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Outcomes in patients with gunshot wounds to the brain
  1. Leigh Anna Robinson1,
  2. Lauren M Turco2,
  3. Bryce Robinson3,
  4. Joshua G Corsa3,
  5. Michael Mount4,
  6. Amy V Hamrick4,
  7. John Berne5,
  8. Dalier R Mederos5,
  9. Allison G McNickle6,
  10. Paul J Chestovich6,
  11. Jason Weinberger7,
  12. Areg Grigorian8,
  13. Jeffry Nahmias8,
  14. Jane K Lee9,
  15. Kevin L Chow9,
  16. Erik J Olson10,
  17. Jose L Pascual10,
  18. Rachele Solomon11,
  19. Danielle A Pigneri11,
  20. Husayn A Ladhani12,
  21. Joanne Fraifogl12,
  22. Jeffrey Claridge12,
  23. Terry Curry13,
  24. Todd W Costantini13,
  25. Manasnun Kongwibulwut14,
  26. Haytham Kaafarani14,
  27. Janika San Roman15,
  28. Craig Schreiber15,
  29. Anna Goldenberg-Sandau15,
  30. Parker Hu16,
  31. Patrick Bosarge16,
  32. Rindi Uhlich16,
  33. Nicole Lunardi17,
  34. Farooq Usmani17,
  35. Joseph Victor Sakran17,
  36. Jessica M Babcock18,
  37. Juan Carlos Quispe18,
  38. Lawrence Lottenberg19,
  39. Donna Cabral19,
  40. Grace Chang20,
  41. Jhoanna Gulmatico20,
  42. Jonathan J Parks21,
  43. Rishi Rattan21,
  44. Jennifer Massetti22,
  45. Onaona Gurney22,
  46. Brandon Bruns22,
  47. Alison A Smith23,
  48. Chrissy Guidry23,
  49. Matthew E Kutcher24,
  50. Melissa S Logan24,
  51. Michelle Y Kincaid25,
  52. Chance Spalding25,
  53. Matthew Noorbaksh26,
  54. Frances H Philp26,
  55. Benjamin Cragun26,
  56. Robert D Winfield1
  1. 1 Department of Surgery, University of Kansas Medical Center, Kansas City, Kansas, USA
  2. 2 Emergency Medicine, Spectrum Health Butterworth Hospital, Grand Rapids, Michigan, USA
  3. 3 Department of Surgery, Harborview Medical Center, Seattle, Washington, USA
  4. 4 Division of Surgery, Spartanburg Regional Healthcare System, Spartanburg, South Carolina, USA
  5. 5 Division of Trauma and Critical Care, Broward Health, Fort Lauderdale, Florida, USA
  6. 6 Department of Surgery, UNLV School of Medicine, Las Vegas, Nevada, USA
  7. 7 Christiana Care Health System, Wilmington, Delaware, USA
  8. 8 Department of Surgery, University of California Irvine School of Medicine, Irvine, California, USA
  9. 9 Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, USA
  10. 10 Department of Surgery, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
  11. 11 Memorial Regional Hospital, Hollywood, Florida, USA
  12. 12 Department of Surgery, Case Western Reserve University Hospital, Cleveland, Ohio, USA
  13. 13 Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, UC San Diego Health, San Diego, California, USA
  14. 14 Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
  15. 15 Division of Trauma, Surgical Critical Care & Acute Care Surgery, Cooper University Hospital, Camden, New Jersey, USA
  16. 16 Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
  17. 17 Department of Surgery, The Johns Hopkins University, Baltimore, Maryland, USA
  18. 18 Department of Surgery, Loma Linda University, Loma Linda, California, USA
  19. 19 St. Mary's Medical Center, Boca Raton, Florida, USA
  20. 20 Department of Surgery, Mount Sinai Hospital, Chicago, Illinois, USA
  21. 21 Department of Surgery, University of Miami School of Medicine, Miami, Florida, USA
  22. 22 Department of Surgery, University of Maryland Medical System, Baltimore, Maryland, USA
  23. 23 Department of Surgery, Tulane Medical Center, New Orleans, Louisiana, USA
  24. 24 Department of Surgery, University of Mississippi, University Park, Mississippi, USA
  25. 25 Trauma and Acute Care Surgery, Grant Medical Center, Columbus, Ohio, USA
  26. 26 Allegheny General Hospital, Pittsburgh, Pennsylvania, USA
  1. Correspondence to Dr Lauren M Turco, Emergency Medicine, Spectrum Health Butterworth Hospital, Grand Rapids, MI 49503, USA; turco.lauren{at}gmail.com

