Risk assessment of residual dizziness after repositioning in patients with benign paroxysmal positional vertigo according on multivariate analysis and nomogram.
10.13201/j.issn.2096-7993.2025.10.005
- Author:
Yanning YUN
1
;
Xinyu XU
2
;
Hansen ZHAO
1
;
Ru HAN
3
;
Jing LIU
1
;
Suining XU
4
;
Guirong LI
5
;
Juanli XING
1
Author Information
1. Department of Otorhinolaryngology Head and Neck Surgery，the First Affiliated Hospital of Xi'an Jiaotong University，Xi'an，710061，China.
2. Epidemiology and Health Statistics，School of Public Health，Xi'an Jiaotong University.
3. Department of Neurology，Xixiang County People's Hospital.
4. Department of Cardiology，the First Affiliated Hospital of Xi'an Medical University.
5. General Medicine，the First Hospital of Northwest University.
- Publication Type:Journal Article
- Keywords:
benign paroxysmal positional vertigo;
diabetes;
motion sickness;
recurrence;
residual symptoms;
risk factors
- MeSH:
Humans;
Nomograms;
Benign Paroxysmal Positional Vertigo/therapy*;
Dizziness/etiology*;
Risk Factors;
Risk Assessment;
Multivariate Analysis;
Male;
Female;
Logistic Models;
Middle Aged;
Patient Positioning;
Adult
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(10):923-929
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical characteristics of residual dizziness（RD） after repositioning in patients with benign paroxysmal positional vertigo（BPPV）, identify its potential risk factors, and develop a predictive risk model. Methods:A total of 137 patients diagnosed with BPPV at the First Affiliated Hospital of Xi'an Jiaotong University between January 2023 and June 2023 were enrolled. Based on the presence or absence of subjective discomfort within 3 months after successful repositioning, patients were divided into the non-RD group（NRD, n=93） and the RD group（n=44）. Differences in demographic characteristics, comorbidities, and disease-related features were compared between groups. Multivariate logistic regression analysis was used to identify independent risk factors for RD, and a nomogram was constructed based on these factors. The predictive performance of the model was assessed using the area under the curve（AUC）. Results:The RD group showed significantly higher values in body mass index, prevalence of diabetes and motion sickness history, dizziness duration before repositioning, history of repositioning at external hospitals, number of treatments, and recurrence（all P<0.001）. Multivariate logistic regression revealed that diabetes（adjusted OR=8.73, P=0.039）, motion sickness history（adjusted OR=23.08, P<0.001）, dizziness duration ≥30 days before repositioning（adjusted OR=15.16, P<0.001）, and recurrence（adjusted OR=15.72, P=0.001） were independent risk factors for RD. The nomogram model based on these variables demonstrated good predictive ability, with an AUC of 0.804（95%CI 0.684-0.924）. Conclusion:Diabetes, motion sickness history, dizziness duration ≥30 days, and recurrence are independent risk factors for RD after repositioning in patients with BPPV. The nomogram model based on these variables shows good predictive performance, with recurrence having the highest predictive value. This model can aid in early identification of high-risk patients and guide individualized intervention strategies.
