Abstract
Background: Endometriosis is a common disease. The most widely used staging system of endometriosis is the
revised American Fertility Society classification (r-AFS classification) which has limited predictive ability for
pregnancy after surgery. The endometriosis fertility index (EFI) is used to predict fecundity after endometriosis
surgery. This diagnostic accuracy study was designed to compare the predictive value of the EFI with that of the
r-AFS classification for IVF outcomes in patients with endometriosis.
Methods
199 women with endometriosis receiving IVF treatment after surgery were analysis. The EFI score and
r-AFS classification in their ability to predict these IVF outcomes were compared in the same population. ROC curves
were used to analyse the predictive values of the EFI and r-AFS indices for clinical pregnancy, and their accuracies
were evaluated by sensitivity, specificity, and the Youden ’s index.
Results
The Area Under the Curve (AUC) of the EFI score (AUC = 0.641, Standard Error(SE) = 0.039, P = 0.001,
95% CI = 0.564-0.717, cut-off score = 6) was significantly larger than that of the r-AFS classification (AUC = 0.445,
SE = 0.041, P = 0.184, and 95% CI = 0.364-0.526). The antral follicle count, oestradiol level on day of hCG, number
of oocytes retrieved, number of oocytes fertilised, and number of cleaved embryos in the greater than or equal to
6 EFI score group was greater than that of the lower than or equal to 5 EFI score group, and the dose of
gonadotropin of the greater than or equal to 6 EFI score group were less than that in the lower than or equal to
5 EFI score group. Implantation rate, clinical pregnancy rate, and cumulative pregnancy rate in the greater than or
equal to 6 EFI score group were higher than in the lower than or equal to 5 EFI score group.
Conclusions
It suggests that the EFI has more predictive power for IVF outcomes in endometriosis patients than
the r-AFS classification. The clinical pregnancy rate was higher in patients with EFI greater than or equal to 6 score
than with EFI lower than or equal to 5 score.
Keywords
Endometriosis fertility index (EFI), Revised American Fertility Society (r-AFS) classification, Endometriosis,
In vitro fertilization (IVF), Clinical pregnancy rate
* Correspondence:
[email protected]
1Department of Obstetrics & Gynecology, Reproductive medicine centre, Sun
Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Xi Road,
Guangzhou 510120, P. R. China
Full list of author information is available at the end of the article
© 2013 Wang et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly cited.
Wang et al. Reproductive Biology and Endocrinology 2013, 11:112
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Background
Endometriosis is a common disease that occurs in 6 to
10% of reproductive-age women [1,2]. Approximately 25
to 50% of infertile women have endometriosis, and 30 to
50% of women with endometriosis are infertile [3].
Today, the most widely used staging system of endomet-
riosis is the revised American Fertility Society classifica-
tion (r-AFS classification) [4,5]. The r-AFS classification
is used to predict the recurrence potential of endometri-
osis after surgery. However, it has limited predictive abil-
ity for pregnancy after surgery. Adamson and Pasta
suggested that the r-AFS classification depends mainly
on morphological descriptions [6], whereas Vercellini
et al. observed no association between the endometriosis
stage or lesion type and lesion site and the cumulative
probability of pregnancy [7].
The endometriosis fertility index (EFI), proposed by
Adamson and Pasta in 2010, is used to predict fecundity
after endometriosis surgery [8]. In addition to providing
a detailed score to the appendix (fallopian tubes, fim-
briae of fallopian tubes, ovaries) by calculating the least-
function scores, the EFI also combines conception-
related factors such as age, duration of infertility, and
gravidity history. The EFI contains all of the components
of the r-AFS stage score, but the r-AFS score includes
only 20% of the EFI score. However, the EFI does not
consider whether the patient has received in vitro fertil-
isation (IVF) treatment after endometriosis surgery [9].
