Intro
Human reproduction is characterized by its low efficiency. It’s estimated that a
staggering 70% of all pregnancies do not result in live births, with 25% to 50% of
these resulting in what are known as biochemical pregnancies (BP) ( Larsen et al. , 2013 ). A BP is
a very early pregnancy loss, where the initial serum or urine beta human chorionic
gonadotropin (β-hCG) pregnancy test returns a positive result, but an
embryonic sac with a fetal heartbeat is undetected via ultrasound at 6-7 weeks of
gestation, thus the pregnancy does not develop into a clinical pregnancy ( Annan et al. , 2013 ).
In most cases, BP losses remain undetected in natural pregnancies due to the lack of
significant changes in the menstrual cycle. However, for patients who are undergoing
treatments involving assisted reproduction technology (ART), where there is active
monitoring of β-hCG levels following embryo transfer, BPs are identified in
as many as 20% of the cycles (Zeadna et al. , 2015).
A positive β-hCG test indeed confirms that at least one embryo has progressed
to the advanced preimplantation stage and tried to implant ( Annan et al. , 2013 ). Traditionally, a positive
test, compared to a previously negative β-hCG test, has been considered a
more reliable predictor of a successful pregnancy in subsequent ART cycles ( Levy et al. , 1991a , 1991b ; Bates
& Ginsburg, 2002 ; Haas et
al. , 2012 ). However, recent research indicates that
recurrent BP can lead to less favorable ART results, and a correlation has been
observed between the number of losses and unsuccessful outcomes ( Kolte et al. , 2014 ; Maesawa et al. , 2015 ; Yang et al. , 2015 ).
Even though BP occur frequently, the exact causes and contributing factors are still
not clearly understood ( Lee et al. ,
2017 ). Very early pregnancy loss is believed to be influenced not only by
endometrial receptivity but also by embryo quality ( Salumets et al. , 2006 ; Shapiro et al. , 2011 ; Yang et al. , 2015 ; Lee
et al. , 2017 ). Time-lapse imaging (TLI) has been
employed to evaluate a range of morphokinetic parameters from the point of
insemination to blastulation, and their correlation with both laboratory and
clinical outcomes. It has been observed that faster developmental kinetics are
linked with a higher number of embryo cells ( Coticchio et al. , 2018 ), improved blastocyst
development ( Dal Canto et al. ,
2012 ; Kirkegaard et al. ,
2013 ), and increased rates of implantation ( Meseguer et al. , 2011 ; Basile et al. , 2015 ) and pregnancy ( Lemmen et al. , 2008 ; Meseguer et al. , 2012 ).
However, the embryonic morphokinetics’ predictive value for biochemical pregnancy
outcomes has been minimally investigated. Therefore, the aim of this study was to
investigate whether embryos leading to biochemical pregnancy behave
morphokinetically differently than those leading to positive or negative pregnancy
result.
Results
Comparisons of demographic data and ICSI cycles’ characteristics between the three
groups are given in Table 1 . Apart from
maternal age that was significantly different between the Negative and Positive
groups (38.0±0.1y-old vs . 37.2±0.2y-old,
p =0.016, respectively) and paternal age that significantly
differed between the Biochemical and the Negative and Positive groups
(43.2±1.3y-old vs . 38.5±0.4y-old vs .
38.6±0.5y-old, p =0.003, respectively), the characteristics
were similar among the groups.
Comparison of demographic data and ICSI cycles’ characteristics between
Biochemical, Positive and Negative groups (n=753 cycles).
Comparisons of embryo morphokinetic parameters between the three groups are given in
Table 2 . The results from the generalized
mixed models followed by Bonferroni post hoc for the comparison of means among
groups showed that embryos resulting in biochemical pregnancy behaved similarly to
those embryos resulting in a clinical pregnancy in terms of tPNa, tPNf, t2, t3, t4,
t5, t6, t7, t8, tM, tsB, tB, cc2, cc3, s1, s2 and s3 and KIDScore ranking.
Comparison of embryo morphokinetic parameters between Biochemical, Positive
and Negative groups (n=1248 embryos).
Reference group.
Embryos resulting in a negative pregnancy showed significantly slower embryo
development in terms of tPNa, tPNf, t2, t3, t4, cc2, and KIDScore ranking compared
to both Biochemical and Positive groups and differed from the Positive group only in
terms of t6, t7, t8, s1, s2, and s3.
