Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study - Takeaways - MDSpire

Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study

  • By

  • Qiaozhi Jin

  • Ziyuan Chen

  • Yong Li

  • Yilong Wang

  • Changyu Duan

  • Yongjie Ying

  • Fude Jin

  • June 15, 2026

  • 0 min

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  • 1

    The study developed a nomogram to predict recurrence of Benign Paroxysmal Positional Vertigo (BPPV) using LASSO and logistic regression.

  • 2

    The 1-year recurrence rate for BPPV patients was found to be 23.97%, highlighting the need for effective risk stratification.

  • 3

    Key predictors identified for recurrence included Diabetes Mellitus, non-posterior canal involvement, and 25-hydroxyvitamin D deficiency.

  • 4

    The nomogram demonstrated strong predictive performance with AUC values of 0.905, 0.872, and 0.853 in training, internal, and external validation sets.

  • 5

    This tool aids in early identification of high-risk BPPV patients, supporting targeted secondary prevention strategies in clinical practice.

Original Source(s)

Development and external validation of a LASSO-based parsimonious nomogram for predicting BPPV recurrence: a multi-center retrospective cohort study

  • by Qiaozhi Jin, Ziyuan Chen, Yong Li, Yilong Wang, Changyu Duan, Yongjie Ying, Fude Jin

  • June 15, 2026

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