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. 2019 Jul 3;46(1):11–19. doi: 10.1007/s00068-019-01179-1

Incidence of post-traumatic pneumonia in poly-traumatized patients: identifying the role of traumatic brain injury and chest trauma

Martijn Hofman 1,, Hagen Andruszkow 1, Philipp Kobbe 1, Martijn Poeze 2,#, Frank Hildebrand 1,#
PMCID: PMC7223163  PMID: 31270555

Abstract

Purpose

Traumatic brain injury (TBI) and chest trauma are common injuries in severely injured patients. Both entities are well known to be associated with severe post-traumatic complications, including pneumonia, a common complication with a significant impact on the further clinical course. However, the relevance of TBI, chest trauma and particularly their combination as risk factors for the development of pneumonia and its impact on outcomes are not fully elucidated.

Methods

A retrospective analysis of poly-traumatized patients treated between 2010 and 2015 at a level I trauma centre was performed. Inclusion criteria were: Injury Severity Score ≥ 16 and age ≥ 18 years. TBI and chest trauma were classified according to the Abbreviated Injury Scale. Complications (i.e. acute respiratory distress syndrome (ARDS), multi-organ dysfunction syndrome (MODS) and pneumonia) were documented by a review of the medical records. The primary outcome parameter was in-hospital mortality.

Results

Over the clinical course, 19.9% of all patients developed pneumonia, and in-hospital mortality was 25.3%. Pneumonia (OR 5.142, p = 0.001) represented the strongest independent predictor of in-hospital mortality, followed by the combination of chest injury and TBI (OR 3.784, p = 0.008) and TBI (OR 3.028, p = 0.010). Chest injury alone, the combination of chest injury and TBI, and duration of ventilation were independent predictors of pneumonia [resp. OR 4.711 (p = 0.004), OR 4.193 (p = 0.004), OR 1.002 (p < 0.001)].

Conclusions

Chest trauma alone and especially its combination with TBI represent high-risk injury patterns for the development of pneumonia, which forms the strongest predictor of mortality in poly-traumatized patients.

Keywords: TBI, Chest injury, Poly-trauma, Pneumonia, Mortality

Introduction

Traumatic brain injury (TBI) and chest trauma represent the most common injuries in severely injured patients, and there is a high co-incidence of these injury patterns [1, 2]. TBI is a serious condition [3, 4] that can be caused by both the primary traumatic impact and secondary factors, such as hypoxia, hypotension, anaemia, hypo- or hyperglycaemia and inflammatory processes [57]. TBI is frequently associated with a prolonged stay on the intensive care unit (ICU), a high incidence of disability and mortality rates of up to 40% [215].

Chest trauma is also well known to have a significant impact on the clinical course after trauma (e.g. increased ventilation times, extended ICU stay) [9]. In this context, pulmonary injuries particularly impair lung function. The resulting pulmonary dysfunction can be exacerbated by TBI-related interferences, such as an increased risk of aspiration or reduced defence mechanisms [8]. Further, there is evidence that even TBI alone can result in significant lung injury, likely by the induction of systemic inflammatory response syndrome (SIRS) [10].

The aforementioned aspects might explain the incidence of ventilation-associated pneumonia (VAP) of multiple trauma patients, which is four times higher than the non-trauma ICU population [5, 11]. Due to the potentially devastating consequences of pneumonia, adequate trauma care is essential to avoid the development of post-traumatic complications [e.g. multi-organ dysfunction syndrome (MODS), acute respiratory distress syndrome (ARDS)] and adverse outcomes [12, 13].

However, despite the knowledge of the impact of TBI and chest trauma on the clinical course of severely injured patients, the specific relevance of these injury patterns, particularly in their combination (e.g. as independent risk factors), to the development of pneumonia and the subsequent clinical course is not fully clarified.

Therefore, it is important to investigate the relevance of TBI, chest trauma and their combination to the development of pneumonia and the subsequent effects on the development of complications and mortality. Identification of both, an injury-specific risk profile and the impact on the clinical course might help to better prevent, diagnose and treat infections of the lung in patients with severe TBI and/or chest trauma.

