Factors Associated with Cardiac/Pericardial Injury among Blunt Injury Patients: A Nationwide Study in Japan
by
, , , , , , ,
Kenichiro Ishida
1,*
,
Yusuke Katayama
2,
Tetsuhisa Kitamura
3
,
Tomoya Hirose
2,
Masahiro Ojima
1,
Shunichiro Nakao
2,
Jotaro Tachino
2,
Yutaka Umemura
4,
Takeyuki Kiguchi
4,5,
Tasuku Matsuyama
6,
Tomohiro Noda
7,
Kosuke Kiyohara
8,
Jun Oda
2 and
Mitsuo Ohnishi
1 1
Department of Acute Medicine and Critical Care Medical Center, Osaka National Hospital, National Hospital Organization, Osaka 540-0006, Japan
2
Department of Traumatology and Acute Critical Medicine, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan
3
Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan
4
Department of Emergency and Critical Care, Osaka General Medical Center, Osaka 540-0006, Japan
5
Kyoto University Health Service, Kyoto 606-8303, Japan
6
Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
7
Department of Traumatology and Critical Care Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka 558-8585, Japan
8
Department of Food Science, Faculty of Home Economics, Otsuma Women’s University, Tokyo 102-8357, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(15), 4534; https://doi.org/10.3390/jcm11154534
Submission received: 1 July 2022
/
Revised: 26 July 2022
/
Accepted: 1 August 2022
/
Published: 3 August 2022
(This article belongs to the Section Emergency Medicine)
Abstract
:The lack of established diagnostic criteria makes diagnosing blunt cardiac injury difficult. We investigated the factors associated with blunt cardiac injury using the Japan Trauma Data Bank (JTDB) in a multicenter observational study of blunt trauma patients conducted between 2004 and 2018. The primary outcome was the incidence of blunt cardiac/pericardial injury. Multivariable logistic regression analysis was used to identify factors independently associated with blunt cardiac injuries. Of the 228,513 patients, 1002 (0.4%) had blunt cardiac injury. Hypotension on hospital arrival (adjusted odds ratio (AOR) 4.536, 95% confidence interval (CI) 3.802–5.412), thoracic aortic injury (AOR 2.722, 95% CI 1.947–3.806), pulmonary contusion (AOR 2.532, 95% CI 2.204–2.909), rib fracture (AOR 1.362, 95% CI 1.147–1.618), sternal fracture (AOR 3.319, 95% CI 2.696–4.085). and hemothorax/pneumothorax (AOR 1.689, 95% CI 1.423–2.006)) was positively associated with blunt cardiac injury. Regarding the types of patients, car drivers had a higher rate of blunt cardiac injury compared to other types of patients. Driving a car, hypotension on hospital arrival, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury.
1. Introduction
Blunt cardiac injury is a rare trauma. Several studies using large databases reported cardiac injury in 0.3–2.3% of blunt trauma cases [1,2,3]. Blunt cardiac injury can be fatal, and several studies showed that it occurs in 10–20% of trauma-related deaths [4,5,6]. For patients alive on arrival at the hospital, prompt diagnosis and treatment are critical to saving their lives [7,8].
Initial trauma management is performed according to standardized protocols such as Advanced Trauma Life Support [9]. In Japan, there is a standardized protocol called Japan Advanced Trauma Evaluation and Care (JATEC), developed by the Japan Association of Trauma Medicine [10,11]. JATEC and ATLS are essentially the same [9,10]. Symptoms such as chest pain, dyspnea, palpitations, and arrhythmias are associated with blunt cardiac injury [12,13,14]. However, these symptoms are difficult to assess in cases of severe trauma, such as hemorrhagic shock or head injury with impaired consciousness.
There have been several observational studies of the injuries associated with blunt cardiac injury, including sternal fractures, rib fractures, and hemopneumothorax [1,2,6,15,16]. The Eastern Association for the Surgery of Trauma guidelines state that “blunt cardiac injury should be considered with severe mechanism trauma unresponsive to resuscitation efforts” [17]. They also recommend a 12-lead electrocardiogram and measurement of serum troponin levels to screen for blunt cardiac injury in such cases [17]. However, the lack of established diagnostic criteria makes it difficult to diagnose blunt cardiac injury based on a single test or set of diagnostic criteria. Therefore, the blunt cardiac injury should be diagnosed based on several parameters [17,18].
Thus, identifying and verifying factors associated with blunt cardiac injury may help clinicians diagnose the blunt cardiac injury. Our study investigated factors associated with blunt cardiac injury by analyzing the Japan Trauma Data Bank (JTDB).
2. Materials and Methods
2.1. Study Design, Population, and Setting
This multicenter observational study analyzed data from patients enrolled in the JTDB between 2004 and 2018. The study was approved by the Ethics Committee of Osaka National Hospital. We did not obtain informed consent, as the data were anonymous (Approval No. 19–9). Our findings are described in accordance with the “Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement for Observational Studies” [19].
2.2. Japan Trauma Data Bank
The JTDB is a hospital-based trauma registry in Japan maintained by the Japanese Association of Emergency Medicine and the Japanese Society of Trauma Medicine [20]. During the study period, patients were enrolled from 280 facilities equivalent to level 1 trauma centers in the United States [11]. Since JTDB has been registered using the Abbreviated Injury Scale (AIS) version 1998 during the study periods. Thus, online AIS version 1998 data were collected from participating facilities. Physicians and medical assistants who had completed the AIS coding course registered the data in most cases. For registration in the JTDB, an AIS score > 2 is required. In total, 92 elements of information are registered in the JTDB, including age, sex, mechanism of injury, type of transportation, vital signs, AIS code for each injured body site, the Injury Severity Score (ISS), procedures performed in the hospital, and hospital outcome. The findings of this study do not represent the official opinion of the Japanese Association of Emergency Medicine or the Japanese Association of Trauma Medicine.
2.3. Participants
Blunt trauma patients were included in the study. We excluded cases with interhospital transport, cardiopulmonary arrest on arrival (CPA), or missing data for sex, vital signs, ISS, or hospital discharge.
2.4. Variables
The following JTDB data were analyzed in this study: age, sex, type of patient systolic blood pressure on arrival, heart rate on arrival, thoracic injury for which AIS > 2, concomitant non-thoracic injuries (head, facial, neck, abdominal, spinal, lower extremity (including pelvis) or upper extremity injury for which AIS > 2), concomitant thoracic injury (thoracic aortic injury, esophageal injury, pulmonary contusion, rib fracture, tracheal injury, rib fracture, sternal fracture, clavicle fracture, hemothorax/pneumothorax, thoracic spinal cord injury, or fracture), and ISS. In addition, we extracted the AIS codes for blunt cardiac/pericardial injury (Table S1) and concomitant thoracic injury (Table S2). In JTDB, we need to determine the presence/absence of CPAOA using vital signs at hospital arrival. Therefore, we defined CPA as systolic blood pressure and/or pulse of 0 on arrival at the hospital [21]. Hypotension was defined as systolic blood pressure < 80 mmHg on arrival at the hospital [22,23].
