Premature ovarian failure incidence, risk factors and its relation to BMI and infertility

Abstract

Background: Premature ovarian failure (POF) is cessation in the normal functioning of the ovaries in women younger than age 40 years. It is estimated to affect1% of women younger than 40 years and 0.1% of those under 30 years. Premature ovarian failure is a common cause of infertility in women.Methods: Patient attending outpatient Department of Obstetrics and Gynecology with age less than 40 years and complaint of menstrual disturbances, symptoms of menopause were enrolled for the study for duration of 1year. This study is planned to calculate the incidence, risk factors, relation to BMI and infertility in patients attending outpatient department at Geetanjali medical college and hospital, Udaipur for all enrolled patient coming with complaints of menstrual disturbances. FSH levels were send for all the patients and those with FSH level more than 20 at day 2/3 for menstruating women and random FSH level for amenorrhea patient more than 20 were classified in to study group and all those women with FSH less than 20 are taken as control group.Results: Present study strongly suggests that simple laboratory test FSH and symptoms of missed and irregularity of menstrual cycle help in early and prompt diagnosis of premature ovarian failure. And early diagnosis helps in avoiding unnecessary medications and helps in improving long term morbidity.Conclusions: Disturbances in menstrual cycle like amenorrhea and infrequent cycles are the symptoms which are associated with premature ovarian failure after ruling out pregnancy and other hormonal and structural causes.

Premature menopause among women in India: Evidence from National Family Health Survey‐IV

“…Further, women in the age group of 35-39 years showed a significant increase in the prevalence of premature menopause. This result is consistent with the findings of a study on premature ovarian failure by Baheti et al 25 The current study has also established a negative but significant association between premature menopause and educational level of women, as the relative risk of both natural and surgical premature menopause decreases with the increase in educational level. Results in line with our analysis have been demonstrated by earlier studies.…”

Study of incidence of premature ovarian failure in patient attending outpatient department for infertility in a tertiary care centre

“…Baheti S et al, found 65% of patients with symptoms of premature ovarian failure. 19 Same study found 38% of patient of POF had infertility. Since our study was primarily conducted in infertility OPD 100% of patient in study had infertility as presenting symptom.…”

“…Another study conducted by Baheti S et al age group between 35-40 years has significant increase in risk of premature ovarian failure. 19 Baheti S et al, who studied general gynac patient found major percentage belonging to 35 to 40 years this difference can be understood by assuming POF presenting late after 35 years generally would have already conceived by this age. 19 Another study conducted by Coulam CB et al, they calculated the annual incidence rates of natural menopause per 100,000 person-years and found ten for ages 15 to 29 and 76 for ages 30 to 39.…”

“…19 Baheti S et al, who studied general gynac patient found major percentage belonging to 35 to 40 years this difference can be understood by assuming POF presenting late after 35 years generally would have already conceived by this age. 19 Another study conducted by Coulam CB et al, they calculated the annual incidence rates of natural menopause per 100,000 person-years and found ten for ages 15 to 29 and 76 for ages 30 to 39. 3 In the age group 40 to 44, the incidence of natural menopause increased greatly to 881 per 100,000 person-years at risk.…”

“…Incidence of premature ovarian failure came out to be 2.8%, (Table 8) there is no direct study conducted to find incidence of POF in patient presenting with infertility however Baheti S et al, calculated incidence of infertility as 38.46% amongst patient with premature ovarian failure. 19…”