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A Nomogram Model Integrating Inflammation Markers for Predicting the Risk of Recurrent Sciatica After Selective Nerve
1Department of Pain Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Risk Management and Healthcare Policy
|April 17, 2025
Summary
Predicting sciatica recurrence after selective nerve root block for lumbar disc herniation is challenging. A new nomogram model integrating clinical, imaging, and inflammation data accurately predicts recurrence risk, aiding personalized treatment.
Area of Science:
- Spinal Surgery
- Interventional Pain Management
- Radiology
Background:
- Lumbar disc herniation (LDH) commonly causes sciatica.
- Selective nerve root block (SNRB) is an effective treatment for LDH-induced sciatica.
- Predicting sciatica recurrence after SNRB in LDH patients remains a clinical challenge.
Purpose of the Study:
- To develop a nomogram model for predicting sciatica recurrence after SNRB in LDH patients.
- To integrate clinical, imaging, and inflammation markers for improved prediction accuracy.
- To address data gaps in inflammation markers for predictive model construction.
Main Methods:
- Logistic regression analysis to identify independent predictors of sciatica recurrence.
- Construction of a nomogram prediction model using identified risk factors.
- Validation of the nomogram's performance and clinical utility using ROC analysis, calibration curves, and decision curve analysis (DCA).
Main Results:
- Preoperative sensory symptoms, herniation type, and systemic inflammation response index were significant predictors of unfavorable outcomes.
- The nomogram achieved an AUC of 0.764, with prognostic precision of 0.756 after internal validation.
- The model demonstrated favorable predictive performance and clinical benefit through ROC, calibration, and DCA.
Conclusions:
- Identified key risk factors for predicting unfavorable outcomes in sciatica patients post-SNRB.
- Developed a validated nomogram model integrating clinical, radiologic, and inflammatory factors.
- The model facilitates early prediction and individualized medical interventions for recurrent sciatica.
