1. Introduction
Blunt thoracic trauma is the second most common cause of death after head injury, following motor vehicle collisions, and accounts for greater than 15% of all trauma admissions worldwide. Most often, blunt thoracic trauma occurs following a high-speed sudden deceleration with direct impact to the anterior chest [
1]. Visceral injuries associated with blunt thoracic trauma include cardiac contusion and injury to the ascending aorta, innominate arteries, and thoracic vertebrae. Sternal fractures, another product of blunt thoracic injury, can cause additional injuries to the right ventricle. Blunt force exerted on the heart by the sternum can also increase intraventricular pressure, which can damage or rupture cardiac valves [
2]. Although many injuries occur from blunt thoracic trauma, this paper focuses on potential cardiac injury leading to dysrhythmia and further cardiac complications, whether caused by the dysrhythmia or blunt injury.
The Eastern Association for the Surgery of Trauma (EAST) guidelines currently state that all patients with suspected blunt thoracic trauma should have an EKG (Level I recommendation) and cardiac troponin (Level II recommendation) on admission [
3]. Although this is the current standard of care, there are studies reporting low sensitivity and specificity of EKG and cardiac enzymes. Some even suggest they have no correlation to clinical outcomes [
4,
5]. Additionally, in multiple case reports, there were reported deaths due to late dysrhythmia after blunt thoracic trauma, despite normal admission of EKG and cardiac enzymes [
6,
7]. These cases were confirmed on autopsy to have myocardial contusion [
6].
Given that EKG and cardiac enzymes do not identify all patients at risk of developing a cardiac dysrhythmia, it would be valuable to identify additional risk factors for developing a dysrhythmia. The incidence of a dysrhythmia after blunt thoracic trauma varies in the literature from 8–75%, and the complication rate from these dysrhythmias is unknown [
2]. Current practice focuses on monitoring potential cardiac symptoms and treating cardiac complications as they arise. If specific patients could be identified as considerable risk for dysrhythmia and subsequent cardiac complications based on age, gender, comorbidities, mechanism of injury, and injury severity, then focus could be directed toward prevention. The aims of this study are to (1) identify the incidence of dysrhythmia following blunt thoracic trauma at a Level I Trauma Center, (2) identify risk factors associated with developing a dysrhythmia and subsequent complications, and (3) identify the incidence of cardiac intervention after developing a dysrhythmia. The data will be used to help identify specific populations at a higher risk of developing a dysrhythmia that could potentially benefit from preventative treatment on admission. We hypothesized that blunt thoracic trauma may result in post-injury dysrhythmias that subsequently undergo intervention.
2. Materials and Methods
Following approval from our Institutional Review Board, we performed a retrospective review utilizing data from our trauma registry and medical records from January 2010 through March 2022 at our Level I Trauma Center. All patients ≥ 18 years presenting as a trauma activation to the trauma service at our facility with a blunt mechanism of injury to the thorax were included in this analysis. Patients were included if they had one or more of the following: rib fracture(s), sternal fracture, chest wall contusion, pneumothorax, hemothorax, chest pain, chest wall deformity, and/or chest wall crepitus. Patients were excluded if they had an Abbreviated Injury Scale (AIS) Chest of zero or a pre-existing dysrhythmia. The primary outcome of this study was the development of a dysrhythmia. Secondary outcomes included unplanned intensive care unit (ICU) admission, pulmonary embolism (PE), and cerebrovascular accident (CVA).
Analyses were conducted in the form of Student’s t-tests and Mann–Whitney U tests for continuous variables and chi-squared tests and Fisher’s exact tests for categorical variables. These analyses were performed to compare unadjusted baseline demographics and clinical outcomes between patients who developed a dysrhythmia following a blunt mechanism of injury to the thorax versus those who did not. In our study, a dysrhythmia was defined as any heart rhythm that deviated from normal sinus rhythm (i.e., sinus tachycardia, sinus bradycardia, narrow and wide complex tachycardia, ventricular fibrillation, supraventricular tachycardia (SVT), atrial fibrillation (AF)/flutter, atrioventricular (AV) block, Torsades de pointes, premature atrial and ventricular contractions, pulseless electrical activity, and asystole). For non-normally distributed variables, median (Interquartile Range [IQR]) were used, whereas for normally distributed variables mean (standard deviation [SD]) were used. Analyzed variables included age, sex, race, Injury Severity Score (ISS), mechanism of injury (MOI), units of blood products received, and complications following a dysrhythmia. Development of a dysrhythmia was defined as an abnormal cardiac rhythm as observed on cardiac telemetry or EKG. Cardiac intervention was defined as cardiac catheterization, pacemaker implementation, cardioversion, defibrillation, stent placement, thoracotomy, and cardiopulmonary resuscitation (CPR). Missing data were excluded from this analysis. All statistical analyses were performed using Stata/IC, version 16.0. A p-value < 0.05 was considered statistically significant. A confidence interval of 95% was used.
