Diagnostics

Journal Browser

► Journal Browser

Advances and Challenges in the Diagnosis of Polycystic Ovarian Syndrome and Its Comorbidities

Share This Special Issue

Special Issue Editors

Prof. Dr. Larisa V Suturina

E-Mail Website
Guest Editor

Federal State Public Institution «Scientific Center for Family Health and Human Reproduction Problems», 16, Timiryazeva Str., 664003 Irkutsk, Russia
Interests: human reproduction; contraception; menopause; hyperandrogenism; PCOS; infertility; obesity; human microbiome

Dr. Moamar Al-Jefout

E-Mail Website
Guest Editor

Department of Obstetrics and Gynecology, College of Medicine and Health Sciences, Mutah Medical Faculty, Mutah University, Mutah 61710, Karak Governorate, Jordan
Interests: endometriosis; endoscopic surgery; infertility; adenomyosis; polycystic ovary syndrome

Special Issue Information

Dear Colleagues,

Currently, the diagnosis of PCOS is carried out on the basis of existing internationally accepted guidelines and recommendations. However, many challenges regarding personalized prediction and early diagnosis remain extant. The interindividual variability of the features and comorbidities of PCOS depends on genetic factors, such as age, race and ethnicity, as well as on environmental factors, and current approaches for prognosis and diagnosis do not encompass all aspects of interest.

The Special Issue will include (but is not limited to) the following topics: prognostic and predictive patient-specific markers of PCOS and its comorbidities; ethnicity and the diagnosis of PCOS; the identification of new biomarkers of different PCOS phenotypes; age-specific aspects of biochemical hyperandrogenism; and advances in ovary ultrasound in PCOS diagnosis.

Prof. Dr. Larisa V Suturina
Dr. Moamar Al-Jefout
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

polycystic ovary syndrome
hyperandrogenism
oligo/anovulation
PCOM

Published Papers (2 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

17 pages, 663 KiB

Open AccessArticle

Bacterial Vaginosis (BV) and Vaginal Microbiome Disorders in Women Suffering from Polycystic Ovary Syndrome (PCOS)

by Izabela Chudzicka-Strugała, Iwona Gołębiewska, Beata Banaszewska, Mateusz Trzciński, Grzegorz Brudecki, Wael Elamin and Barbara Zwoździak

Diagnostics 2024, 14(4), 404; https://doi.org/10.3390/diagnostics14040404 - 12 Feb 2024

Viewed by 2519

Abstract

Introduction: Polycystic ovary syndrome (PCOS) is a multifactorial, heterogeneous endocrine and metabolic disorder in women. Due to its association with the menstrual cycle and fertility disorders, the importance of this problem is emphasized especially in patients of reproductive age. Based on a number of analyses, the effect of PCOS on altering the diversity of the microbiome (e.g., intestinal or vaginal) is suggested. Vaginal dysbiosis can result in BV (bacterial vaginosis). The purpose of this study was to assess the prevalence of BV in patients with PCOS, as well as to determine the most reliable diagnostic factors. Material and Methods: Retrospective analysis of microbiological findings (2018–2022) of PCOS patients (n = 594) of reproductive age. The present analysis focused on the results of patients with PCOS (n = 380) and vaginal discharge with pH ≥ 4.4 and suspected BV. Biological material was a vaginal swab/vaginal secretion. The most commonly used routine methods for assessing BV were the Amsel analysis and the Nugent scoring system. Results: Patients with PCOS and vaginal fluid pH ≥ 4.4 and suspected BV (n = 380) accounted for 64% of all PCOS patients (n = 594). The relationship between pH and detection of “clue cells” showed significant dependency and increased with leukocytes. The pH measurement also showed dependency on high G. vaginalis counts. In addition, the elimination of lactic acid bacteria (LAB) in vaginal secretions was associated with an increase in the number of leukocytes with increasing pH values. A marked increase in G. vaginalis was found in more than half (56.8%) of PCOS women (n = 380) with suspected BV. No dependency was observed between the absence of LAB and the diagnosis of BV on a positive G. vaginalis culture. Of the n = 380 patients with PCOS, 191 (50%) had a Nugent score ≥ 7 positive for BV. No dependency was observed between the number of patients with Candida sp. in vaginal secretions and pH, BV (with clue cells), or elevated leukocyte levels. The LRM was adjusted and the statistical model represented by the following formula was obtained: log(p/(1 − p)) = −1.18 + 1.24 × Group4.6 + 1.08 × Group4.8 + 1.66 × Group5.4. Conclusions: Based on the present analysis, BV appears to be more common in patients with PCOS than in the non-PCOS population. Chronic inflammation in PCOS patients and abnormalities in the vaginal microbiome may predispose to the development of BV. In women with PCOS, BV may be one of the unrecognized causes of infertility or complications of pregnancy. Despite the potential link between PCOS and the development of BV, the extent to which this syndrome contributes to vaginal dysbiosis and reproductive complications requires further study. Full article