2.5. Outcome Measures
The primary outcome was the incidence of blunt cardiac/pericardial injury. Secondary outcomes included the incidence of procedures (emergency pericardiocentesis, emergency pericardiotomy, emergency thoracotomy, and cardiac surgery), death in the emergency room (ER), in-hospital mortality, and complications during hospitalization (acute kidney injury, acute respiratory distress syndrome, myocardial infarction, pulmonary embolism, and pneumonia).
2.6. Statistical Analysis
We divided the eligible patients into two groups according to the presence/absence of cardiac/pericardial injury. First, we generated descriptive statistics for these two groups, i.e., median and interquartile range (IQR) for continuous variables and frequency and percentage for categorical variables. We used the Mann–Whitney U-test for comparing the groups in terms of continuous variables and the χ2 or Fisher’s exact test for comparing them in terms of categorical variables.
Using the forced entry method, multivariate logistic regression analysis was performed to obtain adjusted odds ratios (AORs) and 95% confidence intervals (CI) for factors associated with blunt cardiac injury. We included the following factors: admission year; age; sex; type of patient; hypotension on arrival; head, facial, neck, abdominal, spinal, lower extremity (including pelvis), upper extremity for which AIS > 2 (presence or absence); and thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, clavicle fracture, hemothorax/pneumothorax, or thoracic spinal cord injury/fracture (presence or absence). These variables were selected based on previous studies and according to whether they are considered clinically relevant to cardiac/pericardial injury [1,2,3,16,17].
Traffic accidents account for a high percentage of blunt trauma and blunt cardiac injuries [1,2,24]. Thus, performed a subgroup multivariate logistic regression analysis of traffic accident patients (car drivers, front seat passengers, back seat passengers, motorcyclists, bicyclists, and pedestrians). We grouped the patients according to the AIS score of the blunt cardiac injury, with consideration of procedure, prognosis, and complications. We used the Cochran–Armitage test for analyzing categorical variables. The two-sided significance level for all tests was p < 0.05. We used R software (version 4.0.3; https://www.r-project.org/ (accessed on 26 July 2022)) for all statistical analyses.
3. Results
Figure 1 shows the patient flow in this study. During the study period, 354,608 patients were registered in the JTDB, including 326,058 with blunt trauma. Of the 228,513 patients, 0.4% had a blunt cardiac injury. Table 1 shows the characteristics of the eligible patients. In the cardiac injury group, the median age was 49 years, and 70.1% were male. The most common type of patient was car driver, followed by motorcyclist. The median systolic blood pressure on arrival was 114 mmHg, and the proportion of patients with hypotension on arrival was 20.7%. The median ISS was 25. The most common concomitant injury was a head injury. The most common concomitant thoracic injury was rib fracture, followed by pulmonary contusion. The most common AIS score for blunt cardiac injury was 1, followed by 5.
Table 2 shows the associations between blunt cardiac injury and various factors. In multivariate logistic analysis, age < 20 years, hypotension on arrival, abdominal injury, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury. On the other hand, head injury, spinal injury, and clavicle fractures were inversely associated with blunt cardiac injury. Regarding admission year, 2013–2015 and 2016–2018 were inversely associated with blunt cardiac injury, unlike 2004–2006. Regarding the type of patient, front seat passenger, back seat passenger, motorcyclist, bicyclist, pedestrian, fall from a height, and falling down were inversely associated with blunt cardiac injury, unlike car driver.
Table 3 shows the results of the subgroup analysis of patients with traffic accident injuries. Multivariate logistic regression analysis showed that hypotension on arrival, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury. Regarding admission year, 2013–2015 and 2016–2018 were inversely associated with blunt cardiac injury, unlike 2004–2006. Regarding the type of patient, front seat passenger, back seat passenger, motorcyclist, bicyclist, and pedestrian were inversely associated with blunt cardiac injury, unlike car driver.
Table 4 shows the results for the other outcomes. Emergency pericardiocentesis, emergency pericardiotomy, emergency thoracotomy, and cardiac surgery were performed in 9.9%, 6.4%, 23.5%, and 11.6% of cases of blunt cardiac injury, respectively. The in-hospital mortality rate for blunt cardiac injury was 23.3%. Higher AIS scores were associated with higher rates of procedures and in-hospital mortality. The most common complication was pneumonia, followed by acute respiratory distress syndrome.
4. Discussion
Our study investigated factors associated with blunt cardiac injury in blunt trauma cases using the JTDB. Blunt cardiac injury occurred in 0.4% of blunt trauma patients. Multivariate logistic regression analysis showed that car driver, hypotension on hospital arrival, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury. We identified factors associated with blunt cardiac injury through analysis of a large database, which may help clinicians diagnose cardiac injury based on the injury mechanism and coexisting injuries.
First, our results showed that being a car driver was more strongly associated with blunt cardiac injury compared to the other types of patients. Traffic accidents account for high percentages of blunt trauma and blunt cardiac injuries [1,2,5,24]. In Japan, the number of traffic accidents and traffic fatalities has decreased [25,26]. In our study, traffic accidents accounted for a high proportion of blunt cardiac injuries. The incidence of blunt cardiac injury has decreased over time in patients involved in traffic accidents. This result was similar to a previous study in the United States [3]. The decrease in the incidence of cardiac injury could be attributed to changes in the environment surrounding patients with injuries, such as the decrease in hazardous driving following the revision of the Road Traffic Law and the widespread development and application of advanced technology [27], such as airbag technology [28]. Mechanisms for blunt cardiac injury include compression of the heart by the sternum or spine and a mechanism involving deceleration [8,29]. In our study, car drivers were more likely to suffer a blunt cardiac injury in traffic accidents compared to other types of patients; car drivers may be struck in the chest by an airbag or the steering wheel due to the sudden deceleration associated with traffic accidents. Prior research suggests that handling deformity is an important indicator of thoracic injury [30]. Although air bags disperse the impact over the chest, thoracic trauma may occur if the impact is sufficient to crush the air bag. Even if the air bag is adequate for absorbing the initial impact, it is unlikely to be effective for subsequent events, such as vehicle rollover. The widespread use of airbags in motor vehicles is thought to have contributed to the reductions in traffic fatalities and blunt cardiac injuries. However, blunt thoracic and cardiac injuries can still occur even when a car is equipped with airbags [28,30,31].