Until now, there is no report on the evaluation of IVF
outcomes and embryo quality by the EFI score after
endometriosis surgery, and no report was on the com-
parison of the EFI score with the r-AFS classification in
the prediction of IVF outcome. This study aimed to
compare the predictive value of EFI score with that of r-
AFS classification in the same population of women with
endometriosis who had received IVF treatment. We per-
formed a retrospective analysis of the case histories, op-
erative records, and the available information on embryo
quality, implantation rate, and pregnancy rate of infertile
women who had received IVF treatment after endomet-
riosis surgery.
Methods
Study population and design
The study was conducted after receiving Institutional
Review Board approval. Patients were provided with
counseling, and signed consents were obtained.
A total of 199 women of reproductive age who had
endometriosis and received their first cycle of IVF treat-
ment between January 2008 and July 2012 were enrolled
in this study. All cases had a histological diagnosis of
endometriosis and received laparoscopic surgery before
IVF treatment. Patients who failed to get pregnant in at
least the first 6 months after laparoscopic surgery,
although they had intercourse at least twice a week, were
eligible to receive IVF –embryo transfer (ET) treatment.
The results of semen examination of patients ’ husbands
were within the World Health Organization (WHO) ref-
erence range [10]. No couple used any contraception. In
addition, the patients did not receive any ovulation
stimulation treatment within 6 months before the IVF
treatment. The exclusion criteria (determined by lapar-
oscopy, ultrasound examination, and hormonal tests)
were uterine myoma, adenomyoma, congenital struc-
tural abnormalities of the reproductive tract, pelvic tu-
berculosis, ovarian tumour, polycystic ovary syndrome,
hyperprolactinaemia, adrenal disease, thyroid disease or
other endocrine disease, and male infertility.
r-AFS classification method
According to the standards of r-AFS classification (1985
and 1996) [4,5] the lesion score and total score were cal-
culated based on a retrospective analysis of the surgery
report in the hospital medical records. The endometri-
osis stage of each patient was classified as well. We ob-
tained institutional review board approval for retrieving
the laparoscopic surgery records and the IVF data.
EFI score
The EFI score was calculated according to the EFI devel-
oped by Adamson and Pasta [8]. It includes the following
clinical and surgical factors (Figure 1): age, duration of in-
fertility (years), pregnancy history, least-function (LF) score
(including fallopian tubes, tubal fimbriae, and ovaries; LF
score = the least score of the left side + the least score of the
right side; if any ovary was absent, the LF score was ob-
tained by doubling the LF score of the contralateral side), r-
AFS score of the lesion, and total r-AFS score. Figure 1
shows Rating scale of the least-function score and the
Endometriosis Fertility Index
Ovarian stimulation, insemination, and IVF treatment
The prolonged gonadotropin-releasing hormone agonist
protocol was performed as follows. The patients underwent
pituitary down-regulation through an intramuscular injec-
tion of 3.75 mg of triptorelin acetate (Diphereline; Ipsen
Pharma Biotech. France) [11,12]. Twenty-eight to 35 days
later, the patients were given a second injection of 1.25 mg
(one third of Diphereline
W) of triptorelin acetate. Twenty-
one to 28 days later, the patients were given a third injec-
tion of 0.93 mg (quarter of one DipherelineW)o ft r i p t o r e l i n
acetate. Then, 1 week later, recombinant follicle-stimulating
hormone (rFSH) was used to stimulate follicle develop-
ment. The initial dose of rFSH (Gonal-F,75 IU/per amp,
Merck Serono, Geneva, Switzerland) was 150 –300 IU/day,
depending on the antral follicle count (AFC), patient age,
and basal serum level of FSH. Follicle development
was monitored under transvaginal ultrasound guidance.
