End-of-Life Care in Older Patients After Serious or Severe Traumatic Brain Injury in Low-Mortality Hospitals Compared With All Other Hospitals

Mortality and discharge disposition among older adults with moderate to severe traumatic brain injury

PURPOSE

This study examined the research on older adults with a moderate to severe traumatic brain injury (TBI), with a focus on mortality and discharge disposition.

METHOD

Systematic searches were conducted in MEDLINE, CINAHL, EMBASE and PsycINFO for studies up to April 2022 in accordance with PRISMA guidelines.

RESULTS

64 studies, published from 1992 to 2022, met the inclusion criteria. Mortality was higher for older adults ≥60 years old than for their younger counterparts; with a dramatic increase for those ≥80 yr, with rates as high as 93 %. Similar findings were reported regarding mortality in intensive care, surgical mortality, and mortality post-hospital discharge; with an 80 % rate at 1-year post-discharge. Up to 68.4 % of older adults were discharged home; when compared to younger adults, those ≥65 years were less likely to be discharged home (50-51 %), compared to those <64 years (77 %). Older adults were also more likely to be discharged to long-term care (up to 31.6 %), skilled nursing facilities (up to 46.1 %), inpatient rehabilitation (up to 26.9 %), and palliative or hospice care (up to 58 %).

CONCLUSION

Given their vulnerability, optimizing outcomes for older adults with moderate-severe TBI across the healthcare continuum is critical.

Hospice and palliative care utilization in 16 004 232 medicare claims: comparing trauma to surgical and medical inpatients

Background

Hospice and palliative care (PC) utilization is increasing in geriatric inpatients, but limited research exists comparing rates among trauma, surgical and medical specialties. The goal of this study was to determine whether there are differences among these three groups in rates of hospice and PC utilization.

Methods

Patients from Centers for Medicare & Medicaid Services (CMS) Inpatient Standard Analytical Files for 2016-2020 aged ≥65 years were analyzed. Patients with a National Trauma Data Standard-qualifying ICD-10 injury code with abbreviated injury score ≥2 were classified as 'trauma'; the rest as 'surgical' or 'medical' using CMS MS-DRG definitions. Patients were classified as having PC if they had an ICD-10 diagnosis code for PC (Z51.5) and as hospice discharge (HD) if their hospital disposition was 'hospice' (home or inpatient). Use proportions for specialties were compared by group and by subgroups with increasing risk of poor outcome.

Results

There were 16M hospitalizations from 1024 hospitals (9.3% trauma, 26.3% surgical and 64.4% medical) with 53.7% women, 84.5% white and 38.7% >80 years. Overall, 6.2% received PC and 4.1% a HD. Both rates were higher in trauma patients (HD: 3.6%, PC: 6.3%) versus surgical patients (HD: 1.5%, PC: 3.0%), but lower than in medical patients (HD: 5.2%, PC: 7.5%). PC rates increased in higher risk patient subgroups and were highest for inpatient HD.

Conclusions

In this large study of Medicare patients, HD and PC rates varied significantly among specialties. Trauma patients had higher HD and PC utilization rates than surgical, but lower than medical. The presence of comorbidities, frailty and/or severe traumatic brain injury (in addition to advanced age) may be valuable criteria in selection of trauma patients for hospice and PC services. Further studies are needed to inform the most efficient use of hospice and PC resources, with particular focus on both timing and selection of subgroups most likely to benefit from these valuable yet limited resources.

Level of evidence

Level III, therapeutic/care management.

Prognosis at Your Fingertips: A Machine Learning-Based Web Application for Outcome Prediction in Acute Traumatic Epidural Hematoma

