ArticleFrontiers in medicine2025
Construction of influencing factors and nomogram prediction model for post-herpetic neuralgia based on T cell function and inflammatory factors.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Nomogram-Based Prediction Model for Postherpetic Neuralgia in Immunosuppressive Patients.Journal of clinical medicine · 2026Article
- Unraveling immune-inflammation-aging network interactions: an interpretable machine learning model predicts the risk of postherpetic neuralgia.Frontiers in immunology · 2026Article
- A pilot imaging mass cytometry study of cutaneous nerve-immune cell interactions in post-herpetic neuralgia.Frontiers in immunology · 2026Article
- Development and External Validation of a Nomogram for Predicting Postherpetic Neuralgia Risk in Patients with Herpes Zoster: A Retrospective Cohort Study.Journal of pain research · 2026Article
- Imbalance of T cell subsets: a core event that mediates the progression of T2DM and its complications.Frontiers in immunology · 2025Review
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Authors and funding
2 authors.
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Abstract
Objective: To explore the feasibility and clinical value of establishing a prediction model of post-herpetic neuralgia (PHN) based on T cell functional indicators (CD4+/CD8+ ratio, Treg cell ratio) and inflammatory factors (IL-6, TNF- Methods: A total of 260 patients with herpes zoster who were admitted to our hospital from June 2022 to November 2024 were included in the study. The 7:3 score was used as the training set ( Results: The incidence of PHN in the training set was 29.67%(54/182) and the verification set was 30.77%(24/78). Multivariate regression analysis showed that age, CD4+/CD8+ ratio, Treg cell ratio, IL-6, TNF- Conclusion: The nomogram model based on T cell function and inflammatory factors can effectively predict the risk of PHN and provide the basis for early clinical intervention.
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