Literature DB >> 30413508

Observational retrospective study of US national utilisation patterns and live birth rates for various ovarian stimulation protocols for in vitro fertilisation.

Vitaly A Kushnir1,2, Sarah K Darmon1, David H Barad1,3, Norbert Gleicher1,3,4,5.   

Abstract

OBJECTIVE: Alternative ovarian stimulation protocols for in vitro fertilisation (IVF) have grown in popularity. Yet, patient populations best suited for these protocols have not been defined. Our objective was, therefore, to determine national IVF utilisation patterns and live birth rates of various ovarian stimulation protocols.
DESIGN: Retrospective cohort study.
SETTING: Academic-affiliated private fertility centre. PARTICIPANTS: Aggregate data published by Society for Assisted Reproductive Technology for autologous IVF cycles performed in the USA during 2014 and 2015 were analysed. IVF cycles were stratified based on ovarian stimulation protocol: 205 705 conventional stimulations, 4397 minimal stimulations, 2785 natural cycles and 514 in vitro maturation (IVM) cycles. Repeat cycles could not be determined in this analysis. OUTCOME MEASURES: Utilisation patterns and age-specific live birth rates for various ovarian stimulation protocols.
RESULTS: With advancing female age, utilisation of conventional stimulation protocols decreased, while minimal stimulation and natural cycle IVF increased. Diminished ovarian reserve diagnoses were in all age groups less prevalent in patients undergoing conventional stimulation than with all other protocols. Live birth rates were highest with conventional stimulation at 42.4%, 33.1%, 22.1%, 11.7% and 3.9% for <35, 35-37, 38-40, 41-42 and >42 female age groups, respectively. The difference in live birth rates between conventional stimulation and other protocols widened with advancing age from 1.6-fold to 3.9-fold among women <35 years of age, reaching 4.4-fold to 6.6-fold among women >42 years of age.
CONCLUSIONS: In comparison to conventional stimulation IVF-minimal stimulation, natural cycle IVF and IVM protocols offer lower but still acceptable live birth rates among young women. These alternative protocols are frequently used in older women and those with diminished ovarian reserve, despite their lower live birth rates. The reasons for this apparent incongruity warrant further careful exploration. © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  In vitro fertilisation (ivf); live birth rates; ovarian stimulation protocols

Mesh:

Year:  2018        PMID: 30413508      PMCID: PMC6231596          DOI: 10.1136/bmjopen-2018-023124

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Retrospective cohort study of aggregate US national data on autologous in vitro fertilisation cycles performed during 2014 and 2015. Data were analysed to determine utilisation patterns and age-specific live birth rates for various ovarian stimulation protocols. Limitations stem from a lack of standardised definitions and confounding patient characteristics which could not be fully adjusted for.

Introduction

Selection of ovarian stimulation protocols for in vitro fertilisation (IVF) greatly affects chances of live birth. Multiple studies have demonstrated that live birth rates increase in parallel with oocyte yields and number of available embryos for transfer.1–6 Yet, ovarian stimulation protocols that, a priori, produce lower oocyte and embryo yields in IVF cycles, have become increasingly popular,7 including natural cycle IVF,8 minimal stimulation IVF9 and in vitro maturation (IVM).10 11 Utilisation of these protocols has increased with different motivations. For example, minimal stimulation IVF has been promoted as being more physiological, gentle, patient-friendly and cost-effective, causing controversy.12–14 Though cumulative live birth rates with minimal stimulation IVF in a recent randomised controlled trial report were lower than with conventional stimulation,15 the same authors, nevertheless, concluded that minimal stimulation IVF for many patients represents an overall superior approach.16 Controversy regarding the efficacy of minimal stimulation protocols is further highlighted by two recent review articles which reached quite different conclusions. The first review concluded that in routine practice conventional stimulation is superior to minimal stimulation IVF based of four fundamental issues: prevalence of severe ovarian hyperstimulation syndrome, oocyte/embryo quality, pregnancy/live birth rates and cost.17 On the other hand, another review article summarising a heterogeneous group of clinical studies reached more favourable conclusions of minimal stimulation IVF suggesting that its use should be increased worldwide.18 Since utilisation patterns and live birth rates for various ovarian stimulation protocols have never been compared on a large scale, we here analyse published US national IVF live birth rates based on type of ovarian stimulation. The purpose of this study was not to confirm or reject claims made in the literature in support of any one of these stimulation protocols. For that purpose, readers are referred to recent publications.17–19 To facilitate patient counselling, we here instead, simply, wish to report how in the US utilisation patterns and live birth rates differ at varying ages with various ovarian stimulation protocols with reference point cycle start. As this study will demonstrate, national US outcome data for IVF largely are contradictory to current utilisation patterns of alternative ovarian stimulation protocols.

