Moving beyond traditional measurement of mortality after injury: evaluation of risks for late death

Long-term life expectancy in severe traumatic brain injury: a systematic review

INTRODUCTION

Traumatic brain injuries (TBIs) pose significant challenges to public health, medicine, and society due to their substantial impact on victims, caregivers, and the community. While indicators like life expectancy or death rates provide insights into mortality and long-term outcomes, they fail to address how TBIs affect aging, neurological sequelae, cognitive impairment, and psychological or psychiatric disorders. Moreover, most studies are limited to North America, limiting the generalizability of findings across different social welfare systems. As a result, clinicians face difficulties in providing optimal care and prognosis, hindering the improvement of life quality for victims and caregivers and efficient public health service planning. This study aims to address these limitations by examining life expectancy, mortality rates, and long-term outcomes in severely injured individuals.

EVIDENCE ACQUISITION

PubMed/Medline, Web of Science, Cochrane Library, Google Scholar, and PEDro search engines were systematically searched for studies investigating life expectancy and long-term outcomes in severe traumatic brain injuries. The final search date for all sources/databases was July 31, 2023. We conducted a systematic review, and only original research articles published in English were eligible for inclusion. After the screening process, data were extracted about life expectancy, follow-up, and conclusions.

EVIDENCE SYNTHESIS

This study analyzed 24 studies out of 343 identified. Life expectancy in the TBI population is lower than that of the general population. Older age and severity of functional impairments are major risk factors for mortality. Mortality rates are particularly high in the first two months. Mortality trends suggest a bimodal distribution, with a peak in the first five years followed by no further deaths until nine years after injury. The most influential factors include age, sex, trauma severity, independence in walking and feeding, time since injury, ventilator dependence, and cognitive and communication impairments. Respiratory and circulatory complications are among the leading causes of TBI-related deaths, followed by epilepsy, suicide, and respiratory infections.

CONCLUSIONS

Further research is required, considering the different long-term outcomes after TBI and their impact on families and society, to accurately estimate the life expectancy necessary for clinicians, caregivers, national health institutions, and medico-legal settlements.

Exploring the impact of traumatic injury on mortality: An analysis of the certified cause of death within one year of serious injury in the Scottish population

BACKGROUND

Few studies effectively quantify the long-term incidence of death following injury. The absence of detailed mortality and underlying cause of death data results in limited understanding and a potential underestimation of the consequences at a population level. This study takes a nationwide approach to identify the one-year mortality following injury in Scotland, evaluating survivorship in relation to pre-existing comorbidities and incidental causes of death.

STUDY DESIGN

This retrospective cohort study assessed the one-year mortality of adult trauma patients with an Injury Severity Score ≥ 9 during 2020 using the Scottish Trauma Audit Group (STAG) registry linked to inpatient hospital data and death certificate records. Patients were divided into three groups: trauma death, trauma-contributed death, and non-trauma death. Kaplan-Meier curves were used for survival analysis to evaluate mortality, and cox proportional hazards regression analysed risk factors linked to death.

RESULTS

4056 patients were analysed with a median age 63 years (58-88) and male predominance (55.2 %). Falls accounted for 73.1 % of injuries followed by motor vehicle accidents (16.3 %) and blunt force (4.9 %). Extremity was the most commonly injured region overall followed by chest and head. However, head injury prevailed in those who died. The registry demonstrated a one-year mortality of 19.3 % with 55 % deaths occurring post-discharge. Of all deaths reported, 35.3 % were trauma deaths, and 47.7 % were trauma-contributed deaths. These groups accounted for over 70 % of mortality within 30 days of hospital admission and continued to represent the majority of deaths up to 6 months post-injury. Patients who died after 6 months were mainly the result of non-traumatic causes, frequently circulatory, neoplastic, and respiratory diseases (37.7 %, 12.3 %, 9.1 %, respectively). Independent risk factors for one-year mortality included a GCS ≤ 8, modified Charlson Comorbidity score >5, Injury Severity Score >25, serious head injury, age and sex.

CONCLUSION

With a one-year mortality of 19.3 %, and post-discharge deaths higher than previously appreciated, patients can face an extended period of survival uncertainty. As mortality due to index trauma lasted up to 6 months post-admission, short-term outcomes fail to represent trauma burden and so cogent survival predictions should be avoided in clinical and patient settings.

The injured monocyte: The link to chronic critical illness and mortality following injury

BACKGROUND

This study aimed to understand the altered innate immune response in severely injured patients leading to chronic critical illness (CCI). Specifically, it focused on characterizing the monocyte populations and their correlation with CCI development and long-term complications.

METHODS

Over a 3-year period, we monitored patients with severe injuries for up to 1-year postinjury. Chronic critical illness was defined as an ICU stay exceeding 14 days with persistent organ failure. Blood samples were collected on Days 1 and 5 for monocyte phenotypic expression analysis using cytometry by time flight. The monocyte subpopulations studied were classical (CL), intermediate (INT), and nonclassical (NC), along with cell surface receptor expression and activation.

RESULTS

Out of 80 enrolled patients, 26 (32.5%) developed CCI. Patients with CCI had more severe injuries (Injury Severity Score, 32.4 + 5.2 vs. 29.6 + 4.1, p = 0.01) and received a higher number of red blood cells (8.9 + 4.1 vs. 4.7 + 3.8 units, p < 0.01) compared with those without CCI. In patients with CCI, the NC monocytes were significantly reduced by over twofold early, and significantly increased later, compared with those without CCI. Moreover, significant changes in intracellular cytokine expression and cell receptors were observed within each monocyte subpopulation in patients with CCI, indicating an increased proinflammatory phenotype but decreased phagocytic capacity and antigen presentation. The development of CCI and the presence of this unique monocyte phenotype were associated with a significantly increased risk of infection, discharge to a long-term care facility, and 1-year mortality of 27%.

CONCLUSION

Development of CCI following severe injury is associated with significant long-term morbidity and unacceptably high mortality. The altered NC phenotype with reduced phagocytic capacity and antigen presentation in patients developing CCI after severe injury is appears partially responsible. Early identification of this unique phenotype may help predict and treat patients at risk for CCI, leading to improved outcomes.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Loss of independence after traumatic injury: A patient-centered study

BACKGROUND

Patient-reported outcomes of postdischarge functional status can provide insight into patient recovery experiences not typically reflected in trauma registries. Injuries may be characterized by a long-term loss of independence. We sought to examine factors predictive of patient-reported, postdischarge loss of independence in trauma patients.

METHODS

Trauma patients admitted to 1 of 3 level I trauma centers were contacted by phone between 6 to 12 months after hospital discharge to complete the Revised Trauma Quality of Life survey. Loss of independence was defined as a new need for assistance with at least one activity of daily living or transition to living in an institutional setting. Patients with severe traumatic brain injury or spinal cord injury were excluded. Multivariable logistic regression analyses were performed to identify predictors of loss of independence.

