ArticleBMC women's health2024
Impact of serum lipid on recurrence of uterine fibroids: a single center retrospective study.
Article in BMC women's health, 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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Who cites it
3 citing papers in PubMed.
- The association of triglyceride-glucose index and uric acid-high-density lipoprotein cholesterol ratio with the risk of uterine fibroids: a real-world analysis based on health examination data.Journal of health, population, and nutrition · 2026Article
- Article
- Exploring the Recurrence Risk Factors and Development of a Nomogram Prediction Model for Uterine Fibroid Patients Post-Myomectomy Based on Patient Medical Records.International journal of women's health · 2025Article
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3 authors.
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Abstract
backgroundWe aimed to analyze the correlation between serum lipid levels [total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C)] and recurrence after uterine fibroids (UF) resection, and explore the predictive value of serum lipid levels in determining recurrence after myomectomy.
methodsIn this retrospective cohort study, 323 patients undergoing first myomectomy who came from Li Huili Hospital, Ningbo Medical Center between December 2019 and January 2023 were included. The primary endpoint was the recurrence of UF within 12 months following surgery. Univariate and multivariate logistic regression analyses were adopted to evaluate the association between four serum lipid parameters and the risk of UF recurrence. All included patients were randomly assigned to the training group for nomogram development and the testing group for nomogram validation, with a ratio of 7:3. Receiver operator characteristic, calibration curves, and decision curve analysis were used to assess the predicting performance of constructed nomograms.
resultsTotally, 98 developed the recurrence of UF within 12 months following surgery. Multivariate logistic regression analyses indicated that high levels of TC [odds ratio (OR) = 9.98, 95% confidence interval (CI): 4.28-23.30], LDL-C (OR = 11.31, 95% CI: 4.66-27.47) and HDL-C (OR = 2.37, 95% CI: 1.21-4.64) were associated with recurrence of UF risk. The association between TG level and UF recurrence risk did not statistical significance (P > 0.05). Four online prediction nomograms by integrating serum lipid levels and clinical features for predicting the risk of recurrence of UF were developed (TC-model, TG-model, LDL-C-model and HDL-C-model). Through verification, these models may have good prediction performance for predicting the recurrence of UF risk.
conclusionThis study developed and validated prediction nomograms for predicting the risk of UF recurrence. These nomograms can provide individual risk assessment for UF recurrence.
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