Evidence map›Paper›PMID 39734629›Full record

ArticleFrontiers in neurology2024

Development and verification of a nomogram for recurrence risk of Benign Paroxysmal Positional Vertigo in middle-aged and older populations.

Bo Tang, Chuang Zhang, Dan Wang, Minghua Luo, Yuqin He, Yao Xiong, Xiaojun Yu

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Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bo TangDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Chuang ZhangDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Dan WangDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Minghua LuoDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Yuqin HeDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Yao XiongDepartment of Neurology, First Hospital of Changsha, Changsha, China.
Xiaojun YuDepartment of Neurology, First Hospital of Changsha, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Benign Paroxysmal Positional Vertigo (BPPV) is the most common cause of peripheral vertigo, with frequent recurrence, particularly pronounced among middle-aged and elderly populations, significantly affecting patients' quality of life. This study aimed to identify predictive factors for recurrence in middle-aged and older patients with BPPV and to develop a nomogram prediction model based on these predictors. Methods: This retrospective study included 582 participants aged ≥45 years who were selected from the electronic medical records system of the First Hospital of Changsha between March 2021 and March 2024. Randomly chosen participants ( Results: According to findings from least absolute shrinkage and selection operator (LASSO) binomial regression and logistic regression screening, older age, higher levels of uric acid (UA) and homocysteine (HCY), diabetes, migraine, anxiety, and insomnia were identified as independent factors associated with an increased recurrence risk of BPPV. A nomogram model for predicting recurrence risk was developed based on these predictors. The nomogram achieved an AUC (C-statistic) of 0.8974 (95% CI: 0.8603-0.9345) in the training group and 0.8829 (95% CI: 0.8253-0.9406) in the validation group. Calibration curves, after 1,000 bootstrap resamples, demonstrated good agreement between the predicted and actual probabilities in the development and validation cohorts. DCA indicated that the nomogram had clinical utility. Conclusion: The nomogram model incorporating age, UA, HCY, diabetes, migraine, anxiety status, and insomnia demonstrated a strong predictive capability for estimating the probability of BPPV recurrence in middle-aged and elderly patients. This tool is valuable for identifying individuals at high risk of BPPV recurrence and can aid physicians in making informed treatment decisions aimed at reducing recurrence rates.

Indexed as

Benign Paroxysmal Positional VertigoBPPVnomogramrecurrencerisk factors

Identifiers

PMID39734629
PMCPMC11671359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.