Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Jan 1.
Published in final edited form as: J Surg Res. 2023 Sep 14;293:57–63. doi: 10.1016/j.jss.2023.06.042

Patient Reported Outcomes Following Severe Abdominal Trauma: A Secondary Analysis of the DCL Trial

Shah-Jahan M Dodwad a,b,*, Kayla D Isbell a,b,*, Krislynn M Mueck a,b,e, James M Klugh a,b, David E Meyer a,b,e, Charles E Wade a,b,c,e, Lillian S Kao a,b,c,d,e, John A Harvin a,b,c,d,e
PMCID: PMC10841256  NIHMSID: NIHMS1931921  PMID: 37716101

Abstract

Objective:

Little is known about patient-reported outcomes (PROs) following abdominal trauma. We hypothesized that patients undergoing definitive laparotomy (DEF) would have better PROs compared to those treated with damage control laparotomy (DCL).

Materials and Methods:

The DCL Trial randomized DEF versus DCL in abdominal trauma. PROs were measured using the European Quality of Life-5 Dimensions-5 Levels (EQ-5D) questionnaire at discharge and 6 months post-discharge (1 = perfect health, 0 = death, and < 0 = worse than death) and Posttraumatic Stress Disorder (PTSD) Checklist-Civilian. Unadjusted Bayesian analysis with a neutral prior was used to assess the posterior probability of achieving minimal clinically important difference (MCID).

Results:

Of 39 randomized patients (21 DEF vs 18 DCL), 8 patients died (7 DEF vs 1 DCL). Of those who survived, 28 completed the EQ-5D at discharge (12 DEF vs 16 DCL) and 25 at 6 months (12 DEF vs 13 DCL). Most patients were male (79%) with a median age of 30 (IQR 21–42), suffered blunt injury (56%), and were severely injured (median injury severity score 33, IQR 21 – 42). Median EQ-5D value at discharge was 0.20 (IQR 0.06 – 0.52) DEF vs. 0.31 (IQR −0.03 - 0.43) DCL, and at 6 months 0.51 (IQR 0.30 – 0.74) DEF vs. 0.50 (IQR 0.28 – 0.84) DCL. The posterior probability of MCID DEF vs DCL at discharge and 6 months, was 16% and 23%, respectively.

Conclusions:

Functional deficits for trauma patients persist beyond the acute setting regardless of laparotomy status. These deficits warrant longitudinal studies to better inform patients on recovery expectations.

Keywords: Patient Reported Outcomes, Trauma Laparotomy, Damage Control Laparotomy, Quality of Life, Abdominal Trauma

Introduction

In trauma surgery, damage control laparotomy (DCL) was introduced as a temporizing technique to salvage severely injured patients and to mitigate the sequalae of the “trauma triad” – coagulopathy, hypothermia, and acidosis.16 This is in contrast to definitive laparotomy (DEF) where all injuries are repaired and the abdomen is closed at the index surgery.7 DCL utilizes three stages to provide definitive care to patients – 1) emergency laparotomy to control contamination and hemorrhage with temporary abdominal closure, 2) transfer to the intensive care unit for correction of the trauma triad, and 3) reoperation for definitive repair of injuries and abdominal closure.1,8,9 Published comparative studies of DCL in trauma are limited both in quantity and quality secondary to inherent limitations from observational studies.7,10,11 Furthermore, measured outcomes largely focus on mortality and morbidity (failure of abdominal wall closure, ventral hernias, enterocutaneous fistula, etc.) while little is known about the long term sequalae of disability and diminished quality of life following abdominal injury.1217

Data on patient reported outcomes (PROs) are rare.1,18 PROs improve surgical care by representing the perception and views of patients without interpretation by investigators, aiding surgeons in providing patient-centered care.12,1924 While the number of PROs published in trauma has increased over the last 3 decades, it has not kept pace with PRO studies in general populations.12 Furthermore, it is unclear which instrument is optimal to measure trauma-related PROs.12,25

Our index study was a randomized controlled trial comparing DEF versus DCL among trauma patients with relative indications for damage control.26 The goals of this analysis were to evaluate post-discharge PROs in a severely injured cohort of trauma laparotomy patients and to identify differences in PROs after DEF versus DCL. We hypothesized that patients undergoing DEF would have better PROs than patients undergoing DCL.

