Intro
Endometriosis is currently seen as a systemic inflammatory disease associated with
pelvic pain and infertility, among other symptoms ( Chapron et al. , 2022 ; Pirtea et al ., 2022 ). Though endometriosis is
traditionally associated with pelvic manifestations, this disease displays
multifactorial and systemic effects with a prevalence estimated between 2% and 10%
in women in the general population ( Vassilopoulou
et al ., 2018 ).
Endometriosis is also present in up to 50% of women with infertility ( Vassilopoulou et al ., 2018 ;
Lee et al ., 2020 ). Some
of the mechanisms involved in endometrial pathogenesis may cause an exacerbated
inflammatory state in the uterus and ovaries, thus affecting endometrial
receptivity, ovarian reserve and oocyte quality ( Chen
et al ., 2023 ). In the endometrium, the
decidualization program is altered due to estradiol causing an increase in
prostaglandin E2 production and resistance to progesterone, which affect the
implantation rate ( Zhang & Wang, 2023 ).
Several other associations have been reported, such as aberrant gene expression in
the endometrium associated with an increased production of inflammatory cytokines
and chemokines, resulting in differential recruitment and differentiation of immune
cells, reshaping immune response in the uterus and ovarian microenvironment ( Vallvé-Juanico et al .,
2019 ). All such factors contribute to subfertility via pelvic adhesions,
distorted pelvic anatomy, and bilateral tubal blockage.
Therefore, early screening to select patients at higher risk of endometriosis is
needed. The question is how to find these patients. Having patients answer a
questionnaire is the first step in the diagnostic process ( Chapron et al ., 2022 ). Validated questionnaires
for the early detection of patients at higher risk of endometriosis are currently
available ( Bailleul et al .,
2021 ; Chapron et al .,
2022 ). Apart from its effect on fertility, endometriosis is associated
with dysmenorrhea, dyspareunia and lower abdominal pain; it may also cause dysuria
and dyschezia, depending on the degree of involvement and location ( Ekine et al ., 2020 ). Taking
all this into account, it is important to consider the patient’s clinical symptoms,
perform adequate physical examination, and order complementary tests including
imaging-based approaches, such as ultrasound or magnetic resonance imaging (MRI), to
diagnose ovarian and deep infiltrating endometriosis ( Chapron et al ., 2022 ). Unfortunately, imaging-based
approaches are poor at diagnosing superficial endometriosis, which may require
diagnostic laparoscopy ( Goncalves et
al ., 2021 ).
Until the last decade, diagnostic laparoscopy was routinely performed for the
diagnosis and treatment of endometriosis in patients with suspected endometriosis
who consulted for pain and infertility. More recently, however, diagnostic
laparoscopy has been less prescribed and performed ( Pirtea et al ., 2022 ). This is due to the accumulated
evidence suggesting that surgery for endometriosis does not necessarily improve
assisted reproductive technology (ART) treatment outcomes ( Pirtea et al. , 2022 ). In fact, reports have
indicated that surgery may cause further harm by impairing the ovarian reserve
( Benaglia et al. , 2017 ).
Contrary to observations made in ovarian stimulation, ART does not worsen
endometriosis symptoms and has no impact on ovarian endometriomas or deep
infiltrating endometriosis ( Somigliana et
al ., 2019 ).
Given this controversy, it is possible that only a subgroup of patients with
endometriosis-associated infertility might benefit from laparoscopic treatment and
improve their chances of conceiving naturally. In this regard, Vercellini et al . (2009) reported evidence
indicating that surgery for pelvic endometriosis increased the chances of conceiving
naturally by approximately 50% in the 12-18 months after surgery. This was also
confirmed by others authors ( Dückelmann
et al ., 2021 ; Muzii
et al. , 2021 ). Thus, while seeing patients with
clinical suspicion of endometriosis and infertility, we must consider their age,
ovarian reserve, tubal patency and male factor among other clinical parameters, to
thus evaluate their chances of conceiving naturally as wells as the potential
benefit of surgical treatment ( Rizk et
al ., 2015 ; Lee et
al ., 2020 ; Dückelmann
et al ., 2021 ; Khan
& Lee, 2021 ; Muzii et
al ., 2021 ).
