| Literature DB >> 36199736 |
Firas Al Rshoud1, Bayan Al Omari2, Azmi Qudsi2, Ala'a Abu Salhiyeh2.
Abstract
Introduction: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder and is one of the most common causes of infertility. The study aimed to investigate the association between endometrial polyp and infertility in PCOS in a high-incidence region such as the Middle East. Also, to identify the most common risk factors for endometrial polyp(s) in PCOS patients with infertility. Material and methods: We conducted a retrospective cohort study on a total of 250 patients with a confirmed diagnosis of a PCOS. Eighty patients out of the 250 were finally included in the study after a high suspicion of endometrial polyp by 2-D transvaginal ultrasound at the early follicular phase, and they underwent an office hysteroscopy at the late follicular phase after proper counselling.Entities:
Keywords: PCOS; endometrial polyps; infertility
Year: 2022 PMID: 36199736 PMCID: PMC9528816 DOI: 10.5114/pm.2022.116478
Source DB: PubMed Journal: Prz Menopauzalny ISSN: 1643-8876
Descriptive analysis of the age, body mass index, and infertility duration of the included the women
| Age | Infertility duration | BMI | |
|---|---|---|---|
| Mean | 28.39 | 3.214 | 29.675 |
| Median | 28.00 | 3.000 | 30.550 |
| Minimum | 19 | 1.0 | 19.6 |
| Maximum | 38 | 6.0 | 37.0 |
BMI – body mass index
Descriptive analysis of the menstrual pattern
| Frequency | Percentage | Valid percent | Cumulative percentage | |
|---|---|---|---|---|
| Normal | 25 | 31.2 | 31.2 | 31.2 |
| Oligo-menorrhoea | 38 | 47.5 | 47.5 | 78.8 |
| Amenorrhoea | 17 | 21.2 | 21.2 | 100.0 |
| Total | 80 | 100.0 | 100.0 | – |
Pearson correlation between body mass index and menstrual pattern
| BMI | Menstrual pattern | ||
|---|---|---|---|
| BMI | Pearson correlation | 1 | 0.771** |
| Sig. (2-tailed) | – | 0.000 | |
| N | 80 | 80 | |
| Menstrual pattern | Pearson correlation | 0.771** | 1 |
| Sig. (2-tailed) | 0.000 | – | |
| N | 80 | 80 |
correlation is significant at the level of 0.01 (2-tailed)
BMI – body mass index
Fig. 1Pearson correlation between body mass index and menstrual pattern
BMI – body mass index
Pearson correlation between body mass index and the number of polyps
| BMI | Polyps | ||
|---|---|---|---|
| BMI | Pearson correlation | 1 | 0.553** |
| Sig. (2-tailed) | – | 0.000 | |
| N | 80 | 80 | |
| Polyps | Pearson correlation | 0.553** | 1 |
| Sig. (2-tailed) | 0.000 | – | |
| N | 80 | 80 |
correlation is significant at the level of 0.01 (2-tailed)
BMI – body mass index
Fig. 2Pearson correlation between body mass index and the number of polyps
BMI – body mass index