OBJECTIVE: The objective of this study was to investigate whether follicle stimulating hormone (FSH), anti-Mullerian hormone (AMH) and inhibin B could be useful in predicting the ovarian response to gonadotrophin stimulation in assisted reproduction patients who are considered to be poor responders. DESIGN: Prospective study. SETTING: Fertility unit. SAMPLE: Blood samples were collected on day five or six in the early follicular phase of an untreated menstrual cycle. Samples were collected from 69 patients. METHODS: Serum samples were assayed for FSH, AMH and inhibin B using commercial immunoassay kits. MAIN OUTCOME MEASURES: Response to gonadotrophin stimulation and number of eggs collected. RESULTS: Among the 69 patients, 52 patients completed an IVF cycle and 17 patients had to cancel the cycle because of poor ovarian response to gonadotrophin stimulation. Mean FSH levels were significantly higher (P < 0.05) in the cancelled group (10.69 +/- 2.27 mIU/mL) compared with the cycle-completed group (7.89 +/- 0.78 mIU/mL). Mean AMH levels were significantly lower (P < 0.01) in the cancelled group (0.175 +/- 0.04 ng/mL) compared with the cycle-completed group (1.13 +/- 0.2 ng/mL). Mean inhibin B levels were significantly lower (P < 0.001) in the cancelled group (70 +/- 12.79 pg/mL) compared with the completed group (126.9 +/- 8.8 pg/mL). Predictive statistics show that AMH is the best single marker and that the combination of FSH, AMH and inhibin B is modestly better than the single marker. Linear regression analysis in the cycle completed patients shows that although FSH (r= 0.25, P < 0.05) and inhibin B (r= 0.35, P < 0.05) have a significant linear association with the number of eggs collected, AMH has the greatest association (r= 0.69, P < 0.001) with the number of eggs collected among the parameters measured. CONCLUSION: In this particular group of IVF patients, AMH is the best single marker of ovarian response to gonadotrophin stimulation. The combined markers modestly improved the prediction.
OBJECTIVE: The objective of this study was to investigate whether follicle stimulating hormone (FSH), anti-Mullerian hormone (AMH) and inhibin B could be useful in predicting the ovarian response to gonadotrophin stimulation in assisted reproduction patients who are considered to be poor responders. DESIGN: Prospective study. SETTING: Fertility unit. SAMPLE: Blood samples were collected on day five or six in the early follicular phase of an untreated menstrual cycle. Samples were collected from 69 patients. METHODS: Serum samples were assayed for FSH, AMH and inhibin B using commercial immunoassay kits. MAIN OUTCOME MEASURES: Response to gonadotrophin stimulation and number of eggs collected. RESULTS: Among the 69 patients, 52 patients completed an IVF cycle and 17 patients had to cancel the cycle because of poor ovarian response to gonadotrophin stimulation. Mean FSH levels were significantly higher (P < 0.05) in the cancelled group (10.69 +/- 2.27 mIU/mL) compared with the cycle-completed group (7.89 +/- 0.78 mIU/mL). Mean AMH levels were significantly lower (P < 0.01) in the cancelled group (0.175 +/- 0.04 ng/mL) compared with the cycle-completed group (1.13 +/- 0.2 ng/mL). Mean inhibin B levels were significantly lower (P < 0.001) in the cancelled group (70 +/- 12.79 pg/mL) compared with the completed group (126.9 +/- 8.8 pg/mL). Predictive statistics show that AMH is the best single marker and that the combination of FSH, AMH and inhibin B is modestly better than the single marker. Linear regression analysis in the cycle completed patients shows that although FSH (r= 0.25, P < 0.05) and inhibin B (r= 0.35, P < 0.05) have a significant linear association with the number of eggs collected, AMH has the greatest association (r= 0.69, P < 0.001) with the number of eggs collected among the parameters measured. CONCLUSION: In this particular group of IVFpatients, AMH is the best single marker of ovarian response to gonadotrophin stimulation. The combined markers modestly improved the prediction.
Authors: Bruno Ramalho de Carvalho; Ana Carolina Japur de Sá Rosa e Silva; Júlio César Rosa e Silva; Rosana Maria dos Reis; Rui Alberto Ferriani; Marcos Felipe Silva de Sá Journal: J Assist Reprod Genet Date: 2008-08-05 Impact factor: 3.412
Authors: Susan E Appt; Thomas B Clarkson; Patricia B Hoyer; Nancy D Kock; Amanda K Goode; M Christina May; Joseph T Persyn; Neal K Vail; Kelly F Ethun; Haiying Chen; Nivedita Sen; Jay R Kaplan Journal: Comp Med Date: 2010-10 Impact factor: 0.982