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Association between CD16++ monocytes in peripheral blood and clinical features and short-term therapeutic effects of polycystic ovary syndrome

Tang L, Ye J, Shi Y, Zhu X

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2019

70 participants

Abstract

OBJECTIVE: To evaluate the association between CD16++ monocytes in peripheral blood and the clinical features and short-term therapeutic effects of polycystic ovary syndrome (PCOS).

METHODS: This prospective cross-sectional study included women diagnosed with PCOS at a University Hospital in Shanghai, China, between June 4 and November 28, 2016. Patients received Diane-35, metformin, or both combined for 3 months. We collected anthropometric measures and used flow cytometry to detect CD16++ monocytes.

RESULTS: The final analysis included 70 patients: 18 in the Diane-35 group, 30 in the metformin group, and 22 in the Diane-35 plus metformin group. The control group comprised 60 women without PCOS. The proportion of CD16++ monocytes was significantly higher in patients with PCOS than in those with no PCOS (16.05% vs 10.73%; P=0.001). The proportion differed significantly between patients with and those without hyperandrogenism (13.12% vs 17.30%; P=0.002) and showed moderate accuracy in diagnosing hyperandrogenism before treatment. We noted a decrease in monocytes post-treatment in patients given metformin and Diane-35 plus metformin.

CONCLUSIONS: The proportion of CD16++ monocytes was most significantly associated with hyperandrogenism before treatment. Our findings suggest that the proportion of CD16++ monocytes in peripheral blood might be related to the inflammatory condition of PCOS.

How strong is the evidence?

Evidence Hub reads this as a case-control, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 70 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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