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The approach to hyperandrogenism in women varies depending on the woman's age and severity of symptoms. Once tumorous hyperandrogenism is excluded, the most common cause is PCOS. Hirsutism is the most common presenting symptom. The woman's concern about her symptoms plays an important role in the management of disease. Although measurement of testosterone is useful in identifying an underlying cause, care must be taken when interpreting the less accurate assays that are available commercially. Surgical resection is curative in tumorous etiologies, whereas medical management is the mainstay for non-tumorous causes., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder because of the variable criteria used for diagnosis. Therefore, International Classification of Diseases 9 (ICD-9) codes may not accurately capture the diagnostic criteria necessary for large scale PCOS identification. We hypothesized that use of electronic medical records text and data would more specifically capture PCOS subjects. Methods: Subjects with PCOS were identified in the Partners Healthcare Research Patients Data Registry by searching for the term "polycystic ovary syndrome" using natural language processing (n = 24,930). A training subset of 199 identified charts was reviewed and categorized based on likelihood of a true Rotterdam PCOS diagnosis, i.e. two out of three of the following: irregular menstrual cycles, hyperandrogenism and/or polycystic ovary morphology. Data from the history, physical exam, laboratory and radiology results were codified and extracted from notes of definite PCOS subjects. Thirty-two terms were used to build an algorithm for identifying definite PCOS cases and applied to the rest of the dataset. The positive predictive value cutoff was set at 76.8 % to maximize the number of subjects available for study. A true positive predictive value for the algorithm was calculated after review of 100 charts from subjects identified as definite PCOS cases with at least two documented Rotterdam criteria. The positive predictive value was compared to that calculated using 200 charts identified using the ICD-9 code for PCOS (256.4; n = 13,670). In addition, a cohort of previously recruited PCOS subjects was submitted for algorithm validation. Results: Chart review demonstrated that 64 % were confirmed as definitely PCOS using the algorithm, with a 9 % false positive rate. 66 % of subjects identified by ICD-9 code for PCOS could be confirmed as definitely PCOS, with an 8.5 % false positive rate. There was no significant difference in the positive predictive values using the two methods (p = 0.2). However, the number of charts that had insufficient confirmatory data was lower using the algorithm (5 % vs 11 %; p < 0.04). Of 477 subjects with PCOS recruited and examined individually and present in the database as patients, 451 were found within the algorithm dataset. Conclusions: Extraction of text parameters along with codified data improves the confidence in PCOS patient cohorts identified using the electronic medical record. However, the positive predictive value was not significantly different when using ICD-9 codes or the specific algorithm. Further studies are needed to determine the positive predictive value of the two methods in additional electronic medical record datasets. [ABSTRACT FROM AUTHOR]

The etiology of polycystic ovary syndrome (PCOS) has been difficult to determine because its features are heterogeneous, and its origin may also be heterogeneous. Twin studies suggest that its etiology is strongly heritable and genetic approaches are rapidly uncovering new regions of the genome that appear to confer risk for PCOS. Recent genome-wide association studies in Han Chinese women with PCOS demonstrate 11 genetic loci that are associated with PCOS. The variants identified are in regions that contain genes important for gonadotropin action, genes that are associated with risk for type 2 diabetes, and other genes in which the relationship to PCOS is not yet clear. Replication studies have demonstrated that variants at several of these loci also confer risk for PCOS in women of European ethnicity. The strongest loci in Europeans contain genes for DENND1A and THADA, with additional associations in loci containing the LHCGR and FSHR, YAP1 and RAB5/SUOX. The next steps in uncovering the pathophysiology borne out by these loci and variants will include mapping to determine the causal variant and gene, phenotype studies to determine whether these regions are associated with particular features of PCOS and functional studies of the causal variant to determine the direct cause of PCOS based on the underlying genetics. The next years will be very exciting times as groups from around the world come together to further elucidate the genetic origins of PCOS. [ABSTRACT FROM AUTHOR]

Women with polycystic ovary syndrome (PCOS) are at risk for metabolic syndrome, which may be exacerbated by smoking. We hypothesized that smoking worsens androgen levels and the metabolic profile in women with PCOS. PCOS smokers ( n = 47) and non-smokers ( n = 64) and control smokers ( n = 30) and non-smokers ( n = 28), aged 18-45 years, underwent anthropomorphic measurements, pelvic ultrasound and blood sampling. Smokers had higher cotinine (801 ± 83 versus <11 nmol/L; smokers versus non-smokers, respectively; p < 0.001) and nicotine levels (37 ± 4 versus <12 µmol/L; p < 0.001). Triglyceride levels were higher in women with PCOS who smoked compared to non-smokers (1.55 ± 0.18 versus 0.95 ± 0.08 mmol/L; p < 0.001), even when adjusted for BMI. Metabolic syndrome was more common in smokers with PCOS compared to non-smokers with PCOS and smokers who were controls (28.6 versus 3.6%; p = 0.02). There were no differences in reproductive parameters including androgen levels. Cotinine ( r = 0.3; p < 0.001) and nicotine levels ( r = 0.2; p = 0.005) correlated with triglycerides. Nicotine levels also correlated with pulse rate ( r = 0.2; p = 0.02) and waist:hip ratio (WHR; r = 0.2; p = 0.02). Taken together, smoking may worsen the already high risk for metabolic syndrome in women with PCOS. [ABSTRACT FROM AUTHOR]

Objective: To determine age-based criteria for polycystic ovary morphology.Design: Cross-sectional, case-control design.Setting: Outpatient setting.Subject(s): Women with polycystic ovary syndrome (PCOS) defined by hyperandrogenism and irregular menses (n = 544) and controls with regular menses and no evidence of hyperandrogenism (n = 666) participated. Parameters were tested in a second cohort of women with PCOS (n = 105) and controls (n = 32) meeting the same criteria.Intervention(s): Subjects underwent a pelvic ultrasound documenting ovarian volume and maximum follicle number in a single plane.Main Outcome Measure(s): A receiver operating characteristic curve was constructed to determine the ovarian volume and follicle number with the best sensitivity and specificity to define PCOS for age groups at approximately 5-year intervals from age 18 to >44 years.Result(s): The best sensitivity and specificity were obtained using a threshold volume of 12 mL and 13 follicles for ages ≤24 years, 10 mL and 14 follicles for ages 25-29 years, 9 mL and 10 follicles for ages 30-34 years, 8 mL and 10 follicles for ages 35-39 years, 10 mL and 9 follicles for ages 40-44 years, and 6 mL and 7 follicles for ages >44 years. Data from a second cohort confirmed the need to decrease volume and follicle number with increasing age to diagnose PCOS. Polycystic ovary morphology was most accurate at predicting the PCOS diagnosis for women ages 30-39 years.Conclusion(s): The ovarian volume and follicle number threshold to define polycystic ovary morphology should be lowered starting at age 30. [ABSTRACT FROM AUTHOR]