3. Results
A total of 2943 patients met inclusion criteria and were included in this analysis. Of these patients, 574 (19.5%) developed a dysrhythmia following blunt trauma to the thorax. Sinus tachycardia, often a benign dysrhythmia, was included and accounted for 11.5% (
n = 66) of dysrhythmias in our dataset. The total patient population contained more males (
n = 1899 [64.55]) than females (
n = 1044 [35.5%],
p ≤ 0.001). All patients presented with a blunt mechanism of injury; 1327 (45.1%) were involved in a motor vehicle collision (MVC) and 346 (11.8%) were involved in a motorcycle collision (MCC). Within this patient population, 2749 (93.5%) patients were White/Caucasian and 136 (4.6%) patients were Black/African American. Two hundred and one (6.8%) patients included in this analysis died due to their injuries. Demographic and injury-specific characteristics of patients who developed a dysrhythmia are displayed in
Table 1.
Table 1 also displays the breakdown of the mechanism of injury in patients with and without a dysrhythmia. MVC was the most common MOI for patients who developed a dysrhythmia (43.6%), followed by fall (34.7%) and MCC (10.3%). The remaining mechanisms of injury accounted for less than 11.4% of all dysrhythmias. We conducted a subgroup analysis of patients aged >64 and found that geriatric patients had the greatest incidence of dysrhythmia following a fall (45.3%) or MVC (43.6%), with remaining mechanisms causing 11.1% of dysrhythmias.
Table 2 displays the mechanism of injury and associated rates of dysrhythmia for geriatric patients.
Patients with a previously noted cardiac history were more likely to develop a dysrhythmia than those without a cardiac history [History: 347 (60.56%), No History: 226 (58.6%), p < 0.001]). This was observed in patients with a past medical history of hypertension, coronary artery disease, aortic stenosis, valve replacement, and congestive heart failure. Additionally, a significant relationship was observed between the development of a dysrhythmia and the need for cardiac intervention as significantly fewer patients who underwent cardiac intervention had dysrhythmia (Dysrhythmia (D): 64 [33.68%], No Dysrhythmia (ND): 126 [66.32%], p < 0.001).
In the entire population, 190 patients required cardiac intervention. Most patients undergoing an intervention underwent a cardiac procedure apart from cardiac catheterization, pacemaker placement, cardioversion, pacing/defibrillation, stent placement, or open-heart surgery (n = 168 [88.4%]). Only a third (n = 64 [33.7%]) of patients undergoing intervention had a dysrhythmia identified during their hospitalization. When looking at cardiac interventions by MOI, cardiac catheterization occurred in 50% (n = 7) of patients injured by MVC, followed by 36% for falls (n = 5). Cardiac catheterization was performed in one MCC patient (7.14%) and one patient injured by an animal (7.14%). Seven patients had pacemaker implantation, 85.71% (n = 6) of which were for patients who sustained a fall. Cardioversion was performed in three patients injured via MVC and one patient injured via fall. Pacing was performed in only one patient and that patient was involved in an MVC. Defibrillation was performed in 12 patients with 75% (n = 8) of these patients injured via MVC. Cardioversion was performed for three MVC patients and one patient injured via MCC. Additionally, one patient underwent open heart surgery, and one patient had a stent placement; both these patients were injured in an MVC.
In the entire study population, a total of 2314 (78.6%) patients received an EKG. The most frequently recorded dysrhythmias among our study population included bradycardia (n = 181, 24.4%), premature ventricular contraction (n = 133, 17.9%), premature atrial contraction (n = 116, 15.7%), type 1 AV block (n = 116, 15.7%), and AF (n = 74, 10.0%). There was a significant association between the development of a dysrhythmia and the administration of an antiarrhythmic medication during admission (administered anti-arrhythmic: 274 (47.7%), no administered anti-arrhythmic: 300 (52.3%), p < 0.001). Patients with atrial flutter (p < 0.001), AF (p < 0.001), supraventricular tachycardia (p < 0.001), and wide complex tachycardia (p < 0.001) were significantly more likely to receive anti-arrhythmic medications in-hospital. Additionally, those with documented dysrhythmia during their admission were significantly more likely to have had a previous pacemaker placement (p < 0.001).