RESULTS

801 patients were included. The median age was 65 (interquartile range: 46-76) years, 46.1% were female, and the median Injury Severity Score was 9 (interquartile range: 9-13). Two hundred seventy-one patients (33.8%) experienced a loss of independence, most commonly requiring assistance walking up stairs. The main predictors of loss of independence were persistent daily pain (odds ratio: 3.83, 95% confidence interval: [2.90-5.04], P < .001), length of hospital stay (odds ratio: 1.04, 95% confidence interval: [1.01-1.09], P = .021) and income below the national median (odds ratio: 1.46, 95% confidence interval: [1.12-1.91], P = .006). Perceived social support (odds ratio: 0.75, 95% confidence interval: [0.66-0.85], P < .001) was protective against loss of independence.

CONCLUSION

Injury is associated with a relatively high rate of long-term loss of independence. Ensuring adequate social support systems for patients postdischarge may help them regain functional independence after injury.

Causes of death following discharge after trauma in North Carolina

BACKGROUND

While a "fourth peak" of delayed trauma mortality has been described, limited data describe the causes of death (CODs) for patients in the years following an injury. This study investigates the difference in COD statewide for patients with and without a recent trauma admission.

METHODS

This retrospective cohort study compared COD for trauma and nontrauma patients in North Carolina. Death certificates in NC's death registry were matched with the NC trauma registry between January 2013 and December 2018 using matching on name and date of birth. Patients who died during the index trauma admission were excluded. Underlying COD recorded on the death certificate were used for the primary analysis.

RESULTS

Of 481,415 death records, 19,083 (4.0%) were linked to an alive discharge within the trauma registry during the study period. Prior trauma patients (PTPs) had a higher incidence of mental illness (9.2 vs. 6.1%), Alzheimer's (6.1% vs. 4.2%), and opioid-related (1.8% vs. 1.6%) COD compared to nontrauma patients, p < 0.05. Overall, suicide was higher in the nontrauma cohort (1.5% vs. 1.1%); however, PTP had higher incidences of death by motor vehicle collision and other injury (6.0% vs. 3.8%) and homicide (0.9% vs. 0.6%), p < 0.001. Prior trauma patients had 1.16 increased odds of an opioid-related death (p = 0.009; 95% confidence interval, 1.04-1.29) compared with those without prior trauma. Younger PTP had a much higher rate of death from suicide (12.0%) compared with those 41 to 65 years (2.8%) and older than 65 years (0.2%; p < 0.001). Discharge to skilled nursing facility (odds ratio, 1.87; p < 0.05) and severe injury (odds ratio, 1.93; p < 0.05) were associated with early death after discharge (≤90 days).

CONCLUSION

After hospital discharge, PTPs remain at risk of dying from future trauma and opioid-related conditions. Prevention strategies for PTP should address the increased risk of death from a subsequent traumatic injury and the at-risk populations for early death after discharge.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic, Level IV.

Chronic critical illness after hypothermia in trauma patients

Objectives

Chronic critical illness (CCI) is a phenotype that occurs frequently in patients with severe injury. Previous work has suggested that inflammatory changes leading to CCI occur early following injury. However, the modifiable factors associated with CCI are unknown. We hypothesized that hypothermia, an early modifiable factor, is associated with CCI.

Methods

To determine the association of hypothermia and CCI, a secondary analysis of the Inflammation and Host Response to Injury database was performed, and subsequently validated on a similar cohort of patients from a single level 1 trauma center from January 2015 to December 2019. Hypothermia was defined as initial body temperature ≤34.5°C. CCI was defined as death or sustained multiorgan failure ≥14 days after injury. Data were analyzed using univariable analyses with Student’s t-test and Pearson’s χ² test, and logistic regression. An arrayed genomic analysis of the transcriptome of circulating immune cells was performed in these patients.

Results

Of the initial 1675 patients, 254 had hypothermia and 1421 did not. On univariable analysis, 120/254 (47.2%) of patients with hypothermia had CCI, compared with 520/1421 (36.6%) without hypothermia who had CCI, p<0.001. On multivariable logistic regression, hypothermia was independently associated with CCI, OR 1.61 (95% CI 1.17 to 2.21) but not mortality. Subsequent validation in 1264 patients of which 172 (13.6%) were hypothermic, verified that hypothermia was independently associated with CCI on multivariable logistic regression, OR 1.84 (95% CI 1.21 to 2.41). Transcriptomic analysis in hypothermic and non-hypothermic patients revealed unique cellular-specific genomic changes to only circulating monocytes, without any distinct effect on neutrophils or lymphocytes.

Conclusions

Hypothermia is associated with the development of CCI in severely injured patients. There are transcriptomic changes which indicate that the changes induced by hypothermia may be associated with persistent CCI. Thus, early reversal of hypothermia following injury may prevent the CCI.

Level of evidence

III.

The effectiveness of trauma care systems at different stages of development in reducing mortality: a systematic review and meta-analysis

BACKGROUND

Traumatic injury remains the leading cause of death, with more than five million deaths every year. Little is known about the comparative effectiveness in reducing mortality of trauma care systems at different stages of development. The objective of this study was to review the literature and examine differences in mortality associated with different stages of trauma system development.

METHOD

A systematic review of peer-reviewed population-based studies retrieved from MEDLINE, EMBASE, and CINAHL. Additional studies were identified from references of articles, through database searching, and author lists. Articles written in English and published between 2000 and 2020 were included. Selection of studies, data extraction, and quality assessment of the included studies were performed by two independent reviewers. The results were reported as odds ratio (OR) with 95 % confidence intervals (CI).

RESULTS

A total of 52 studies with a combined 1,106,431 traumatic injury patients were included for quantitative analysis. The overall mortality rate was 6.77% (n = 74,930). When patients were treated in a non-trauma centre compared to a trauma centre, the pooled statistical odds of mortality were reduced (OR 0.74 [95% CI 0.69-0.79]; p < 0.001). When patients were treated in a non-trauma system compared to a trauma system the odds of mortality rates increased (OR 1.17 [95% CI 1.10-1.24]; p < 0.001). When patients were treated in a post-implementation/initial system compared to a mature system, odds of mortality were significantly higher (OR 1.46 [95% CI 1.37-1.55]; p < 0.001).

CONCLUSION

The present study highlights that the survival of traumatic injured patients varies according to the stage of trauma system development in which the patient was treated. The analysis indicates a significant reduction in mortality following the introduction of the trauma system which is further enhanced as the system matures. These results provide evidence to support efforts to, firstly, implement trauma systems in countries currently without and, secondly, to enhance existing systems by investing in system development.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42019142842 .