Traumatic brain injury (TBI) affects 69 million people worldwide each year, and acute traumatic epidural hematoma (atEDH) is a frequent and severe consequence of TBI. The aim of the study is to use machine learning (ML) algorithms to predict in-hospital death, non-home discharges, prolonged length of stay (LOS), prolonged length of intensive care unit stay (ICU-LOS), and major complications in patients with atEDH and incorporate the resulting ML models into a user-friendly web application for use in the clinical settings. The American College of Surgeons (ACS) Trauma Quality Program (TQP) database was used to identify patients with atEDH. Four ML algorithms (XGBoost, LightGBM, CatBoost, and Random Forest) were utilized, and the best performing models were incorporated into an open-access web application to predict the outcomes of interest. The study found that the ML algorithms had high area under the receiver operating characteristic curve (AUROC) values in predicting outcomes for patients with atEDH. In particular, the algorithms had an AUROC value range of between 0.874 to 0.956 for in-hospital mortality, 0.776 to 0.798 for non-home discharges, 0.737 to 0.758 for prolonged LOS, 0.712 to 0.774 for prolonged ICU-LOS, and 0.674 to 0.733 for major complications. The following link will take users to the open-access web application designed to generate predictions for individual patients based on their characteristics: huggingface.co/spaces/MSHS-Neurosurgery-Research/TQP-atEDH. This study aimed to improve the prognostication of patients with atEDH using ML algorithms and developed a web application for easy integration in clinical practice. It found that ML algorithms can aid in risk stratification and have significant potential for predicting in-hospital outcomes. Results demonstrated excellent performance for predicting in-hospital death and fair performance for non-home discharges, prolonged LOS and ICU-LOS, and poor performance for major complications.

Association Between Race and Receipt of Home- and Community-Based Rehabilitation After Traumatic Brain Injury Among Older Medicare Beneficiaries

Importance

Non-Hispanic Black (hereafter Black) patients with traumatic brain injury (TBI) experience worse long-term outcomes and residual disability compared with non-Hispanic White (hereafter White) patients. Receipt of appropriate rehabilitation can improve function among older adults after TBI.

Objective

To assess the association between race and receipt of home- and community-based rehabilitation among a nationally representative sample of older Medicare beneficiaries with TBI.

Design, Setting, and Participants

This cohort study analyzed a random sample of Medicare administrative claims data for community-dwelling Medicare beneficiaries aged 65 years or older who were hospitalized with a primary diagnosis of TBI and discharged alive to a nonhospice setting from 2010 through 2018. Claims data for Medicare beneficiaries of other races and ethnicities were excluded due to the small sample sizes within each category. Data were analyzed January 21 to August 30, 2022.

Exposures

Black or White race.

Main Outcomes and Measures

Monthly use rates of home-based or outpatient rehabilitation were calculated over the 6 months after discharge from the hospital. The denominator for rate calculations accounted for variation in length of hospital and rehabilitation facility stays and loss to follow-up due to death. Rates over time were modeled using generalized estimating equations, controlling for TBI acuity, demographic characteristics, comorbidities, and socioeconomic factors.

Results

Among 19 026 Medicare beneficiaries (mean [SD] age, 81.6 [8.1] years; 10 781 women [56.7%]; and 994 Black beneficiaries [5.2%] and 18 032 White beneficiaries [94.8%]), receipt of 1 or more home health rehabilitation visits did not differ by race (Black vs White, 47.4% vs 46.2%; P = .46), but Black beneficiaries were less likely to receive 1 or more outpatient rehabilitation visits compared with White beneficiaries (3.4% vs 7.1%; P < .001). In fully adjusted regression models, Black beneficiaries received less outpatient therapy over the 6 months after TBI (rate ratio, 0.60; 95% CI, 0.38-0.93). However, Black beneficiaries received more home health rehabilitation therapy over the 6 months after TBI than White beneficiaries (rate ratio, 1.15; 95% CI, 1.00-1.32).

Conclusions and Relevance

This cohort study found relative shifts in rehabilitation use, with markedly lower outpatient therapy use and modestly higher home health care use among Black patients compared with White patients with TBI. These disparities may contribute to reduced functional recovery and residual disability among racial and ethnic minority groups. Additional studies are needed to assess the association between the amount of outpatient rehabilitation care and functional recovery after TBI in socioeconomically disadvantaged populations.

Adherence to the TQIP Palliative Care Guidelines Among Patients With Serious Illness at a Level I Trauma Center in the US

Importance

The American College of Surgeons Trauma Quality Improvement Program (TQIP) guidelines encourage trauma service clinicians to deliver palliative care in parallel with life-sustaining treatment and recommend goals of care (GOC) discussions within 72 hours of admission for patients with serious illness.