Abstract

Introduction Gunshot wounds to the brain (GSWB) confer high lethality and uncertain recovery. It is unclear which patients benefit from aggressive resuscitation, and furthermore whether patients with GSWB undergoing cardiopulmonary resuscitation (CPR) have potential for survival or organ donation. Therefore, we sought to determine the rates of survival and organ donation, as well as identify factors associated with both outcomes in patients with GSWB undergoing CPR.

Methods We performed a retrospective, multicenter study at 25 US trauma centers including dates between June 1, 2011 and December 31, 2017. Patients were included if they suffered isolated GSWB and required CPR at a referring hospital, in the field, or in the trauma resuscitation room. Patients were excluded for significant torso or extremity injuries, or if pregnant. Binomial regression models were used to determine predictors of survival/organ donation.

Results 825 patients met study criteria; the majority were male (87.6%) with a mean age of 36.5 years. Most (67%) underwent CPR in the field and 2.1% (n=17) survived to discharge. Of the non-survivors, 17.5% (n=141) were considered eligible donors, with a donation rate of 58.9% (n=83) in this group. Regression models found several predictors of survival. Hormone replacement was predictive of both survival and organ donation.

Conclusion We found that GSWB requiring CPR during trauma resuscitation was associated with a 2.1% survival rate and overall organ donation rate of 10.3%. Several factors appear to be favorably associated with survival, although predictions are uncertain due to the low number of survivors in this patient population. Hormone replacement was predictive of both survival and organ donation. These results are a starting point for determining appropriate treatment algorithms for this devastating clinical condition.

Level of evidence Level II.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Background

In the USA, there are approximately 70 000 victims of gunshot wounds resulting in an estimated 30 000 deaths per year.1 Gunshot wounds to the brain (GSWB) are a subset of these injuries that carry high lethality and uncertain recovery; however, aggressive resuscitation has been associated with increased survival and organ donation.2 During the last several years, GSWB have gained national and international interest after US Congresswoman Gabrielle Gifford sustained a gunshot wound to her brain in an attempted assassination in 2011. She received aggressive management and ultimately recovered well. Cases such as hers reinforce the need for evidence-based algorithms for the management of these injuries.3

Multiple studies have analyzed different predictive factors for prognosis of patients with GSWB. Until recently, patients with a Glasgow Coma Scale (GCS) score of 3–5 or bihemispheric head injuries did not always receive aggressive resuscitation due to the high mortality rate of the injury.4–6 More recently, though, Joseph and colleagues conducted a retrospective analysis which showed that aggressive resuscitation—specifically hemostatic resuscitation with blood components and hyperosmolar therapy—was associated with increased survival and organ donation regardless of GCS at presentation.2

Determining which patients would benefit from aggressive resuscitation is necessary to refine management and improve resource utilization. An immediate question is whether patients with GSWB undergoing cardiopulmonary resuscitation (CPR) during trauma resuscitation either recover or become donors, as this has not been specifically addressed in prior investigations on this topic. To inform future work in this area, we sought to determine the rates of survival and organ donation, as well as identify factors associated with both outcomes in patients with GSWB undergoing CPR.

Methods

Study population

We identified patients through a retrospective, multicenter study at 25 US level I and level II trauma centers between June 1, 2011 and December 31, 2017. Patients who suffered GSWB and required CPR at the referring hospital, in the field, or at the trauma center were included. Exclusion criteria were significant torso or extremity injuries (Abbreviated Injury Scale (AIS) score greater than 2 for thorax, abdomen, spine, upper or lower extremities, or unspecified) or current pregnancy. Data were collected for a total of 825 patients meeting these criteria. All data were collected from the participating level I and level II trauma centers. Data from referring facilities and prehospital were not collected.