Materials and methods

Study design, inclusion criteria and group distribution

A retrospective analysis of severely injured patients admitted to a level I trauma centre (Department of Orthopedic Trauma and Reconstructive Surgery, University of Aachen Medical Center, Germany) was performed. The patients were selected from our trauma database over a time period of 5 years (January 2010 until December 2015). Over the entire clinical course, clinical and radiologic records were retrieved for analysis. Further, overall length of hospital stay, stay on intensive care unit, duration of ventilation and parameters for the definition of complications were determined.

The following inclusion criteria were administered: New Injury Severity Score (NISS) ≥ 16 and age ≥ 18 years. Patients with incomplete data on injury severity, TBI and chest injury were excluded (n = 12).

According to the presence of chest and/or brain injury, we divided the included patients into four groups:

  • Group poly-trauma I: Severely injured patients without TBI or chest trauma.

  • Group poly-trauma II: Severely injured patients with chest trauma (without TBI).

  • Group poly-trauma III: Severely injured patients with TBI (without chest trauma).

  • Group poly-trauma IV: Severely injured patients with TBI and chest trauma.

Injury severity and severity of traumatic brain injury and chest injury

The overall injury severity was determined with the 2005 revised edition of the Abbreviated Injury Scale (AIS) and summarized with the NISS [15, 16]. Traumatic brain injuries were classified according to the AIShead score. Patients with an AIShead ≥ 3 were included in group poly-trauma III or IV. The severity of chest trauma was classified according to the AISthorax. An AISthorax ≥ 3 resulted in an inclusion in group poly-trauma II or IV. A further subdivision of chest trauma took place according to the structural injury: rib fracture, lung contusion, pneumothorax, haemothorax and tension pneumothorax.

Clinical course

All patients were managed according to the standard protocol for severely injured patients of the level I centre. Severely injured patients were first evaluated and treated in the emergency department by a trauma team according to the principles of Advanced Trauma Life Support®. Radiographic diagnostics in the emergency room and therapy in the first surgical phase were performed according to the recommendations of the S3-guidelines (evidence- and consensus-based guidelines) on treatment of poly-trauma/severe injuries. Treatment on the ICU was also performed according to the department-specific protocols and relevant ICU guidelines.

Outcome and complications

Documented complications included ARDS, MODS and pneumonia.

ARDS was defined according to the American–European Consensus Conference on ARDS [17]. The following criteria should be fulfilled to diagnose ARDS: acute onset; oxygenation paO2/FiO2 ≤ 200 mmHg (regardless of positive end-expiratory pressure); bilateral infiltrates seen on a frontal chest radiograph; pulmonary artery wedge ≤ 18 mmHg when measured or no clinical evidence of left atrial hypertension. MODS was classified according to the Sequential Organ Failure Assessment (SOFA) score. The SOFA score allows for calculation of both the number and the severity of organ dysfunction according to the following parameter of six organ systems: PaO2, FiO2, application of mechanical ventilation (respiratory), platelet count (coagulatory), bilirubin (liver), mean arterial pressure or administration of vasoactive agents (cardiovascular), creatinine or urine output (renal) and Glasgow Coma Score (GCS) (neurologic) [18, 19]. MODS was defined by an increased SOFA score of at least two organ systems. Pneumonia was diagnosed when the patient met the following criteria: new or progressive pulmonary infiltrates on a chest radiograph with fever (temperature > 38.3 °C) or leucocytes < 4000 cells/mm3 or > 12,000 cells/mm3 and at least two of the following signs: new or changed production of purulent sputum; new or worsening dyspnoea or cough; declining oxygenation or increased oxygen requirement or need for respiratory assistance [20]. The primary outcome parameter was defined as mortality over the clinical course.

Statistical methods

Incidences are presented with counts and percentages, while continuous values are presented with the mean and standard deviations and median. Selected differences were evaluated using the Chi-squared test for counts and analysis of variance for continuous variables. The Spearman rank correlation coefficient was used to determine potential statistical associations. A two-sided p value < 0.05 was considered to be significant.

Multivariate logistic regression analysis was performed to evaluate independent predictors toward development of MODS, ARDS, pneumonia and mortality. Results were reported as odds ratio (OR) with 95% confidence intervals (95% CI).