Trauma-registry survival outcome follow up: 30 days is mandatory and appears sufficient

INTRODUCTION

Thirty-day in-hospital mortality is a common outcome measure in trauma-registry research and benchmarking. However, this does not include deaths after hospital discharge before 30 days or late deaths beyond 30 days since the injury. To evaluate the reliability of this outcome measure, we assessed the timing and causes of death during the first year after major blunt trauma in patients treated at a single tertiary trauma center.

METHODS

We used the Helsinki Trauma Registry to identify severely injured (NISS ≥ 16) blunt trauma patients during 2006 to 2015. The Population Register center of Finland provided the mortality data for patients and Statistics Finland provided the cause of death information from death certificates. Disease, work-related disease, medical treatment, and unknown cause of death were considered as non-trauma related deaths. We divided the 1-year study period into the following three categories: in-hospital death before 30 days (Group 1), death after discharge but within 30 days (Group 2), and death 31 to 365 days since admission (Group 3).

RESULTS

We included 3557 patients with a median NISS of 29. Altogether, 21.8% (776/3557) patients died during the first year since the injury. Of these non-survivors, 12.7% (450) were in Group 1, 4.0% (141) in Group 2, and 5.2% (185) in Group 3. Non-traumatic deaths not directly related to the injury increased substantially as the time from the injury increased and were 2.0% (9/450) in Group 1, 13.5% (19/141) in Group 2, and 35.7% (66/185) in Group 3.

CONCLUSION

Thirty-day mortality is a proper outcome that measures survival after severe blunt trauma. However, applying only in-hospital mortality instead of actual 30-day mortality may exclude non-survivors who die at another facility before day 30. This could result in over-optimistic benchmarking results. On the other hand, extending the follow-up period beyond 30 days increases the rate of non-traumatic deaths. By combining data from different registries, it is possible to address this challenge in current trauma-registry research caused by lack of follow up.

Long-term patient-reported outcome measures after injury: National Trauma Research Action Plan (NTRAP) scoping review protocol

Background

A significant proportion of patients who survive traumatic injury continue to suffer impaired functional status and increased mortality long after discharge. However, despite the need to improve long-term outcomes, trauma registries in the USA do not collect data on outcomes or care processes after discharge. One of the main barriers is the lack of consensus regarding the optimal outcome metrics.

Objectives

To describe the methodology of a scoping review evaluating current evidence on the available measures for tracking functional and patient-reported outcomes after injury. The aim of the review was to identify and summarize measures that are being used to track long-term functional recovery and patient-reported outcomes among adults after injury.

Methods

A systematic search of PubMed and Embase will be performed using the search terms for the population (adult trauma patients), type of outcomes (long-term physical, mental, cognitive, and quality of life), and measures available to track them. Studies identified will be reviewed and assessed for relevance by at least two reviewers. Data will be extracted and summarized using descriptive statistics and a narrative synthesis of the results. This protocol is being reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines.

Dissemination

This scoping review will provide information regarding the currently available metrics for tracking functional and patient-reported outcomes after injury. The review will be presented to a multi-disciplinary stakeholder group that will evaluate these outcome metrics using an online Delphi approach to achieve consensus as part of the development of the National Trauma Research Action Plan (NTRAP). The results of this review will be presented at relevant national surgical conferences and published in peer-reviewed scientific journals.

Short-term versus long-term trauma mortality: A systematic review

BACKGROUND

Trauma is the leading cause of death in the United States for persons under 44 years and the fourth leading cause of death in the elderly. Advancements in clinical care and standardization of treatment protocols have reduced 30-day trauma mortality to less than 4%. However, these improvements do not seem to correlate with long-term outcomes. Some reports have shown a greater than 20% mortality rate when looking at long-term outcomes. The aim of this study was to systematically review the incongruence between short- and long-term mortality for trauma patients.

METHODS

For this systematic review, we searched the Cochrane Library, EMBASE, Ovid Medline, Google Scholar, and Web of Science database to obtain relevant English, German, French, and Portuguese articles from 1965 to 2018.

RESULTS

Trauma patients have decreased long-term survival when compared to the general population and when compared with age-matched cohorts. Postdischarge trauma mortality is significantly higher (mean, 4.6% at 3-6 months, 15.8% at 2-3 years, 26.3% at 5-25 years) compared with controls (mean, 1.3%, 2.2%, and 15.6%, respectively). Patient comorbidities likely contribute to long-term trauma deaths. Trauma patients discharged to a skilled nursing facility have worse mortality compared with those discharged either to home or a rehabilitation center. In contrast to data available which illustrate that short-term mortality has improved, quality of evidence was not sufficient to determine if any improvements in long-term trauma mortality outcomes have also occurred.

CONCLUSIONS

The decreased short-term mortality observed in trauma patients does not appear correlated with decreased long-term mortality. The extent to which increased long-term trauma mortality is related to the initial traumatic insult-versus rising population age and comorbidity burden as well as suboptimal discharge location-requires further study.

LEVEL OF EVIDENCE

Systematic Review, level IV.

The incidence and associations of acute kidney injury in trauma patients admitted to critical care: A systematic review and meta-analysis

BACKGROUND

As more patients are surviving the initial effects of traumatic injury clinicians are faced with managing the systemic complications of severe tissue injury. Of these, acute kidney injury (AKI) may be a sentinel complication contributing to adverse outcomes.

OBJECTIVE

To establish the incidence of AKI in patients admitted to critical care after major trauma, to explore any risk factors and to evaluate the association of AKI with outcomes.

DATA SOURCES

Systematic search of MEDLINE, Excerpta Medica database and Cochrane library from January 2004 to April 2018.

STUDY SELECTION

Studies of adult major trauma patients admitted to critical care that applied consensus AKI criteria (risk injury failure loss end stage [RIFLE], AKI network, or kidney disease improving global outcomes) and reported clinical outcomes were assessed (PROSPERO Registration: CRD42017056781). Of the 35 full-text articles selected from the screening, 17 (48.6%) studies were included.

DATA EXTRACTION AND SYNTHESIS

We followed the PRISMA guidelines and study quality was assessed using the Newcastle-Ottawa score. The pooled incidence of AKI and relative risk of death were estimated using random-effects models.

MAIN OUTCOMES AND MEASURES

Incidence of AKI was the primary outcome. The secondary outcome was study-defined mortality.

RESULTS

We included 17 articles describing AKI outcomes in 24,267 trauma patients. The pooled incidence of AKI was 20.4% (95% confidence interval [CI], 16.5-24.9). Twelve studies reported the breakdown of stages of AKI with 55.7% of patients classified as RIFLE-R or stage 1, 30.3% as RIFLE-I or stage 2, and 14.0% as RIFLE-F or stage 3. The pooled relative risk of death with AKI compared was 3.6 (95% CI, 2.4-5.3). In addition, there was a concordant increase in odds of death among six studies that adjusted for multiple variables (adjusted odds ratio, 2.7; 95% CI, 1.9-3.8; p = <0.01).