Outcomes

The primary outcome was survival rate, defined as the number of patients surviving hospitalization among the total number of patients meeting study criteria. Secondary outcomes included rate of successful donation of any organ, predictors of organ donation, predictors of survival, overall cost of treatment, cost of survival, and cost of organ donation.

Statistical analysis

Depending on distribution of the data, continuous variables are presented as mean±SD or median with IQR. Categorical variables are presented as frequencies and percent. A binomial logistic regression was considered to determine predictors of survival. Due to the very low frequency of survival (17 survivors vs. 808 non-survivors), a multiple logistic regression model was not possible. Thus, an exploratory complete case analysis was undertaken to examine bivariate relationships between survival and several predictors. Predictors were selected on the basis of significant correlation with survival using χ2 contingency tables (for categorical predictors) or Kruskal-Wallis one-way analysis of variance test (for continuous predictors). Each predictor was individually fitted to a binomial regression model using maximum likelihood estimators.

For the subset of 808 non-survivors, binomial logistic regression was again considered to determine predictors of organ donation. Model selection was performed with the ‘regsubset’ function in R using an exhaustive search approach. Using selection criteria (adjusted R2, Mallow’s Cp, and Bayesian information criterion), a three-predictor model was fitted for 627 subjects with complete data. Results are reported in terms of ORs. Statistical significance for all analyses was predetermined at p≤0.05, which is reported alongside 95% CIs. All analyses were conducted with R V.3.5.1 (2018-07-02).

Results

A total of 825 patients from 25 trauma centers with isolated GSWB met study criteria (table 1). The majority were male (87.6%) with a mean age of 36.5 years. Most (67%) underwent CPR in the field. There was no significant difference in mortality by location of CPR (98.7% in the field vs. 98.2% in-hospital). Only 2.1% (n=17) survived to discharge; 47% went to rehabilitation, 27% home, 20% skilled nursing facilities, and 13% long-term acute care. Of the patients who did not survive, 17.5% (n=141) were considered eligible donors by the local organ procurement organization, with a donation rate of 58.9% (n=83) in this group and an overall donation rate of 10.3% among non-survivors. Survivors had lower Injury Severity Score (ISS) (international normalized ratio (INR) 22.2 vs. 37.4, p=0.003) (table 2). Data on resuscitative interventions, neurosurgical interventions, and base deficit were collected; however, due to a large amount of missing data, these measures were not found to significantly impact results.

Table 1

Patients contributed by participating institutions

Table 2

Patient demographics

Several individual binomial regression models identified factors associated with survival (table 3). Fifty-five patients required transfer to a level I or level II trauma center but did not have significantly different characteristics in terms of age, ISS, and AIS head. However, transfer patients were more likely to survive (p=0.0001). Non-surviving transfer patients were more likely to become organ donors than those who were not transferred (25% vs. 9.8%). Survivors also received more units of packed red blood cells (RBC; mean 4.8 units vs. 1.6 units, p=0.0007), plasma (2.3 units vs. 0.8 units, p=0.009), platelets (0.87 units vs. 0.16 units, p=0.01), and larger volumes of crystalloid (6.7 L vs. 2.4 L, p=0.002).

Table 3

Predictors of survival to hospital discharge

Overall, the frequency of organ donation was low (83 donors vs. 693 non-donors). The mean age for donors was significantly less than non-donors (32.5 years vs. 37.1 years, p=0.007). As expected, donors presented with higher systolic blood pressure (86.7 mm Hg vs. 41.8 mm Hg, p<0.001) and heart rate (85.7 bpm vs. 42.9 bpm, p<0.001). Donors also received significantly more units of packed RBCs (4.2 units vs. 1.3 units, p<0.0001), platelets (0.63 units vs. 0.11 units, p<0.0001), and larger volumes of crystalloid (4.9 L vs. 2.2 L, p<0.0001). ISS and AIS head were not statistically different between donors and non-donors. Independent predictors of organ donation were crystalloid volume and replacement of one or more hormones (methylprednisolone, vasopressin, insulin, or levothyroxine/triiodothyronine) (table 4).

