Development and validation of a predictive nomogram for cage migration after posterior lumbar interbody fusion: a retrospective study of 517 patients - Summary - MDSpire
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Development and validation of a predictive nomogram for cage migration after posterior lumbar interbody fusion: a retrospective study of 517 patients
To identify risk factors associated with cage migration (CM) after posterior lumbar interbody fusion (PLIF) and develop a predictive nomogram to enhance surgical outcomes.
Key Findings:
The overall prevalence of CM was 8.9%.
Independent risk factors for CM included osteoporosis (OR = 4.186), spondylolisthesis (OR = 8.199), Modic type I change (OR = 8.279), PI-LL mismatch (OR = 1.306), and preoperative hemoglobin levels (OR = 0.822).
The nomogram demonstrated strong discrimination (AUC=0.874) and good calibration.
Interpretation:
The nomogram can assist healthcare professionals in preoperative risk assessment and tailored surgical planning for patients undergoing PLIF.
Limitations:
The study was retrospective and conducted at a single institution, which may limit generalizability and introduce biases in data collection and patient selection.
Conclusion:
The developed nomogram provides a valuable tool for predicting CM risk, potentially improving surgical outcomes in PLIF procedures and aiding in tailored surgical planning.