Department of Trauma Surgery, Orthopaedics and Plastic Surgery, Goettingen University Medical Center, Universitaetsmedizin Goettingen, Robert-Koch-Strasse 40, 37075, Göttingen, Germany.
Department of Orthopedic Trauma Surgery, BG Unfallklinik Frankfurt am Main, Frankfurt am Main, Germany.
Eur J Trauma Emerg Surg. 2024 Jun;50(3):925-935. doi: 10.1007/s00068-023-02374-x. Epub 2023 Oct 23.
The purpose of this study was to identify predictive factors for peri-pelvic vascular injury in patients with pelvic fractures and to incorporate these factors into a pelvic vascular injury score (P-VIS) to detect severe bleeding during the prehospital trauma management.
To identify potential predictive factors, data were taken (1) of a Level I Trauma Centre with 467 patients (ISS ≥ 16 and AIS ≥ 3). Analysis including patient's charts and digital recordings, radiographical diagnostics, mechanism and pattern of injury as well as the vascular bleeding source was performed. Statistical analysis was performed descriptively and through inference statistical calculation. To further analyse the predictive factors and finally develop the score, a 10-year time period (2012-2021) of (2) the TraumaRegister DGU (TR-DGU) was used in a second step. Relevant peri-pelvic bleeding in patients with AIS ≥ 3 (N = 9227) was defined as a combination of the following entities (target group PVI N = 2090; 22.7%): pelvic fracture with significant bleeding (> 20% of blood volume), Injury of the iliac or femoral artery or blood transfusion of ≥ 6 units (pRBC) prior to ICU admission. The multivariate analysis revealed nine items that constitute the pelvic vascular injury score (P-VIS).
In study (1), 467 blunt pelvic trauma patients were included of which 24 (PVI) were presented with significant vascular injury (PVI, N = 24; control (C, N = 443). Patients with pelvic fractures and vascular injury showed a higher ISS, lower haemoglobin at admission and lower blood pressure. Their mortality rate was higher (PVI: 17.4%, C: 10.3%). In the defining and validating process of the score within the TR-DGU, 9227 patients met the inclusion criteria. 2090 patients showed significant peripelvic vascular injury (PVI), the remaining 7137 formed the control group (C). Nine predictive parameters for peripelvic vascular injury constituted the peripelvic vascular injury score (P-VIS): age ≥ 70 years, high-energy-trauma, penetrating trauma/open pelvic injury, shock index ≥ 1, cardio-pulmonary-resuscitation (CPR), substitution of > 1 l fluid, intubation, necessity of catecholamine substitution, remaining shock (≤ 90 mmHg) under therapy. The multi-dimensional scoring system leads to an ordinal scaled rating according to the probability of the presence of a vascular injury. A score of ≥ 3 points described the peripelvic vascular injury as probable, a result of ≥ 6 points identified a most likely vascular injury and a score of 9 points identified an apparent peripelvic vascular injury. Reapplying this score to the study population a median score of 5 points (range 3-8) (PVI) and a median score of 2 points (range 0-3) (C) (p < 0.001). The OR for peripelvic vascular injury was 24.3 for the patients who scored > 3 points vs. ≤ 2 points. The TR-DGU data set verified these findings (median of 2 points in C vs. median of 3 points with in PVI).
The pelvic vascular injury score (P-VIS) allows an initial risk assessment for the presence of a vascular injury in patients with unstable pelvic injury. Thus, the management of these patients can be positively influenced at a very early stage, prehospital resuscitation performed safely targeted and further resources can be activated in the final treating Trauma Centre.
本研究旨在确定骨盆骨折患者发生围骨盆血管损伤的预测因素,并将这些因素纳入骨盆血管损伤评分(P-VIS)中,以检测院前创伤管理期间严重出血的情况。
为了确定潜在的预测因素,我们(1)对一个具有 467 名患者(ISS≥16 和 AIS≥3)的一级创伤中心的数据进行了分析。分析包括患者的病历和数字记录、影像学诊断、损伤机制和模式以及血管出血源。进行了描述性和推理统计计算的统计分析。为了进一步分析预测因素并最终开发评分,我们在第二步中使用了创伤登记处 DGU(TR-DGU)的 10 年时间(2012-2021 年)。在 AIS≥3 的患者中(N=9227),将以下实体的组合定义为围骨盆出血(目标组 PVI N=2090;22.7%):骨盆骨折伴明显出血(>20%的血容量)、髂或股动脉损伤或 ICU 入院前输血≥6 单位(pRBC)。多变量分析显示,构成骨盆血管损伤评分(P-VIS)的有九个项目。
在研究(1)中,纳入了 467 例钝性骨盆创伤患者,其中 24 例(PVI)出现了明显的血管损伤(PVI,N=24;对照组(C,N=443)。骨盆骨折合并血管损伤的患者 ISS 较高,入院时血红蛋白较低,血压较低。他们的死亡率更高(PVI:17.4%,C:10.3%)。在 TR-DGU 中对评分进行定义和验证的过程中,9227 名患者符合纳入标准。2090 名患者出现明显围骨盆血管损伤(PVI),其余 7137 名患者形成对照组(C)。9 个预测参数构成了围骨盆血管损伤评分(P-VIS):年龄≥70 岁、高能创伤、穿透性创伤/开放性骨盆损伤、休克指数≥1、心肺复苏(CPR)、替代液量>1 升、插管、需要儿茶酚胺替代、治疗下仍存在休克(≤90mmHg)。多维评分系统根据血管损伤的可能性进行有序评分。得分≥3 分描述为可能存在血管损伤,得分≥6 分确定为最可能的血管损伤,得分 9 分确定为明显的围骨盆血管损伤。将该评分应用于研究人群,骨盆血管损伤的中位数评分为 5 分(范围 3-8)(PVI)和中位数评分为 2 分(范围 0-3)(C)(p<0.001)。骨盆血管损伤的 OR 为评分>3 分与≤2 分的 24.3 倍。TR-DGU 数据集验证了这些发现(C 中的中位数为 2 分,PVI 中的中位数为 3 分)。
骨盆血管损伤评分(P-VIS)可对不稳定骨盆损伤患者的血管损伤存在情况进行初步风险评估。因此,可以在早期阶段积极影响这些患者的管理,安全地靶向进行院前复苏,并在最终治疗创伤中心进一步激活其他资源。