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Human Reproduction, pp. 110, 2016 doi:10.1093/humrep/dew183 ORIGINAL ARTICLE Embryology Correlation between aneuploidy, standard morphology evaluation and morphokinetic development in 1730 biopsied blastocysts: a consecutive case series study Maria Giulia Minasi 1, * , Alessandro Colasante 1 , Teresa Riccio 1 , Alessandra Ruberti 1 , Valentina Casciani 1 , Filomena Scarselli 1 , Francesca Spinella 2 , Francesco Fiorentino 2 , Maria Teresa Varricchio 1 , and Ermanno Greco 1 1 Centre for Reproductive Medicine, European Hospital, Via Portuense 700, Rome 00149, Italy 2 Molecular Genetics Laboratory, GENOMA, Via di Castel Giubileo 11, Rome 00138, Italy *Correspondence address. Centre for Reproductive Medicine, European Hospital, Via Portuense 700, Rome 00149, Italy. Tel: +39-06-65975659; Fax: +39-06-6534897; E-mail: [email protected] Submitted on March 10, 2016; resubmitted on May 31, 2016; accepted on June 24, 2016 STUDY QUESTION: Are there correlations among human blastocyst ploidy status, standard morphology evaluation and time-lapse kinetics? SUMMARY ANSWER: Correlations were observed, in that euploid human blastocysts showed a higher percentage with top quality inner cell mass (ICM) and trophectoderm (TE), higher expansion grades and shorter time to start of blastulation, expansion and hatching, com- pared to aneuploid ones. WHAT IS KNOWN ALREADY: Embryo quality has always been considered an important predictor of successful implantation and preg- nancy. Nevertheless, knowledge of the relative impact of each morphological parameter at the blastocyst stage needs to be increased. Recently, with the introduction of time-lapse technology, morphokinetic parameters can also be evaluated. However, a large number of stud- ies has reported conicting outcomes. STUDY DESIGN, SIZE, DURATION: This was a consecutive case series study. The morphology of 1730 blastocysts obtained in 530 PGS cycles performed from September 2012 to April 2014 that underwent TE biopsy and array comparative genomic hybridization was analyzed retrospectively. A total of 928 blastocysts were cultured in a time-lapse incubator allowing morphokinetic parameters to be analyzed. PARTCIPANTS/MATERIALS, SETTING, METHOD: Mean female age was 36.8 ± 4.24 years. Four hunderd fty-four couples were enrolled in the study: 384, 64 and 6 of them performed single, double or triple PGS cycles, respectively. In standard morphology evalu- ation, the expansion grade, and quality of the ICM and TE were analyzed. The morphokinetic parameters observed were second polar body extrusion, appearance of two pronuclei, pronuclear fading, onset of two- to eight-cell divisions, time between the two- and three- cell (cc2) and three- and four-cell (s2) stages, morulae formation time, starting blastulation, full blastocyst stage, expansion and hatching timing. MAIN RESULTS AND THE ROLE OF CHANCE: Of the 1730 biopsied blastocysts, 603 were euploid and 1127 aneuploid. We observed that 47.2% of euploid and 32.8% of aneuploid blastocysts showed top quality ICM (P < 0.001), and 17.1% of euploid and 28.5% of aneuploid blastocysts showed poor quality ICM (P < 0.001). Top quality TE was present in 46.5% of euploid and 31.1% of aneuploid blasto- cysts (P < 0.001), while 26.6% of euploid and 38.1% of aneuploid blastocysts showed poor quality TE (P < 0.001). Regarding expansion grade, © The Author 2016. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: [email protected] Hum. Reprod. Advance Access published September 2, 2016 by guest on September 2, 2016 http://humrep.oxfordjournals.org/ Downloaded from
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Page 1: Correlation between aneuploidy, case series study · The main limitation of the time-lapse technology is that it is impossible to rotate the embryos making it very difficult to observe

Human Reproduction, pp. 1–10, 2016

doi:10.1093/humrep/dew183

ORIGINAL ARTICLE Embryology

Correlation between aneuploidy,standard morphology evaluation andmorphokinetic development in 1730biopsied blastocysts: a consecutivecase series studyMaria Giulia Minasi1,*, Alessandro Colasante 1, Teresa Riccio1,Alessandra Ruberti1, Valentina Casciani1, Filomena Scarselli1,Francesca Spinella2, Francesco Fiorentino2, Maria Teresa Varricchio1,and Ermanno Greco11Centre for Reproductive Medicine, European Hospital, Via Portuense 700, Rome 00149, Italy 2Molecular Genetics Laboratory,“GENOMA”, Via di Castel Giubileo 11, Rome 00138, Italy

*Correspondence address. Centre for Reproductive Medicine, European Hospital, Via Portuense 700, Rome 00149, Italy.Tel: +39-06-65975659; Fax: +39-06-6534897; E-mail: [email protected]

Submitted on March 10, 2016; resubmitted on May 31, 2016; accepted on June 24, 2016

STUDY QUESTION: Are there correlations among human blastocyst ploidy status, standard morphology evaluation and time-lapsekinetics?

SUMMARY ANSWER: Correlations were observed, in that euploid human blastocysts showed a higher percentage with top quality innercell mass (ICM) and trophectoderm (TE), higher expansion grades and shorter time to start of blastulation, expansion and hatching, com-pared to aneuploid ones.

WHAT IS KNOWN ALREADY: Embryo quality has always been considered an important predictor of successful implantation and preg-nancy. Nevertheless, knowledge of the relative impact of each morphological parameter at the blastocyst stage needs to be increased.Recently, with the introduction of time-lapse technology, morphokinetic parameters can also be evaluated. However, a large number of stud-ies has reported conflicting outcomes.

STUDY DESIGN, SIZE, DURATION: This was a consecutive case series study. The morphology of 1730 blastocysts obtained in530 PGS cycles performed from September 2012 to April 2014 that underwent TE biopsy and array comparative genomic hybridizationwas analyzed retrospectively. A total of 928 blastocysts were cultured in a time-lapse incubator allowing morphokinetic parameters to beanalyzed.

PARTCIPANTS/MATERIALS, SETTING, METHOD: Mean female age was 36.8 ± 4.24 years. Four hunderd fifty-four couples wereenrolled in the study: 384, 64 and 6 of them performed single, double or triple PGS cycles, respectively. In standard morphology evalu-ation, the expansion grade, and quality of the ICM and TE were analyzed. The morphokinetic parameters observed were second polarbody extrusion, appearance of two pronuclei, pronuclear fading, onset of two- to eight-cell divisions, time between the two- and three-cell (cc2) and three- and four-cell (s2) stages, morulae formation time, starting blastulation, full blastocyst stage, expansion and hatchingtiming.