The data were analyzed using the Statistical Package for the Social Sciences (SPSS; version 25; IBM Inc., Somers, NY, USA).

Results

In total, 467 patients were included in this study. The overall male–female ratio was 2.6:1 with a mean age of 51.3 ± 20.5 years. (Table 1).

Table 1.

Study population and characteristics according to injury distribution

All Poly-trauma I (− TBI, −chest injury) Poly-trauma II (+ chest injury) Poly-trauma III (+ TBI) Poly-trauma IV (+ TBI, + chest injury) p value
No. of patients (%) 467 (100%) 70 (15.0%) 123 (26.4%) 196 (41.9%) 78 (16.7%)
Age (years) 51.3 ± 20.5 42 ± 20 49 ± 19 55 ± 21 52 ± 20 < 0.001*
Gender (male) 338 (72.4%) 54 (77.1%) 85 (69.1%) 132 (67.3%) 67 (85.9%) < 0.001*
AIShead 2.6 ± 1.9 0.5 ± 0.8 0.6 ± 0.9 4.2 ± 0.7 3.7 ± 0.8 < 0.001*
AISface 0.6 ± 1.0 0.4 ± 0.9 0.4 ± 0.8 0.7 ± 1.1 0.7 ± 1.1 0.020*
AISthorax 1.8 ± 1.6 0.9 ± 1.0 3.4 ± 0.7 0.4 ± 0.8 3.3 ± 0.6 < 0.001*
AISabdomen 0.7 ± 1.3 1.3 ± 1.6 1.3 ± 1.5 0.2 ± 0.7 0.7 ± 1.3 < 0.001*
AISextremities 1.5 ± 1.5 2.7 ± 1.5 2.1 ± 1.3 0.6 ± 1.1 1.7 ± 1.4 < 0.001*
AISexternal 0.4 ± 0.9 1.1 ± 1.6 0.4 ± 0.8 0.3 ± 0.6 0.3 ± 0.6 < 0.001*
NISS 28.6 ± 9.8 23.5 ± 10.8 27.5 ± 9.7 29.0 ± 8.4 33.9 ± 10.0 < 0.001*
Hospital stay (days) 25.6 ± 25.5 33.7 ± 40.3 25.9 ± 29.2 21.9 ± 14.2 24.9 ± 14.3 0.040*
ICU (days) 17.4 ± 29.5 16.5 ± 30.6 14.6 ± 28.0 18.8 ± 34.8 19.3 ± 15.4 0.704
Ventilation (h) 240.4 ± 448.3 225.6 ± 498.5 222.4 ± 596.0 234.6 ± 300.2 282.8 ± 334.7 0.878
Pneumonia 93 (19.9%) 7 (10%) 33 (26.8%) 29 (14.8%) 24 (30.8%) 0.001*
ARDS 34 (7.3%) 2 (3%) 10 (9%) 10 (6%) 12 (19%) 0.012*
MODS 82 (17.6%) 0 (0%) 54 (43.9%) 0 (0%) 28 (35.9%) < 0.001*
Mortality 118 (25.3%) 8 (11.4%) 18 (14.6%) 67 (34.2%) 25 (32.1%) < 0.001*

p value indicates the overall difference between groups

*Statistical significance, p < 0.05

Injury severity and severity of TBI and chest trauma

Overall injury severity was 28.6 ± 9.8 points according to the NISS. Looking specifically at the severely injured patients with or without chest and/or brain injury, we found that 70 patients (15.0%) had neither TBI nor chest trauma (poly-trauma I), 123 patients (26.4%) sustained severe chest trauma without TBI (poly-trauma II), 196 patients (41.9%) had severe TBI without chest trauma (poly-trauma III), and 78 patients (16.7%) sustained severe chest trauma and severe TBI (poly-trauma IV). The incidence of pneumonia was the highest in groups with chest trauma [poly-trauma II (26.8%) and poly-trauma IV (30.8%)] (Table 1).