In a subgroup analysis of geriatric patients, a total of 606 (20.6%) patients had elevated troponin at some point during their admission, with 365 (12.4%) patients presenting with elevated troponins. Of the patients with elevated troponins during their admission, 223 (36.8%) had a documented dysrhythmia (p < 0.001). Documented dysrhythmia was determined based on the patient’s EKG reads, with the mean number of days from admission to the first abnormal EKG being 1.63 (3.28 days). Over 25% of our study population had a dysrhythmia at the time of their admission, and the greatest number of days from admission to the development of a dysrhythmia was 15 days.
The type of cardiac interventions performed and the number of patients that underwent intervention based on the presence or absence of a dysrhythmia on arrival are shown in
Table 3. The type of cardiac history in patients that present with and without a dysrhythmia are also illustrated in
Table 3. Multivariable analyses showing risk factors for the development of dysrhythmia, undergoing cardiac intervention, and readmission for cardiac complications following blunt cardiac injury are shown in
Table 4. The results of the multivariate analyses examining risk factors for developing in-hospital complications, such as PE, deep vein thrombosis (DVT), myocardial infarction (MI), CVA, unplanned ICU admission, unplanned intubation, and unplanned return to the operating room, are shown in
Table 5.
When stratifying by AIS chest, a multivariable logistic regression examining risk for developing a dysrhythmia found that in those with an AIS = 4 (more severe chest injury), patients with a cardiac history (AOR: 2.75 [95% CI: 1.04–7.24], p= 0.041) and patients receiving greater than 10 units of blood products (AOR: 4.05 [95% CI: 1.29–12.71], p = 0.017) had a significantly greater risk of developing dysrhythmia. A similarly parsed-out logistic regression examining the risk of undergoing cardiac intervention found that in those with a more severe chest injury and receiving greater than 10 units of blood products also had a significantly greater risk of undergoing a cardiac intervention (AOR: 7.88 [95% CI: 2.18–28.50], p = 0.002).
4. Discussion
In our study, we found a 19.5% incidence of dysrhythmia following blunt thoracic trauma. A majority of those who developed a dysrhythmia presented with normal EKG and troponin at admission. Those who received greater than five units of packed red blood cells (pRBC) and/or had an ISS > 16 were at an increased risk of developing a dysrhythmia. As the ISS increased (i.e., more severely injured patients) so did the risk of undergoing cardiac intervention. Therefore, our hypothesis supported that blunt thoracic trauma may result in tissue damage that causes post-injury dysrhythmias requiring intervention.
Myocardial contusion (tissue injury) is seen in 60–100% of blunt thoracic traumas on autopsy [
2]. It is the second most common injury in blunt thoracic trauma leading to death [
1]. This is different from myocardial concussion, which is abnormal wall motion without tissue injury. Myocardial concussion is not benign; however, as up to 24% of autopsies from thoracic trauma reveal myocardial concussion [
1]. Despite the prevalence of myocardial contusion and concussion in blunt thoracic trauma, there is no well-established method to clinically identify either condition. In a 2004 prospective study, patients with blunt thoracic trauma were followed with serial cardiac enzymes. Thirty-four percent of patients had elevated cardiac enzymes. Of these, 25% developed a dysrhythmia. The remaining patients without elevated cardiac enzymes remained asymptomatic throughout their hospital stay [
8]. Therefore, it was concluded from this study that patients with elevated cardiac enzymes had known myocardial contusion. Similarly, a meta-analysis by Maenza et al. attempted to identify patients with blunt cardiac injury who were at risk of developing cardiac complications. In total, 25 prospective and 16 retrospective studies were examined and concluded that abnormal electrocardiogram (EKG) and elevated creatine kinase-MB (CK-MB) obtained in the emergency room correlated with an increased risk of cardiac complications requiring treatment [
9]. These findings suggest that cardiac evaluation with EKG and enzyme assays may be helpful in identifying those with cardiac injuries requiring monitoring and treatment. However, as can be seen in the data, there is still a significant portion of the population which suffers from cardiac complications without presenting initially with dysrhythmia. This suggests that further studies should be conducted to elucidate potential biochemical markers or methods to identify at-risk patients.