MAIN RESULTS AND THE ROLE OF CHANCE: Of the 1730 biopsied blastocysts, 603 were euploid and 1127 aneuploid. Weobserved that 47.2% of euploid and 32.8% of aneuploid blastocysts showed top quality ICM (P < 0.001), and 17.1% of euploid and 28.5% ofaneuploid blastocysts showed poor quality ICM (P < 0.001). Top quality TE was present in 46.5% of euploid and 31.1% of aneuploid blasto-cysts (P < 0.001), while 26.6% of euploid and 38.1% of aneuploid blastocysts showed poor quality TE (P < 0.001). Regarding expansion grade,

© The Author 2016. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved.For Permissions, please email: [email protected]

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rep.oxfordjournals.org/D

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81.1% of euploid and 72.4% of aneuploid blastocysts were fully expanded (Grade 5–6; P < 0.001). The timing of cleavage from the three- tofour-cell stage, of reaching four-cell stage, of starting blastulation, reaching full blastocyst stage, blastocyst expansion and hatching were 2.6(95% confidence interval (CI): 1.7–3.5), 40.0 (95% CI: 39.3–40.6), 103.4 (95% CI: 102.2–104.6), 110.2 (95% CI: 108.8–111.5), 118.7 (95%CI: 117.0–120.5) and 133.2 (95% CI: 131.2–135.2) hours in euploid blastocysts, and 4.2 (95% CI: 3.6–4.8), 41.1 (95% CI: 40.6–41.6), 105.0(95% CI: 104.0–106.0), 112.8 (95% CI: 111.7–113.9), 122.1 (95% CI: 120.7–123.4) and 137.4 (95% CI: 135.7–139.1) hours in aneuploidblastocysts (P < 0.05 for early and P < 0.0001 for later stages of development), respectively. No statistically significant differences were foundbetween euploid and aneuploid blastocysts for the remaining morphokinetic parameters.A total of 407 embryo transfers were performed (155 fresh, 252 frozen–thawed blastocysts). Higher clinical pregnancy, implantation and

live birth rates were obtained in frozen–thawed compared to fresh embryo transfers (P = 0.0104, 0.0091 and 0.0148, respectively). The mis-carriage rate was 16.1% and 19.6% in cryopreserved and fresh embryo transfer, respectively. The mean female age was lower in the euploidcompared to aneuploid groups (35.0 ± 3.78 versus 36.7 ± 4.13 years, respectively), We found an increasing probability for aneuploidy withfemale age of 10% per year (odds ratio (OR) = 1.1, 95% CI: 1.1–1.2, P < 0.001).

LIMITATIONS, REASONS FOR CAUTION: The main limitation of morphology assessment is that it is a static system and can beoperator-dependent. In this study, eight embryologists performed morphology assessments. The main limitation of the time-lapse technologyis that it is impossible to rotate the embryos making it very difficult to observe them in case of blastomere overlapping or increased cytoplas-mic fragmentation.

WIDER IMPLICATIONS OF THE FINDINGS: Although there seems to be a relationship between the ploidy status and blastocystmorphology/development dynamics, the evaluation of morphological and morphokinetic parameters cannot currently be improved upon,and therefore replace, PGS. Our results on ongoing pregnancy and miscarriage rates suggest that embryo evaluation by PGS or time-lapseimaging may not improve IVF outcome. However, time-lapse monitoring could be used in conjunction with PGS to choose, within a cohort,the blastocysts to analyze or, when more than one euploid blastocyst is available, to select which one should be transferred.

STUDY FUNDING/COMPETING INTEREST(S): No specific funding was obtained for this study. None of the authors have any com-peting interests to declare.

Key words: time-lapse / embryo morphology / blastocyst biopsy / PGS / morphokinetic / aneuploidy / fresh embryo transfer / cryopre-served embryo transfer

IntroductionThe primary goal in ART is to identify the embryo with a high implant-ation potential, in order to achieve a single healthy live birth. Embryoquality has always been considered an important predictor of success-ful implantation and pregnancy. Historically, standard morphologicalevaluation has been the most widespread approach for embryo selec-tion, and it is still the main strategy applied (Gardner and Schoolcraft,1999; Gardner and Sakkas, 2003). However, knowledge of the relativeimpact of each morphological parameter needs to be increased, andthis evaluation method has some limitations. First, despite the recentcollaborative study between the ESHRE and Alpha Scientists inReproductive Medicine societies with the aim to establish common cri-teria and terminology for grading oocytes, zygotes and embryos(ALPHA and ESHRE, 2011a,b), it remains a very subjective assessmentstrategy. Second, static embryo evaluations are performed at only afew time points (perhaps established more on convenience than on arationale), taking no notice of what happens when the embryos arenot checked (Meseguer et al., 2011; Cruz et al., 2012). Third, embryomorphology can vary widely just in a few hours, introducing high vari-ability in embryo scoring (Gardner et al., 2015).Recently, time-lapse monitoring has been introduced as a non-

invasive strategy for embryo selection. This technology, integrating fre-quent image capture with undisturbed culture conditions, permits amore accurate embryo morphological evaluation combined withdevelopmental kinetic analysis. Despite the high number of recent

studies, conflicting data are reported, and there is still considerable dis-agreement regarding which parameters are useful to predict blastocystformation, implantation potential and ploidy status of the embryos(Kaser and Racowsky, 2014; Gardner et al., 2015). In addition, it hasbeen reported that morphokinetics can be influenced by other factors,such as culture media (Ciray et al., 2012), stimulation protocols(Muñoz et al., 2013), insemination method (Lemmen et al., 2008; DalCanto et al., 2012), obesity (Bellver et al., 2013), smoking (Fréouret al., 2013) and oxygen tension (Kirkegaard et al., 2013a). Therefore,it is likely that models developed employing time-lapse technologymay not be directly applied across different infertility centers, but localadjustments should be performed according to their own protocolsand procedures (Campbell et al., 2013a; Kirkegaard et al., 2014;Fréour et al., 2015). The first attempt to develop a time-lapse hier-archical model in order to classify the embryos on the basis of theirimplantation potential was introduced by Meseguer and collaborators(2011). Their model was based on a combination of morphologicalscreening, absence of exclusion criteria, the timing of division to fivecells, synchrony of division from two to four cells and duration of thesecond cell cycle. This classification produced 10 categories ofembryos with increasing implantation potential. In a subsequent retro-spective study (Fréour et al., 2015), this model failed when applied inan unselected population of patients, being unable to replicate the sen-sitivity reported in the original publication. More recently, anothermorphokinetic noninvasive prediction model has been proposed,based on the time of starting blastulation and the time when the full

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blastocyst stage was reached, in order to select blastocysts with high,medium or low risk of being aneuploid (Campbell et al., 2013a,b).Subsequently, two groups tried to apply the same criteria to their mor-phokinetic data, but no significant difference in the proportion ofeuploid or aneuploid embryos was found in any of the three classes ofrisk (Kramer et al., 2014; Rienzi et al., 2015).PGD is an invasive method of embryo selection. Initially it was

used in fertile patients with a risk of transmitting genetically inheritablesex-linked monogenic diseases to their offspring (Handyside et al.,1990). Later, after the introduction of different techniques allowingcomprehensive chromosomal screening for analyzing all 24 chromo-somes, PGD was applied to investigate the genetic status of theembryos (PGS) obtained from infertile patients (Greco et al., 2013). Itwas hypothesized that this approach could lead to improved clinicaloutcomes especially in some categories of patients, such as womenwith advanced maternal age, recurrent implantation failure or recur-rent miscarriage (Kahraman et al., 2000; Rubio et al., 2003; Grecoet al., 2014). Moreover, due to the advancement of highly sophisti-cated culture and cryopreservation techniques, it has been observedthat performing the biopsy at the blastocyst stage was more conveni-ent that at cleavage stage, producing higher ongoing and clinical preg-nancy rates (Hodes-Wertz et al., 2012; Harton et al., 2013; Scottet al., 2013a; Adler et al., 2014; Minasi and Greco, 2014).The aim of our study was to evaluate possible relationships among

blastocyst ploidy status, standard morphology and time-lapse morpho-kinetics in PGS with array comparative genomic hybridization (aCGH)cycles.

