Dataset Information

Association Between Menstrual Patterns and Adverse Pregnancy Outcomes in Patients With Polycystic Ovary Syndrome.

ABSTRACT:

Objective

To investigate the results of in vitro fertilization among polycystic ovary syndrome (PCOS) patients using the long-acting long protocol regarding the relationship between menstrual patterns and adverse pregnancy outcomes.

Design

Retrospective cohort study.

Setting

University-affiliated reproductive medical center.

Background

The menstrual patterns of patients with PCOS is considered related to metabolism; however, no study has analyzed the outcome of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) in patients with PCOS who have different menstrual patterns. This study aimed to observe the outcomes of IVF/ICSI in patients with PCOS with different menstrual patterns who used the long-acting long protocol.

Methods

This was a retrospective analysis in the first cycle of IVF/ICSI at the Reproductive Medicine Center of the First Affiliated Hospital of Zhengzhou University from January 2017 to December 2019. In total, 1834 patients with PCOS were classified into the regular menstruation group (n=214), the oligomenorrhea group (n=1402), and the amenorrhea group (n=218).

Results

PCOS patients who used the long-acting long protocol of IVF/ICSI had similar clinical pregnancy rates and live birth rates despite having different menstrual patterns. The overall incidence of adverse pregnancy outcomes, including abortion, spontaneous preterm birth (sPTB), gestational diabetes(GDM), hypertensive disorder inpregnancy (HDP), and premature rupture of membranes(PROM, was significantly higher in the amenorrhea group than in the regular menstrual and oligomenorrhea groups (25.88% vs. 30.41% vs. 43.69%; P = 0.013). Additionally, the rates of GDM (2.35% vs. 6.10% vs. 13.79%; P=0.015) and macrosomia (5.26% vs. 10.94% vs. 18.39%; P=0.026) in the amenorrhea group were significantly higher than those in the other two groups. Correction for confounding factors showed that menstrual patterns are related to the occurrence of adverse pregnancy outcomes. Amenorrhea is an independent risk factor for adverse pregnancy outcome (OR [odds ratio]: 2.039, 95% CI [confidence interval]: 1.087-3.822), GDM (OR: 5.023, 95% CI: 1.083-23.289), and macrosomia (OR: 4.918, 95% CI: 1.516-15.954).

Conclusions

IVF/ICSI can achieve similar pregnancy and live birth rates in PCOS patients with different menstrual patterns. However, the overall incidence of adverse pregnancy outcomes in PCOS patients with amenorrhea is higher than that in patients with regular menstruation or oligomenorrhea.

SUBMITTER: Yu T

PROVIDER: S-EPMC8637325 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Polycystic ovary syndrome (PCOS) is a common metabolic problem in women of reproductive age. Evidence suggests pregnant women with PCOS may have a higher risk of the development of adverse pregnancy outcomes; however, the relationship between pre-pregnancy overweight/obesity and pregnancy outcomes in women with PCOS remains uncertain. We try to clarify the relationship between pre-pregnancy overweight/obesity and subsequent pregnancy outcomes. Therefore, we conducted this systematic review and meta-analysis. We used the databases obtained from the PubMed, Embase, Web of Science, and Cochrane databases, plus hand-searching, to examine the association between pre-pregnancy overweightness/obesity and pregnancy outcomes in women with PCOS from inception to 4 February 2022. A total of 16 cohort studies, including 14 retrospective cohort studies (n = 10,496) and another two prospective cohort studies (n = 818), contributed to a total of 11,314 women for analysis. The meta-analysis showed significantly increased odds of miscarriage rate in PCOS women whose pre-pregnancy body mass index (BMI) is above overweight (OR 1.71 [95% CI 1.38-2.11]) or obese (OR 2.00 [95% CI 1.38-2.90]) under a random effect model. The tests for subgroup difference indicated the increased risk was consistent, regardless which body mass index cut-off for overweight (24 or 25 kg/m2) or obesity (28 and 30 kg/m2) was used. With the same strategies, we found that pregnant women in the control group significantly increased live birth rate compared with those pregnant women with PCOS as well as pre-pregnancy overweight/obesity (OR 0.79 [95% CI 0.71-0.89], OR 0.78 [95% CI 0.67-0.91]). By contrast, we did not find any association between PCOS women with pre-pregnancy overweight/obesity and preterm birth. Based on the aforementioned findings, the main critical factor contributing to a worse pregnancy outcome may be an early fetal loss in these PCOS women with pre-pregnancy overweight/obesity. Since PCOS women with pre-pregnancy overweightness/obesity were associated with worse pregnancy outcomes, we supposed that weight reduction before attempting pregnancy in the PCOS women with pre-pregnancy overweightness/obesity may improve the subsequent pregnancy outcomes.

