Literature DB >> 35012008

Risk Factors Associated with Mortality in Severe Chest Trauma Patients Admitted to the ICU.

Jesús Abelardo Barea-Mendoza1, Mario Chico-Fernández1, Manuel Quintana-Díaz2, Jon Pérez-Bárcena3, Luís Serviá-Goixart4, Ismael Molina-Díaz5, María Bringas-Bollada6, Antonio Luis Ruiz-Aguilar7, María Ángeles Ballesteros-Sanz8, Juan Antonio Llompart-Pou3.   

Abstract

Our objective was to determine outcomes of severe chest trauma admitted to the ICU and the risk factors associated with mortality. An observational, prospective, and multicenter registry of trauma patients admitted to the participating ICUs (March 2015-December 2019) was utilized to collect the patient data that were analyzed. Severe chest trauma was defined as an Abbreviated Injury Scale (AIS) value of ≥3 in the thoracic area. Logistic regression analysis was used to evaluate the contribution of severe chest trauma to crude and adjusted ORs for mortality and to analyze the risk factors associated with mortality. Overall, 3821 patients (39%) presented severe chest trauma. The sample's characteristics were as follows: a mean age of 49.88 (19.21) years, male (77.6%), blunt trauma (93.9%), a mean ISS of 19.9 (11.6). Crude and adjusted (for age and ISS) ORs for mortality in severe chest trauma were 0.78 (0.68-0.89) and 0.43 (0.37-0.50) (p < 0.001), respectively. In-hospital mortality in the severe chest trauma patients without significant traumatic brain injury (TBI) was 5.63% and was 25.71% with associated significant TBI (p < 0.001). Age, the severity of injury (NISS and AIS-head), hemodynamic instability, prehospital intubation, acute kidney injury, and multiorgan failure were risk factors associated with mortality. The contribution of severe chest injury to the mortality of trauma patients admitted to the ICU was very low. Risk factors associated with mortality were identified.

Entities:  

Keywords:  RETRAUCI; chest trauma; intensive care; risk factors; severe trauma; thoracic trauma

Year:  2022        PMID: 35012008      PMCID: PMC8745825          DOI: 10.3390/jcm11010266

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


1. Introduction

Severe trauma remains a major public health problem. It constitutes the leading cause of death, hospitalization, and long-term disabilities in young patients [1]. Trauma patients admitted to the intensive care unit (ICU) usually present injuries in different anatomical areas [2]. In our environment, chest trauma constitutes the second most severely affected anatomical area among trauma ICU patients [2]. Whilst consensus exists regarding the important role of severe chest trauma in prehospital mortality in patients presenting with hemodynamic instability [3,4], its exact contribution to the mortality rates of trauma patients admitted to the ICU and its associated risk factors remain to be determined. Some authors suggest that it directly accounts for approximately 25% of trauma related-mortality and is a contributing factor in another 25% of cases [5], remaining unchanged over the years [6], whilst others suggest that its contribution to mortality is almost irrelevant [7,8]. The association of extra-thoracic injuries is common in this population [8]. Due to this controversy, our objective in this multicenter study was to determine outcomes of severe chest trauma patients admitted to the ICU and the risk factors associated with mortality, using data from the Spanish Trauma ICU Registry (RETRAUCI).

