All posts by The Trauma Pro

Abstracts, Head

Best Of AAST 2021: Validating The “Brain Injury Guidelines” (BIG)

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The Brain Injury  Guidelines (BIG) were developed to allow trauma programs to stratify head injuries in such a way as to better utilize resources such as hospital beds, CT scanning, and neurosurgical consultation. Injuries are stratified into three BIG categories, and management is based on it. Here is the stratification algorithm:

And here is the management algorithm based on the stratification above:

The AAST BIG Multi-Institutional Group set about validating this system to ensure that it was accurate and safe. They identified adult patients from nine high level trauma centers that had a positive initial head CT scan. They looked at the the need for neurosurgical intervention, change in neuro exam, progression on repeat head CT, any visits to the ED after discharge, and readmission for the injury within 30 days.

Here are the factoids:

  • About 2,000 patients were included in the study, with BIG1 = 15%, BIG2 = 15%, and BIG3 = 70% of patients
  • BIG1: no patients worsened, 1% had progression on CT, none required neurosurgical intervention, no readmits or ED visits
  • BIG2: 1% worsened clinically, 7% had progression on CT, none required neurosurgical intervention, no readmits or ED visits
  • All patients who required neurosurgical intervention were BIG3 (20% of patients)

The authors concluded that using the BIG criteria, CT scan use and neurosurgical consultation would have been decreased by 29%.

Bottom line: This is an exciting abstract! BIG has been around for awhile, and some centers have already started using it for planning the management of their TBI patients. This study provides some validation that the system works and keeps patients safe while being respectful of resource utilization. 

My only criticism is that the number of patients in the BIG1 and BIG2 categories is low (about 600 combined). Thus, our experience in these groups remains somewhat limited. However, the study is very promising, and more centers should consider adopting BIG to help them refine their management of TBI patients.

Reference: VALIDATING THE BRAIN INJURY GUIDELINES (BIG): RESULTS OF AN AAST PROSPECTIVE MULTI-INSTITUTIONAL TRIAL. AAST 2021, Oral abstract #25.

Abstracts, Thorax

Best Of AAST 2021: Liposomal Bupivacaine For Rib Fractures

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The mainstays of rib fracture management are pain control and pulmonary toilet. The pain part of the equation can be managed in many ways, using topical, oral, IV, and injectable medications.

Rib blocks have been a mainstay for achieving some degree of local pain control. Classically, xylocaine was injected in the area around the costal nerve at or proximal to the fracture site. Then we found that if we combined the anesthetic agent with epinephrine, we could prolong the effect. New, longer-acting agents came around, and we could achieve a longer duration of action.

Then there is the new kid on the block: liposomal bupivacaine, also known as Exparel in the US.  The manufacturer was able to take molecules of bupivacaine and encapsulate them in a lipid membrane. When injected, these little liposomes slowly release their cargo, with a more prolonged anesthetic effect. Allegedly.

Sounds great! But does it work? The group at University of Cincinnati designed a prospective, double-blinded, randomized placebo control study of liposomal bupivacaine vs saline injection for pain control in up to six rib fractures. Subjects had significant injury as measured by their inability to achieve at least 50% of the desired inspiratory capacity. The authors monitored a number of respiratory parameters, as well as the pain score.

Here are the factoids:

  • Two cohorts of 50 patients were recruited, one received liposomal bupivacaine in up to six rib fractures, and the other received saline injections
  • The bupivacaine group achieved higher incentive spirometry volumes over the first two days, by about 200 cc
  • There was no change in daily pain scores in either group
  • Both groups showed a similar decrease in opioid use over time
  • Hospital and ICU lengths of stay were the same, and there were no complications or adverse events

Bottom line: Hmm. What’s going on here? There is a moderate amount of literature out there that does indicate a positive effect from liposomal bupivacaine in other conditions. But there are also some blinded, randomized studies that fail as well. So there are three possibilities:

  1. Liposomal bupivacaine isn’t a panacea, and works better in some situations than others
  2. This study failed to show a real difference for some reason
  3. A combination of both

This is a relatively small study, and the authors were not able to share their power analysis. They did not state if the spirometry volumes were significantly different, although I’m not sure 200 cc is clinically relevant. Maybe. But pain scores remained similar and opioid use declined as expected in both. 

These kinds of studies can be important. The difference in cost between injecting liposomal bupivacaine ($19 / ml) vs regular bupivacaine (10 cents / ml) vs saline/nothing (free) is striking. The premium price for the liposomal form needs to have a clear benefit or a cheaper product should be used.

Here are my questions for the presenter and authors:

  • Was your study big enough to show a result? Show us your power analysis.
  • How significant was the incentive spirometry result. Was the difference clinically noticeable?
  • What is your takeaway for this study? Your conclusion parrots the results. What will you do differently now, if anything?

Reference: INTERCOSTAL LIPOSOMAL BUPIVACAINE INJECTION FOR
RIB FRACTURES. AAST 2021, Oral abstract #20.

Abstracts, Prevention

Best Of AAST 2021: Identifying Risk For Elderly Falls

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Over the past 20 years, falls have become the most common mechanism of injury at most trauma centers. In fact, many centers count twice as many falls as motor vehicle crashes! The problem with working in a trauma center is that we tend to see patients at risk for falls only after they have fallen.

The group at Butterworth Hospital attempted to determine if there was a way to identify patients at risk for falls earlier. They postulated that many of these patients may have experienced a fall within the past year, identifying them as at high risk for yet another. They retrospectively reviewed their trauma registry data for a three year period. Specifically, they wanted to identify how many of those had suffered earlier falls and what happened to them over time.

Here are the factoids:

  • A total of 597 patients were also admitted due to a fall during the year prior to their index admission
  • Only 2% had falls prevention teaching after the previous admission
  • About a third of patients fell again within a year after the index admission, and 20% were admitted again
  • The patients were assessed using the Hester-Davis score (see below), and patients who were identified by it as high risk were more likely to be readmitted or die
  • Overall mortality at 12 months was about 20%

The authors were surprised that so many of their falls patients had been previously admitted for a fall. They recognized that it presents a major prevention opportunity, and recommend these patients undergo some type of activity before and/or after discharge.

Note: The Hester Davis Fall Risk Scale (HDFRS) includes factors of age, date of last known fall, mobility, medications, mental status, toileting needs, volume/electrolyte status, communication/sensory, and behavior with the option to choose multiple options per risk category; a score of seven to ten indicates low fall risk, eleven to fourteen indicates moderate fall risk, and greater than fifteen indicates high fall risk.

Bottom line: This is a straightforward single-hospital registry study. Even though it reflects the experience of a single rural trauma center, the results are applicable to most others. It confirms that any fall in the elderly should be considered a sentinel event which has a good chance leading to death within a year. 

Here’s the way I see it:

“You fall, you die”

It is very important that every trauma center identify these patients when they arrive, and apply prevention efforts while in the hospital or hook them up with activities after discharge. And if you don’t have such a program included in your injury prevention activities, you should! It’s the most common mechanism seen by trauma centers, hands down!

I have only one suggestion for the presenter and authors:

  • The concept of being “at risk” was not clear to me. Did this mean that you looked back one year for each admission to see if there was an admission for a fall? Or did you just get the history of a fall from the previous admission? It looks like you identified an index admission, then looked back a year to see if the patient should be included in this study. Then you looked forward a year to see if there was yet another admission and/or death. Is this correct? Please clarify during your presentation at the meeting.

Reference:  FALL RISK IDENTIFICATION THROUGHOUT THE
CONTINUUM OF CARE. AAST 2021, Oral abstract #18.

Performance Improvement

Best Of AAST 2021: Reducing Errors In Trauma Care

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Finally, a performance improvement (PI) abstract at AAST!

As many of you know, there are two general types of issues that are encountered in the usual PI processes: provider (peer) vs system. Provider issues are errors of omission or commission by an individual clinician. Examples include a surgeon making a technical error during a procedure, or prescribing the wrong drug or dose for some condition.

One might think that provider issues are the most common type of problem encountered. But they would be wrong. The vast majority of clinicians go to work each day with the idea that they will do their job to the best of their abilities. So how could things go awry?

Because the majority of errors have some degree of system component! They are set up to fail by factors outside their perception and/or control. Let’s look at a surgeon who has several small bowel anastomoses fall apart. His surgery department head chides/educates him, reports him to hospital quality, and proctors his next ten bowel cases. Everything is good, right?

But then, two months later, the stapler company issues a recall because they found a higher than usual number of anastomotic failures with one of their products. So it wasn’t the surgeon after all, like everyone assumed. This is an extreme example, but you get the idea. System issues often look like peer issues, but it’s frequently difficult for many PI programs to recognize or accept this.

A multi-institutional group reviewed the results of a newly implemented Mortality Reporting System (MRS) to analyze a large number of PI opportunities for improvement (OFI). More than 300 trauma centers submitted data to the MRS when a death occurred where an OFI was identified. The reports included details of the incident and mitigation strategies that were applied.

 

Here are the factoids:

  • A total of 395 deaths were reviewed over a two year period
  • One third of deaths were unanticipated (!!), and a third of those were failure to rescue
  • Half of errors pertained to clinical management, clinical performance, and communication
  • Human failures occurred in about two thirds of cases
  • The most common remedy applied was education, which presumes a “provider issue”
  • System strategies like automation, standardization, and fail-safe approaches were seldom used, implying that system issues were seldom recognized
  • in 7%, the trauma centers could not identify a specific strategy to prevent future harm (!!!)

