- Open Access
Individualized controlled ovarian stimulation in expected poor-responders: an update
Reproductive Biology and Endocrinology volume 16, Article number: 20 (2018)
Controlled ovarian stimulation with subsequent multi-follicular development continues to be a keystone in ART. Evidence supports an individualized approach to ovarian stimulation, usually involving combinations of ovarian reserve tests, body mass index and age to tailor the exogenous gonadotropin dose, and potentially adjuvant treatment aiming for high safety and a shortening of time to live birth. While stimulation and trigger concepts have been developed successfully in normo- and hyperresponder patients, the poor responder patient remains difficult to manage. However, recent advances in definition and classification of the expected poor ovarian responder patient might enable a more accurate and clinically useful interpretation of new treatment concepts in a more homogenous study population. In the present review, we discuss the classification of the expected poor ovarian responder patient as well as clinically useful measurements of efficacy for controlled ovarian stimulation, and finally, we discuss the evidence for clinical management of patients with expected poor ovarian response, including adjuvant treatments such as growth hormone, androgens, and LH activity.
In conclusion, the best available evidence supports that the treatment of the expected poor ovarian response patient should be individualized in all steps of ART, including the choice of GnRH analogue, the gonadotropin type and dose, ovulation trigger, and the possible use of adjuvant therapies.
In modern assisted reproductive technology (ART), as in any medical specialty, individualized treatment is the optimal goal to counterbalance efficacy and safety with the implementation of different ART modalities, optimizing time to live birth. In general, patients embarking on ART treatment can be reassured that they have a relatively good prognosis of obtaining a live birth. Based on a total of 5165 patients from the ART registry in Denmark during the period 2007–2010, a recent study reported a cumulative live birth rate of 71% (95% CI; 70–72%) at 5-year follow-up from the start of treatment . Women aged < 35 years had an 80% live birth rate compared to 61% for women aged 35–39 years and 26% for women aged ≥40 years, emphasizing the importance of giving ART patients an age-stratified prognosis during counseling. With the exponential growth in technological advances, controlled ovarian stimulation (COS) remains the keystone of successful ART treatment, aiming at achieving multi-follicular development to obtain a good chance of transferring embryos with the highest implantation potential . In agreement with recent reports comparing individualized and conventional COS [3, 4], most clinicians use ovarian reserve markers like antral follicle count (AFC) and/or Anti-Müllerian hormone (AMH) for clinical decision-making to tailor the most optimal individualized controlled ovarian stimulation (iCOS) strategy, securing the shortest time to pregnancy and live birth as well as a low risk of ovarian hyperstimulation syndrome (OHSS) development . Thus, efficacy, safety and patient friendliness have become the mantras of modern ART, introducing protocols which decrease OHSS to an absolute minimum without compromising live birth rates [6, 7]. However, the clinical management of patients with poor ovarian reserve, so called poor ovarian responders (PORs) still remains a clinical challenge. This was further complicated by the fact that only until recently there was no general agreement about the diagnosis of POR. Thus, Polyzos and Devroey (2011) reported the use of as many as 41 different POR definitions in a total of 47 randomized controlled trials (RCT), which hampered the clinical value of interstudy comparison and meta-analysis in this heterogenous group of patients . In their title the authors provocatively asked whether there was any “light at the end of the tunnel for the POR patient”. Subsequently, in 2011, an ESHRE consensus group  took the effort to try to standardize the definition of POR, establishing the so called ESHRE Bologna criteria (Table 1).
Now, 6 years later, we ask ourselves, whether the Bologna criteria really brought POR patients out of the tunnel and into the light? In this review, we discuss the recent advances in iCOS for POR patients following the introduction of the ESHRE Bologna criteria. Moreover, we introduce the new POSEIDON classification of the “low prognosis patient” [10, 11], which was established with the primary objective of providing a more detailed stratification of expected low responders and to significantly reduce the heterogeneity seen in the Bologna POR population.
The ESHRE Bologna criteria were primarily established to define the POR population based on strict criteria. The underlying idea was that this would secure future prospective RCTs of a more homogenous group when comparing new treatment modalities for POR patients . Although the Bologna criteria was a crucial step towards defining POR, it became clear that even when using the Bologna criteria, the POR population remained heterogeneous primarily because the criteria did not adequately take the age-related impact on oocyte quality into consideration, which obviously significantly impacts success rates [12, 13]. Moreover, confusion existed between real poor ovarian response (poor ovarian reserve) and the cause of the poor response . While yet to be proven in intervention trials based on the pharmacogenomic approach, a patient with an FSHR or LHR polymorphism , or the presence of variant LH β  with a good ovarian reserve could end up being classified as a Bologna POR patient because the ovarian stimulation was inadequately performed. Finally, in the Bologna criteria no recommendations for clinical decision-making were given.