Material and MethodsIn this consecutive case series study, the morphology of 1730 blastocysts,obtained in 530 PGS cycles performed in 454 infertile couples (384, 64 and6 of them performed single, double or triple PGS cycles, respectively) fromSeptember 2012 to April 2014, with trophectoderm (TE) biopsy andaCGH, were retrospectively analyzed. Of these, 802 were cultured in stand-ard incubators (Multigas incubator; Sanyo, Panasonic Biomedical, theNetherlands), ensuring that a single incubator was used for each patient cou-ple for the duration of the cycle, and 928 blastocysts were cultured in time-lapse incubators (EmbryoScope; UnisenseFertiliTech, Denmark), allowingalso the morphokinetic parameters to be analyzed. All the blastocystsenrolled in this study were individually cultured under oil, in sequential media(Quinn’s Advantage Medium; SAGE, USA), at 37°C, 5% O2, 6% CO2. OnDay 3, a media changeover was performed (Minasi et al., 2015). Blastocystshaving an exact number of chromosomes (46XX or 46XY) were consideredeuploid. Blastocysts having monosomy and/or trisomy were consideredaneuploid. Mosaic embryos were excluded from the study.

Ovarian stimulation, oocyte denudationand inseminationControlled ovarian stimulation was performed using recombinant FSH(Gonal F; Merck Serono, Geneva, Switzerland) and a GnRH agonist sup-pression protocol (short or long) or GnRH antagonist flexible protocolaccording to ovarian reserve and anti-Mullerian hormone values, asdescribed elsewhere (Greco et al., 2007, 2014). Triggering was performedby injection of hCG (Gonasi, 10.000 IU; IBSA, Lodi, Italy) intramuscularly.Denudation was performed by brief exposure to 20 IU/ml hyaluronidase(Hyaluronidase 80 U/ml in HEPES-HTF; SAGE) in Hepes-buffered medium(Quinn’s Advantage Medium with Hepes; SAGE) under oil. Subsequently,

oocytes were gently aspirated in and out of a plastic pipette (Flexipet, 170and 140 µm i.d.; COOK, Australia) to allow the complete removal ofcumulus and corona cells. All metaphase II embryos underwent ICSI imme-diately after denudation.

Morphological and morphokinetic evaluationEmbryo morphology was checked daily using the scoring system reportedby Rienzi and collegues (1998). Briefly, the embryos were classified on thebasis of blastomere number, symmetry and fragmentation. Type Aembryos showed ≥7 cells on Day 3, ≤20% fragmentation and equal-sizedblastomeres; Type B and C embryos showed 20–50% and >50% of frag-mentation, respectively. Blastocysts were classified according to Gardnerand Schoolcraft (1999), giving a number based on the degree of expansionand hatching status (from 1 to 6). Due to the subjectivity to discern amongsix levels of expansion, the blastocysts enrolled in this study were dividedin three groups: 1–2, 3–4 and 5–6 of expansion degree. For fully developedblastocysts (Grades 3–6), a second scoring step was performed to assessthe inner cell mass (ICM) and TE quality. For the ICM, Grades A, B or Ccorresponded to many cells tightly packed, several cells loosely groupedand very few cells, respectively. For the TE, Grades A, B or C, corre-sponded to many cells forming a cohesive epithelium, few cells forming aloose epithelium and very few large cells, respectively (Fig. 1). A retro-spective analysis of the acquired images of each blastocyst was made withan external computer workstation (EmbryoViewer; UnisenseFertiliTech)annotating the timing of the events in hours, from the time of inseminationthroughout the whole culture period. The morphokinetic parameters ana-lyzed were second polar body extrusion (tPB2), pronuclei (PN) appear-ance (tPNa), pronuclear fading (tPNf), onset of 2- to 8-cell divisions (t2, t3,t4, t5, t6, t7, t8, t9+), time between 2- and 3-cell stage (cc2) and between3- and 4-cell stage (s2) and timing of morulae formation (tM), starting

Figure 1 Examples of human blastocyst morphology evaluation.(A) High-quality blastocyst: Type A ICM, Type A TE and degree ofblastocoel expansion 4; (B) High-quality blastocyst: Type B ICM,Type A TE and degree of blastocoel expansion 5; (C) Low-qualityblastocyst: Type C ICM, Type B TE and degree of blastocoel expan-sion 5; (D) Low-quality blastocyst: Type C ICM, Type C TE anddegree of blastocoel expansion 4. The arrows indicate the ICM.Pictures are at magnification ×400. ICM, inner cell mass; TE,trophectoderm.

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blastulation (tSB), full blastocyst stage (tB), blastocyst expansion (tEB) andblastocyst hatching (tHB) (Meseguer et al., 2011).

Blastocyst biopsy, whole-genomeamplification and aCGH protocolAll biopsies were performed at blastocyst stage. On Day 3, a non-contact1.48 µ diode laser (Fragouli et al., 2008) was used to create a circular 6- to9-µ-diameter opening in the zona pellucida in cleavage stage embryos, inorder to allow the TE to herniate at the time of blastocyst expansion. Onthe day of biopsy, 5–10 TE cells were gently aspirated with a biopsy pipette(inner and outer diameters 35 and 49 µ, respectively; COOK Ireland Ltd,Limerick, Ireland) followed by a laser-assisted cut. The TE cells werewashed in sterile phosphate-buffered saline solution (PBS) and then placedinto microcentrifuge tubes containing 2 µl PBS and sent to GENOMAlaboratory for the genetic analysis (Greco et al., 2014). For whole-genomeamplification (WGA), TE cells were first lysed and genomic DNA was ran-domly fragmented and amplified using the SurePlex DNA AmplificationSystem (BlueGnome, Cambridge, UK). For each sample, a negative controlunderwent the same treatment. WGA products were processed as previ-ously reported (Fiorentino et al., 2014; Greco et al., 2014) according to theBlueGnome 24sure V3 protocol (available at www.cytochip.com). Briefly,WGA products were fluorescently labeled and competitively hybridized to24sure V3 arrays (BlueGnome) with a matched control in an aCGH experi-ment format. A laser scanner InnoScanw 710 AL (INNOPSYS, Carbonne,France) was used to excite the hybridized fluorophores and read and storethe resulting images of the hybridization. Scanned images were then analyzedand quantified by algorithm fixed settings in BlueFuse Multi Software(BlueGnome) (Gutiérrez-Mateo et al., 2011).

