Objectives: We aimed to explore the epidemiological characteristics of suspected adenomyosis within a physical examination population in China.
Design: A retrospective, nested case-control study; we matched healthy people and those with potential adenomyosis on a 1:2 ratio by age.
Setting: A tertiary hospital health management centre.
Participants: We included 15-60 years old women who underwent at least one uterine examination from October 2017 to December 2020, excluding those who had undergone hysterectomy and menopause.
Primary and secondary outcome measures: We estimated the incidence and prevalence rate of suspected adenomyosis. Conditional logistic regression was used to estimate associations between serum biomarkers and potential adenomyosis. Areas under the receiver-operating characteristic curves (AUC) were used to determine the cut-off point of the cancer antigen 125 (CA125) level for suspected adenomyosis.
Results: A total of 30 629 women had uterus-related imaging examinations; 877 had suspected adenomyosis. The standardised incidence and prevalence of suspected adenomyosis was 1.32% and 2.35%, respectively, for all age groups. The conditional logistic regression analysis results showed that total bilirubin≥18.81 µmol/L (HR: 2.129; 95% CI 1.067 to 4.249; p<0.0321) and CA125 levels (HR: 1.014; 95% CI 1.002 to 4.731; p<0.0273) were positively correlated with onset of suspected adenomyosis; body mass index>24 kg/m2 (HR: 1.262; 95% CI 1.055 to 1.511; p<0.0109), CA125 levels (HR: 1.007; 95% CI 1.006 to 1.009; p<0.0001), and blood platelet levels (HR: 1.002; 95% CI 1 to 1.003; p<0.0141) were positively correlated with potential adenomyosis. The optimal cut-off of CA125 for new suspected adenomyosis was 10.714 U/mL, with a sensitivity of 77.42%, specificity of 53.76%, and AUC of 0.7841 (95% CI 0.7276 to 0.8407).
Conclusions: The disease burden of suspected adenomyosis remains huge and can be informed by biomarkers. The disease-specific threshold of CA125 will support further preventive strategy development in population.
Trial registration number: ChiCTR2100049520, 2021/8/2.
Keywords: community gynaecology; epidemiologic studies; factor analysis, statistical.
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