Prediction of the number of oocytes based on AMH and FSH levels in IVF candidates

Abstract

Aim: The purpose of this study was to predict the number of oocytes using anti-Mullerian hormone (AMH) and Follicle Stimulating Hormone (FSH) levels in In Vitro Fertilization (IVF) candidates. Methods: This retrospective cohort study included 121 (23 cases with poor response, 92 cases with normal response, and 6 cases with excessive response) infertile patients. We examined the relationship between AMH and FSH levels and the number of oocytes. The method used in this study was to consider the number of oocytes as the response variable and identify the effective factors. All analyses were performed with free R software. Results: The results show that although the ovarian response is associated with serum AMH levels and the women's age (P=0.04 and P<0.001, respectively), the negative linear and binomial regression yield a significant collinearity and the natural logarithm of AMH alone can be a good estimate of the ovarian response (P<0.001). ROC curves in logistic regression were used to determine cutoff points. The results of this regression showed that the natural logarithm of AMH with a cutoff value of 1.36 ng/ml can determine the line between the poor and normal ovarian response (P<0.01). The natural logarithm of AMH cannot determine the cutoff value of normal and excessive ovarian response (P>0.05). Conclusion: The use of serum AMH levels is important for the prediction of poor ovarian response.

Keywords

• Anti-Mullerian Hormone
• Ovarian Response
• Oocytes

IVF adaylarında AMH ve FSH seviyelerine göre oosit sayısının tahmini

Abstract

Amaç: Bu çalışmanın amacı IVF tedavisi planlanan olgularda serum AMH ve FSH düzeylerini kullanarak oosit sayısını tahmin etmektir. Yöntemler: Bu retrospektif kohort çalışma 121 infertil hastayı (düşük over rezervi (n=23), normal over rezervi (n=92) ve yüksek over rezervi (n=6)) kapsamaktadır. Çalışmada AMH, FSH ve oosit sayıları arasındaki ilişki değerlendirilmiştir. Oosit sayısı değişken yanıt olarak kabul edilip etkileyen faktörler tanımlanmıştır. Tüm analizler ücretsiz R software ile yapılmıştır. Bulgular: Sonuçlar, over cevabının serum AMH seviyeleri ve ayrıca kadınların yaşı (sırasıyla P=0,04 ve P<0,001) ile ilişkili olmasına rağmen, negatif doğrusal ve binom regresyonunun, anlamlı bir eşdoğrusallık ve tek başına AMH'nin doğal logaritmasının olduğunu gösterdiğini göstermektedir ve over cevabı için iyi bir tahmini olabilir (P<0,001). Kesim noktalarını belirlemek için lojistik regresyondaki ROC eğrileri kullanılmıştır. Bu regresyonun sonuçları, 1,36 ng/ml'lik bir kesme değerine sahip doğal AMH logaritmasının, zayıf ve normal yumurtalık tepkisi arasındaki sınırı belirleyebileceğini gösterdi (P<0,01). AMH'nin doğal logaritması, normal ve aşırı over cevabının kesim değerini belirleyemez (P>0,05). Sonuç: AMH özellikle düşük over rezervinin tahmininde predikte edici önemli bir faktördür.

Keywords

• Anti-Mülleryan Hormon
• Over Cevabı
• Oosit

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