Endometriosis-associated infertility is still being debated and more studies are
required, especially considering that the high efficacy of modern-day assisted
reproductive technology (ART) has led to progressively adopting ART-first
approaches, particularly for women with endometriosis ( Pirtea et al. , 2022 ). However, surgery is
still recommended for some patients with endometriosis depending on the symptoms
they present with and whether they wish to become pregnant. The following questions
must be answered: Does laparoscopy play a role in these patients? What other factors
are involved in the achievement of spontaneous pregnancy by patients with
endometriosis? This study evaluated the spontaneous pregnancy rate of patients with
endometriosis after surgical treatment and its possible associations with different
clinical factors.
Results
From the initial 200 patients, 16.5% opted for immediate ART after laparoscopic
treatment, while the rest opted to wait for spontaneous pregnancy, of which 71.8%
were able to achieve it within 12 months ( Figure
1 ). As we further evaluated the treatment approaches within each age
group, we found that the patients who chose to undergo ART immediately after surgery
were overrepresented in the older group (>39 years). This was expected as other
factors associated with older age and unrelated to endometriosis might have been
involved in the medical decision to go for ART immediately after laparoscopic
treatment ( Figure 2 ). Furthermore, when we
calculated the EFI score, we found that patients with ART as the initial conduct had
a lower score than those who opted to wait for spontaneous pregnancy, which supports
the idea that other factors might be involved. Interestingly, we did not observe
differences between the patients that achieved spontaneous pregnancy (SP-p) and the
ones that did not (NSP-p) ( Figure 3 ).
Figure 1 Distribution of patients according to initial fertility treatment and
overall outcome.
Distribution of patients according to initial fertility treatment and
overall outcome.
Figure 2 Patient age according fertility treatment. ART-p are overrepresented in
the 39+ years group, which could be caused by other factors associated
to age such as low ovarian reserve.
Patient age according fertility treatment. ART-p are overrepresented in
the 39+ years group, which could be caused by other factors associated
to age such as low ovarian reserve.
Figure 3 EFI score. Patients prescribed ART immediately after surgery (ART-p)
presented a significantly lower EFI score in comparison with both groups
that opted for spontaneous pregnancy (SP-p, NSP-p). Interestingly, no
significant difference was found between these last two groups.
Mean±SEM; Anova, sidak post test *** p <0.001,
**** p <0.0001.
EFI score. Patients prescribed ART immediately after surgery (ART-p)
presented a significantly lower EFI score in comparison with both groups
that opted for spontaneous pregnancy (SP-p, NSP-p). Interestingly, no
significant difference was found between these last two groups.
Mean±SEM; Anova, sidak post test *** p <0.001,
**** p <0.0001.
Then, we focused on the patients that opted to wait for a spontaneous pregnancy. When
we evaluated how long it took to achieve pregnancy, we found that the individuals in
the SP-p group achieved pregnancy in 5.7 months, while the subjects on the NSP-p
group took almost 1.8 times longer (10.2±3.7 vs .
5.7±3.6 months, p <0.0001) ( Figure 4A ). Interestingly, when only the time since the treatment change
from waiting for spontaneous pregnancy to ART was considered, we found that patients
achieved pregnancy within a similar time than the ones in the SP group
(4.9±3.7 months), suggesting that patients in the NSP group might have
benefited if they had been identified earlier ( Figure
4B ).
Figure 4 Time to achieve pregnancy. (A) Patients in the NSP group took
significantly longer to achieve pregnancy since surgery than subjects in
the SP group. However, (B) this difference disappears if only the time
since the change in treatment is considered. Mean±SEM; Anova,
sidak post test **** p <0.0001.
Time to achieve pregnancy. (A) Patients in the NSP group took
significantly longer to achieve pregnancy since surgery than subjects in
the SP group. However, (B) this difference disappears if only the time
since the change in treatment is considered. Mean±SEM; Anova,
sidak post test **** p <0.0001.
With this in mind, we decided to look for differences in the other recorded
parameters between the SP-p and NSP-p groups that might be useful to predict the
outcome of patients who chose to wait. We did not find significant differences in
the ASRM score, though a higher proportion of patients with lower ASRM scores (I)
were in the SP (21.2%) vs . the NSP (11.4%) group. Interestingly, we
found that individuals in the ART-p group tended to have higher ASRM scores (III and
IV) than the patients who chose to wait for a spontaneous pregnancy ( Figure 5A ). Of all other studied variables, only
tubal quality showed a significant difference, with a higher percentage of regular
quality on the NSP-p group (22.8% vs . 8.5%,
p <0.05) ( Figures 5B , 5C ).