Blastocyst vitrification, warming and embryotransferVitrification was carried out using the Kuwayama protocol with Cryotop(Kuwayama, 2007). The media employed were vitrification and warmingkits (Kitazato Vitrification Kit; BioPharma, Shizouka, Japan). Briefly, blasto-cysts were incubated in equilibration and vitrification solutions for 15 min-utes and 30–60 seconds at room temperature, respectively. Blastocystswere individually loaded onto Cryotops in a volume of <0.1 µl and quicklyplunged into liquid nitrogen. Warming was performed by placing theCryotop in the thawing solution for 60 seconds at 37°C. Then the blasto-cyst was moved to the dilution solution for 3 minutes at room tempera-ture, followed by two steps in washing solution for 5 minutes each.Blastocysts were transferred 1–2 hours post-warming. Single or doubleembryo transfer was performed, both fresh or after cryopreservation.Fresh embryo transfers were carried out in the morning of Day 6, afterreceiving the genetic result. Frozen–thawed embryo transfers were per-formed both after preparation by combining GnRH agonist and estrogenpills (Progynova; Bayer, New Zealand Limited, Auckland, New Zealand)or in a spontaneous cycle. All transfer procedures were carried out withthe use of a catheter (Wallace; Smiths Medical, Dublin, Ireland) under dir-ect ultrasound guidance as previously described (Brown et al., 2010). Onlyeuploid blastocysts were selected for transfer. No blastocyst transfer wasperformed with an endometrium thickness of <7 mm.

Statistical analysisContinuous data are presented as mean and standard deviation, and cat-egorical variables are presented as absolute and percentage frequency. Inorder to account for multiple data from the same patient, several mixedlogistic models (with patient identification code as random factor) wereused to evaluate associations between presence of aneuploid blastocystsand morphological variables. Odds ratio (OR) and their 95% confidence

interval (CI) were reported. Adjusted OR were also reported after adjust-ing for female age. Analyses were performed on all samples, and separatelyby age classes. Differences between euploidy and aneuploidy in morphoki-netic variables were calculated by mixed linear regression (with patientidentification code as random factor and each kinetic parameter as thedependent variable), and marginal means and their 95% CI were reportedfor all samples. Stata 13.1 (Stata; Data Analysis and Statistical Software,Texas, USA) was used for all analyses. A P-value < 0.05 was consideredstatistically significant.

The Institutional Ethics Committee of the European Hospital approvedthis study proposal in accordance with the Helsinki Declaration. Aninformed consent was signed from all the patients enrolled in this study.

ResultsFrom September 2012 to April 2014, 530 PGS cycles were performed.The general outcomes of the cycles are reported in Table I. The TEbiopsy with aCGH was performed in 1748 blastocysts. In 1730 ofthem, it was possible to obtain the genetic result and 603 (34.9%) ofthese were euploid; the other 18 (1.0%) produced no results, probablydue to amplification failure. At time of writing, a total of 407 embryotransfers were performed, 155 of them with fresh and 252 withfrozen–thawed blastocysts; 274 blastocysts were thawed and 271(98.9%) of them survived. Overall, a positive hCG test was obtained in228 (56.0%) patients, 45 of them had a biochemical pregnancy, 3 ofthem an ectopic pregnancy and the other 180 were clinical pregnan-cies. Significantly higher clinical pregnancy, implantation and live birthrates were obtained in frozen–thawed compared to fresh embryotransfers (49.2%, 47.2% and 41.3% in frozen–thawed and 36.1%,34.1% and 29.0% in fresh embryo transfers, P = 0.0104, 0.0091and 0.0148, respectively). In addition, a trend towards a reduced bio-chemical pregnancy rate was found with frozen embryo transfer(16.2% versus 26.3% in cryopreserved and fresh embryo transfer,respectively, P = 0.0819), but this was not statistically significant. Themiscarriage rate was 16.1% and 19.6% in cryopreserved and freshembryo transfer, respectively (NS, Table I).

Standard morphology evaluationOut of the 1730 blastocysts from which the genetic result wasobtained after the biopsy, 114 were not fully expanded (Grade 2)making it impossible to do a complete morphological evaluation of theICM and TE; in the other 1616 blastocycts, the ICM and TE qualitywere evaluated. No correlation was found between the ploidy statusof the embryos, and either the standard morphology evaluation per-formed on day 3 cleavage stage or the day when the blastocystsformed and were biopsied (Table II). A higher proportion of euploid,compared to aneuploid blastocysts, was found in correlation with topquality ICM, TE and with the degree of the blastocyst expansion.Particularly, when the ICM was of Grade B or C, the blastocystsshowed, respectively, 60% or 150% higher probability of being aneu-ploid (OR = 1.6, 95% CI: 1.3–2.1, P = 0.001 and OR = 2.5, 95% CI:1.8–3.3, P < 0.001, respectively), compared to Grade A ICM.Similarly, when the TE was of Grade B or C, the blastocysts showed,respectively, 80% or 120% higher probability of being aneuploid(OR = 1.8, 95% CI: 1.3–2.3, P < 0.001 and OR = 2.2, 95% CI:1.7–2.9, P < 0.001, respectively), compared to Grade A TE. Finally,

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blastocysts displaying expansion degree 5–6 had 40% less probabilityof being aneuploid (OR = 0.6, 95% CI: 0.4–0.9, P = 0.026), comparedto expansion degree 1–2 (Table II).The mean female age was lower in the euploid compared to aneu-

ploid groups (35.0 ± 3.78 versus 36.7 ± 4.13 years, respectively), withan increasing probability to be aneuploid of 10% per year (OR = 1.1,95% CI: 1.1–1.2, P < 0.001) (Table II; Figs. 2–4). In order to eliminatethe effect of mean female age, the same evaluations were performeddividing the patients into four age classes: ≤32, 33–36, 37–41, ≥42 years(Supplementary Table SI).

Morphokinetic evaluationOut of the 1730 biopsied blastocysts, 928 were cultured in time-lapseincubators, allowing the morphokinetic parameters to be evaluated(Table III). The four-cell stage was reached significantly earlier ineuploid (40.0 hours, 95% CI: 39.3–40.6) compared to aneuploid blas-tocysts (41.1 hours, 95% CI: 40.6–41.6, P = 0.002). In addition, thecleavage from three- to four-cell stages (s2) was faster in euploidembryos compared to aneuploid ones: 2.6 hours (95% CI: 1.7–3.5)and 4.2 hours (95% CI: 3.6–4.8), respectively (P = 0.004). Finally, theeuploid blastocysts started to form, reached the full stage, expandedand hatched significantly faster, compared to aneudploid ones: tSB103.4 (95% CI: 102.2–104.6) versus 105.0 (95% CI: 104.0–106.0,P = 0.007), tB 110.2 (95% CI: 108.8–111.5) versus 112.8 (95% CI:111.7–113.9, P < 0.001), tEB 118.7 (95% CI: 117.0–120.5) versus122.1 (95% CI: 120.7–123.4, P < 0.001) and tHB 133.2 (95% CI:131.2–135.2) versus 137.4 (95% CI: 135.7–139.1, P < 0.001) hours,respectively. Comparisons between euploid and aneuploid blastocystsfor the other morphokinetic parameters did not reach statistical signifi-cance (Table III). The same evaluations were performed dividing thepatients into four age classes: ≤32, 33–36, 37–41, ≥42 years(Supplementary Table SII).