Only 37% of patients with abnormal troponins developed a dysrhythmia in our study. The remaining 63% of patients who developed a dysrhythmia had normal cardiac enzymes during their admission. In patients that developed a dysrhythmia, the time to an abnormal EKG was ~1.5 days, and the greatest time to an abnormal EKG was 15 days. Therefore, most patients who developed a dysrhythmia had a normal EKG and normal cardiac enzymes on admission. This is consistent with several case reports of patients developing dysrhythmias after blunt thoracic trauma, regardless of normal admission cardiac enzymes and EKG [
6,
7]. These findings suggest that 24 h is not an adequate duration for monitoring because not all dysrhythmias were identified in this timeframe. A 2020 case report in the American Journal of Forensic Medicine and Pathology, examined a dysrhythmia after blunt thoracic trauma that did not appear on EKG until post-injury day fifteen [
7]. Patient mortality was a result of acute mitral insufficiency and left ventricular failure. Autopsy results reveal cardiac contusion leading to mitral insufficiency. Although a dysrhythmia does not necessarily lead to mortality, it can often be associated with more serious cardiac conditions that do lead to mortality. Our data support current guidelines suggesting continuous cardiac monitoring for 24–48 h in all patients with high suspicion of cardiac injury. However, because not all patients initially present with elevated troponin or abnormal EKG, it may be reasonable to expand the patient population that we consider as an elevated risk.
MVCs resulted in the largest percentage of patients undergoing a cardiac intervention. Regardless of the speed at which an MVC occurs, there is a large energy transfer due to the mass of the vehicle. This creates a large energy transfer to the occupants of the vehicle which may contribute to a larger percentage of blunt cardiac injury regardless of direct thoracic trauma [
10]. These data may suggest that these patients are more likely to experience a dysrhythmia during their hospitalization and therefore may require a longer period of monitoring because they have experienced a more “high-risk” mechanism. Most patients in our study that underwent cardiac intervention were involved in MVC, suggesting that this high energy mechanism can induce injury despite a lack of evidence for direct thoracic trauma.
Our study also found that older patients had increased odds of developing dysrhythmia and, subsequently, a cardiac complication. This finding in our study was different from a large matched case-control study in 2007 by Ismailov et al. In this study, they evaluated exposure to thoracic trauma and the outcome of cardiac dysrhythmia. After adjusting for confounding factors, they reported that younger patients, under 50 years old, suffering cardiac injury after thoracic trauma had a four-fold increase in their risk of dysrhythmia [
11]. It is possible that the cause of dysrhythmia in our study may be due to a lower physiologic “tipping point” in older individuals, as they may have less cardiac reserve in blunt thoracic injury. This could be further supported by the greater percentage of geriatric patients that developed a dysrhythmia from falls, which is considered a low energy mechanism.
Receiving more than five units of pRBC and having an ISS > 16 were independent risk factors for developing a dysrhythmia, undergoing cardiac intervention, and readmission for cardiac complications. This is likely due to a combination of greater force transfer to the thorax and hypotension leading to decreased perfusion of the already contused myocardium. Hypovolemia and orthostatic hypotension are known precipitators of AF [
12,
13]. It is reasonable to suggest that hypotension from hemorrhagic shock would have a similar mechanism. Future studies could investigate this further. In a study published in 2021, all trauma patients between 2007 and 2010 were identified in the Healthcare Cost and Utilization Project State Inpatient Databases for California and Florida. They found that patients with new onset AF following any trauma were at a higher risk of developing a MI, CVA, or inpatient mortality [
14]. In our study, patients requiring greater than five units pRBC or with an ISS > 16 were more likely to undergo cardiac catheterization, pacemaker implantation, cardioversion, defibrillation, stent placement, thoracotomy, and/or CPR. This subset of patients also had a higher rate of AF and wide complex tachycardia. Patients with these specific dysrhythmias were also more likely to be prescribed long term antiarrhythmics at discharge. Morbidity was increased in those with a high ISS or with significant transfusion requirements, from a cardiac standpoint alone. Esme et al. evaluated trauma and injury severity score (TRISS), lung injury score (LIS), and ISS to assess the prognostic importance in blunt thoracic trauma. Like our results, they found that TRISS was an independent predictor of mortality, LIS was an independent predictor of morbidity, and ISS was an independent predictor of both hospital and ICU LOS [
15].
The prevention of dysrhythmia is an area not well studied in trauma or critically ill patients. There are prevention protocols in cardiothoracic surgery that have been shown to decrease postoperative morbidity and mortality from dysrhythmias [
16,
17]. Multiple studies have shown significant benefits using amiodarone for pharmacologic prophylaxis to prevent AF in cardiac and thoracic surgery patients; however, this has not been studied in the blunt thoracic trauma population [
16,
17]. Due to the novelty of prophylactic antiarrhythmic therapy, there is no standard protocol, and caution should be used if antiarrhythmic therapy is considered. We now know the incidence of dysrhythmia following blunt thoracic trauma at our Level I Trauma Center is 19.5%. Of those, the patients in critical condition receiving a transfusion are at an even greater risk for dysrhythmia and often undergo cardiac interventions. Further investigation is necessary in this patient population to determine if a prevention protocol would translate to a decreased incidence of dysrhythmia and subsequent morbidity and mortality if utilized in the critically ill trauma patient suffering blunt thoracic injury.
