To construct a nomogram model to predict incomplete clinical improvement after unilateral biportal endoscopy (UBE) for lumbar disc herniation, thereby enhancing clinical decision-making.
Key Findings:
Increased body mass index (BMI)
Higher preoperative visual analogue scale (VAS-B) for back pain
Increased preoperative Oswestry disability index (ODI) score
Presence of facet joint osteoarthritis (FJOA)
C-index of the training set was 0.86 and validation set was 0.92, indicating strong predictive performance.
Interpretation:
The nomogram model effectively predicts incomplete clinical recovery post-UBE, aiding in clinical decision-making.
Limitations:
Study limited to a single center, which may affect generalizability.
Potential selection bias due to exclusion criteria, impacting the representativeness of the sample.
Conclusion:
The nomogram model can help identify high-risk patients, optimize preoperative decisions, and ultimately improve postoperative outcomes.
With an aging population, spine disorders are becoming increasingly common. Age-related spinal degeneration is nearly universal, but not all patients experience symptoms—and not all degeneration progresses the same way.
A systematic review found Janus kinase inhibitor monotherapy improved outcomes vs methotrexate or placebo, but direct comparisons with combination therapy were limited.