Discussion
Biochemical pregnancy may occur due to potential disruptions in the intricate
communication between the embryo and uterus during implantation, which could lead to
reduced chances of successful reproduction. However, the factors associated with BP
following ART have not been thoroughly investigated. From the onset of implantation,
a natural selection process is in place that prevents embryos with low viability
from advancing past the peri-implantation stage. Not only do decidualized stromal
cells in the endometrium play a wide role in vascular restructuring and immune
response regulation, but they also serve as detectors for signals originating from
the embryo prior to implantation. In the present study we hypothesized that the TLI
technology, which has allowed the possibility of assessing complete embryonic
development, could be used to identify potential morphokinetic characteristics of a
developing embryo associated with the occurrence of a BP. Our results showed that
embryos that resulted in a BP did not display evidence of abnormal morphokinetics,
as they behaved more similarly to those embryos resulting in a clinical pregnancy
than to those resulting in a negative outcome.
In fact, it has been demonstrated that the occurrence of biochemical pregnancy is
linked to elements that modify the implantation process at the endometrial level,
rather than solely the embryo’s chromosomal status. Given that the standard
implantation process involves a sequence of interactions between the embryo and the
endometrium, changes in endometrial receptivity could be the primary reason for
biochemical pregnancy in ART cycles ( Troncoso
et al. , 2003 ). In a previous study performed by our
group, the incidence of biochemical pregnancy in ICSI cycles was associated with
poor endometrial receptivity, supraphysiological hormone levels and poor seminal
parameters (Zanetti et al. , 2019).
On the other hand, in the present study we observed a slower morphokinetic
development in embryos that failed to implant, when compared to embryos that
resulted in biochemical and clinical pregnancy, which was confirmed by significant
differences found in KIDScore ranking among the groups. The Negative group took
significantly longer to reach several milestones as early as tPNa. Indeed, it seems
that the initial embryonic cleavages were particularly slower in the negative group.
It has been demonstrated that faster tPNf and t2 were associated with better embryo
morphology on day 3 ( Coticchio et
al. , 2018 ), shorter t4 was specifically correlated with
euploidy ( Minasi et al. ,
2016 ), and embryos that cleave faster from the 2- to 8-cell stage have a
higher potential for blastulation, implantation and live-birth compared to those
that divide more slowly ( Dal Canto et
al. , 2012 ; 2021 ; Kirkegaard et al. , 2013 ; Meseguer et al. , 2011 ).
This study design faces several key limitations that could affect its validity and
generalizability. The retrospective nature of the study and the small sample size
are the main limitations of this study, which may limit causal inferences and reduce
the statistical power and generalizability of results, respectively. The unequal
group sizes, with a particularly small biochemical pregnancy group, limit
statistical power and may skew comparisons. Despite the eligibility criteria for
inclusion in the analysis, potential differences in the baseline characteristics
cannot be ruled out, and the lack of control for confounding factors such as sperm
quality reduces the reliability of observed associations, and the sole focus on
pregnancy outcomes without assessing live birth rates diminishes the clinical
relevance. Furthermore, conducting the study in a private IVF center restricts its
external validity, as the patient population may not represent broader demographics.
The reliance on a single TLI incubator system (EmbryoScope+) raises questions about
the generalizability of findings to other incubators. Finally, failing to account
for potential temporal biases from the multi-year study period could confound
results if IVF protocols or technologies evolved over time. Therefore, a cautious
interpretation is due.
On the other hand, this study has several strengths that enhance its robustness and
relevance in investigating embryo development kinetics. The use of a large dataset,
including 1,248 transferred embryos from 753 patients, provides substantial
statistical power to detect meaningful patterns and associations. By adjusting for
clustering due to pooling of embryos from the same patient, the analysis accounts
for the non-independence of data points, ensuring more accurate and reliable
results. The study’s reliance on TLI using a standardized incubator (EmbryoScope+)
allows for precise, consistent monitoring of embryo development, minimizing
variability due to observational bias. Additionally, the classification of patients
into three clinically relevant outcome groups (biochemical, positive, and negative
pregnancies) facilitates nuanced insights into how kinetic parameters might differ
across varying outcomes. Conducting the research over a three-year period also
strengthens the findings by incorporating a broad dataset reflective of real-world
IVF practices over time. These strengths position the study as a valuable
contribution to understanding how embryonic kinetics relate to pregnancy outcomes in
a controlled clinical setting.