Objective

To measure adherence to TQIP guidelines-recommended GOC discussions for trauma patients with serious illness, treated at a level I trauma center in the US.

Design, Setting, and Participants

This retrospective cohort study included 674 adults admitted to a trauma service center for 3 or more days between December 2019 and June 2020. The medical records of 486 patients who met the criteria for serious illness using a consensus definition adapted to the National Trauma Data Bank were reviewed for the presence of a GOC discussion. Patients were divided into 2 cohorts based on admission before or after the guidelines were incorporated into the institutional practice guidelines on March 1, 2020.

Main Outcomes and Measures

The primary outcomes were GOC completion within 72 hours of admission and during the overall hospitalization. Patient and clinical factors associated with GOC completion were assessed. Other palliative care processes measured included palliative care consultation, prior advance care planning document, and do-not-resuscitate code status. Additional end-of-life processes (ie, comfort care and inpatient hospice) were measured in a subset with inpatient mortality.

Results

Of 674 patients meeting the review criteria, 486 (72.1%) met at least 1 definition of serious illness (mean [SD] age, 60.9 [21.3] years; mean [SD] Injury Severity Score, 16.9 [12.3]). Of these patients, 328 (67.5%) were male and 266 (54.7%) were White. Among the seriously ill patients, 92 (18.9%) had evidence of GOC completion within 72 hours of admission and 124 (25.5%) during the overall hospitalization. No differences were observed between patients admitted before and after institutional guideline publication in GOC completion within 72 hours (19.0% [47 of 248 patients] vs 18.9% [45 of 238]; P = .99) or during the overall hospitalization (26.2% [65 of 248 patients] vs 24.8% [59 of 238]; P = .72). After adjusting for age, GOC completion was found to be associated with the presence of mechanical ventilation (odds ratio [OR], 6.42; 95% CI, 3.49-11.81) and meeting multiple serious illness criteria (OR, 4.07; 95% CI, 2.25-7.38).

Conclusions and Relevance

The findings of this cohort study suggest that, despite the presence of national guidelines, GOC discussions for patients with serious illness were documented infrequently. This study suggests a need for system-level interventions to ensure best practices and may inform strategies to measure and improve trauma service quality in palliative care.

Palliative Care Consultations in Patients with Severe Traumatic Brain Injury: Who Receives Palliative Care Consultations and What Does that Mean for Utilization?

BACKGROUND

Palliative care has the potential to improve goal-concordant care in severe traumatic brain injury (sTBI). Our primary objective was to illuminate the demographic profiles of patients with sTBI who receive palliative care encounters (PCEs), with an emphasis on the role of race. Secondary objectives were to analyze PCE usage over time and compare health care resource utilization between patients with or without PCEs.

METHODS

The National Inpatient Sample database was queried for patients age  ≥  18 who had a diagnosis of sTBI, defined by using International Classification of Diseases, 9th Revision codes. PCEs were defined by using International Classification of Diseases, 9th Revision code V66.7 and trended from 2001 to 2015. To assess factors associated with PCE in patients with sTBI, we performed unweighted generalized estimating equations regression. PCE association with decision making was modeled via its effect on rate of percutaneous endoscopic gastrostomy (PEG) tube placement. To quantify differences in PCE-related decisions by race, race was modeled as an effect modifier.

RESULTS

From 2001 to 2015, the proportion of palliative care usage in patients with sTBI increased from 1.5 to 36.3%, with 41.6% White, 22.3% Black, and 25% Hispanic patients with sTBI having a palliative care consultation in 2015, respectively. From 2008 to 2015, we identified 17,673 sTBI admissions. White and affluent patients were more likely to have a PCE than Black, Hispanic, and low socioeconomic status patients. Across all races, patients receiving a PCE resulted in a lower rate of PEG tube placement; however, White patients exhibited a larger reduction of PEG tube placement than Black patients. Patients using palliative care had lower total hospital costs (median $16,368 vs. $26,442, respectively).

CONCLUSIONS

Palliative care usage for sTBI has increased dramatically this century and it reduces resource utilization. This is true across races, however, its usage rate and associated effect on decision making are race-dependent, with White patients receiving more PCE and being more likely to decline the use of a PEG tube if they have had a PCE.