Clinical course according to injury patterns and development of pneumonia

In the analysis of the clinical course, the duration of hospital stay for all patients was 25.6 ± 25.5 days, the stay on ICU was 17.4 ± 29.5 days and the duration of ventilation was 240.4 ± 448.3 h. The combination of TBI and chest injury (poly-trauma IV) was associated with an increased duration of both ICU treatment (r = 0.199, p < 0.001) and ventilation time (r = 0.171, p = 0.002). No correlation for these parameters was found for the other trauma groups (poly-trauma I–III).

Incidence of pneumonia and its association with other complications

Over the clinical course, 19.9% (n = 93) of all patients developed pneumonia, 17.6% (n = 82) developed MODS and 7.3% (n = 34) developed ARDS. There was a reciprocal correlation between these complications. The incidence of pneumonia was associated with the incidence of both ARDS (r = 0.555, p < 0.001) and MODS (r = 0.176, p < 0.001). The incidence of ARDS was correlated with the incidence of MODS (r = 0.108, p = 0.022).

Among all observed injury patterns, increasing severity of chest trauma according to the AISthorax showed a correlation with the development of all three in-hospital complications, i.e. pneumonia (r = 0.164, p < 0.001), ARDS (r = 0.113, p = 0.017) and MODS (r = 0.500, p < 0.001), but not with in-hospital mortality. The incidence of pneumonia increased independent of the type of chest injury (r = 0.176, p < 0.001). More specifically, a correlation between haemothorax (r = 0.093, p = 0.049), lung contusion (r = 0.142, p = 0.002) and rib fractures (r = 0.170, p < 0.001), and the development of pneumonia was observed. The patients who developed pneumonia had a significantly higher AISthorax (2.3 ± 1.5 vs. 1.6 ± 1.6, p = 0.001), longer hospital stay [33.8 ± 47.4 vs. 17.9 ± 20.8, p < 0.001 (days)], longer ICU treatment [25.9 ± 47.3 vs. 12.0 ± 24.5, p < 0.001 (days)] and a longer mechanical ventilation period [434.6 ± 692.6 vs. 173.8 ± 306.9, p < 0.001 (h)]. In-hospital mortality occurred in 118 patients (25.3%).

Independent predictors for developing pneumonia

Multivariate regression analysis of potential predictors of pneumonia showed that the duration of ventilation (OR 1.002, p < 0.001) was an independent predictor of pneumonia. Concomitant chest injury (AISthorax ≥ 3) in poly-traumatized patients was also an independent predictor of pneumonia with an OR of 4.193 (p = 0.004), but the strongest independent predictor of pneumonia in poly-traumatized patients was the combination of chest injury and TBI (AIShead ≥ 3) with an OR of 4.711 (p = 0.004) (Table 2).

Table 2.

Multivariate regression analysis referring to pneumonia analysing age, gender, NISS, duration of ventilation, chest trauma, and TBI as potential predictors

Predictor Regression coefficient Odds ratio (OR) 95% confidence interval (95% CI) p value
Age 0.001 1.001 0.989–1.014 0.871
Gender (male) 0.296 1.345 0.747–2.422 0.324
NISS − 0.006 0.994 0.968–1.021 0.642
Duration of ventilation (per hour) 0.002 1.002 1.001–1.002 < 0.001*
Poly-trauma II ( + chest injury) 1.433 4.193 1.568–11.211 0.004*
Poly-trauma III ( + TBI) 0.640 1.896 0.708–5.076 0.203
Poly-trauma IV ( + TBI, + chest injury) 1.550 4.711 1.644–13.499 0.004*
Constant − 2.802 < 0.001

Nagelkerke R2 0.149

*Statistical significance, p < 0.05

Predictive value of pneumonia and further parameters for the development of ARDS and MODS

The multivariate regression analysis did not show an independent predictive value of pneumonia for ARDS or MODS development. No other independent predictors for ARDS or MODS were found in this population of poly-traumatized patients.

Predictive value of pneumonia and further independent predictors for mortality

Multivariate regression analysis of potential predictors of mortality showed that pneumonia was the most powerful independent predictor of mortality with an odds ratio of 5.142 (p = 0.001). Chest trauma alone was not independently correlated with mortality. In contrast, TBI (OR 3.028, p = 0.010) and, particularly, the combination of TBI and chest trauma (OR 3.784, p = 0.008) were independent predictors for mortality (Table 3).

Table 3.