This study provides valuable insights into the relationship between embryonic
development kinetics and pregnancy outcomes. The finding that embryos resulting in
BP exhibit developmental patterns and KIDScore rankings like those of embryos
leading to clinical pregnancies emphasizes the complexity of BP, suggesting that it
may not solely result from poor embryonic quality but could also involve
multifactorial influences, including endometrial receptivity. The observed slower
development and lower KIDScore rankings in embryos associated with negative
pregnancy outcomes highlight the utility of TLI and embryo scoring systems in
identifying embryos with limited implantation potential. By adjusting for clustering
and analyzing a large, well-characterized dataset, this study not only underscores
the potential of TLI for refining embryo selection but also raises critical
questions about the role of maternal and environmental factors in BP. These findings
pave the way for future research aimed at improving embryo selection protocols and
developing strategies to predict and prevent biochemical pregnancies, ultimately
advancing the success and personalization of assisted reproductive technologies.
In conclusion, embryos resulting in BP behaved similarly to those embryos resulting
in a clinical pregnancy, while embryos resulting in a negative pregnancy showed
significantly slower embryo development and KIDScore ranking compared to both
Biochemical and Positive groups. Further research is needed to identify factors that
can predict and prevent biochemical pregnancy.
Materials|Methods
This case-control study was performed in a private university-affiliated IVF
center, between March 2019 and April 2022. Kinetic data were analyzed in 1248
transferred embryos, which were individually cultured in a TLI incubator
(EmbryoScope+, Unisense Fertilitech, Aarhus, Denmark) until day five of
development, derived from 753 patients undergoing ICSI cycles. Timing of
specific events from the point of insemination was determined using time-lapse
imaging. Patients were split into three groups according to the pregnancy
outcome: Biochemical Group (n=30 cycles and 54 transferred embryos), consisting
of patients with a biochemical pregnancy; Positive Group (n=255 cycles and 444
transferred embryos), consisting of patients with a positive pregnancy result
(clinical pregnancy); and Negative Group (n=468 cycles and 750 transferred
embryos), consisting of patients with a negative pregnancy result ( Figure 1 ).
Figure 1 Study design.
Study design.
All patients signed a written informed consent form in which they agreed to share
the outcomes of their cycles for research purposes, and the study was approved
by the local Institutional Review Board.
To be eligible for inclusion in this study, each patient or cycle had to meet the
following inclusion criteria: pre-menopausal women between 35 and 40 years of
age, undergoing COS with r-FSH for ICSI. Infertile women diagnosed with tubal
infertility or unexplained infertility, or with partners diagnosed with male
infertility factors, eligible for ICSI using fresh sperm from partner
ejaculation; regular menstrual cycles every 25-35 days; body mass index between
18.5-24.9, calculated according to the following formula: body weight (kg) /
(height x height (m 2 ); presence of both ovaries; no clinically
significant illness or pelvic and / or uterine abnormality; normal cervical
cytology; serum FSH within normal limits (≤ 10 mU / ml); the study cycle
was the first cycle of COS for ICSI; use of GnRH antagonist to prevent premature
LH surge; use of recombinant human Chorionic Gonadotropin (r-hCG) to induce
final oocyte maturation; culture of all embryos to D5.
To be eligible for inclusion in this study, the patient may not present with any
of the following exclusion criteria: known stage III-IV endometriosis; known
history of recurrent pregnancy loss (defined as two consecutive losses after
ultrasound confirmation of pregnancy, excluding ectopic pregnancy, and before
week 24 of pregnancy); known abnormal karyotype of the subject or his partner;
any known clinically significant systemic disease (e.g., insulin-dependent
diabetes); known inherited or acquired thrombophilia; known active arterial or
venous thromboembolism, severe thrombophlebitis or a history of these events;
known porphyria; known tumors in the ovaries, breasts, uterus, adrenal gland,
pituitary or hypothalamus that would make the use of gonadotropins
contraindicated; known moderate or severe impairment of kidney or liver
function; undiagnosed vaginal bleeding; current known pelvic inflammatory
diseases.
On the third day of the cycle, controlled ovarian stimulation was started by the
administration r-FSH (300IU follitropin alpha, Gonal-F, Serono, Geneva,
Switzerland or 16 mcg follitropin delta,
Rekovelle ® , Ferring, Saint-Prex, Switzerland)
daily doses. r-FSH dose was adjusted according to follicular development, which
was monitored by ultrasound scan.