Traumatic brain injury in the elderly population: a 20-year experience in a tertiary neurosurgery center in Belgium

PURPOSE

Traumatic brain injury (TBI) rates in the elderly population are rapidly increasing worldwide. However, there are no clinical guidelines for the treatment of elderly TBI to date. This study aims at describing injury patterns and severity, clinical management, and outcomes in elderly TBI patients, which may contribute to specific prognostic tools and clinical guidelines in the future.

METHODS

Clinical records of 2999 TBI patients ≥ 65 years old admitted in the University Hospital Leuven (Belgium) between 1999 and 2019 were manually screened and 1480 cases could be included. Records were scrutinized for relevant clinical data.

RESULTS

The median age in the cohort was 78.0 years (IQR = 12). Falls represented the main accident mechanism (79.7%). The median Glasgow Coma Score on admission was 15 (range 3-15). Subdural hematomas were the most common lesion (28.4%). 90.1% of all patients were hospitalized and 27.0% were admitted to intensive care. 16.4% underwent a neurosurgical intervention. 11.0% of all patients died within 30 days post-TBI. Among the 521 patients with mild TBI, 28.6% were admitted to ICU and 13.1% had a neurosurgical intervention and 30-day mortality was 6.9%.

CONCLUSION

Over the 20-year study period, an increase of age and comorbidities and a reduction in neurosurgical interventions and ICU admissions were observed, along with a trend to less severe injuries but a higher proportion of treatment withdrawals, while at the same time mortality rates decreased. TBI is a life-changing event, leading to severe consequences in the elderly population, especially at higher ages. Even mild TBI is associated with substantial rates of hospitalization, surgery, and mortality in elderly. The characteristics of the elderly population with TBI are subject to changes over time.

Developing a measure of overall intensity of injury care: A latent class analysis

BACKGROUND

While injury is a leading cause of death and debility in older adults, the relationship between intensity of care and trauma remains unknown. The focus of this analysis is to measure the overall intensity of care delivered to injured older adults during hospitalization.

METHODS

We used Centers for Medicare and Medicaid Services Medicare fee-for-service claims data (2013-2014), to identify emergency department-based claims for moderate and severe blunt trauma in age-eligible beneficiaries. Medical procedures associated with care intensity were identified using a modified Delphi method. A latent class model was estimated using the identified procedures, intensive care unit length of stay, demographics, and injury characteristics. Clinical phenotypes for each class were explored.

RESULTS

A total of 683,398 cases were classified as low- (73%), moderate- (23%), and high-intensity care (4%). Greater age and reduced injury severity were indicators of lower intensity, while males, non-Whites, and nonfall mechanisms were more common with high intensity. Intubation/mechanical ventilation was an indicator of high intensity and often occurred with at least one other procedure or an extended intensive care unit stay.

CONCLUSION

This work demonstrates that, although heterogeneous, care for blunt trauma can be evaluated using a single novel measure.

LEVEL OF EVIDENCE

For prognostic/epidemiological studies, level III.

OCTOGENARIAN' SURVIVAL AFTER NEUROSURGICAL PROCEDURES FOLLOWING SEVERE HEAD TRAUMA

BACKGROUND

Fall is a common phenomenon in advanced age and can result in severe traumatic brain injury (TBI). The purpose of the study is to find the survival benefit from aggressive operative intervention.

METHOD

Trauma quality improvement program (TQIP) database of 2013-2016 was accessed for the study. All patients 80 -89 years old and who sustained severe TBI with Glasgow Coma Scale (GCS) ≤8 and brain Abbreviated Injury Scale (AIS) score ≥3 and underwent operative intervention, craniotomy or craniectomy, were included in the study. Patients were divided into two groups, survivors and deceased, were compared on characteristics, injury severity score (ISS), types of intracranial hemorrhage and comorbidities. Multivariable logistic regression analysis was performed to find the factors associated with survival. A receiving operative characteristic (ROC) curve was created to test the model and area under the curve (AUC) was calculated.