Second, our results showed that about 20% of patients had hypotension on arrival at the hospital, and hypotension was positively associated with blunt cardiac injury. Hypotension in the context of trauma is classified as a hypovolemic shock due to hemorrhage, obstructive shock due to tension pneumothorax or cardiac tamponade, cardiogenic shock due to cardiac injury, or distributive shock due to spinal cord injury [32]. Regarding the pathophysiology of these shocks, in patients with blunt cardiac injury, hemorrhage, obstruction, and cardiogenic pathophysiology lead to hypotension. Thus, blunt cardiac injury and hypotension on arrival may be related. Suspicion of blunt cardiac injury based on several factors, such as the mechanism of injury, hemodynamics, and comorbid injuries, may contribute to the diagnosis of blunt cardiac injury.
Third, in our multivariate logistic analysis of the JTDB, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury. Sternal fractures were strongly associated with blunt cardiac injury. Previous studies reported sternal fractures in approximately 2% of blunt trauma cases [33,34], while in 2.4–8% of patients with sternal fractures, blunt cardiac injury were also observed [33,35,36,37]. Observational studies in the United States and Germany using large databases have also reported that sternal fracture is associated with blunt cardiac injury [1,2]. In our Japanese database analysis, sternal fracture was found in 12.7% of blunt cardiac injuries, and logistic regression analysis showed that these factors were associated with each other. Although computed tomography (CT) may not be feasible in cases of hemodynamic instability, it is necessary for an accurate diagnosis of sternal fracture [33]. The diagnostic utility of ultrasound for sternal fracture has also been reported [38,39]. The sternal fracture itself is a minor injury; however, when a strong external force causes a sternal fracture, the heart may be injured by that force. In addition to sternal fractures, thoracic aortic injuries, pulmonary contusions, rib fractures, and hemothorax/pneumothorax were positively associated with blunt cardiac injury in this study, similar to previous studies [1,2]. Diagnosis of these injuries requires measurement of troponin levels and a 12-lead electrocardiogram.
Fourth, the mortality rate for blunt cardiac injury ranged from 13 to 89% [1,3,7,8,16,24,40]. A possible reason for differences in mortality rates among studies is that the diagnostic criteria for cardiac injury, and injury severity, vary. As shown in Table 4, the overall rate of death due to blunt cardiac injury in the ER was 9.6%, and the in-hospital mortality rate was 23.3%. In addition, blunt cardiac injuries with high AIS scores tended to be treated via emergency pericardiocentesis, emergency thoracotomy, or cardiac surgery. The mortality rate rose sharply with the severity of blunt cardiac injury (i.e., the AIS score). These results suggest that prompt severity assessment and treatment are needed, rather than a mere diagnosis of blunt cardiac injury.
There were several limitations to our study. First, although we used Japanese nationwide data in our analysis, JTDB is not population-based data. The changes in the number of cardiac injuries were influenced by the number of facilities enrolled in JTDB. Second, blunt cardiac injury patients were diagnosed and registered at the institutions that they presented to, and the lack of established diagnostic criteria for cardiac injury could have resulted in inaccurate reporting. Serum troponin levels, the presence of arrhythmias, and echocardiographic results are considered relevant for the diagnosis of blunt cardiac injury, but we did not obtain these data from the JTDB. In addition, if a severe heart injury is diagnosed and treated only based on a chest X-ray or ultrasound, other minor injuries may be missed. Third, data on the car model, airbag status, and seatbelt use were unavailable from the JTDB for car drivers. Fourth, the causes of hypotension are not available in the JTDB. Fifth, the AIS codes for sternal fractures were extracted from the JTDB, but fracture details (close vs. open, displaced vs. non-displaced) were unavailable. Previous studies have shown that most sternal fractures associated with blunt cardiac injury are closed fractures. However, open fractures show a stronger association with blunt cardiac injury than closed fractures [2]. The associations between such fracture parameters and blunt cardiac injury cannot be investigated when using the JTDB. Finally, this was an observational study, and there may have been unidentified confounding factors. Despite these limitations, the strengths of our study are its large sample size and time trends, which provides important generalizability for the incidence and associated factors of blunt cardiac injury.
5. Conclusions
In this study, being a car driver, hypotension on hospital arrival, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, and hemothorax/pneumothorax were positively associated with blunt cardiac injury. Therefore, screening for cardiac injury is required when these injuries are diagnosed, and careful observation should be continued after hospitalization. If clinicians suspect cardiac injury from such concomitant injuries, diagnosing and grading cardiac injury more promptly may be possible. This may contribute to improved patient prognosis.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm11154534/s1, Table S1: Abbreviated Injury Scale (AIS) code for cardiac/pericardial injury; Table S2: AIS code for extracting concomitant thoracic injury in this study.
Author Contributions
Conceptualization, K.I. and Y.K.; methodology, K.I., Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; software, K.I.; validation, Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; formal analysis, K.I., Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; investigation, K.I.; resources, K.I., Y.K., T.K. (Tetsuhisa Kitamura), T.H., M.O. (Masahiro Ojima), S.N., J.T., Y.U., T.K. (Takeyuki Kiguchi), T.M., T.N. and K.K.; data curation, K.I., Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; writing—original draft preparation, K.I., Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; writing—review and editing, K.I., Y.K., T.K. (Tetsuhisa Kitamura), T.H., M.O. (Masahiro Ojima), S.N., J.T., Y.U., T.K. (Takeyuki Kiguchi), T.M., T.N. and K.K.; visualization, K.I., Y.K., T.K. (Tetsuhisa Kitamura) and T.H.; supervision, Y.K., T.K. (Tetsuhisa Kitamura), J.O. and M.O. (Mitsuo Ohnishi); project administration, K.I. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Osaka National Hospital (Approval No. 19–9).
Informed Consent Statement
The requirement for informed consent from patients was waived because the study was a retrospective analysis of deidentified collected data that did not contain personal patient information.
Data Availability Statement
The data that support the findings of this study are available from the JTDB, although the availability of these data is restricted.
