Prediction of Premature Ovarian Insuffi ciency and prevalence of medical diseases

<p><strong>Background:</strong> Premature Ovarian Failure (POF) represents 1% among women below the age of 40 and can be diagnosed by two levels of serum Follicular Stimulating Hormone (FSH) ≥40mIU/mlat 6 weeks apart. There are many reasons for POF and commonly is idiopathic (60% t...

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Autores principales: El-Jabu H (Autor), Elfortia I (Autor), Andisha A (Autor), Gerriw B (Autor), Ben-Saleh H (Autor), Abukail R (Autor), Mlitan H (Autor), El-Gomati E (Autor), Elmahjoob E (Autor)
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Publicado: Global Journal of Fertility and Research - Peertechz Publications, 2019-09-16.
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042 |a dc 
100 1 0 |a El-Jabu H  |e author 
700 1 0 |a  Elfortia I  |e author 
700 1 0 |a  Andisha A  |e author 
700 1 0 |a  Gerriw B  |e author 
700 1 0 |a  Ben-Saleh H  |e author 
700 1 0 |a  Abukail R  |e author 
700 1 0 |a  Mlitan H  |e author 
700 1 0 |a  El-Gomati E  |e author 
700 1 0 |a Elmahjoob E  |e author 
245 0 0 |a Prediction of Premature Ovarian Insuffi ciency and prevalence of medical diseases 
260 |b Global Journal of Fertility and Research - Peertechz Publications,   |c 2019-09-16. 
520 |a <p><strong>Background:</strong> Premature Ovarian Failure (POF) represents 1% among women below the age of 40 and can be diagnosed by two levels of serum Follicular Stimulating Hormone (FSH) ≥40mIU/mlat 6 weeks apart. There are many reasons for POF and commonly is idiopathic (60% to 80%). POF has a negative impact on the psychological, social and quality of life of females.</p><p><strong>Objective:</strong> This study aims to find the possibility of prediction of Premature Ovarian Insufficiency (POI) and its relation to medical disorders.</p><p><strong>Materials and methods:</strong> A retrospective study was conducted at the National Center for Diagnosis and Treatment of Infertility- Misurata, Libya. A total of 350 patients with POI were involved. The Inclusion Criteria were: age <40 years, with high serum FSH level, low Anti-Mullrian Hormone (AMH) and low Antra-Follicular Count (AFC). The hormonal essay including FSH, Luteinzing Hormone (LH), Estradiol (E2), Thyroid-Stimulating Hormone (TSH), Prolactin and Fasting Blood Sugar (FBS) along with the medical history was collected.</p> <p><strong>Results:</strong> Overall collected cases had a mean age (31.19±3.86 years) and the medical disorders represented 47% of POI causes. Hypothyroidism, Hyperprolactinemia and Diabetes Mellitus were the most common associated disorders (31%, 30%, 14% respectively). The increase in the level of FSH (14.78±12.87) was the most sensitive test to predict POI especially in hypothyroidism cases, which could help to predict ovarian failure in those groups of people.</p> <p><strong>Conclusion:</strong> There is a strong association between POI and medical conditions especially Hypothyroidism. Changes in FSH are the most sensitive test among ovarian markers to predict POF.</p> 
540 |a Copyright © El-Jabu H et al. 
546 |a en 
655 7 |a Research Article  |2 local 
856 4 1 |u https://doi.org/10.17352/gjfr.000013  |z Connect to this object online.