2. Materials and Methods

The RETRAUCI is an observational, prospective, and multicenter nationwide registry that currently includes 52 ICUs in Spain. It is endorsed by the Neurointensive Care and Trauma Working Group of the Spanish Society of Intensive Care Medicine (SEMICYUC) and currently operates in a web-based electronic system (www.retrauci.org, accessed on 10 December 2021). Ethics Committee approval for the registry was obtained (Hospital Universitario 12 de Octubre, Madrid: 12/209). Informed consent was not obtained for this specific study, since this was a retrospective analysis of de-identified collected data. We included in this study all adult patients admitted to the participating ICUs between March 2015 and December 2019. Patients were managed according to the Advanced Trauma Life Support principles. In this population, we analyzed the incidence, outcomes, and risk factors associated with mortality in severe chest trauma patients. Data on the epidemiology, acute management in the pre-hospital and in-hospital stages, type and severity of injury, resource utilization, complications, and outcomes were recorded. We only excluded patients with incomplete data or unknown hospital outcomes. Severe chest trauma was defined as an Abbreviated Injury Scale (AIS) value of ≥3 in the thoracic area. The control group included patients without chest trauma and those with thoracic AIS ≤ 2 [8]. Hemodynamic condition was considered as follows [9]: Stable, systolic blood pressure > 90 mmHg during initial trauma care. Unstable, responding to volume replacement—systolic blood pressure < 90 mmHg requiring volume replacement for normalization. Shock, systolic blood pressure < 90 mmHg requiring volume replacement, blood products, and vasoactive support for normalization. Refractory shock, hypotension refractory to volume replacement, blood products, or vasoactive support and activation of the massive bleeding protocol. Rhabdomyolysis, laboratory test determination of creatine kinase > 5000 U/L [10]. Acute kidney injury (AKI) was evaluated by using the Risk, Injury, Failure, Loss of kidney function and End-stage kidney disease (RIFLE) definition [10]. Trauma-associated coagulopathy, prolongation of the prothrombin and activated partial thromboplastin over 1.5 times the control values, fibrinogen < 150 mg/dL, or thrombocytopenia (<100,000/µL) in the first 24 h [9]. Multiorgan failure was defined, using the Sequential-related Organ Failure Assessment (SOFA), as the alteration of two or more organs with a score of ≥3 [9]. Massive hemorrhage was defined as the need for more than 10 packed red blood cell concentrates in the initial 24 h.

2.2. Statistical Analysis

Quantitative variables are shown as means ± standard deviations (SDs) and qualitative variables as numbers (percentages). Categorical variables were analyzed using the χ2 or Fisher’s exact test. For continuous data, we studied normality with the Shapiro–Wilk test. Continuous data were evaluated using the Student’s t-test or the non-parametric Kruskal–Wallis test in the case of a non-normal distribution. We analyzed the contribution of severe chest trauma to crude and adjusted (for age and ISS) ORs for mortality by using logistic regression analyses. A multiple logistic regression analysis was performed to analyze the risk factors associated with death in severe chest trauma patients. The variables entered in the logistic regression analysis were those significantly associated with death in the univariate analysis. A p-value of <0.10 was considered significant. Results are presented as odds ratios (ORs) with 95 percent confidence intervals (95% CI). The calibration and goodness-of-fit of the logistic regression models were evaluated using the χ2 Hosmer–Lemeshow (HL) test, and model discrimination was assessed by means of the area under the receiver operating characteristic curve (AUROC) analysis. We reported all results as stated in the RECORD statement [11]. Statistical analysis was performed with STATA 15 (StataCorp. 2017).

3. Results

During the study period, 9790 trauma patients were admitted to the participating ICUs. The mean age of the sample was 49.88 (19.21) years, 77.6% were male, 93.9% had presented trauma, the mean ISS score was 19.9 (11.6), and the mean NISS score was 25.63 (14.62). The distribution of the severity of thoracic injury according to the AIS was: 4752 patients (48.54%) with no thoracic involvement, 183 patients (1.87%) with thoracic AIS 1, 1034 patients (10.56%) with thoracic AIS 2, 2294 patients (23.43%) with thoracic AIS 3, 1060 patients (10.83%) with thoracic AIS 4, 458 patients (4.68%) with thoracic AIS 5, and 9 patients (0.09%) with thoracic AIS 6. Therefore, up to 3821 patients (39%) presented with a thoracic AIS ≥ 3; these patients constituted the study population and the remaining 5969 comprised the control group. Baseline characteristics of the population with severe chest trauma and the control group are summarized in Table 1.
Table 1

Baseline characteristics of the population with severe chest trauma and the control group.

Severe Chest Trauman = 3821Control Groupn = 5969p-Value
Age49.72 (18.28)49.97 (19.79)0.668
Sex79.53%76.47%<0.01
Penetrating5.26%6.50%0.012
ISS25.60 (12.39)16.12 (9.47)<0.001
ISS ≥1680.53%53.68%<0.01
NISS31.27 (13.75)22.02 (14.00)<0.001
Mechanism <0.01
Ground-level fall11.70%30.41%
RTA-car21.49%13.49%
Precipitation18.42%11.83%
RTA-motorcycle20.70%12.95%
RTA-run over8.40%8.56%
Other19.29%23.67%
Prehospital mobile ICU74.33%70.95%<0.01
Prehospital intubation22.03%22.41%0.825
Hemodinamically stable56.71%70.02%<0.01

ISS, injury severity score; NISS, new injury severity score; RTA, road traffic accident; ICU, intensive care unit.