Unfortunately, these aspects negatively impacts the design of RCTs because the clinical handling – and outcome would differ for different Bologna POR groups [13, 17, 18]. Regarding the age-related effect on oocyte quality, the Bologna criteria were criticized for the arbitrary cut-off value of 40 years of age , which based on ROC-curve analyses, age related aneuploidy rates, and the prognosis of live birth should optimally have been set at 35–37 years of age to better discriminate the POR population [1, 20,21,22]. Despite this criticism, an updated report in 2014 did not significantly change the Bologna criteria .
In 2016 a group of reproductive endocrinologists and scientists gathered to further refine the definition of POR . As a result, the new POSEIDON (Patient-Oriented Strategies Encompassing Individualized Oocyte Number) classification was developed, providing a more detailed classification to reduce the heterogeneity of the Bologna criteria. In brief, according to the POSEIDON classification patients are sub-divided into four sub-groups based on quantitative and qualitative parameters, namely: (i) age (ii) antral follicle count and/or AMH (iii) ovarian response – if a previous stimulation was performed (Fig. 1). Hence, the expected poor responder patient according to the age of the patient is classified as either Poseidon Group 3 or 4.
One more oocyte matters
When considering the efficacy of iCOS, the introduction of the follicular output rate (FORT)  suggested a new measure of ovarian response to exogenous stimulation by assessing the ratio between the number of pre-ovulatory follicles obtained in response to gonadotropin administration and the pre-existing pool of small antral follicles. The FORT concept might even be taken a step further, including also the ratio between the final number of oocytes retrieved correlated to the antral follicle count (AFC) to measure successful ovarian response. As an example, a patient with a poor ovarian reserve who finally ends up with 70% of the antral follicles, resulting in retrieved oocytes has got a high FORT, and in reality, a good ovarian response to stimulation regardless of the total number of oocytes retrieved. In contrast, a patient with PCO like ovaries who ends up with less than 30% of her AFC resulting in retrieved oocytes should be considered as having a low FORT and a sub-optimal ovarian response, unless of course a suboptimal response was intended due to the risk of OHSS. In the majority of cases, a poor response in good reserve patients is caused by too low FSH dosing and the omission of LH activity supplementation in patients with the presence of LH β variant or LHR polymorphisms. Hence, FORT might be considered a quality marker of the iCOS strategy used . During recent years it has been suggested that the retrieval of one more oocyte increases the predicted LBR per cycle ; i.e. retrieving three instead of two oocytes increases the predicted LBR by approximately 25%, relatively, in all age groups. Interestingly, this relative increase in LBR was also reported comparing PORs (< 5 oocytes) with suboptimal responders (5–9 oocytes) in a large retrospective study based on national registry data from 2005 to 2012 in Switzerland .
In this aspect one might ask, how many oocytes are actually needed to achieve the highest live birth rate (LBR) in the fresh cycle as well as after accumulation of the fresh and frozen transfer cycles deriving from one stimulation cycle (i.e. cumulative LBR). This question was initially analyzed by Drakopoulos et al. (2016) in a retrospective cohort of 1099 consecutive patients undergoing their first ovarian stimulation with a planned single embryo transfer . The authors concluded that the low response patient with a mean age of 31 years (1–3 oocytes) had a significantly lower cumulative LBR (22%) compared to other sub-groups, including the suboptimal response patient (4–9 oocytes) in whom the cumulative LBR was 40% and the optimal response patient (10–15 oocytes) for whom the cumulative LBR was 51%. These findings were recently corroborated by Zhou et al. (2017) in patients aged 35–40 years . Again, the low response patient (1–4 oocytes) had the lowest cumulative LBR (37%) as compared to other sub-groups.
For the ageing patient, the most obvious reason for the decline in the cumulative LBR is the decrease in not only oocyte quantity, but also quality in terms of aneuploidy. Thus, whereas in the young woman (≤ 35 years) the euploidy rate of blastocysts is approximately 60%, it is as low as 30% in women between the age of 40–42 years, decreasing to 15% in women older than 42 years .
New evidence from basic science studies provide biologically plausible explanations for the age-related effects on aneuploidy rates which seem to be driven by impaired mitochondrial function, increased granulosa cell apoptosis, and increased levels of oxidative stress in germline cells .
The ART calculator: Estimating the number of oocytes needed to achieve at least one euploid blastocyst
As previously discussed, the continuous and inexorable age-related decrease in oocyte quantity and quality results in fewer euploid embryos for transfer. It is, therefore, anticipated that the expected POR patient (POSEIDON groups 3 and 4), particularly the ageing group (POSEIDON group 4) would achieve a lower live birth rate than younger counterparts with normal/high ovarian reserve .
