Discontinuation of rLH two days before hCG may increase the number of oocytes retrieved in IVF

Recombinant LH supplementation to a standard GnRH antagonist protocol in women of 35 years or older undergoing IVF/ICSI: a randomized controlled multicentre study

STUDY QUESTION

Does the addition of exogenous LH to an IVF/ICSI stimulation protocol with recombinant FSH (r-FSH) and a GnRH antagonist improve the ovarian response and pregnancy rates in women of 35 years and older?

SUMMARY ANSWER

Supplementation of LH during the second half of the follicular phase has no effect on pregnancy rates, implantation rates or on ovarian response in women of 35 years and older undergoing GnRH antagonist IVF/ICSI cycles.

WHAT IS KNOWN ALREADY

In IVF/ICSI stimulation protocols GnRH agonists or antagonists are administered to prevent a premature pituitary LH surge, which can have a detrimental effect on the IVF/ICSI procedure. In effect, GnRH analogues cause the levels of both gonadotrophins to drop. In order to allow follicle growth FSH is administered exogenously, whereas LH is usually not supplemented. Although GnRH analogues prevent LH surges, there is evidence that, particularly in older women, administration of GnRH analogues may cause endogenous LH levels to decrease excessively. Several studies have been performed to investigate whether the addition of recombinant LH (r-LH) to r-FSH improves cycle outcome. Only a few studies have analysed this issue in the GnRH antagonist protocol and the results of these trials obtained in older women (>35 years old) are conflicting.

STUDY DESIGN, SIZE, DURATION

A multicentre RCT was performed between 2004 and 2010 in 253 couples who were undergoing IVF or ICSI. Women were 35 years or older and received ovarian stimulation in a protocol with r-FSH (Gonal-F 225 IU/day) starting from cycle day 3 and GnRH antagonist (Cetrotide 0.25 mg/day) from stimulation day 6. Randomization took place on stimulation day 6 to receive both r-FSH and r-LH (Luveris 150 IU/day) or continue with FSH alone. Randomization for r-LH supplementation was performed centrally by serially numbered, opaque, sealed envelopes, stratified by centre.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Of 253 subjects randomized, 125 received both r-FSH and r-LH and 128 received r-FSH only. Patients were recruited from the Division of Reproductive Medicine of the Obstetrics and Gynaecology department of four hospitals in the Netherlands.

MAIN RESULTS AND THE ROLE OF CHANCE

There were no demographic or clinical differences between the groups. The intention-to-treat analysis revealed that of those receiving both r-FSH and r-LH, 35 (28.0%) had a clinical pregnancy, compared with 38 (29.7%) receiving only r-FSH (mean difference -1.5%; 95% confidence interval (CI) -9.4 to 12.7, P = 0.9). Ongoing pregnancy rates were 25 (20%) versus 28 (21.9%) (mean difference -1.9%; 95% CI -8.2 to 11.9, P = 0.9) and implantation rates 18.8 versus 20.7% (mean difference -1.9%; 95% CI -8.0 to 11.7, P = 0.6) in the 'r-FSH and r-LH' and 'r-FSH only' groups respectively.

LIMITATIONS, REASONS FOR CAUTION

A limitation of our study is its early closure. This was done because the interim analysis after randomization of 250 patients indicated no benefit in any aspect of the experiment.

WIDER IMPLICATIONS OF THE FINDINGS

Given previous data, including a Cochrane review, and our own results the evidence indicates that LH supplementation has no benefit on ongoing pregnancy rates in women of 35 years or older.

STUDY FUNDING/COMPETING INTEREST(S)

Merck Serono Netherlands, an affiliate of Merck Serono SA- Geneva, an affiliate of Merck KGaA, Darmstadt, Germany has donated the r-LH (Luveris(®)). No conflict of interest to declare.

TRIAL REGISTRATION NUMBER

The trial was registered in the Dutch trial register (ISRCTN10841210).

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

BACKGROUND

The objective was to present a new ovarian response prediction index (ORPI), which was based on anti-Müllerian hormone (AMH) levels, antral follicle count (AFC) and age, and to verify whether it could be a reliable predictor of the ovarian stimulation response.

METHODS

A total of 101 patients enrolled in the ICSI programme were included. The ORPI values were calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2-9 mm), and the result was divided by the age (years) of the patient (ORPI=(AMH x AFC)/Patient age).

RESULTS

The regression analysis demonstrated significant (P<0.0001) positive correlations between the ORPI and the total number of oocytes and of MII oocytes collected. The logistic regression revealed that the ORPI values were significantly associated with the likelihood of pregnancy (odds ratio (OR): 1.86; P=0.006) and collecting greater than or equal to 4 oocytes (OR: 49.25; P<0.0001), greater than or equal to 4 MII oocytes (OR: 6.26; P<0.0001) and greater than or equal to 15 oocytes (OR: 6.10; P<0.0001). Regarding the probability of collecting greater than or equal to 4 oocytes according to the ORPI value, the ROC curve showed an area under the curve (AUC) of 0.91 and an efficacy of 88% at a cut-off of 0.2. In relation to the probability of collecting greater than or equal to 4 MII oocytes according to the ORPI value, the ROC curve had an AUC of 0.84 and an efficacy of 81% at a cut-off of 0.3. The ROC curve for the probability of collecting greater than or equal to 15 oocytes resulted in an AUC of 0.89 and an efficacy of 82% at a cut-off of 0.9. Finally, regarding the probability of pregnancy occurrence according to the ORPI value, the ROC curve showed an AUC of 0.74 and an efficacy of 62% at a cut-off of 0.3.

CONCLUSIONS

The ORPI exhibited an excellent ability to predict a low ovarian response and a good ability to predict a collection of greater than or equal to 4 MII oocytes, an excessive ovarian response and the occurrence of pregnancy in infertile women. The 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.