http://stroke.ahajournals.org/content/early/2015/02/24/STROKEAHA.114.007392.abstract
- Allen W. Brown, MD,
- Terry M. Therneau, PhD,
- Billie A. Schultz, MD,
- Paulette M. Niewczyk, PhD, MPH and
- Carl V. Granger, MD
+ Author Affiliations
- Correspondence to Allen W. Brown, MD, Department of Physical Medicine and Rehabilitation, 200 First St SW, Mayo Clinic, Rochester, MN 55905. E-mail brown.allen@mayo.edu
Abstract
Background and Purpose—Identifying
clinical data acquired at inpatient rehabilitation admission for stroke
that accurately predict key outcomes at
discharge could inform the development of
customized plans of care(maybe call these stroke protocols?) to achieve favorable outcomes. The purpose of
this analysis
was to use a large comprehensive national
data set to consider a wide range of clinical elements known at
admission to identify
those that predict key outcomes at
rehabilitation discharge.
Methods—Sample data
were obtained from the Uniform Data System for Medical Rehabilitation
data set with the diagnosis of stroke for
the years 2005 through 2007. This data set
includes demographic, administrative, and medical variables collected at
admission
and discharge and uses the FIM (functional independence measure) instrument to assess functional independence.
Primary outcomes
of interest were functional independence
measure gain, length of stay, and discharge to home.
Results—The sample
included 148 367 people (75% white; mean age, 70.6±13.1 years; 97% with
ischemic stroke) admitted to inpatient
rehabilitation a mean of 8.2±12 days after
symptom onset. The total functional independence measure score, the
functional
independence measure motor subscore, and the
case-mix group were equally the strongest predictors for any of the
primary outcomes.
The most clinically relevant 3-variable model
used the functional independence measure motor subscore, age, and
walking distance
at admission (r2=0.107). No important additional effect for any other variable was detected when added to this model.
Conclusions—This
analysis shows that a measure of functional independence in motor
performance and age at rehabilitation hospital admission
for stroke are predominant predictors of
outcome at discharge in a uniquely large US national data set.
An r squared of 0.107 means that only 10.7% of the variance in the outcome was accounted for by the predictors. At my initial eval I had a 2 out of 7 on the FIM walking task because I needed the maximum assistance of two people. Since I have good community ambulation now I am glad initial test results are not necessarily destiny.
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