The prevalence of metabolic syndrome in patients with polycystic ovary syndrome: A systematic review and meta-analysis

Hyperandrogenism and Cardiometabolic Risk in Pre- and Postmenopausal Women-What Is the Evidence?

Hyperandrogenism in women, such as polycystic ovary syndrome, ovarian hyperthecosis, congenital adrenal hyperplasia, and androgen-secreting tumors, are all associated with increased prevalence of cardiovascular risk factors that include type 2 diabetes, hypertension, dyslipidemia, and metabolic syndrome. However, it is not clear whether this also implies enhanced risk of cardiovascular disease and mortality. Furthermore, the involvement of obesity and menopausal status for cardiometabolic risk in these women has not been elucidated. Based on the most recent systematic reviews and meta-analyses, this review summarizes the latest scientific evidence. To conclude, hyperandrogenism in premenopausal women is associated with enhanced prevalence of cardiovascular risk factors, as well as increased risk of cardiovascular disease and mortality, independently of body mass index. In contrast, elevated cardiovascular risk factors and increased risk of myocardial infarction and stroke in hyperandrogenic postmenopausal women are dependent on obesity. Furthermore, the overall risk of cardiovascular disease and coronary artery disease in hyperandrogenic postmenopausal women is similar to controls. The reason for a reduced cardiometabolic risk after menopause in hyperandrogenic women compared to nonhyperandrogenic women is not clear. It can be speculated that the difference in endocrine balance and metabolic status between women with and without hyperandrogenism might decrease after menopause because hyperandrogenism usually improves with age, whereas menopausal transition itself is associated with androgen dominance and abdominal obesity. Although we have gained increased knowledge about cardiometabolic risks in women with hyperandrogenism, it must be acknowledged that the quality of data is overall low. More research is needed, especially longer and larger follow-up studies in women with hyperandrogenism of different etiologies and phenotypes.

Genetic variations in OLR1 gene associated with PCOS and atherosclerotic risk factors

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of reproductive age. The aim of this study was to investigate the association of oxidized low-density lipoprotein receptor 1 (OLR1) gene variations with the susceptibility of PCOS and to examine the relationship between the frequencies of OLR1 gene variations and atherosclerotic risk factors. Genomic DNA was extracted from blood samples collected from 49 patients with PCOS and 43 healthy controls. The variants in the OLR1 gene were identified using next-generation sequencing (NGS). Heterozygous rs11053646 (K167N), rs11611438, rs11611453, and rs35688880 genotype frequencies were significantly higher in the PCOS group than that of control group. Single nucleotide polymorphism (SNP) rs34163097 minor A allele increased the PCOS risk by ∼10-fold (p = 0.03). SNPs rs11053646, rs11611438, rs11611453, rs34163097, and rs35688880 were positively correlated with body mass index (BMI). The logistic regression model (area under the curve: 0.770, p = 0.000) further revealed a combination of 2-h plasma glucose (PG-2 h), dehydroepiandrosterone sulfate (DHEAS), and rs11053646 as predictors of PCOS phenotype. This is the first study reporting the NGS data of OLR1 gene variants which might be associated with the pathogenesis of PCOS and several atherosclerotic risk factors, particularly higher BMI and DHEAS. To fully understand the genetic basis of PCOS and the contribution of OLR1 gene variants to PCOS pathogenesis, additional large-scale studies are warranted.

The incidence of gestational diabetes mellitus among women with polycystic ovary syndrome: a meta-analysis of longitudinal studies

BACKGROUND

Previous studies have shown that polycystic ovary syndrome is a predictor of gestational diabetes mellitus, but we do not know exactly how many polycystic ovary syndrome patients may develop gestational diabetes mellitus. Currently, the incidence of gestational diabetes mellitus among women with polycystic ovary syndrome varies greatly across studies, ranged from 4.12% to 59.50%. Besides, many factors have been found to be related to the incidence of gestational diabetes mellitus among women with polycystic ovary syndrome, but the results among different studies are not consistent. The possible causes of inconsistencies between the current estimates were unclear. This review aimed at exploring the pooled incidence of gestational diabetes mellitus among women with polycystic ovary syndrome, summarizing possible causes of the inconsistencies in the current estimates, try to provide a reference for prevention of gestational diabetes mellitus and polycystic ovary syndrome in the future.

METHODS

Systematic searches of different databases (including EMBASE, Web of Science, MEDLINE, The Cochrane Library, CNKI and PubMed) were conducted for studies published until 31 May 2021. Statistical analyses were performed using R software, the pooled incidence of gestational diabetes mellitus among polycystic ovary syndrome patients was combined using random effects model. Cochrane's "Tool to Assess Risk of Bias in Cohort Studies" was used for quality assessment.

RESULTS

Twenty-two longitudinal studies were included. A total of 24,574 women with polycystic ovary syndrome were identified in the 22 articles, of which 4478 were reported with gestational diabetes mellitus. The pooled incidence of gestational diabetes mellitus among women with polycystic ovary syndrome was 20.64%, with a 95% CI of 14.64% to 28.30%. In the meta-regression model, several variables including age, area, quality score and sample size were suggested as significant sources of heterogeneity, accounted for 77.57% of the heterogeneity across studies.