This study is not without limitations. First, this is a retrospective, single-center study, and thus may not be generalizable to the public. Given the retrospective nature, it is impossible to control for all confounding factors, such as medication use (e.g., beta-blockers, etc.) or pre-existing electrolyte abnormalities which may also influence the development of a dysrhythmia. Further, distinguishing which dysrhythmias were clinically relevant was challenging due to the retrospective nature of the study and the inability to determine causality. We found 11.5% of patients with a dysrhythmia had sinus tachycardia, often a benign dysrhythmia. However, other dysrhythmias, such as PVC, which are traditionally thought to be benign were associated with bigeminy in our study, leading us to consider them clinically relevant. Additionally, we are unable to determine which EKGs were obtained for screening versus diagnostic purposes, as not all patients underwent systematic EKGs or enzyme screening. We found that 78.6% of patients in our study received an EKG, and, as these were not performed universally, there is an added layer of selection bias that needs to be considered. Future studies may obtain screening EKGs as part of the treatment algorithm. Because rhythm disturbances were detected via a combination of continuous telemetry and intermittent EKG, this may have led to variability in detection. We may have a relatively older population compared to other institutions, which may have led to our difference in outcomes regarding age compared to what has previously been published. Having an older population could also increase the number of patients with undiagnosed, pre-existing dysrhythmias, which is a confounding factor difficult to assess given the retrospective nature of this study. Further, we did not conduct any long-term follow-up on patients in this study, so we are unable to determine post-discharge morbidity and mortality, as well as readmission for cardiac-related events, which would provide a more comprehensive conclusion.
5. Conclusions
Blunt thoracic trauma accounts for many deaths annually, and myocardial contusion is seen in almost all autopsies following death by this mechanism. Our study demonstrates that 19.5% of patients with blunt thoracic trauma at a Level I Trauma Center developed dysrhythmia. Cardiac history, injury severity, and blood product administration were found to be significant risk factors in developing a dysrhythmia. Additionally, with increasing ISS and transfusion amount, the risk of cardiac intervention and readmission for cardiac complications increased. Further studies could focus on prevention of dysrhythmia in critically ill trauma patients, as well as those at higher risk for cardiac complications post blunt thoracic injury, given the morbidity associated with various cardiac procedures and medications.
Author Contributions
Conceptualization, L.L.P., J.J. and D.J.C.; methodology, L.L.P., J.J., K.M. and N.H.; validation, L.L.P., J.J., K.M. and N.H.; formal analysis, K.M. and J.M.R.; investigation, J.J. and L.L.P.; resources, J.J., K.V.D. and L.L.P.; data curation, J.J., K.V.D., K.M., N.H., H.K. and U.K.; writing—original draft preparation, L.L.P., J.J., K.V.D., K.M. and N.H.; writing—review and editing, L.L.P., K.V.D., J.J., J.M.R. and D.J.C.; supervision, L.L.P.; project administration, K.M. and N.H. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
This study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Lancaster General Hospital (2022-17, 28 March 2022) for studies involving humans.
Informed Consent Statement
Patient consent was waived due to it posing no more than minimal risk to privacy, as it is a retrospective, observational study.
Data Availability Statement
Due to privacy and ethical restrictions, data sharing is not applicable to this article.
Conflicts of Interest
Lindsey L. Perea, DO has received grant funding in the form of equipment from Haemonetics for a study not associated with this project. No funding or support was received for this study.