CONCLUSION

Acute kidney injury is common after major trauma and associated with increased mortality. Future research is warranted to reduce the potential for harm associated with this subtype of AKI.

LEVEL OF EVIDENCE

Systematic review and meta-analysis, level III.

Distribution of Trauma Deaths in a Province of Korea: Is "Trimodal" Distribution Relevant Today?

PURPOSE

This study was designed to provide a basis for building a master plan for a regional trauma system by analyzing the distribution of trauma deaths in the most populous province in Korea.

MATERIALS AND METHODS

We investigated the time distribution to death for trauma patients who died between January and December 2017. The time distribution to death was categorized into four groups (within a day, within a week, within a month, and over a month). Additionally, the distribution of deaths within 24 hours was further analyzed. We also reviewed the distribution of deaths according to the cause of death and mechanism of injury.

RESULTS

Of the 1546 trauma deaths, 328 cases were included in the final study population. Patients who died within a day were the most prevalent (40.9%). Of those who died within a day, the cases within an hour accounted for 40.3% of the highest proportion. The majority of trauma deaths within 4 hours were caused by traffic-related accidents (60.4%). The deaths caused by bleeding and central nervous system injuries accounted for most (70.1%) of the early deaths, whereas multi-organ dysfunction syndrome/sepsis had the highest ratio (69.7%) in the late deaths. Statistically significant differences were found in time distribution according to the mechanism of injury and cause of death (p<0.001).

CONCLUSION

The distribution of overall timing of death was shown to follow a bimodal pattern rather than a trimodal model in Korea. Based on our findings, a suitable and modified trauma system must be developed.

Duration of Respiratory Failure After Trauma Is Not Associated With Increased Long-Term Mortality

OBJECTIVES

Although 1-year survival in medically critically ill patients with prolonged mechanical ventilation is less than 50%, the relationship between respiratory failure after trauma and 1-year mortality is unknown. We hypothesize that respiratory failure duration in trauma patients is associated with decreased 1-year survival.

DESIGN

Retrospective cohort of trauma patients.

SETTING

Single center, level 1 trauma center.

PATIENTS

Trauma patients admitted from 2011 to 2014; respiratory failure is defined as mechanical ventilation greater than or equal to 48 hours, excluded head Abbreviated Injury Score greater than or equal to 4.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Mortality was calculated from the Washington state death registry. Cohort was divided into short (≤ 14 d) and long (> 14 d) ventilation groups. We compared survival with a Cox proportional hazard model and generated a receiver operator characteristic to describe the respiratory failure and mortality relationship. Data are presented as medians with interquartile ranges and hazard ratios with 95% CIs. We identified 1,503 patients with respiratory failure; median age was 51 years (33-65 yr) and Injury Severity Score was 19 (11-29). Median respiratory failure duration was 3 days (2-6 d) with 10% of patients in the long respiratory failure group. Cohort mortality at 1 year was 16%, and there was no difference in mortality between short and long duration of respiratory failure. Predictions for 1-year mortality based on respiratory failure duration demonstrated an area under the receiver operator characteristic curve of 0.57. We determined that respiratory failure patients greater than or equal to 75 years had an increased hazard of death at 1 year, hazard ratio, 6.7 (4.9-9.1), but that within age cohorts, respiratory failure duration did not influence 1-year mortality.

CONCLUSIONS

Duration of mechanical ventilation in the critically injured is not associated with 1-year mortality. Duration of ventilation following injury should not be used to predict long-term survival.

Transitions of Care in Geriatric Medicine

Elderly patients are at increased risk for morbidity and mortality after injury or surgery in both the inpatient and postdischarge settings. The importance of discharge destination after the index hospitalization is increasingly recognized as a determinant of long-term survival, with discharge to a post-acute care facility portending a worse prognosis. Efforts to minimize discharge to post-acute care facilities should include early discharge planning. Communication among a multidisciplinary care team sets the groundwork for effective discharge planning and transitions of care. The elderly face several systematic, psychosocial, functional, and financial barriers that pose significant challenges to successful transitions of care.

One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis

Background

Survivors of trauma are at increased risk of dying after discharge. Studies have found that age, head injury, injury severity, falls and co-morbidities predict long-term mortality. The objective of our study was to build a nomogram predictor of 1-year and 3-year mortality for major blunt trauma adult survivors of the index hospitalization.

Methods

Using data from the Singapore National Trauma Registry, 2011–2013, we analyzed adults aged 18 and over, admitted after blunt injury, with an injury severity score (ISS) of 12 or more, who survived the index hospitalization, linked to death registry data. The study population was randomly divided 60/40 into separate construction and validation datasets, with the model built in the construction dataset, then tested in the validation dataset. Multivariable logistic regression was used to analyze 1-year and 3-year mortality.

Results

Of the 3414 blunt trauma survivors, 247 (7.2%) died within 1 year, and 551 (16.1%) died within 3 years of injury. Age (OR 1.06, 95% CI 1.05–1.07, p < 0.001), male gender (OR 1.53, 95% CI 1.12–2.10, p < 0.01), low fall from 0.5 m or less (OR 3.48, 95% CI 2.06–5.87, p < 0.001), Charlson comorbidity index of 2 or more (OR 2.26, 95% CI 1.38–3.70, p < 0.01), diabetes (OR 1.31, 95% CI 1.68–2.52, p = 0.04), cancer (OR 1.76, 95% CI 0.94–3.32, p = 0.08), head and neck AIS 3 or more (OR 1.79, 95% CI 1.13–2.84, p = 0.01), length of hospitalization of 30 days or more (OR 1.99, 95% CI 1.02–3.86, p = 0.04) were predictors of 1-year mortality. This model had a c-statistic of 0.85. Similar factors were found significant for the model predictor of 3-year mortality, which had a c-statistic of 0.83. Both models were validated on the second dataset, with an overall accuracy of 0.94 and 0.84 for 1-year and 3-year mortality respectively.

Conclusions

Adult survivors of major blunt trauma can be risk-stratified at discharge for long-term support.

Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy

Clinical and technological advances promoting early hemorrhage control and physiologic resuscitation as well as early diagnosis and optimal treatment of sepsis have significantly decreased in-hospital mortality for many critically ill patient populations. However, a substantial proportion of severe trauma and sepsis survivors will develop protracted organ dysfunction termed chronic critical illness (CCI), defined as ≥14 days requiring intensive care unit (ICU) resources with ongoing organ dysfunction. A subset of CCI patients will develop the persistent inflammation, immunosuppression, and catabolism syndrome (PICS), and these individuals are predisposed to a poor quality of life and indolent death. We propose that CCI and PICS after trauma or sepsis are the result of an inappropriate bone marrow response characterized by the generation of dysfunctional myeloid populations at the expense of lympho- and erythropoiesis. This review describes similarities among CCI/PICS phenotypes in sepsis, cancer, and aging and reviews the role of aberrant myelopoiesis in the pathophysiology of CCI and PICS. In addition, we characterize pathogen recognition, the interface between innate and adaptive immune systems, and therapeutic approaches including immune modulators, gut microbiota support, and nutritional and exercise therapy. Finally, we discuss the future of diagnostic and prognostic approaches guided by machine and deep-learning models trained and validated on big data to identify patients for whom these approaches will yield the greatest benefits. A deeper understanding of the pathophysiology of CCI and PICS and continued investigation into novel therapies harbor the potential to improve the current dismal long-term outcomes for critically ill post-injury and post-infection patients.

Using electronic health record data for environmental and place based population health research: a systematic review

PURPOSE

We conducted a systematic review of literature published on January 2000-May 2017 that spatially linked electronic health record (EHR) data with environmental information for population health research.

METHODS

We abstracted information on the environmental and health outcome variables and the methods and data sources used.

RESULTS

The automated search yielded 669 articles; 128 articles are included in the full review. The number of articles increased by publication year; the majority (80%) were from the United States, and the mean sample size was approximately 160,000. Most articles used cross-sectional (44%) or longitudinal (40%) designs. Common outcomes were health care utilization (32%), cardiometabolic conditions/obesity (23%), and asthma/respiratory conditions (10%). Common environmental variables were sociodemographic measures (42%), proximity to medical facilities (15%), and built environment and land use (13%). The most common spatial identifiers were administrative units (59%), such as census tracts. Residential addresses were also commonly used to assign point locations, or to calculate distances or buffer areas.

CONCLUSIONS

Future research should include more detailed descriptions of methods used to geocode addresses, focus on a broader array of health outcomes, and describe linkage methods. Studies should also explore using longitudinal residential address histories to evaluate associations between time-varying environmental variables and health outcomes.

The Evolution of Trauma in Los Angeles County Over More Than a Decade

OBJECTIVE

Explore trends in trauma incidence and mortality rates in Los Angeles County.

DESIGN

Data for patients treated at Los Angeles County trauma centers from 2000 to 2011 were analyzed for this study. Age-adjusted incidence and mortality rates were calculated by gender, race, injury type, injury severity, and mechanism of injury. Trends were assessed using linear regression to determine the annual percentage change (APC).

RESULTS

There were 223 773 patients included. The trauma incidence rate increased by 14.6% driven by an increase in blunt injury of 5.4% annually (P < .05). Penetrating injury decreased at -6.9% APC (P < .01). Mortality rate decreased at -11.5% APC (P < .01), with reduction in both blunt (-6.8% APC [P < .01]) and penetrating injuries (-16.7% APC [P < .01]). The trends in mortality persisted with stratification by age, gender, race, and injury severity score.

CONCLUSION

In this mature trauma system, the trauma incidence increased slightly from 2000 to 2011, while the mortality steadily declined. Public health officials in other areas could perform a similar self-evaluation to describe and monitor injury events and trends in their jurisdictions, a reassessment of priority and trauma system resource allocation, which will directly benefit the regional population.

Facility-Level Factors and Outcomes After Skilled Nursing Facility Admission for Trauma and Surgical Patients

OBJECTIVE

Patients discharged to skilled nursing facilities (SNFs) have worse outcomes than those discharged to home, but whether this is due to differences in facility-level factors in addition to patient characteristics is not known. We aimed to determine whether SNF-level factors including nurse staffing and patient density are associated with outcomes after acute hospitalization for trauma or surgery.

DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS

Retrospective study of patients discharged to Medicare-certified SNFs after trauma or major surgery from 2007 to 2009. We measured the ratio of beds per nurse and the proportion of trauma and surgery patients at each facility (density). Outcomes were 1-year mortality, hospital readmission, and failure to discharge home at first discharge disposition.

RESULTS

For 389,133 patients (mean age 78 years, 63% female) admitted to 3707 SNFs, mortality was 26%, hospital readmission 26%, and failure to discharge home 44%. After adjusting for patient-level factors, SNFs with fewer beds per nurse had lower odds of mortality [odds ratio (OR): trauma 0.84; (95% confidence interval: 0.77-0.91), surgery 0.80 (0.75-0.86)], readmission [OR: trauma 0.81 (0.74-0.88), surgery 0.71 (0.65-0.76)], and failure to discharge home [OR: trauma 0.82 [0.74-0.91], surgery 0.66 [0.60-0.72]). SNFs with greater density of specialty patients (>4.3% surgery, >14.1% trauma) had lower odds of readmission [OR: trauma 0.59 (0.53-0.66), surgery 0.62 (0.58-0.67)] and failure to discharge home [OR: trauma 0.48 (0.43-0.55), surgery 0.45 (0.42-0.49)].

CONCLUSIONS

There are modifiable SNF-level factors that influence long-term outcomes and may be targets for intervention. Staffing standardization and SNF specialization may reduce variation of quality in post-acute care.

Effect of Geriatric-Specific Trauma Triage Criteria on Outcomes in Injured Older Adults: A Statewide Retrospective Cohort Study

OBJECTIVES

To evaluate the effect on outcomes of the Ohio Department of Public Safety statewide geriatric triage criteria, established in 2009 for emergency medical services (EMS) to use for injured individuals aged 70 and older.

DESIGN

Retrospective cohort study of the Ohio Trauma Registry.

SETTING

All hospitals in Ohio.

PARTICIPANTS

Individuals aged 70 and older in the Ohio Trauma Registry from January 2006 through December 2011, 3 years before and 3 years after criteria adoption (N = 34,499).

MEASUREMENTS

Primary outcomes were in-hospital mortality and discharge to home. Criteria effects were assessed using chi-square tests, multivariable logistic regression, interrupted time series plots, and multivariable segmented regression models.

RESULTS

After geriatric criteria were adopted, the proportion of older adults qualifying for trauma center transport increased from 44% to 58%, but EMS transport rates did not change (44% vs 45%). There was no difference in unadjusted mortality (7.1% vs 6.6%) (P = .10). In adjusted analyses, subjects with an injury severity score (ISS) less than 10 had lower mortality after adoption (3.0% vs 2.5%) (odds ratio (OR) = 0.81, 95% confidence interval (CI) = 0.70-0.95, P = .01). Discharge to home increased after adoption in the adjusted analysis (OR = 1.06, 95% CI = 1.01-1.11, P = .02). There were no time-dependent changes for either outcome.