Methods

As reported in the 2014–2015 publicly available data set of the Society for Assisted Reproductive Technology (SART),20 we compared female age-stratified IVF live birth for various ovarian stimulation protocols, including conventional and minimal stimulations, natural cycles and IVM cycles. IVF cycles were stratified based on ovarian stimulation protocols: 205 705 conventional stimulations, 4397 minimal stimulations, 2785 natural cycle and 514 IVM cycles. Since ovarian reserve is a major predictor of response to ovarian stimulation and ultimately chance of live birth with IVF, we also performed above analyses specifically for patients with diminished ovarian reserve (DOR) diagnosis for each age group and treatment protocol. SART reports are based on anonymised aggregate data of US fertility centres, which collectively perform over 90% of all US IVF cycles. As previously described, these source data undergo annual validation.21 SART allows each reporting fertility centre to assign to each IVF cycle the stimulation protocol that is most fitting to the following common definitions: (1) Conventional stimulation, ‘administration of injectable gonadotropins for approximately 8–10 days to recruit multiple mature eggs’; (2) Minimal stimulation, ‘uses lower doses of injectable gonadotropins than those used for conventional ovarian stimulation. The lower doses of medication may lead to recruitment of fewer eggs than conventional stimulation, the definition …may vary among clinic as there is no universal standard for minimal stimulation’; (3) Natural cycle, ‘requires no fertility medication’ and (4) IVM, ‘collection of immature eggs that are then incubated in the laboratory prior to IVF’.20 Live birth rates are now assessed by SART with reference point cycle start, with first embryo transfers considered, whether fresh or the first frozen-thawed transfer in all-freeze cycles.22 Outcome comparisons between stimulation protocols were made using the two-tailed Fisher’s exact test, and the Wilson CI for binomial proportions. Conventional stimulation IVF served as the reference for all statistical comparisons. P values of <0.05 were considered statistically significant. All statistical analyses were performed by the centre’s principal statistician (SKD), using SAS V.9.4 statistical software.

Patient and public involvement

Patients were not involved in the design of the study.

Results

Table 1 summarises the characteristics of IVF cycles for each ovarian stimulation protocol, it is stratified by female age group. Mean numbers of transferred embryos with advancing female age increased more rapidly among women undergoing conventional stimulation IVF than among those undergoing all other stimulation protocols. With advancing age, the number and proportion of conventional stimulation cycles, however, decreased, while minimal stimulation and natural IVF cycles increased. As expected, the proportion of patients with DOR in all groups increased with advancing age but was somewhat lower among women undergoing conventional stimulation IVF than among those undergoing all other stimulation protocols. Interestingly, 57.9% of all minimal stimulation and natural IVF cycles were performed by only two US IVF centres, suggesting that these two protocols have received only limited acceptance.
Table 1

IVF cycle characteristics for each ovarian stimulation protocol stratified by female age group

