ArticleFrontiers in neurology2025
Risk factors and a nomogram model for recurrence of benign paroxysmal positional vertigo: a multicenter cross-sectional study.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and temporal validation of an interpretable prediction model for delayed diagnosis of benign paroxysmal positional vertigo: a retrospective study from Beijing, China.Preventive medicine reports · 2026Article
- A predictive model of serum calcium and 25-hydroxyvitamin D for recurrence of benign paroxysmal positional vertigo in the elderly: a single-center follow-up cohort study.Frontiers in neurology · 2026Article
- Research progress on risk factors of recurrence of benign paroxysmal positional vertigo.Frontiers in neurology · 2025Review
- Causal Relationship Between Hypertension And Vertigo: A Mendelian Randomization Study.Current neurovascular research · 2025Article
- Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study.Frontiers in neurologyArticle
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Abstract
Objective: To explore factors influencing the recurrence of benign paroxysmal positional vertigo (BPPV) within 1 year after treatment with canalith repositioning procedure (CRP) and to construct a risk prediction model with a nomogram. This model aims to offer a scientific basis for of high-risk groups' early identification and to support the development of prevention strategies. Methods: Data of BPPV patients diagnosed and successfully treated with CRP of 5 hospitals in Sichuan Province from Jan 2020 to Mar 2024 were retrospectively analyzed. The patients were divided into a training set of BPPV and a set of validation with a 7:3 ratio. After organizing the clinical data, the training set's patients were arranged into recurrent and non-recurrent subgroups based on the recurrence of BPPV within one-year post-treatment. Factors affecting BPPV recurrence were found using LASSO regression; then, multivariate logistic regression (MLR) analysis was used to build a nomogram-style risk prediction model. The "receiver operating characteristic" (ROC) curve, Hosmer-Lemeshow calibration curve, clinical "decision curve analysis" (DCA), and clinical impact curve were employed to assess the model's discrimination, accuracy, and clinical applicability. Results: 600 patients in all were involved; 180 were in the validation set and 420 in the training set, following a 7:3 split. The overall recurrence rate of BPPV within 1 year was 39.17% (235/600 cases). The recurrence rates in the validation and training sets were 39.44% (71/180 cases) and 39.05% (164/420 cases), respectively. LASSO regression and logistic regression analyses identified hypertension, hyperglycemia, migraine, HADS-A, and 25(OH)D as significant factors for recurrence. On the basis of these factors, a nomogram prediction model for recurrence was established. The validation and training sets had an area under the ROC curve of 0.723 (95%CI: 0.645-0.801) and 0.728 (95%CI: 0.679-0.777), respectively. The "Hosmer-Lemeshow goodness-of-fit (HLGOF) test" indicated satisfactory calibration (training set: chi-square = 8.708, Conclusion: BPPV patients treated with CRP exhibit a high recurrence rate within one-year post-treatment. Hypertension, hyperglycemia, migraine, HADS-A, and 25(OH)D levels were related with increased recurrence risk. The risk prediction model, presented as a nomogram, demonstrated good discrimination and calibration, effectively predicting the BPPV's recurrence risk within 1 year and offering significant clinical utility.
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