CONCLUSION

Although the proportion of older adults meeting criteria for trauma center transport substantially increased with geriatric triage criteria, there were no increases in trauma center transports. Adoption of statewide geriatric triage guidelines did not decrease mortality in more severely injured older adults but was associated with slightly lower mortality in individuals with mild injuries (ISS <10) and with more individuals discharged to home. Improving outcomes in injured older adults will require further attention to implementation and use of geriatric-specific criteria.

Computed tomography abbreviated assessment of sarcopenia following trauma: The CAAST measurement predicts 6-month mortality in older adult trauma patients

BACKGROUND

Older adult trauma patients are at increased risk of poor outcome, both immediately after injury and beyond hospital discharge. Identifying patients early in the hospital stay who are at increased risk of death after discharge can be challenging.

METHODS

Retrospective analysis was performed using our trauma registry linked with the social security death index from 2010 to 2014. Age was categorized as 18 to 64 and 65 years or older. We calculated mortality rates by age category then selected elderly patients with mechanism of injury being a fall for further analysis. Computed Tomography Abbreviated Assessment of Sarcopenia for Trauma (CAAST) was obtained by measuring psoas muscle cross-sectional area adjusted for height and weight. Kaplan-Meier survival analysis was performed, and proportional hazards regression modeling was used to determine independent risk factors for in-hospital and out-of-hospital mortality.

RESULTS

A total of 23,622 patients were analyzed (16,748, aged 18-64 years; and 6,874, aged 65 or older). In-hospital mortality was 1.96% for ages 18 to 64 and 7.19% for age 65 or older (p < 0.001); postdischarge 6-month mortality was 1.1% for ages 18 to 64 and 12.86% for age 65 or older (p < 0.001). Predictors of in-hospital and postdischarge mortality for ages 18 to 64 and in-hospital mortality for ages 65 or older group included injury characteristics such as ISS, admission vitals, and head injury. Predictors of postdischarge mortality for age 65or older included skilled nursing before admission, disposition, and mechanism of injury being a fall. A total of 57.5% (n = 256) of older patients who sustained a fall met criteria for sarcopenia. Sarcopenia was the strongest predictor of out-of-hospital mortality in this cohort with a hazard ratio of 4.77 (95% confidence interval, 2.71-8.40; p < 0.001).

CONCLUSION

Out of hospital does not assure out of danger for the elderly. Sarcopenia is a strong predictor of 6-month postdischarge mortality for older adults. The CAAST measurement is an efficient and inexpensive measure that can allow clinicians to target older trauma patients at risk of poor outcome for early intervention and/or palliative care services.

LEVEL OF EVIDENCE

Prognostic and epidemiologic study, level III.

Causes of excessive late death after trauma compared with a matched control cohort

BACKGROUND

Studies on mortality following trauma have been restricted mainly to in-hospital or 30-day death. Mortality risk may be sustained several years after trauma, but the causes of late death have not been elucidated. The aim was to investigate mortality and analyse causes of late death after trauma.

METHODS

All injured patients from a regional trauma registry with long-term follow-up were matched in a 1 : 5 ratio with uninjured controls by age, sex and municipality. By linkage to national registries, long-term mortality, causes of death and co-morbidity status were identified. Excess mortality was examined by calculating the all-cause mortality rate ratio (MRR).

RESULTS

Among the trauma cohort of 7382 patients, 662 (9·0 per cent) died within 3 years after the index trauma; the 30-day mortality rate was 5·0 per cent. Compared with the control group (36 759 individuals), there was a sustained increase in mortality up to 3 years after trauma; the MRR was 2·88 (95 per cent c.i. 2·37 to 3·50) for days 31-365, 1·59 (1·24 to 2·04) for years 1-2 and 1·43 (1·06 to 1·92) for years 2-3. External causes, including new trauma, were far more common causes of late death in injured patients than in matched controls.

CONCLUSION

Postinjury mortality is increased for several years after trauma. Excess mortality is largely attributed to recurrent trauma and other external causes of death.

Outcomes of Patients Discharged to Skilled Nursing Facilities After Acute Care Hospitalizations

OBJECTIVES

To evaluate previously independent older patients discharged to skilled nursing facilities (SNFs) and identify risk factors for failure to return home and death and development of a predictive tool to determine likelihood of adverse outcome.

BACKGROUND

Little is known about the likelihood of return to home, and higher than expected mortality rates in SNFs have recently been described, which may represent an opportunity for quality improvement.

METHODS

Retrospective cohort of older hospitalized patients discharged to SNFs during 2007 to 2009 in 5 states using Centers for Medicare & Medicaid Services linked minimum data set data from SNFs. We assessed mortality, hospital readmission, discharge to home, and logistic regression models for predicting risk of each outcome.

RESULTS

Of 416,997 patients, 3.8% died during the initial SNF stay, 28.6% required readmission, and 60.5% were ultimately discharged home. Readmission to a hospital was the strongest predictor of death in the years after SNF admission (unadjusted hazard ratio, 28.2; 95% confidence interval, 27.2-29.3; P < 0.001). Among all patients discharged to SNFs, 7.8% eventually died in an SNF and overall 1-year mortality was 26.1%. Risk factors associated with mortality and failure to return home were increasing age, male sex, increasing comorbidities, decreased cognitive function, decreased functional status, parenteral nutrition, and pressure ulcers.

CONCLUSIONS

A large proportion of older patients discharging to SNFs never return home. A better understanding of the natural history of patients sent to SNFs after hospitalization and risk factors for failure to return to home, readmission, and death should help identify opportunities for interventions to improved outcome.

The differential associations of preexisting conditions with trauma-related outcomes in the presence of competing risks

INTRODUCTION

Pre-existing chronic conditions (PECs) pose a unique problem for the care of aging trauma populations. However, the relationships between specific conditions and outcomes after injury are relatively unknown. Evaluation of trauma patients is further complicated by their discharge to care facilities, where mortality risk remains high. Traditional approaches for evaluating in-hospital mortality do not account for the discharge of at-risk patients, which constitutes a competing risk event to death. The objective of this study was to evaluate associations between 40 PECs and two clinical outcomes in the context of competing risks among older trauma patients.

METHODS

This retrospective study evaluated blunt-injured patients aged 55 years and older admitted to a level I trauma centre in 2006-2012. Outcomes were hospital length of stay (HLOS) and in-hospital mortality. Survivors were classified as discharges home or discharges to care facilities. Competing risks regression was used to evaluate each PEC with in-hospital mortality, accounting for discharges to care facilities as competing events. Competing risk estimates were compared to Cox model estimates, for which all survivors to discharge were non-events. Analyses were stratified using injury-based mortality risk at a 50% cutpoint (high versus low).