Multivariate regression analysis referring to mortality analysing age, chest trauma, TBI and in-hospital complications as potential predictors in poly-traumatized patients

Predictor Regression coefficient Odds ratio (OR) 95% confidence interval (95% CI) p value
Age 0.032 1.033 1.021–1.045 < 0.001*
Pneumonia 1.637 5.142 1.924–13.739 0.001*
ARDS 0.539 1.715 0.16417.919 0.652
MODS − 0.139 0.870 0.4051.870 0.722
Poly-trauma II (+ chest injury) 0.211 1.234 0.457–3.337 0.678
Poly-trauma III (+ TBI) 1.108 3.028 1.310–7.001 0.010*
Poly-trauma IV (+ TBI, + chest injury) 1.331 3.784 1.425–10.046 0.008*
Constant − 5.047 < 0.001

Nagelkerke R2 0.220

*Statistical significance, p < 0.05

Discussion

The outcome after severe trauma is well known to be significantly influenced by in-hospital complications (e.g. infections, organ failure) potentially occurring over the post-traumatic clinical course. These complications were found to be associated with age, gender and overall injury severity [2124]. Pneumonia is one of the most common complications in severely injured patients, and it is supposed to represent a predisposing factor for the development of ARDS and MODS. In this context, the studies of Vécsei [13] and Grubmüller [25] showed that chest trauma in poly-traumatized patients increased the complication rate (e.g. development of pneumonia, MODS, ARDS and sepsis) and consequently influenced the outcome. However, Chrysou et al. demonstrated that the severity of the chest trauma did not correlate with these complications [26]. Neither of these studies showed chest trauma to have an influence on mortality [26, 25, 13]. For TBI, several studies could show both a predictive value for the development of complications (e.g. pneumonia, ARDS, cardiac dysfunction, thromboembolic events, sepsis) and a significant impact on mortality [27, 14], but only one of these studies [5] addressed the combination of TBI and chest trauma as a risk factor.

Yet, the importance of TBI and chest trauma as the most common injuries in poly-traumatized patients and particularly of their combination as independent predictors for the development of pneumonia is not fully clarified. Further, it remains unclear whether the injury pattern itself or the development of pneumonia represents the most relevant risk factor for adverse outcomes (ARDS, MODS, mortality). Therefore, it is important to further elucidate these associations to enhance therapy strategies for severely injured patients [14].

The main results of the present study of severely injured patients can be summarized as follows:

  • Pneumonia represents a common complication in poly-traumatized patients.

  • The duration of ventilation, chest injury and the combination of chest and traumatic brain injury are independent predictors for the development of pneumonia in poly-traumatized patients.

  • Pneumonia is the most powerful independent predictor of in-hospital mortality in poly-traumatized patients.

  • Both TBI and the combination of TBI and chest trauma are independent predictors for in-hospital mortality in poly-traumatized patients.

Impact of injury pattern on development of pneumonia

Focusing on the different injury patterns, our finding that concomitant chest injury represents the second strongest independent predictor of pneumonia after severe trauma fully supports the results of previous studies. Grubmüller et al. found a clear correlation between severe chest injury (AISthorax ≥ 3) and pneumonia in poly-traumatized patients compared to patients with mild chest injury (AISthorax < 3) [25].

After subdividing the different chest injuries in all poly-trauma patients, we see more specifically that haemothorax, lung contusion and costal fractures are correlating with pneumonia, which has been described in the literature before [28, 29, 11, 30]. Haenel et al. [29] showed that the combination of flail chest and pulmonary contusion increased the risk of pneumonia. Mangram et al. also demonstrated that patients with rib fractures or pulmonary contusions had a more than three times greater risk of developing pneumonia than patients without these particular injuries [11]. Park et al. also showed that severe pulmonary contusion was an independent risk factor for VAP in ventilated trauma patients with multiple rib fractures [30].