Acknowledgments
The authors thank the emergency medical service personnel, nurses, and emergency physicians involved in the JTDB. We also thank our colleagues at Osaka University Center of Medical Data Science and the Advanced Clinical Epidemiology Investigator’s Research Project for providing insight and expertise.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Hanschen, M.; Kanz, K.G.; Kirchhoff, C.; Khalil, P.N.; Wierer, M.; van Griensven, M.; Laugwitz, K.L.; Biberthaler, P.; Lefering, R.; Huber-Wagner, S.; et al. Blunt Cardiac Injury in the Severely Injured-A Retrospective Multicentre Study. PLoS ONE 2015, 10, e0131362. [Google Scholar] [CrossRef] [PubMed]
- Grigorian, A.; Milliken, J.; Livingston, J.K.; Spencer, D.; Gabriel, V.; Schubl, S.D.; Kong, A.; Barrios, C.; Joe, V.; Nahmias, J. National risk factors for blunt cardiac injury: Hemopneumothorax is the strongest predictor. Am. J. Surg. 2019, 217, 639–642. [Google Scholar] [CrossRef] [PubMed]
- Tran, H.V.; Charles, M.; Garrett, R.C.; Kempe, P.W.; Howard, C.A.; Khorgami, Z. Ten-Year Trends in Traumatic Cardiac Injury and Outcomes: A Trauma Registry Analysis. Ann. Thorac. Surg. 2020, 110, 844–848. [Google Scholar] [CrossRef] [PubMed]
- Pretre, R.; Chilcott, M. Blunt trauma to the heart and great vessels. N. Engl. J. Med. 1997, 336, 626–632. [Google Scholar] [CrossRef] [PubMed]
- Teixeira, P.G.R.; Georgiou, C.; Inaba, K.; DuBose, J.; Plurad, D.; Chan, L.S.; Toms, C.; Noguchi, T.T.; Demetriades, D. Blunt Cardiac Trauma: Lessons Learned from the Medical Examiner. J. Trauma Inj. Infect. Critical Care 2009, 67, 1259–1264. [Google Scholar] [CrossRef]
- Turan, A.A.; Karayel, F.A.; Akyildiz, E.; Pakis, I.; Uzun, I.; Gurpinar, K.; Atilmis, U.; Kir, Z. Cardiac injuries caused by blunt trauma: An autopsy based assessment of the injury pattern. J. Forensic Sci. 2010, 55, 82–84. [Google Scholar] [CrossRef] [PubMed]
- Brathwaite, C.E.; Rodriguez, A.; Turney, S.Z.; Dunham, C.M.; Cowley, R. Blunt traumatic cardiac rupture. A 5-year experience. Ann. Surg. 1990, 212, 701–704. [Google Scholar] [CrossRef] [PubMed]
- Fulda, G.; Brathwaite, C.E.; Rodriguez, A.; Turney, S.Z.; Dunham, C.M.; Cowley, R.A. Blunt traumatic rupture of the heart and pericardium: A ten-year experience (1979–1989). J. Trauma 1991, 31, 167–172; discussion 172–173. [Google Scholar] [CrossRef] [PubMed]
- American College of Surgeons Committee on Trauma. Advanced Trauma Life Support for Doctors: Student Course Manual, 10th ed.; American College of Surgeons: Chicago, IL, USA, 2018. [Google Scholar]
- The Japanese Association for the Surgery of Trauma. Japan Advanced Trauma Evaluation and Care, 6th ed.; Herusu Shuppan Company: Tokyo, Japan, 2021. (In Japanese) [Google Scholar]
- Hondo, K.; Shiraishi, A.; Fujie, S.; Saitoh, D.; Otomo, Y. In-Hospital Trauma Mortality Has Decreased in Japan Possibly Due to Trauma Education. J. Am. Coll. Surg. 2013, 217, 850–857.e1. [Google Scholar] [CrossRef]
- Sybrandy, K.C.; Cramer, M.J.; Burgersdijk, C. Diagnosing cardiac contusion: Old wisdom and new insights. Heart 2003, 89, 485–489. [Google Scholar] [CrossRef]
- Emet, M.; Akoz, A.; Aslan, S.; Saritas, A.; Cakir, Z.; Acemoglu, H. Assessment of cardiac injury in patients with blunt chest trauma. Eur. J. Trauma Emerg. Surg. 2010, 36, 441–447. [Google Scholar] [CrossRef] [PubMed]
- Gao, J.M.; Li, H.; Wei, G.B.; Liu, C.P.; Du, D.Y.; Kong, L.W.; Li, C.H.; Yang, J.; Yang, Q. Blunt Cardiac Injury: A Single-Center 15-Year Experience. Am. Surg. 2020, 86, 354–361. [Google Scholar] [CrossRef] [PubMed]
- Boeken, U.; Feindt, P.; Gramsch-Zabel, H.; Raunest, J.; Micek, M.; Schulte, H.D.; Gams, E. The Incidence of Myocardial Contusion in 160 Patients with Blunt Chest Trauma. Eur. J. Trauma 2000, 26, 111–115. [Google Scholar] [CrossRef]
- Joseph, B.; Jokar, T.O.; Khalil, M.; Haider, A.A.; Kulvatunyou, N.; Zangbar, B.; Tang, A.; Zeeshan, M.; O’Keeffe, T.; Abbas, D.; et al. Identifying the broken heart: Predictors of mortality and morbidity in suspected blunt cardiac injury. Am. J. Surg. 2016, 211, 982–988. [Google Scholar] [CrossRef]
- Clancy, K.; Velopulos, C.; Bilaniuk, J.W.; Collier, B.; Crowley, W.; Kurek, S.; Lui, F.; Nayduch, D.; Sangosanya, A.; Tucker, B.; et al. Screening for blunt cardiac injury: An Eastern Association for the Surgery of Trauma practice management guideline. J. Trauma Acute Care Surg. 2012, 73, S301–S306. [Google Scholar] [CrossRef] [PubMed]
- Stojanovska, J.; Koweek, L.M.H.; Chung, J.H.; Ghoshhajra, B.B.; Walker, C.M.; Beache, G.M.; Berry, M.F.; Colletti, P.M.; Davis, A.M.; Hsu, J.Y.; et al. ACR Appropriateness Criteria® Blunt Chest Trauma-Suspected Cardiac Injury. J. Am. Coll. Radiol. 2020, 17, S380–S390. [Google Scholar] [CrossRef]
- Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P.; Strobe Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. J. Clin. Epidemiol. 2008, 61, 344–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Japan Trauma Data Bank Report 2019. Available online: https://www.jtcr-jatec.org/traumabank/index.htm (accessed on 12 May 2022). (In Japanese).
- Katayama, Y.; Kitamura, T.; Hirose, T.; Kiguchi, T.; Matsuyama, T.; Takahashi, H.; Kiyohara, K.; Sado, J.; Adachi, S.; Noda, T.; et al. Pelvic angiography is effective for emergency pediatric patients with pelvic fractures: A propensity-score-matching study with a nationwide trauma registry in Japan. Eur. J. Trauma Emerg. Surg. 2021, 47, 515–521. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Spahn, D.R.; Bouillon, B.; Cerny, V.; Duranteau, J.; Filipescu, D.; Hunt, B.J.; Komadina, R.; Maegele, M.; Nardi, G.; Riddez, L.; et al. The European guideline on management of major bleeding and coagulopathy following trauma: Fifth edition. Crit Care 2019, 23, 98. [Google Scholar] [CrossRef] [Green Version]
- Neidel, T.; Salvador, N.; Heller, A.R. Impact of systolic blood pressure limits on the diagnostic value of triage algorithms. Scand. J. Trauma Resusc. Emerg. Med. 2017, 25, 118. [Google Scholar] [CrossRef] [Green Version]
- Teixeira, P.G.R.; Inaba, K.; Oncel, D.; DuBose, J.; Chan, L.; Rhee, P.; Salim, A.; Browder, T.; Brown, C.; Demetriades, D. Blunt Cardiac Rupture: A 5-Year NTDB Analysis. J. Trauma Inj. Infect. Critical Care 2009, 67, 788–791. [Google Scholar] [CrossRef] [PubMed]
- Trends in Traffic Accidents. The Open Data about Traffic Accident. Available online: https://www.e-stat.go.jp/dbview?sid=0003281500 (accessed on 12 May 2022). (In Japanese).