RESULTS

Among 4653 patients, 176 died in-hospital, 3059 were discharged home, and 1418 were discharged to a care facility. Most patients (98%) were classified with a low mortality risk. Only haemophilia and coagulopathy were consistently associated with longer HLOS. In the low-risk subgroup, in-hospital mortality was most strongly associated with liver diseases, haemophilia, and coagulopathy. In the high-risk group, Parkinson's disease, depression, and cancers showed the strongest associations. Accounting for the competing event altered estimates for 12 of 19 significant conditions.

CONCLUSIONS

Excess mortality among patients expected to survive their injuries may be attributable to complications resulting from PECs. Discharges to care facilities constitute a bias in the evaluation of in-hospital mortality and should be considered for the accurate calculation of risk. In conjunction with injury measures, consideration of PECs provides physicians with a foundation to plan clinical decisions in older trauma patients.

Discovering the truth about life after discharge: Long-term trauma-related mortality

BACKGROUND

Outcome after traumatic injury has typically been limited to the determination at time of discharge or brief follow-up. This study investigates the natural history of long-term survival after trauma.

METHODS

All highest-level activation patients prospectively enrolled in an ongoing cohort study from 2005 to 2012 were selected. To allow for long-term follow-up, patients had to be enrolled at least 1 year before the latest available data from the National Death Index (NDI, 2013). Time and cause of mortality was determined based on death certificates. Survival status was determined by the latest date of either care in our institution or NDI query. Kaplan-Meier curves were created stratified for Injury Severity Score (ISS). Survival was compared with estimated actuarial survival based on age, sex, and race.

RESULTS

A total of 908 highest-level activation patients (median ISS, 18) were followed up for a median 1.7 years (interquartile range 1.0-2.9; maximum, 9.8 years). Survival data were available on 99.8%. Overall survival was 73% (663 of 908). For those with at least 2-year follow-up, survival was only 62% (317 of 509). Severity of injury predicted long-term survival (p < 0.0001) with those having ISS of 25 or greater with the poorest outcome (57% survival at 5 years). For all ISS groups, survival was worse than predicted actuarial survival (p < 0.001). When excluding early deaths (≤30 days), observed survival was still significantly lower than estimated actuarial survival (p < 0.002). Eighteen percent (44 of 245 deaths) of all deaths occurred after 30 days. Among late deaths, 53% occurred between 31 days and 1 year after trauma. Trauma-related mortality was the leading cause of postdischarge death, accounting for 43% of the late deaths.

CONCLUSION

Postdischarge deaths represent a significant percentage of total trauma-related mortality. Despite having "survived" to leave the hospital, long-term survival was worse than predicted actuarial survival, suggesting that the mortality from injury does not end at "successful" hospital discharge.

LEVEL OF EVIDENCE

Prognostic study, level III.

Census-based socioeconomic indicators for monitoring injury causes in the USA: a review

BACKGROUND

Unlike the UK or New Zealand, there is no standard set of census variables in the USA for characterising socioeconomic (SES, socioeconomic status) inequalities in health outcomes, including injury. We systematically reviewed existing US studies to identify conceptual and methodological strengths and limitations of current approaches to determine those most suitable for research and surveillance.

METHODS

We searched seven electronic databases to identify census variables proposed in the peer-reviewed literature to monitor injury risk. Inclusion criteria were that numerator data were derived from hospital, trauma or vital statistics registries and that exposure variables included census SES constructs.

RESULTS

From 33 eligible studies, we identified 70 different census constructs for monitoring injury risk. Of these, fewer than half were replicated by other studies or against other causes, making the majority of studies non-comparable. When evaluated for a statistically significant relationship with a cause of injury, 74% of all constructs were predictive of injury risk when assessed in pairwise comparisons, whereas 98% of all constructs were significant when aggregated into composite indices. Fewer than 30% of studies selected SES constructs based on known associations with injury risk.

CONCLUSIONS

There is heterogeneity in the conceptual and methodological approaches for using census data for monitoring injury risk as well as in the recommendations as to how these constructs can be used for injury prevention. We recommend four priority areas for research to facilitate a more unified approach towards use of the census for monitoring socioeconomic inequalities in injury risk.

Quadrimodal distribution of death after trauma suggests that critical injury is a potentially terminal disease

BACKGROUND

Patterns of death after trauma are changing due to advances in critical care. We examined mortality in critically injured patients who survived index hospitalization.

METHODS

Retrospective analysis of adults admitted to a Level-1 trauma center (1/1/2000-12/31/2010) with critical injury was conducted comparing patient characteristics, injury, and resource utilization between those who died during follow-up and survivors.

RESULTS

Of 1,695 critically injured patients, 1,135 (67.0%) were discharged alive. As of 5/1/2012, 977/1,135 (86.0%) remained alive; 75/158 (47.5%) patients who died during follow-up, died in the first year. Patients who died had longer hospital stays (24 vs. 17 days) and ICU LOS (17 vs. 8 days), were more likely to undergo tracheostomies (36% vs. 16%) and gastrostomies (39% vs. 16%) and to be discharged to rehabilitation (76% vs. 63%) or skilled nursing (13% vs. 5.8%) facilities than survivors. In multivariable models, male sex, older age, and longer ICU LOS predicted mortality. Patients with ICU LOS >16 days had 1.66 odds of 1-year mortality vs. those with shorter ICU stays.

CONCLUSIONS

ICU LOS during index hospitalization is associated with post-discharge mortality. Patients with prolonged ICU stays after surviving critical injury may benefit from detailed discussions about goals of care after discharge.

Risk factors for unplanned readmissions in older adult trauma patients in Washington State: a competing risk analysis

BACKGROUND

Hospital readmission is a significant contributor to increasing health care use related to caring for older trauma patients. This study was undertaken with the following aims: determine the proportion of older adult trauma patients who experience unplanned readmission, as well as risk factors for these readmissions and identify the most common readmission diagnoses among these patients.

STUDY DESIGN

We conducted a retrospective cohort study of trauma patients age 55 years and older who survived their hospitalization at a statewide trauma center between 2009 and 2010. Linking 3 statewide databases, nonelective readmission rates were calculated for 30 days, 6 months, and 1 year after index discharge. Competing risk regression was used to determine risk factors for readmission and account for the competing risk of dying without first being readmitted. Subhazard ratios (SHR) are reported, indicating the relative risk of readmission by 30 days, 6 months, and 1 year.

