Predicting the Failure Risk of Internal Fixation Devices in Chinese Patients Undergoing Spinal Internal Fixation...

Area of Science:

• Orthopedics
• Biomedical Engineering
• Surgical Outcomes Research

Background:

• Spinal internal fixation is crucial for treating spinal disorders.
• Device failure can lead to significant complications and revision surgeries.
• Predictive tools are needed to identify patients at high risk of fixation failure.

Purpose of the Study:

• To develop and validate a nomogram for predicting the risk of spinal internal fixation device failure.
• To identify key clinical factors associated with fixation device failure in Chinese patients.

Main Methods:

• A retrospective study of 1139 patients undergoing spinal internal fixation.
• Development of a predictive model using least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression.
• Validation of the nomogram using training and validation cohorts, assessed by C-index, calibration curves, and decision curve analysis.

Main Results:

• The final nomogram incorporated gender, age, presence of scoliosis, and unilateral/bilateral fixation.
• The model showed moderate predictive power in the training set (C-index=0.722) and good performance in the validation set (C-index=0.761).
• The nomogram was deemed clinically useful at a 3% probability threshold for device failure.

Conclusions:

• A novel, validated nomogram can effectively predict the risk of spinal instrumentation failure.
• This tool aids in patient selection and surgical planning for spinal internal fixation.
• The nomogram provides a valuable resource for improving outcomes in spinal surgery patients.