Diagnostic Evaluation, Comorbidity Screening, and Treatment of Polycystic Ovary Syndrome in Adolescents in 3 Specialty Clinics

Predicting Unfavorable Pregnancy Outcomes in Polycystic Ovary Syndrome (PCOS) Patients Using Machine Learning Algorithms

Background and Objectives: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical outcomes. The aim of this study was to determine the predictive performance of four machine learning (ML)-based algorithms for the prediction of adverse pregnancy outcomes in pregnant patients diagnosed with PCOS. Materials and Methods: A total of 174 patients equally divided into 2 groups depending on the PCOS diagnosis were included in this prospective study. We used the Mantel-Haenszel test to evaluate the risk of adverse pregnancy outcomes for the PCOS patients and reported the results as a crude and adjusted odds ratio (OR) with a 95% confidence interval (CI). A generalized linear model was used to identify the predictors of adverse pregnancy outcomes in PCOS patients, quantifying their impact as risk ratios (RR) with 95% CIs. Significant predictors were included in four machine learning-based algorithms and a sensitivity analysis was employed to quantify their performance. Results: Our crude estimates suggested that PCOS patients had a higher risk of developing gestational diabetes and had a higher chance of giving birth prematurely or through cesarean section in comparison to patients without PCOS. When adjusting for confounders, only the odds of delivery via cesarean section remained significantly higher for PCOS patients. Obesity was outlined as a significant predictor for gestational diabetes and fetal macrosomia, while a personal history of diabetes demonstrated a significant impact on the occurrence of all evaluated outcomes. Random forest (RF) performed the best when used to predict the occurrence of gestational diabetes (area under the curve, AUC value: 0.782), fetal macrosomia (AUC value: 0.897), and preterm birth (AUC value: 0.901) in PCOS patients. Conclusions: Complex ML algorithms could be used to predict adverse obstetrical outcomes in PCOS patients, but larger datasets should be analyzed for their validation.

Diabetes detection in women with gestational diabetes and polycystic ovarian syndrome

Gestational diabetes mellitus (GDM) and polycystic ovarian syndrome (PCOS) represent two of the highest risk factors for development of type 2 diabetes mellitus in young women. As these increasingly common conditions generally affect younger women, early detection of dysglycemia is key if preventative measures are to be effective. While international guidance recommends screening for type 2 diabetes, current screening strategies suffer from significant challenges.First, guidance lacks consensus in defining which tests to use and frequency of monitoring, thereby sending mixed messages to healthcare professionals.Second, conformity to guidance is poor, with only a minority of women having tests at the recommended frequency (where specified). Approaches to improve conformity have focused on healthcare related factors (largely technology driven reminder systems), but patient factors such as convenience and clear messaging around risk have been neglected.Third, and most critically, current screening strategies are too generic and rely on tests that become abnormal far too late in the trajectory towards dysglycemia to offer opportunities for effective preventative measures. Risk factors show wide interindividual variation, and insulin sensitivity and β cell function are often abnormal during pre-diabetes stage, well before frank diabetes.New, consistent, targeted screening strategies are required that incorporate early, prevention focused testing and personalised risk stratification.

Development and validation of a prediction model for depression in adolescents with polycystic ovary syndrome: A study protocol

Introduction

The high prevalence and severity of depression in adolescents with polycystic ovary syndrome (PCOS) is a critical health threat that must be taken seriously. The identification of high-risk groups for depression in adolescents with PCOS is essential to preventing its development and improving its prognosis. At present, the routine screening of depression in adolescents with PCOS is mainly performed using scales, and there is no early identification method for high-risk groups of PCOS depression in adolescents. It is necessary to use a warning model to identify high-risk groups for depression with PCOS in adolescents.

Methods and analysis

Model development and validation will be conducted using a retrospective study. The study will involve normal adolescent girls as the control group and adolescent PCOS patients as the experimental group. We will collect not only general factors such as individual susceptibility factors, biological factors, and psychosocial environmental factors of depression in adolescence, but will also examine the pathological factors, illness perception factors, diagnosis and treatment factors, and symptom-related factors of PCOS, as well as the outcome of depression. LASSO will be used to fit a multivariate warning model of depression risk. Data collected between January 2022 and August 2022 will be used to develop and validate the model internally, and data collected between September 2022 and December 2022 will be used for external validation. We will use the C-statistic to measure the model's discrimination, the calibration plot to measure the model's risk prediction ability for depression, and the nomogram to visualize the model.

