Characteristics and clinical significance of neutrophil to lymphocyte ratio in patients with sudden sensorineural hearing loss.
10.13201/j.issn.2096-7993.2025.01.008
- Author:
Yibo CHEN
1
;
Yunfang AN
1
;
Changqing ZHAO
1
;
Limin SUO
1
Author Information
1. Department of ENT，the Second Hospital of Shan Xi Medical University，Shanxi Airway Inflammatory Diseases Neuroimmunity Laboratory，Taiyuan，030001，China.
- Publication Type:Journal Article
- Keywords:
neutrophil percentage-to-bilirubin ratio;
neutrophil-to-lymphocyte ratio;
nomogram;
sudden sensorineural hearing loss;
systemic immune-inflammation index
- MeSH:
Humans;
Neutrophils;
Female;
Male;
Lymphocytes;
Hearing Loss, Sensorineural/blood*;
Hearing Loss, Sudden/diagnosis*;
Middle Aged;
Prognosis;
Nomograms;
ROC Curve;
Adult;
Logistic Models;
Biomarkers/blood*;
Lymphocyte Count;
Inflammation/blood*;
Clinical Relevance
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(1):34-41
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Inflammation has been confirmed to play an important role in the occurrence and development of sudden sensorineural hearing loss（SSNHL）, and the neutrophil-to-lymphocyte ratio（NLR） is a biomarker positively correlated with the degree of inflammation. This study aims to identify the difference in serum NLR between patients with SSNHL and normal population, and to evaluate the predictive efficacy of NLR for the occurrence and prognosis of SSNHL, thereby guiding the clinical diagnosis and treatment of SSNHL. Methods:In this study, 96 patients diagnosed with SSNHL admitted to our department from January 2023 to March 2024 and 96 patients diagnosed with vocal cord polyps admitted to our department during the same period were recruited as a control group. Multivariate Logistic regression was used to evaluate independent related factors, and a nomogram was constructed to predict the probability of SSNHL. The receiver operating characteristic（ROC） curve and calibration curve were used to evaluate the accuracy of prediction. Results:Multivariate logistic regression analysis showed that a high level NLR（OR2.215; 95%CI1.597-3.073; P<0.001） were independently associated with the presence of SSNHL. High age（OR1.036; 95%CI1.009-1.067; P=0.012）, high FIB（OR2.35; 95%CI1.176-4.960; P=0.019） were the risk factor for SSNHL. Incorporating these 3 factors, a forest plot and a nomogram were generated. The ROC curve, nomogram and calibration curve showed that the model had good clinical practicability. A low NLR（OR0.598; 95%CI0.439-0.816; P<0.001） was significantly associated with a favorable prognosis of SSNHL. Conclusion:Elevated NLR can serve as an promising biomarker for assessing the risk of SSNHL. The nomograms calculation model may be utilized as a tool to estimate the probability of SSNHL. Low level NLR is significantly associated with a good prognosis of SSNHL.