Female age group<3535–3738–4041–42>42
Conventional stimulation IVFCycle starts83 63743 66141 66121 80914 937
(98.5%)(97.7%)(96.0%)(93.7%)(87.1%)
Cancelled cycles5.5%8.3%11.0%13.6%16.4%
Retrievals with no embryos suitable for transfer4.0%6.8%11.2%17.9%24.8%
Mean no of embryos transferred1.61.822.42.7
Elective single embryo transfer37.0%27.1%17.9%11.4%7.3%
DOR5.4%11.7%21.2%34.0%44.2%
Minimal stimulation IVFCycle starts67862710509221120
(0.8%)(1.4%)(2.4%)(4.0%)(6.5%)
Cancelled cycles10.0%12.9%11.5%15.9%15.7%
Retrievals with no embryos suitable for transfer18.2%24.5%34.1%44.3%39.8%
Mean no of embryos transferred1.51.51.51.61.7
Elective single embryo transfer36.6%35.8%39.6%36.9%29.6%
DOR14.0%30.3%46.4%64.1%66.8%
Natural cycle IVFCycle starts4513145744431003
(0.5%)(0.7%)(1.3%)(1.9%)(5.8%)
Cancelled cycles21.1%26.8%22.1%20.8%24.1%
Retrievals with no embryos suitable for transfer12.1%20.4%21.3%29.9%31.4%
Mean no of embryos transferred1.21.21.21.21.2
DOR14.9%17.3%29.1%41.3%48.6%
IVMCycle starts120821309389
(0.1%)(0.2%)(0.3%)(0.4%)(0.5%)
Cancelled cycles1.7%0.0%0.0%0.0%1.1%
Retrievals with no embryos suitable for transfer28.8%22.0%18.5%25.8%21.6%
Mean no of embryos transferred1.81.921.81.7
DOR11.7%25.6%42.3%47.3%51.7%

Cycle number is based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology.

Proportion of patients with DOR diagnosis are significantly different between ovarian stimulation protocols in all age groups (p<0.0001).

Mean number of embryos transferred is based on final 2014 data.

DOR, diminished ovarian reserve; IVF, in vitro fertilisation; IVM, in vitro maturation.

IVF cycle characteristics for each ovarian stimulation protocol stratified by female age group Cycle number is based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology. Proportion of patients with DOR diagnosis are significantly different between ovarian stimulation protocols in all age groups (p<0.0001). Mean number of embryos transferred is based on final 2014 data. DOR, diminished ovarian reserve; IVF, in vitro fertilisation; IVM, in vitro maturation. Table 2 summarises the pregnancy outcomes for each ovarian stimulation protocol used during the IVF cycle, the data are stratified by female age group. In addition, figure 1 demonstrates in more detail the primary live birth rates for the various ovarian stimulation protocols, stratified by female age. As the figure demonstrates, starting with youngest patients under age 35 years up to oldest patients above age 42, conventional ovarian stimulations uniformly resulted in the highest live birth rates, followed by minimal stimulations, natural cycles and IVM. While this order was most pronounced in youngest women under age 35, differences between minimal stimulation, natural cycles and IVM disappeared above age 35 years, though dominance of conventional stimulations over all other stimulation protocols increased with advancing age.
Table 2

In vitro fertilisation (IVF) pregnancy outcome for each ovarian stimulation protocol stratified by female age group

Female age group<3535–3738–4041–42>42
Conventional stimulation IVFMiscarriage11.7%15.2%21.8%31.5%46.1%
Live birth42.4%33.1%22.1%11.7%3.9%
Confidence range(42.1 to 42.8)(32.7 to 33.6)(21.7 to 22.5)(11.3 to 12.1)(3.6 to 4.3)
Singleton32.5%26.7%18.2%10.2%3.6%
Twins or more9.9%6.4%3.9%1.5%0.3%
Term77.5%79.2%80.1%81.8%84.7%
Preterm22.5%20.8%19.9%18.2%15.3%
Minimal stimulation IVFMiscarriage10.1%21.2%16.7%30.4%47.6%
Live birth26.1%14.0%8.9%3.3%0.9%
Confidence Range(22.9 to 29.5)(11.5 to 17.0)(7.3 to 10.7)(2.3 to 4.6)(0.5 to 1.6)
Singleton21.8%11.5%8.4%3.3%0.8%
Twins or more4.3%2.6%0.5%0.0%0.1%
Term85.3%75.0%86.0%80.0%70.0%
Preterm14.7%25.0%14.0%20.0%30.0%
Natural cycle IVFMiscarriage18.4%16.2%22.6%32.0%53.8%
Live birth15.7%9.9%7.1%3.8%0.6%
Confidence range(12.7 to 19.4)(7.0 to 13.7)(5.3 to 9.6)(2.4 to 6.1)(0.3 to 1.3)
Singleton13.7%8.6%6.8%3.4%0.5%
Twins or more2.0%1.3%0.3%0.5%0.1%
Term88.7%80.6%85.4%88.2%100.0%
Preterm11.3%19.4%14.6%11.8%0.0%
In vitro maturationMiscarriage27.8%20.0%20.0%100.0%100.0%
Live birth10.8%9.8%11.5%0.0%0.0%
Confidence range(6.4 to 17.7)(5.0 to 18.1)(7.1 to 18.2)--
Singleton10.0%8.5%9.2%--
Twins or more0.8%1.2%2.3%--
Term76.9%100.0%80.0%--
Preterm23.1%0.0%20.0%--
Figure 1