DiscussionOocyte and embryo aneuploidies, affecting more than half of embryosproduced and increasing with advancing maternal age, is the main

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Table I Biological and clinical outcomes of 530 PGSwith aCGH cycles performed from September 2012 toApril 2014.

PGS + aCGH September 2012to April 2014

Number of cycles 530

Mean female age (years, ±SD) 36.8 ± 4.24

Mean male age (years, ±SD) 39.4 ± 5.37

Number of Retrieved oocytes 5811

Mature oocytes (%) 4463 (76.8%)

Injected oocytes 4463

Fertilized oocytes (%) 3495 (78.3%)

Day 3 embryos obtained (%) 3463 (99.1%)

Day 3 good/excellent qualityembryos (%)

3011 (86.9%)

Blastocysts obtained (%) 1812 (52.3%)

Blastocyst analyzed for PGS (%) 1748 (96.5%)

Blastocysts with genetic result (%) 1730 (98.5%)

Blastocysts no result (%) 18 (1.0%)

Aneuploid blastocysts (%) 1127 (65.1%)

Euploid blastocysts (%) 603 (34.9%)

Transferred blastocysts

Total 435

In fresh ET 164

In frozen–thawed ET 271

ETs

Total 407

Fresh 155

Frozen–thawed 252

hCG-positive test (%)

Total 228 (56.0%)

In fresh ET 80 (51.6%)

In frozen–thawed ET 148 (58.7%)

Biochemical pregnancies (%)

Total 45 (19.7%)

In fresh ET 21 (26.3%)

In frozen–thawed ET 24 (16.2%)

Clinical pregnancies (CPR%)

Total 180 (44.2%)

In fresh ET 56 (36.1%)

In frozen–thawed ET 124 (49.2%)

Fetal hearts (IR%)

Total 184 (42.3%)

In fresh ET 56 (34.1%)

In frozen–thawed ET 128 (47.2%)

Ectopic pregnancies

Total 3

In fresh ET 3

In frozen–thawed ET 0

Continued

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Table I Continued

PGS + aCGH September 2012to April 2014

Miscarriages (%)

Total 31 (17.2%)

In fresh ET 11 (19.6%)

In frozen–thawed ET 20 (16.1%)

Deliveries (LBR%)

Total 149 (36.6%)

In fresh ET 45 (29.0%)

In frozen–thawed ET 104 (41.3%)

aCGH, array comparative genomic hybridization; ET, embryo transfer; CPR, clinicalpregnancy rate; IR, implantation rate; LBR, live birth rate.

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reason for implantation failure and abortion in IVF cycles (Macklonet al., 2002; Fragouli and Wells, 2012; Fragouli et al., 2013). Our dataconfirm this finding: the mean female age in the euploid group wasyounger compared to the aneuploid one. Furthermore, this studyunderlines that the aneuploidy rate increases by ~10% per year of

female age. Therefore, the establishment of a feasible procedure ableto identify euploid embryos without impairing their implantationpotential is of crucial relevance.Although morphological evaluation has been the main strategy

applied in order to choose the embryos to transfer, it was shown that

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Table II Correlation between the human Day 3 embryo morphological evaluation, day of the TE biopsy, ploidy status ofthe blastocysts, ICMmorphology, TE morphology, degree of expansion (EXP) of the blastocysts and their ploidy status.

Euploid blastocysts(N = 603)

Aneuploid blastocysts(N =1127)

OR 95% CI Pc OR adjb 95% CI Pd

Day 3 Grade A embryos 474 (78.6%) 863 (76.6%) 1a

Day 3 Grade B embryos 114 (18.9%) 244 (21.7%) 1.2 0.9–1.5 0.207 1.2 0.9–1.5 0.224

Day 3 Grade C embryos 15 (2.5%) 20 (1.8%) 0.8 0.4–1.6 0.456 0.7 0.3–1.4 0.339

Day 4 biopsy 9 (1.5%) 10 (0.9%) 0.4 0.1–1.3 0.124 0.4 0.1–1.3 0.130

Day 5 biopsy 402 (66.7%) 731 (64.9%) 0.6 0.3–1.1 0.092 0.6 0.3–1.2 0.165

Day 6 biopsy 178 (29.5%) 343 (30.4%) 0.6 0.3–1.2 0.144 0.7 0.3–1.3 0.229

Day 7 biopsy 14 (2.3%) 43 (3.8%) 1a

Grade A ICM 270 (47.2%) 342 (32.8%) 1a

Grade B ICM 204 (35.7%) 404 (38.7%) 1.6 1.3–2.1 <0.001 1.5 1.2–2.0 0.001

Grade C ICM 98 (17.1%) 298 (28.5%) 2.5 1.8–3.3 <0.001 2.3 1.7–3.2 <0.001

Not evaluable ICM quality 31 83

Grade A TE 266 (46.5%) 325 (31.1%) 1a

Grade B TE 154 (26.9%) 321 (30.7%) 1.8 1.3–2.3 <0.001 1.7 1.3–2.2 <0.001

Grade C TE 152 (26.6%) 398 (38.1%) 2.2 1.7–2.9 <0.001 2.1 1.6–2.7 <0.001

Not evaluable TE quality 31 83

EXP 1–2 31 (5.1%) 83 (7.4%) 1a

EXP 3–4 83 (13.8%) 228 (20.2%) 1.0 0.6–1.7 0.894 1.0 0.6–1.6 0.879

EXP 5–6 489 (81.1%) 816 (72.4%) 0.6 0.4–0.9 0.026 0.6 0.4–0.9 0.021

Female age 1.1 1.1–1.2 <0.001

aReference class.bOR adj: odds ratio adjusted by female age.cP-value was calculated by univariable mixed logistic model.dP-value was calculated by mixed logistic model adjusting by female age.

Figure 2 Distribution of euploid (E) and aneuploid (A) human blas-tocysts according to the ICM morphology in four classes of femaleages (≤32, 33–36, 37–41, ≥42 years). The N values are at top of bars.

Figure 3 Distribution of euploid (E) and aneuploid (A) human blas-tocysts according to the TE morphology in four classes of female ages(≤32, 33–36, 37–41, ≥42 years). The N values are at top of bars.