Figure 5 A- ASRM score by patient group. Patients in the ART-p group showed a
tendency toward higher ASRM scores (III and IV), while individuals in
the SP-p group showed a tendency toward lower ASRM scores (I and II). No
significant difference was found. B- Comparison of uterine cavity
quality between patients in the NSP and SP groups. No differences were
found. C- Comparison of tubal quality between patients in the NSP and SP
groups. NSP had lower tubal quality. Chi-square test.
A- ASRM score by patient group. Patients in the ART-p group showed a
tendency toward higher ASRM scores (III and IV), while individuals in
the SP-p group showed a tendency toward lower ASRM scores (I and II). No
significant difference was found. B- Comparison of uterine cavity
quality between patients in the NSP and SP groups. No differences were
found. C- Comparison of tubal quality between patients in the NSP and SP
groups. NSP had lower tubal quality. Chi-square test.
Since none of the studied variables alone was able to identify patients in need of
ART, we performed a multivariate analysis. As age could be associated with other
factors and considering that in our study all patients in the NSP group were aged
between 30 and 39 years, we chose to focus on patients younger than 40 years old,
since they might be the ones that benefit the most from ART. Using R, we obtained a
decision tree with 81.3% accuracy and 53.3% sensitivity on the original data set
( Figure 6 ).
Figure 6 Decision tree. A multivariable approach was used to predict the patients
that required ART after waiting for spontaneous pregnancy. Figure shows
the optimized decision tree, accuracy 81.3%, sensitivity 53.3%.
Decision tree. A multivariable approach was used to predict the patients
that required ART after waiting for spontaneous pregnancy. Figure shows
the optimized decision tree, accuracy 81.3%, sensitivity 53.3%.
Discussion
As indicated in previous clinical studies about the management options for
endometriosis-related infertility, our data also pointed to an increase in
spontaneous pregnancy after surgical treatment ( Dückelmann et al ., 2021 ; Muzii et al ., 2021 ). This suggests that there
is a group of patients (normal ovarian reserve, normal patency and mild male factor)
who might benefit from laparoscopic infertility treatment associated with
endometriosis to improve their chances of conceiving naturally ( Rizk et al. , 2015 ; Muzii et al. , 2021 ).
Chronic inflammation can impair ovarian or endometrial function, leading to disorders
of folliculogenesis or implantation ( Benaglia
et al ., 2017 ; Pirtea
et al. , 2022 ). Endometriosis usually develops with
diminished ovarian reserve due to the presence of an inflammatory microenvironment.
The identification of progesterone resistance in an eutopic endometrium leads to an
estrogenic state that affects endometrial receptivity ( Lessey et al ., 1996 ; Zeitoun & Bulun, 1999 ; Kao
et al ., 2003 ; Burney
et al ., 2007 ; Lessey
& Kim, 2017 ). Although we did not find a significant correlation
between ASRM score and spontaneous pregnancy, a tendency toward lower scores in
association with better outcomes was identified. A higher proportion of high ASRM
scores was observed among the patients who chose to wait for spontaneous pregnancy
instead of undergoing ART immediately, possibly indicating the presence of other
associated factors not considered in this study.
Although the majority of the patients who opted to wait for spontaneous pregnancy
after endometrial surgery achieved it within 12 months, we found a group of
individuals that was not able to get pregnant spontaneously and eventually required
ART. Consequently, these patients had a longer time from surgery to pregnancy.
Interestingly, when we looked at how long these patients took to achieve pregnancy
since the start of ART, we found that they took a similar amount of time than those
who achieved it spontaneously. If identified earlier, the patients who required ART
might have achieved pregnancy by five to ten months earlier. This is not only
relevant from the psychological point of view ( Assaysh-Öberg et al ., 2023 ; Tetecher et al ., 2024 ), but
also from an endometrial perspective, since laparoscopic surgery for endometriosis
is not curative, with 40-45% of women having recurring disease, which may, again,
interfere with fertility ( Vercellini et
al ., 2009 ).
In order to identify the patients that will require ART at the clinic, we studied
several clinical parameters, including age, ASRM score, tubal and uterine cavity
quality, among others. Although we found an association between some of these
parameters and patient outcomes, none was able to identify patients in need of ART.
As a result, we performed a multivariate analysis. Considering that the goal was to
identify patients at the clinic, we chose to develop a decision tree algorithm. This
type of algorithm presents several advantages. It is not only very easy to use at
the clinic, but it also provides for machine learning opportunities, it is
statistically driven, flexible and can find patterns hidden in the data ( Therneau & Atkinson, 2023 ). One of the main
points about the flexibility of such type of algorithm is that it considers that the
same clinical parameter might lead to different outcomes depending on other
parameters. For example, patient age may lead to different predictions depending on
how long the patient has been infertile for.