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Recombinant human chorionic gonadotropin (hCG)
(Ovidrel, Serono) (250 mg) w as administered subcutane-
ously when two or more follicles ≥18 mm in mean diam-
eter were present. Oocytes were retrieved by puncture of
the vaginal sac guided by transvaginal ultrasound 35 to
36 hours after hCG administration [13]. Insemination was
performed with 150,000 motile sperms cells/mL, always be-
tween 14:00 and 15:00 on the day of oocyte retrieval. Fertil-
isation was assessed 16 to 18 hours after insemination by
searching the oocytes for evidence of pronucleus formation
and a second polar body. Each embryo was incubated in a
separate droplet of G1 medium (VitroLifeW,S w e d e n)c o v -
ered with paraffin oil (VitroLifeW,S w e d e n) .
Embryo transfer was performed on the third day after
retrieval, and the luteal phase was supplemented with in-
jection of 40 mg of progesterone/day. Biochemical preg-
nancy was confirmed by measuring serum β-hCG on the
14th day after transfer. Clinical pregnancy was con-
firmed by the presence of a gestational sac and foetal
heart beat on the 30th to 35th day after transfer.
Figure 1 Rating scale of the least-function score and the Endometriosis Fertility Index. Note: The Table is from Adamson GD, Pasta DJ.
Endometriosis fertility index: the new, validated endometriosis staging system. Fertil Steril. 2010. 94(5): 1609 –1615 [8]. Copyright 2010, with
permission from Elsevier.
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Embryo evaluation
Fertilisation and pronuclear morphology were assessed
16–18 hours after insemination. Zygotes were checked
for the number, size, and position of the pronuclei (PN)
as well as the number and location of the nucleolar pre-
cursor bodies within the PN, as described previously by
Scott et al [14].
The assessment on days 2 and 3 was performed as fol-
lows. Morphologic assessments were always performed
at the same time (between 8:00 am and 9:30 am). The
embryos were identified as grade I (good quality) if they
had either 2 –4 blastomeres of equal size and less than
20% fragmentation on day 2 or 7 –8 blastomeres of equal
size and less than 20% fragmentation on day 3. The em-
bryo transfer was performed on the third day after oo-
cyte collection [15]. Three embryos were transferred in
the patients who were 35 years or older, and one or two
embryos were transferred in the patients who were
younger than 35 years. Clinical pregnancy was deter-
mined by the presence of a gestational sac and heart
beat by a transvaginal ultrasound performed on the 30
th
to 35 th days after the embryo transfer. The culture
medium was G5 series(VitroLife W, Sweden).
Hormone assays
Blood samples were obtained from each patient with
regular menstruation prior to the initiation of a stimula-
tion cycle, at 9:00 am-10:00 am during days 2 to 4 of the
menstrual cycle. A Beckman Coulter UniCel DxI 800
and the associated reagents (Beckman Coulter, Los
Angeles, USA) were used to determine the serum sex
hormone levels (basal FSH, basal luteinising hormone,
basal oestradiol) by chemiluminescence.
Data analysis and statistical methods
Estimation of sample size: To compare the EFI score
and r-AFS classification on the fecundity and IVF out-
comes, we used a diagnostic test to estimate the sample
size. Because the two indices would be used on the same
population, we used the EFI score to calculate the sam-
ple size. The pregnancy state after IVF was the gold
standard, and positive meant pregnancy and negative
meant non-pregnancy.
A total of 161 cases were collected from January 2008
to December 2011, who were diagnosed with endometri-
osis and received IVF treatment after laparoscopy. After
the area under the receiver operating characteristic
curve (AUC ROC) for EFI score was calculated, the cut-
off score was 6. Therefore, the 161 cases were divided
into two groups, a ≤5 score group and a ≥6 score group.
We next calculated the necessary sample size as the fol-
lowing formula Formula for sample size estimation).
