Trajectory subtypes after injury and patient-centered outcomes

BACKGROUND: The recent focus on patient-centered outcomes highlights the need to better describe recovery trajectories after injury. The purpose of this study was to characterize recovery trajectory subtypes that exist after non-neurologic injury. MATERIALS AND METHODS: A prospective, observational cohort of 500 adults with an Injury Severity Score > 10 but without traumatic brain or spinal cord injury from 2009 to 2011 was formed. The Short Form-36 was administered at admission and repeated at 1, 2, 4, and 12 mo after injury. Group-based trajectory modeling was used to determine the number and shape of physical composite score (PCS) and mental composite score (MCS) trajectories. RESULTS: Three PCS trajectories and five MCS trajectories were identified. For PCS, trajectory 1 (10.4%) has low baseline scores, followed by no improvement over time. Trajectory 2 (65.6%) declines 1 mo after injury then improves over time. Trajectory 3 (24.1%) has a sharp decline followed by rapid recovery. For MCS, trajectory 1 (9.4%) is low at baseline and remains low. Trajectory 2 (14.4%) has a large decrease after injury and does not recover over the next 12 mo. Trajectory 3 (22.7%) has an initial decrease in MCS early, followed by continuous recovery. Trajectory 4 (19.1%) has a steady decline over the study period. Trajectory 5 (34.3%) stays consistently high at all time points. CONCLUSIONS: Recovery after injury is complex and results in multiple recovery trajectories. This has implications for patient-centered clinical trial design and in development of patient-specific interventions to improve outcomes

Prevalence and Treatment of Depression and Posttraumatic Stress Disorder among Trauma Patients with Non-neurological Injuries

Background Psychological impairment among injury survivors is well documented. Little is known about the prevalence of treatment of psychological impairment, however. We aimed to determine the proportion of injury survivors treated for depression and post-traumatic stress disorder (PTSD) in the year after injury as well as to determine potential barriers to treatment. Methods Adults (18 and over) admitted to a Level I trauma center with an injury severity score (ISS) greater than 10, but without traumatic brain injury or spinal cord injury were eligible for study inclusion. The Center for Epidemiological Studies-Depression (CES-D) and PTSD CheckList – Civilian Versions (PCL-C) surveys were administered during the initial hospitalization and repeated at 1, 2, 4, and 12 months after injury. Patients were asked if they received treatment specifically for depression or PTSD at each follow-up. Factors associated with treatment were determined using multivariable logistic regression analysis. Results 500 injury survivors were enrolled in this prospective observational study. Of those, 68.4% of patients screened positive for depression at some point in the year after their injury (53.3% 1 month, 49.9% 2 month, 49.0% 4 month, and 50.2% 12 month). Only 22.2% of depressed patients reported receiving treatment for depression. 44.4% of patients screened positive for PTSD (26.6% 1 month, 27.8% 2 month, 29.8% 4 month, and 30.0% 12 month), but only 9.8% received treatment for PTSD. After adjusting for other factors, compared to commercial insurance status, self-pay insurance status was negatively associated with treatment for PTSD or depression (OR 0.44, 95% CI 0.21-0.95). Conclusion Depression and PTSD are common in non-neurotrauma patients in the year following injury. Greater collaboration between those caring for injury survivors and behavioral health experts may help improve psychological outcomes after injury