The percentage of patients with AIS values of ≥3 in the different areas in the severe chest trauma and the control groups are shown in Table 2. The mean values (SD) of the AIS values in the different areas are summarized in Table 3.
Table 2

Percentage of patients with AIS ≥ 3 in the different areas in the severe chest trauma and control groups.

Severe Chest Trauman = 3821Control Groupn = 5969p-Value
Head30.83%55.79%<0.001
Face2.88%3.17%0.420
Abdomen18.35%12.00%<0.001
Extremities22.27%17.62%<0.001
External0.24%1.71%<0.001
Table 3

Mean values (SD) of the AIS values in the different areas in the severe chest trauma and control groups.

Severe Chest Trauman = 3821Control Groupn = 5969p-Value
Head3.06 (1.23)3.56 (1.15)<0.001
Face1.79 (0.73)1.79 (0.73)0.896
Abdomen2.68 (0.94)2.80 (0.90)<0.001
Extremities2.52 (0.90)2.61 (0.95)<0.001
External1.25 (1.56)2.26 (1.56)<0.001
Urgent (<24 h) cardiothoracic (4.34% vs. 0.37%, p < 0.001) and abdominal (8.35% vs. 4.72%, p < 0.001) surgeries were more frequent in the severe chest trauma group, whereas urgent (<24 h) neurosurgical procedures were more frequent in the control group (16.32% vs. 5.78%, p < 0.001). In the initial 24 h, 30.46% of patients with severe chest trauma received packed red blood cell concentrates, and 22.86% received fresh frozen plasma. In the control group, 19.62% of patients received packed red blood cell concentrates, and 14.48% received fresh frozen plasma (both ps < 0.001). Bleeding control angiography was used more often in the severe chest trauma group (7.40% vs. 5.83%, p = 0.004), as well as the need for tracheostomy (13.17% vs. 10.18%, p < 0.001). Patients with severe chest trauma presented a higher percentage of complications because of the higher severity of injury (Table 3). Intracranial hypertension was more frequent in the control group since the severity of brain injury, as measured by the AIS-head, was higher (Table 4).
Table 4

Percentage of complications in the severe chest trauma and control groups.

Severe Chest Trauman = 3821Control Groupn = 5969p-Value
Rhabdomyolysis22.46%11.33%<0.001
Trauma-associated coagulopathy20.14%13.41%<0.001
Massive hemorrhage9.20%4.21%<0.001
Acute kidney injury22.53%13.88%<0.001
Intracranial hypertension11.44%20.37%<0.001
Respiratory failure(PaO2/FiO2 < 300) 39.94%17.77%<0.001
Nosocomial infection23.34%19.97%<0.001
Multiorgan failure14.76%7.01%<0.001
Mechanical ventilation was more frequently used in the control group, likely because of the higher incidence of severe head injury; however, the length of mechanical ventilation and the ICU length of stay were higher in the severe chest trauma group (Table 5). Despite the higher severity of injury, both ICU and in-hospital mortality were lower in the severe chest trauma group. Crude and adjusted (for age and ISS) ORs for mortality in the severe chest trauma group were 0.78 (0.68–0.89) and 0.43 (0.37–0.50), p < 0.001, respectively. Of note, up to 34% of the deceased in the severe trauma group died because of intracranial hypertension (Table 4). As a result, we explored the mortality in the severe chest trauma group according to the coexistence of severe head injury (AIS-head ≥ 3). In-hospital mortality in the severe chest trauma group without significant traumatic brain injury (TBI) was 5.63% and was 25.71% with associated significant TBI, p < 0.001. The relationship between chest and brain injury and in-hospital mortality is shown in Figure 1.
Table 5

Main outcomes in the severe chest trauma and control groups.

Severe Chest Trauman = 3821Control Groupn = 5969p-Value
Angioembolization7.4%5.83%0.004
MV45.09%50.96%<0.001
Days of MV(if ≥1 day)10.58 (12.50)7.46 (11.00)<0.001
ICU LOS9.97 (16.33)7.85 (12.48)<0.001
ICU mortality10.43%12.95%<0.001
In-hospital mortality11.81%15.00%<0.001
Cause of death <0.001
Exsanguination13.56%4.09%
Intracranial hypertension34.84%57.26%
Multiorgan failure30.05%14.39%
Other21.54%24.26%

MV, mechanical ventilation; ICU, intensive care unit.