The authors concluded that most strategies to reduce errors focus on individual performance and do not recognize the value of system-level intervention.

Bottom line: Look at the pyramid chart above (interesting choice for a chart, but very effective). The arrow shows progression from provider focus to systems focus. The pyramid shows how the recognition of and intervention for system issues drops off very rapidly.

I am both shocked and fascinated by the last bullet point. A strategy couldn’t be developed to prevent the same thing from happening again. Now, there are a few rare instances where this could be correct. Your patient could have been struck by a bolt of lightning in her room, or a meteorite could have crashed through the wall. But I doubt it. This 7% illustrates the importance of investigating all the angles to try to determine how the system failed!

For once, I have no critique for an abstract. It is a straightforward descriptive study that reveals an issue that many in PI are not fully aware of. I’ll definitely be listening to this one, and I really look forward to the published paper!

Reference: ERROR REDUCTION IN TRAUMA CARE: LESSONS FROM AN ANONYMIZED, NATIONAL, MULTI-CENTER MORTALITY REPORTING SYSTEM. AAST 2021, Oral abstract #17.

Resuscitation

Best Of AAST 2021: Are We Getting Better At Balanced Resuscitation?

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The way we resuscitate major trauma patients has been changing over the past decade. Even the 10th edition of the ATLS course has recognized that so-called balanced resuscitation is important. This concept limits the use of crystalloid and relies more heavily on blood component administration in ratios that more closely approximate whole blood.  Balanced resuscitation typically translates as the use of less than two liters of crystalloid, and blood product transfusion ratios of 1:1 to 2:1 (PRBC to plasma).

We have also recognized the critical importance of rapid control of major hemorrhage, which is best accomplished in an operating room.  The group at the University of Arizona massaged the TQIP database to see if these changes are having a significant impact on our patients.

They looked at five years worth of data, specifically reviewing information on adult patients with both transfusion and laparotomy occurring within four hours of arrival. The authors performed regression analyses to identify trends over the study period.

Here are the factoids:

  • Nearly 10,000 patients met study criteria with a mean age of 44 and ISS 34
  • Patients were in shock, with mean SBP 78 and median number of transfusions of 9 PRBC and 6 plasma
  • Time to laparotomy decreased from 1.87 hours to 1.37 hours over the five year period
  • 24-hour mortality decreased from 23% to 19% during the study
  • Blood product ratio decreased from 1.93:1 to 1.73:1
  • The authors state that the blood product ratio was independently associated with 24 hour mortality (odds ratio of 1.09) and in-hospital mortality (1.10) (??)

The authors conclude that resuscitation is becoming more balanced and time to surgery shorter, with a significant improvement in mortality.

Bottom line: Well, this is an interested study of associations. It uses a large database, which of course limits some of the information available. There are obvious trends toward faster time to OR (by 30 minutes) and a 4% improvement in survival. But the transfusion ratio really looks to be about the same. 

Let’s do the math, assuming that an average of 10 units of PRBC were given. A ratio of 1.93 would mean that 5.2 units of plasma were give (1425 cc, assuming 275 cc per unit). The ratio of 1.73 noted in 2017 would then be 5.8 units, or 1590 cc. This is an increase in FFP transfusion of 165 cc.

The authors stated that the improvement in transfusion ratios was statistically associated with the improvement in survival. I think this is one of those situations where there is a big difference between statistical significance and clinical significance. Do you really think that giving just 165 additional ccs of plasma could have that much overall effect on survival?

My suspicion is that there is a true association between the more rapid time to OR (and presumably surgical control) and survival. It’s just that the numbers were not clean enough to meet statistical rigor.

This is an interesting abstract, and shows that we are slowly getting better at controlling bleeding. But I think the most important takeaway is that we are not as good at balanced resuscitation as we think we are. We seem to be hovering at the 2:1 ratio, and only very slowly moving toward 1:1.

Questions for the authors / presenter:

  • Were you able to see a correlation between time to OR and survival?
  • Please comment on the association between transfusion ratios and survival, especially given the very small change over time.
  • Please clarify the in-hospital mortality and 24-hour mortality variables. In-hospital mortality suddenly pops up at the end of the results, but was never mentioned before.

Reference: AFTER 9,000 LAPAROTOMIES FOR BLUNT TRAUMA, RESUSCITATION IS BECOMING MORE BALANCED AND TIME TO INTERVENTION SHORTER: HOW LOW CAN WE GO? AAST 2021, Oral abstract #3.