The availability of at least one euploid embryo for transfer evidently changes the fate of the expected POR patient, as approximately 60% of euploid blastocysts implant across all age categories . Indeed, the higher the number of oocytes retrieved, the higher the probability of obtaining an embryo cohort that may include at least one euploid blastocyst . In practical terms, however, the retrieval of a large number of oocytes may not be feasible in the expected POR due to reduced ovarian reserve. Naturally, the question clinicians may ask is: what is the number of oocytes needed to achieve at least one euploid embryo in a given expected POR patient? This is an important issue as it represents a logical endpoint to guide clinicians develop an individualized treatment plan. In fact, the ‘ability to retrieve the number of oocytes needed to obtain at least one euploid embryo for transfer’ was proposed by the POSEIDON group as a new measure of success in ART [10, 11].
Clearly, the estimation mentioned above must take into account the critical variables, affecting the probability of achieving the desired outcome, including (i) the expected embryo euploidy rate per age group, (ii) blastulation rate, (iii) fertilization rate, (iv) and number of mature oocytes, as all of them are indispensable for calculating the number of oocytes required to achieve at least one euploid blastocyst. A rough calculation using the average of commonly reported laboratory key performance indicators (KPI) suggest that 4–7 oocytes are needed in a younger patient with expected POR, whereas at least 12 oocytes would be required in older counterparts. However, a meticulous evaluation of a Fertility Center’s database shows that fertilization and blastulation rates will be affected by sperm parameters such as source, and status (fresh or frozen-thawed) of gametes . Along the same lines, embryo euploid rates vary not only by female age, but possibly also with other confounders , thus making such estimations complicated and labor intensive.
In this aspect, a pretreatment prediction model – the ART Calculator - using age and other predictors has been developed to estimate the number of oocytes required to achieve at least one euploid blastocyst for transfer after an IVF/ICSI treatment. The model was constructed based on the results of the Lasso (least absolute shrinkage and selection operator) regression analysis, which was utilized for both variable selection and regularization to enhance the prediction accuracy and interpretability of the statistical model. The ‘ART Calculator’ is available online at http://www.groupposeidon.com/ and is fully aligned with the POSEIDON marker of successful outcome.
iCOS in expected poor responders (Poseidon groups 3 and 4)
As seen from Fig. 2, POSEIDON categorizes the expected POR patient into two groups, stratifying according to age and using a cut-off of 35 years, a total AFC < 5, and/or an AMH < 1.2 ng/ml.
When evaluating the evidence for clinical handling of the expected POR patient one has to distinguish between studies performed before and after the introduction of the Bologna criteria. Prior to the consensus as mentioned, multiple definitions of POR were used, introducing heterogeneity and subsequent poor clinical value of the reported results, in particular those of meta-analyses. As regards IVF/ICSI, Danhua et al. (2011) published a meta-analysis on non-Bologna criteria POR studies exploring the optimal GnRH analogue treatment. From this analysis, it was concluded that there was no statistically significant difference in clinical pregnancy rates comparing the long GnRHa down-regulation protocol with the GnRH antagonist protocol, although the trend favored the long GnRHa down-regulation protocol . Later, Sunkara et al. (2014) in Bologna POR patients reported that the long GnRH agonist protocol, albeit non-significantly, increased the number of mature oocytes by one oocyte compared to the GnRH antagonist protocol . Moreover the cancellation rate was significantly lower for the long protocol . The fact that the long GnRHa down-regulation protocol results in more oocytes as compared to the GnRH antagonist protocol is also commonly seen in expected normal responder patients. The reason is most certainly the follicular synchronization obtained after down-regulation, which for the expected POR is of utmost importance as these patients usually have increased late luteal FSH levels during their natural cycle, promoting early recruitment of the leading follicle. As one more oocyte increases the live birth rate by 5% [26, 27], the long GnRH agonist down-regulation protocol should be first line treatment for expected POR, unless a double stimulation  is planned for oocyte/embryo accumulation and subsequent frozen thaw embryo transfer.
Stimulation with gonadotropins
Current evidence supports a maximum daily dose of 300 IU of rFSH in the expected POR patient as higher doses do not increase neither the clinical pregnancy rate nor the live birth rate [38, 39]. Some authors previously raised concern that stimulation per se would increase embryonic aneuploidy rates, suggesting that natural cycle IVF might be an option for the POR patient . However, evidence from young oocyte donors does not support this concern . Moreover, natural cycle IVF results in extremely low live birth rates in the POR patient. Thus, Polyzos et al. (2012) reported a live birth rate per cycle of 2.6% and a cumulative live birth rate of only 7% after six natural IVF cycles in Bologna POR patients, and these low live birth rates after natural cycle IVF were subsequently corroborated by others [42, 43]. In contrast, one stimulated cycle, using a daily dose of 300 IU of rFSH in the Bologna POR patient resulted in a live birth rate of 11% . Thus, stimulation rather than natural cycle should be the preferred first line treatment.