CONCLUSIONS

Evidence in this review suggests that gestational diabetes mellitus were common among women with polycystic ovary syndrome. More research is needed to found effective interventions for preventing gestational diabetes mellitus among women with polycystic ovary syndrome.

The Association Between Polycystic Ovary Syndrome and Metabolic Syndrome in Adolescents: a Systematic Review and Meta-analysis

The association between polycystic ovary syndrome (PCOS) and metabolic syndrome (MetS) is not widely recognized or properly assessed in adolescents. The aim of this study was to conduct a systematic review and meta-analysis to provide reliable results concerning MetS development in adolescents with PCOS. We searched studies published in PubMed, Medline, and Web of Science from January 2010 to December 2020. The quality of studies was assessed by the Newcastle-Ottawa Scale (NOS), and the data analysis was performed with Stata 14.0. Twelve articles were finally included in the systematic review and meta-analysis. The results suggested that adolescents with PCOS have more than three times the odds of having MetS than controls (OR 3.32, 95% CI [2.14, 5.14]). Obese adolescents with PCOS also had a higher risk of MetS than those with obesity but without PCOS (OR 3.97, 95% CI [1.49, 10.53]). Compared to those without PCOS, systolic blood pressure was higher in adolescents with PCOS (weighted mean difference (WMD) 3.85, 95% CI [1.73, 5.97]), while diastolic blood pressure was higher only in girls with PCOS who had a normal weight (WMD 3.52, 95% CI [1.57, 5.48]). The levels of triglycerides were higher in obese adolescents with PCOS than in those with obesity but without PCOS (WMD 27.84, 95% CI [10.16, 45.51]). PCOS could increase the frequency of MetS by influencing blood pressure and lipid metabolism independent of obesity as early as the adolescent period. Thus, clinicians should perform early interventions in adolescents with PCOS and follow up the relevant indicators of MetS to decrease the risk of poor long-term prognosis.

Metabolic Syndrome in Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a common endocrinopathy in women of reproductive age. Although its essential clinical manifestation includes a plethora of symptoms and signs, which largely reflects the underlying hyperandrogenism, oligo/anovulation, and polycystic ovarian morphology, PCOS may also be associated with many metabolic derangements. These metabolic derangements happen to overlap with many of the core constituents of the metabolic syndrome (MBS)—increased insulin resistance, central obesity, and dyslipidemia. The two disorders also display similarly increased risks for certain metabolic and vascular diseases, such as type 2 diabetes mellitus, hypertension, and cardiovascular diseases. Due to the many similarities between metabolic syndrome and PCOS, this review aims to examine the evidence concerning the overlapping features, the risks for comorbidities, possible shared mechanisms, and treatment strategies in patients with coexisting PCOS and MBS.

Cardiometabolic Risk in Polycystic Ovary Syndrome: Current Guidelines

Polycystic ovary syndrome is a common endocrine disorder in reproductive-aged women and is associated with an increased risk of metabolic abnormalities, including obesity, impaired glucose tolerance, diabetes, dyslipidemia, metabolic syndrome, venous thromboembolism, and subclinical atherosclerosis. Clinicians and patients alike need to be aware of these increased risks as well as new international guidelines that recommend frequent screening and active management of metabolic abnormalities. Given that the data on risk of cardiovascular events, such as myocardial infarction and stroke, in women with PCOS is mixed, future large-scale, longitudinal studies are needed to clarify these potential risks.

Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome

OBJECTIVES

According to the International Diabetes Federation (IDF) criteria, previous studies in Chinese women with polycystic ovary syndrome (PCOS) reported a low prevalence of metabolic syndrome (MS); however, the same population predisposed to developing pre-MS. Early identification and treatment of individuals with MS and pre-MS are imperative to prevent their adverse consequences. Moreover, fasting plasma glucose (FPG) was not accurate in detecting pathoglycemia in women with PCOS as they have shown characteristically postprandial abnormalities in the carbohydrate metabolism. Therefore, we aimed to compare the discriminative performance of various indices for identifying MS and pre-MS/MS (pre-MS and MS) using the updated Chinese Diabetes Society (uCDS) criteria in Chinese women with PCOS.

METHODS

1083 Chinese women with PCOS were included in this study. We measured and evaluated 8 indices in all individuals. Based on the uCDS criteria for MS, patients who had no less than two components of MS but did not meet the criteria for the diagnosis of MS were considered as having pre-MS. Receiver operating characteristic (ROC) curves and the area under ROC curves (AUCs) levels were used to assess the accuracy of each index in detecting MS and pre-MS/MS.

RESULTS

Among the 8 indices assessed, the lipid accumulation product (LAP) provided the highest AUCs for detecting MS and pre-MS/MS, followed by CVAI, WTI, VAI, TyG, TG/HDL, WC, and BMI. The optimal cutoff points determined for LAP were 45.13 (sensitivity 88.0%, specificity 88.4%, and Youden index 0.764) for MS and 28.01 (sensitivity 87.5%, specificity 80.7%, and Youden index 0.681) for pre-MS/MS, respectively.

