Work

The prognostic value of systemic immune-inflammation index and lymphocyte-to-monocyte ratio in cases with profound sudden sensorineural hearing loss

Year: 2025

Type: article

Abstract: OBJECTIVES: To evaluate the prognostic value of SII and LMR in predicting hearing recovery outcomes in profound SSHL cases. METHODS: The relationships between inflammatory markers and hearing outcomes were assessed using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive accuracy of SII and LMR for recovery outcomes. RESULTS: The study revealed that SII and LMR were linked to hearing recovery in profound SSHL. Cases in the complete recovery group had significantly lower SII (806.57 ± 217.26) and higher LMR (2.14 ± 0.94) compared to those in the partial and no recovery groups (P < 0.001 for both). Multivariate logistic regression identified Tbil, SII, and LMR as independent predictors of recovery outcomes. Higher SII and lower LMR were significantly associated with poor recovery, while lower SII and higher LMR predicted better recovery. ROC curve analysis showed that SII and LMR had moderate predictive power for partial recovery (AUC: 0.668 for SII, 0.696 for LMR) and excellent predictive power for no recovery (AUC: 0.804 for SII, 0.819 for LMR). The combination of SII and LMR further enhanced predictive accuracy (AUC: 0.879 for no recovery). CONCLUSION: SII and LMR are valuable biomarkers for predicting recovery outcomes in cases with profound SSHL. Elevated SII and reduced LMR are associated with poor recovery, while lower SII and higher LMR suggest a favorable prognosis. The combined use of these markers improves the accuracy of prognosis prediction and could guide clinical management in SSHL cases.

Source: American Journal of Otolaryngology

DOI: 10.1016/j.amjoto.2025.104671

Authors: Kun Zhao, Hongfeng Ma

Institution: Fifth Tianjin Central Hospital

Language: English

Topic: Vestibular and auditory disorders

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,630