Methods

The research protocol for the DCL Trial was approved by the Institutional Review Board (HSC-GEN-16–0104) and registered with clinicaltrials.gov (identifier NCT02706041).27 The protocol and the outcomes of the DCL Trial have been previously published.26,27 Briefly, this was a single-center randomized controlled trial to compare the effect of DEF versus DCL in trauma patients ≥ 16 undergoing emergent laparotomy. Indications for DCL for enrollment in the trial included: planned second laparotomy for evaluation of ischemia or contamination, need to expedite transport to computed tomography or to the intensive care unit, and isolated metabolic acidosis in the absence of ongoing transfusions or hypotension. Patients for whom there was an absolute indication for DCL such as need for gauze packing for liver or retroperitoneum hemorrhage, need for interventional radiology for hemorrhage control, abdominal compartment syndrome prophylaxis, hemodynamic instability, or those wearing an opt-out bracelet, were excluded. Other specific inclusion and exclusion criteria have been described in detail in the published protocol.26 Enrolled patients were randomized to either DEF or DCL. The trial enrolled patients from June 2016 to May 2019.

PROs were measured using the previously validated European Quality of Life-5 Dimensions-5 Levels (EQ-5D) questionnaire and the Posttraumatic Stress Disorder (PTSD) Checklist-Civilian (PCL-C) which were administered at discharge and 6 months post-discharge.28,29 The 6-month post-discharge interview was conducted via telephone. Although not specific for trauma, the EQ-5D questionnaire is popular tool to study PROs across different surgical subspecialties.

The EQ-5D survey uses individual patient responses to each question (levels); these responses were compiled into states and converted to value scores according to the United States valuation scale.30 The five dimensions in the EQ-5D survey are mobility, self-care, usual activities, pain and discomfort, and anxiety and depression. The five levels used in the EQ-5D survey are no problems, slight problems, moderate problems, severe problems, and extreme problems. A value score of 1 indicates perfect health, a value score of 0 represents death, and a value score < 0 represents an outcome perceived to be worse than death. Patients who died prior to discharge were assigned a value of zero. The estimated minimally clinically important difference (MCID) was set as 0.05.31 Unadjusted Bayesian analysis with a neutral prior was performed to assess the posterior probability of achieving the MCID.

It is well established that patients requiring intensive care, especially as a result of a traumatic event, frequently experience symptoms of (PTSD).3234 It is unclear if leaving an abdomen open, as in DCL, would add to the traumatic experience. To assess the differences in PTSD severity between groups, the PCL-C, a measure to assess PTSD severity, was administered at hospital discharge and at 6 months.28,35 A PCL-C score of 17–27 indicates little/no severity, 28–29 some PTSD symptoms, 30–44 moderate to moderately high severity PTSD, and a score of 45–85 a high severity of PTSD.

An intention-to-treat analysis was performed. Due to small sample size and limitations of frequentist analyses, an unadjusted Bayesian analysis with a neutral prior was performed to assess the posterior probability of achieving the MCID between groups for EQ-5D.3639 All analyses were performed in R version 4.1.2 (R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria)

Results

Of the 39 patients who consented to outcome data analysis, 21 underwent DEF and 18 underwent DCL. There were no clinically significant differences in patient demographics or specific injuries between groups. While both groups suffered severe trauma (median Injury Severity Score for entire group 33 (IQR 20–43), the DEF group had a higher median Injury Severity Score. (Table 1) Eight patients died (7 DEF vs 1 DCL) prior to discharge and were assigned an EQ-5D value of 0. Of those who survived, 28 patients completed the EQ-5D questionnaire at discharge (12 DEF vs 16 DCL) and 25 patients at 6 months (12 DEF vs 13 DCL). (Figure 1) There was no significant difference in major abdominal complications or death between the two groups.