- White Paper on Traffic Safety in Japan 2021. Available online: https://www8.cao.go.jp/koutu/taisaku/r03kou_haku/english/pdf/wp2021-1.pdf (accessed on 26 July 2022).
- National Police Agency. Traffic Bureau. Available online: https://www.npa.go.jp/english/bureau/traffic/index.html (accessed on 22 July 2022).
- Khouzam, R.N.; Al-Mawed, S.; Farah, V.; Mizeracki, A. Next-Generation Airbags and the Possibility of Negative Outcomes Due to Thoracic Injury. Can. J. Cardiol. 2014, 30, 396–404. [Google Scholar] [CrossRef] [PubMed]
- Parmley, L.F.; Manion, W.C.; Mattingly, T.W. Nonpenetrating traumatic injury of the heart. Circulation 1958, 18, 371–396. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, R.; Gabler, H.C. Risk of thoracic injury from direct steering wheel impact in frontal crashes. J. Trauma Acute Care Surg. 2014, 76, 1441–1446. [Google Scholar] [CrossRef] [PubMed]
- Thor, C.P.; Gabler, H.C. The influence of airbags on thoracic organ lesion types-biomed 2009. Biomed. Sci. Instrum. 2009, 45, 352–357. [Google Scholar]
- Britt, L.D.; Weireter, L.J., Jr.; Riblet, J.L.; Asensio, J.A.; Maull, K. Priorities in the management of profound shock. Surg. Clin. N. Am. 1996, 76, 645–660. [Google Scholar] [CrossRef]
- Perez, M.R.; Rodriguez, R.M.; Baumann, B.M.; Langdorf, M.I.; Anglin, D.; Bradley, R.N.; Medak, A.J.; Mower, W.R.; Hendey, G.W.; Nishijima, D.K.; et al. Sternal fracture in the age of pan-scan. Injury 2015, 46, 1324–1327. [Google Scholar] [CrossRef] [Green Version]
- Fokin, A.A.; Wycech Knight, J.; Abid, A.T.; Yoshinaga, K.; Alayon, A.L.; Grady, R.; Weisz, R.D.; Puente, I. Sternal fractures in blunt trauma patients. Eur. J. Trauma Emerg. Surg. 2022, 1–12. [Google Scholar] [CrossRef]
- Recinos, G.; Inaba, K.; Dubose, J.; Barmparas, G.; Teixeira, P.G.; Talving, P.; Plurad, D.; Green, D.; Demetriades, D. Epidemiology of sternal fractures. Am. Surg. 2009, 75, 401–404. [Google Scholar] [CrossRef]
- Oyetunji, T.A.; Jackson, H.T.; Obirieze, A.C.; Moore, D.; Branche, M.J.; Greene, W.R.; Cornwell, E.E., 3rd; Siram, S.M. Associated injuries in traumatic sternal fractures: A review of the National Trauma Data Bank. Am. Surg. 2013, 79, 702–705. [Google Scholar] [CrossRef]
- Fokin, A.A.; Wycech Knight, J.; Yoshinaga, K.; Abid, A.T.; Grady, R.; Alayon, A.L.; Puente, I. Blunt Cardiac Injury in Patients with Sternal Fractures. Cureus 2022, 14, e22841. [Google Scholar] [CrossRef] [PubMed]
- Racine, S.; Drake, D. BET 3: Bedside ultrasound for the diagnosis of sternal fracture. Emerg. Med. J. 2015, 32, 971–972. [Google Scholar] [CrossRef] [PubMed]
- Rovida, S.; Orso, D.; Naeem, S.; Vetrugno, L.; Volpicelli, G. Lung ultrasound in blunt chest trauma: A clinical review. Ultrasound 2022, 30, 72–79. [Google Scholar] [CrossRef] [PubMed]
- Gao, J.M.; Du, D.Y.; Kong, L.W.; Yang, J.; Li, H.; Wei, G.B.; Li, C.H.; Liu, C.P. Emergency Surgery for Blunt Cardiac Injury: Experience in 43 Cases. World J. Surg. 2020, 44, 1666–1672. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Flowchart of patient selection from the Japan Trauma Data Bank.
Table 1.
Characteristics of the cardiac injury and non-cardiac injury groups.
| Cardiac Injury (+) | Cardiac Injury (−) | ||
|---|---|---|---|
| N = 1002 | N = 227,511 | p Value | |
| Admission year, n (%) | <0.001 | ||
| 2004–2006 | 51 (5.1) | 7612 (3.4) | |
| 2007–2009 | 171 (17.1) | 24,145 (10.6) | |
| 2010–2012 | 276 (27.5) | 49,482 (21.8) | |
| 2013–2015 | 270 (27.0) | 77,749 (34.2) | |
| 2016–2018 | 234 (23.4) | 68,523 (30.1) | |
| Age, years, median (IQR) | 49 [27–68] | 62 [38–78] | <0.001 |
| Male, sex, n (%) | 702 (70.1) | 141,711 (62.3) | <0.001 |
| Type of patients, n (%) | <0.001 | ||
| Car driver | 313 (31.2) | 20,272 (8.9) | |
| Front seat passenger | 48 (4.8) | 3879 (1.7) | |
| Back seat passenger | 24 (2.4) | 2952 (1.3) | |
| Motorcyclist | 193 (19.3) | 27,425 (12.1) | |
| Bicyclist | 59 (5.9) | 19,098 (8.4) | |
| Pedestrian | 94 (9.4) | 18,368 (8.1) | |
| Fall from heights | 128 (12.8) | 21,631 (9.5) | |
| Fall down | 39 (3.9) | 91,036 (40.0) | |
| Other | 104 (10.4) | 22,850 (10.0) | |
| Systolic BP on arrival, mmHg, median (IQR) | 114 [83–139] | 137 [137–158] | <0.001 |
| Heart rate on arrival, bpm, median (IQR) | 96 [80–116] | 83 [72–96] | <0.001 |
| Hypotension (SBP < 80 mmHg), n (%) | 207 (20.7) | 7441 (3.3) | <0.001 |
| Concomitant injury | |||
| Head injury, n (%) | 238 (23.8) | 72,207 (31.7) | <0.001 |
| Face injury, n (%) | 11 (1.1) | 1805 (0.8) | 0.366 |
| Neck injury, n (%) | 1 (0.1) | 374 (0.2) | 0.910 |
| Chest injury, n (%) | 824 (82.2) | 49,037 (21.6) | <0.001 |
| Abdominal injury, n (%) | 160 (16.0) | 10,550 (4.6) | <0.001 |
| Spine injury, n (%) | 75 (7.5) | 23,976 (10.5) | 0.002 |
| Lower extremity injury including pelvis, n (%) | 237 (23.7) | 64,644 (28.4) | 0.001 |
| Upper extremity injury, n (%) | 52 (5.2) | 12,202 (5.4) | 0.863 |
| Concomitant thoracic injury | |||
| Thoracic aortic injury, n (%) | 41 (4.1) | 1069 (0.5) | <0.001 |
| Esophageal injury, n (%) | 0 (0.0) | 23 (0.0) | 1.000 |
| Pulmonary contusion, n (%) | 420 (41.9) | 25,084 (11.0) | <0.001 |
| Tracheal injury, n (%) | 2 (0.2) | 108 (0.0) | 0.142 |
| Rib fracture, n (%) | 483 (48.2) | 42,585 (18.7) | <0.001 |
| Sternal fracture, n (%) | 127 (12.7) | 3675 (1.6) | <0.001 |
| Clavicle fracture, n (%) | 91 (9.1) | 12,240 (5.4) | <0.001 |
| Hemothorax/pneumothorax, n (%) | 372 (37.1) | 26,893 (11.8) | <0.001 |
| Thoracic spinal cord injury/fracture, n (%) | 66 (6.6) | 11,105 (4.9) | 0.015 |
| AIS of cardiac injury, n (%) | |||
| 1 | 594 (59.3) | − | |
| 2 | 43 (4.3) | − | |
| 3 | 88 (8.8) | − | |
| 4 | 20 (2.0) | − | |
| 5 | 224 (22.4) | − | |
| 6 | 33 (3.3) | − | |
| ISS, median (IQR) | 25 [17–35] | 10 [9–19] | <0.001 |
IQR—interquartile range; BP—blood pressure; AIS—Abbreviated Injury Scale.