Resiliency and quality of life trajectories after injury

Injury can greatly impact patients' long-term quality of life. Resilience refers to an individual's ability to positively adapt after facing stress or trauma. The objective of this study was to examine the relationship between preinjury resiliency scores and quality of life after injury. METHODS: Two hundred twenty-five adults admitted with an Injury Severity Score greater than 10 but without neurologic injury were included. The 36-item Short Form was administered at the time of admission and repeated at 1 month, 2 months, 4 months, and 12 months after injury. The Connor-Davidson Resilience Scale was completed at admission and scores were categorized into high resiliency or not high resiliency. Group-based trajectory modeling was used to identify distinct recovery trajectories for physical component scores (PCS) and mental component scores (MCS) of the 36-item Short Form. Multinomial logistic regression was used to determine whether baseline resiliency scores were predictive of PCS and MCS recovery trajectories. RESULTS: Age, race, sex, mechanism of injury, Charlson Comorbidity Index, Injury Severity Score, presence of hypotension on admission, and insurance status were not associated with high resiliency. Compared with those who made less than US $10,000 per year, those who made more than US$50,000 per year had higher odds of being in the high resilience group (odds ratio, 10.92; 95% confidence interval, 2.58-46.32). Three PCS and 5 MCS trajectories were identified. There was no relationship between resilience and PCS trajectory. However, patients with high resiliency scores were 85% less likely to belong to trajectory 1, the trajectory that had the lowest mental health scores over the course of the study. Follow-up for the study was 93.8% for month 1, 82.7% for month 2, 69.4% for month 4, and 63.6% for month 12. CONCLUSION: Patient resiliency predicts quality of life after injury in regards to mental health with over 25% of patients suffering poor mental health outcome trajectories. Efforts to teach resiliency skills to injured patients could improve long-term mental health for injured patients. Trauma centers are well positioned to carry out such interventions. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level III

An update on nonoperative management of the spleen in adults

Many patients with blunt splenic injury are considered for nonoperative management and, with proper selection, the success rate is high. This paper aims to provide an update on the treatments and dilemmas of nonoperative management of splenic injuries in adults and to offer suggestions that may improve both consensus and patient outcomes

Overall Splenectomy Rates Stable Despite Increasing Usage of Angiography in the Management of High-grade Blunt Splenic Injury

Objective: The purpose of this study was to understand the contemporary trends of splenectomy in blunt splenic injury (BSI) and to determine if angiography and embolization (ANGIO) may be impacting the splenectomy rate. Background: The approach to BSI has shifted to increasing use of nonoperative management, with a greater reliance on ANGIO. However, the impact ANGIO has on splenic salvage remains unclear with little contemporary data. Methods: The National Trauma Data Bank was used to identify patients 18 years and older with high-grade BSI (Abbreviated Injury Scale >II) treated at Level I or II trauma centers between 2008 and 2014. Primary outcomes included yearly rates of splenectomy, which was defined as early if performed within 6 hours of ED admission and delayed if greater than 6 hours, ANGIO, and mortality. Trends were studied over time with hierarchical regression models. Results: There were 53,689 patients who had high-grade BSI over the study period. There was no significant difference in the adjusted rate of overall splenectomy over time (24.3% in 2008, 24.3% in 2014, P value = 0.20). The use of ANGIO rapidly increased from 5.3% in 2008 to 13.5% in 2014 (P value < 0.001). Mortality was similar overtime (8.7% in 2008, 9.0% in 2014, P value = 0.33). Conclusion: Over the last 7 years, the rate of angiography has been steadily rising while the overall rate of splenectomy has been stable. The lack of improved overall splenic salvage, despite increased ANGIO, calls into question the role of ANGIO in splenic salvage on high-grade BSI at a national level

Shock volume: Patient-specific cumulative hypoperfusion predicts organ dysfunction in a prospective cohort of multiply injured patients