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even aneuploid embryos are able to reach high morphological scores(Hardarson et al., 2003; Munné, 2006; Alfarawati et al., 2011; Fragouliet al., 2014). In accordance with Fragouli and coauthors (2014), theoutcomes of this study demonstrate that at cleavage stage the ploidyof the embryo has no effect on its morphology. On the contrary, atblastocyst level, in accordance with previous studies (Alfarawati et al.,2011; Fragouli et al., 2014), we found a greater likelihood of euploidy

among blastocysts with good morphology scores and among embryosshowing a faster progression to blastocyst stage. A possible explan-ation is that embryo genome activation starts at the four- to eight-cellstage (Braude et al. 1988). Consequently, only after the third day of cul-ture will the embryo gradually express its own genes and the potentialgenetic abnormalities will start having an effect on embryo development(Alfarawati et al., 2011; Fragouli et al., 2014). It is important to underlinethat the attempt to select an euploid blastocyst only on the basis of itsmorphological aspect can be extremely hazardous, because many aneu-ploid blastocysts are able to reach top quality scores.Recently, the time-lapse technology was applied to human embryos

and a lot of data analyzing the possible prognostic effect of morphoki-netic were reported, with very conflicting results (Kaser andRacowsky, 2014). Azzarello et al. (2012), contrary to our finding andto another two previous studies (Chamayou et al., 2013; Kirkegaardet al., 2013b), found that PN breakdown occurred significantly later inembryos leading to live birth, compared to the no live birth group.Proceeding along cellular divisions, we found a higher percentage ofeuploidy when embryos reached the four-cell stage earlier and cleavedfrom three- to four-cells stage faster, compared to aneuploid ones.Other studies were partially in accordance with our findings: a highlysignificant association between implantation (Meseguer et al., 2011;Dal Canto et al., 2012) or blastocyst formation (Hashimoto et al.,2012; Dal Canto et al., 2012) potentials and shorter times to reach thefive-cell (Meseguer et al., 2011), seven-cell (Dal Canto et al., 2012)and eight-cell stages (Hashimoto et al., 2012; Dal Canto et al., 2012)as well as a faster time to cleavage from two to three cells (cc2;

Figure 4 Distribution of euploid (E) and aneuploid (A) human blas-tocysts according to the degree of expansion in four classes of femaleages (≤32, 33–36, 37–41, ≥42 years). The N values are at top of bars.

....................................................... .......................................................

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Table III Morphokinetic parameters analyzed in euploid and aneuploid human blastocysts.

Kinetic parameter Euploid blastocysts (N = 294) Aneuploid blastocysts (N = 634) Pa

N Mean 95% CI N Mean 95% CI

tPB2 294 3.9 3.7–4.0 634 4.0 3.8–4.1 0.390

tPNa 294 10.2 9.8–10.6 634 10.1 9.8–10.4 0.468

tPNf 294 24.4 24.0–24.8 634 24.8 24.4–25.1 0.095

t2 276 28.0 27.5–28.5 602 28.4 28.0–28.9 0.110

t3 99 37.4 36.3–38.4 250 37.2 36.5–37.9 0.798

t4 270 40.0 39.3–40.6 570 41.1 40.6–41.6 0.002

t5 134 50.4 49.1–51.8 282 50.6 49.6–51.6 0.823

t6 170 53.9 52.7–55.2 323 55.2 54.2–56.3 0.069

t7 141 57.8 56.3–59.3 243 58.1 56.8–59.3 0.765

t8 257 61.9 61.5–63.2 556 62.0 61.0–63.0 0.853

9+ 232 76.1 74.6–77.6 519 76.8 75.6–78.0 0.369

cc2 90 10.5 9.8–11.2 224 10.4 9.9–10.9 0.787

s2 86 2.6 1.7–3.5 214 4.2 3.6–4.8 0.004

tM 273 94.4 93.0–95.7 607 95.3 94.1–96.4 0.177

tSB 266 103.4 102.2–104.6 598 105.0 104.0–106.0 0.007

tB 263 110.2 108.8–111.5 593 112.8 111.7–113.9 <0.001

tEB 222 118.7 117.0–120.5 493 122.1 120.7–123.4 <0.001

tHB 174 133.2 131.2–135.2 328 137.4 135.7–139.1 <0.001

tPB2, second polar body extrusion; tPNa, appearance of two pronuclei; tPNf, pronuclear fading; t2, t3, t4, t5, t6, t7, t8, t9+, time to 2, 3, 4, 5, 6, 7, 8, 9+ or more cells divisions,respectively; cc2, time between 2- and 3-cell stages; s2, time between 3- and 4-cell stages; tM, morulae formation; tSB, starting blastulation; tB, full blastocyst stage; tEB, blastocystexpansion; tHB, blastocysts hatching. The marginal means reported are expressed in hours.aP-value was calculated by linear mixed model.

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Meseguer et al., 2011) and from three to four cells (s2; Mesegueret al., 2011; Hashimoto et al., 2012), was described. Extending thesearch for predictive time-lapse markers at blastocyst level, we foundthat the times when the blastocyst starts to form (tSB), is completelyformed (tB), expands (tEB) and hatches (tHB) were significantly short-er in the euploid compared to the aneuploid group. These resultscomply with previous studies reported by Campbell and coauthors(2013a,b) where a delay in starting compaction, starting blastulationand in reaching full blastocyst stage was observed in aneuploidembryos compared to euploid ones. On the contrary, other studiesreported a similar development in implanted/not implanted(Chamayou et al., 2013; Kirkegaard et al., 2013b) and euploid/aneu-ploid (Rienzi et al., 2015) embryos for all the morphokinetic para-meters analyzed, at both embryo and blastocyst levels. However,although to date there is the lack of a universally applicable algorithm(Kirkegaard et al., 2013b; Kramer et al., 2014; Basile et al., 2015;Fréour et al., 2015), time-lapse technology has the potential to simplifyworkflow in the laboratory (Kaser and Racowsky, 2014), being par-ticularly useful in the deselection of embryos showing greatly abnormaldevelopment (Liu et al., 2015, 2016). Anyway, evidence of improvedclinical outcomes applying this costly technology is still to be obtained(Armstrong et al., 2015), and although there seems to be a relationshipbetween the ploidy status and blastocyst morphology/developmentdynamics, at this moment morphological and morphokinetic evalua-tions cannot replace the invasive method of embryo biopsy.Recently, a variety of technologies for comprehensive chromosome

analysis have been developed and are currently available for clinicaluse (Fragouli et al., 2011; Scott et al., 2012; Fiorentino et al., 2014;Bono et al., 2015). It has been reported that TE biopsy does not impairhuman embryonic implantation potential and is less invasive comparedto blastomere biopsy (Scott et al., 2013b; Minasi and Greco, 2014). Inaddition, TE karyotype has been demonstrated to be an excellent pre-dictor of ICM karyotype (Johnson et al., 2010). PGS performed at theblastocyst stage with whole-genome screening seems to be a uniqueprocedure, able to provide an accurate assessment of embryo ploidywhile maintaining high implantation potential and reducing the time topregnancy (Scott et al., 2013a,b; Fragouli et al., 2014; Minasi andGreco, 2014). This technology allows performing a single embryotransfer, therefore reducing the multiple pregnancy rates while main-taining the cumulative success rate (Ubaldi et al., 2015). Moreover, afreeze-all strategy, in which all embryos are cryopreserved after thebiopsy waiting for the genetic result to be produced, allows a bettersynchronization with the endometrium, hence reducing the risks ofmiscarriage and biochemical pregnancy. This strategy prevents the riskof ovarian hyperstimulation syndrome since the subsequent transfercan be performed in a natural cycle, a low-cost and patient-friendlyprocedure (Pelinck et al., 2002).The miscarriage and ongoing pregnancy rates obtained in this study