To avoid excessive variability and minimise bias, we
paid close attention to the following before calculating
the sample size. Sample drawing: the non-pregnant
women with endometriosis were enrolled 6 months after
laparoscopic surgery if they had requested IVF treat-
ment. The gold standard of the diagnostic test was ‘preg-
nancy’. We chose an accuracy index α = 0.05, power =
90%, and a bilateral variability test. All the surgeries were
performed by three highly experienced gynaecologic sur-
geons who worked in the same hospital and the assess-
ments of the endometriosis classification staged were
also performed by these three surgeons. They had con-
cordant opinions and judgments of endometriosis traits.
The scores from their operation records were
comparable.
Formula for sample size estimation [16]:
n ¼
Z1−a=2
ffiffiffiffiffi ffi2/C22pp þ Z1−β
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi
2 p1−pðÞ p1−pðÞ =/C22p
p
p1−p2
() 2
p1 ¼ a þ b
N
p2 ¼ a þ b
N
p ¼ a
N
/C22p ¼ p1 þ p2−2p
2
Data collection: We performed a retrospective analysis
of the operation records and the case records from the
medical record archive file, medication doses during IVF
treatment, number of oocytes retrieved, fertilisation rate,
embryo development, and pregnancy rate.
Data calculation: The sample size (n = 196) was deter-
mined by the data in Table 1 and above formula for sam-
ple size estimation [16,17]. Table 1 shows sample size
estimation using the diagnostic test.
After the sample size was determined, the cases were
continuously collected until 31 July 2012. A total of 199
cases were enrolled. ROC curves were used to analyse
the predictive values of the EFI and r-AFS indices for
clinical pregnancy, and their accuracies were evaluated
by sensitivity, specificity, and Youden ’s index. The ROC
analysis was used to calculate the cut-off point of each
index for successful prediction. The ROC of the EFI
score and the ROC of r-AFS classification were first
drawn in SPSS v20.0, and the cut-off point of each diag-
nosis was calculated. The AUC of the EFI score and the
AUC of r-AFS were compared. The cases were divided
Table 1 Sample size estimation using the diagnostic test
EFI
score
Pregnancy Total
Positive Negative
≥6 score a(44) b(47) a + b(91)
≤5 score c(23) d(47) c + d(70)
Total a + c(67) b + d(94) N(161)
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into two groups according to the EFI score ( ≤5 and ≥6).
The same populations were divided into two groups ac-
cording to the r-AFS classification (stage I-II and stage
III-IV). The goodness of fit of each diagnostic system
was assessed by the AUC ROC, in which a higher AUC
value indicated a better fit to predict implantation. Sig-
nificance was defined as a two-tailed P value less than
0.05.
The statistical analyses were performed using SPSS
v20.0 software. The normally distributed data of quanti-
tative variation and continuous variables are reported as
the mean ± standard deviation and were compared using
the t-test. The non-normally distributed data are re-
ported as the median (inter-quartile range) and were
compared using the Mann –Whitney test. Comparison
between the two EFI groups and between the two r-AFS
groups was performed with the chi-squared test for cat-
egorical variables or the t-test and Mann –Whitney test
for continuous and ordinal variables. All tests were two
tailed, and P < 0.05 was considered statistically signifi-
cant. Whenever appropriate, writing and analysis
followed the STARD [18].
Results
Baseline and cycle characteristics of the 199 patients
who were enrolled in the study (Table 2):
The average age was 32.0 ± 4.2 years. The regular men-
struation period was 27 to 33 days and lasted 5 to 7 days.
The average body mass index (BMI) was 20.2 kg/m 2.
Fifty-two patients had received ovarian stimulation ther-
apy once before laparoscopic surgery, and 135 had pri-
mary infertility and 64 secondary infertility. Five patients
with secondary infertility had experienced an ectopic
pregnancy, and three of these five cases had a history of
elective abortion before ectopic pregnancy. Fifteen pa-
tients had once spontaneous miscarriage, and 44 had re-
ceived an elective abortion. All 199 women had
attempted to conceive by natural methods and were un-
successful after 6 months and so requested IVF treat-
ment. The outcome of IVF was that 85 women achieved
pregnancy in the first, fresh cycle, and 107 women
achieved pregnancy after a fresh cycle and a freeze-thaw
cycle. The cumulative pregnancy rate was 53.8%.