RESULTS

Out of 1266 patients who qualified for the study, only 477 (37.68%) patients survived. Lower ISS, higher GCS and no history of coagulopathy had higher chances of survival. Operative intervention in epidural hematoma (EDH), brain contusion and Subdural hematoma (SDH) were associated with 3.5, 2.25 and 1.86 odds of survival respectively. Procedure type, craniectomy or craniotomy did not impact the outcome. The AUC was 0.723 [95% CI: 0.694-0.752] CONCLUSION: The octogenarians who underwent craniotomy or craniectomy for severe TBI following a fall had very high mortality. Lower ISS, higher GCS and no history of coagulopathy, and evacuation of SDH, EDH, brain contusion found to have higher probability of survival.

Research Needs for Prognostic Modeling and Trajectory Analysis in Patients with Disorders of Consciousness

BACKGROUND

The current state of the science regarding the care and prognosis of patients with disorders of consciousness is limited. Scientific advances are needed to improve the accuracy, relevance, and approach to prognostication, thereby providing the foundation to develop meaningful and effective interventions.

METHODS

To address this need, an interdisciplinary expert panel was created as part of the Coma Science Working Group of the Neurocritical Care Society Curing Coma Campaign.

RESULTS

The panel performed a gap analysis which identified seven research needs for prognostic modeling and trajectory analysis ("recovery science") in patients with disorders of consciousness: (1) to define the variables that predict outcomes; (2) to define meaningful intermediate outcomes at specific time points for different endotypes; (3) to describe recovery trajectories in the absence of limitations to care; (4) to harness big data and develop analytic methods to prognosticate more accurately; (5) to identify key elements and processes for communicating prognostic uncertainty over time; (6) to identify health care delivery models that facilitate recovery and recovery science; and (7) to advocate for changes in the health care delivery system needed to advance recovery science and implement already-known best practices.

CONCLUSION

This report summarizes the current research available to inform the proposed research needs, articulates key elements within each area, and discusses the goals and advances in recovery science and care anticipated by successfully addressing these needs.

Worse Than Death: Survey of Public Perceptions of Disability Outcomes After Hypothetical Traumatic Brain Injury

OBJECTIVE

The aim of this study was to determine the health utility states of the most commonly used traumatic brain injury (TBI) clinical trial endpoint, the Extended Glasgow Outcome Scale (GOSE).

SUMMARY BACKGROUND DATA

Health utilities represent the strength of one's preferences under conditions of uncertainty. There are insufficient data to indicate how an individual would value levels of disability after a TBI.

METHODS

This was a cross-sectional web-based online convenience sampling adaptive survey. Using a standard gamble approach, participants evaluated their preferences for GOSE health states 1 year after a hypothetical TBI. The categorical GOSE was studied from vegetative state (GOSE2) to upper good recovery (GOSE8). Median (25th percentile, 75th percentile) health utility values for different GOSE states after TBI, ranging from -1 (worse than death) to 1 (full health), with 0 as reference (death).

RESULTS

Of 3508 eligible participants, 3235 (92.22%) completed the survey. Participants rated lower GOSE states as having lower utility, with some states rated as worse than death, though the relationship was nonlinear and intervals were unequal between health states. Over 75% of participants rated a vegetative state (GOSE2, absence of awareness and bedridden) and about 50% rated lower severe disability (GOSE3, housebound needing all-day assistance) as conditions worse than death.

CONCLUSIONS

In the largest investigation of public perceptions about post-TBI disability, we demonstrate unequally rated health states, with some states perceived as worse than death. Although limited by selection bias, these results may guide future comparative-effectiveness research and shared medical decision-making after neurologic injury.

Predictors of Mortality in Traumatic Intracranial Hemorrhage: A National Trauma Data Bank Study

Background/Objective: Traumatic intracranial hemorrhage (tICH) accounts for significant trauma morbidity and mortality. Several studies have developed prognostic models for tICH outcomes, but previous models face limitations, including poor generalizability and limited accuracy. The objective was to develop a prognostic model and determine predictors of mortality using the largest trauma database in the U.S., applying rigorous analytical methodology with true hold-out-set model validation.

