A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation

Oliveira, J.B.A.; Baruffi, R.L.R.; Petersen, Claudia G.; Mauri, A.L.; Nascimento, A. M. do; Vagnini, L.D.; Ricci, Juliana; Cavagna, M.; Franco, J.G.

doi:10.1186/1477-7827-10-94

Cited by 43 publications

(48 citation statements)

References 53 publications

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“…Other parameters have been proposed recently: for example, ovarian response prediction index (ORPI) [32], calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2-9 mm) and dividing the result by the age (years) of the patient [ORPI = (AMH Â AFC)/ patient age]. The authors concluded that ORPI might be used to improve the cost-benefit ratio of ovarian stimulation regimens by guiding the selection of medications and by modulating the doses and regimens according to the actual needs of the patients.…”

Section: Discussionmentioning

confidence: 99%

FSHR gene polymorphisms affect the ovarian response to rFSH stimulation in Egyptian patients undergoing ARTs

El-Garf¹,

Salem²,

Elnouri

et al. 2014

Medical Research Journal

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Objective The aim of the study was to assess the potential of follicle-stimulating hormone receptor (FSHR) gene polymorphism for predicting ovarian response to FSH stimulation.Methods We retrospectively analyzed clinical data of 150 infertile women younger than 40 years who were attending the National Research Center infertility clinic, Egypt. These women were divided into two groups: group I patients (75 patients) were considered as poor ovarian responders according to the 'Bologna criteria' and group II patients (75 patients) were considered as good responders. Analysis of FSHR gene polymorphism at position 680 was carried out after the women were genotyped.Results Among Egyptian women, the frequency of the Asn/Asn genotype was significantly more prevalent in the poor responder group (65.3%) compared with the good responder group (24.0%) (P < 0.05); the Ser/Asn genotype was seen in 34.7% of poor responders compared with 64% of good responders and the Ser/Ser phenotype was seen only in good responders (12%).

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Section: Discussionmentioning

confidence: 99%

FSHR gene polymorphisms affect the ovarian response to rFSH stimulation in Egyptian patients undergoing ARTs

El-Garf¹,

Salem²,

Elnouri

et al. 2014

Medical Research Journal

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“…Serum FSH and LH concentration were used to calculate FSH/LH ratio. The ORPI was defined by the following equation: ORPI = (AMH × AFC)/Patient age [9].…”

Section: Calculation Of Body Mass Index (Bmi) Fsh/lh Ratio and Ovarimentioning

confidence: 99%

“…According to the retrieved oocyte numbers, ovarian response categories were divided into low response (oocytes ≤3), normal response (4-14 oocytes) and excessive response (oocytes ≥15) [9,10].…”

Section: Roc Curve Analysis For Forecasting Ovarian Responsementioning

confidence: 99%

“…The FSH/LH ratio can be used to differentiate between decreased and normal response cycles, and the elevated day-3 FSH/LH ratio is associated with an inferior outcome in IVF treatment cycles [6 8]. Oliveira et al [9] innovatively used ORPI to assess ovarian response and found that ORPI exhibited an excellent ability to predict low or excessive ovarian response, a collection of greater than or equal to four MII oocytes and the occurrence of pregnancy in infertile women.…”

Section: Introductionmentioning

confidence: 99%

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The evaluative effectiveness of a combined index exceeded that of a single variable for the ovarian reserve and response of infertile women

Zhou

Zhao

et al. 2019

Preprint

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Aim of the present study was to explore the evaluative effectiveness of age, ovarian volume, antral follicle count (AFC), serum follicle-stimulating hormone (FSH), anti-Müllerian hormone (AMH), FSH/LH ratio and ovarian response prediction index (ORPI) to determine which could most advantageously assess ovarian reserve and response.Methods This research enrolled 319 consecutive infertile women who had undergone IVF-ET/ICSI treatments. Abovementioned variables were measured and calculated. Receiver Operating Characteristic Curve analysis was used to analyze the predictive accuracy of variables and to calculate cut-off values and corresponding sensitivity and specificity.Results Our study revealed that the significant variables for evaluating a decline in ovarian reserve include age, total volume of bilateral ovary, FSH, and ORPI. Moreover, the area under the curve (AUC) of ORPI was higher than other three variables (AUC = 0.903), and the cut-off value of ORPI was 0.245 (sensitivity 90.1%, specificity 73.9%). The significant variables forecasting excessive ovarian response were age, AFC, AMH, ORPI, FSH and FSH/LH ratio, and the significant variables forecasting low ovarian response were AMH and FSH/LH ratio. ORPI and FSH/LH ratio presented better effectiveness in evaluating ovarian response. When they were used to predict excessive response, the cut-off values of ORPI and FSH/LH ratio was 0.886 (sensitivity 84.7%, specificity 67.3%) and 1.753 (sensitivity 56.2%, specificity 67.6%), respectively. When used to predict low response, the cut-off value of FSH/LH ratio was 2.983 (sensitivity 75.0%, specificity 83.8%).Conclusions ORPI performed better than did the other variables in evaluating ovarian reserve and predicting excessive ovarian response, and the FSH/LH ratio performed better than did the other variables in predicting low ovarian response. Consequently, we agreed that the evaluative effectiveness of a combined index exceeded that of a single variable for evaluating the ovarian reserve and response of infertile women.

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“…In 2012, our group (Oliveira et al, 2012; 2013) described an ovarian response prediction index (ORPI). The ORPI values were calculated by multiplying the AMH (ng/ml) level by the number of antral follicles (2-9 mm), and then by dividing the outcome by the patient's age (in years).…”

mentioning

confidence: 99%

The ovarian response prediction index (ORPI) as a clinical internal quality control to prevent ovarian hyperstimualtion syndrome

Oliveira

Franco

2016

JBRA Assisted Reproduction

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A new ovarian response prediction index (ORPI): implications for individualised controlled ovarian stimulation

Cited by 43 publications

References 53 publications

FSHR gene polymorphisms affect the ovarian response to rFSH stimulation in Egyptian patients undergoing ARTs

FSHR gene polymorphisms affect the ovarian response to rFSH stimulation in Egyptian patients undergoing ARTs

The evaluative effectiveness of a combined index exceeded that of a single variable for the ovarian reserve and response of infertile women

The ovarian response prediction index (ORPI) as a clinical internal quality control to prevent ovarian hyperstimualtion syndrome

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