Table 4

Predictors of successful organ donation

Specifically, each additional 1 L of crystalloid resulted in 15.4% increased odds of organ donation (95% CI 5.98 to 26.5, p=0). However, it is important to note that this association is likely, in part, due to fluid imbalance secondary to brain death and subsequent homeostatic derangements. Replacement of at least one hormone was associated with over 10-fold increased odds of organ donation (OR 10.03, 95% CI 5.19 to 20.13, p=0).

Due to positively skewed data, costs (in US$) are reported in geometric averages to mitigate the effect of exceptionally large values.7 The total cost for all patients with reported data (n=488) was $22.7 million dollars. The geometric average cost of treatment per patient was $24 176. Cost of survival was reported for 8 of the 17 survivors and totaled $1.7 million. The geometric average cost of treatment per survivor was $188 480. In contrast, treatment of non-survivors totaled $21 million with a geometric average of $23 363 per non-survivor (for n=480 non-survivors). Cost of organ donation was $5.6 million overall with a geometric average of $56 870 per organ donor (for n=56 donors). The organ procurement organization—not the trauma center—assumes all costs related to donation.

Discussion

GSWB have high rates of mortality and morbidity. Our current understanding of these lethal injuries is primarily extrapolated from lessons learnt through military experiences, which tend to report improved outcomes with more aggressive management.8 Prospective civilian studies are sparse and often contain lower levels of evidence. Thus, there is no standard approach to treating these injuries in the published literature. In effort to address this deficit, our current effort was to identify specific factors associated with patient outcome—namely survival or organ donation. In this study, we report several resuscitative practices that are associated with survival to hospital discharge or organ donation in patients with GSWB who subsequently underwent CPR (tables 3 and 4).

An interesting parallel between our study and others with similar patient populations is the effect—or lack thereof—of age, race, and intent on outcome. Our study population had large disparities between these groups; assault was more common among black patients (235 black vs. 64 white) whereas suicides were more frequent in white patients (212 white vs. 42 black). Additionally, black patients in our study were significantly younger (mean 29.8 years vs. 45.0 years in white patients). Despite these differences, neither age, race, nor intent was predictive of survival. Similarly, Crutcher et al 9 reported disparities in injury intent between races, but intent and race were not predictive of survival in this study either.

With regard to specific factors associated with survival, various items have been previously identified. In a 2016 study, Jesin et al 10 concluded that mortality was related to increasing ISS and age. Lee et al 11 found GCS, AIS head, and age to be associated with survival in isolated head trauma but did not focus on penetrating injuries. In contrast, the strongest factors associated with outcome in our study were signs of life (SOL) on arrival, receipt of tranexamic acid (TXA), and transfer to a higher level trauma center. Patients who arrived at a trauma center with SOL were 8.3 times more likely to survive. We could not find any other published literature that documented SOL as a statistically significant predictor of outcome for this specific injury.

We found that receipt of TXA had a significant effect on survival (OR 7.90, p=0.0001). A meta-analysis12 of the two largest randomized controlled trials13 14 on TXA in traumatic brain injury (TBI) found a significant reduction in intracranial hemorrhage expansion (relative risk (RR)=0.72) and mortality (RR=0.63) when TXA had been given. Yet unpublished, the results of the Clinical Randomization of an Antifibrinolytic in Significant Head Injury-3 trial, an international multicenter randomized trial studying the effects of TXA in TBI, are expected to provide novel and clinically significant information. Our third strongest predictor of survival, transfer to a trauma center, has been associated with lower risk of death in prior studies.15 16 In this study, patients transferred to trauma centers were 6.6 times more likely to survive. Similarly, Sugerman et al 17 reported an improved survival rate when patients with severe TBI were transferred to a trauma center.