ROCs for pregnancy diagnosis of the EFI and r-AFS
indices
The 199 fresh IVF-ET cycles were analysed in this retro-
spective study. In fresh IVF-ET cycles, 85 cycles resulted
in pregnancy and 114 cycles resulted in non-pregnancy.
The EFI showed an AUC = 0.641, Standard Error (SE) =
0.039, P = 0.001, 95% Confidence Interval (CI) = 0.564-
0.717, cut-off score = 6 score, sensitivity =71.8%, specifi-
city = 52.6%, and Youden index = 0.244 (Youden index =
sensitivity + specificity-1). The r-AFS classification showed
an AUC = 0.445, SE = 0.041, P = 0.184, and 95%
CI = 0.364-0.526.
As shown in “ROC of pregnancy in fresh IVF cycles
for the EFI score and r-AFS classification ” subsection,
the AUC of the EFI score was larger than that of the
r-AFS classification. This suggests that the EFI score had
a greater ability to predict IVF pregnancy outcome than
r-AFS.
Using the cut-off EFI score of 6, we compared each
IVF item between the ≤5 EFI score group and the ≥ EFI
6 score group. We performed a similar comparison for
each IVF item between the r-AFS stage I-II group and
the stage III-IV group. Figure 2 shows ROC of pregnancy
in fresh IVF cycles for the EFI score and r-AFS
classification.
Comparison between the two EFI score groups and be-
tween the two r-AFS stage groups (Tables 2 and 3).
First, baseline and IVF cycle characteristics of the pa-
tients in the two EFI groups were compared by the t-test
and Mann –Whitney test. Then, the medication doses
during IVF treatment, embryo development, and IVF
outcomes were analysed. Patient age and duration of in-
fertility are included in the EFI score, and the patient
age in the ≤5 score group was greater than that in the
≥6 score group. The duration of infertility in the ≤5
score group was longer than that in the ≥6 score group.
Among the factors we used to evaluate the ovarian re-
serve in the EFI score, the AFC in the ≥6 score group
was greater than that of the ≤5 score group, and the
starting dose and total dose of Gn of the ≥6 score group
were less than those of the ≤5 score group. The effect-
iveness of ovarian stimulation in the ≥6 score group was
better than that in the ≤5 score group. The oestradiol
level of the day of hCG and the number of oocytes re-
trieved were greater in the ≥6 score group. The number
of two-pronucleus (2PN) fertilisations and the number
of cleavages from 2PN were greater in the ≥6 score
group. Implantation rate, clinical pregnancy rate, and cu-
mulative pregnancy rate were also higher in the ≥6 score
group.
We next compared the various factors between the
r-AFS stage I-II and stage III-IV groups. There was no
significant difference between groups in the factors that
affect ovarian reserve, including basal FSH and AFC.
The number of oocytes retrieved and the number of fer-
tilisations were greater in the stage I-II group than in
the stage III-IV group. However, the availability of em-
bryos was lower in the stage I-II group. There were no
significant differences in implantation rate, clinical preg-
nancy rate, or accumulation rate of pregnancy between
the two groups.
Among the 199 cases, 386 embryos were transferred.
There were 53 cycles with singletons, 29 cycles with twin
pregnancies, and 3 cycles with triplet pregnancies.
