:1455–61.

    Article  PubMed  Google Scholar 

  38. Hildebrand F. Management of polytraumatized patients with associated blunt chest trauma: a comparison of two European countries. Injury Int J Care Injured. 2005;36:293–302.

    Article  Google Scholar 

  39. Razi E. Mechanical ventilation in chest trauma. Arch Trauma Res. 2014;3(4):e25446.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Wunsch H, Wagner J, Herlim M, Chong DH, Kramer AA, Halpern SD. ICU occupancy and mechanical ventilator use in the United States. Crit Care Med. 2013;41:2712–9.

    Article  PubMed  Google Scholar 

  41. Martin J, Neurohr C, Bauer M, Weiss M, Schleppers A. Cost of intensive care in a German hospital: cost-unit accounting based on the InEK matrix. Anaesthesist. 2008;57:505–12.

    Article  CAS  PubMed  Google Scholar 

  42. Carr BG, Kaye AJ, Wiebe DJ, Gracias VH, Schwab CW, Reilly PM. Emergency department length of stay: a major risk factor for pneumonia in intubated blunt trauma patients. J Trauma. 2007;63:9–12.

    Article  PubMed  Google Scholar 

  43. Palmer CS, Franklyn M. Assesment of the effects and limitations of the 1998 to 2008 abbreviated injury scale map using a large population-based dataset. Scand J Trauma Emerg Resusc Med. 2011;19:1.

    Article  Google Scholar 

  44. Skaga NO, Eken T, Hestnes M, Jones JM, Steen PA. Scoring of anatomic injury after trauma: AIS 98 versus AIS 90 – do the changes affect overall severity assessment? Injury. 2007;38:84–90.

    Article  PubMed  Google Scholar 

Download references




No specific funding has been provided for this research.

Availability of data and materials

The data that support the findings of this study are available from [Academy for Trauma Surgery (AUC - Akademie der Unfallchirurgie GmbH), a company affiliated to the German Trauma Society & Polytrauma group of Navarra] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [Academy for Trauma Surgery (AUC - Akademie der Unfallchirurgie GmbH), a company affiliated to the German Trauma Society & Polytrauma group of Navarra].

Author information

Authors and Affiliations



BA and RL designed the study. BA and RL performed the analyses. BA, MF, TB and RL collected the data. BA and RL performed the statistical analysis and interpreted the results. BA drafted the manuscript. All authors critically reviewed the manuscript. All authors read and approved the final version of this manuscript.

Corresponding author

Correspondence to B. Ali Ali.

Ethics declarations

Ethics approval and consent to participate

This study received approval from the Local Medical Ethics Committee of Navarra, Spain under Pyto 2016/48. The present study is also in line with the publication guidelines of the TraumaRegister DGU® and registered as TR-DGU® project ID 2014-038.

Consent for publication

not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ali Ali, B., Lefering, R., Fortun Moral, M. et al. Epidemiological comparison between the Navarra Major Trauma Registry and the German Trauma Registry (TR-DGU®). Scand J Trauma Resusc Emerg Med 25, 107 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: