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Background: Approximately 30,000 people are affected by severe injuries in Germany each year. Continuous progress in prehospital and hospital care has significantly reduced the mortality of polytrauma patients. With increasing survival rates, the functional outcome, health-related quality (hrQoL) of life and ability to work are now gaining importance. Aim of the study is, the presentation of the response behavior of seriously injured patients on the one hand and the examination of the factors influencing the quality of life and ability to work 12 months after major trauma on the other hand. Building on these initial results, a standard outcome tool shall be integrated in the established TraumaRegister DGU® in the future., Methods: In 2018, patients [Injury Severity Score (ISS) ≥ 16; age:18-75 years] underwent multicenter one-year posttraumatic follow-up in six study hospitals. In addition to assessing hrQoL by using the Short-Form Health Survey (SF-12), five additional questions (treatment satisfaction; ability to work; trauma-related medical treatment; relevant physical disability, hrQoL as compared with the prior to injury status) were applied., Results: Of the 1,162 patients contacted, 594 responded and were included in the analysis. The post-injury hrQoL does not show statistically significant differences between the sexes. Regarding age, however, the younger the patient at injury, the better the SF-12 physical sum score. Furthermore, the physically perceived quality of life decreases statistically significantly in relation to the severity of the trauma as measured by the ISS, whereas the mentally perceived quality of life shows no differences in terms of injury severity. A large proportion of severely injured patients were very satisfied (42.2%) or satisfied (39.9%) with the treatment outcome. It should be emphasized that patients with a high injury severity (ISS > 50) were on average more often very satisfied with the treatment outcome (46.7%). A total of 429 patients provided information on their ability to work 12 months post-injury. Here, 194 (45.2%) patients had a full employment, and 58 (13.5%) patients were had a restricted employment., Conclusion: The present results show the importance of a structured assessment of the postinjury hrQoL and the ability to work after polytrauma. Further studies on the detection of influenceable risk factors on hrQoL and ability to work in the intersectoral course of treatment should follow to enable the best possible outcome of polytrauma survivors., (© 2024. The Author(s).)

Background: Autopsies have long been considered the gold standard for quality assurance in medicine, yet their significance in basic research has been relatively overlooked. The COVID-19 pandemic underscored the potential of autopsies in understanding pathophysiology, therapy, and disease management. In response, the German Registry for COVID-19 Autopsies (DeRegCOVID) was established in April 2020, followed by the DEFEAT PANDEMIcs consortium (2020-2021), which evolved into the National Autopsy Network (NATON)., Deregcovid: DeRegCOVID collected and analyzed autopsy data from COVID-19 deceased in Germany over three years, serving as the largest national multicenter autopsy study. Results identified crucial factors in severe/fatal cases, such as pulmonary vascular thromboemboli and the intricate virus-immune interplay. DeRegCOVID served as a central hub for data analysis, research inquiries, and public communication, playing a vital role in informing policy changes and responding to health authorities., Naton: Initiated by the Network University Medicine (NUM), NATON emerged as a sustainable infrastructure for autopsy-based research. NATON aims to provide a data and method platform, fostering collaboration across pathology, neuropathology, and legal medicine. Its structure supports a swift feedback loop between research, patient care, and pandemic management., Conclusion: DeRegCOVID has significantly contributed to understanding COVID-19 pathophysiology, leading to the establishment of NATON. The National Autopsy Registry (NAREG), as its successor, embodies a modular and adaptable approach, aiming to enhance autopsy-based research collaboration nationally and, potentially, internationally., (© 2024. The Author(s).)

To decrypt the complexity of the posttraumatic immune responses and to potentially identify novel research pathways for exploration, large-scale multi-center projects including not only in vivo and in vitro modeling, but also temporal sample and material collection along with clinical data capture from multiply injured patients is of utmost importance. To meet this gap, a nationwide biobank for fluidic samples from polytraumatized patients was initiated in 2013 by the task force Network "Trauma Research" (Netzwerk Traumaforschung, NTF) of the German Trauma Society (Deutsche Gesellschaft für Unfallchirurgie e.V., DGU). The NTF-Biobank completes the clinical NTF-Biobank Database and complements the TR-DGU with temporal biological samples from multiply injured patients. The concept behind the idea of the NTF-Biobank was to create a robust interface for meaningful innovative basic, translational and clinical research. For the first time, an integrated platform to prospectively evaluate and monitor candidate biomarkers and/or potential therapeutic targets in biological specimens of quality-controlled and documented patients is introduced, allowing reduction in variability of measurements with high impact due to its large sample size. Thus, the project was introduced to systemically evaluate and monitor multiply injured patients for their (patho-)physiological sequalae together with their clinical treatment strategies applied for overall outcome improval.

Background: Since the publication in 1993, the dataset and documentation form of the TraumaRegister DGU® (TR-DGU) have continuously evolved. On the occasion of the 25th anniversary the authors have analyzed this evolution in order to reflect it in the light of medical progress in the treatment of the severely injured., Material and Methods: Enrolled in the study were 5 reference data entry sheets from the years 1993, 1996, 2002, 2009 and 2016. Every piece of information (item) queried therein was entered into the study database, was categorized by topic and counted for further analysis., Results: The arrangement of the 4‑page data entry form has remained practically unchanged since 1993 and includes an average of 212 items. A total of 491 items were identified of which 64 were present throughout every dataset. Based on the average extent of the form this equals a proportion of approximately 30%. The dataset actually shows much more consistency than this number suggests because many changes can be traced back to a smarter design of the data entry form. Most items fell into the categories "results/diagnosis" (143 items/29.1%), "coagulation" (104/21.2%) and "surgical approach" (40/8.1%). Many items serve as raw data for the calculation of prognostic risk scores, such as the trauma and injury severity score (TRISS), the revised injury severity classification II (RISC II) and the trauma associated severe hemorrhage (TASH) score. Currently, nine scores can be calculated from the dataset., Conclusion: The members of the working group TraumaRegister all actively participate in the treatment of severely injured patients. For 25 years this group has managed to unify the latest medical developments and well-established parameters within the TR-DGU dataset at a relatively constant degree of effort for documentation. Practice in place of theory is the driving force behind this development that serves quality assurance and research in the treatment of severely injured patients.

Since its founding in 1993 the TraumaRegister DGU® has become one of the largest registries especially in terms of data diversity. Since the introduction of the TraumaNetzwerk DGU®, the TraumaRegister DGU® has enabled a quasi-nationwide picture of the quality of care of severely injured patients in Germany. The register is subject to constant development, under the guidance of the working groups of the German Society for Trauma Surgery (DGU). The first modular expansion of special injury entities (craniocerebral trauma and complex hand injuries) is currently taking place. The future developments will involve the extension of the register to certain injury patterns. The existing registry will also be supplemented with other recorded qualities (from the supplementary serum database up to the quality of life). This makes the TraumaRegister DGU® a tool for quality assurance and science which is well prepared for the future.

Background: Registries are becoming increasingly more important in clinical research. The TraumaRegister DGU® of the German Society for Trauma Surgery plays an excellent role with respect to the care of severely injured patients., Aim: Within the framework of this investigation the quality of data provided by this registry was to be verified., Material and Methods: Certified hospitals participating in the TraumaNetzwerk DGU® of the German Society for Trauma Surgery are obliged to submit data of treated severely injured patients to the TraumaRegister DGU®. Participating hospitals have to undergo a re-certification process every 3 years. Within the framework of this re-audit, data from 5 out of 8 randomly chosen patient cases included in the registry are controlled and compared to the patient files of the certified hospital. In the present investigation discrepancies concerning data provided were documented and the pattern of deviation was analyzed., Results: The results of 1075 re-certification processes carried out in 631 hospitals including the documentation of 5409 checked patient cases from 2012-2017 were analyzed. The highest number of discrepancies detected concerned the documented time until initial CT (15.8%) and the lowest concerned the discharge site (3.2%). The majority of data sheets with discrepancies showed deviations in only one out of seven checked parameters. Interestingly, large trauma centers with a high throughput of severely injured patients showed the most deviations., Conclusion: The present investigation underlines the importance of standardized checks concerning data provided for registries in order to be able to guarantee an improvement in entering data.

Background: Since 2014, hospitals with ortho-geriatric fracture centres could be certified as AltersTraumaZentrum DGU® in Germany. To measure the quality of treatment in these centres, a geriatric trauma registry (AltersTraumaRegister DGU®) was established., Objectives: The aim of this work was to report the results of the pilot phase of the AltersTraumaRegister DGU® from the year 2015., Materials and Methods: Included were 118 patients >70 years with hip fracture or implant-related femoral fractures. Apart from other parameters, the point of surgery, initiation of anti-osteoporotic treatment and the EQ-5D one week post-surgery was measured., Results: Surgery was performed in 87% of patients within 24 h. Specific osteoporotic therapy could be increased from 4 to 63 patients. The EQ-5D was strongly restricted to one week post-surgery., Conclusion: Based on the timing of surgery and anti-osteoporotic therapy, the treatment seems to be successful in the ortho-geriatric fracture centres. For a better evaluation of treatment quality in the AltersTraumaZentren DGU®, implementation of follow-up examinations in the AltersTraumaRegister DGU® is essential.

Background: A new classification of hypovolemic shock based on the shock index (SI) was proposed in 2013. This classification contains four classes of shock and shows good correlation with acidosis, blood product need and mortality. Since their applicability was questioned, the aim of this study was to verify the validity of the new classification in multiple injured patients with traumatic brain injury., Methods: Between 2002 and 2013, data from 40 888 patients from the TraumaRegister DGU ® were analysed. Patients were classified according to their initial SI at hospital admission (Class I: SI < 0.6, class II: SI ≥0.6 to <1.0, class III SI ≥1.0 to <1.4, class IV: SI ≥1.4). Patients with an additional severe TBI (AIS ≥ 3) were compared to patients without severe TBI., Results: 16,760 multiple injured patients with TBI (AIS head ≥3) were compared to 24,128 patients without severe TBI. With worsening of SI class, mortality rate increased from 20 to 53% in TBI patients. Worsening SI classes were associated with decreased haemoglobin, platelet counts and Quick's values. The number of blood units transfused correlated with worsening of SI. Massive transfusion rates increased from 3% in class I to 46% in class IV. The accuracy for predicting transfusion requirements did not differ between TBI and Non TBI patients., Discussion: The use of the SI based classification enables a quick assessment of patients in hypovolemic shock based on universally available parameters. Although the pathophysiology in TBI and Non TBI patients and early treatment methods such as the use of vasopressors differ, both groups showed an identical probability of recieving blood products within the respective SI class., Conclusion: Regardless of the presence of TBI, the classification of hypovolemic shock based on the SI enables a fast and reliable assessment of hypovolemic shock in the emergency department. Therefore, the presented study supports the SI as a feasible tool to assess patients at risk for blood product transfusions, even in the presence of severe TBI.

Background: Complex pelvic traumas, i.e., pelvic fractures accompanied by pelvic soft tissue injuries, still have an unacceptably high mortality rate of about 18 %., Patients and Methods: We retrospectively evaluated an intersection set of data from the TraumaRegister DGU® and the German Pelvic Injury Register from 2004-2009. Patients with complex and noncomplex pelvic traumas were compared regarding their vital parameters, emergency management, stay in the ICU, and outcome., Results: From a total of 344 patients with pelvic injuries, 21 % of patients had a complex and 79 % a noncomplex trauma. Complex traumas were significantly less likely to survive (16.7 % vs. 5.9 %). Whereas vital parameters and emergency treatment in the preclinical setting did not differ substantially, patients with complex traumas were more often in shock and showed acute traumatic coagulopathy on hospital arrival, which resulted in more fluid volumes and transfusions when compared to patients with noncomplex traumas. Furthermore, patients with complex traumas had more complications and longer ICU stays., Conclusion: Prevention of exsanguination and complications like multiple organ dysfunction syndrome still pose a major challenge in the management of complex pelvic traumas.

Introduction: The TraumaRegister DGU™ (TR-DGU) has used the Revised Injury Severity Classification (RISC) score for outcome adjustment since 2003. In recent years, however, the observed mortality rate has fallen to about 2% below the prognosis, and it was felt that further prognostic factors, like pupil size and reaction, should be included as well. Finally, an increasing number of cases did not receive a RISC prognosis due to the missing values. Therefore, there was a need for an updated model for risk of death prediction in severely injured patients to be developed and validated using the most recent data., Methods: The TR-DGU has been collecting data from severely injured patients since 1993. All injuries are coded according to the Abbreviated Injury Scale (AIS, version 2008). Severely injured patients from Europe (ISS ≥ 4) documented between 2010 and 2011 were selected for developing the new score (n = 30,866), and 21,918 patients from 2012 were used for validation. Age and injury codes were required, and transferred patients were excluded. Logistic regression analysis was applied with hospital mortality as the dependent variable. Results were evaluated in terms of discrimination (area under the receiver operating characteristic curve, AUC), precision (observed versus predicted mortality), and calibration (Hosmer-Lemeshow goodness-of-fit statistic)., Results: The mean age of the development population was 47.3 years; 71.6% were males, and the average ISS was 19.3 points. Hospital mortality rate was 11.5% in this group. The new RISC II model consists of the following predictors: worst and second-worst injury (AIS severity level), head injury, age, sex, pupil reactivity and size, pre-injury health status, blood pressure, acidosis (base deficit), coagulation, haemoglobin, and cardiopulmonary resuscitation. Missing values are included as a separate category for every variable. In the development and the validation dataset, the new RISC II outperformed the original RISC score, for example AUC in the development dataset 0.953 versus 0.939., Conclusions: The updated RISC II prognostic score has several advantages over the previous RISC model. Discrimination, precision and calibration are improved, and patients with partial missing values could now be included. Results were confirmed in a validation dataset.

Background: The TraumaRegister DGU® of the German Society for Trauma Surgery (TR-DGU) has collected data on the treatment of severely injured accident victims in Germany since 1993. Due to the current number of more than 600 participating clinics which regularly receive quality comparison reports, these register data are becoming an increasingly more valuable source for healthcare research., Objectives: The aims of this article are to describe the potential of the TR-DGU for dealing with epidemiological questions and for describing the quality of the process and results for treatment of severely injured patients., Material and Methods: The TR-DGU includes approximately 100 details per patient on the person, the circumstances of the accident, the injury pattern, the preclinical and hospital treatment, the condition of the patient and the outcome. Using comparative analyses the observed mortality is adjusted by considering prognostically relevant findings. Some key features of the register are reported for patients who were treated in German hospitals between 2002 and 2012 with an injury severity score (ISS) of  ≥9 points., Results: Since 1993 more than 122,000 patients have been included in the register. The majority are traffic accident victims (57 %), followed by patients with falls from low heights (< 3 m, 17 %) or greater heights (> 3 m, 16 %). Among the traffic accident victims approximately one half are car drivers or passengers (46 %), one quarter are motorbike drivers (25 %) and the rest are cyclists (14 %) and pedestrians (13 %). The mortality of patients with an ISS ³ 9 is 12.8 %. This value is approximately 1-2 % below the expected prognosis based on data from the 1990s., Discussion: The TR-DGU is not only a successful instrument for external quality assurance of the treatment of severely injured patients but also an increasingly more valuable source for scientific evaluation within the framework of healthcare research. The introduction of regional trauma networks by the DGU has made a substantial contribution to the comprehensive compilation of severely injured patients and allows increasingly more detailed information on the epidemiology of severe injuries in Germany to be compiled.

Introduction: Isolated vital signs (for example, heart rate or systolic blood pressure) have been shown unreliable in the assessment of hypovolemic shock. In contrast, the Shock Index (SI), defined by the ratio of heart rate to systolic blood pressure, has been advocated to better risk-stratify patients for increased transfusion requirements and early mortality. Recently, our group has developed a novel and clinical reliable classification of hypovolemic shock based upon four classes of worsening base deficit (BD). The objective of this study was to correlate this classification to corresponding strata of SI for the rapid assessment of trauma patients in the absence of laboratory parameters., Methods: Between 2002 and 2011, data for 21,853 adult trauma patients were retrieved from the TraumaRegister DGU database and divided into four strata of worsening SI at emergency department arrival (group I, SI <0.6; group II, SI ≥0.6 to <1.0; group III, SI ≥1.0 to <1.4; and group IV, SI ≥1.4) and were assessed for demographics, injury characteristics, transfusion requirements, fluid resuscitation and outcomes. The four strata of worsening SI were compared with our recently suggested BD-based classification of hypovolemic shock., Results: Worsening of SI was associated with increasing injury severity scores from 19.3 (± 12) in group I to 37.3 (± 16.8) in group IV, while mortality increased from 10.9% to 39.8%. Increments in SI paralleled increasing fluid resuscitation, vasopressor use and decreasing hemoglobin, platelet counts and Quick's values. The number of blood units transfused increased from 1.0 (± 4.8) in group I to 21.4 (± 26.2) in group IV patients. Of patients, 31% in group III and 57% in group IV required ≥10 blood units until ICU admission. The four strata of SI discriminated transfusion requirements and massive transfusion rates equally with our recently introduced BD-based classification of hypovolemic shock., Conclusion: SI upon emergency department arrival may be considered a clinical indicator of hypovolemic shock in respect to transfusion requirements, hemostatic resuscitation and mortality. The four SI groups have been shown to equal our recently suggested BD-based classification. In daily clinical practice, SI may be used to assess the presence of hypovolemic shock if point-of-care testing technology is not available.

Introduction: The recognition and management of hypovolemic shock still remain an important task during initial trauma assessment. Recently, we have questioned the validity of the Advanced Trauma Life Support (ATLS) classification of hypovolemic shock by demonstrating that the suggested combination of heart rate, systolic blood pressure and Glasgow Coma Scale displays substantial deficits in reflecting clinical reality. The aim of this study was to introduce and validate a new classification of hypovolemic shock based upon base deficit (BD) at emergency department (ED) arrival., Methods: Between 2002 and 2010, 16,305 patients were retrieved from the TraumaRegister DGU® database, classified into four strata of worsening BD [class I (BD≤2 mmol/l), class II (BD>2.0 to 6.0 mmol/l), class III (BD>6.0 to 10 mmol/l) and class IV (BD>10 mmol/l)] and assessed for demographics, injury characteristics, transfusion requirements and fluid resuscitation. This new BD-based classification was validated to the current ATLS classification of hypovolemic shock., Results: With worsening of BD, injury severity score (ISS) increased in a step-wise pattern from 19.1 (±11.9) in class I to 36.7 (±17.6) in class IV, while mortality increased in parallel from 7.4% to 51.5%. Decreasing hemoglobin and prothrombin ratios as well as the amount of transfusions and fluid resuscitation paralleled the increasing frequency of hypovolemic shock within the four classes. The number of blood units transfused increased from 1.5 (±5.9) in class I patients to 20.3 (±27.3) in class IV patients. Massive transfusion rates increased from 5% in class I to 52% in class IV. The new introduced BD-based classification of hypovolemic shock discriminated transfusion requirements, massive transfusion and mortality rates significantly better compared to the conventional ATLS classification of hypovolemic shock (p<0.001)., Conclusions: BD may be superior to the current ATLS classification of hypovolemic shock in identifying the presence of hypovolemic shock and in risk stratifying patients in need of early blood product transfusion.

Aim: The aim of this study was to validate the classification of hypovolaemic shock given by the Advanced Trauma Life Support (ATLS)., Methods: Patients derived from the TraumaRegister DGU(®) database between 2002 and 2010 were analyzed. First, patients were allocated into the four classes of hypovolaemic shock by matching the combination of heart rate (HR), systolic blood pressure (SBP) and Glasgow Coma Scale (GCS) according to ATLS. Second, patients were classified by only one parameter (HR, SBP or GCS) according to the ATLS classification and the corresponding changes of the remaining two parameters were assessed within these four groups. Analyses of demographic, injury and therapy characteristics were performed as well., Results: 36,504 patients were identified for further analysis. Only 3411 patients (9.3%) could be adequately classified according to ATLS, whereas 33,093 did not match the combination of all three criteria given by ATLS. When patients were grouped by HR, there was only a slight reduction of SBP associated with tachycardia. The median GCS declined from 12 to 3. When grouped by SBP, GCS dropped from 13 to 3 while there was no relevant tachycardia observed in any group. Patients with a GCS=15 presented normotensive and with a HR of 88/min, whereas patients with a GCS<12 showed a slight reduced SBP of 117mmHg and HR was unaltered., Conclusion: This study indicates that the ATLS classification of hypovolaemic shock does not seem to reflect clinical reality accurately., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

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