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Table 2 Baseline and cycle characteristics of the patients
Characteristic Total EFI r-AFS
≤5 score ≥6 score t(z) P c I-II stage III-IV stage t(z) P d
No. of cycles 199 84 115 61 138
Average age(y)a 32.0 ± 4.2 33.3 ± 4.9 31.1 ± 3.3 3.789 0.000 32.5 ± 3.7 31.8 ± 4.4 1.085 0.279
Duration of infertility(y) b 5.0(3.0–7.0) 6.0(4.0 –9.0) 4.0(2.0-6.0) −3.893 0.000 5.0(3.5 –7.0) 4.0(2.0 –7.0) −1.176 0.240
BMI(kg/m2)b 20.2(18.8–21.7) 20.2 (18.2 –22.0) 20.3(18.9 –21.7) −0.374 0.708 20.6(19.1 –21.8) 20.0(18.5 –21.6) −1.013 0.311
bFSH(iu/L)b 8.1(6.7–9.9) 8.6 (6.9 –11.7 8.0(6.6 –9.3) −1.645 0.100 7.9(6.3 –9.3) 8.3(6.9 –11.0) −1.683 0.092
bLH(iu/L)b 3.8(2.7–5.5) 3.8(2.7 –5.3) 3.8(2.9 –5.6) −0.009 0.993 3.7(2.7 –5.5) 4.0(2.9 –5.5) −0.706 0.480
E2(ng/L)b 42.4(27.0–61.9) 47.4(29.7 –57.9) 42.0(27.3 –64.7) −0.957 0.339 42.0(22.9 –64.3) 45.9(27.1 –60.5) −0.864 0.388
Antral follicle count b 10(6.0–14.0) 8.5(6.0 –13.0) 11.0(8.0 –14.0) −2.212 0.027 10.0(8.0 –14.0) 9.5(6.0 –14.0) −1.662 0.097
E2 level on D HCG (ng/L)b 1987.2(1122.6–3369.1) 1661.3 (925.2 –3599.5) 2110.3(1239.8 –3334.0) −1.255 0.209 2352.6 (1331.7 –4241.5) 1796.9 (1012.2 –3251.3) −2.065 0.039
Start dose of Gn(iu/day) b 225.0 (150.0–300.0) 225.0(150.0 –300.0) 225.0(150.0 –225.0) −2.401 0.016 225.0 (150.0 –225.0) 225.0 (150.0 –300.0) −1.853 0.064
Duration of stimulation(d) b 10(9.0 ~ 12.0) 10(9.0 –12.0) 10(9.0 –12.0) −0.497 0.619 11(9 –11) 10(9 –12) −0.214 0.830
Total dose of Gn(iu) a 2286.6 ± 926.4 2439.3 ± 1076.8 2175.0 ± 785.3 −1.909 0.058 2169.6 ± 784.5 2338.3 ± 980.8 −1.186 0.237
Note: The Shapiro-Wilk test was performed to determine the normality of distribution. P >0.05 indicates the data followed a normal distribution.
aThe normally distributed data are presented as mean ± SD, including age and total dose of Gn. The t-test was performed to analyse statistical significance.
bThe non-normally distributed data are presented as median (25th-75th percentile). The non-parametric Mann –Whitney test was performed to calculate the Z-score.
cComparison between the two EFI score groups (score ≤5 vs score ≥6).
dComparison between the two r-AFS stage groups (stage I-II vs stage III-IV).
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Discussion
The relationship between r-AFS classification and
pregnancy rate in patients receiving IVF treatment after
laparoscopic surgery
The r-AFS classification depends on the results of lap-
aroscopic examination and laparotomy. The staging of
endometriosis requires the detailed observation and re-
cording of the site, number, size, and depth of the endo-
metriosis lesions, as well as the degree of adhesions, to
define the final score. The r-AFS score is mainly used to
assess disease severity and develop a post-operative
treatment plan. The diameter of a ‘chocolate cyst ’ in the
ovary plays a critical role in determining the r-AFS
score. For patients with endometriosis who want to be-
come pregnant, this staging method has limited ability
to predict future fertility after surgery [8]. Opoien et al.