Abbreviations
The following abbreviations are used in this manuscript:
EKG | Electrocardiogram |
CK-MB | Creatine Kinase-MB |
EAST | Eastern Association for the Surgery of Trauma |
AIS | Abbreviated Injury Scale |
ICU | Intensive Care Unit |
PE | Pulmonary Embolism |
CVA | Cerebrovascular Accident |
SVT | Supraventricular Tachycardia |
AF | Atrial Fibrillation |
AV | Atrioventricular |
IQR | Interquartile Range |
SD | Standard Deviation |
ISS | Injury Severity Score |
MOI | Mechanism of Injury |
CPR | Cardiopulmonary Resuscitation |
MVC | Motor Vehicle Collision |
MCC | Motorcycle Collision |
D | Dysrhythmia |
ND | No Dysrhythmia |
DVT | Deep Vein Thrombosis |
MI | Myocardial Infarction |
AOR | Adjusted Odds Ratio |
CI | Confidence Interval |
pRBC | Packed Red Blood Cells |
TRISS | Trauma and Injury Severity Score |
LIS | Lung Injury Score |
LOS | Length of Stay |
References
- Eghbalzadeh, K.; Sabashnikov, A.; Zeriouh, M.; Choi, Y.-H.; Bunck, A.C.; Mader, N.; Wahlers, T. Blunt chest trauma: A clinical chameleon. Heart 2017, 104, 719–724. [Google Scholar] [CrossRef]
- Schultz, J.M.; Trunkey, D.D. Blunt cardiac injury. Crit. Care Clin. 2004, 20, 57–70. [Google Scholar] [CrossRef] [PubMed]
- 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. J. Trauma Acute Care Surg. 2012, 73, S301–S306. [Google Scholar] [CrossRef] [PubMed]
- 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]
- Biffl, W.L.; Moore, F.A.; Moore, E.E.; Sauaia, A.; Read, R.A.; Burch, J.M. Cardiac enzymes are irrelevant in the patient with suspected myocardial contusion. Am. J. Surg. 1994, 168, 523–528. [Google Scholar] [CrossRef]
- Sakka, S.G.; Huettemann, E.; Giebe, W.; Reinhart, K. Late cardiac arrhythmias after blunt chest trauma. Intensive Care Med. 2000, 26, 792–795. [Google Scholar] [CrossRef]
- Farkašová Iannaccone, S.; Ginelliová, A.; Sopková, D.; Mistríková, L.; Fröhlichová, L.; Dettmeyer, R.; Farkaš, D. A fatal case of cardiac contusion after blunt chest injury. Am. J. Forensic Med. Pathol. 2020, 42, 70–72. [Google Scholar] [CrossRef] [PubMed]
- Rajan, G.P.; Zellweger, R. Cardiac troponin I as a predictor of arrhythmia and ventricular dysfunction in trauma patients with myocardial contusion. J. Trauma Acute Care Surg. 2004, 57, 801–808. [Google Scholar] [CrossRef] [PubMed]
- Maenza, R.L.; Seaberg, D.; D’Amico, F. A meta-analysis of Blunt Cardiac trauma: Ending myocardial confusion. Am. J. Emerg. Med. 1996, 14, 237–241. [Google Scholar] [CrossRef] [PubMed]
- Nair, L.; Winkle, B.; Senanayake, E. Managing blunt cardiac injury. J. Cardiothorac. Surg. 2023, 18, 71. [Google Scholar] [CrossRef] [PubMed]
- Ismailov, R.M.; Ness, R.B.; Redmond, C.K.; Talbott, E.O.; Weiss, H.B. Trauma associated with cardiac dysrhythmias: Results from a large matched case-control study. J. Trauma Acute Care Surg. 2007, 62, 1186–1191. [Google Scholar] [CrossRef] [PubMed]
- Edwards, J.D.; Wilkins, R.G. Atrial fibrillation precipitated by acute hypovolaemia. BMJ 1987, 294, 283–284. [Google Scholar] [CrossRef] [PubMed]
- Fedorowski, A.; Hedblad, B.; Engström, G.; Gustav Smith, J.; Melander, O. Orthostatic hypotension and long-term incidence of atrial fibrillation: The Malmö Preventive Project. J. Intern. Med. 2010, 268, 383–389. [Google Scholar] [CrossRef] [PubMed]
- Nassoiy, S.P.; Blackwell, R.H.; Brown, M.; Kothari, A.N.; Plackett, T.P.; Kuo, P.C.; Posluszny, J.A. Development of atrial fibrillation following trauma increases short term risk of cardiovascular events. J. Osteopath. Med. 2021, 121, 529–537. [Google Scholar] [CrossRef] [PubMed]
- Esme, H.; Solak, O.; Yurumez, Y.; Yavuz, Y.; Terzi, Y.; Sezer, M.; Kucuker, H. The prognostic importance of trauma scoring systems for blunt thoracic trauma. Thorac. Cardiovasc. Surg. 2007, 55, 190–195. [Google Scholar] [CrossRef] [PubMed]
- Koniari, I.; Apostolakis, E.; Rogkakou, C.; Baikoussis, N.G.; Dougenis, D. Pharmacologic prophylaxis for atrial fibrillation following cardiac surgery: A systematic review. J. Cardiothorac. Surg. 2010, 5, 121. [Google Scholar] [CrossRef] [PubMed]
- Phillips, J.D.; Porter, E.D.; Beaulieu-Jones, B.R.; Fay, K.A.; Hasson, R.M.; Millington, T.M.; Finley, D.J. Postoperative atrial fibrillation prophylaxis using a novel amiodarone order set. J. Thorac. Dis. 2020, 12, 3110–3124. [Google Scholar] [CrossRef] [PubMed]
Table 1.
