Toward Personalized Neuromodulation: Nomogram Models Forecasting Long-Term Response After Temporary Peripheral Nerve...

Area of Science:

• Neuromodulation
• Pain Management
• Clinical Research

Background:

• Peripheral nerve stimulation (PNS) is a promising short-term therapy for chronic pain.
• Predicting long-term benefits of PNS remains challenging due to limited integration of psychosocial factors.
• Identifying psychosocial predictors is crucial for optimizing chronic pain management.

Purpose of the Study:

• To identify psychosocial predictors of sustained pain relief after 60-day PNS.
• To develop nomograms for patient selection and prognostication in PNS therapy.
• To enhance the prediction of long-term outcomes in chronic pain patients undergoing neuromodulation.

Main Methods:

• Prospective, multisite observational cohort study of 110 chronic pain patients.
• Baseline assessments included demographics, clinical data, and psychosocial instruments (e.g., Pain Catastrophizing Scale, Pain Self-Efficacy Questionnaire).
• Developed two nomograms (clinical and psychosocial-enhanced) to predict ≥50% pain reduction at 12 months, assessed using AUC and bootstrapping.

Main Results:

• Initial 60-day response, high physical activity, and pain self-efficacy were strong positive predictors of long-term pain relief.
• Pain catastrophizing, insomnia, anxiety, and high baseline disability predicted nonresponse.
• The psychosocial-enhanced nomogram demonstrated robust performance (AUC = 0.97), outperforming the clinical model (AUC = 0.91).

Conclusions:

• Short-term treatment response, functional capacity, and psychosocial factors significantly impact long-term outcomes of temporary PNS.
• Developed nomogram models show potential for personalized patient selection in neuromodulation.
• Findings require external validation in independent cohorts for confirmation.