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Clinical utility of inflammatory biomarkers in COVID‐19‐related sudden sensorineural hearing loss

BACKGROUND: The etiology and pathophysiological mechanisms of sudden sensorineural hearing loss (SSNHL) remain unclear, but it is generally believed to be associated with viral infections, vascular diseases, and autoimmune disorders. Considering that coronavirus disease 2019 (COVID‐19) is promising...

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Detalles Bibliográficos
Autores principales: Zhang, Xu, Chen, Li, Guan, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583738/
https://www.ncbi.nlm.nih.gov/pubmed/37904686
http://dx.doi.org/10.1002/iid3.1055
Descripción
Sumario:BACKGROUND: The etiology and pathophysiological mechanisms of sudden sensorineural hearing loss (SSNHL) remain unclear, but it is generally believed to be associated with viral infections, vascular diseases, and autoimmune disorders. Considering that coronavirus disease 2019 (COVID‐19) is promising candidates for SSNHL, we studied the immune cells changes by COVID‐19 in patients with SSNHL. METHODS: We collected data from 47 patients with SSNHL and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) positive. Patients were divided into ineffective or effective groups based on the degree of hearing recovery at discharge. Clinical information was collected and processed for both groups. Logistic regression models were used to determine the risk factors for an unfavorable prognosis in COVID‐19‐related SSNHL. Receiver operating characteristic (ROC) curves were used to estimate the predictive value. RESULTS: There was statistically significant difference in C‐reactive protein (CRP), auditory curve, degree decline, pretreatment hearing, posttreatment hearing, systolic blood pressure, diastolic blood pressure, total bilirubin, neutrophil‐to‐lymphocyte ratio (NLR), systemic immune‐inflammation index (SII), indirect‐bilirubin and platelet count between groups (p < 0.05). In the logistic regression model, high levels of SII and NLR were associated with treatment ineffectiveness, pre‐ and postcorrectively (both, p < 0.05). And ROC curve analysis showed higher AUC of 0.765 for SII, 0.697 for NLR,0.681 for CRP, and 0.553 for platelet‐to‐lymphocyte ratio (PLR) in predicting treatment outcomes. CONCLUSION: The prognosis of COVID‐19‐related SSNHL was associated with inflammation. SII, NLR and CRP could serve as predictive markers of unfavorable outcomes in COVID‐19‐related SSNHL. SII may be considered an independent risk factor for poor prognosis in COVID‐19‐related SSNHL.