Project description:Study questionIs the severity of menstrual cyclicity related to hyperinsulinemia and dysglycemia in women with hyperandrogenic polycystic ovary syndrome (PCOS)?Summary answerHyperandrogenic PCOS women with amenorrhea, compared to those with oligomenorrhea or eumenorrhea, had a greater risk of post-challenge hyperinsulinemia, which may explain their higher prevalence of dysglycemia.What is known alreadyPCOS is associated with metabolic dysregulation including insulin resistance (IR) and hyperinsulinemia, risk factors for type 2 diabetes mellitus (T2DM) and other vascular-metabolic morbidities. Although the severity of menstrual cyclicity is associated with IR in PCOS, it is unclear whether, and to what extent, it is related to hyperinsulinemia and glycemic abnormalities.Study design, size, durationWe prospectively compared the degree of menstrual cyclicity with the presence of dysglycemia (elevated 1-h plasma glucose ≥155 mg/dl; abnormal glucose tolerance [AGT], including prediabetes and T2DM; and AUC for glucose [G-AUC]) or dynamic state hyperinsulinemia (peak insulin levels either at 1 or 2 h of the oral glucose tolerance test (oGTT) and AUC for insulin [I-AUC]) in 333 hyperandrogenic PCOS women.Participants/materials, setting, methodsIn a tertiary care setting, hyperandrogenic PCOS participants with ovulatory eumenorrhea (Ov-Eumeno, n = 25), anovulatory eumenorrhea (Anov-Eumeno, n = 33), oligomenorrhea (Oligo, n = 150) and amenorrhea (Ameno, n = 125) underwent comprehensive phenotyping and a 2-h 75 g oGTT.Main results and the role of chanceMean BMI was greater among Ameno women than among Oligo, Anov-Eumeno or Ov-Eumeno women. Adjusting for BMI, the Ameno group demonstrated higher mean 1- and 2-h insulin and glucose, peak insulin and I-AUC and G-AUC, and either had a higher, or tended toward having a higher, prevalence of elevated 1-h glucose level and prevalence of AGT than the Oligo, Anov-Eumeno or Ov-Eumeno groups. In logistic regression, adjusting for BMI, Ameno women were more likely to have: AGT than Oligo women (odds ratio [OR]: 2.3; 95% CI: 1.3 to 4.2); elevated 1-h glucose (OR: 10.2; CI: 1.3-79.7) than those with Ov-Eumeno; and both AGT (OR: 1.7; CI: 1.1-2.6) and elevated 1-h glucose (OR: 1.8; CI: 1.1-2.8) than those with Anov-Eumeno or Ov-Eumeno when combined. Race/ethnicity, age, waist-to-hip ratio, fasting insulin and glucose, and biochemical or clinical measures of hyperandrogenism were similar across the four menstrual categories.Limitations, reasons for cautionOur study was limited by its cross-sectional nature and by studying women affected by PCOS as defined by the Androgen Excess & PCOS Society criteria (i.e. Rotterdam Phenotypes A, B and C) who were identified in the clinical setting. Consequently, extrapolation of the present data to other PCOS phenotypes (e.g. PCOS Phenotype D) should be made with caution.Wider implications of the findingsIn hyperandrogenic PCOS phenotypes, a history of amenorrhea, compared to oligomenorrhea or eumenorrhea, suggests a more severe cardiometabolic risk, including a higher degree of hyperinsulinemia and greater prevalence of glycemic abnormalities. These findings may assist in refining the treatment and screening guidelines for glycemic abnormalities in PCOS.Study funding/competing interest(s)This work was supported in part by grants R01-DK073632 and R01-HD29364 from the NIH and an endowment of the Helping Hand of Los Angeles, Inc. (to R.A.). M.D.P. has no competing interests to declare. U.E. is an investor in Concentric Analgesics, Inc. R.A. serves as a consultant for Spruce Biosciences and Fortress Biotech and an advisor for Aurora Forge.Trial registration numberN/A.