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March 6, 2026SHILAP Revista de lepidopterología2 citationsOpen Access

Risk-stratified surveillance after LEEP: a nomogram integrating HPV persistence, margin status, and clinical factors to predict CIN2+ recurrence

HSHaixia ShangXSXiaofeng ShiHYHongxin Yu

Key Points

  • The study aims to create a nomogram to predict the recurrence of histologically confirmed CIN2+ after LEEP using clinical and demographic factors.
  • Assembled a cohort of women treated with LEEP for CIN2+ in a single center from Jan 2018 to Oct 2024.
  • Analyzed time-to-recurrence using Cox regression and hierarchical domain modeling.
  • Developed a nomogram from the multivariable model to assess discrimination and calibration.
  • Among 2,230 women, 334 (15%) developed CIN2+ recurrence within a median follow-up of 31.8 months.
  • Persistent HPV infection was found in 50.6% of women with recurrence versus 23.1% without (p < 0.001).
  • The final nomogram demonstrated improved discrimination with a C-index of 0.619, predicting recurrence rates for low-, intermediate-, and high-risk groups at 6.2%, 14.8%, and 31.5%, respectively.

Abstract

Background Cervical intraepithelial neoplasia (CIN) recurrence after loop electrosurgical excision procedure (LEEP) remains a clinically consequential barrier to cervical cancer prevention, and risk stratification tools tailored to real-world practice are limited in China. This study developed and internally validated a clinical prediction nomogram for histologically confirmed CIN2+ recurrence after LEEP. Methods A retrospective single-center cohort was assembled of women treated with LEEP for CIN2+ between January 2018 and October 2024. Candidate predictors included demographic and reproductive factors, smoking, HPV vaccination, prior cervical treatment, transformation zone type, LEEP pathology (including adenocarcinoma in situ AIS and margin status), pre-/post-treatment high-risk HPV measures, and neutrophil-to-lymphocyte ratio (NLR). Time-to-recurrence was analyzed using Cox regression with hierarchical domain modeling. A nomogram was constructed from the final multivariable model and evaluated for discrimination and calibration. Results Among 2,230 women (median follow-up 31.8 months, IQR 19.6–43.5), 334 developed CIN2+ recurrence (15.0%), with a median time to recurrence of 15.6 months (IQR 8.2–24.3). Persistent HPV infection occurred in 50.6% of women with recurrence versus 23.1% without recurrence ( p 0.001). Persistent HPV infection (same genotype pre-/post-LEEP) was the strongest independent predictor (adjusted hazard ratio aHR 2.51, 95% CI 1.99–3.16). Additional independent predictors included unvaccinated status (aHR 1.54, 95% CI 1.08–2.20), multiple positive margins (aHR 1.52, 95% CI 1.08–2.14), AIS versus CIN2 (aHR 1.48, 95% CI 1.03–2.12), prior cervical treatment (aHR 1.38, 95% CI 1.04–1.84), single positive margin (aHR 1.38, 95% CI 1.02–1.87), and higher NLR (per one-unit increase: aHR 1.21, 95% CI 1.02–1.44). Model discrimination increased across hierarchical models from 0.516 (model 1) and 0.562 (model 3) to 0.619 in the final model. Risk stratification separated low-, intermediate-, and high-risk groups with observed 24-month recurrence rates of 6.2%, 14.8%, and 31.5%, respectively ( p for trend 0.001). Conclusion In a contemporary Chinese single-center cohort, genotype-defined persistent HPV infection and margin burden were dominant determinants of CIN2+ recurrence after LEEP, with vaccination status and NLR providing additional stratification. The resulting nomogram offers a pragmatic framework for risk-adapted surveillance, pending external multicenter validation.

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Cite This Study

Shang et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f3c531e4c4a9ff59593https://doi.org/10.3389/fonc.2026.1786335
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