In the present study, we were not able to identify TBI as an independent predictor of pneumonia. This is in contrast to other studies that described a TBI-related higher prevalence of hospital-acquired pneumonia, particularly in severely injured patients [31, 11]. However, in the study by Mangram et al., the vast majority of the evaluated patients (77.7%) underwent a failed pre-hospital intubation, which is a predisposing factor for the development of pneumonia [11]. In the study by Cook et al., the correlation between TBI and post-traumatic complications was based on the Glasgow Coma Scale (GCS) and not on the AIShead as in our study [31]. The GCS in trauma patients often depends on the time of evaluation and can also change during the hospital stay in patients with severe traumatic brain injury, which might explain the different findings of our study and Cook’s. Further, Hui et al. described how patients sustaining a TBI often require mechanical ventilation, and they demonstrated that this mechanical ventilation increases the risk of pneumonia in these patients, not the TBI itself [32]. This corresponds with our findings.

On the other hand, the present study shows that the combination of TBI and chest injury in poly-traumatized patients is the strongest independent predictor of pneumonia, implying that both severe TBI and severe chest injury influence the development of pneumonia. This result is supported by a study by Jovanovic et al. in which the combination of TBI and chest trauma increased the risk of the development of pneumonia [5]. Based on both the aforementioned relevance of the different injury patterns and the slightly enhanced risk profile of group poly-trauma IV (TBI + chest trauma) compared to group poly-trauma II (chest trauma) in our study, it is likely that chest trauma per se increases the risk of pneumonia; whereas, TBI exerts its effects mainly via a prolongation of mechanical ventilation.

Independent of the injury pattern, the duration of mechanical ventilation was significantly correlated with the development of pneumonia in our study. This is in line with the findings of Walaszek et al., who identified mechanical ventilation longer than 20 days as a major determinant for the development of VAP [33]. Hui et al. demonstrated in their study that each additional day of mechanical ventilation increased the risk of pneumonia by 7% [32]. Further, another study found that mechanical ventilation was the most powerful risk factor for in-hospital infectious complications of ICU patients after trauma, such as pneumonia, urinary tract infection and ARDS [27]. The most likely reason for the high incidence of pneumonia in the trauma population is that the artificial airway, which is often required for a prolonged ( > 48 h) period in these patients [34, 35], obliterates the natural host defences against the tracheal colonization, besides an immunity suppression induced by the injury [5, 11].

Impact of injury pattern and pneumonia on in-hospital mortality

Focusing on in-hospital mortality, we identified pneumonia as the strongest independent predictor of mortality. The results of previous studies on the impact of post-traumatic pneumonia on mortality are divergent. In this context, some authors found that pneumonia substantially contributes to mortality rates [36, 29, 33], whereas others did not [37, 38]. Zygun et al. [38] focused on the relevance of TBI in patients with isolated head trauma and in poly-trauma patients and found no influence of pneumonia on mortality. As we found chest injuries to be more relevant for the development of post-traumatic pneumonia, the focus on TBI in the study by Zygun et al. might result in these different findings. Rello et al. [37] described a relatively low pneumonia-related mortality rate (3.1%) in a rather small cohort of severely injured patients (n = 161). As other studies with a significantly higher number of included patients (e.g. n = 1227 [33]) also described a relevant effect of pneumonia on mortality, the size of the study population might represent an issue. Moreover, the study by Rello was performed 25 years ago, and it might be assumed that options for other potentially lethal complications (e.g. sepsis, TBI) were not as good as today, thereby resulting in a lower pneumonia-related mortality rate.

TBI alone is also an independent predictor of in-hospital mortality in poly-traumatized patients. The study by Yucel et al., who found an even greater odds ratio for TBI as a risk factor for mortality, strongly supports our results [39]. This result is not unexpected, as even isolated TBI is considered one of the most lethal traumatic injuries, as illustrated by the study by Para et al. [40]. Combined with a chest injury, TBI is an even stronger independent predictor of in-hospital mortality, although chest injury by itself is not an independent predictor in our study. To our opinion, this shows that TBI and chest injury are synergistic in their effect on in-hospital mortality. Our finding that severe chest injury is correlated with in-hospital complication rates in poly-traumatized patients, but has no influence on mortality rate, is supported by the results of the study of Grubmüller et al. [25]. In opposition, Chen et al. showed that patients with a higher chest trauma score had a greater prevalence of mortality [28], but this chest trauma score also included factors other than chest injuries (e.g. age). Therefore, this scoring system does not allow a conclusion to be drawn on the relevance of chest trauma as an independent factor for mortality.

