Tag Archives: geriatric

The Decision To Stop In Geriatric Trauma – Part 2

In my previous post, I reviewed a recent paper analyzing which geriatric patients were more likely to have care withdrawn after serious injury. The authors noted that those with significant limitations to daily living activities, increasing age and/or frailty, and ventilator dependence were major factors.

Today’s paper was written by a multi-institutional group from several Ohio trauma centers. Like the previous paper, the authors used TQIP data for two of the same three years. Patients were at least 65, and deaths within the first 24 hours were excluded. The authors focused on patient groups with and without injuries that limited activities of daily living, so it dovetails with and further refines the conclusions of the previous paper.

Nearly 600,000 patients were identified, with about 550,000 without and 50,000 patients with injuries limiting activities of daily living. The study used propensity matching to examine 39,138 patients with and without these injuries.

Here are the factoids:

  • Patients with an activity-limiting injury were 3x more likely to have care withdrawn (7.5% vs 2.5%)
  • Several additional factors were discovered that were even more predictive of withdrawal of care:
    • Severe injury (ISS > 25) – 23x more likely
    • Unplanned admission to an ICU – 3.3x more likely
    • In-hospital cardiac arrest – 5x

The authors concluded that even if your patient does not have injuries that might limit their daily activities, it is still important to discuss goals of care with our elderly trauma patients.

Bottom line: These two papers, taken together, are saying the same thing. Injured geriatric patients have a higher mortality than similarly injured younger people. Certain factors are associated with ultimate withdrawal of care, including injuries that limit activities of daily living, increasing age and frailty, and unexpected serious events in the hospital, like cardiac arrest and admission to the ICU.

The point is that injuries limiting daily activities are a predictable factor for withdrawal of care. But this is only a small factor. Other unpredictable events, like cardiac arrest or an issue severe enough to require unexpected ICU admission, may be even more predictive. But unless we have a discussion with the patient and their family well in advance, the opportunity will be missed and may result in unwanted and futile care.

Reference: Are we waiting for the sky to fall? Predictors of withdrawal of
life-sustaining support in older trauma patients: A retrospective analysis. J Trauma 94(3):385-391, 2023.

The Decision To Stop In Geriatric Trauma

Traumatic injury is a continuum ranging from very minor to immediately fatal. The mortality rate along that continuum rises exponentially as the Injury Severity Score (ISS) increases. We long ago moved away from the philosophy of keeping someone alive at all costs to embracing the concept of quality of life. We have become more thoughtful about considering patient and family input in difficult cases.

This occurs more frequently when we treat geriatric patients. The mortality for a given ISS increases even more steeply than in younger patients and continues to accelerate for each decade of life. It is becoming routine to have goals of care discussions with patients and their families in most areas of medicine. Although commonplace in specialties like oncology, it is not as common in trauma care.

Withdrawal of life support is one of the endpoints of these goals of care discussions. However, making such a decision with the patient and/or family is challenging. Too soon, and there may be missed opportunities for recovery. Too late, and the patient and family may be further traumatized by futile or undesired care.

Is it possible to identify the common factors that predict appropriate withdrawal of care? The University of Arizona at Tucson group analyzed the Trauma Quality Improvement Program (TQIP) database on withdrawal of care from 2017-2019. The authors included only patients aged 65 and older. They sought to identify the predictors of care withdrawal. They also calculated their frailty index to gauge its impact on withdrawal decision-making.

Here are the factoids:

  • Over 150K patients were included in the analysis, with a mean age of 77 and predominantly blunt mechanism (97%)
  • About 19% were judged to be frail by applying an 11-variable frailty index
  • About 1 in 10 had withdrawal of support
  • Factors that increased the likelihood of support withdrawal were increasing age (1.4x more likely), frailty (1.4x), impaired activities of daily living (ADLs) (2.6x), and ventilator requirement (13x)
  • There was no difference between Level I and Level II trauma centers
  • Only 9% of patients had an advance directive
  • Interestingly, 19% of patients who had support withdrawn did not die

Bottom line: The authors only attempted to describe what factors were more likely to be present in patients who underwent withdrawal of care. A simple TQIP database analysis does not contain the data necessary to reliably develop suggested criteria. However, this study is very valuable because it offers a possible basic framework.

Age, frailty, ADLs, and vent dependence were the major variables noted. This alone may make the trauma professional more confident in approaching the family in cases where there is no advance directive. Which, unfortunately, is the majority of patients. 

But more importantly, we really need to define when the most appropriate time for the withdrawal discussion to occur. It requires a careful balance between potentially stopping too soon and persisting into futility.

In my next post, I’ll review another paper on this topic, using TQIP data, also published earlier this year. I’ll compare and contrast the results and see if we can get a clearer picture of how to proceed in the challenging cases.

Reference: The final decision among the injured elderly, to stop or to continue? Predictors of withdrawal of life-supporting treatment. J Trauma Acute Care Surg. 2023 Jun 1;94(6):778-783. 

The Medical Orthopaedic Trauma Service

Our population is aging, and falls continue to be a leading cause of injury and morbidity in the elderly. Unfortunately, many elders have significant medical conditions that make them more likely to suffer unfortunate complications from their injuries and the procedures that repair them.

More and more hospitals around the world are applying a more multidisciplinary approach than the traditional model. One example is the Medical Orthopaedic Trauma Service (MOTS) at New York-Presbyterian Hospital/Weill Cornell Medical Center. Any elderly patient who has suffered a fracture is seen in the ED by both an emergency physician and a hospitalist from the MOTS team. Once in the hospital, the hospitalist and orthopaedic surgeon try to determine the reason for the fall, assess for risk factors such as osteoporosis, provide comprehensive medical management, provide pain control, and of course, fix the fracture.

