BCMS Medical Record Fall 2020 - 24

Measuring the
Success of Mitraclip
Technology via
Predictive Modeling
continued from page 23

Figure 3.2 Contingency table
number 2, showcasing pre-discharge
complications vs. MR severity

Figure 3.1 Contingency table number 1,
showcasing pre-discharge complications vs.
underlying cardiac disease

Results:

The results gathered from the tree diagram illustrated that none
of our variables are an indicator of how well a patient will perform
after the Mitraclip is implanted. The most important value to pay
attention to is the R2 value. The larger the R2 value is, the stronger
the relationship between variables. A strong relationship would be
considered (+ or -) 0.500 or greater. If the relationship between the
variables proves strong in either the + or - direction, then it would
be fair to conclude that patients with certain pre-existing variables
will have a higher risk of postoperative complications.
In the first tree diagram, we see three partitions (splits) that
analyze the three most influential variables vs. pre-discharge

24

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Figure 3.3 Contingency table
number 3, showcasing predischarge
complications vs. ejection fraction.
complications. The JMP software selected variables from the data
set with the most significance. However, the R2 value was only
0.311, confirming a weak relationship between MR severity,
pre-existing heart conditions, and ejection fraction of mitral
valve function vs. the pre-discharge complications. Similarly, the
relationship between the desired variables and the post-discharge
complications was only 0.449. Though slightly greater than its
competitor, the value is still not great enough to deem significance.
These relationship values are essential because they indicate whether
or not patients with high risk could withstand the surgery. In other
words, pre-existing conditions, or rather the severity of the preexisting conditions, does not correlate with complications pre- or


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BCMS Medical Record Fall 2020

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