[20]conducted a large retrospective study of r-AFS clas-
sification of endometriosis and the success rate of using
IVF/intracytoplasmic sperm injection in treating female
infertility due to fallopian tube disease. They found that
there was no difference in pregnancy rate or childbirth
rate between patients with different stages of endometri-
osis or fallopian tube diseases after patients with adeno-
myoma were excluded. Similarly, the present study
excluded patients with adenomyoma and only evaluated
the outcome of IVF in the treatment of infertility due to
fallopian tube disease. Our results show that there was
no statistical difference between the implantation rate
and the pregnancy rate in patients with different stages
of endometriosis, consistent with the above study. In
addition, the AUC ROC of r-AFS was 0.445, which was
not significant for diagnosis. Therefore, our data suggest
that the r-AFS classification can predict neither future
pregnancy in endometriosis patients nor the outcome of
IVF. We speculate that the EFI score maybe more sensi-
tive in predicting pregnancy because it not only con-
siders the size and number of lesions and the degree of
local adhesion but also consider other reproductive fac-
tors, such as age, infertility duration, or fallopian tube
and ovarian function.
The relationship between EFI score and pregnancy rate in
patients receiving IVF treatment after laparoscopic
surgery
In 2002, Fujushita et al. modified the AFS classification
of endometriosis by adding the TOP score, (fallopian
tubes, ovaries, peritoneum, and other factors) [21]. How-
ever, they did not consider the patient ’s age or other fac-
tors affecting pregnancy. Adamson and Pasta (2010)
further revised and updated the AFS classification sys-
tem. They prospectively collected detailed clinical and
surgical data of 579 patients with endometriosis and
analysed 275 variables associated with pregnancy,
thereby establishing the EFI. In addition, they confirmed
that the EFI had a close correlation with pregnancy rate
in 222 patients. In 2013, Tomassetti C et al. suggested
that the EFI could be used clinically to counsel infertile
endometriosis patients receiving reproductive surgery in
specialized centers about their post-operative conception
options [9]. However, their study did not include pa-
tients receiving IVF treatment after endometriosis sur-
gery. We believed that in the course of ovarian
stimulation for IVF treatment, it would be better to pre-
dict fertility after endometriosis surgery by comparing
the dosage of medication, number of oocytes retrieved,
embryo quality, implantation rate, and pregnancy rate in
different groups of EFI scores. Unlike the r-AFS classifi-
cation, the EFI objectively evaluates factors closely
Figure 2 ROC of pregnancy in fresh IVF cycles for the EFI score and r-AFS classification.
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associated with female fertility, such as fallopian tube,
tubal fimbria, and ovarian function. It incorporates the
LF score which can evaluate the reproductive potential
of pelvic organs and comprehensively includes several
Objective
factors, such as patient ’s age, duration of infer-
tility, and pregnancy history. According to our data, the
AUC ROC for embryo transfer during a fresh IVF cycle
was only 0.641 using the EFI score. Patients with a score
of 6 accounted for the largest proportion in our study.
Patients with a score ≥6 had a significantly higher preg-
nancy rate than patients with a score ≤5. This is slightly
different from the study of Adamson et al . According to
their study, patients with a score of 7 accounted for the
largest proportion [8]. Patients with scores of 8 –10 had
higher cumulative pregnancy rates than patients with
scores of 5 –7. A plausible explanation for this difference
is that the participants in the two studies used different
Methods
to conceive. The participants in our study were
patients receiving IVF treatment after surgery. There-
fore, the fallopian tube factors had little impact on the
outcome of their IVF treatment, which could have low-
ered the cut-off point in the EFI in comparison to the
patients who planned pregnancy naturally after the
surgery.
The EFI incorporates patient age and duration of infer-
tility. As shown in Table 2, no significant differences
were observed in the baseline BMI and basal sex hor-
mone levels between patients with EFI scores ≤5a n d ≥6.
