Association between intra-abdominal injured organs and abdominal compartment syndrome in patients with severe blunt trauma: A propensity score matched study using nationwide trauma registry in Japan.

INTRODUCTION: Abdominal compartment syndrome (ACS) after blunt abdominal trauma is a rare complication that requires early recognition and subsequent surgical intervention for optimal outcome. We aimed to investigate how differences in injured abdominal organs affect ACS development in patients with severe blunt abdominal trauma. METHODS: This nested case-control study used a nationwide registry of trauma patients, namely, the Japan Trauma Data Bank (JTDB), and only included patients aged ≥ 18 years with blunt severe abdominal trauma, defined as an AIS score of abdomen ≥ 3, sustained between 2004 and 2017. Patients without ACS were used as control subjects and identified using propensity score (PS) matching. Characteristics and outcomes between patients with and without ACS were compared and logistic regression was used to identify specific risk factors for ACS. RESULTS: Among 294,274 patients in the JTDB, 11,220 were eligible for inclusion before PS matching, and 150 (1.3%) developed ACS after trauma. PS matching led to the inclusion of 131 and 655 patients with and without ACS, respectively. Compared to controls, patients with ACS had higher number of injured organs in the abdomen and displayed a greater frequency of vascular and pancreatic injuries, need for blood transfusion, and disseminated intravascular coagulopathy, a complication of ACS. In-hospital mortality was higher in patients with ACS than those without ACS (51.1% vs. 26.0%, p < 0.01). Logistic regression analysis revealed that a higher number of injured organs in the abdomen [odds ratio (OR) (95% confidence interval [CI]): 1.76 (1.23-2.53)] and pancreatic injury [OR (95% CI): 1.53 (1.03-2.27)] were independently associated with ACS. CONCLUSIONS: Greater number of injured organs in abdomen and pancreatic injury are independent risk factors for the development of ACS.

A nested case-control study of risk for pulmonary embolism in the general trauma population using nationwide trauma registry data in Japan.

Post-trauma patients are at great risk of pulmonary embolism (PE), however, data assessing specific risk factors for post-traumatic PE are scarce. This was a nested case-control study using the Japan Trauma Data Bank between 2004 and 2017. We enrolled patients aged ≥ 16 years, Injury Severity Score ≥ 9, and length of hospital stay ≥ 2 days, with PE and without PE, using propensity score matching. We conducted logistic regression analyses to examine risk factors for PE. We included 719 patients with PE and 3595 patients without PE. Of these patients, 1864 [43.2%] were male, and their median Interquartile Range (IQR) age was 73 [55-84] years. The major mechanism of injury was blunt (4282 [99.3%]). Median [IQR] Injury Severity Score (ISS) was 10 [9-18]. In the multivariate analysis, the variables spinal injury [odds ratio (OR), 1.40 (1.03-1.89)]; long bone open fracture in upper extremity and lower extremity [OR, 1.51 (1.06-2.15) and OR, 3.69 (2.89-4.71), respectively]; central vein catheter [OR, 2.17 (1.44-3.27)]; and any surgery [OR, 4.48 (3.46-5.81)] were independently associated with PE. Spinal injury, long bone open fracture in extremities, central vein catheter placement, and any surgery were risk factors for post-traumatic PE. Prompt initiation of prophylaxis is needed for patients with such trauma.

The impact of infection complications after trauma differs according to trauma severity.

The impact of infection on the prognosis of trauma patients according to severity remains unclear. We assessed the impact of infection complications on in-hospital mortality among patients with trauma according to severity. This retrospective cohort study used a nationwide registry of trauma patients. Patients aged ≥ 18 years with blunt or penetrating trauma who were admitted to intensive care units or general wards between 2004 and 2017 were included. We compared the baseline characteristics and outcomes between patients with and without infection and conducted a multivariable logistic regression analysis to investigate the impact of infection on in-hospital mortality according to trauma severity, which was classified as mild [Injury Severity Score (ISS) < 15], moderate (ISS 15-29), or severe (ISS ≥ 30). Among the 150,948 patients in this study, 10,338 (6.8%) developed infections. Patients with infection had greater in-hospital mortality than patients without infection [1085 (10.5%) vs. 2898 (2.1%), p < 0.01]. After adjusting for clinical characteristics, in-hospital mortality differed between trauma patients with and without infection according to trauma severity [17.1% (95% CI 15.2-18.9%) vs. 2.9% (95% CI 2.7-3.1%), p < 0.01, in patients with mild trauma; 14.8% (95% CI 13.3-16.3%) vs. 8.4% (95% CI 7.9-8.8%), p < 0.01, in patients with moderate trauma; and 13.5% (95% CI 11.2-15.7%) vs. 13.7% (95% CI 12.4-14.9%), p = 0.86, in patients with severe trauma]. In conclusion, the effect of infection complications in patients with trauma on in-hospital mortality differs by trauma severity.

