Development and internal validation of a vaginal microecology-based multivariable prediction model for persistent high-risk human papillomavirus infection: a retrospective study - Report - MDSpire
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Development and internal validation of a vaginal microecology-based multivariable prediction model for persistent high-risk human papillomavirus infection: a retrospective study
Clinical Report: Multivariable Prediction Model for Persistent HR-HPV Infection
Overview
This study developed and validated a prediction model for persistent high-risk HPV (HR-HPV) infection using vaginal microecological and clinical characteristics.
Background
Persistent HR-HPV infection is a significant risk factor for cervical cancer. This study explores the integration of vaginal microecology into risk prediction models.
Data Highlights
Variable
Odds Ratio (OR)
95% Confidence Interval (CI)
P-value
HPV16/18 infection
8.564
5.383–13.955
< 0.001
Key Findings
354 out of 1,186 women (29.8%) had persistent/recurrent HR-HPV positivity at 12 months.
Seven predictors were identified: age, smoking status, HPV16/18 infection, vaginal pH, non-Lactobacillus-dominant microbiota, bacterial vaginosis, and moderate-to-severe local inflammation.
The final model showed an AUC of 0.892 in the training cohort and 0.821 in the validation cohort.
Calibration was acceptable with Hosmer–Lemeshow P-values of 0.149 and 0.296 for the training and validation cohorts, respectively.
Decision curve analysis indicated net clinical benefit across a range of threshold probabilities.
Clinical Implications
External validation in independent cohorts is necessary before implementation in clinical practice.
Conclusion
The study presents a multivariable prediction model for persistent HR-HPV infection based on vaginal microecology.