Predicting Acute Postoperative Pain Trajectories and Long-Term Outcomes of Adolescents after Spinal Fusion Surgery

Don Daniel Ocay, Mandy M J Li, Pablo Ingelmo, Jean A Ouellet, M Gabrielle Pagé, Catherine E Ferland, Don Daniel Ocay, Mandy M J Li, Pablo Ingelmo, Jean A Ouellet, M Gabrielle Pagé, Catherine E Ferland

Abstract

Objectives: Acute pain trajectories are associated with long-term outcomes such as persistent pain and functional disability in adults. However, there are limited data on acute postoperative pain trajectories in the pediatric population. The aims of this study were to investigate acute postoperative pain trajectories, their predictors, and their impact on long- term outcomes in adolescents with idiopathic scoliosis.

Methods: We evaluated the preoperative pain intensity, use of analgesics, psychosocial measures and physical functioning of adolescents scheduled to undergo spinal fusion, and their average 6-hour self-reported pain intensity scores for their entire hospital stay. Six months after surgery, baseline variables were reassessed. We used growth mixture modeling to conduct acute postoperative pain trajectory analysis and to identify predictors of pain trajectories. Generalized linear models were conducted to determine whether acute pain trajectories predict long-term outcomes.

Results: One hundred and six patients were included in the best-fitted acute pain trajectory model that included four classes that differed in initial pain intensity and rates of change over time. Preoperative pain catastrophizer status and use of analgesics significantly predicted pain trajectory membership. Furthermore, at the 6-month follow-up, patients experiencing moderate-to-severe pain in the acute postoperative period were more likely to report higher levels of pain severity, use pain medication, and miss a greater number of school/work days due to back pain in the last three months. Discussion. Preoperative assessment and analyzing the progression of pain in the acute postoperative period can help identify those at risk of negative long-term outcomes after surgery.

Conflict of interest statement

The authors declare no conflicts of interest.

Copyright © 2020 Don Daniel Ocay et al.

Figures

Figure 1
Figure 1
Study flowchart of cohort for the analysis.
Figure 2
Figure 2
Acute postoperative median pain intensity of patients (n = 106). Data are presented as median (middle line), interquartile range (box), and range (whiskers). NRS: numerical rating scale.
Figure 3
Figure 3
Acute postoperative pain trajectories: trajectory 1 (n = 26), trajectory 2 (n = 29), trajectory 3 (n = 26), and trajectory 4 (n = 25). NRS: numerical rating scale.

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