Growth hormone (GH) has been investigated in clinical trials as a biologically plausible add-on due to stimulation of insulin-like growth factor 1 (IGF-1) which, in animal studies, has been shown to have synergistic effects with FSH on follicular development . A meta-analysis from 2010, based on four small studies with a total of 165 non-Bologna POR patients, found that the OR of live birth was 5.39 (95%CI, 1.89–15.35) in favor of GH compared to standard treatment . Meanwhile, in 2016, a relatively large RCT in Bologna criteria PORs investigated the effect of adding GH (7.5 IU) from stimulation day six demonstrating no significant effect on the reproductive outcome despite significantly more oocytes retrieved in the GH group (7.58, SD 1.40) compared to the control group (4.90, SD 1.78) . Although patients fulfilled the Bologna criteria at inclusion and inter-cycle variation could be blamed, the high mean number of oocytes retrieved in both groups questions the pre-stimulation ovarian reserve of the patients. In contrast, a recent retrospective analysis evaluating clinical management during 7 years of first fresh embryo transfer cycle in poor prognosis patients, i.e. patients with marked fragmentation (> 50%), implantation failure or Bologna POR, reported that GH supplementation initiated in the cycle preceding stimulation and oocyte retrieval increased the LBR although, the effect was more pronounced in the younger patient . Taken together, although physiological evidence supports a clinical application of GH in POR, the equivocal results and the relatively few and small RCTs conducted emphasize the need for further studies regarding the use of adjuvant GH.
Another adjuvant which has been considered for the expected POR patient is androgen pretreatment. The biological evidence from a primate model is that androgens induce FSH receptors on granulosa cells , which in turn increases the recruitability and growth of preantral and antral follicles, including the aforementioned IGF-1 system [49, 50]. In 2012, two independent meta-analyses reported a significant positive effect of transdermal testosterone on the LBR of POR patients [51, 52]. However, this evidence should be taken with caution as only a total of 82 patients and 113 patients were included in the intervention arm of the respective meta-analyses, which again included studies performed prior to the Bologna criteria. In another meta-analysis of four RCT’s and 2 observational studies including a total of 528 patients, Zhang et al. (2016) reported that long-term DHEA treatment, the precursor of testosterone, had a significant positive effect on the LBR of POR patients compared to controls (RR 1.87, 95%CI, 1.22–2.88) . Although scientific evidence seems to support the use of androgen pre-treatment in POR, a recent commentary argued that the androgen chapter needs further study before recommendations can be made . Especially, the dosage and the timing of pre-treatment needs to be further elucidated hence; this fact urged an international clinical research group to design the so-called T-TRANSPORT TRIAL for Bologna POR patients (Clinicaltrial.gov identifier NCT02418572), evaluating pre-treatment exceeding 60 days, and using a daily dose of 5.5 mg transdermal testosterone. This study which will include the largest sample size until now of Bologna POR patients uses androgen pre-treatment in a daily physiological dose and for an extended time compared to previous trials, taking the time needed for folliculogenesis into account.
The last adjuvant for POR considered in this review is LH-activity supplementation. The physiological rationale for LH supplementation is primarily based on the “two cell two gonadotropin” concept [55, 56], in which LH supplementation stimulates the conversion of cholesterol into androgens in the theca cell, thus, increasing endogenous intra-ovarian androgen production and follicular growth. On one hand, androgens (i) stimulate FSH receptor expression in granulosa cells  (ii) act synergistically with IGF1  and increase recruitability of pre-antral and antral follicles . On the other hand, LH binding to granulosa cell LH receptors –expressed on mid-follicular phase onwards- sustains FSH-dependent granulosa activities, including aromatase induction and growth factors release, and regulates final follicle/oocyte maturation .
To study the possible clinical effect of rLH supplementation Lehert et al., (2014) published a meta-analysis based on 6443 cycles in normal and POR patients (non-Bologna criteria) supplemented or not with rLH . While rLH supplementation improved clinical pregnancy rates by 9% (NS) in the overall population, the effect was more pronounced in PORs with RR of 1.30 (95% CI, 1.01–1.67). Recently Humaidan et al. (2017) published the results of the largest RCT in patients aligned with the Bologna criteria (ESPART trial). In this trial, a total of 939 patients were randomized to either a fixed daily dose of either 300 IU r-hFSH plus 150 IU r-hLH or r-hFSH 300 IU alone . The results indicated no significant differences between groups regarding LBR. However, a post-hoc analysis stratifying patients into mild, moderate or severe POR observed that the moderate and severe PORs significantly benefitted from rLH supplementation in terms of a higher LBR and a lower total pregnancy loss .