Table 1:

Demographics and injury severity. Continuous data presented as median (interquartile range). Categorical data presented as number (%). DCL = damage control laparotomy. DEF = definitive laparotomy. AIS = Abbreviated Injury Scale

DEF (n = 21) DCL (n = 18)
Demographics
Age, years 29 (24–48) 32 (28–40)
Sex
Female 4 (19) 4 (22)
Male 17 (81) 14 (78)
Mechanism
Blunt 12 (57) 10 (56)
Penetrating 9 (43) 8 (44)
Injuries
Liver 10 (48) 10 (56)
Spleen 11 (52) 10 (56)
Kidney 7 (33) 6 (33)
Small Bowel 9 (43) 8 (44)
Large Bowel 7 (33) 6 (33)
Pancreas 7 (33) 3 (17)
Stomach 5 (24) 3 (17)
Pelvis 8 (38) 7 (39)
Traumatic Brain Injury 6 (29) 5 (28)
Injury Severity
Head AIS 1 (0–3) 0 (0–4)
Chest AIS 3 (0–3) 3 (1–3)
Abdomen AIS 3 (3–4) 4 (3–4)
Injury Severity Score 34 (20–43) 29 (22–41)

Figure 1:

Figure 1:

Flow chart of survey completion by treatment arm. DEF = definitive laparotomy, DCL = damage control laparotomy.

At discharge, the median EQ-5D value was 0.20 (IQR 0.06 – 0.52) and 0.31 (IQR −0.03 −0.43) for DEF and DCL, respectively. At 6 months, median EQ-5D values were 0.51 (IQR 0.30 – 0.74) and 0.50 (IQR 0.28 – 0.84) for the DEF and DCL, respectively. There was no significant difference between the groups at discharge or 6 months post-discharge. (Figure 2) The posterior probability of a MCID in EQ-5D in DEF vs DCL at discharge and 6 months, was 16% and 23%, respectively. Although there was improvement in EQ-5D value between discharge and 6 months post-discharge, both groups failed to report return to baseline status at 6 months post-discharge.

Figure 2:

Figure 2:

Differences between EQ-5D scores of treatment groups. DCL = damage control laparotomy, DEF = definitive laparotomy

When assessing EQ-5D dimensions individually, more than half of patients reported moderate to extreme problems in most dimensions at discharge. At 6 months, patients continued to report persistent deficits, particularly usual activities and pain and discomfort (Figure 3).

Figure 3:

Figure 3:

Percentage of patients reporting levels within EQ-5D dimensions. DEF = definitive laparotomy, DCL = damage control laparotomy.

The PCL-C was completed by 27 patients (3 DEF vs 9 DCL) at discharge and 25 patients (6 DEF vs 9 DCL). There was no difference in score at discharge (DEF 25 (IQR 21–33) vs DCL 32 (IQR 23–44)) or at 6 months (DEF 32 (25–40) vs DCL 29 (23–45)). Symptoms of PTSD persisted at 6 months in both groups.

Discussion

The results of our trial highlight that PROs remain persistently poor at 6 months following discharge in severely injured trauma patients undergoing emergent laparotomy, regardless of DEF or DCL. In this limited cohort of patients, we were unable to identify a difference in PROs in patients managed with DEF versus DCL. At 6 months, median EQ-5D value score for DEF and DCL were 0.51 and 0.50, respectively, indicating that patients had yet to return to perfect health. Encouragingly, when compared to EQ-5D value score at discharge, both treatment groups demonstrated improvement. Similar to the EQ-5D, we were also unable to identify a difference in PCL-C between treatment groups. However, at 6 months, persistent PTSD symptoms were reported (some symptoms in DCL, moderate-moderately high symptoms in DEF). An inverse relationship between presence of PTSD symptoms and quality of life has also been described in the literature.34,4046 These results draw attention to the fact that longitudinal PRO studies in trauma are warranted to better understand long term implications and to better provide resources to assist patients.

Traditional surgical outcomes studies have focused on “audit measures”, such as mortality, morbidity, duration of hospital length of stay, or other objective measures.47,48 These measures are directly observable and quantifiable. Clinically, surgeons may find interest in these outcomes, however patients equate recovery as absence of symptoms and returning to activities of daily living.47 These surgical outcomes are not a reliably proxy for patient recovery because they may only persist for a short term, whereas non-surgical outcomes may persist for longer periods of time.47 Our results show that approximately 40% of patients report severe to extreme problems within usual activities and at least 20% of patients continue to have at least moderate problems with all categories. This highlights the longitudinal deficits that patients face when they are long beyond the acute care phase.

Admittedly, PROs are difficult to measure.49 One reason they are difficult to measure is secondary to a lack of high-quality previously-validated PRO instruments. In a systematic review of measurement properties of PROs after abdominal surgery, Fiore et al found 22 PRO measures with a majority of measures having deficiencies.50 The authors could not recommend a specific PRO instrument for abdominal surgery. Within the scope of trauma, PRO studies are largely dominated by orthopedic trauma, traumatic brain/spinal cord injury, and burns.12 EQ-5D, one of the PRO instruments used in our study, was one of the most common PRO measures utilized.12 EQ-5D is validated measure of general health, however it lacks measures specific for trauma. Trauma-specific measures are important as they accurately demonstrate changes to trauma-specific interventions.12,25 However, trauma-specific PRO instruments have been previously described, yet use in published studies has been limited and plagued with considerable variability.12,25,51,52

PROs should be collected and integrated into patient discussions to better describe health trajectory, particularly following traumatic injury.12,53,54 It has been reported that trauma patients suffer cognitive, somatic, or psychological deficits as far as 1–2 years post-injury.45,5562 Additionally, risk factors such as mechanism, gender, or socio-economic status have been associated with negative long-term effects on quality of life following trauma.63,64 These deficits and factors should be considered when discussing goals of recovery with patients. The Functional Outcomes and Recovery after Trauma Emergencies (FORTE) project was established in 2015 to better understand PROs following traumatic injuries in the United States.58 Their results show that trauma patients face persistent impairment 6 to 12 months following injury and therefore trauma registries should augment their data collection with longitudinally-collected PROs for 6 to 12 months post-injury.58 It is important to identify duration of deficits as there may be benefit to continue post-discharge interventions such as physical therapy and counseling in this cohort of patients.

This trial had several limitations, including small size, narrow scope, and lack of blinding. This study was the culmination of 3 years of prior stakeholder-driven collaboration on identifying in which patients there was equipoise for DCL. As a result, temporal changes in management of these patients may have played a role in the selection of patients. Importantly, of patients who died, the majority (75%) elected to transition to comfort care. It is difficult to quantify these decisions as they play a role in PROs. Although we gave these patients an EQ-5D value score of 0, in reality they chose that their current status is worse than death. Future studies in PROs will need to identify how to best address this issue.

Conclusion

Our results demonstrate that PRO studies are feasible in trauma patients. Furthermore, our results highlight the persistent functional and emotional deficits trauma patients face as far as 6 months following injury, regardless of DEF or DCL. Since these functional deficits persist longer than previously anticipated, there may be benefit in extending post-discharge care and interventions longer than previously anticipated.

Acknowledgements

We thank the multiple research assistants within the Center for Translational Injury Research involved with data collection. We thank the Center for Surgical Trials and Evidence-based Practice for meaningful discussion.

Funding

CEW receives funding from the William Stamps Farish Fund, the Howell Family Foundation, and the James H. “Red” Duke Professorship. JAH’s time was supported by the Center for Clinical and Translational Sciences, which is funded by National Institutes of Health Clinical and Translational Award UL1 TR000371 and KL2 TR000370 from the National Center for Advancing Translational Sciences.

Footnotes

Conflicts of Interest

The authors report no conflicts of interest.

Previously Presented:

17th Annual Meeting Academic Surgical Congress, Orlando, FL., February 1–3, 2022

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Jensen SD, Cotton BA. Damage control laparotomy in trauma. Br J Surg. Jul 2017;104(8):959–961. doi: 10.1002/bjs.10519 [DOI] [PubMed] [Google Scholar]
  • 2.Stone HH, Strom PR, Mullins RJ. Management of the major coagulopathy with onset during laparotomy. Ann Surg. May 1983;197(5):532–5. doi: 10.1097/00000658-198305000-00005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rotondo MF, Schwab CW, McGonigal MD, et al. ‘Damage control’: an approach for improved survival in exsanguinating penetrating abdominal injury. J Trauma. Sep 1993;35(3):375–82; discussion 382–3. [PubMed] [Google Scholar]
  • 4.Cotton BA, Guy JS, Morris JA Jr., Abumrad NN. The cellular, metabolic, and systemic consequences of aggressive fluid resuscitation strategies. Shock. Aug 2006;26(2):115–21. doi: 10.1097/01.shk.0000209564.84822.f2 [DOI] [PubMed] [Google Scholar]
  • 5.Hess JR, Holcomb JB, Hoyt DB. Damage control resuscitation: the need for specific blood products to treat the coagulopathy of trauma. Transfusion. May 2006;46(5):685–6. doi: 10.1111/j.1537-2995.2006.00816.x [DOI] [PubMed] [Google Scholar]
  • 6.Holcomb JB, Jenkins D, Rhee P, et al. Damage control resuscitation: directly addressing the early coagulopathy of trauma. J Trauma. Feb 2007;62(2):307–10. doi: 10.1097/TA.0b013e3180324124 [DOI] [PubMed] [Google Scholar]
  • 7.Roberts DJ, Bobrovitz N, Zygun DA, et al. Indications for use of damage control surgery and damage control interventions in civilian trauma patients: A scoping review. J Trauma Acute Care Surg. Jun 2015;78(6):1187–96. doi: 10.1097/ta.0000000000000647 [DOI] [PubMed] [Google Scholar]
  • 8.Johnson JW, Gracias VH, Schwab CW, et al. Evolution in damage control for exsanguinating penetrating abdominal injury. J Trauma. Aug 2001;51(2):261–9; discussion 269–71. doi: 10.1097/00005373-200108000-00007 [DOI] [PubMed] [Google Scholar]
  • 9.Rotondo MF, Zonies DH. The damage control sequence and underlying logic. Surg Clin North Am. Aug 1997;77(4):761–77. doi: 10.1016/s0039-6109(05)70582-x [DOI] [PubMed] [Google Scholar]
  • 10.Roberts DJ, Bobrovitz N, Zygun DA, et al. Indications for use of thoracic, abdominal, pelvic, and vascular damage control interventions in trauma patients: A content analysis and expert appropriateness rating study. J Trauma Acute Care Surg. Oct 2015;79(4):568–79. doi: 10.1097/ta.0000000000000821 [DOI] [PubMed] [Google Scholar]
  • 11.Roberts DJ, Bobrovitz N, Zygun DA, et al. Indications for Use of Damage Control Surgery in Civilian Trauma Patients: A Content Analysis and Expert Appropriateness Rating Study. Ann Surg. May 2016;263(5):1018–27. doi: 10.1097/sla.0000000000001347 [DOI] [PubMed] [Google Scholar]
  • 12.Rosenberg GM, Stave C, Spain DA, Weiser TG. Patient-reported outcomes in trauma: a scoping study of published research. Trauma Surg Acute Care Open. 2018;3(1):e000202. doi: 10.1136/tsaco-2018-000202 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nathens AB, Brunet FP, Maier RV. Development of trauma systems and effect on outcomes after injury. Lancet. May 29 2004;363(9423):1794–801. doi: 10.1016/s0140-6736(04)16307-1 [DOI] [PubMed] [Google Scholar]
  • 14.Haas B, Jurkovich GJ, Wang J, Rivara FP, Mackenzie EJ, Nathens AB. Survival advantage in trauma centers: expeditious intervention or experience? J Am Coll Surg. Jan 2009;208(1):28–36. doi: 10.1016/j.jamcollsurg.2008.09.004 [DOI] [PubMed] [Google Scholar]
  • 15.Mullins RJ, Mann NC. Population-based research assessing the effectiveness of trauma systems. J Trauma. Sep 1999;47(3 Suppl):S59–66. doi: 10.1097/00005373-199909001-00013 [DOI] [PubMed] [Google Scholar]
  • 16.Rajabiyazdi F, Alam R, Pal A, et al. Understanding the Meaning of Recovery to Patients Undergoing Abdominal Surgery. JAMA Surg. Aug 1 2021;156(8):758–765. doi: 10.1001/jamasurg.2021.1557 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ardolino A, Sleat G, Willett K. Outcome measurements in major trauma--results of a consensus meeting. Injury. Oct 2012;43(10):1662–6. doi: 10.1016/j.injury.2012.05.008 [DOI] [PubMed] [Google Scholar]
