In our previous article, we cited a study done
in NY that showed a rise in ACL injury rates among youth over the last 20
years. Sadly, if these young athletes
have an ACL injury and undergo reconstruction, the research is not much
better. According to a paper published
in the 2014 issue of the American Journal
of Sports Medicine, Webster
et al looked at whether or not younger patients are at increased risk
for graft rupture or contralateral limb injury after ACL reconstruction. Here 561 patients who underwent ACL reconstruction
with a minimum 3-year follow-up were questioned about the incidence of ACL
graft rupture, contralateral ACL injury, family history of ACL injury and
current activity level. What they found
was that 4.5% had a graft rupture and 7.5% had contralateral injury. The highest incidence of further ACL injury
occurred in patients younger than 20 years at the time of surgery. In this group, 29% sustained subsequent
injury and odds for sustaining ACL graft rupture or contralateral injury
increased 6 and 3 fold respectively for patient less than 20 years of age. Returning to cutting/pivoting sports
increased odds of graft rupture by factor of 3.9 and contralateral rupture by a
factor of 5. Despite what we know, why
are rates still so high?
With the abundance of research, comes a better
understanding of the factors leading to injury, what surgical interventions are
best, what interventions should be done post operatively, what preventative
programs work and more importantly how to assess athletes to determine those at
risk. It is easy if you have access to a
$300,000 biomechanics lab and have hours and hours of time to crunch the
data. But reality is most athletes can’t
afford, most don’t have access to or have the time needed to have this level of
examination performed. But, according to
the research, this may not be necessary.
In 2010, Paterno et al
published a paper in the American Journal
of Sports Medicine that looked at biomechanical measures during landing and
postural stability that may predict risk for a second ACL injury following
reconstruction. In this study, fifty six athletes underwent biomechanical
screening after ACLR using a 3D motion analysis system. During the analysis, the athletes performed a
vertical jump maneuver and postural stability assessment. Each subject was followed for 12 months for occurrence
of a second anterior cruciate ligament injury.
What they found was that 13 of the subjects suffered a subsequent ACL
injury. The transverse plane kinetics
and frontal plane kinematics during landing and sagittal plane moments at
landing and deficits in postural stability predicted 2nd ACL injury
in this population with a high degree of sensitivity (.92) and specificity
(.88). Specific predictive parameters
included an increase in total frontal plane (valgus moment), greater asymmetry
in internal knee extensor moment and a deficit in single leg postural
stability.
One of the most interesting findings in this study
was embedded in the authors’ results section.
Here they stated that 2-dimensional assessment of frontal plane motion
could identify a risk factor for future ACL injury with a high degree of
sensitivity. Due to the fact that frontal plane knee motion
is a representation of hip abduction, hip rotation and knee abduction, motion
seen and identified in this plane, then capturing with 2D technology could be
used to predict risk. The authors
further state that the larger the magnitude of this motion seen in the frontal
plane may be correlated to increased risk for these types of injuries.
In a recent study by Stearns et al
published in the 2014 American Journal of
Sports Medicine, the authors looked at the influence of hip focused
training program on lower extremity biomechanics during drop jump task. In this study, twenty one recreationally
active women (18-25 years of age) participated in a 4 week training program
consisting of hip focused plyometric and balance perturbation exercises. Exercise bouts were performed 3 times per
week for 30 minute sessions. What they
found was after training, the subjects demonstrated significantly greater
maximum isometric strength of the hip extensors and hip adductions. Subjects also landed with significantly
greater peak knee flexion, hip flexion and had lower knee/hip extensor moment
ratios. All of these factors are
important for reducing risk. But what
they also found was a significantly lower peak knee abduction angle
demonstrated (in the frontal plane). In
the results section, the authors report that reductions in the frontal plane
motion at the knee resulted in significantly lower knee adduction moments which
is consistent with reduced risk for ACL injury.
So, if motions like the ones captured in this photo with 2D technology
were reduced, then risk for ACL injury would also be reduced.
If this is the case, with the abundance of low
cost 2D technology available, then this could be used as an assessment for
injury risk. The challenge is there are
several factors that can lead to these pathological movement patterns. How do you assess them in a way that
systematically leads, through a progressive elimination of causative factors,
to the “root cause” of the pathological movement patterns demonstrated in each
individual athlete? Is there a way to do
that using technology that is reliable, valid, efficient, and sensitive to
change?
Stay tuned!
A.C.L., LLC is doing some great things in this area to Build Athletes to
Perform…Build Athletes to Last!™
About the author: Trent Nessler, PT, DPT, MPT.
Trent is a practicing physical therapist with 15 years in sports
medicine and orthopedics. He has a
bachelors in exercise physiology, masters in physical therapy and doctorate in
physical therapy with focus in biomechanics and motor learning. He is the founder/developer of the Dynamic Movement Assessment™, Fatigue Dynamic
Movement Assessment™ and author
of a textbook “Dynamic Movement
Assessment™: Prevent Injury and Enhance Performance”. Trent is also associate editor of the
International Journal of Athletic Therapy and Training, Member of the USA Cheer
Safety Council and
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