RESULTS

The cumulative readmission rates for the 14,536 participants were 7.9%, 18.9%, and 25.2% at 30 days, 6 months, and 1 year, respectively. In multivariable models, the strongest risk factors for readmission at 1 year (based on magnitude of SHR) were severe head injury (adjusted SHR = 1.47; 95% CI, 1.24-1.73) and disposition to a skilled nursing facility (SHR = 1.54; 95% CI, 1.39-1.71). The diagnoses most commonly associated with readmission were atrial fibrillation, anemia, and congestive heart failure.

CONCLUSIONS

In this statewide study, unplanned readmissions after older adult trauma occurred frequently up to 1 year after discharge, particularly for patients who sustained severe head trauma and who could not be discharged home independently. Examining common readmission diagnoses might inform the development of interventions to prevent unplanned readmissions.

Structure, process, and outcomes in skilled nursing facilities: understanding what happens to surgical patients when they cannot go home. A systematic review

BACKGROUND

The surgical population is aging, and greater numbers of surgical patients are being discharged to skilled nursing facilities. Post-acute care is a poorly understood but very important aspect of our healthcare system.

METHODS

This systematic review examines the current body of literature surrounding the structural, process of care, and outcomes measurements for patients in skilled nursing facilities. English language articles published between 1998 and 2011 that purposed to examine nursing facility structure, process of care, and/or outcomes were included.

RESULTS & CONCLUSIONS

Abstracts (2129) were screened and 102 articles were reviewed in full. Twenty-nine articles were included in the qualitative synthesis. The role of the care setting and care delivery in contributing to outcomes has not been well studied, and no strong conclusions can be made. This area of care currently represents a "black box" to practicing surgeons. An understanding of these factors maybe instrumental to determining future directions for research to maximize positive outcomes for these patients.

Long-term mortality after admission to hospital for trauma: A review

Trauma is associated with significant acute morbidity and mortality. However, advances in the delivery of trauma care have resulted in considerable improvements in the short-term mortality from trauma. Recent studies have shown that survivors of trauma are at significant risk of delayed long-term mortality that is above that expected for a similar uninjured cohort of patients. Few studies have provided a detailed analysis of the determinants of this increased risk of death, and even fewer publications have examined the causes of death in these patients. This information is relevant because an increased number of patients will survive their injuries as acute trauma care continues to improve. It may also highlight opportunities for interventions that reduce the risk of delayed death in a population of patients that is generally young and healthy at the time of injury. As such, this article will review the literature on the long-term mortality rate and its determinants among patients who are hospitalized for severe injuries.

Timing and causes of death after injuries

Currently, long-term outcomes are significant because health care system changes will likely lead to a single payment for each occurrence of care, including readmissions-the "bundled payment" system. Therefore, it is essential to understand the outcomes of trauma patients discharged alive from trauma centers. This article reviews the current knowledge base on the timing and causes of deaths after trauma. The trimodal mortality model (immediate deaths, early deaths, and late deaths) is utilized as the early research describing trimodal distribution is discussed. Also covered is the successive work as trauma systems matured, showing a shift toward a bimodal distribution with a decline in late deaths. Finally, studies of long-term outcomes are highlighted. Deaths occurring within minutes or a few hours of injury are largely unchanged, which underscores the enormity of injuries to the central nervous and cardiovascular systems. Late deaths caused by multiple organ failure and sepsis have declined considerably, however. Also, the causes of death in this patient population remain constant. Lastly, a considerable number of deaths after discharge may be due to nontraumatic causes.

Continued rationale of why hospital mortality is not an appropriate measure of trauma outcomes

BACKGROUND

We hypothesized that standardized withdrawal of care (WOC) practices and an aggressive long-term acute care facility (LTAC) discharge protocol could change hospital mortality and national ranking among trauma centers.

STUDY DESIGN

Patients who died while admitted to the trauma service at a level 1 trauma center were classified as either an "LTAC candidate" or "not a LTAC candidate" at 4 time points before death.

RESULTS

A total of 216 patients died, and 48% had WOC. Hospital mortality was 3.3%. More than 26% of these qualified as LTAC candidates. The aggressive LTAC discharge protocol reduced hospital mortality by .9%. This was sufficient to move a trauma center into a lower quartile on the National Trauma DataBank benchmark report for 2009.

CONCLUSIONS

[corrected] It is possible to reduce hospital mortality and improve quality ranking with standardized WOC and LTAC discharge protocols. This highlights the importance of measuring outcomes beyond discharge.

Trauma registries: history, logistics, limitations, and contributions to emergency medicine research

Trauma registries have been designed to serve a number of purposes, including quality improvement, injury prevention, clinical research, and policy development. Since their inception over 30 years ago, there are increasingly more institutions with trauma registries, many of which submit data to a national trauma registry. The goal of this review is to describe the history, logistics, and characteristics of trauma registries and their contribution to emergency medicine and trauma research. Discussed in this review are the limitations of trauma registries, such as variability in quality and type of the collected data, absence of data pertaining to long-term and functional outcomes, prehospital information, and complications as well as other methodologic obstacles limiting the utility of registry data in clinical and epidemiologic research.

Blood product ratio in acute traumatic coagulopathy--effect on mortality in a Scandinavian level 1 trauma centre

Background

Trauma is the leading cause of loss of life expectancy worldwide. In the most seriously injured patients, coagulopathy is often present on admission. Therefore, transfusion strategies to increase the ratio of plasma (FFP) and platelets (PLT) to red blood cells (RBC), simulating whole blood, have been introduced. Several studies report that higher ratios improve survival in massively bleeding patients. Here, the aim was to investigate the potential effect of increased FFP and PLT to RBC on mortality in trauma patients.

Methods

In a retrospective before and after study, all trauma patients primarily admitted to a level-one Trauma Centre, receiving blood transfusion, in 2001-3 (n = 97) and 2005-7 (n = 156), were included. In 2001-3, FFP and PLT were administered in accordance with the American Society of Anesthesiologists (ASA) guidelines whereas in 2005-7, Hemostatic Control Resuscitation (HCR) entailing pre-emptive use of FFP and PLT in transfusion packages during uncontrolled haemorrhage and thereafter guided by thrombelastograph (TEG) analysis was employed. The effect of transfusion therapy and coagulopathy on mortality was investigated.

Results

Patients included in the early and late period had comparable demography, injury severity score (ISS), admission hematology and coagulopathy (27% vs. 34% had APTT above normal). There was a significant change in blood transfusion practice with shorter time interval from admission to first transfusion (median time 3 min vs.28 min in massive bleeders, p < 0.001), transfusion of higher ratios of FFP:RBC, PLT:RBC and PLT:FFP in the HCR group but 30-day mortality remained comparable in the two periods. In the 2005-7 period, higher age, ISS and Activated Partial Thromboplastin Time (APTT) above normal were independent predictors of mortality whereas no association was fund between blood product ratios and mortality.

Conclusion

Aggressive administration of FFP and PLT did not influence mortality in the present trauma population.