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女性雄激素过多症筛查:自我报告的过多体毛生长和月经功能障碍的准确性。

Screening for Androgen Excess in Women: Accuracy of Self-Reported Excess Body Hair Growth and Menstrual Dysfunction.

机构信息

Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.

Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.

出版信息

J Clin Endocrinol Metab. 2020 Oct 1;105(10):e3688-95. doi: 10.1210/clinem/dgz264.

DOI:10.1210/clinem/dgz264
PMID:32442282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7448931/
Abstract

CONTEXT

Epidemiologic studies of polycystic ovary syndrome (PCOS) are limited, especially in populations where diagnostic resources are less available. In these settings, an accurate, low-cost screening tool would be invaluable.

OBJECTIVE

To test the use of a simple questionnaire to identify women at increased risk for PCOS and androgen excess (AE) disorders.

STUDY DESIGN

Prospective cohort study from 2006-2010.

SETTING

Community-based.

PARTICIPANTS

Women aged 14 to 45 years.

INTERVENTION

A screening telephone questionnaire consisting of 3 questions was tested, where participants were asked to self-assess the presence/absence of male-like hair and menstrual irregularity. Participants were then invited to undergo a direct examination, including completing a medical history and undergoing a modified Ferriman-Gallwey (mFG) hirsutism score, ovarian ultrasound, and measurement of circulating total and free testosterone, DHEAS, TSH, prolactin and 17-hydroxyprogesterone levels.

MAIN OUTCOME MEASURE

Accuracy of questionnaire in predicting PCOS, AE, and irregular menses.

RESULTS

Participants with self-assessed irregular menses and/or excess hair were labeled "Possible Androgen Excess (Poss-AE)" and those self-assessed with regular menses and no excess hair were labeled "Probable Non-Androgen Excess (Non-AE)." The study was completed in 206/298 (69%) of the Poss-AE and in 139/192 (73%) of the Non-AE. Of Poss-AE and Non-AE subjects, 82.5% and 15.8%, respextively, presented with PCOS. The calculated sensitivity, specificity, positive predictive value, and negative predictive value of the 3-question telephone survey to predict PCOS was 89%, 78%, 85%, and 83%, respectively.

CONCLUSIONS

A simple telephone questionnaire, based on self-assessment of body hair and menstrual status, can be used with a high predictive value to identify women at risk for AE disorders, including PCOS, and to detect healthy controls. This approach could be an important tool for needed epidemiologic studies.

摘要

背景

多囊卵巢综合征(PCOS)的流行病学研究有限,尤其是在诊断资源较少的人群中。在这些环境下,准确且低成本的筛查工具将是非常有价值的。

目的

测试使用简单问卷识别患有 PCOS 和雄激素过多(AE)障碍风险较高的女性的方法。

研究设计

2006 年至 2010 年进行的前瞻性队列研究。

设置

基于社区。

参与者

年龄在 14 至 45 岁的女性。

干预措施

测试了由 3 个问题组成的筛查电话问卷,其中要求参与者自我评估是否存在男性型毛发和月经不规律。然后邀请参与者进行直接检查,包括完成病史记录和进行改良 Ferriman-Gallwey(mFG)多毛症评分、卵巢超声检查以及测量循环总睾酮和游离睾酮、DHEAS、TSH、催乳素和 17-羟孕酮水平。

主要观察指标

问卷预测 PCOS、AE 和不规则月经的准确性。

结果

自我评估月经不规律和/或毛发过多的参与者被标记为“可能存在雄激素过多(Poss-AE)”,自我评估月经规律且无多余毛发的参与者被标记为“可能不存在雄激素过多(Non-AE)”。在 206/298(69%)名 Poss-AE 和 139/192(73%)名 Non-AE 参与者中完成了研究。Poss-AE 和 Non-AE 组中,分别有 82.5%和 15.8%的人患有 PCOS。基于电话调查的 3 个问题来预测 PCOS 的灵敏度、特异性、阳性预测值和阴性预测值分别为 89%、78%、85%和 83%。

结论

基于自我评估身体毛发和月经状况的简单电话问卷,可以高预测值识别患有 AE 障碍(包括 PCOS)风险的女性,并检测健康对照者。这种方法可能是进行必要的流行病学研究的重要工具。

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