The Journal of Clinical Endocrinology and Metabolism Journal Article

Idiopathic Hirsutism and Metabolic Status

January 03, 2023
 

Leila Mahmoudieh, Mina Amiri, Maryam Rahmati, Ali Siamak Habibi Moeini, Farzaneh Sarvghadi, Fereidoun Azizi, Fahimeh Ramezani Tehrani
The Journal of Clinical Endocrinology & Metabolism, First published online September 20, 2022, dgac538
https://doi.org/10.1210/clinem/dgac538

Abstract

Background

A limited number of studies have investigated the impact of idiopathic hirsutism (IH) on cardiometabolic parameters with contradictory and inconclusive results. This study aimed to explore the effect of IH on metabolic outcomes.

Method

In this population-based prospective study, 334 women with IH and 1226 women as healthy controls were selected from Tehran Lipid and Glucose Study. The generalized estimation equations method was applied to investigate the secular longitudinal trends of metabolic indices, including fasting blood sugar (FBS), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL), non-HDL, triglyceride (TG), systolic blood pressure (SBP), diastolic blood pressure (DBP), and waist circumference (WC) in both groups. Unadjusted and adjusted Cox regression models were applied to assess the hazard ratios (HR) and 95% CIs for the association between IH and metabolic disorders. Potential confounding factors such as age, body mass index, smoking, physical activity, history of hypertension (HTN), and family history of diabetes were included in the adjusted model.

Results

This study showed that compared with healthy controls, women with IH had lower SHBG and higher total testosterone (median [interquartile ratio; IQR]: 0.37 [0.16–0.70] vs 0.33 [0.14–0.58]; P = 0.01), free androgen index (median [IQR]: 0.85 [0.38–1.54] vs 0.54 [0.26–0.97]; P = 0.001), androstenedione (median [IQR]: 1.60 [1.00–2.25] vs 1.10 [0.90–1.70]; P = 0.001), and dehydroepiandrosterone sulfate (median [IQR]: 168.5 [91.1–227.8] vs 125.2 [66.3–181]; P = 0.001). Over time, mean changes of FBS, HDL-C, LDL-C, non-HDL-C, TG, SBP, DBP, and WC were not significantly different in women with IH, compared with healthy controls. According to the unadjusted Cox regression model, except for type 2 diabetes mellitus (T2DM) (HR [95% CI]: 1.45 [1.00–2.11]) P = 0.05; there was no statistically significant difference in hazard of metabolic disorders (ie, HTN, pre-HTN, pre-T2DM, and metabolic syndrome) in IH, compared with healthy controls. Besides, the adjusted Cox regression model showed no significant differences in the hazard of these outcomes.

Conclusion

This study showed no significant difference in overtime mean changes of metabolic risk factors and cardiometabolic outcomes in women with IH, compared with the healthy control group, except marginally significant difference on T2DM, which disappeared after further adjustment for potential confounders. Accordingly, routine screening of women for these metabolic outcomes should not recommend.

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