Discussion

The ability to calculate the absolute risk of depression outcomes in adolescents with PCOS would enable early and accurate predictions of depression risk among adolescents with PCOS, and provide the basis for the formulation of depression prevention and control strategies, which have important theoretical and practical implications.

Trial registration number

[ChiCTR2100050123]; Pre-results.

Criteria for Diagnosis of Polycystic Ovary Syndrome during Adolescence: Literature Review

Polycystic ovary syndrome (PCOS) is one of the most common endocrine conditions in women. PCOS may be more challenging to diagnose during adolescence due to an overlap with the physiological events of puberty, which are part of the diagnostic criteria in adult women. This review focuses on the evidence available in relation to PCOS diagnostic criteria for adolescents. Adolescent PCOS should be diagnosed using two main criteria irregular -menstrual cycles (relative to number of years post-menarche) and hyperandrogenism (clinical and/or biochemical); after excluding other conditions that mimic PCOS. Accurate definitions of the two main criteria will decrease challenges/controversies with the diagnosis and provide timely diagnosis during adolescence to establish early management. Despite the attempts to create accurate diagnostic criteria and definitions, this review highlights the limited research in this area, especially in the follow up of adolescents presenting with one diagnostic feature that are called “at risk of PCOS”. Studies in adolescents continue to use the Rotterdam diagnostic criteria that uses pelvic ultrasound. This is inappropriate, because previous and emerging data that show many healthy adolescents have polycystic ovarian morphology in the early years post-menarche. In the future, anti-Müllerian hormone levels might help support PCOS diagnosis if adolescents meet two main criteria.

Care for Adolescents With Polycystic Ovary Syndrome: Development and Prescribing Patterns of a Multidisciplinary Clinic

STUDY OBJECTIVE

Based on updated guidelines and expressed patient needs, we created a multidisciplinary clinic including endocrinology, gynecology/adolescent medicine, dermatology, psychology, and nutrition to provide comprehensive care to adolescent girls with polycystic ovary syndrome (PCOS). We describe the patient population presenting to this clinic, and prescribing patterns when a multidisciplinary approach is used.

DESIGN

Retrospective chart review.

SETTING

Tertiary care hospital.

PARTICIPANTS

Female patients, aged 11-24 years, presenting for initial assessment in a multidisciplinary PCOS clinic.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Medical history, physical examination findings, laboratory measurements and prescribed therapies.

RESULTS

A total of 92 patients seen from 2014 to 2018 are described (age 15.9 years, range 11-24 years, body mass index 35.6 kg/m2, range 19.9-53.5). Metabolic syndrome features were common: 26% had a prediabetes hemoglobin A1c (>5.6%), 83% had a high-density lipoprotein (HDL) <50 mg/dL, 40% had a systolic blood pressure >120 mm Hg, and 43% had an alanine aminotransferase level of >30 U/L. Dermatologic findings included acne 93%, hirsutism 38%, acanthosis nigricans 85%, hidradenitis suppurativa 16%, and androgenic alopecia 2%. Of the patients, 33% had a diagnosis of depression or anxiety, 16% of patients had a diagnosis of obstructive sleep apnea, and an additional 59% had symptoms warranting a sleep study The most commonly prescribed medications were topical acne preparations (62%), followed by estrogen-containing hormonal therapy (56%) and metformin (40%).

CONCLUSION

In adolescents with PCOS and obesity, metabolic, dermatologic, and psychologic co-morbidities are common. The use of a multidisciplinary clinic model including dermatology in addition to endocrinology, gynecology, psychology, and lifestyle experts provides care for most aspects of PCOS.

Application of a Standard Cross-Specialty Workup for Diagnosis and Metabolic Screening of Obese Adolescents With Polycystic Ovary Syndrome

PURPOSE

Polycystic ovary syndrome (PCOS) is a common disorder. The used diagnostic criteria and screening for related metabolic disease in adolescent girls with PCOS vary with medical specialty, causing discrepancies in care. We sought to improve and standardize care to guidelines for adolescents with PCOS and obesity.

METHODS

This is a quality improvement project in a multispecialty, tertiary care children's hospital. Providers in Adolescent Medicine, Gynecology, Pediatric Endocrinology, and Endocrine-Metabolic clinics participated. Diagnostic testing and metabolic screening data were collected for new patient encounters with PCOS and obesity, with two improvement cycles from December 2012 to March 2017. Providers received education on diagnostics tests and metabolic screening recommendations, and electronic medical record tools were created. The number of diagnostic and metabolic screening tests ordered per cycle and per clinic were analyzed and compared with baseline.