are comparable to those that have been routinely achieved withoutthe use of the high-technology methods of PGS or morphokineticevaluation of embryos. Our results, therefore, suggest that embryoevaluation by PGS or time-lapse imaging, does not enhance per seembryo or oocyte quality and may not improve IVF outcome. Indeedsimilar clinical results, in terms of ongoing pregnancy and miscarriagerates, are reported also in double untested embryo transfers (Ubaldiet al., 2015; Kang et al., 2016). Consequently, the PGS or time-lapseimaging methodologies do not improve general outcomes in the

overall patient population. Moreover, considerable controversy stillremains about the clinical and economic effectiveness of the PGSapproach, and well-designed prospective studies, taking into accountdifferent patient characteristics and clinical practice, are still necessary(Lee et al., 2015).

Supplementary dataSupplementary data are available at http://humrep.oxfordjournals.org/.

Authors’ rolesM.G.M. is the director of the laboratory, coordinated all the embryo-logical laboratory procedures, was involved in the study conceptionand design, data analysis and drafting manuscript. A.C. played a centralrole in laboratory procedures, data analysis and final approval. T.R.and A.R. played a central role in laboratory procedures and finalapproval. V.C. played a central role in laboratory procedures, in thecritical revision of the article and final approval. F.S. (FilomenaScarselli) played a central role in laboratory procedures and finalapproval, and F.S. (Francesca Spinella) was involved in the genetic ana-lysis and final approval. F.F. was involved in the genetic analysis andfinal approval. M.T.V. was involved in stimulation protocols, in surgicalprocedures and final approval. E.G. was involved in stimulation proto-cols and final approval.

FundingThis work has not received any external financial support from anycommercial company.

Conflict of interestNo conflict of interest has to be declared by any of the authors regard-ing the material discussed in the manuscript.

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SUPPLEMENTARY

DATA

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Supplementary Table SI: Correlation between ICMmorphology, TE morphology, EXP of the blastocysts and their ploidy status, according to fourclasses of mean female age (≤32, 33-36, 37-41, ≥42, years).

Femaleage(years)

≤32 33–36 37–41 ≥42

EuploidN=148(48.1%)

AneuploidN=160(51.9%)

OR 95% CI P EuploidN=208(41.3%)

AneuploidN=296(58.7%)

OR 95% CI P EuploidN=204(29.7%)

AneuploidN=483(70.3%)

OR 95% CI P EuploidN=12(10.3%)

AneuploidN=105(89.7%)

OR 95% CI P

Grade AICM (%)

74 (50.0) 57 (35.6) 1° 102 (49.0) 107 (36.1) 1° 90 (44.1) 148 (30.6) 1° 4 (33.3) 30 (28.6) 1°

Grade BICM (%)

56 (37.8) 58 (36.3) 1.4 0.8–2.5 0.201 65 (31.3) 100 (33.8) 1.6 1.0–2.5 0.047 78 (38.2) 205 (42.5) 1.6 1.1–2.3 0.013 5 (41.7) 41 (39.0) 1.1 0.3–4.5 0.914

Grade CICM (%)

18 (12.2) 45 (28.1) 3.7 1.8–7.6 <0.001 41 (19.7) 89 (30.1) 2.2 1.3–3.6 0.002 36 (17.6) 130 (26.9) 2.2 1.4–3.5 0.001 3 (25.0) 34 (32.4) 1.5 0.3–7.5 0.613

Grade ATE (%)

71 (48.0) 52 (32.5) 1° 100 (48.1) 109 (36.8) 1° 91 (44.6) 137 (28.4) 1° 4 (33.3) 27 (25.7) 1°

Grade BTE (%)

43 (29.1) 50 (31.2) 1.6 0.9–2.9 0.113 48 (23.1) 80 (27.0) 1.7 1.0–2.7 0.037 60 (29.4) 157 (32.5) 1.7 1.2–2.6 0.007 3 (25.0) 34 (32.4) 1.7 0.3–8.2 0.525

Grade CTE (%)

34 (23.0) 58 (36.3) 2.6 1.4–4.9 0.002 60 (28.8) 107 (36.1) 1.7 1.1–2.7 0.021 53 (26.0) 189 (39.1) 2.4 1.6–3.5 <0.001 5 (41.7) 44 (41.9) 1.3 0.3–5.3 0.714

EXP 1-2(%)

7 (4.5) 25 (13.5) 1° 12 (5.5) 16 (5.1) 1° 10 (4.7) 30 (5.8) 1° 2 (14.3) 12 (10.3) 1°

EXP 3-4(%)

19 (12.3) 32 (17.3) 0.4 0.1–1.3 0.136 30 (13.6) 55 (17.6) 1.3 0.5–3.3 0.565 34 (15.9) 121 (23.6) 1.2 0.5–2.8 0.629 0 20 (17.1) -

EXP 5-6(%)

129 (83.2) 128 (69.2) 0.2 0.1–0.6 0.003 178 (80.9) 241 (77.2) 0.9 0.4–2.1 0.891 170 (79.4) 362 (70.6) 0.7 0.3–1.5 0.393 12 (85.7) 85 (72.6) 1.2 0.2–7.3 0.811

Reference class.ICM, inner cell mass; TE, trophectoderm; EXP, degree of expansion; OR, odd ratio. Statistical test applied: univariable mixed logistic model.

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Supplementary Table SII: Morphokinetic parameters analyzed in euploid and aneuploidy blastocysts, according to four classes of mean female age (≤32, 33–36, 37–41, ≥42, years).

