scholarly journals Prediction of Ovarian Response with Ovarian Response Prediction Index (Orpi) during Controlled Ovarian Stimulation in IVF

2020 ◽  
Vol 8 (3) ◽  

(Background): To evaluate ORPI as an index to predict the response to ovarian stimulation. (Methods): It is an observational prospective study of 734 patients who underwent controlled ovarian stimulation during period of 1.5 years (July 2017 to December 2018) .Inclusion and exclusion criteria were taken into consideration when patients were recruited. ORPI is calculated by multiplying AMH level (ng/ml) and AFC (n) and the result is divided by age (years) of the patient. The primary outcome measured was number of MII oocytes and secondary outcome was total number of oocytes retrieved. (Results): Positive correlation of ORPI with MII oocytes and total number of oocytes is seen. Regarding the probability of collecting ≥4 oocytes under the ROC curve, the AUC for ORPI is 0.68 (95%CI 0.65-0.72) with sensitivity of 78.4 and specificity of 51.4 for a cut off of >0.44. For collecting ≥ 15 oocytes ROC curve had an AUC of 0.72 with sensitivity of 66.7 and specificity of 73.4 for a cut off of >1.28. ROC curve for the probability of collecting ≥4 MII oocytes depicted an AUC of 0.67 with cut off of >0.77. (Conclusion): The results of our study concluded that in a patient undergoing IVF treatment, ORPI has a poor ability to predict retrieval of ≥4 oocytes or ≥ 4 MII and fair ability for hyper response with ≥15 oocytes. ORPI can serve as a counselling tool for predicting ovarian response.

2013 ◽  
Vol 17 (2) ◽  
Author(s):  
Joao Batista A Oliveira ◽  
Claudia G Petersen ◽  
Ana L Mauri ◽  
Mario Cavagna ◽  
Ricardo LR Baruffi ◽  
...  

Medicine ◽  
2017 ◽  
Vol 96 (13) ◽  
pp. e6495 ◽  
Author(s):  
Haiyan Zheng ◽  
Shiping Chen ◽  
Hongzi Du ◽  
Jiawei Ling ◽  
Yixuan Wu ◽  
...  

Author(s):  
Joao Batista A Oliveira ◽  
Ricardo LR Baruffi ◽  
Claudia G Petersen ◽  
Ana L Mauri ◽  
Adriana M Nascimento ◽  
...  

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
D Jonker

Abstract Study question Which individual subject characteristics affect systemic FSH concentrations in women undergoing controlled ovarian stimulation with follitropin delta? Summary answer Body weight is the main determinant of systemic FSH concentrations. Renal function, Asian race, country/region, hepatic function and age have at most a small influence. What is known already After administration of FSH, systemic FSH concentrations are inversely related to body weight. It has been observed that the impact of body weight on ovarian response is clinically relevant at low doses but not at high doses. In patients with anti-Müllerian hormone (AMH) ≥15 pmol/L, follitropin delta is dosed according to each patient’s body weight, which influences systemic FSH concentrations, and her AMH level which predicts ovarian response. Study design, size, duration Serum FSH concentrations were assessed in five randomised, controlled, assessor-blinded, multicentre trials of follitropin delta in women undergoing an assisted reproductive technology programme. The trials were conducted in Europe, America and Asia. In all, 1.665 women treated with follitropin delta contributed to the evaluation with 4052 serum FSH concentrations, measured at steady state by an immunoassay. Participants/materials, setting, methods FSH concentrations were described with a pre-specified one-compartment population pharmacokinetic model. The key model parameters were the apparent total clearance (CL/F) of follitropin delta, the interindividual variability herein and the effects of baseline values of body weight, age, race, country/region, renal and hepatic function on CL/F. Renal function was assessed using the estimated glomerular filtration rate (eGFR) and hepatic function by alanine transaminase (ALT) and bilirubin levels. Main results and the role of chance The area under the FSH concentration-time curve during a dosing interval (AUC) was derived from dose and CL/F. Body weight was the covariate with the most pronounced effect on AUC, both in terms of the effect magnitude and statistical significance. AUC was 1.51-fold higher (90% confidence limits: 1.48; 1.54) in women with the lowest observed body weight of 40 kg compared to women with a typical body weight of 58 kg. The effect of renal function on AUC was small and in the same order of magnitude as the bioequivalence limits (0.8; 1.25). AUC was 1.28-fold higher (90% confidence limits: 1.23; 1.33) in women with the lowest observed eGFR value of 44 mL/min/1.73m2, compared to women with a typical eGFR value of 98 mL/min/1.73m2. The effects of Asian race and country/region (Japan, China, Other Asian) were confounded with each other and well within the bioequivalence limits when evaluated independently. The effects of age and the hepatic function markers ALT and bilirubin were well within the bioequivalence limits. Limitations, reasons for caution The women participating in the trials were generally healthy and the results cannot be transferred to women with renal or hepatic disease. A limited number of Black women contributed to the present analysis but the trend was similar. Data is forthcoming from ongoing trials including larger numbers of Black women. Wider implications of the findings: The findings support dosing follitropin delta by body weight and without adjustment for renal function, hepatic function, race, age or country/region. Trial registration number NCT01426386, NCT02309671, NCT01956110, NCT03228680 and NCT03296527


Author(s):  
B. Kalpana ◽  
Soumya Ranjan Panda

Background: Evaluation of the ovarian reserve is necessary to achieve an appropriate controlled ovarian stimulation (COS). This can be done by correctly predicting the ovarian response. The objective of this study was to derive a simple index by combining the above parameters which will be helpful determining ovarian response.Methods: This retrospective analysis was performed at Guru hospital, Madurai, involving 162 patients between July 2016 and July 2018. Inclusion criteria was all patients attending for their first ICSI (intracytoplasmic sperm injection) cycle between the above period, GnRH agonist protocol as the method of ovarian stimulation, no history of any previous ovarian surgery, presence of both ovaries and no evidence of any obvious endocrine disorders. We calculated MORPI values by multiplying the AMH (ng/ml) level by the number of antral follicles (2-9 mm), and the result was divided by the age (years) of the patient and the day- 3 serum FSH level.Results: At a cut-off value of 35 (AUC-0.952) for collection of ≥ 4 oocytes and 140 (AUC-0.952) for collection of ≥ 15 oocytes, MORPI was found to have optimum sensitivity and specificity under ROC curve analysis.Conclusions: MORPI is a simple, precise and cost effective index to predict a low ovarian response, the collection of >4 MII oocytes and an excessive ovarian response in infertile women. This index also has a good ability to predict the clinical pregnancy rate. This might be used to improve the cost-benefit ratio of ovarian stimulation regimens.


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