Table 2.
Univariable and multivariable logistic regression to identify factors associated with cardiac injury among blunt trauma patients.
Table 2.
Univariable and multivariable logistic regression to identify factors associated with cardiac injury among blunt trauma patients.
| Cardiac Injury | Univariable Analyses | Multivariable Analyses | |||
|---|---|---|---|---|---|
| N = 228,513 | % (n/N) | Crude OR (95% CI) | p Value | Adjusted a OR (95% CI) | p Value |
| Admission year | |||||
| 2004–2006 | 0.67 (51/7663) | Reference | Reference | ||
| 2007–2009 | 0.70 (171/24,316) | 1.057 (0.772–1.447) | 0.729 | 1.167 (0.849–1.604) | 0.340 |
| 2010–2012 | 0.55 (276/49,758) | 0.833 (0.617–1.123) | 0.231 | 1.058 (0.780–1.434) | 0.716 |
| 2013–2015 | 0.35 (270/78,019) | 0.518 (0.384–0.700) | <0.001 | 0.719 (0.530–0.976) | 0.034 |
| 2016–2018 | 0.34 (234/68,757) | 0.510 (0.376–0.691) | <0.001 | 0.711 (0.521–0.970) | 0.032 |
| Age groups | |||||
| <20 years | 0.54 (123/22,798) | 0.936 (0.770–1.138) | 0.507 | 1.323 (1.076–1.626) | 0.008 |
| 20–64 years | 0.58 (575/99,788) | Reference | Reference | ||
| ≧65 years | 0.29 (304/105,927) | 0.497 (0.432–0.571) | <0.001 | 1.029 (0.885–1.196) | 0.713 |
| Sex | |||||
| Male | 0.49 (702/142,413) | 1.417 (1.237–1.622) | <0.001 | 0.968 (0.838–1.118) | 0.657 |
| Female | 0.35 (300/86,100) | Reference | Reference | ||
| Type of patients | |||||
| Car driver | 1.52 (313/20,585) | Reference | Reference | ||
| Front seat passenger | 1.22 (48/3927) | 0.801 (0.590–1.088) | 0.156 | 0.722 (0.526–0.991) | 0.044 |
| Back seat passenger | 0.81 (24/2976) | 0.527 (0.347–0.799) | 0.003 | 0.554 (0.361–0.850) | 0.007 |
| Motorcyclist | 0.70 (193/27,618) | 0.456 (0.381–0.546) | <0.001 | 0.534 (0.441–0.647) | <0.001 |
| Bicyclist | 0.31 (59/19,157) | 0.200 (0.151–0.264) | <0.001 | 0.311 (0.232–0.415) | <0.001 |
| Pedestrian | 0.51 (94/18,462) | 0.331 (0.263–0.418) | <0.001 | 0.393 (0.307–0.502) | <0.001 |
| Fall from heights | 0.59 (128/21,759) | 0.383 (0.312–0.471) | <0.001 | 0.390 (0.313–0.486) | <0.001 |
| Fall down | 0.04 (39/91,075) | 0.028 (0.020–0.039) | <0.001 | 0.058 (0.041–0.082) | <0.001 |
| Other | 0.45 (104/22,954) | 0.295 (0.236–0.368) | <0.001 | 0.421 (0.335–0.530) | <0.001 |
| Hypotension on arrival | |||||
| (+) | 2.71 (207/7648) | 7.701 (6.597–8.989) | <0.001 | 4.536 (3.802–5.412) | <0.001 |
| (−) | 0.36 (795/220,865) | Reference | Reference | ||
| Head injury | |||||
| (+) | 0.33 (238/72,445) | 0.670 (0.579–0.775) | <0.001 | 0.692 (0.593–0.807) | <0.001 |
| (−) | 0.49 (764/156,068) | Reference | Reference | ||
| Face injury | |||||
| (+) | 0.61 (11/1816) | 1.388 (0.765–2.519) | 0.281 | 1.100 (0.601–2.014) | 0.758 |
| (−) | 0.44 (991/226,697) | Reference | Reference | ||
| Neck injury | |||||
| (+) | 0.27 (1/375) | 0.607 (0.085–4.322) | 0.618 | 0.362 (0.050–2.612) | 0.314 |
| (−) | 0.44 (1001/228,138) | Reference | Reference | ||
| Abdominal injury | |||||
| (+) | 1.49 (160/10,710) | 3.908 (3.296–4.633) | <0.001 | 1.192 (0.991–1.433) | 0.063 |
| (−) | 0.39 (842/217,803) | Reference | Reference | ||
| Spine injury | |||||
| (+) | 0.31 (75/24,051) | 0.687 (0.543–0.869) | 0.002 | 0.671 (0.523–0.861) | 0.002 |
| (−) | 0.45 (927/204,462) | Reference | Reference | ||
| Lower extremity injury including pelvis | |||||
| (+) | 0.37 (237/64,881) | 0.781 (0.675–0.903) | <0.001 | 0.896 (0.767–1.047) | 0.167 |
| (−) | 0.47 (765/163,632) | Reference | Reference | ||
| Upper extremity injury | |||||
| (+) | 0.42 (52/12,254) | 0.966 (0.730–1.278) | 0.808 | 0.844 (0.635–1.122) | 0.243 |
| (−) | 0.44 (950/216,259) | Reference | Reference | ||
| Thoracic aortic injury | |||||
| (+) | 3.69 (41/1110) | 9.037 (6.574–12.424) | <0.001 | 2.722 (1.947–3.806) | <0.001 |
| (−) | 0.42 (961/227,403) | Reference | Reference | ||
| Pulmonary contusion | |||||
| (+) | 1.65 (420/25,504) | 5.824 (5.133–6.607) | <0.001 | 2.532 (2.204–2.909) | <0.001 |
| (−) | 0.29 (582/203,009) | Reference | Reference | ||
| Rib fracture | |||||
| (+) | 1.12 (483/43,068) | 4.041 (3.569–4.576) | < 0.001 | 1.362 (1.147–1.618) | <0.001 |
| (−) | 0.28 (519/185,445) | Reference | Reference | ||
| Sternal fracture | |||||
| (+) | 3.34 (127/3802) | 8.840 (7.318–10.679) | < 0.001 | 3.319 (2.696–4.085) | <0.001 |
| (−) | 0.39 (875/224,711) | Reference | Reference | ||
| Clavicle fracture | |||||