Current limitations in expected POR management
POR remains a phenotype with multiple underlying causes which future iCOS might target more adequately. In this review, we discussed recent advances in POR starting with classification and moving to current best practice iCOS, and the perspectives of adjuvants which might change the prognosis of PORs. The POSEIDON criteria take into account age as a proxy for the aneuploidy rate, as well as ovarian response if a previous stimulation was performed. Moreover, other causes of poor response in good ovarian reserve patients like polymorphisms of the FSRr and the LHr or the presence of variant LH β are covered by POSEIDON criteria. Thus, this new suggested classification of POR reduces the heterogeneity seen within the Bologna criteria, albeit POSEIDON classification still needs to be validated in clinical trials. At this point, however, the evidence for clinical management of expected POR is still limited and as discussed, few adjuvant treatments can be recommended outside institutional review board-approved research.
Future handling of the expected POR patient
On a more experimental basis the future handling of the expected POR patient might include intra-ovarian androgen “priming” as described in the normal ovarian reserve patient , in vitro follicle activation as described for the POI patient , autologous mitochondrial transfer to improve the implantation potential and quality of the embryo , pharmacogenomics, taking the genome of the patient into consideration when designing drugs and planning a treatment; finally, and probably the most promising future treatment is the development of oocytes from stem cells of the patient .
Until 2011 there was no clear definition of POR leading to a high degree of confusion. However, with the introduction of the Bologna criteria it became apparent that even this classification model described a very heterogenous group of patients with highly different success rates after ART. This lead to the recent development of the suggested POSEIDON criteria for POR, stratifying patients into more homogenous sub-groups, and importantly, giving recommendations for clinical handling. Treatment of the expected POR patient demands an individualized approach including all steps of ART, including the choice of GnRH analogue, gonadotropin type and dose, ovulation trigger, and the possible use of adjuvant therapies. Although, handling the expected POR patient still remains a therapeutic challenge, future perspectives suggest that there might be “light at the end of the tunnel”.
Antral follicle count
Assisted reproductive technology
European society of Human reproduction and embryology
Follicle output rate
Individualized controlled ovarian stimulation
Poor ovarian response
Patient oriented strategies encompassing individualized oocyte number
Randomized controlled trials
Receiver operating characteristic
Malchau SS, Henningsen AA, Loft A, Rasmussen S, Forman J, Nyboe Andersen A, et al. The long-term prognosis for live birth in couples initiating fertility treatments. Hum Reprod Oxf Engl. 2017;32:1439–49.
Macklon NS, Stouffer RL, Giudice LC, Fauser BCJM. The science behind 25 years of ovarian stimulation for in vitro fertilization. Endocr Rev. 2006;27:170–207.
Nyboe Andersen A, Nelson SM, Fauser BCJM, García-Velasco JA, Klein BM, Arce J-C, et al. Individualized versus conventional ovarian stimulation for in vitro fertilization: a multicenter, randomized, controlled, assessor-blinded, phase 3 noninferiority trial. Fertil Steril. 2017;107:387–396.e4.
Allegra A, Marino A, Volpes A, Coffaro F, Scaglione P, Gullo S, et al. A randomized controlled trial investigating the use of a predictive nomogram for the selection of the FSH starting dose in IVF/ICSI cycles. Reprod BioMed Online. 2017;34:429–38.
La Marca A, Sunkara SK. Individualization of controlled ovarian stimulation in IVF using ovarian reserve markers: from theory to practice. Hum Reprod Update. 2014;20:124–40.
Haahr T, Roque M, Esteves SC, Humaidan P. GnRH agonist trigger and LH activity luteal phase support versus hCG trigger and conventional luteal phase support in fresh embryo transfer IVF/ICSI cycles-a systematic PRISMA review and meta-analysis. Front Endocrinol. 2017;8:116.
Borges E, Braga DPAF, Setti AS, Vingris LS, Figueira RCS, Iaconelli A. Strategies for the management of OHSS: results from freezing-all cycles. JBRA Assist Reprod. 2016;20:8–12.
Polyzos NP, Devroey P. A systematic review of randomized trials for the treatment of poor ovarian responders: is there any light at the end of the tunnel? Fertil Steril. 2011;96:1058–1061.e7.
Ferraretti AP, La Marca A, Fauser BCJM, Tarlatzis B, Nargund G, Gianaroli L, et al. ESHRE consensus on the definition of “poor response” to ovarian stimulation for in vitro fertilization: the bologna criteria. Hum Reprod Oxf Engl. 2011;26:1616–24.
Humaidan P, Alviggi C, Fischer R, Esteves SC. The novel POSEIDON stratification of “low prognosis patients in assisted reproductive technology” and its proposed marker of successful outcome. F1000Res. 2016;5:2911.
Alviggi C, Andersen CY, Buehler K, Conforti A, De Placido G, Esteves SC, et al. A new more detailed stratification of low responders to ovarian stimulation: from a poor ovarian response to a low prognosis concept. Fertil Steril. 2016;105:1452.