Primary live birth rate per oocyte retrieval cycle for the whole study population stratified by ovarian stimulation protocol. Based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology. Conventional stimulation IVF served as the reference for all statistical comparisons. *P<0.05. IVF, in vitro fertilisation.

Primary live birth rate per oocyte retrieval cycle for the whole study population stratified by ovarian stimulation protocol. Based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology. Conventional stimulation IVF served as the reference for all statistical comparisons. *P<0.05. IVF, in vitro fertilisation. In vitro fertilisation (IVF) pregnancy outcome for each ovarian stimulation protocol stratified by female age group The difference in live birth rates between conventional stimulation and other protocols, thus, widened with advancing female age from 1.6-fold to 3.9-fold among women under 35 years to 4.4-fold to 6.6-fold among women above age 42. Excluding data from the above mentioned two centres which performed 57.9% of all minimal stimulation and natural IVF cycles showed slightly higher live birth rates (between 0.7% and 6.1%) for these protocols in the remaining centres for all age groups, however, the live birth rates remained significantly lower than those achieved with conventional stimulation. To assess the impact of DOR as a confounder, we separately assessed only patients with DOR (figure 2). As expected, DOR patients across all age groups demonstrated lower live birth rates than the entire study population (figure 1). However, even DOR patients, separately, again demonstrated the widening difference in live birth rates between conventional stimulation and other protocols with advancing female age from 2.8-fold among women under 35 years old to 5.2-fold among women above age 42.
Figure 2

Primary live birth rates per oocyte retrieval cycle for patients with diminished ovarian reserve diagnosis stratified by ovarian stimulation protocol. Based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology. Conventional stimulation IVF served as the reference for all statistical comparisons. *P<0.05. IVF, in vitro fertilisation.

Primary live birth rates per oocyte retrieval cycle for patients with diminished ovarian reserve diagnosis stratified by ovarian stimulation protocol. Based on combined final 2014 and preliminary 2015 US national data reported by Society for Assisted Reproductive Technology. Conventional stimulation IVF served as the reference for all statistical comparisons. *P<0.05. IVF, in vitro fertilisation.