This medical center published a paper looking at their success with this model. They retrospectively reviewed 306 patients with femur fractures involving the greater trochanter. They looked at complications, length of stay, readmission rate and post-discharge mortality. No change in length of stay was noted, but there were significantly fewer complications, specifically catheter associated urinary tract infections and arrhythmias. The readmission rate was somewhat shorter in the MOTS group, but did not quite achieve significance with regression analysis.

Bottom line: This type of multidisciplinary approach to these fragile patients makes sense. Hospitalists, especially those with geriatric experience, can have a significant impact on the safety and outcomes of these patients. But even beyond this, all trauma professionals need to look for and correct the reasons for the fall, not just fix the bones and send our elders home. This responsibility starts in the field with prehospital providers, and continues with hospital through the entire inpatient stay.

Related post:

Reference: The medical orthopaedic service (MOTS): an innovative multidisciplinary team model that decreases in-hospital complications in patients with hip fractures. J Orthopaedic Trauma 26(6):379-383, 2012.

Geriatric Outcome Prediction From The P.A.L.LI.A.T.E Consortium

The continuing rise in geriatric trauma cases seen at trauma centers has necessitated the creation of new infrastructure for evaluating, treating, and assessing outcomes in injured elders. The ability to predict the likely outcome after trauma is extremely important in shaping the management of these patients after discussion with them and their families. Unfortunately, the tools we have for those prognostications are rather complicated, yet rudimentary.

The gold standard to date is TRISS, which combines physiologic data (revised Trauma Score) at the time of first encounter with anatomic injury information (Injury Severity Score). This allows the calculation of a validated probability of survival (Ps).

However, TRISS is unwieldy and frequently cannot be calculated due to missing data. A consortium was created to address these shortcomings. Of course, they chose a name with an unwieldy acronym: Prognostic Assessment of Life and LImitations After Trauma in the Elderly (PALLIATE).

This group developed the Geriatric Trauma Outcome Score (GTOS) in 2015. They recently published a study comparing GTOS with the gold standard TRISS. This could be important since GTOS is easier to calculate, with less opportunity for missing data since it relies only on age, ISS, and presence of blood transfusion.

They calculated outcomes of nearly 11,000 patients at three centers, and found that GTOS worked as well as TRISS. The major advantage was that GTOS requires only three variables:

GTOS = Age + (ISS x 2.5) + (22 if blood transfused in first 24 hours)

Then, just to make your head spin a little more, the GTO score value gets plugged into this logistic model equation:

Bottom line: GTOS is helpful in some ways, but not in others. It does allow calculation of the probability of survival in elderly patients as well as traditional methods, but with more readily available data points. 

However, it is just a probability. It may predict that someone like your patient has a 3% probability of survival, but it cannot tell specifically that your patient is in the 3% vs the 97%. The consortium was trying to make it easier and more objective for clinicians to discuss care plans with family. But this is not really the case. 

And a bigger problem is that it gives us no guidance as to quality of life or level of independence for those patients who will probably survive. These factors are, by far, the most important ones when having those hard discussion with patient and/or family. We still need a tool that will guide us on functional outcomes, not just life or death.

Related posts:

Reference: A comparison of prognosis calculators for geriatric trauma: A P.A.L.LI.A.T.E. consortium study. J Trauma, publish ahead of print DOI: 10.109, 2017.

Geriatric Week 6: Effect Of An In-Hospital Falls Prevention Program

The Centers for Disease Control (CDC) has developed a neatly packaged falls prevention program that clinicians can apply to their elderly patients. Of course, there’s a cute acronym (STEADI = Stopping Elderly Accidents, Deaths, and Injuries), and a lot of slickly packaged reference material. The trauma group at Parkland wondered if the application of this outpatient program on an inpatient population would be helpful.

They looked at elderly patients (age>65) who were admitted for falls. The patients went through STEADI evaluation and interventions, and were compared with a group of historical controls from the prior year.

Here are the factoids:

  • 218 patients went through the STEADI process, and were compared with 194 controls
  • The usual demographics appeared to be the same in both groups
  • The fall rate in-hospital was 4.1% for both groups (!)
  • The fall recidivism rate (fell after discharge) was also the same (2.8% STEADI vs 2.1% controls)

STEADI consists of a number of assessments, including looking for medical conditions and medications that may

impair mobility, visual problems, gait and balance testing, footwear evaluation, cognitive screening, and home evaluation. This program was modified by the authors for inpatient use, although the exact modifications were not listed in the abstract.

Bottom line: The application of the CDC STEADI program did not appear to affect falls in-hospital or those after discharge. The authors question whether maintaining the resources ($) to implement this program is justified. The paper does raise that question, but it is not clear what modifications were made to the full program to tailor it to an inpatient population. The fact that nearly 1 in 20 elderly patients are falling in the hospital is concerning, with or without STEADI. What the abstract does confirm is that elderly falls are a huge problem. The CDC notes that 1 in every 3 patients age 65 and older will fall each year! Further evaluation of STEADI and other similar programs is essential to decrease the morbidity and mortality of falls in this age group.

Reference: UnSTEADI: Implementation of the CDC fall prevention program does not prevent in-hospital falls or reduce fall recidivism rates. Presented at EAST 2015, Paper 16.