Younis JS, Ben-Ami M, Ben-Shlomo I. The bologna criteria for poor ovarian response: a contemporary critical appraisal. J Ovarian Res. 2015;8:76.
Bozdag G, Polat M, Yarali I, Yarali H. Live birth rates in various subgroups of poor ovarian responders fulfilling the bologna criteria. Reprod BioMed Online. 2017;34:639–44.
Younis JS. The bologna criteria for poor ovarian response; has the job been accomplished? Hum Reprod Oxf Engl. 2012;27:1874–5. author reply 1875-1876
Simoni M, Santi D, Negri L, Hoffmann I, Muratori M, Baldi E, et al. Treatment with human, recombinant FSH improves sperm DNA fragmentation in idiopathic infertile men depending on the FSH receptor polymorphism p.N680S: a pharmacogenetic study. Hum Reprod Oxf Engl. 2016;31:1960–9.
Alviggi C, Pettersson K, Longobardi S, Andersen CY, Conforti A, De Rosa P, et al. A common polymorphic allele of the LH beta-subunit gene is associated with higher exogenous FSH consumption during controlled ovarian stimulation for assisted reproductive technology. Reprod Biol Endocrinol RBE. 2013;11:51.
Papathanasiou A. Implementing the ESHRE “poor responder” criteria in research studies: methodological implications. Hum Reprod Oxf Engl. 2014;29:1835–8.
Humaidan P, Chin W, Rogoff D, D’Hooghe T, Longobardi S, Hubbard J, et al. Efficacy and safety of follitropin alfa/lutropin alfa in ART: a randomized controlled trial in poor ovarian responders. Hum Reprod Oxf Engl. 2017;32:544–55.
Sallam HN, Ezzeldin F, Agameya A-F, Abdel-Rahman AF, El-Garem Y. The definition of “poor response”: bologna criteria. Hum Reprod Oxf Engl. 2012;27:626–7. author reply 627-628
Al-Azemi M, Killick SR, Duffy S, Pye C, Refaat B, Hill N, et al. Multi-marker assessment of ovarian reserve predicts oocyte yield after ovulation induction. Hum Reprod Oxf Engl. 2011;26:414–22.
Ata B, Kaplan B, Danzer H, Glassner M, Opsahl M, Tan SL, et al. Array CGH analysis shows that aneuploidy is not related to the number of embryos generated. Reprod BioMed Online. 2012;24:614–20.
Haadsma ML, Groen H, Mooij TM, Burger CW, Broekmans FJ, Lambalk CB, et al. Miscarriage risk for IVF pregnancies in poor responders to ovarian hyperstimulation. Reprod BioMed Online. 2010;20:191–200.
Ferraretti AP, Gianaroli L. The bologna criteria for the definition of poor ovarian responders: is there a need for revision? Hum Reprod Oxf Engl. 2014;29:1842–5.
Gallot V, Berwanger da Silva AL, Genro V, Grynberg M, Frydman N, Fanchin R. Antral follicle responsiveness to follicle-stimulating hormone administration assessed by the follicular output RaTe (FORT) may predict in vitro fertilization-embryo transfer outcome. Hum Reprod Oxf Engl. 2012;27:1066–72.
Hassan A, Kotb M, AwadAllah A, Wahba A, Shehata N. Follicular output rate can predict clinical pregnancy in women with unexplained infertility undergoing IVF/ICSI: a prospective cohort study. Reprod BioMed Online. 2017;34:598–604.
Sunkara SK, Rittenberg V, Raine-Fenning N, Bhattacharya S, Zamora J, Coomarasamy A. Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles. Hum Reprod Oxf Engl. 2011;26:1768–74.
De Geyter C, Fehr P, Moffat R, Gruber IM, von Wolff M. Twenty years’ experience with the Swiss data registry for assisted reproductive medicine: outcomes, key trends and recommendations for improved practice. Swiss Med Wkly. 2015;145:w14087.
Drakopoulos P, Blockeel C, Stoop D, Camus M, de Vos M, Tournaye H, et al. Conventional ovarian stimulation and single embryo transfer for IVF/ICSI. How many oocytes do we need to maximize cumulative live birth rates after utilization of all fresh and frozen embryos? Hum Reprod Oxf Engl. 2016;31:370–6.
Zhou J, Wang B, Hu Y, Sun H. Association between the number of oocytes retrieved and cumulative live birth rate in women aged 35-40 years undergoing long GnRH agonist IVF/ICSI cycles. Arch Gynecol Obstet. 2017;296:1005–12.
Ben-Meir A, Burstein E, Borrego-Alvarez A, Chong J, Wong E, Yavorska T, et al. Coenzyme Q10 restores oocyte mitochondrial function and fertility during reproductive aging. Aging Cell. 2015;14:887–95.