  • 18.Brenner M, Bochicchio G, Bochicchio K, et al. Long-term impact of damage control laparotomy: a prospective study. Arch Surg. Apr 2011;146(4):395–9. doi: 10.1001/archsurg.2010.284 [DOI] [PubMed] [Google Scholar]
  • 19.Lavallee DC, Chenok KE, Love RM, et al. Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care. Health Aff (Millwood). Apr 2016;35(4):575–82. doi: 10.1377/hlthaff.2015.1362 [DOI] [PubMed] [Google Scholar]
  • 20.Van Der Wees PJ, Nijhuis-Van Der Sanden MW, Ayanian JZ, Black N, Westert GP, Schneider EC. Integrating the use of patient-reported outcomes for both clinical practice and performance measurement: views of experts from 3 countries. Milbank Q. Dec 2014;92(4):754–75. doi: 10.1111/1468-0009.12091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Basch E, Spertus J, Dudley RA, et al. Methods for Developing Patient-Reported Outcome-Based Performance Measures (PRO-PMs). Value Health. Jun 2015;18(4):493–504. doi: 10.1016/j.jval.2015.02.018 [DOI] [PubMed] [Google Scholar]
  • 22.Billig JI, Sears ED, Travis BN, Waljee JF. Patient-Reported Outcomes: Understanding Surgical Efficacy and Quality from the Patient’s Perspective. Ann Surg Oncol. Jan 2020;27(1):56–64. doi: 10.1245/s10434-019-07748-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Davidson GH, Haukoos JS, Feldman LS. Practical Guide to Assessment of Patient-Reported Outcomes. JAMA Surgery. 2020;155(5):432–433. doi: 10.1001/jamasurg.2019.4526 [DOI] [PubMed] [Google Scholar]
  • 24.Deshpande PR, Rajan S, Sudeepthi BL, Abdul Nazir CP. Patient-reported outcomes: A new era in clinical research. Perspect Clin Res. Oct 2011;2(4):137–44. doi: 10.4103/2229-3485.86879 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Geraerds A, Richardson A, Haagsma J, Derrett S, Polinder S. A systematic review of studies measuring health-related quality of life of general injury populations: update 2010–2018. Health Qual Life Outcomes. May 29 2020;18(1):160. doi: 10.1186/s12955-020-01412-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Harvin JA, Adams SD, Dodwad SM, et al. Damage control laparotomy in trauma: a pilot randomized controlled trial. The DCL trial. Trauma Surg Acute Care Open. 2021;6(1):e000777. doi: 10.1136/tsaco-2021-000777 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Harvin JA, Podbielski J, Vincent LE, et al. Damage control laparotomy trial: design, rationale and implementation of a randomized controlled trial. Trauma Surg Acute Care Open. 2017;2(1):e000083. doi: 10.1136/tsaco-2017-000083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Weathers FW, Litz B, Herman D, Juska J, Keane T. PTSD checklist—civilian version. Journal of Occupational Health Psychology. 1994; [Google Scholar]
  • 29.Herdman M, Gudex C, Lloyd A, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of life research. 2011;20(10):1727–1736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Pickard AS, Law EH, Jiang R, et al. United States Valuation of EQ-5D-5L Health States Using an International Protocol. Value Health. Aug 2019;22(8):931–941. doi: 10.1016/j.jval.2019.02.009 [DOI] [PubMed] [Google Scholar]
  • 31.Coretti S, Ruggeri M, McNamee P. The minimum clinically important difference for EQ-5D index: a critical review. Expert Rev Pharmacoecon Outcomes Res. Apr 2014;14(2):221–33. doi: 10.1586/14737167.2014.894462 [DOI] [PubMed] [Google Scholar]
  • 32.Burki TK. Post-traumatic stress in the intensive care unit. The Lancet Respiratory Medicine. 2019;7(10):843–844. doi: 10.1016/S2213-2600(19)30203-6 [DOI] [PubMed] [Google Scholar]
  • 33.Zatzick DF, Rivara FP, Nathens AB, et al. A nationwide US study of post-traumatic stress after hospitalization for physical injury. Psychol Med. Oct 2007;37(10):1469–80. doi: 10.1017/s0033291707000943 [DOI] [PubMed] [Google Scholar]