Discussion

As expected, here presented data confirm universally declining live birth rates with advancing female age. However, somewhat unexpected, the data also reveal contradictory findings to current practice patterns. For example, as table 1 demonstrates, alternative stimulations to conventional stimulations are increasingly used with advancing female age; yet, as figure 1 demonstrates, especially minimal stimulation and natural cycle IVF, while still producing lower live birth rates than conventional stimulation, are clearly more effective in younger women under age 35 than at older ages. Especially minimal ovarian stimulation with a 26.1% live birth rate and natural cycle IVF with a 15.7% live birth rate in young women may be considered potential alternatives to conventional stimulation, even though conventional IVF at 42.4% clearly produced higher live birth rates. Here observed live birth rates for minimal stimulation and natural cycles in women under age 35 are, indeed, surprisingly robust. Though the DOR diagnosis was somewhat more common among patients undergoing alternative than conventional stimulations, this difference in DOR prevalence, at most, only partially explains the large difference in live birth rates (figure 1) since restricting the analysis to only patients with DOR did not substantially alter the findings (figure 2). We were not able to analyse other infertility diagnosis such as polycystic ovary syndrome (PCOS) in the present study. It will be important to follow up this analysis for other infertility diagnoses, it is especially interesting to study efficacy of IVM protocols in patients with PCOS. Such an approach may help to identify patients who are best candidates for various protocols. Our study is particularly timely since it shows that national outcome data from routine clinical practice, contradicts observations from small clinical trials, which have recently been used to promote increased worldwide utilisation of minimal stimulation IVF.18 We previously noted that, after female age, number of oocytes retrieved and embryos available for transfer are the most important predictors of live births in IVF cycles.5 23–25 Since implantation rates decline and aneuploidy rates increase with advancing female age, the importance of oocyte and embryo numbers increases because more embryos can be safely transferred into the uterus to compensate for lower implantation rates. Younger women with high implantation rates, in contrast, will often, even with only few embryos, still conceive. Here presented findings, therefore, make clinical sense but are not reflected in how these alternative stimulations are currently clinically used in the USA. Cumulative live birth rates (per embryo cohort in a single cycle) would, likely, favour conventional stimulation even more profoundly, since these protocols are more likely to result in surplus transferable embryos than any of the alternative protocols. This analysis is limited by lack of a standardised definition of minimal stimulation IVF; SART permits individual fertility centres to designate the most fitting stimulation type for each cycle. Additionally, because this analysis is based on aggregate data, we were except for age and diagnosis of DOR, not able to assess confounding patient characteristics, including number of prior IVF attempts and repeat cycles. We, therefore, cannot rule out undiscovered patient selection biases for individual stimulation protocols. It is possible that some patients undergoing stimulation with alternative protocols had prior conventional stimulation with very low oocyte and embryo yields. Moreover, a retrospective study design does not permit to control for various factors which led to the selection of a stimulation protocol by a physician for each patient. We also note that there is an imbalance in the size of the study groups in our analysis with more than 90% of cycles in all age groups receiving conventional stimulation. However, it is important to note that by analysing aggregate national data for the entire population of patients rather than a sample of the population the risk of selection bias is somewhat mitigated. Despite above noted limitations, it is unlikely that adjustments for such biases would substantially change the principal findings given the large sample size and that live birth rates were 1.6-fold to 6.6-fold higher with conventional stimulation than all other protocols. We also note that most minimal stimulation and natural IVF cycles were performed by only two fertility centres, where selection of these protocols is likely more a reflection of practice patterns than biased patient selection of poor prognosis patients. Indeed, while these two centres reported marginally lower live birth rates than other centres, excluding their data from the analysis did not substantially alter the principal findings. Here presented data are, in addition, also consistent with other reports: Silber et al, for example, recently reported in a large number of natural cycles that the chance of live birth per oocyte was 26% under age 35 but only 1% above age 42 years.8 González-Foruria et al also concluded that natural cycle IVF should be restricted to younger women under age 35,26 while Check et al reported similar outcomes for conventional and minimal stimulation cycles under age 35 years but clearly superior outcomes for conventional stimulation at older ages.27 The literature also supports our observation that conventional ovarian stimulation at all ages, including in women under age 36, produces higher live birth rates than here investigated alternative stimulations. A recent randomised controlled trial over a 6-month period demonstrated clearly lower cumulative live birth rates with minimal stimulation IVF than conventional stimulation.15 When paired with strict single embryo transfer policy, a recent European analysis of cost-effectiveness found that three to six minimal stimulation cycles were comparable in cost to one conventional stimulation cycle.28 This observation is relevant regarding the recently reported observation that the wide acceptance by Japanese IVF centres of minimal ovarian stimulation (with blastocyst stage elective single embryo transfer) has resulted in a loss of two-thirds of the national fresh IVF cycle live birth rate over the last decade, while concomitantly tripling the number of IVF cycle starts.19

Conclusions

Because live birth rates are significantly lower with minimal stimulation IVF than conventional IVF in this analysis of national data, cautious use of minimal stimulation protocols in carefully selected patients rather than their universal application is warranted. Alternative stimulation protocols including minimal stimulation, natural cycle IVF and IVM appear relatively ineffective in women older than 40 and younger women with DOR. Despite these observations, such protocols maybe still be useful in patients with severe DOR who previously did not respond to conventional stimulation.
  27 in total