We generated a decision tree with 81.3% accuracy and 53.3% sensitivity from the
original set of data. Our decision tree requires only four parameters (time of
infertility, tubal quality, age and ASRM score) and can be worked through in less
than a minute without other tools or calculations, which makes it ideal for
implementation at the clinic and a tool that might result in shorter waiting times
until pregnancy for a significant part of the patients with endometriosis-related
infertility. Further studies with more patients and variables might further improve
the proposed decision tree.
Another tool to evaluate which is the best approach for patients with endometriosis
is the Endometrial Fertility Index, or EFI ( Adamson
& Pasta, 2010 ). The EFI score system has been developed using a wide
variety of endometrial patients and validated several times, proving to be
especially useful for patients with poor prognosis ( Adamson & Pasta, 2010 ; Adamson,
2013 ). In contrast, the decision tree algorithm developed herein focuses
on patients that have a good EFI score and aims to complement the EFI by helping to
identify those patients that, even with a good EFI score, will probably require ART.
The average EFI score of the patients used in the model was 7.27, ranging from 4 to
10.
The management of endometriosis-associated infertility is still a topic of
discussion, especially in what concerns the role of surgery ( Rizk et al. , 2015 ; Lee et al ., 2020 ; Bailleul et al ., 2021 ; Muzii et al ., 2021 ). The results presented
herein support other studies that suggested that surgical treatment for
endometriosis might improve spontaneous pregnancy rates. Furthermore, we propose
that the early identification of patients in need of ART to achieve pregnancy after
the surgery will decrease the time between surgery and pregnancy and thus improve
overall outcomes.
Conclusions
The decision tree obtained in the present study might be a useful tool to identify
patients with good EFI scores who might need ART after endometrial surgery.
Materials|Methods
This retrospective observational study used the anonymized records of patients with
endometriosis-related infertility who underwent laparoscopic surgery at “Fertilis -
Sanatorio Las Lomas”, from 2014 to 2020 with up to two years of follow up. All
patients included had indication for endometrial surgery due to their symptoms.
Of the 303 patients that met the inclusion criteria (age 25-43 years; symptoms and/or
image findings consistent with endometriosis; infertility; and laparoscopic
diagnosis of endometriosis), 200 also met the exclusion criteria (other laparoscopic
diagnosis without findings compatible with endometriosis; history of previous
surgeries for endometriosis; bilateral negative tubal patency; thrombophilia;
recurrent abortion; and moderate/severe male factor) and were used in statistical
analysis.
The following data were collected from patient medical charts: fertility treatment,
age (grouped as 39 years), endometriosis, ASRM score,
initial symptoms, primary/secondary infertility, time of infertility, tubal and
uterine quality and time until pregnancy. The rASRM classification was designed to
categorize cases of endometriosis via direct visualization of the pelvic organs
during laparoscopy or laparotomy into four stages: minimal (I), mild (II), moderate
(III), and severe (IV). Changes involving the peritoneum, the fallopian tubes and
ovaries are used to stage the disease. When using the rASRM system, different points
are assigned depending on whether the endometriotic lesion is deep or superficial,
the size of the endometriotic lesion, and the type (filmy or dense) and extent of
adhesions involving the fallopian tubes, ovaries, and the pouch of Douglas. The
points are added to a total score, and the total score is used to stratify the
disease into one of the four stages ( Hudelist
et al ., 2021 )ureters, bowel and sacral roots.
Adenomyosis (growth of endometrium in the myometrium, sometimes explained by
disruption of the uterine junctional zone. Table
1 shows some of the collected information. Patients were initially
categorized according to fertility treatment as patients that used ART immediately
after surgery (16.5%, ART-p) and patients that waited for a spontaneous pregnancy
(83.5%). This last group was subdivided into patients that achieved spontaneous
pregnancy within 12 months of surgery (71.8%, SP-p) and individuals unable to
achieve spontaneous pregnancy who required ART (28.2%, NSP-p).
Demographic information of the studied patients.
Data was analyzed with GraphPad Prism 9.4 (GraphPad Software) using chi-square, ANOVA
and T-test depending on each comparison. The decision tree was made using
RPart-package on R ( R Core Team, 2022 ; Therneau & Atkinson, 2023 ). Different
values for the decision tree parameters, such as maximum depth and minimal records
per node, were tested to optimize accuracy and sensitivity.
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