Euploid≤32 (N=67)

Aneuploid≤32 (N=115)

Euploid33–36 (N=90)

Aneuploid33–36 (N=158)

Euploid37–41 (N=126)

Aneuploid37–41 (N=292)

Euploid≥42 (N=10)

Aneuploid≥42 (N=70)

Mean 95% CI Mean 95% CI Mean 95% CI Mean 95% CI Mean 95% CI Mean 95% CI Mean 95% CI Mean 95% CI

tPB2 3.8 (67) 3.4–4.1 3.8 (115) 3.5–4.1 4.0 (90) 3.6–4.3 4.0 (58) 3.7–4.3 3.9 (126) 3.6–1.2 4.0 (292) 3.7–4.1 3.8 (10) 3.2–4.5 4.1 (70) 3.8–4.3

P=0.477 P=0.712 P=0.686 P=0.477

tPNa 9.7 (67) 9.0–10.4 9.4 (115) 8.8–10.1 9.9 (90) 9.2–10.6 10.2 (158) 9.3–10.8 10.7 (126) 10.0–11.3 10.4 (292) 9.8–10.9 10.2 (10) 8.8–11.6 9.9 (70) 9.2–10.6

P=0.426 P=0.454 P=0.222 P=0.641

tPNf 24.2 (67) 23.4–25.0 24.4 (115) 23.7–25.1 24.6 (90) 23.9–25.3 24.7 (158) 24.1–25.3 24.5 (126) 23.9–25.1 25.1 (292) 24.6–25.6 24.2 (10) 22.4–25.8 24.2 (70) 23.4–24.9

P=0.608 P=0.737 P=0.033 P=0.986

t2 27.9 (67) 27.0–28.8 27.9 (113) 27.1–28.7 28.0 (82) 26.9–29.1 28.8 (155) 27.9–29.7 28.3 (117) 27.5–29.1 28.9 (272) 28.2–29.6 27.1 (10) 25.3–28.9 27.0 (67) 26.2–27.9

P=1.000 P=0.201 P=0.097 P=0.910

t3 39.1 (22) 37.0–41.1 37.3 (51) 35.8–38.7 36.8 (30) 37.8–38.8 38.5 (55) 36.9–40.0 37.3 (43) 35.7–38.8 37.2 (114) 36.0–38.3 38.2 (4) 34.6–41.8 34.9 (31) 33.6–36.2

P=0.139 P=0.196 P=0.880 P=0.092

t4 40.1 (64) 39.9–41.3 40.5 (106) 39.4–41.5 39.9 (83) 38.6–41.1 40.9 (150) 39.9–41.9 40.0 (113) 39.0–41.0 41.7 (255) 40.9–42.5 40.5 (10) 37.6–43.3 40.1 (64) 38.9–41.4

P=0.601 P=0.121 P=0.001 P=0.811

t5 51.8 (28) 49.2–54.5 51.7 (52) 49.7–53.7 49.0 (37) 46.6–51.5 50.5 (56) 48.4–52.6 50.6 (62) 48.4–52.7 50.2 (133) 48.5–51.8 52.3 (7) 47.0–57.6 50.6 (41) 48.4–52.9

P=0.947 P=0.342 P=0.737 P=0.552

t6 53.8 (36) 51.5–56.1 55.3 (63) 53.4–57.1 53.2 (54) 50.8–55.6 55.1 (77) 52.9–57.3 54.6 (73) 52.6–56.5 55.8 (144) 52.6–56.5 54.2 (7) 48.6–59.8 54.1 (39) 51.6–56.6

P=0.311 P=0.152 P=0.261 P=0.974

t7 57.6 (31) 54.7–60.5 58.6 (35) 55.8–61.2 56.8 (45) 54.0–59.6 57.4 (61) 54.8–60.0 58.1 (60) 55.8–60.5 58.8 (115) 57.0–60.7 63.7 (5) 56.5–70.9 56.4 (32) 53.4–59.5

P=0.631 P=0.696 P=0.593 P=0.058

t8 60.9 (55) 58.4–63.5 61.5 (97) 59.4–63.6 61.0 (80) 58.6–63.4 60.8 (144) 58.8–62.8 62.2 (112) 60.2–64.2 62.8 (252) 61.2–64.3 66.8 (10) 59.8–73.7 62.0 (65) 59.2–54.7

P=0.684 P=0.839 P=0.575 P=0.207

9+ 76.7 (54) 74.1–79.3 75.3 (93) 73.1–77.4 75.8 (74) 72.8–78.8 76.7 (131) 74.1–79.2 75.6 (96) 73.3–77.8 77.9 (233) 76.2–76.7 78.0 (8) 71.2–84.8 75.4 (64) 71.6–79.2

P=0.368 P=0.560 P=0.036 P=0.409

cc2 10.9 (22) 9.5–12.3 10.8 (46) 9.7–11.8 10.5 (25) 9.2–11.8 11.2 (50) 10.2–12.1 10.2 (39) 9.2–11.2 10.3 (101) 9.7–11.0 11.8 (4) 8.0–15.5 8.7 (28) 7.3–10.1

P=0.879 P=0.415 P=0.811 P=0.132

s2 2.5 (20) 0.7–4.3 3.9 (43) 2.6–5.2 3.0 (26) 1.5–4.4 3.8 (50) 2.6–5.0 2.3 (37) 0.9–3.8 4.1 (93) 3.1–5.0 1.9 (4) –4.03–7.8 5.7 (27) 3.4–7.9

P=0.192 P=0.344 P=0.041 P=0.241

tM 92.0 (60) 89.3–94.7 95.5 (103) 93.1–97.9 94.2 (84) 92.3–98.1 95.3 (148) 92.7–97.9 94.9 (119) 92.9–95.8 94.8 (284) 93.3–96.4 94.8 (10) 88.7–100.9 96.7 (70) 93.4–99.9

P=0.006 P=0.954 P=0.975 P=0.535

tSB 101.2 (60) 98.9–103.5 105.0 (101) 103.0–107.1 104.4 (80) 101.8–106.9 104.6 (146) 105.0–106.8 103.9 (117) 102.2–105.7 104.8 (280) 103.4–106.2 100.6 (9) 95.0–106.3 106.8 (69) 103.7–110.0

P=0.001 P=0.819 P=0.300 P=0.020

tB 108.1 (59) 105.5–110.6 112.0 (101) 109.8–114.3 111.4 (78) 108.6–114.2 112.4 (143) 109.9–114.8 110.4 (117) 108.4–112.3 112.9 (278) 111.4–114.5 107.7 (9) 101.3–114.0 114.4 (69) 110.9–117.8

P=0.001 P=0.505 P=0.011 P=0.027

tEB 116.0 (58) 113.1–118.8 119.7 (91) 117.1–122.4 120.2 (68) 116.8–123.6 121.4 (126) 118.5–124.3 119.0 (88) 116.3–121.7 123.2 (224) 121.1–125.2 117.8 (8) 110.0–125.5 123.3 (50) 118.6–128.0

P=0.005 P=0.482 P=0.002 P=0.126

tHB 129.7 (48) 126.0–133.5 134.2 (63) 130.6–137.8 136.2 (53) 132.7–139.7 138.2 (76) 135.0–141.3 133.6 (68) 130.3–136.9 138.8 (159) 136.3–141.2 132.2 (5) 121.8–142.6 136.7 (30) 132.1–141.3

P=0.004 P=0.297 P=0.002 P=0.436

tPB2, second polar body extrusion; tPNa, appearance of two pronuclei (PN); tPNf, pronuclear fading; t2, t3, t4, t5, t6, t7, t8, t9+, time to 2-, 3-, 4-, 5-, 6-, 7-, 8-, 9+- or more cells divisions, respectively; cc2, time between 2- and 3-cell stages; s2, time between 3- and 4-cellstages; tM, morulae formation; tSB, starting blastulation; tB, full blastocyst stage; tEB, blastocyst expansion; tHB, blastocyst hatching. The marginal means reported are expressed in hours. N values are reported in parenthesis. P values were calculated by linear mixed model.

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