Methods: We identified 248,536 patients in the National Trauma Data Bank (NTDB) from 2012 to 2016 with a diagnosis code associated with tICH. For each admission, we collected demographic information, systolic blood pressure, blood alcohol level (BAL), Glasgow Coma Score (GCS), Injury Severity Score (ISS), presence of epidural/subdural/subarachnoid/intraparenchymal hemorrhage, comorbidities, complications, trauma center level, and trauma center region. Our final study population was 212,666 patients following exclusion of records with missing data. The dependent variable was patient death. Linear support vector machine (SVM) classification was carried out with recursive feature selection. Model performance was assessed using holdout 10-fold cross-validation.

Results: Cross-validation demonstrated a mean accuracy of 0.792 (95% CI 0.783–0.799). Accuracy, precision, recall, and AUC were 0.827, 0.309, 0.750, and 0.791, respectively. In the final model, high ISS, advanced age, subdural hemorrhage, and subarachnoid hemorrhage were associated with increased mortality, while high GCS verbal and motor subscores, current smoker, BAL beyond the legal limit, and level 1 trauma center were associated with decreased mortality.

Conclusions: A linear SVM model was developed for tICH, with nine features selected as predictors of mortality. These findings are applicable to multiple hemorrhage subtypes and may benefit the triage of high risk patients upon admission. While many studies have attempted to create models to predict mortality in TBI, we sought to confirm those predictors using modern modeling approaches, machine learning, and true hold-out test sets, using the largest available TBI database in the U.S. We find that while the predictors we identify are consistent with prior reports, overall prediction accuracy is somewhat lower than prior reports when assessed more rigorously.

Surgical decision making in the setting of severe traumatic brain injury: A survey of neurosurgeons

BACKGROUND

Surgical decision-making in severe traumatic brain injury (TBI) is complex. Neurosurgeons weigh risks and benefits of interventions that have the potential to both maximize the chance of recovery and prolong suffering. Inaccurate prognostication can lead to over- or under-estimation of outcomes and influence treatment recommendations.

OBJECTIVE

To evaluate the impact of evidence-based risk estimates on neurosurgeon treatment recommendations and prognostic beliefs in severe TBI.

METHODS

In a survey-based randomized experiment, a total of 139 neurosurgeons were presented with two hypothetical patient with severe TBI and subdural hematoma; the intervention group received additional evidence-based risk estimates for each patient. The main outcome was neurosurgeon treatment recommendation of non-surgical management. Secondary outcomes included prediction of functional recovery at six months.

RESULTS

In the first patient scenario, 22% of neurosurgeons recommended non-surgical management and provision of evidence-based risk estimates increased the propensity to recommend non-surgical treatment (odds ratio [OR]: 2.81, 95% CI: 1.21-6.98; p = 0.02). Neurosurgeon prognostic beliefs of 6-month functional recovery were variable in both control (median 20%, IQR: 10%-40%) and intervention (30% IQR: 10%-50%) groups and neurosurgeons were less likely to recommend non-surgical management when they believed prognosis was favorable (odds ratio [OR] per percentage point increase in 6-month functional recovery: 0.97, 95% confidence interval [CI]: 0.95-0.99). The results for the second patient scenario were qualitatively similar.

CONCLUSIONS

Our findings show that the provision of evidence-based risk predictions can influence neurosurgeon treatment recommendations and prognostication, but the effect is modest and there remains large variability in neurosurgeon prognostication.

Respect your elders: effects of ageing on intracranial pressure monitor use in traumatic brain injury

BACKGROUND

The Brain Trauma Foundation recommends intracranial pressure (ICP) monitor placement for patients with severe traumatic brain injury (TBI). Adherence with these guidelines in elderly patients is unknown. We hypothesized that disparities in ICP monitor placement would exist based on patient age.

METHODS

Using the National Trauma Data Bank (2010-2014), we identified patients admitted for blunt TBI with admission Glasgow Coma Scale (GCS) scores of 3-8. Patients were excluded if they had a non-Head Abbreviated Injury Scale (AIS) score ≥3, hospital length of stay <24 hours or were discharged from the emergency department. Demographic data, ICP monitor placement, GCS, AIS-Head, Injury Severity Score, and outcome measures were collected. Propensity score matching between ICP monitor and non-ICP monitor patients was used for logistic regression and Cox multivariate regression analyses.

