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Use of a prediction model for high-order multiple implantation after ovarian stimulation with gonadotropins
Authors:Tur Rosa  Barri Pedro N  Coroleu Buenaventura  Buxaderas Rosario  Parera Núria  Balasch Juan
Affiliation:Reproductive Medicine Service, Department of Obstetrics and Gynaecology, Institut Universitari Dexeus, Barcelona, Spain. rostur@dexeus.com
Abstract:OBJECTIVE: To determine prospectively the effectiveness in clinical practice of a prediction model for high-order multiple pregnancies (HOMP) (triplets or more). DESIGN: Prospective study. SETTING: University teaching hospital. PATIENT(S): Eight hundred forty-nine consecutive infertile patients undergoing a total of 1,542 treatment cycles. INTERVENTION(S): Gonadotropin ovarian stimulation or induction of ovulation without IVF MAIN OUTCOME MEASURE(S): Observed and predicted overall pregnancy rates and the incidence of HOMP. RESULT(S): The use of the prediction model (implying cancellation of all cycles at high risk for HOMP) would result in an 8% (95% confidence interval, 6.8%-9.2%) reduction of overall pregnancy rate but also in a 285% (95% CI, 279%-291%) reduction of HOMP. CONCLUSION(S): By using our prediction model, it was possible to maintain a low risk of HOMP with a good pregnancy rate in patients receiving gonadotropin ovarian stimulation or induction of ovulation without IVF.
Keywords:Gonadotropins   high-order multiple gestation   multiple pregnancy   ovulation induction
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