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. 2024 Jan;91(1):e13808.
doi: 10.1111/aji.13808.

The predictive value of serum IL-17A and IL-6 expression in postoperative recurrence in patients with intrauterine adhesion

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The predictive value of serum IL-17A and IL-6 expression in postoperative recurrence in patients with intrauterine adhesion

Xia Cui et al. Am J Reprod Immunol. 2024 Jan.

Abstract

Background: The recurrence rate of intrauterine adhesions (IUA) was high. At present, there are few studies on the relationship between proinflammatory factors IL-17A and IL-6 and IUA. The expression of serum IL-17A and IL-6 in IUA patients and their predictive value for postoperative recurrence were retrospectively analyzed.

Methods: A total of 90 IUA patients who underwent hysteroscopic adhesion lysis in our hospital from January 2020 to January 2023 were selected as the IUA group. Patients were divided into mild, moderate, and severe IUA groups. At the same time, 60 cases of secondary infertility patients with normal endometrium were selected as the control group. The clinical baseline characteristics and serum levels of IL-17A and IL-6 were compared between control group and IUA group. To analyze the correlation and predictive value of IL-17A and IL-6 expression levels with the recurrence rate of IUA patients.

Results: The preoperative levels of IL-17A and IL-6 in the IUA group were significantly higher than those in the control group. The higher the levels of inflammatory factors IL-17A and IL-6, the deeper the degree of IUA. Multivariate analysis showed that pregnancy, curettage history, IL-17A, and IL-6 levels were risk factors for IUA recurrence. In addition, the specificity and area under the curve of combining baseline data with postoperative serum IL-17A and IL-6 for predicting IUA were higher than those predicted separately.

Conclusion: The expression levels of serum IL-17A and IL-6 can be used as a value index to evaluate postoperative recurrence in IUA patients.

Keywords: IL-6; interleukin (IL)-17A; intrauterine adhesion (IUA); predictive value; risk factors.

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