Smith ADAC, Tilling K, Nelson SM, Lawlor DA. Live-birth rate associated with repeat in vitro fertilization treatment cycles. JAMA. 2015;314:2654–62.
Forman EJ, Hong KH, Ferry KM, Tao X, Taylor D, Levy B, et al. In vitro fertilization with single euploid blastocyst transfer: a randomized controlled trial. Fertil Steril. 2013;100:100–107.e1.
Mazzilli R, Cimadomo D, Vaiarelli A, Capalbo A, Dovere L, Alviggi E, et al. Effect of the male factor on the clinical outcome of intracytoplasmic sperm injection combined with preimplantation aneuploidy testing: observational longitudinal cohort study of 1,219 consecutive cycles. Fertil Steril. 2017;108:961–972.e3.
La Marca A, Minasi MG, Sighinolfi G, Greco P, Argento C, Grisendi V, et al. Female age, serum antimüllerian hormone level, and number of oocytes affect the rate and number of euploid blastocysts in in vitro fertilization/intracytoplasmic sperm injection cycles. Fertil Steril. 2017;108:777–783.e2.
Pu D, Wu J, Liu J. Comparisons of GnRH antagonist versus GnRH agonist protocol in poor ovarian responders undergoing IVF. Hum Reprod Oxf Engl. 2011;26:2742–9.
Sunkara SK, Coomarasamy A, Faris R, Braude P, Khalaf Y. Long gonadotropin-releasing hormone agonist versus short agonist versus antagonist regimens in poor responders undergoing in vitro fertilization: a randomized controlled trial. Fertil Steril. 2014;101:147–53.
Ubaldi FM, Capalbo A, Vaiarelli A, Cimadomo D, Colamaria S, Alviggi C, et al. Follicular versus luteal phase ovarian stimulation during the same menstrual cycle (DuoStim) in a reduced ovarian reserve population results in a similar euploid blastocyst formation rate: new insight in ovarian reserve exploitation. Fertil Steril. 2016;105:1488–1495.e1.
Berkkanoglu M, Ozgur K. What is the optimum maximal gonadotropin dosage used in microdose flare-up cycles in poor responders? Fertil Steril. 2010;94:662–5.
Baker VL, Brown MB, Luke B, Smith GW, Ireland JJ. Gonadotropin dose is negatively correlated with live birth rate: analysis of more than 650,000 assisted reproductive technology cycles. Fertil Steril. 2015;104:1145–1152.e1-5.
Baart EB, Martini E, Eijkemans MJ, Van Opstal D, Beckers NG, Verhoeff A, et al. Milder ovarian stimulation for in-vitro fertilization reduces aneuploidy in the human preimplantation embryo: a randomized controlled trial. Hum Reprod Oxf Engl. 2007;22:980–8.
Labarta E, Bosch E, Alamá P, Rubio C, Rodrigo L, Pellicer A. Moderate ovarian stimulation does not increase the incidence of human embryo chromosomal abnormalities in in vitro fertilization cycles. J Clin Endocrinol Metab. 2012;97:E1987–94.
Polyzos NP, Blockeel C, Verpoest W, De Vos M, Stoop D, Vloeberghs V, et al. Live birth rates following natural cycle IVF in women with poor ovarian response according to the bologna criteria. Hum Reprod Oxf Engl. 2012;27:3481–6.
Kedem A, Tsur A, Haas J, Yerushalmi GM, Hourvitz A, Machtinger R, et al. Is the modified natural in vitro fertilization cycle justified in patients with “genuine” poor response to controlled ovarian hyperstimulation? Fertil Steril. 2014;101:1624–8.
Yoshimura Y, Iwashita M, Karube M, Oda T, Akiba M, Shiokawa S, et al. Growth hormone stimulates follicular development by stimulating ovarian production of insulin-like growth factor-I. Endocrinology. 1994;135:887–94.
Duffy JM, Ahmad G, Mohiyiddeen L, Nardo LG, Watson A. Growth hormone for in vitro fertilization. Cochrane Database Syst Rev. 2010;20:CD000099.
Bassiouny YA, Dakhly DMR, Bayoumi YA, Hashish NM. Does the addition of growth hormone to the in vitro fertilization/intracytoplasmic sperm injection antagonist protocol improve outcomes in poor responders? A randomized, controlled trial. Fertil Steril. 2016;105:697–702.
Keane KN, Yovich JL, Hamidi A, Hinchliffe PM, Dhaliwal SS. Single-Centre retrospective analysis of growth hormone supplementation in IVF patients classified as poor-prognosis. BMJ Open. 2017;7:e018107.
Weil S, Vendola K, Zhou J, Bondy CA. Androgen and follicle-stimulating hormone interactions in primate ovarian follicle development. J Clin Endocrinol Metab. 1999;84:2951–6.