CONCLUSIONS

uCDS criteria are reasonably more suitable for detecting MS and pre-MS in Chinese women with PCOS. Based on this criterion, LAP is the best index for the diagnosis of MS and pre-MS/MS in Chinese women with PCOS, out of the 8 obesity and lipid-related indices assessed.

High BMI and Insulin Resistance Are Risk Factors for Spontaneous Abortion in Patients With Polycystic Ovary Syndrome Undergoing Assisted Reproductive Treatment: A Systematic Review and Meta-Analysis

Background

The risk of spontaneous abortion in patients with polycystic ovary syndrome (PCOS) undergoing assisted reproductive treatment (ART) is higher than that in patients without PCOS, however, no definitive risk factors have been confirmed to associate with the high spontaneous abortion rate in PCOS patients undergoing ART. This study was performed to assess the impact of relevant risk factors on spontaneous abortion in patients with PCOS. Clinical questions were formulated and organized according to the PICOS principle.

Methods

A systematic review and meta-analysis were conducted on all published studies on PCOS and spontaneous abortion in Embase, PubMed, Web of Science and Cochrane Library. Related risk factors included body mass index (BMI), age, insulin resistance (IR), hyperandrogenism, and chromosome aberrations. All patients were diagnosed as PCOS using the Rotterdam criteria. The primary endpoint was miscarriage and live birth rate. Fixed-effect models were used to analyze homogeneous data, and subgroup and sensitivity analyses were performed on heterogeneous data. The source of heterogeneity was evaluated, and the random effect model was used to summarize the heterogeneity.

Results

Among 1836 retrieved articles, 22 were eligible and included in the analysis with 11182 patients. High BMI (OR = 1.48, 95% CI [1.32, 1.67], MD = 1.35, 95% CI [0.58,2.12]) and insulin resistance (MD = 0.32, 95% CI [0.15, 0.49]) were associated with an increased risk of spontaneous abortion in PCOS patients undergoing ART. Older age (OR = 0.29, 95% CI [0.29, 0.44], MD = 2.01, 95% CI [0.04, 4.18]), embryonic chromosomal aberrations (OR = 0.75, 95%CI [0.31,1.77]), and hyperandrogenism (MD = 0.10, 95% CI [- 0.02, 0.22]) were not associated with the high spontaneous abortion rate in patients with PCOS. A subgroup analysis of BMI showed that there was no statistically significant difference in the effect between overweight and obesity on spontaneous abortion in PCOS patients undergoing ART (OR = 1.34, 95% [0.97, 1.85]).

Conclusion

High BMI and insulin resistance are two risk factors for an increased risk of spontaneous abortion in PCOS patients undergoing ART, and losing weight and mitigating insulin resistance may decrease the spontaneous abortion rate in these patients undergoing ART.

Current Resources for Evidence-Based Practice, May 2020

An extensive review of new resources to support the provision of evidence-based care for women and infants. The current column includes a discussion of a new National Academy of Medicine report on planned place of birth and implications during the SARS-CoV-2 pandemic and commentaries on reviews focused on anorectal sexually transmitted infections and feeding methods following cleft lip repair in infants.

Correlation Between Recovery of Menstrual Cycle and Improvement of Glucose and Lipid Metabolism in Patients with Sleeve Gastrectomy in a Small Chinese Cohort Sample

OBJECTIVE

To analyze the status of insulin resistance and hyperlipidemia in the regulation of menstrual cycle in patients undergoing sleeve gastrectomy (LSG).

MATERIALS AND METHODS

Retrospective analysis of a typical metabolic syndrome population: 65 cases of sexually mature women underwent weight reduction surgery from January 2015 to June 2018, and for 35 of these cases we collected all clinical data including age, menstrual status, body mass index (BMI), waist-to-hip ratio (WHR), blood lipid level, homeostasis model assessment in insulin resistance (HOMA-IR) and free androgen index (FAI). Sixteen of these patients had menstrual disorder that was characterized by oligomenorrhea and their menstrual cycle was >2 months or <24 days before operation, while their menstrual cycle recovered approximately 1 month to one year after sleeve gastrectomy.

RESULTS

The age of our 35 patients with metabolic syndrome was 15-40 years; 19 cases were in the menstrual regularity group and 16 cases in the menstrual disorder group. On analysis of metabolic factors in the two groups, only BMI and FAI distribution in the two groups were statistically different, while lipid levels and insulin resistance levels for abnormal menstrual cycle were not statistically significant. The analysis of blood lipid components showed that high triglyceride levels and high cholesterol levels increased the occurrence of menstrual disorders.

CONCLUSION

BMI can be used as one of the important metabolic indicators of menstrual disorders in patients with metabolic syndrome. Excess androgen can increase the occurrence of menstrual disorders, leading to polycystic ovarian syndrome (PCOS). Although insulin resistance is universal in patients with metabolic syndrome, it is not a specific factor that affects menstrual cycle. Hyperlipidemia, especially triglyceride composition, may be one of the driving factors of menstrual disorder.