Adequacy of hand positioning by medical personnel during chest compression in a simulation study.

AIM: During chest compressions (CCs), the hand position at the lower half of the sternum is not strictly maintained, unlike depth or rate. This study was conducted to determine whether medical staff could adequately push at a marked location on the lower half of the sternum, identify where the inappropriate hand position was shifted to, and correct the inappropriate hand position. METHODS: This simulation-based, prospective single-center study enrolled 44 medical personnel. Pressure and hand position during CC were ascertained using a flexible pressure sensor. The participants were divided into four groups by standing position and the hand in contact with the sternum: right-left (R-l), right-right (R-r), left-right (L-r), and left-left (L-l). We compared the groups and the methods: the manual method (MM), the thenar method, and the hypothenar method (HM). RESULTS: Among participants using the MM, 80% did not push adequately at the marked location on the lower half of the sternum; 60%-90% of the inadequate positions were shifted to the hypothenar side. CCs with the HM facilitated stronger pressure, and the position was minimally shifted to the hypothenar side. CONCLUSION: Medical staff could not push at an appropriate position during CCs. Resuscitation courses should be designed to educate personnel on the appropriate position for application of maximal pressure while also evaluating the position during CCs.

Risk Factors of Fat Embolism Syndrome After Trauma: A Nested Case-Control Study With the Use of a Nationwide Trauma Registry in Japan.

BACKGROUND: Fat embolism syndrome (FES) is a rare syndrome resulting from a fat embolism, which is defined by the presence of fat globules in the pulmonary microcirculation; it is associated with a wide range of symptoms. RESEARCH QUESTION: What are the specific unknown risk factors for FES after we have controlled for basic characteristics and patient's severity? STUDY DESIGN AND METHODS: This was a nested case-control study that used the Japan Trauma Data Bank database from 2004 and 2017. We included patients with FES and identified patients without FES as control subjects using a propensity score matching. The primary outcome was the presence of FES during a hospital stay. RESULTS: There were 209 (0.1%) patients with FES after trauma; they were compared with 2,090 matched patients from 168,835 candidates for this study. Patients with FES had long bone and open fractures in their extremities more frequently than those without FES. Regarding treatments, patients with FES received bone reduction and fixation more than those without FES. Among patients who received bone reduction and fixation, time to operation was not different between the groups (P = .63). The overall in-hospital mortality rate was 5.8% in patients with FES and 3.4% in those without FES (P = .11). Conditional logistic regression models to identify risk factors associated with FES shows long bone and open fractures in extremities injury were associated with FES. Primary bone reduction and fixation was not associated independently with FES (OR, 1.80; 95% CI, 0.92-3.54), but delay time to the operation was associated with FES (OR, 2.21; 95% CI, 1.16-4.23). INTERPRETATION: Long bone and open fractures in injuries to the extremities were associated with FES. Although bone reduction and fixation were not associated with FES, delay time to the operation was associated with FES.

Trauma complications and in-hospital mortality: failure-to-rescue.

BACKGROUND: Reducing medical errors and minimizing complications have become the focus of quality improvement in medicine. Failure-to-rescue (FTR) is defined as death after a surgical complication, which is an institution-level surgical safety and quality metric that is an important variable affecting mortality rates in hospitals. This study aims to examine whether complication and FTR are different across low- and high-mortality hospitals for trauma care. METHODS: This was a retrospective cohort study performed at trauma care hospitals registered at Japan Trauma Data Bank (JTDB) from 2004 to 2017. Trauma patients aged ≥ 15 years with injury severity score (ISS) of ≥ 3 and those who survived for > 48 h after hospital admission were included. The hospitals in JTDB were categorized into three groups by standardized mortality rate. We compared trauma complications, FTR, and in-hospital mortality by a standardized mortality rate (divided by the institute-level quartile). RESULTS: Among 184,214 patients that were enrolled, the rate of any complication was 12.7%. The overall mortality rate was 3.7%, and the mortality rate among trauma patients without complications was only 2.8% (non-precedented deaths). However, the mortality rate among trauma patients with any complications was 10.2% (FTR). Hospitals were categorized into high- (40 facilities with 44,773 patients), average- (72 facilities with 102,368 patients), and low- (39 facilities with 37,073 patients) mortality hospitals, using the hospital ranking of a standardized mortality rate. High-mortality hospitals showed lower ISS than low-mortality hospitals [10 (IQR, 9-18) vs. 11 (IQR, 9-20), P < 0.01]. Patients in high-mortality hospitals showed more complications (14.2% vs. 11.2%, P < 0.01), in-hospital mortality (5.1% vs. 2.5%, P < 0.01), FTR (13.6% vs. 7.4%, P < 0.01), and non-precedented deaths (3.6% vs. 1.9%, P < 0.01) than those in low-mortality hospitals. CONCLUSIONS: Unlike reports of elective surgery, complication rates and FTR are associated with in-hospital mortality rates at the center level in trauma care.