When at least one follicle ≥14 mm was visualized, pituitary blockage was
performed using gonadotropin-releasing hormone (GnRH) antagonist (GnRHa,
Cetrotide ® ; Merck KGaA, Darmstadt,
Germany). When three or more follicles attained a mean diameter of ≥ 17
mm and adequate serum estradiol levels were observed, r-FSH and GnRH antagonist
administrations were stopped, and final follicular maturation was triggered by
the administration of recombinant human chorionic gonadotropin (r-hCG, 250
µg, Ovidrel ® , Merck KGaA, Geneva, Switzerland). Oocyte
retrieval was performed 37 hours later. Oocytes in metaphase II were selected
for ICSI.
Semen samples were collected in the laboratory by masturbation and were prepared
using a two-layered density gradient centrifugation technique (50% and 90%
Isolate, Irvine Scientific, Santa Ana, CA, USA).
Intracytoplasmic sperm injection was performed according to Palermo et al. (1992) . Sperm was selected
at 400x magnification using an inverted Nikon Eclipse TE 300 microscope and
injected into the oocytes in a micro-injection dish prepared with buffered
medium (Global w/HEPES, LifeGlobal, Guilford, USA) covered with paraffin oil
(Paraffin oil P.G., LifeGlobal), on an inverted microscope heated stage
(37.0°C±0.5°C).
Injected oocytes were individually cultured in a 16 well culture dish
(Embryoslide, Unisense Fertilitech, Aarhus, Denmark), in 360µl of
continuous single-culture media (Global ®
total ® , LifeGlobal), overlaid with 1.8ml of mineral oil
(Paraffin oil P.G., LifeGlobal) in a TL-monitored incubator (EmbryoScope+,
Unisense Fertilitech, Aarhus, Denmark) set at 37◦C with an atmosphere of 6%
O 2 and 7.2% CO 2 until day five of embryo development.
The incubator high-definition camera was set up to record embryos’ images, in
eleven focal planes, every 10 minutes. Recorded kinetic markers were timing to
pronuclei appearance (tPNa) and fading (tPNf), timing to two (t2), three (t3),
four (t4), five (t5), six (t6), seven (t7), and eight cells (t8), and timing to
morulae (tM), to start blastulation (tSB) and to blastulation (tB). Durations of
the second (cc2, t3-t2) and third cell cycles (cc3, t5-t3) and timing to
complete synchronous divisions t2-tPNf (s1), t4-t3 (s2) and t8-t5 (s3) were
calculated. Data generated from EmbryoScope+ was analyzed using the EmbryoViewer
software (Vitrolife, Denmark).
Embryo transfer was performed on day 5 of embryo development and one or two
embryos were transferred per patient, depending on embryo quality and maternal
age.
A pregnancy test was performed 8 days post blastocyst transfer. Not pregnant was
defined as a serum b-human chorionic gonadotropin (hCG) concentration of
<5mIU/mL. Women with a positive pregnancy test, had a transvaginal ultrasound
scan 2 weeks later. The clinical pregnancy was diagnosed upon detection of
foetal heartbeat. A biochemical pregnancy loss was defined as a positive b-hCG
concentration that declined spontaneously. The pregnancy rate was calculated per
embryo transfer. The implantation rate is the number of gestational sacs with
foetal heartbeats divided by the number of transferred embryos. Miscarriage was
defined as clinical pregnancy loss before 20 weeks.
The primary outcome measure was tB since it is the most advanced key-stage of
embryonic development recorded in our center. Post hoc power analysis was
calculated, given α of 5%, sample size of 1248 embryos that reached
blastocyst stage at day 5 of development, and effect size for tB. The achieved
power was superior to 80%. The calculation was performed using Hotelling Lawley
Trace test in GLIMMPSE App for multilevel data (15), which accounted for
correlation between embryos from the same cycle.
Generalized mixed models (GMM), adjusted for potential confounders, were used to
compare embryos morphokinetic behavior among the groups. Maternal and paternal
ages were included as covariates in all models to control for their
influence.
A random effect was added to account for the correlation between the embryos
within the same cycle, with linear distribution for morphokinetic data in hours
(h) and known implantation diagnosis score (KIDScore) ranking.
The results are expressed as the mean±standard error (SD), beta
coefficient (B) with 95% confidence interval (CI), and p-values.
p <0.05 was considered statistically significant. Data
analysis was conducted using the Statistical Package for the Social Sciences
(SPSS) 21 (IBM, New York, NY, USA).
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