(This article belongs to the Special Issue Advances and Challenges in the Diagnosis of Polycystic Ovarian Syndrome and Its Comorbidities)

► Show Figures

Figure 1

15 pages, 1612 KiB

Open AccessArticle

The Hidden Link between Polycystic Ovary Syndrome and Kidney Stones: Finding from the Tehran Lipid and Glucose Study (TLGS)

by Marzieh Rostami Dovom, Maryam Rahmati, Saber Amanollahi Soudmand, Pardis Ziaeefar, Fereidoun Azizi and Fahimeh Ramezani Tehrani

Diagnostics 2023, 13(17), 2814; https://doi.org/10.3390/diagnostics13172814 - 30 Aug 2023

Cited by 3 | Viewed by 4224

Abstract

Background: We aimed to investigate the association between kidney stones and polycystic ovarian syndrome (PCOS). Materials and methods: In a cross-sectional study, data from the Tehran Lipid and Glucose Study (TLGS) were used to investigate the risk of kidney stones in women with Polycystic Ovary Syndrome (PCOS). Four distinct phenotypes of PCOS, as defined by the Rotterdam criteria, were examined in a sample of 520 women and compared to a control group of 1638 eumenorrheic non-hirsute healthy women. Univariate and multivariable logistic regression models were employed for analysis. The four PCOS phenotypes were classified as follows: Phenotype A, characterized by the presence of all three PCOS features (anovulation (OA), hyperandrogenism (HA), and polycystic ovarian morphology on ultrasound (PCOM)); Phenotype B, characterized by the presence of anovulation and hyperandrogenism; Phenotype C, characterized by the presence of hyperandrogenism and polycystic ovarian morphology on ultrasound; and Phenotype D, characterized by the presence of anovulation and polycystic ovarian morphology on ultrasound. Results: The prevalence of a history of kidney stones was found to be significantly higher in women with Polycystic Ovary Syndrome (PCOS) compared to healthy controls (12.5% vs. 7.7%, p = 0.001). This increased prevalence was observed across all PCOS phenotypes (p < 0.001). After adjusting for potential risk factors, including age, family history of kidney stones, waist-to-height ratio, total cholesterol, and low-density lipoprotein, the odds ratio for kidney stones in women with PCOS was found to be 1.59 [95% CI: 1.12–2.25, p = 0.01], indicating a 59% increase in risk compared to healthy women. Women with PCOS Phenotype A [OR: 1.97, 95% CI: 1.09–3.55, p = 0.02] and Phenotype D [OR: 3.03, 95% CI: 1.24–7.41, p = 0.01] were found to be at a higher risk for kidney stones. Conclusion: Women with Polycystic Ovary Syndrome (PCOS), particularly those exhibiting menstrual irregularities and polycystic ovarian morphology on ultrasound (PCOM), have been found to be two to three times more likely to develop kidney stones. This increased prevalence should be taken into consideration when providing preventive care and counseling to these individuals. Full article

(This article belongs to the Special Issue Advances and Challenges in the Diagnosis of Polycystic Ovarian Syndrome and Its Comorbidities)

► Show Figures

Journal Menu

Journal Browser

Advances and Challenges in the Diagnosis of Polycystic Ovarian Syndrome and Its Comorbidities

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (2 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI