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Mengying Mao on Muck Rack

Mengying Mao

As seen in: Frontiers in Immunology
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Articles

A multicenter prospective cohort study developing and validating a SIRI-based machine learning model and simplified risk score for predicting postherpetic neuralgia

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By Fangzheng Cao, huili Liu, Wenjing Wu, Bin Xu Verified, Mengying Mao, Yongxing Yan
| Frontiers in Immunology
Abstract Background: Postherpetic neuralgia (PHN) is the most common and severe complication of herpes zoster (HZ), and early identification of high-risk patients remains a major clinical challenge. The systemic inflammatory response index (SIRI) is a novel inflammatory marker that has demonstrated prognostic value in multiple diseases, but its association with the risk of PHN development has not been reported to date.
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