RESULTS

The preintervention cycle included 74 encounters-44 in Cycle 1 and 58 in Cycle 2. Diagnostic test completeness improved by Cycle 2 (46%-68%) for all clinics. Screening for metabolic disease only improved in Gynecology (27%-71%). Adolescent Medicine, Endocrinology, and Endocrine-Metabolic used note templates, and Adolescent Medicine and Gynecology used order sets. Note templates were associated with more diagnostic tests ordered in Endocrinology (30%-88%; p = .002).

CONCLUSIONS

Implementation of quality improvement measures improved the number of diagnostic and metabolic screening tests performed in new patient encounters for PCOS, although the most effective strategy varied by clinic type and electronic medical record habits. Similar efforts should be implemented to standardize care at other institutions.

Adolescent polycystic ovary syndrome according to the international evidence-based guideline

BACKGROUND

Diagnosing polycystic ovary syndrome (PCOS) during adolescence is challenging because features of normal pubertal development overlap with adult diagnostic criteria. The international evidence-based PCOS Guideline aimed to promote accurate and timely diagnosis, to optimise consistent care, and to improve health outcomes for adolescents and women with PCOS.

METHODS

International healthcare professionals, evidence synthesis teams and consumers informed the priorities, reviewed published data and synthesised the recommendations for the Guideline. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework was applied to appraise the evidence quality and the feasibility, acceptability, cost, implementation and strength of the recommendations.

RESULTS

This paper focuses on the specific adolescent PCOS Guideline recommendations. Specific criteria to improve diagnostic accuracy and avoid over diagnosis include: (1) irregular menstrual cycles defined according to years post-menarche; > 90 days for any one cycle (> 1 year post-menarche), cycles< 21 or > 45 days (> 1 to < 3 years post-menarche); cycles < 21 or > 35 days (> 3 years post-menarche) and primary amenorrhea by age 15 or > 3 years post-thelarche. Irregular menstrual cycles (< 1 year post-menarche) represent normal pubertal transition. (2) Hyperandrogenism defined as hirsutism, severe acne and/or biochemical hyperandrogenaemia confirmed using validated high-quality assays. (3) Pelvic ultrasound not recommended for diagnosis of PCOS within 8 years post menarche. (4) Anti-Müllerian hormone levels not recommended for PCOS diagnosis; and (5) exclusion of other disorders that mimic PCOS. For adolescents who have features of PCOS but do not meet diagnostic criteria an 'at risk' label can be considered with appropriate symptomatic treatment and regular re-evaluations. Menstrual cycle re-evaluation can occur over 3 years post menarche and where only menstrual irregularity or hyperandrogenism are present initially, evaluation with ultrasound can occur after 8 years post menarche. Screening for anxiety and depression is required and assessment of eating disorders warrants consideration. Available data endorse the benefits of healthy lifestyle interventions to prevent excess weight gain and should be recommended. For symptom management, the combined oral contraceptive pill and/or metformin may be beneficial.

CONCLUSIONS

Extensive international engagement accompanied by rigorous processes honed both diagnostic criteria and treatment recommendations for PCOS during adolescence.

PCOS diagnosis in adolescents: the timeline of a controversy in a systematic review

Study objective Polycystic ovary syndrome (PCOS) in adolescence, a disorder of exclusion, has proved to be a timeless diagnostic challenge for the clinician. Since 1990, several attempts to provide clear diagnostic criteria have been published, most of the time leading to inconsistencies. We attempted to elucidate the controversies and convergences of this subject by conducting a systematic review of the literature concerning official guidelines or proposed criteria for the diagnosis of PCOS in adolescent girls. Design Based on a term search sequence via electronic databases such as Pubmed, Cochrane, Embase, Scopus and a hands-on review of references and learned societies, all available data were classified and analyzed. Single case reports, original studies with adult population or articles with incomplete diagnostic guidelines were excluded. Results Twelve reports dated from 2006 to 2018 fulfilled the inclusion criteria. Seven of them were endorsed or published by learned societies. All suggested a stricter diagnosis than in adulthood. Polycystic ovarian morphology was used as a necessary criterion only in three guidelines, and there was a tendency for a more objective diagnosis of hyperandrogenism, defined either by clinical features or by biochemical hyperandrogenemia, although in one case both were required. Conclusion Irregular menstrual cycles, allowing for an interval of at least 2 years postmenarche, and hyperandrogenism, usually reinforced by biochemical confirmation, are the main accepted features for PCOS diagnosis in adolescence. Discrepancies among endocrine and reproductive medicine societies still remain, although recent intensified attempts at reaching a consensus should allow for more universally accepted diagnostic criteria.