1.  Coming soon to your clinic: high-quality ART.

Authors:  Inge W H van Empel; Willianne L D M Nelen; Rosella P M G Hermens; Jan A M Kremer
Journal:  Hum Reprod       Date:  2008-03-27       Impact factor: 6.918

2.  How many oocytes are optimal to achieve multiple live births with one stimulation cycle? The one-and-done approach.

Authors:  Denis A Vaughan; Angela Leung; Nina Resetkova; Robin Ruthazer; Alan S Penzias; Denny Sakkas; Michael M Alper
Journal:  Fertil Steril       Date:  2016-12-01       Impact factor: 7.329

Review 3.  The myths surrounding mild stimulation in vitro fertilization (IVF).

Authors:  Raoul Orvieto; Valeria Stella Vanni; Norbert Gleicher
Journal:  Reprod Biol Endocrinol       Date:  2017-06-24       Impact factor: 5.211

4.  Minimal stimulation IVF vs conventional IVF: a randomized controlled trial.

Authors:  John J Zhang; Zaher Merhi; Mingxue Yang; Daniel Bodri; Alejandro Chavez-Badiola; Sjoerd Repping; Madelon van Wely
Journal:  Am J Obstet Gynecol       Date:  2015-08-08       Impact factor: 8.661

5.  Coming soon to your clinic: patient-friendly ART.

Authors:  Guido Pennings; Willem Ombelet
Journal:  Hum Reprod       Date:  2007-06-21       Impact factor: 6.918

6.  Age, independent from ovarian reserve status, is the main prognostic factor in natural cycle in vitro fertilization.

Authors:  Iñaki González-Foruria; Juana Peñarrubia; Aina Borràs; Dolors Manau; Gemma Casals; Sara Peralta; Montserrat Creus; Janisse Ferreri; Ester Vidal; Francisco Carmona; Juan Balasch; Francisco Fàbregues
Journal:  Fertil Steril       Date:  2016-04-23       Impact factor: 7.329

7.  Live-birth rates in very poor prognosis patients, who are defined as poor responders under the Bologna criteria, with nonelective single embryo, two-embryo, and three or more embryos transferred.

Authors:  Norbert Gleicher; Mario V Vega; Sarah K Darmon; Andrea Weghofer; Yan-Guan Wu; Qi Wang; Lin Zhang; David F Albertini; David H Barad; Vitaly A Kushnir
Journal:  Fertil Steril       Date:  2015-09-05       Impact factor: 7.329

Review 8.  In vitro maturation for patients with polycystic ovary syndrome.

Authors:  Shauna L Reinblatt; William Buckett
Journal:  Semin Reprod Med       Date:  2008-01       Impact factor: 1.303

Review 9.  Mild stimulation for in vitro fertilization.

Authors:  Geeta Nargund; Adrija Kumar Datta; Bart C J M Fauser
Journal:  Fertil Steril       Date:  2017-10       Impact factor: 7.329

10.  Definition by FSH, AMH and embryo numbers of good-, intermediate- and poor-prognosis patients suggests previously unknown IVF outcome-determining factor associated with AMH.

Authors:  Norbert Gleicher; Vitaly A Kushnir; Aritro Sen; Sarah K Darmon; Andrea Weghofer; Yan-Guang Wu; Qi Wang; Lin Zhang; David F Albertini; David H Barad
Journal:  J Transl Med       Date:  2016-06-10       Impact factor: 5.531

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Authors:  Zaramasina L Clark; Mili Thakur; Richard E Leach; James J Ireland
Journal:  J Assist Reprod Genet       Date:  2021-04-08       Impact factor: 3.357

2.  Clinical Efficacy of Assisted Reproductive Technology Combined with Progesterone Capsules in the Treatment of Infertility Caused by Diminished Ovarian Reserve and Its Influence on Serum FSH, E2, and LH Levels of Patients.

Authors:  Lingqin Chen; Mindong Lai; Xiaojin Huang; Fang Zeng; Wei Xia; Qingping Yang; Sisun Liu
Journal:  J Healthc Eng       Date:  2022-03-24       Impact factor: 2.682

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