| (+) | 0.74 (91/12,331) | 1.757 (1.415–2.181) | <0.001 | 0.792 (0.631–0.992) | 0.043 |
| (−) | 0.42 (911/216,182) | Reference | Reference | ||
| Hemothorax/pneumothorax | |||||
| (+) | 1.36 (372/27,265) | 4.405 (3.873–5.010) | <0.001 | 1.689 (1.423–2.006) | <0.001 |
| (−) | 0.31 (630/201,248) | Reference | Reference | ||
| Thoracic spinal cord injury/fracture | |||||
| (+) | 0.59 (66/11,171) | 1.374 (1.070–1.765) | 0.013 | 0.828 (0.633–1.084) | 0.170 |
| (−) | 0.43 (936/217,342) | Reference | Reference | ||
OR—odds ratio; IQR—interquartile range; ISS—Injury Severity Score. a Adjusted for admission year, age, sex, type of patients, hypotension on arrival, head injury, facial injury, neck injury, abdominal injury, spinal injury, lower extremity injury including pelvis, upper extremity injury, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, clavicle fracture, hemothorax/pneumothorax, and thoracic spinal cord injury/fracture.
Table 3.
Univariable and multivariable logistic regression to identify factors associated with cardiac injury among traffic accident patients (subgroup analysis).
Table 3.
Univariable and multivariable logistic regression to identify factors associated with cardiac injury among traffic accident patients (subgroup analysis).
| Cardiac Injury | Univariable Analyses | Multivariable Analyses | |||
|---|---|---|---|---|---|
| N = 65,107 | % (n/N) | Crude OR (95% CI) | p Value | Adjusted a OR (95% CI) | p Value |
| Admission year | |||||
| 2004–2006 | 0.98 (43/4368) | Reference | Reference | ||
| 2007–2009 | 1.04 (124/11,933) | 1.056 (0.745–1.497) | 0.759 | 1.016 (0.714–1.446) | 0.931 |
| 2010–2012 | 0.97 (203/21,028) | 0.980 (0.704–1.365) | 0.907 | 0.955 (0.683–1.336) | 0.787 |
| 2013–2015 | 0.63 (191/30,505) | 0.634 (0.455–0.884) | 0.007 | 0.618 (0.441–0.866) | 0.005 |
| 2016–2018 | 0.68 (170/24,891) | 0.692 (0.494–0.968) | 0.032 | 0.642 (0.455–0.905) | 0.011 |
| Age groups | |||||
| <20 years | 0.63 (88/14,035) | 0.783 (0.621–0.986) | 0.038 | 1.235 (0.967–1.577) | 0.090 |
| 20–64 years | 0.8 (411/51,402) | Reference | Reference | ||
| ≧65 years | 0.85 (232/27,288) | 1.064 (0.905–1.250) | 0.453 | 1.155 (0.969–1.376) | 0.108 |
| Sex | |||||
| Male | 0.78 (495/63,157) | 0.982 (0.840–1.147) | 0.817 | 0.873 (0.738–1.032) | 0.111 |
| Female | 0.8 (236/29,568) | Reference | Reference | ||
| Type of patients | |||||
| Car driver | 1.52 (313/20,585) | Reference | Reference | ||
| Front seat passenger | 1.22 (48/3927) | 0.801 (0.590–1.088) | 0.156 | 0.711 (0.517–0.976) | 0.035 |
| Back seat passenger | 0.81 (24/2976) | 0.527 (0.347–0.799) | 0.003 | 0.533 (0.347–0.819) | 0.004 |
| Motorcyclist | 0.7 (193/27,618) | 0.456 (0.381–0.546) | <0.001 | 0.535 (0.441–0.649) | <0.001 |
| Bicyclist | 0.31 (59/19,157) | 0.200 (0.151–0.264) | <0.001 | 0.289 (0.216–0.388) | <0.001 |
| Pedestrian | 0.51 (94/18,462) | 0.331 (0.263–0.418) | <0.001 | 0.360 (0.280–0.462) | <0.001 |
| Hypotension on arrival | |||||
| (+) | 3.7 (137/3704) | 5.718 (4.734–6.905) | <0.001 | 4.369 (3.529–5.408) | <0.001 |
| (−) | 0.67 (594/89,021) | Reference | Reference | ||
| Head injury | |||||
| (+) | 0.55 (179/32,658) | 0.594 (0.502–0.704) | <0.001 | 0.720 (0.601–0.862) | <0.001 |
| (−) | 0.92 (552/60,067) | Reference | Reference | ||
| Face injury | |||||
| (+) | 0.81 (8/991) | 1.024 (0.509–2.062) | 0.946 | 1.145 (0.563–2.326) | 0.709 |
| (−) | 0.79 (723/91,734) | Reference | Reference | ||
| Neck injury | |||||
| (+) | 0.55 (1/183) | 0.691 (0.097–4.934) | 0.713 | 0.524 (0.072–3.801) | 0.523 |
| (−) | 0.79 (730/92,542) | Reference | Reference | ||
| Abdominal injury | |||||
| (+) | 1.76 (122/6944) | 2.501 (2.056–3.043) | <0.001 | 1.186 (0.959–1.466) | 0.116 |
| (−) | 0.71 (609/85,781) | Reference | Reference | ||
| Spine injury | |||||
| (+) | 0.44 (33/7526) | 0.533 (0.376–0.757) | <0.001 | 0.490 (0.341–0.705) | <0.001 |
| (−) | 0.82 (698/85,199) | Reference | Reference | ||
| Lower extremity injury including pelvis | |||||
| (+) | 0.8 (162/20,346) | 1.013 (0.850–1.207) | 0.886 | 0.920 (0.765–1.106) | 0.376 |
| (−) | 0.79 (569/72,379) | Reference | Reference | ||
| Upper extremity injury | |||||
| (+) | 0.81 (35/4309) | 1.032 (0.734–1.451) | 0.856 | 0.915 (0.646–1.295) | 0.615 |
| (−) | 0.79 (696/88,416) | Reference | Reference | ||
| Thoracic aortic injury | |||||
| (+) | 4.22 (30/711) | 5.738 (3.951–8.334) | <0.001 | 2.830 (1.914–4.184) | <0.001 |
