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As compared to conventional pain assessment, using the simple linear fit model can offer more precise evaluation of acute pain trajectory after surgery.
Evaluation of patient’s postoperative pain or inflammation
can help determine hospital stay and patient satisfaction. An assessment and
analysis method used to predict a patient's pain prognosis was made which found
that an analysis via the pain trajectory is an appropriate method to prevent chronic
post-surgical pain due to distal radius fracture.
As compared to conventional pain assessment, using the
simple linear fit model can offer more precise evaluation of acute pain
trajectory after surgery. But, this technique has a drawback of using only the
slope and not the intercept. This study aimed to verify the modification of the
pain trajectory model comprising slope and intercept and to recognize the
clusters.
Post-operative pain was measured in 60 patients alongwith
their pain trajectories. These patients had undergone DRFs. The linear fit of a
patient’s pain intensity score describes the trajectory. Each patient’s
trajectory had a slope and intercept in this linear model, (‘X’for days and ‘Y’
for pain intensity). The structural equation modeling (multiple regression
analysis model) was used to predict pain following the surgery at 30 days. Lastly,
the hierarchical cluster analysis was done by the pain trajectory.
The “slope and intercept model” was found to be the best
out of other models. As per the outcomes of the cluster analysis, 4 pain
trajectory groups (slope and intercept) were formed.
Pain trajectory via the slope and intercept is beneficial
for predicting postoperative pain at 30 days. Clinicians may be able to detect
the risk of prolonged pain quickly as compared to other methods by considering
both the slope and intercept.
PAIN practice
Development of more precise measurement to predict pain 1 month postoperatively based on use of acute postoperative pain score in patients with distal radial fracture
Ryota Imai et al.
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