Myoinositol as a Safe and Alternative Approach in the Treatment of Infertile PCOS Women: A German Observational Study.
Pedro-Antonio RegidorAdolf Eduard SchindlerPublished in: International journal of endocrinology (2016)
The use of 2 × 2000 mg myoinositol + 2 × 200 μg folic acid per day is a safe and promising tool in the effective improvement of symptoms and infertility for patients with a polycystic ovary syndrome (PCOS). Using a questionnaire an observational study was performed under German gynecologists to collect data on ovulation and pregnancy rates in PCOS patients with infertility. In this observational study, 3602 infertile women used myoinositol and folic acid between 2 and 3 months in a dosage of 2 × 2000 mg myoinositol + 2 × 200 μg folic acid per day. In a subgroup of 32 patients, hormonal values for testosterone, free testosterone, and progesterone were analyzed before and after 12 weeks of treatment. The mean time of use was 10.2 weeks. During this time 70% of these women had a restored ovulation, and 545 pregnancies were obtained. This means a pregnancy rate of 15.1% of all the myoinositol and folic acid users. In 19 cases a concomitant medication with clomiphene or dexamethasone was used. One twin pregnancy was documented. Testosterone levels changed from 96.6 ng/ml to 43.3 ng/ml and progesterone from 2.1 ng/ml to 12.3 ng/ml (p < 0.05) after 12 weeks of treatment. No relevant side effects were present among the patients. This study could show that a new treatment option for patients with a PCOS and infertility is available. The achieved pregnancy rates are at least in an equivalent or even superior range than those reported by the use of metformin.
Keyphrases
- polycystic ovary syndrome
- insulin resistance
- end stage renal disease
- preterm birth
- pregnancy outcomes
- newly diagnosed
- chronic kidney disease
- replacement therapy
- adipose tissue
- ejection fraction
- type diabetes
- metabolic syndrome
- gestational age
- prognostic factors
- low dose
- machine learning
- physical activity
- electronic health record
- high dose
- big data
- estrogen receptor
- drug induced