Pain Trajectories After Orthopedic Surgery in Older Adults: An Analysis of Predictors and Associations with Postoperative Outcomes

BACKGROUND: Heterogeneity of postoperative pain trajectories and its impact on clinical outcomes in older orthopedic patients remain insufficiently characterized. This study aimed to identify distinct postoperative pain trajectories, determine their potential predictors, and evaluate their impacts on postoperative outcomes. METHODS: This secondary analysis included 710 patients aged 65-90 years who underwent orthopedic surgery and received self-controlled analgesia. After surgery, pain intensity was assessed twice daily for five days using an 11-point numeric rating scale; occurrence of complications was followed up until 30 days; quality of life was evaluated at 30 days. Growth mixture modeling was used to identify pain trajectories according to pain intensity with movement. Multinomial logistic regression analysis was used to identify predictors of trajectory membership. Multivariable regression was used to evaluate associations between trajectory membership and postoperative outcomes. RESULTS: Four distinct pain trajectories were identified: the slow-decrease pattern (57.9%), the rapid-decrease pattern (23.4%), the increase-decrease pattern (10.8%), and the slow-increase pattern (7.9%). Taking the slow-decrease pattern as a reference, preoperative analgesic use was associated with higher risks of increase-decrease (adjusted OR, 3.76; 95% CI, 1.53-9.23; P=0.004) and slow-increase trajectories (adjusted OR, 3.89; 95% CI, 1.52-9.98; P=0.005), whereas using dexmedetomidine in self-controlled analgesia was associated with lower risks of rapid-decrease (adjusted OR, 0.47; 95% CI, 0.32-0.70; P<0.001) and increase-decrease trajectories (adjusted OR, 0.15; 95% CI, 0.08-0.28; P<0.001). When compared with the slow-decrease pattern, patients with rapid-decrease trajectory required more opioids and developed more complications; patients with increase-decrease trajectory required more opioids and had lower quality of life-physical domain score at 30 days; patients with slow-increase trajectory stayed longer in hospital after surgery. CONCLUSIONS: Postoperative pain in older orthopedic patients followed four distinct trajectories that were influenced by baseline and perioperative factors. Specific pain trajectories were associated with adverse postoperative outcomes.

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Journal
Anesthesiology
Published
2026-04-06
DOI
https://doi.org/10.1097/aln.0000000000006083
Primary Topic
Pain Management and Opioid Use
Type
article
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article

Pain Trajectories After Orthopedic Surgery in Older Adults: An Analysis of Predictors and Associations with Postoperative Outcomes

Yan Li, Jia-Hui Ma, Dong-Xin Wang
Anesthesiology
Pain Management and Opioid Use
article

Pain Trajectories After Orthopedic Surgery in Older Adults: An Analysis of Predictors and Associations with Postoperative Outcomes

Yan Li, Jia-Hui Ma, Dong-Xin Wang
article en

Abstract

BACKGROUND: Heterogeneity of postoperative pain trajectories and its impact on clinical outcomes in older orthopedic patients remain insufficiently characterized. This study aimed to identify distinct postoperative pain trajectories, determine their potential predictors, and evaluate their impacts on postoperative outcomes. METHODS: This secondary analysis included 710 patients aged 65-90 years who underwent orthopedic surgery and received self-controlled analgesia. After surgery, pain intensity was assessed twice daily for five days using an 11-point numeric rating scale; occurrence of complications was followed up until 30 days; quality of life was evaluated at 30 days. Growth mixture modeling was used to identify pain trajectories according to pain intensity with movement. Multinomial logistic regression analysis was used to identify predictors of trajectory membership. Multivariable regression was used to evaluate associations between trajectory membership and postoperative outcomes. RESULTS: Four distinct pain trajectories were identified: the slow-decrease pattern (57.9%), the rapid-decrease pattern (23.4%), the increase-decrease pattern (10.8%), and the slow-increase pattern (7.9%). Taking the slow-decrease pattern as a reference, preoperative analgesic use was associated with higher risks of increase-decrease (adjusted OR, 3.76; 95% CI, 1.53-9.23; P=0.004) and slow-increase trajectories (adjusted OR, 3.89; 95% CI, 1.52-9.98; P=0.005), whereas using dexmedetomidine in self-controlled analgesia was associated with lower risks of rapid-decrease (adjusted OR, 0.47; 95% CI, 0.32-0.70; P<0.001) and increase-decrease trajectories (adjusted OR, 0.15; 95% CI, 0.08-0.28; P<0.001). When compared with the slow-decrease pattern, patients with rapid-decrease trajectory required more opioids and developed more complications; patients with increase-decrease trajectory required more opioids and had lower quality of life-physical domain score at 30 days; patients with slow-increase trajectory stayed longer in hospital after surgery. CONCLUSIONS: Postoperative pain in older orthopedic patients followed four distinct trajectories that were influenced by baseline and perioperative factors. Specific pain trajectories were associated with adverse postoperative outcomes.

Anesthesiology
Outcomes Research Consortium (US), Peking University (CN), Peking University First Hospital (CN)
Openalex Percentile: Top 22%
Pain Management and Opioid Use
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