Nomogram-Based Prediction Model for Postherpetic Neuralgia in Immunosuppressive Patients.

Area of Science:

• Immunology
• Virology
• Pain Medicine

Background:

• Herpes zoster reactivation causes postherpetic neuralgia (PHN), a chronic pain condition.
• Immunosuppressed individuals have a higher risk of developing PHN.
• Identifying PHN predictors in this population is crucial for risk stratification.

Purpose of the Study:

• To identify clinical factors associated with PHN development in immunosuppressed patients.
• To develop and validate a predictive nomogram for PHN risk.

Main Methods:

• Retrospective cohort study of 219 immunosuppressed patients.
• Logistic regression analysis to identify PHN predictors.
• Nomogram construction and validation using training and test cohorts.

Main Results:

• Metabolic syndrome, older age, elevated lactate dehydrogenase (LDH), and high neutrophil-to-lymphocyte ratio (NLR) were significant PHN predictors.
• The nomogram demonstrated good discrimination in both training (AUC 0.83) and test cohorts (AUC 0.85).
• Clinical decision curve analysis confirmed the nomogram's practical utility.

Conclusions:

• A nomogram integrating age, metabolic syndrome, LDH, and NLR effectively estimates PHN risk in immunosuppressed patients.
• This tool can aid in identifying high-risk individuals for targeted interventions.