RESULTS

Of the 30 710 patients with blunt TBI with GCS scores of 3-8 included in our study, 4093 were treated with an ICP monitor. ICP monitor placement rates significantly decreased with increasing age. Multivariable analysis demonstrated that patients treated with an ICP monitor were more likely to be younger, male, have private/commercial insurance, and receive care at an institution with three or more neurosurgeons.

CONCLUSION

Patients ≥65 years of age with severe blunt TBI are less likely to be treated with an ICP monitor than younger patients. Age disparities in adherence to Brain Trauma Foundation guidelines may alter the outcomes for patients with severe TBI.

LEVEL OF EVIDENCE

Level IV.

The impact of inpatient palliative care on end-of-life care among older trauma patients who die after hospital discharge

BACKGROUND

Palliative care (PC) is associated with lower-intensity treatment and better outcomes at the end of life. Trauma surgeons play a critical role in end-of-life (EOL) care; however, the impact of PC on health care utilization at the end of life has yet to be characterized in older trauma patients.

METHODS

This retrospective cohort study using 2006 to 2011 national Medicare claims included trauma patients 65 years or older who died within 180 days after discharge. The exposure of interest was inpatient PC during the trauma admission. A non-PC control group was developed by exact matching for age, comorbidity, admission year, injury severity, length of stay, and post-discharge survival. We used logistic regression to evaluate six EOL care outcomes: discharge to hospice, rehospitalization, skilled nursing facility or long-term acute care hospital admission, death in an institutional setting, and intensive care unit admission or receipt of life-sustaining treatments during a subsequent hospitalization.

RESULTS

Of 294,665 patients who died within 180 days after discharge, 2.1% received inpatient PC. Among 5,693 matched pairs, inpatient PC was associated with increased odds of discharge to hospice (odds ratio [OR], 3.80; 95% confidence interval [CI], 3.54-4.09) and reduced odds of rehospitalization (OR, 0.17; 95% CI, 0.15-0.20), skilled nursing facility/long-term acute care hospital admission (OR, 0.43; 95% CI, 0.39-0.47), death in an institutional setting (OR, 0.34; 95% CI, 0.30-0.39), subsequent intensive care unit admission (OR, 0.51; 95% CI, 0.36-0.72), or receiving life-sustaining treatments (OR, 0.56; 95% CI, 0.39-0.80).

CONCLUSION

Inpatient PC is associated with lower-intensity and less burdensome EOL care in the geriatric trauma population. Nonetheless, it remains underused among those who die within 6 months after discharge.

LEVEL OF EVIDENCE

Therapeutic/Care management, level III.

Outcome in Patients with Isolated Moderate to Severe Traumatic Brain Injury

Introduction

Traumatic brain injury (TBI) remains a major cause of death. Withdrawal of life-sustaining treatment (WLST) can be initiated if there is little anticipated chance of recovery to an acceptable quality of life. The aim of this study was firstly to investigate WLST rates in patients with moderate to severe isolated TBI and secondly to assess outcome data in the survivor group.

Material and Methods

A retrospective cohort study was performed. Patients aged ≥ 18 years with moderate or severe isolated TBI admitted to the ICU of a single academic hospital between 2011 and 2015 were included. Exclusion criteria were isolated spinal cord injury and referrals to and from other hospitals. Gathered data included demographics, mortality, cause of death, WLST, and Glasgow Outcome Scale (GOS) score after three months. Good functional outcome was defined as GOS > 3.

Results

Of 367 patients, 179 patients were included after applying inclusion and exclusion criteria. 55 died during admission (33%), of whom 45 (82%) after WLST. Patients undergoing WLST were older, had worse neurological performance at presentation, and had more radiological abnormalities than patients without WLST. The decision to withdraw life-sustaining treatment was made on the day of admission in 40% of patients. In 33% of these patients, this decision was made while the patient was in the Emergency Department. 71% of survivors had a good functional outcome after three months. No patient left hospital with an unresponsive wakefulness syndrome (UWS) or suffered from UWS after three months. One patient died within three months of discharge.

Conclusion

In-hospital mortality in isolated brain injured patients was 33%. The vast majority died after a decision to withdraw life-sustaining treatment. None of the patients were discharged with an unresponsive wakefulness syndrome.