Demographic and injury characteristics for patients with and without dysrhythmia.
Table 1.
Demographic and injury characteristics for patients with and without dysrhythmia.
| No Dysrhythmia (n = 2364) | Dysrhythmia (n = 574) | p-Value |
---|
Age a | 50 (32–65) | 64 (45–78) | <0.001 |
Male Gender b | 1548 (65.5) | 347 (60.5) | 0.024 |
Mechanism of Injury b | | | <0.001 |
MVC | 1075 (45.47) | 250 (43.55) | |
MCC | 286 (12.10) | 59 (10.28) | |
Bicycle | 82 (3.47) | 10 (1.74) | |
Pedestrian | 98 (4.15) | 25 (4.36) | |
Industrial | 22 (0.93) | 2 (0.35) | |
Farming | 17 (0.72) | 1 (0.17) | |
Off-Road Vehicle | 4 (0.17) | 3 (0.52) | |
Sports/Recreation | 17 (0.72) | 4 (0.70) | |
Fall | 583 (24.66) | 199 (34.67) | |
Assault | 25 (1.06) | 2 (0.35) | |
Buggy | 46 (1.95) | 5 (0.87) | |
Animal | 29 (1.23) | 6 (1.05) | |
Other | 52 (2.20) | 8 (1.39) | |
Injury Severity Score (ISS) a | 13 (9–18) | 14 (9–22) | <0.001 |
Units of Blood Products c | 0.74 (0.064) | 2.34 (0.272) | <0.001 |
Vent Days a | 0 (0–0) | 0 (0–1) | <0.001 |
ICU Length of Stay a | 0 (0–2) | 1 (0–5) | <0.001 |
Hospital Length of Stay a | 3 (1–6) | 5 (2–11) | <0.001 |
Mortality b | 115 (4.86) | 86 (14.98) | <0.001 |
Table 2.
Geriatric subgroup analysis: demographic and injury characteristics for patients with and without a dysrhythmia.
Table 2.
Geriatric subgroup analysis: demographic and injury characteristics for patients with and without a dysrhythmia.
| No Dysrhythmia (n = 611) | Dysrhythmia (n = 280) | p-Value |
---|
Age a | 74 (69–81) | 79 (72–85) | <0.001 |
Male Gender b | 334 (54.66) | 143 (51.07) | 0.318 |
Mechanism of Injury b | | | 0.419 |
MVC | 275 (45.01) | 122 (43.57) | |
MCC | 19 (3.11) | 11 (3.93) | |
Bicycle | 16 (2.62) | 5 (1.79) | |
Pedestrian | 24 (3.93) | 6 (2.14) | |
Industrial | 3 (0.49) | 1 (0.36) | |
Farming | 1 (0.16) | 0 (0) | |
Off-Road Vehicle | 2 (0.33) | 1 (0.36) | |
Sports/Recreation | 3 (0.49) | 1 (0.36) | |
Fall | 235 (38.46) | 127 (45.36) | |
Assault | 4 (0.65) | 0 (0) | |
Buggy | 12 (1.96) | 1 (0.36) | |
Animal | 7 (1.15) | 1 (0.36) | |
Other | 10 (1.64) | 4 (1.43) | |
Injury Severity Score (ISS) a | 12 (9–17) | 13 (9–20.5) | 0.021 |
Units of Blood Products a | 0 (0–0) | 0 (0–1) | <0.001 |
Vent Days c * | 0.55 (2.69) | 1.84 (5.29) | <0.001 |
ICU Length of Stay a | 1 (0–2) | 1 (0–4) | <0.001 |
Hospital Length of Stay a | 3 (2–6) | 5 (3–9) | <0.001 |
Mortality b | 52 (8.51) | 49 (17.50) | <0.001 |
Table 3.
Past cardiac history and cardiac interventions based on initial presence of dysrhythmia.
Table 3.
Past cardiac history and cardiac interventions based on initial presence of dysrhythmia.
