Development and Validation of a Prediction Model for Pain and Functional Outcomes After Lumbar Spine Surgery

Area of Science:

• Orthopedic Surgery
• Spine Surgery
• Patient-Reported Outcomes

Background:

• Functional impairment and pain are common reasons for lumbar spine surgery.
• Information on expected patient-reported outcome (PRO) improvement is often unavailable to patients and clinicians.
• This limits informed decision-making regarding spinal fusion procedures.

Purpose of the Study:

• To assess population-level PRO response following lumbar spine surgery.
• To develop and validate a predictive tool for PRO improvement after lumbar fusion.
• To provide patients and clinicians with data-driven outcome expectations.

Main Methods:

• A statewide multicenter cohort of 1965 adult lumbar surgical candidates was prospectively studied.
• Data collected included clinical information and PROs (Oswestry Disability Index, Numeric Rating Scale) preoperatively and postoperatively.
• Prediction models were developed and validated using 1-year follow-up data, incorporating demographic and clinical factors.

Main Results:

• At 12 months, significant improvements in function, back pain, and leg pain were reported by 58.0%, 68.5%, and 76.5% of surgical patients, respectively.
• Prediction models showed good performance (concordance statistic, 0.66-0.79) in the validation cohort.
• A patient-facing, web-based interactive tool was developed using these models.

Conclusions:

• A PRO response prediction tool, based on population data, effectively explains variability in pain reduction and functional gains post-lumbar surgery.
• Providing accurate outcome likelihoods can significantly aid patients and clinicians in the surgical decision-making process.
• The developed tool offers valuable insights for managing expectations and improving shared decision-making in spine surgery.