Related Experiment Videos
Recovery trajectory phenotypes and their baseline predictors following conservative treatment for cervical
Hongyan Zhang1, Jiafeng Shen2, Yue Liu1
1Department of Orthopedic Trauma, Shaoxing Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Shaoxing, Zhejiang, 312000, China.
Background:
Recovery after conservative treatment for cervical radiculopathy (CR) is heterogeneous, but VAS-based pain recovery patterns and their baseline predictors remain unclear.
Objective:
To identify VAS-based pain recovery trajectory phenotypes after conservative treatment for CR, compare clinical outcomes across phenotypes, and explore baseline predictors of unfavorable trajectories.
Methods:
In this single-center retrospective cohort study, consecutive CR patients receiving standardized conservative treatment were enrolled. Latent class growth analysis (LCGA) was applied to Visual Analogue Scale (VAS) scores measured at five time points from baseline to 12 months. Neck Disability Index (NDI) trajectories were modeled in parallel to assess robustness. Multinomial logistic regression was used to identify predictors of unfavorable trajectories, with multiple imputation and bootstrap resampling for internal validation.
Results:
Among 195 patients, LCGA identified four VAS-based pain recovery trajectories: Rapid Recovery (31.8%), Gradual Improvement (37.9%), Slow Incomplete Recovery (19.5%), and Persistent Poor Outcome (10.8%). Composite treatment-failure rates at 12 months were progressively higher across these groups (4.8%, 21.6%, 52.6%, and 85.7%, respectively; P < 0.001), and conversion-to-surgery rates ranged from 1.6% to 42.9%. Longer symptom duration, higher baseline NDI, multi-segment involvement, and severe foraminal stenosis were independently associated with the Persistent Poor Outcome trajectory. The bias-corrected C-statistic was 0.76 (95% CI: 0.70-0.82).
Conclusion:
Four VAS-based pain recovery trajectories were identified after conservative treatment for CR. Baseline functional and imaging features may offer preliminary prognostic information but capture only part of multidimensional recovery. Prospective validation incorporating psychosocial factors is required.