Figure 1

In-hospital mortality prediction in chest trauma according to the severity of head injury.

Multiple logistic regression analyses were performed to analyze the risk factors associated with mortality in the severe chest trauma group. Age, the severity of injury evaluated by the NISS and the AIS-head, hemodynamic instability, the need for prehospital intubation, and the development of acute kidney injury and multiorgan failure were independently associated with mortality. On the other hand, nosocomial infection, trauma-associated coagulopathy, and the need for tracheostomy were protective factors (Table 6).
Table 6

Risk factors associated with mortality in severe chest trauma using multiple logistic regression analyses.

VariableOR (95% CI)p-Value
Age1.03 (1.02–1.04)<0.001
NISS1.02 (1.01–1.04)<0.001
AIS-head
AIS-head 21.92 (1.03–3.58)0.039
AIS-head 31.88 (1.06–3.34)0.030
AIS-head 45.84 (3.29–10.36)<0.001
AIS-head 515.92 (8.66–29.26)<0.001
Hemodynamics
Unstable volume-response1.91 (1.01–3.59)0.044
Shock4.70 (2.89–7.65)<0.001
Refractory shock73.52 (37.73–143.27)<0.001
Prehospital intubation2.18 (1.55–3.05)<0.001
Multiorgan failure2.82 (1.82–4.38)<0.001
Acute kidney injury1.89 (1.27–2.81)0.001
Nosocomial infection0.41 (0.26–0.62)<0.001
Trauma-associated coagulopathy0.87 (0.79–0.96)0.006
Tracheostomy0.08 (0.04–0.15)<0.001

NISS, new injury severity score; AIS, abbreviated injury scale.

The values in parentheses represent the 95 percent confidence intervals. Variables with p < 0.10 in univariate analysis were entered into the multivariable models. The area under the receiver operating characteristic curve (AUROC) was 0.94 (95% CI, 0.93–0.96). The result of the Hosmer–Lemeshow (HL) test was χ2 = 13.41, p = 0.09. (Figure 2)
Figure 2

Receiver operating characteristic (ROC) curve for the predictive model.

4. Discussion

The main finding of our study was that severe chest trauma was associated with a low mortality burden once the patient is admitted to the ICU. In addition, we identified different risk factors associated with mortality, including age, the severity of the injury, brain injury, hemodynamic instability, the need for prehospital intubation, and the development of acute kidney injury and multiorgan failure. The contribution of chest trauma to the mortality of trauma patients remains controversial since studies have shown contradictory results. Single-center studies have shown a low mortality rate even considering higher ISS values [7,8], but data obtained from multicenter registries show a higher mortality rate [6,12] that has remained stable over the last few years [6]. We observed a low mortality rate in patients with severe chest injury admitted to the ICU, even considering the higher ISS in this population, as shown by Grubmüller et al. [8]. Moreover, mortality was highly dependent on the severity of brain injury, as determined by the AIS-head value. In-hospital mortality in severe chest trauma with AIS-head values <3 was only 5.63%. The interaction of brain injury and chest trauma in the outcomes of trauma patients has been described elsewhere in an inverse manner [13,14]. In our series, the probability of mortality with AIS-head 1–3 was very low, even in cases with thoracic AIS 4 and 5, thus indicating a low burden of mortality associated with the thoracic injuries. Although our study was not designed for this purpose, the low mortality rates that were found were likely secondary to the use of a standardized approach, including local and systemic analgesia, a chest drain when necessary, non-invasive ventilation, lung-protective ventilation if acute respiratory distress syndrome is developing, early extubation, the use of extracorporeal membrane oxygenation, and/or rib fixation [15,16,17,18]. We additionally identified risk factors associated with mortality in chest trauma patients, including age, the severity of the trauma, and the severity of brain injury; variables related to physiological trauma, such as hemodynamic instability and the need for prehospital intubation; and the development of complications, such as acute kidney injury and multiorgan failure. Some factors were associated with a lower mortality, likely reflecting a longer ICU length of stay due to the lower mortality rates found (nosocomial infection and need of tracheostomy), rather than a protective role. The control group had a higher incidence of severe brain injury and the development of intracranial hypertension, which was a major determinant of death (57.26% of cases in the control group). Previous studies have identified factors associated with mortality in chest trauma. Huber et al. identified severe vessel intrathoracic injuries, bilateral lung contusions, bilateral major lacerations, bilateral flail chest, age, blood transfusion, initial and admission hypotension (<90 mmHg), AIS-head ≥ 3, AIS-abdomen ≥ 3, and structural heart injury (AIS ≥ 3) as the risk factors associated with mortality [19]. In a single-center study, Söderlund et al. identified the degree of hypoperfusion (base excess) and coagulation abnormalities (thromboplastin time) at admission as risk factors associated with mortality [20]. In a systematic review, Battle et al. found that age, the number of rib fractures, the presence of pre-existing disease, and pneumonia to be related to mortality in 29 identified studies [21]. The main strength of our study is the large sample of trauma patients admitted to the participating ICUs. To date, this is the largest sample evaluated in Spain, and we believe this study clearly delineates the epidemiology and outcomes of severe chest injury in our environment. This supports the usefulness of trauma registries in the management and benchmarking of severe trauma patients [22,23]. However, limitations must be acknowledged too. Despite patients being managed following the Advanced Trauma Life Support principles, we cannot rule out deviations, so this could affect patients’ management and outcomes. In addition, the inclusion criteria of being admitted to the participating ICUs may not reflect the critical trauma population due to differences in the admission criteria and bed and staffing availability. Lastly, Trauma-associated coagulopathy was associated with a protective effect in terms of the mortality of severe chest trauma patients. Trauma-associated coagulopathy is usually associated with a higher burden of morbidity and mortality [4,24]. We were unable to identify the underlying reason for this observed effect. We acknowledge that a detailed analysis of the different types of thoracic injuries—differentiating vascular, cardiac, airway disruptions injuries—might improve the comprehension of our results.

