Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disease with well-established metabolic abnormalities in women of reproductive age. There are various diagnostic criteria to define and establish PCOS. However, data conflict regarding the optimal diagnostic criteria for PCOS and its metabolic consequences. We have evaluated the clinical, endocrine, and metabolic features between main PCOS phenotypes according to different diagnostic criteria.

Methods: In this prospective, case-control study, 175 consecutive women with PCOS, 41 ovulatory women with idiopathic hirsutism, and 109 healthy, nonhirsute, ovulatory controls were enrolled. The following diagnostic criteria were assessed: Hirsutism; ovulatory function; ovarian sonography; gonadotropin, testosterone, dehydroepiandrosterone (DHEA), 17-hydroxyprogesterone, fasting insulin, and lipid levels; oral glucose tolerance test; homeostasis model assessment for insulin resistance (HOMA-IR); body mass index (BMI); waist circumference; and the presence of metabolic syndrome.

Results: Of the 175 women meeting the Rotterdam criteria for PCOS, 121 (69%) had both androgen excess and ovulatory dysfunction, thus also meeting the National Institutes of Health (NIH) criteria. The other 54 (31%) had either androgen excess or ovulatory dysfunction. Women meeting the NIH criteria had the largest mean BMI, waist circumference, and HOMA-IR score; the highest mean testosterone, DHEA, triglyceride, and fasting insulin levels; the lowest mean progesterone level; and the greatest prevalence of insulin resistance (HOMA-IR score >3) among the groups.

Conclusions: The NIH criteria identify women at high risk for insulin resistance and metabolic syndrome. The Rotterdam criteria include women who have less severe metabolic implications.

Download full-text PDF

Source
http://dx.doi.org/10.1089/met.2011.0019DOI Listing

Publication Analysis

Top Keywords

diagnostic criteria
16
insulin resistance
12
nih criteria
12
criteria
9
national institutes
8
institutes health
8
women
8
criteria pcos
8
fasting insulin
8
resistance homa-ir
8

Similar Publications

Validating the Accuracy of Parkinson's Disease Clinical Diagnosis: A UK Brain Bank Case-Control Study.

Ann Neurol

January 2025

Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.

Objective: Despite diagnostic criteria refinements, Parkinson's disease (PD) clinical diagnosis still suffers from a not satisfying accuracy, with the post-mortem examination as the gold standard for diagnosis. Seminal clinicopathological series highlighted that a relevant number of patients alive-diagnosed with idiopathic PD have an alternative post-mortem diagnosis. We evaluated the diagnostic accuracy of PD comparing the in-vivo clinical diagnosis with the post-mortem diagnosis performed through the pathological examination in 2 groups.

View Article and Find Full Text PDF

Chronic obstructive pulmonary disease (COPD) is a frequent disease from which approximately 8% of individuals aged 40 years and above suffer. The prevalence increases up to fivefold as age advances. Following an introduction including the etiology, measurement, characteristic features and classification of COPD, this article presents the consensus recommendations of the German Working Group on Pneumology in Older Patients.

View Article and Find Full Text PDF

Magnetic resonance imaging (MRI) is frequently used to monitor disease progression in multiple sclerosis (MS). This study aims to systematically evaluate the correlation between MRI measures and histopathological changes, including demyelination, axonal loss, and gliosis, in the central nervous system of MS patients. We systematically reviewed post-mortem histological studies evaluating myelin density, axonal loss, and gliosis using quantitative imaging in MS.

View Article and Find Full Text PDF

Rising computed tomography (CT) workloads require more efficient image interpretation methods. Digitally reconstructed radiographs (DRRs), generated from CT data, may enhance workflow efficiency by enabling faster radiological assessments. Various techniques exist for generating DRRs.

View Article and Find Full Text PDF

Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!