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Published on: September 16, 2022
Comparative Analysis of Three Lordosis Correction Parameters for Predicting Proximal Junctional Kyphosis in Adult
Se-Jun Park1, Jin-Sung Park1, Dong-Ho Kang1
1Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Study Design:
Retrospective study.
Objective:
To compare the predictive performance of three lordosis correction parameters for proximal junctional kyphosis (PJK) in adult spinal deformity (ASD) surgery.
Summary Of Background Data:
Although the extent of lordosis correction, as measured by pelvic incidence minus lumbar lordosis (PI-LL), age-adjusted PI-LL, and L1PA, has been identified as a risk factor for PJK, direct comparison of their predictive ability has not been fully explored.
Methods:
A total of 323 patients who underwent lower thoracic spine to pelvis fusion with a 2-year follow-up were included. Three lordosis correction parameters were measured postoperatively: PI-LL, age-adjusted PI-LL offset, and L1PA offset. PJK was defined both radiographically and clinically. Logistic regression models with restricted cubic splines were used to assess the relationship between each parameter and the occurrence of PJK. Discriminative performance was evaluated using the area under the receiver operating characteristic curve (AUC), and calibration performance was assessed using Brier scores (lower scores indicate better performance). Odds ratios were calculated at multiple offset levels to evaluate effect sizes.
Results:
All three parameters demonstrated similar discriminative abilities (AUCs: 0.638 for PI-LL, 0.648 for age-adjusted PI-LL offset, and 0.704 for L1PA offset; P>0.05). However, the L1PA offset model showed significantly superior calibration performance (Brier score=0.196) compared to PI-LL (0.211) and age-adjusted PI-LL offset (0.210). Effect size analysis revealed that while overcorrection (negative offset values) increased PJK risk across all models, only the L1PA offset demonstrated a clear dose-response relationship. Correlation analysis showed that L1PA had only a moderate correlation with PI-based parameters, suggesting it captures distinct alignment features.
Conclusions:
All three lordosis correction parameters were predictive of PJK, but the L1PA offset showed improved calibration and more consistent risk stratification. L1PA may serve as a more robust and individualized metric for guiding alignment in ASD surgery.