| No Dysrhythmia (n = 2364) | Dysrhythmia (n = 574) | p-Value |
---|
Past Cardiac History | | | |
Hypertension | 820 (34.69) | 319 (55.57) | <0.001 |
CAD | 190 (8.04) | 114 (19.86) | <0.001 |
STEMI | 5 (0.21) | 3 (0.52) | 0.199 |
NSTEMI | 33 (1.40) | 16 (2.79) | 0.020 |
Aortic Stenosis | 14 (0.59) | 22 (3.83) | <0.001 |
Mitral Valve Prolapse | 5 (0.21) | 3 (0.52) | 0.199 |
Valve Replacement | 9 (0.38) | 11 (1.92) | <0.001 |
CHF | 62 (2.62) | 78 (13.59) | <0.001 |
Other | 133 (5.63) | 110 (19.16) | <0.001 |
Cardiac Intervention | | | |
Cardiac Catheterization | 5 (0.21) | 9 (1.57) | <0.001 |
Pacemaker Implantation | 3 (0.13) | 4 (0.70) | 0.012 |
Synchronized Cardioversion | 1 (0.04) | 3 (0.52) | 0.005 |
Pacing | 0 (0) | 1 (0.17) | 0.042 |
Defibrillation | 8 (0.34) | 6 (1.05) | 0.027 |
Open Heart | 0 (0) | 1 (0.17) | 0.042 |
Stent Placement | 1 (0.04) | 0 (0) | 0.622 |
Other | 119 (5.03) | 49 (8.54) | 0.001 |
Table 4.
Multivariable analyses showing risk factors associated with dysrhythmia undergoing cardiac intervention and readmission for cardiac complication following blunt cardiac injury.
Table 4.
Multivariable analyses showing risk factors associated with dysrhythmia undergoing cardiac intervention and readmission for cardiac complication following blunt cardiac injury.
Risk Factors for Developing Dysrhythmia | Odds Ratio | 95% Confidence Interval | p-Value |
---|
Age | 1.022 | 1.016–1.029 | <0.001 |
ISS Greater than 25 | 2.350 | 1.429–2.861 | <0.001 |
GCS of 13–15 | 0.501 | 1.429–2.861 | 0.015 |
Receiving 5–10 Units of Blood Products | 2.230 | 1.360–3.660 | 0.002 |
Receiving > 10 Units of Blood Products | 1.790 | 1.730–5.480 | <0.001 |
Cardiac History | 1.790 | 1.351–2.202 | <0.001 |
Risk Factors for Undergoing Cardiac Intervention | | | |
Development of Dysrhythmia | 1.790 | 1.210–2.653 | 0.004 |
Fall MOI | 0.067 | 0.004–1.019 | 0.054 |
Greater TRISS | 0.133 | 0.036–0.492 | 0.003 |
ISS of 16–25 (Severe) | 4.050 | 2.470–6.652 | <0.001 |
ISS Greater than 25 (Profound) | 9.120 | 5.372–15.468 | <0.001 |
Risk for Being Readmitted for Cardiac Complications | | | |
Age | 1.040 | 1.017–1.072 | 0.001 |
ISS of 16–25 (Severe) | 2.350 | 0.961–5.895 | 0.061 |
ISS Greater than 25 (Profound) | 7.000 | 1.539–31.875 | 0.012 |
Table 5.
Multivariate analyses evaluating risk factors for developing in-hospital complications.
Table 5.
Multivariate analyses evaluating risk factors for developing in-hospital complications.
Risk Factors for Developing In-Hospital Complications | Odds Ratio | 95% Confidence Interval | p-Value |
---|
Pulmonary Embolism (PE) | | | |
Development of Dysrhythmia | 2.97 | 1.048–8.417 | 0.041 |
ISS of 16–25 (Severe) | 6.54 | 1.700–25.255 | 0.006 |
ISS Greater than 25 (Profound) | 8.56 | 1.673–43.850 | 0.010 |
Cardiac History | 0.15 | 0.028–0.763 | 0.023 |
Deep Vein Thrombosis (DVT) | | | |
ISS of 16–25 (Severe) | 4.31 | 1.423–13.040 | 0.010 |
ISS Greater than 25 (Profound) | 11.87 | 3.760–37.420 | <0.001 |
Receiving 5–10 Units of Blood Products | 3.86 | 1.390–10.740 | 0.010 |
Receiving > 10 Units of Blood Products | 12.79 | 5.010–32.660 | <0.001 |
Myocardial Infarction (MI) | | | |
Age | 1.07 | 1.020–1.120 | 0.006 |
Male Gender | 3.67 | 1.040–13.040 | 0.044 |
Receiving 5–10 Units of Blood Products | 18.20 | 4.600–72.020 | <0.001 |
Cerebrovascular Accident (CVA) | | | |
Development of Dysrhythmia | 3.06 | 1.070–8.800 | 0.038 |
Unplanned ICU Admission | | | |
Development of Dysrhythmia | 2.39 | 1.510–3.800 | <0.001 |
Undergoing Cardiac Intervention | 2.23 | 1.130–4.410 | 0.021 |
Unplanned Intubation | | | |
Development of Dysrhythmia | 2.88 | 1.820–4.560 | <0.001 |
Unplanned Return to Operating Room | | | |
Development of Dysrhythmia | 3.12 | 1.520–6.420 | 0.002 |
| Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).