5. Conclusions

In conclusion, we found that the contribution of severe chest injury to the mortality of trauma patients admitted to the ICU is very low. Risk factors associated with mortality included age, the severity of the trauma, the severity of brain injury, hemodynamic instability, the need for prehospital intubation, and the development of acute kidney injury and multiorgan failure.
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Review 1.  The diagnosis and treatment of non-cardiac thoracic trauma.

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Journal:  Anaesth Crit Care Pain Med       Date:  2017-01-16       Impact factor: 4.132

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4.  Associated risk factors and outcomes of acute kidney injury in severe trauma: Results from the Spanish trauma ICU registry (RETRAUCI).

Authors:  Mario Chico-Fernández; Jesús Abelardo Barea-Mendoza; Txoan Ormazabal-Zabala; Gerard Moreno-Muñoz; Diego Pastor-Marcos; Ana Bueno-González; Alberto Iglesias-Santiago; Maria Ángeles Ballesteros-Sanz; Jon Pérez-Bárcena; Juan Antonio Llompart-Pou
Journal:  Anaesth Crit Care Pain Med       Date:  2020-04-11       Impact factor: 4.132

Review 5.  The value of trauma registries.

Authors:  Lynne Moore; David E Clark
Journal:  Injury       Date:  2008-06       Impact factor: 2.586

6.  Impact of thoracic injury on traumatic brain injury outcome.

Authors:  Dawei Dai; Qiang Yuan; Yinfeng Sun; Fang Yuan; Zuopeng Su; Jun Ding; Hengli Tian
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

7.  Thoracic trauma now and then: A 10 year experience from 16,773 severely injured patients.

Authors:  Klemens Horst; Hagen Andruszkow; Christian D Weber; Miguel Pishnamaz; Christian Herren; Qiao Zhi; Matthias Knobe; Rolf Lefering; Frank Hildebrand; Hans-Christoph Pape
Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

Review 8.  Lessons from a large trauma center: impact of blunt chest trauma in polytrauma patients-still a relevant problem?

Authors:  Konstantina Chrysou; Gabriel Halat; Beatrix Hoksch; Ralph A Schmid; Gregor J Kocher
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-04-20       Impact factor: 2.953

9.  Impact of blunt chest trauma on outcome after traumatic brain injury- a matched-pair analysis of the TraumaRegister DGU®.

Authors:  Mark Schieren; Frank Wappler; Arasch Wafaisade; Rolf Lefering; Samir G Sakka; Jost Kaufmann; Hi-Jae Heiroth; Jerome Defosse; Andreas B Böhmer
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-03-12       Impact factor: 2.953

10.  The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement.

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Erik von Elm; Sinéad M Langan
Journal:  PLoS Med       Date:  2015-10-06       Impact factor: 11.069

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