The Nitty-Gritty of Clinical Decision Rules
Guy Carmelli, MD*; Andrew Grock, MD; Enid Picart, BS; Jessica Mason, MD
*Corresponding Author. E-mail: carmellig@gmail.com.
0196-0644/$-see front matter
Copyright © 2018 by the American College of Emergency Physicians.
https://doi.org/10.1016/j.annemergmed.2018.04.004
SEE RELATED ARTICLE, P. 703.
[Ann Emerg Med. 2018;71:711-713.]
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ANNALS CASE
How are clinical decision rules (CDRs) applied (and
maybe misapplied) in emergency medicine? This question
arose after we read the article by Babl et al.
1
Here, they
compared clinician gestalt with 3 decision rules for head
injury in children. Surprisingly, CDR use would not have
increased sensitivity and may have led to increased use of
imaging! Aren’t CDRs supposed to aid judgment and
reduce unnecessary testing? We had hoped yes, but
unfortunately, they sometimes lead us astray.
CDRs, otherwise known as prediction rules or prediction
models, combine multiple patient historical and
examination variables, test results, and other disease
characteristics to estimate the probability of either a
diagnosis or a prognosis.
2
The term “rule” is a misnomer in
that CDRs are not inflexible or absolute, but should
function more to supplement clinical judgment.
3
Hence,
many providers prefer the term “clinical decision tools.” (To
avoid a superfluous acronym, we will stick with CDRs.)
CDRs CAN BE A BIG HELP
In many ways, medical decisionmaking boils down to
playing the percentages and predicting risk of outcomes.
Being able to do this for every disease process is difficult,
and CDRs can factor in many different variables to reach a
consistent outcome.
4
CDRs can also help by organizing
which clinical features play a significant role in predicting
bad outcomes, formalizing a standardized method for
physicians to approach a disease process, serving as a great
tool for new learners developing their clinical gestalt, and
supporting clinical decisions in our documentation.
Furthermore, several prediction models have been shown to
be more accurate than clinical judgment alone.
4
NOTHING COMES WITHOUT RISK
Although CDRs have many benefits, they also have
some inherent problems. They may themselves have poor
generalizability or weak external validity, or physicians may
misapply them, confuse variables, or not know how to
incorporate their own gestalt.
5
Let’s discuss some of the
major pitfalls some people face with CDRs, and offer up
some pearls as well!
THE PEARLS AND PITFALLS
Wrong Population
CDRs are often made for specific patients in a specific
population. If derived at a different hospital, with a different
practice style, or with a different patient population, that
CDR may not be right for you! For example, the pediatric
blunt abdominal trauma CDR created by Holmes et al
6
excludes focused assessment sonography for trauma
ultrasonographic results. Therefore, it may not apply to
hospitals that regularly perform serial examinations on their
patients for focused assessment sonography for trauma.
Individual hospitals and practice environments should
decide which CDRs are applicable to their setting.
7,8
Wrong Patient
The derivation studies for CDRs have specific inclusion
and exclusion criteria.
5
Keep in mind that the patient in
front of you may have certain characteristics that would
exclude him or her from the CDR: young age, malignancy,
dementia, pregnancy, intoxication, anticoagulation, or
immunocompromised state. For example, patients with
penetrating trauma were excluded by both the CATCH
rule (Canadian Assessment of Tomography for Childhood
Head Injury) for head trauma and the National Emergency
X-Radiography Utilization Study C-spine rule.
9,10
The specific inclusion criteria are important too because
the CDR should not be generalized to patients who don’t
Volume 71, no. 6 : June 2018 Annals of Emergency Medicine 711
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