  • 34.Zatzick DF, Marmar CR, Weiss DS, et al. Posttraumatic stress disorder and functioning and quality of life outcomes in a nationally representative sample of male Vietnam veterans. Am J Psychiatry. Dec 1997;154(12):1690–5. doi: 10.1176/ajp.154.12.1690 [DOI] [PubMed] [Google Scholar]
  • 35.Weathers F, Litz B, Herman D, Huska J, Keane T. The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. Annual Meeting of the International Society for Traumatic Stress Studies. TX, USA [Google Scholar]. 1993; [Google Scholar]
  • 36.Lilford RJ, Thornton JG, Braunholtz D. Clinical trials and rare diseases: a way out of a conundrum. Bmj. Dec 16 1995;311(7020):1621–5. doi: 10.1136/bmj.311.7020.1621 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Amrhein V, Greenland S, McShane B. Scientists rise up against statistical significance. Nature. Mar 2019;567(7748):305–307. doi: 10.1038/d41586-019-00857-9 [DOI] [PubMed] [Google Scholar]
  • 38.Spiegelhalter DJ, Myles JP, Jones DR, Abrams KR. Methods in health service research. An introduction to bayesian methods in health technology assessment. Bmj. Aug 21 1999;319(7208):508–12. doi: 10.1136/bmj.319.7208.508 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hatton GE, Pedroza C, Kao LS. Bayesian Statistics for Surgical Decision Making. Surg Infect (Larchmt). Aug 2021;22(6):620–625. doi: 10.1089/sur.2020.391 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Johansen VA, Wahl AK, Eilertsen DE, Weisaeth L, Hanestad BR. The predictive value of post-traumatic stress disorder symptoms for quality of life: a longitudinal study of physically injured victims of non-domestic violence. Health Qual Life Outcomes. May 21 2007;5:26. doi: 10.1186/1477-7525-5-26 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rapaport MH, Clary C, Fayyad R, Endicott J. Quality-of-life impairment in depressive and anxiety disorders. Am J Psychiatry. Jun 2005;162(6):1171–8. doi: 10.1176/appi.ajp.162.6.1171 [DOI] [PubMed] [Google Scholar]
  • 42.Schnurr PP, Hayes AF, Lunney CA, McFall M, Uddo M. Longitudinal analysis of the relationship between symptoms and quality of life in veterans treated for posttraumatic stress disorder. J Consult Clin Psychol. Aug 2006;74(4):707–13. doi: 10.1037/0022-006x.74.4.707 [DOI] [PubMed] [Google Scholar]
  • 43.Magruder KM, Frueh BC, Knapp RG, et al. PTSD symptoms, demographic characteristics, and functional status among veterans treated in VA primary care clinics. J Trauma Stress Aug 2004;17(4):293–301. doi: 10.1023/B:JOTS.0000038477.47249.c8 [DOI] [PubMed] [Google Scholar]
  • 44.Jordan BK, Marmar CR, Fairbank JA, et al. Problems in families of male Vietnam veterans with posttraumatic stress disorder. J Consult Clin Psychol. Dec 1992;60(6):916–26. doi: 10.1037//0022-006x.60.6.916 [DOI] [PubMed] [Google Scholar]
  • 45.Michaels AJ, Michaels CE, Smith JS, Moon CH, Peterson C, Long WB. Outcome from injury: general health, work status, and satisfaction 12 months after trauma. J Trauma. May 2000;48(5):841–8; discussion 848–50. doi: 10.1097/00005373-200005000-00007 [DOI] [PubMed] [Google Scholar]
  • 46.Warshaw MG, Fierman E, Pratt L, et al. Quality of life and dissociation in anxiety disorder patients with histories of trauma or PTSD. Am J Psychiatry. Oct 1993;150(10):1512–6. doi: 10.1176/ajp.150.10.1512 [DOI] [PubMed] [Google Scholar]
  • 47.Lee L, Tran T, Mayo NE, Carli F, Feldman LS. What does it really mean to “recover” from an operation? Surgery. Feb 2014;155(2):211–6. doi: 10.1016/j.surg.2013.10.002 [DOI] [PubMed] [Google Scholar]
  • 48.Neville A, Lee L, Antonescu I, et al. Systematic review of outcomes used to evaluate enhanced recovery after surgery. Br J Surg. Feb 2014;101(3):159–70. doi: 10.1002/bjs.9324 [DOI] [PubMed] [Google Scholar]
  • 49.Sakran JV, Ezzeddine H, Schwab CW, et al. Proceedings from the Consensus Conference on Trauma Patient-Reported Outcome Measures. J Am Coll Surg. May 2020;230(5):819–835. doi: 10.1016/j.jamcollsurg.2020.01.032 [DOI] [PubMed] [Google Scholar]