| (−) | 0.76 (701/92,014) | Reference | Reference | ||
| Pulmonary contusion | |||||
| (+) | 1.87 (303/16,246) | 3.377 (2.912–3.916) | <0.001 | 2.427 (2.068–2.847) | <0.001 |
| (−) | 0.56 (428/76,479) | Reference | Reference | ||
| Rib fracture | |||||
| (+) | 1.44 (341/23,615) | 2.582 (2.231–2.988) | <0.001 | 1.260 (1.035–1.532) | 0.021 |
| (−) | 0.56 (390/69,110) | Reference | Reference | ||
| Sternal fracture | |||||
| (+) | 3.37 (95/2818) | 4.897 (3.934–6.095) | <0.001 | 2.715 (2.138–3.447) | <0.001 |
| (−) | 0.71 (636/89,907) | Reference | Reference | ||
| Clavicle fracture | |||||
| (+) | 0.82 (70/8557) | 1.042 (0.814–1.334) | 0.745 | 0.756 (0.584–0.978) | 0.033 |
| (−) | 0.79 (661/84,168) | Reference | Reference | ||
| Hemothorax/pneumothorax | |||||
| (+) | 1.77 (248/14,011) | 2.919 (2.502–3.405) | <0.001 | 1.591 (1.303–1.942) | <0.001 |
| (−) | 0.61 (483/78,714) | Reference | Reference | ||
| Thoracic spinal cord injury/fracture | |||||
| (+) | 0.87 (32/3694) | 1.104 (0.774–1.576) | 0.585 | 0.809 (0.557–1.175) | 0.267 |
| (−) | 0.79 (699/89,031) | Reference | Reference | ||
AIS—Abbreviated Injury Scale; OR—odds ratio; IQR—interquartile range; ISS—Injury Severity Score. a Adjusted for admission year, age, sex, type of patients, hypotension on arrival, head injury, facial injury, neck injury, abdominal injury, spinal injury, lower extremity injury including pelvis, upper extremity injury, thoracic aortic injury, pulmonary contusion, rib fracture, sternal fracture, clavicle fracture, hemothorax/pneumothorax, and thoracic spinal cord injury/fracture.
Table 4.
Procedures and prognosis following arrival at the hospital among cardiac injury patients.
| Overall | AIS 1 | AIS 2 | AIS 3 | AIS 4 | AIS 5 | AIS 6 | p for Trend | |
|---|---|---|---|---|---|---|---|---|
| N = 1002 | N = 594 | N = 43 | N = 88 | N = 20 | N = 224 | N = 33 | ||
| Procedure, n (%) | ||||||||
| Emergency pericardiocentesis | 99 (9.9) | 7 (1.2) | 4 (9.3) | 19 (21.6) | 1 (5.0) | 60 (26.8) | 8 (24.2) | <0.001 |
| Emergency pericardial incision | 64 (6.4) | 1 (0.2) | 2 (4.7) | 13 (14.8) | 6 (30.0) | 34 (15.2) | 8 (24.2) | <0.001 |
| Emergency thoracotomy | 235 (23.5) | 22 (3.7) | 7 (16.3) | 26 (29.5) | 11 (55.0) | 147 (65.6) | 22 (66.7) | <0.001 |
| Cardiac operation | 116 (11.6) | 0 (0.0) | 1 (2.3) | 5 (5.7) | 0 (0.0) | 100 (44.6) | 10 (30.3) | <0.001 |
| Prognosis, n (%) | ||||||||
| Death in the ER | 96 (9.6) | 8 (1.3) | 1 (2.3) | 10 (11.4) | 6 (30.0) | 55 (24.6) | 16 (48.5) | <0.001 |
| In-hospital mortality | 233 (23.3) | 44 (7.4) | 10 (23.3) | 30 (34.1) | 14 (70.0) | 108 (48.2) | 27 (81.8) | <0.001 |
| Complication, n (%) | ||||||||
| Acute kidney injury | 4 (0.4) | 0 (0.0) | 2 (4.7) | 0 (0.0) | 0 (0.0) | 2 (0.9) | 0 (0.0) | 0.192 |
| Acute respiratory distress syndrome | 7 (0.7) | 3 (0.5) | 1 (2.3) | 1 (1.1) | 0 (0.0) | 1 (0.4) | 1 (3.0) | 0.575 |
| Myocardial infarction | 1 (0.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.4) | 0 (0.0) | 0.136 |
| Pulmonary embolism | 2 (0.2) | 0 (0.0) | 1 (2.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (3.0) | 0.187 |
| Pneumonia | 29 (2.9) | 17 (2.9) | 3 (7.0) | 4 (4.5) | 1 (5.0) | 4 (1.8) | 0 (0.0) | 0.354 |
| ER, emergency room |
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Ishida, K.; Katayama, Y.; Kitamura, T.; Hirose, T.; Ojima, M.; Nakao, S.; Tachino, J.; Umemura, Y.; Kiguchi, T.; Matsuyama, T.; et al. Factors Associated with Cardiac/Pericardial Injury among Blunt Injury Patients: A Nationwide Study in Japan. J. Clin. Med. 2022, 11, 4534. https://doi.org/10.3390/jcm11154534
AMA Style
Ishida K, Katayama Y, Kitamura T, Hirose T, Ojima M, Nakao S, Tachino J, Umemura Y, Kiguchi T, Matsuyama T, et al. Factors Associated with Cardiac/Pericardial Injury among Blunt Injury Patients: A Nationwide Study in Japan. Journal of Clinical Medicine. 2022; 11(15):4534. https://doi.org/10.3390/jcm11154534
Chicago/Turabian StyleIshida, Kenichiro, Yusuke Katayama, Tetsuhisa Kitamura, Tomoya Hirose, Masahiro Ojima, Shunichiro Nakao, Jotaro Tachino, Yutaka Umemura, Takeyuki Kiguchi, Tasuku Matsuyama, and et al. 2022. "Factors Associated with Cardiac/Pericardial Injury among Blunt Injury Patients: A Nationwide Study in Japan" Journal of Clinical Medicine 11, no. 15: 4534. https://doi.org/10.3390/jcm11154534
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