To investigate the association between preoperative peripheral venous blood biomarkers and postmenopausal endometrioid endometrial carcinoma (EEC) and to develop a clinical risk prediction model.
Approach:
Study Design: A retrospective study was conducted on patients who underwent hysteroscopic examination in the Department of Gynecology, Zhejiang Provincial People’s Hospital, between 2018 and 2024.
Data Collection: Clinical data, pathological findings, and peripheral venous blood test results were collected.
Statistical Analysis: The t-test and LASSO regression analysis were performed to identify potential risk factors, followed by logistic regression analysis to determine independent risk factors.
Model Development: A clinical risk prediction model was developed based on identified factors and assessed for discriminative and calibration abilities.
Implementation: The model was deployed in an online calculator for clinical application.
Key Findings:
Five independent risk factors identified: BMI, CA125, HE4, PLR, and ALB.
The clinical prediction model achieved an AUC of 0.936 (95% CI: 0.9081–0.9631).
Model specificity was 89.1% and sensitivity was 90.1%.
Interpretation:
The clinical risk prediction model based on preoperative blood biomarkers demonstrated robust predictive performance.
Limitations:
The study is retrospective and may have selection bias.
Limited to a single institution, which may affect generalizability.
Conclusion:
BMI, CA125, HE4, PLR, and ALB were identified as independent risk factors for postmenopausal EEC, supporting the model's potential application in clinical decision-making.