BACKGROUND: Multiply injured patients are at risk of developing hemorrhagic shock and organ dysfunction. We determined how cumulative hypoperfusion predicted organ dysfunction by integrating serial Shock Index measurements. METHODS: In this study, we calculated shock volume (SHVL) which is a patient-specific index that quantifies cumulative hypoperfusion by integrating abnormally elevated Shock Index (heart rate/systolic blood pressure ≥ 0.9) values acutely after injury. Shock volume was calculated at three hours (3 hr), six hours (6 hr), and twenty-four hours (24 hr) after injury. Organ dysfunction was quantified using Marshall Organ Dysfunction Scores averaged from days 2 through 5 after injury (aMODSD2–D5). Logistic regression was used to determine correspondence of 3hrSHVL, 6hrSHVL, and 24hrSHVL to organ dysfunction. We compared correspondence of SHVL to organ dysfunction with traditional indices of shock including the initial base deficit (BD) and the lowest pH measurement made in the first 24 hr after injury (minimum pH). RESULTS: SHVL at all three time intervals demonstrated higher correspondence to organ dysfunction (R2 = 0.48 to 0.52) compared to initial BD (R2 = 0.32) and minimum pH (R2 = 0.32). Additionally, we compared predictive capabilities of SHVL, initial BD and minimum pH to identify patients at risk of developing high-magnitude organ dysfunction by constructing receiver operator characteristic curves. SHVL at six hours and 24 hours had higher area under the curve compared to initial BD and minimum pH. CONCLUSION: SHVL is a non-invasive metric that can predict anticipated organ dysfunction and identify patients at risk for high-magnitude organ dysfunction after injury. LEVEL OF EVIDENCE: Prognostic study, level III

The conference effect: National surgery meetings are associated with increased mortality at trauma centers without American College of Surgeons verification

BACKGROUND: Thousands of physicians attend scientific conferences each year. While recent data indicate that variation in staffing during such meetings impacts survival of non-surgical patients, the association between treatment during conferences and outcomes of a surgical population remain unknown. The purpose of this study was to examine mortality resulting from traumatic injuries and the influence of hospital admission during national surgery meetings. STUDY DESIGN: Retrospective analysis of in-hospital mortality using data from the Trauma Quality Improvement Program (2010-2011). Identified patients admitted during four annual meetings and compared their mortality with that of patients admitted during non-conference periods. Analysis included 155 hospitals with 12,256 patients admitted on 42 conference days and 82,399 patients admitted on 270 non-conference days. Multivariate analysis performed separately for hospitals with different levels of trauma center verification by state and American College of Surgeons (ACS) criteria. RESULTS: Patient characteristics were similar between meeting and non-meeting dates. At ACS level I and level II trauma centers during conference versus non-conference dates, adjusted mortality was not significantly different. However, adjusted mortality increased significantly for patients admitted to trauma centers that lacked ACS trauma verification during conferences versus non-conference days (OR 1.2, p = 0.008), particularly for patients with penetrating injuries, whose mortality rose from 11.6% to 15.9% (p = 0.006). CONCLUSIONS: Trauma mortality increased during surgery conferences compared to non-conference dates for patients admitted to hospitals that lacked ACS trauma level verification. The mortality difference at those hospitals was greatest for patients who presented with penetrating injuries

To Sleep, Perchance to Dream: Acute and Chronic Sleep Deprivation in Acute Care Surgeons

Background Acute and chronic sleep deprivation are significantly associated with depressive symptoms and felt to be contributors to the development of burnout. In-house call (IHC) inherently includes frequent periods of disrupted sleep and is common amongst acute care surgeons (ACS). The relationship between IHC and sleep deprivation (SD) amongst ACS has not been previously studied. The goal of this study was to determine prevalence and patterns of SD in ACS. Study Design: A prospective study of ACS with IHC responsibilities from two Level I trauma centers was performed. Participants wore a sleep tracking device continuously over a 3-month period. Data collected included age, gender, schedule of IHC, hours and pattern of each sleep stage (light, slow wave (SWS), and REM), and total hours of sleep. Sleep patterns were analyzed for each night excluding IHC and categorized as normal (N), acute sleep deprivation (ASD), or chronic sleep deprivation (CSD). Results 1421 nights were recorded amongst 17 ACS. (35.3% female; ages 37-65, mean 45.5 years). Excluding IHC, average amount of sleep was 6.54 hours with 64.8% of sleep patterns categorized as ASD or CSD. Average amount of sleep was significantly higher on post-call day 1 (6.96 hours, p=0.0016), but decreased significantly on post-call day 2 (6.33 hours, p=0.0006). Sleep patterns with ASD and CSD peaked on post-call day 2, and returned to baseline on post-call day 3 (p=0.046). Conclusion Sleep patterns consistent with ASD and CSD are common amongst ACS and worsen on post-call day 2. Baseline sleep patterns were not recovered until post-call day 3. Future study is needed to identify factors which impact physiologic recovery after IHC and further elucidate the relationship between SD and burnout