Impact of injury pattern and pneumonia on the clinical course

The duration of the post-traumatic ICU stay has been found to significantly influence the clinical course and outcome, even years after the initial trauma [38, 37, 4145]. Our finding that severe TBI is associated with an increased duration of both ICU treatment and mechanical ventilation in severely injured patients is supported by the literature. In this context, different studies, as well as the present study, have demonstrated that severe TBI usually is associated with prolonged recovery periods, prolonged stays on the ICU and longer durations of mechanical ventilation [46]. This has been explained by the fact that TBI is usually associated with injuries of other body regions and emergency surgical interventions, aggravating the patient’s condition and prolonging their recovery [2, 47].

The results from previous studies on the effects of chest trauma on the clinical course are conflicting. Chrysou et al. [26] found that the severity of chest trauma was not associated with the length of the ICU stay, intubation days and complications, whereas others [48] found a correlation. Although we also did not find a significant effect of chest trauma on the clinical course, it seems worth noting that an additional prolongation of ICU treatment and mechanical ventilation in patients with combined TBI and chest trauma was observed in our study. This underlines the relevance of chest trauma for the post-traumatic course after severe trauma.

Strengths and limitations

The present study should be interpreted with its potential strengths and limitations. Focusing on the strengths, we did not lose patients in the follow-up period, as only in-hospital complications were assessed. In addition, the single-centre character might represent an advantage of this study as it excludes bias due to differences in treatment strategies in diverse hospitals. In contrast, this study is limited due to its retrospective design. Further, with 467 patients, the statistical results might be compromised compared to nationwide databases. Finally, the pathophysiology of in-hospital complications (e.g. MODS and ARDS) is multifactorial. However, the presented regression analyses in our study can only represent a statistical model focused on a limited number of included parameter. Diverse parameter that was not included in this study might also have a considerable impact on in-hospital complications.

Conclusion

In the present study, the most important finding is that pneumonia is the strongest independent predictor of in-hospital mortality, followed by the combination of TBI and chest injury and TBI alone. Although chest injury is not an independent predictor of mortality, it is an independent predictor of pneumonia and thereby may have an indirect influence on in-hospital mortality. The combination of chest injury and TBI is also an independent predictor of pneumonia. Chest trauma seems to represent a direct risk factor, whereas TBI acts as an indirect risk factor via a prolonged duration of ventilation, which is by itself an independent predictor of pneumonia in poly-traumatized patients. Based on our results, the development of strategies to prevent pneumonia and a prolonged ventilation period in severely injured patients should be prioritized in the clinical setting.

Abbreviations

AIS

Abbreviated injury scale

ARDS

Acute respiratory distress syndrome

ATLS®

Advanced Trauma Life Support®

GCS

Glasgow Coma Scale

ICU

Intensive care unit

MODS

Multi-organ dysfunction syndrome

NISS

New injury severity score

OR

Odds ratio

paO2/FiO2

Partial pressure of oxygen/fraction of inspired oxygen

SD

Standard deviation

SIRS

Systemic inflammatory response syndrome

SOFA

Sequential organ failure assessment

SPSS

Statistical package for the social sciences

TBI

Traumatic brain injury

VAP

Ventilator-associated pneumonia

Author contributions

MH designed the study, obtained the data and wrote the manuscript; HA performed the statistical analysis of the data; PK designed the study; and FH and MP reviewed the manuscript. All authors read and approved the final manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

All data in this study were obtained in accordance with the ethical standards of both institutional and/or national research committees and with the guidelines of the revised United Nations declaration of Helsinki in 1975 and its latest revision in 2013 (seventh revision) or comparable ethical standards.

Footnotes

Martijn Poeze and Frank Hildebrand jointly supervised this work.

Contributor Information

Martijn Hofman, Email: mhofman@ukaachen.de.

Hagen Andruszkow, Email: handruszkow@ukaachen.de.

Philipp Kobbe, Email: pkobbe@ukaachen.de.

Martijn Poeze, Email: m.poeze@mumc.nl.

Frank Hildebrand, Email: fhildebrand@ukaachen.de.

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