  • 50.Fiore JF Jr., Figueiredo S, Balvardi S, et al. How Do We Value Postoperative Recovery?: A Systematic Review of the Measurement Properties of Patient-reported Outcomes After Abdominal Surgery. Ann Surg. Apr 2018;267(4):656–669. doi: 10.1097/sla.0000000000002415 [DOI] [PubMed] [Google Scholar]
  • 51.Wanner JP, deRoon-Cassini T, Kodadek L, Brasel K. Development of a trauma-specific quality-of-life measurement. J Trauma Acute Care Surg. Aug 2015;79(2):275–81. doi: 10.1097/ta.0000000000000749 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ritschel M, Kuske S, Gnass I, et al. Assessment of patient-reported outcomes after polytrauma - instruments and methods: a systematic review. BMJ Open. Dec 16 2021;11(12):e050168. doi: 10.1136/bmjopen-2021-050168 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Smith AB, Schwarze ML. Translating Patient-Reported Outcomes From Surgical Research to Clinical Care. JAMA Surgery. 2017;152(9):811–812. doi: 10.1001/jamasurg.2017.1583 [DOI] [PubMed] [Google Scholar]
  • 54.Andrzejowski P, Holch P, Giannoudis PV. Measuring functional outcomes in major trauma: can we do better? Eur J Trauma Emerg Surg. Jun 2022;48(3):1683–1698. doi: 10.1007/s00068-021-01720-1 [DOI] [PubMed] [Google Scholar]
  • 55.Gross T, Amsler F. Main factors predicting somatic, psychological, and cognitive patient outcomes after significant injury: a pilot study of a simple prognostic tool. BJS Open. Nov 9 2021;5(6)doi: 10.1093/bjsopen/zrab109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Tamura N, Kuriyama A, Kaihara T. Health-related quality of life in trauma patients at 12 months after injury: a prospective cohort study. Eur J Trauma Emerg Surg. Dec 2019;45(6):1107–1113. doi: 10.1007/s00068-018-0993-9 [DOI] [PubMed] [Google Scholar]
  • 57.Rainer TH, Yeung JH, Cheung SK, et al. Assessment of quality of life and functional outcome in patients sustaining moderate and major trauma: a multicentre, prospective cohort study. Injury. May 2014;45(5):902–9. doi: 10.1016/j.injury.2013.11.006 [DOI] [PubMed] [Google Scholar]
  • 58.Rios-Diaz AJ, Herrera-Escobar JP, Lilley EJ, et al. Routine inclusion of long-term functional and patient-reported outcomes into trauma registries: The FORTE project. Journal of Trauma and Acute Care Surgery. 2017;83(1):97–104. doi: 10.1097/ta.0000000000001490 [DOI] [PubMed] [Google Scholar]
  • 59.Martino C, Russo E, Santonastaso DP, et al. Long-term outcomes in major trauma patients and correlations with the acute phase. World J Emerg Surg. 2020;15:6. doi: 10.1186/s13017-020-0289-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Kaske S, Lefering R, Trentzsch H, et al. Quality of life two years after severe trauma: a single-centre evaluation. Injury. Oct 2014;45 Suppl 3:S100–5. doi: 10.1016/j.injury.2014.08.028 [DOI] [PubMed] [Google Scholar]
  • 61.Holbrook TL, Hoyt DB, Coimbra R, Potenza B, Sise M, Anderson JP. Long-term posttraumatic stress disorder persists after major trauma in adolescents: new data on risk factors and functional outcome. J Trauma. Apr 2005;58(4):764–9; discussion 769–71. doi: 10.1097/01.ta.0000159247.48547.7d [DOI] [PubMed] [Google Scholar]
  • 62.Holbrook TL, Anderson JP, Sieber WJ, Browner D, Hoyt DB. Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. J Trauma. May 1999;46(5):765–71; discussion 771–3. doi: 10.1097/00005373-199905000-00003 [DOI] [PubMed] [Google Scholar]
  • 63.Haider AH, Herrera-Escobar JP, Al Rafai SS, et al. Factors Associated With Long-term Outcomes After Injury: Results of the Functional Outcomes and Recovery After Trauma Emergencies (FORTE) Multicenter Cohort Study. Ann Surg. Jun 2020;271(6):1165–1173. doi: 10.1097/sla.0000000000003101 [DOI] [PubMed] [Google Scholar]
  • 64.Herrera-Escobar JP, Rivero R, Apoj M, et al. Long-term social dysfunction after trauma: What is the prevalence, risk factors, and associated outcomes? Surgery. Sep 2019;166(3):392–397. doi: 10.1016/j.surg.2019.04.004 [DOI] [PubMed] [Google Scholar]

RESOURCES