Vendola KA, Zhou J, Adesanya OO, Weil SJ, Bondy CA. Androgens stimulate early stages of follicular growth in the primate ovary. J Clin Invest. 1998;101:2622–9.
Vendola K, Zhou J, Wang J, Famuyiwa OA, Bievre M, Bondy CA. Androgens promote oocyte insulin-like growth factor I expression and initiation of follicle development in the primate ovary. Biol Reprod. 1999;61:353–7.
Bosdou JK, Venetis CA, Kolibianakis EM, Toulis KA, Goulis DG, Zepiridis L, et al. The use of androgens or androgen-modulating agents in poor responders undergoing in vitro fertilization: a systematic review and meta-analysis. Hum Reprod Update. 2012;18:127–45.
González-Comadran M, Durán M, Solà I, Fábregues F, Carreras R, Checa MA. Effects of transdermal testosterone in poor responders undergoing IVF: systematic review and meta-analysis. Reprod BioMed Online. 2012;25:450–9.
Zhang M, Niu W, Wang Y, Xu J, Bao X, Wang L, et al. Dehydroepiandrosterone treatment in women with poor ovarian response undergoing IVF or ICSI: a systematic review and meta-analysis. J Assist Reprod Genet. 2016;33:981–91.
Polyzos NP, Davis SR, Drakopoulos P, Humaidan P, De Geyter C, Vega AG, et al. Testosterone for poor ovarian responders: lessons from ovarian physiology. Reprod Sci Thousand Oaks Calif. 2016; https://doi.org/10.1177/1933719116660849.
Fevold HL. Synergism of the follicle stimulating and luteinizing hormones in producing estrogen secretion. Endocrinology. 1941;28:33–6.
Greep RO, Van Dyke HB, Chow BF. Gonadotropins of the swine pituitary: I. Various biological effects of purified thylakentrin (fsh) and pure metakentrin (icsh). Endocrinology. 1942;30:635–49.
Vendola K, Zhou J, Wang J, Bondy CA. Androgens promote insulin-like growth factor-I and insulin-like growth factor-I receptor gene expression in the primate ovary. Hum Reprod Oxf Engl. 1999;14:2328–32.
Weil SJ, Vendola K, Zhou J, Adesanya OO, Wang J, Okafor J, et al. Androgen receptor gene expression in the primate ovary: cellular localization, regulation, and functional correlations. J Clin Endocrinol Metab. 1998;83:2479–85.
Park J-Y, Su Y-Q, Ariga M, Law E, Jin S-LC, Conti M. EGF-like growth factors as mediators of LH action in the ovulatory follicle. Science. 2004;303:682–4.
Lehert P, Kolibianakis EM, Venetis CA, Schertz J, Saunders H, Arriagada P, et al. Recombinant human follicle-stimulating hormone (r-hFSH) plus recombinant luteinizing hormone versus r-hFSH alone for ovarian stimulation during assisted reproductive technology: systematic review and meta-analysis. Reprod Biol Endocrinol RBE. 2014;12:17.
Lossl K, Andersen CY, Loft A, Freiesleben NL, Bangsbøll S, Andersen AN. Short-term androgen priming by use of aromatase inhibitor and hCG before controlled ovarian stimulation for IVF. A randomized controlled trial. Hum Reprod Oxf Engl. 2008;23:1820–9.
Zhai J, Yao G, Dong F, Bu Z, Cheng Y, Sato Y, et al. In vitro activation of follicles and fresh tissue auto-transplantation in primary ovarian insufficiency patients. J Clin Endocrinol Metab. 2016;101:4405–12.
Oktay K, Baltaci V, Sonmezer M, Turan V, Unsal E, Baltaci A, et al. Oogonial precursor cell-derived autologous mitochondria injection to improve outcomes in women with multiple IVF failures due to low oocyte quality: a clinical translation. Reprod Sci Thousand Oaks Calif. 2015;22:1612–7.
Morohaku K, Tanimoto R, Sasaki K, Kawahara-Miki R, Kono T, Hayashi K, et al. Complete in vitro generation of fertile oocytes from mouse primordial germ cells. Proc Natl Acad Sci U S A. 2016;113:9021–6.
No funding was obtained to conduct this review.
Availability of data and materials
Ethics approval and consent to participate
Consent for publication
PH and SE are co-founders and members of the POSEIDON group. TH reports no competing interests. TH and PH contributed equally to the manuscript. All authors accepted the final manuscript.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Haahr, T., Esteves, S.C. & Humaidan, P. Individualized controlled ovarian stimulation in expected poor-responders: an update. Reprod Biol Endocrinol 16, 20 (2018). https://doi.org/10.1186/s12958-018-0342-1
- Poor ovarian response
- Bologna criteria
- Poseidon classification
- ART calculator
- Controlled ovarian stimulation
- Adjuvant therapy