Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jun 15;16(6):2435-2444.
doi: 10.62347/DHAJ4799. eCollection 2024.

Risk factors for benign paroxysmal positional vertigo and construction of a nomogram predictive model

Wenping Cao  1 , Yang Geng  1 , Jun Chang  2 , Feifei Li  1
Affiliations

Risk factors for benign paroxysmal positional vertigo and construction of a nomogram predictive model

Wenping Cao et al. Am J Transl Res. .

Abstract

Background: To analyze the risk factors for benign paroxysmal positional vertigo (BPPV) and to construct a predictive nomogram model.

Methods: In this retrospective study, 312 participants were enrolled, including 164 BPPV patients and 148 healthy subjects without BPPV. Risk predictors for BPPV were identified using univariate and multivariate analyses, and a clinical nomogram was constructed. The predictive accuracy was assessed by unadjusted concordance index (C-index) and calibration plot.

Results: Univariate and multivariate regression analysis identified stroke (95% CI, 0.575-5.954; P=0.022), hyperlipidemia (95% CI, 0.471-4.647; P=0.003), chronic suppurative otitis media (95% CI, 1.222-45.528; P=0.005), cervical spondylosis (95% CI, 1.232-3.017; P=0.005), and osteoporosis (95% CI, 1.130-3.071; P=0.001) were the independent risk factors for BPPV. These risk factors were used to construct a clinical predictive nomogram. The regression equation was: logit (P) = -6.820 + 0.450 * stroke + hyperlipidemia * 0.312 + chronic suppurative otitis media * 0.499 + cervical spondylosis * 0.916 + osteoporosis * 0.628. The calibration curves demonstrated excellent accuracy of the predictive nomogram. Decision curve analysis showed that the predictive model is clinically applicable when the threshold probability was between 20% and 60%.

Conclusions: Stroke, hyperlipidemia, chronic suppurative otitis media, cervical spondylosis and osteoporosis are independent risk predictors for BPPV. The developed nomogram is useful in predicting the risk of BPPV.

Keywords: Benign paroxysmal positional vertigo; nomogram; predictive effect; risk factors.

PubMed Disclaimer

Conflict of interest statement

None.

Figures

Figure 1
Figure 1
Nomogram for predicting the risk of BPPV. CSOM: chronic suppurative otitis media; CS: cervical spondylosis.
Figure 2
Figure 2
Calibration curves for nomogram in predicting BPPV risk. BPPV: Benign paroxysmal positional vertigo.
Figure 3
Figure 3
ROC curves of the monogram in predicting the BPPV risk. BPPV: Benign paroxysmal positional vertigo.
Figure 4
Figure 4
Decision curve analysis for the nomogram. BPPV: Benign paroxysmal positional vertigo.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Kim JS, Zee DS. Clinical practice. Benign paroxysmal positional vertigo. N Engl J Med. 2014;370:1138–1147. - PubMed
    1. Imai T, Inohara H. Benign paroxysmal positional vertigo. Auris Nasus Larynx. 2022;49:737–747. - PubMed
    1. Habs M, Strobl R, Grill E, Dieterich M, Becker-Bense S. Primary or secondary chronic functional dizziness: does it make a difference? A DizzyReg study in 356 patients. J Neurol. 2020;267(Suppl 1):212–222. - PMC - PubMed
    1. Alla S, Rao MY, Aslam SM. Clinical profiles of elderly patients presenting with persistent dizziness. J Natl Med Assoc. 2020;112:362–373. - PubMed
    1. Lim YH, Kang K, Lee HW, Kim JS, Kim SH. Gait in benign paroxysmal positional vertigo. Front Neurol. 2021;12:633393. - PMC - PubMed

LinkOut - more resources