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Compensatory classification in spine sagittal malalignment with lumbar degeneration
Yu Wang1,2, Xiang-Yu Li1,2, Wei-Guo Zhu1,2
1Department of Orthopedics, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, China.
BMC Musculoskeletal Disorders
|March 27, 2023
Summary
A new compensatory classification effectively evaluates sagittal spinal malalignment in lumbar degeneration. This method correlates with patient symptoms and spinal balance, aiding in assessing elderly patients.
Area of Science:
- Orthopedics
- Spine Surgery
- Radiology
Background:
- Sagittal spinal malalignment is common in lumbar degeneration.
- Existing classifications may not fully capture compensatory mechanisms.
- Accurate evaluation is crucial for patient outcomes.
Purpose of the Study:
- To develop and validate a compensatory classification system for sagittal spinal malalignment in patients with lumbar degeneration.
- To assess the correlation between this new classification and clinical outcomes (pain, disability).
Main Methods:
- Retrospective analysis of 162 low back pain patients with full-length spinal radiography.
- Measurement of key sagittal parameters: pelvic tilt (PT), sacral slope (SS), pelvic incidence (PI), thoracic kyphosis (TK), lumbar lordosis (LL), C7 slope (C7S), thoracolumbar kyphosis (TLK), and C7 sagittal vertical axis (SVA).
- Comparison with SRS-Schwab classification and Oswestry Disability Index (ODI) and visual analog scale (VAS) scores.
Main Results:
- The compensatory classification correlated significantly with ODI and VAS scores.
- Patients with hidden imbalance and compensated imbalance showed greater pelvic tilt and thoracic kyphosis.
- Symptom severity progressively worsened across the four compensatory classification groups.
Conclusions:
- The proposed compensatory classification effectively reflects spinal balance and symptoms in lumbar degeneration.
- This classification may improve the evaluation of sagittal alignment in elderly patients with lumbar degeneration.