Perceived loss of social support after non-neurologic injury negatively impacts recovery

Background: Traumatic injury is not only physically devastating, but also psychologically isolating, potentially leading to poor quality of life, depression and posttraumatic stress disorder (PTSD). Perceived social support (PSS) is associated with better outcomes in some populations. What is not known is if changes in PSS influence long-term outcomes following nonneurologic injury. We hypothesized that a single drop in PSS during recovery would be associated with worse quality of life. Methods: This is a post hoc analysis of a prospectively collected database that included patients 18 years or older admitted to a Level I trauma center with Injury Severity Score (ISS) of 10 or higher, and no traumatic brain or spinal cord injury. Demographic and injury data were collected at the initial hospital admission. Screening for depression, PTSD, and Medical Outcomes Study Short Form 36 Mental Composite Score (MCS) were obtained at the initial hospitalization, 1, 2, 4, and 12 months postinjury. The Multidimensional Scale of Perceived Social Support (MSPSS) was obtained at similar time points. Patients with high MSPSS (>5) at baseline were included and grouped by those that ever reported a score ≤5 (DROP), and those that remained high (STABLE). Outcomes were determined at 4 and 12 months. Results: Four hundred eleven patients were included with 96 meeting DROP criteria at 4 months, and 97 at 1 years. There were no differences in sex, race, or injury mechanism. The DROP patients were more likely to be single (p = 0.012 at 4 months, p = 0.0006 at 1 year) and unemployed (p = 0.016 at 4 months, and p = 0.026 at 1 year) compared with STABLE patients. At 4 months and 1 year, DROP patients were more likely to have PTSD, depression, and a lower MCS (p = 0.0006, p < 0.0001). Conclusion: Patients who have a drop in PSS during the first year of recovery have significantly higher odds of poor psychological outcomes. Identifying these socially frail patients provides an opportunity for intervention to positively influence an otherwise poor quality of life. Level of evidence: Therapeutic, Prognostic and Epidemiological, Level III

Clinical indicators of hemorrhagic shock in pregnancy

Background Several hemodynamic parameters have been promoted to help establish a rapid diagnosis of hemorrhagic shock, but they have not been well validated in the pregnant population. In this study, we examined the association between three measures of shock and early blood transfusion requirements among pregnant trauma patients. Methods This study included 81 pregnant trauma patients admitted to a level 1 trauma center (2010–2015). In separate logistic regression models, we tested the relationship between exposure variables—initial systolic blood pressure (SBP), shock index (SI), and rate over pressure evaluation (ROPE)—and the outcome of transfusion of blood products within 24 hours of admission. To test the predictive ability of each measure, we used receiver operating characteristic (ROC) curves. Results A total of 10% of patients received blood products in the patient cohort. No patients had an initial SBP≤90, so the SBP measure was excluded from analysis. We found that patients with SI>1 were significantly more likely to receive blood transfusions compared with patients with SI3 was not associated with blood transfusion compared with ROPE≤3 (OR 2.92; 95% CI 0.28 to 30.42). Furthermore, comparison of area under the ROC curve for SI (0.68) and ROPE (0.54) suggested that SI was more predictive than ROPE of blood transfusion. Conclusion We found that an elevated SI was more closely associated with early blood product transfusion than SBP and ROPE in injured pregnant patients. Level of evidence Prognostic, level II