As discussed above, a wide range of survival-associated factors have been identified—both in our study and previous reports. Without significant overlap of results, the interpretation of data and application of specific management is challenging. Muehlschlegel et al 18 have attempted to combine several predictors into the Surviving Penetrating Injury to the Brain (SPIN) score, a logistic regression-based clinical risk stratification scale estimating survival after penetrating TBI. Components of the SPIN score include motor GCS, pupillary examination, whether the injury was self-inflicted, transfer status, gender, ISS, and INR. Although the SPIN score does not address CPR, it does include transfer and ISS, which were both significant predictors in our study. Further identification of similar threads across studies may reveal that certain predictors are more consistent and significant than others.

A particularly noteworthy area is hormone replacement therapy. In our study, patients who received at least one hormone (methylprednisolone, insulin, vasopressin, and/or thyroid hormone) during the initial resuscitation had significantly improved survival or greater rates of successful organ donation. However, the overall donation rate was very low at 10.3% of non-survivors. This is lower than other reported rates in the literature, which range from 26.1% to 34.7% in patients with GSWB.19 20 This is likely because our study focused on patients in extremis at the time of presentation, and thus, the least likely to be salvageable. The findings of this study and numerous other retrospective reports2 21–24 on the benefits of hormone replacement therapy have provided the basis for a future prospective, randomized trial.

Limitations

The primary limitation of our study is its retrospective design and reliance on a registry for data collection. This registry is subject to errors, incompleteness, and interhospital differences in reporting practices. This multi-institutional study included several level 1 trauma centers that tend to see a disproportionate number of high-acuity injuries. As such, the patient sample is not necessarily representative of all US trauma centers.

Additionally, institutional differences and physician-specific biases may have contributed to different approaches to resuscitation. A particularly important example is the differences in hormone replacement usage. Although we did not specify the timing of administration, some institutions/physicians have begun using hormones as part of the initial resuscitation in the trauma bay whereas others use these therapies only in patients who have either impending or declared brain death. Thus, the use and timing of hormone replacement is a critical area for future study in these patients.

Another limitation of this study—and others like it—is the uncertainty in making statistically significant associations. As evidenced above, there is a wide range of reported factors associated with outcome that differs between studies. One reason for this observation is the low frequency of survival in GSWB, which renders the inferences drawn from these populations extremely uncertain. With mortality of GSWB approaching 98.0%, survival is considered a ‘rare event’. Statistically speaking, ‘[t]he cost of numerically calculating probabilities of rare events rapidly becomes prohibitive as the event of interest becomes rare.’25 In this study, the low survival rate precluded us from controlling for covariates when identifying factors associated with survival. Additionally, it is also important to note that these factors are subject to survival bias (eg, survivors may have received more fluid and blood product resuscitation because they lived (longer)).

Conclusion

Survival after GSWB involving cardiopulmonary arrest is rare; however, this multi-institutional study of patients with GSWB who received CPR identified several factors associated with outcome. These data represent a starting point to determine appropriate treatment algorithms that maximize survival and organ donation and minimize wastage of scarce and expensive resources. Our findings suggest that patients with GSWB and subsequent CPR should be transferred to a trauma center when clinically feasible. Outcomes (both survival and organ donation) may be favorably impacted when trauma resuscitation includes hormone replacement, TXA, and blood transfusions. Although the survival rate for this injury is dismal, 10% of patients became organ donors with the potential of saving numerous lives. Many gaps in our understanding of this complex clinical problem remain and further prospective studies are necessary to develop standard practice for the management of patients with GSWB.

Acknowledgments

We sincerely thank the University of Kansas AR Dykes Library for their assistance in obtaining primary literature references.

References

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Footnotes

  • Presented at This research will be presented as a Quickshot at the 32nd Annual Scientific Assembly of the Eastern Association for the Surgery of Trauma on January 18, 2019 in Austin, Texas.

  • Contributors LAR and RDW were involved in study design. LAR, RDW, and LMT wrote the original content. All authors contributed to critical review and major revisions.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement No data are available.

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