The antral follicle count and the starting dose of Gn
were different between the two groups (total Gn dose
was also slightly different). This suggests that physicians
estimated the starting Gn dose based on BMI, basal sex
hormone levels, and antral follicle count in patients with
different EFI scores. Therefore, both starting and total
Gn doses were affected by oocyte reserve. The number
of oocytes retrieved was also relatively higher in the ≥6
score group. However, although the rates of available
embryos and top-quality embryos showed no significant
differences between groups, the implantation rate and
pregnancy rate were higher in the ≥6 score group, sug-
gesting that a score of 6 can be considered an appropri-
ate cut-off point when assessing EFI in endometriosis
patients. The pregnancy rate was also higher in patients
with score ≥6.
In summary, the EFI incorporates age and duration of
infertility; hence, it objectively evaluates the function of
reproductive organs better than r-ASF. It has a relatively
good predictive power for pregnancy outcomes for
Table 3 The embryos quality and outcome of IVF-ET
Characteristic EFI r-AFS
Total ≤5 score ≥6 score z( χ2)P c I-II stage III-IV stage z ( χ2) Pd
No. of cycles 199 84 115 61 138
No. of oocytes retrieved a 8.0(4.0–12.0) 6.0(3.0 –10.8) 9.0(5.0 –14.0) −3.071 0.002 9.0(5.0 –15.0) 7.0(3.0 –11.3) −2.454 0.014
No. of fertilization 5.0(3.0 –9.0) 4.0(2.0 –8.0) 6.0(4.0 –10.0) −3.292 0.001 6.0(4.0 –10.0) 5.0(2.8 –8.0) −2.493 0.013
No. of fertilization 2PN a 4.0(2.0-7.0) 3.5(1.0-7.0) 5.0(3.0 –8.0) −2.735 0.006 5.0(3.0 –9.0) 4.0(2.0-7.0) −1.851 0.064
Rate of 2PN fertilization b 1082/1834(59.0%) 414/676(61.2) 668/1158(57.7) 2.232 0.135 379/671(56.5) 703/1163(60.4) 2.764 0.096
Rate of polypronucleus zygote(%) b 154/1834(8.4%) 51/676(7.5) 103/1158(8.9) 1.012 0.314 70/671(10.4) 84/1163(7.2) 5.698 0.017
No. of cleavage from 2PN 4.0(2.0 –7.0) 3.0(1.0-6.0) 5.0(3.0 –7.0) −2.980 0.003 5.0(3.0 –9.0) 4.0(2.0 –6.0) −2.082 0.037
Cleavage rate from 2PN zygote b 1045/1236(84.5) 391/465(84.1) 654/771 (84.8) 0.121 0.728 372/449(82.9) 673/787(85.5) 0.696 0.404
Availability of embryos(%) b 924/1306(70.8) 347/496(70.0) 577/810(71.2) 0.242 0.623 310/475(65.3) 614/831(73.9) 10.862 0.001
Top quality embryos(%) b 139/1045(13.3) 53/391(13.6) 86/654(13.1) 0.035 0.852 52/372(13.9) 87/673(12.9) 0.230 0.632
No. Of embryos transferred 2.0(2.0 –2.0) 2.0(1.0 –2.75) 2.0(2.0-2.0) −1.920 0.055 2.0(2.0 –3.0) 2.0(2.0 –2.0) −2.349 0.019
Implantation rate(%)b 120/386(31.1) 37/148(25.0) 83/238(34.9) 4.153 0.042 43/131(32.8) 77/255(30.2) 0.279 0.597
Clinical pregnancy rate(%) b 85/199(42.7) 24/84(28.6) 61/115(53.0) 11.881 0.001 31/61(50.8) 54/138(39.1) 2.362 0.124
Accumulation rate of pregnancy b 107/199(53.8) 33/84(39.2) 74/115(64.3) 12.266 0.000 37/61(60.7) 70/138(50.7) 1.678 0.195
Note: Rate of 2PN fertilisation = number of 2PN zygotes/number of oocytes retrieved; rate of polypronucleus zygotes = number of polypronucleus zygot es/number
of oocytes retrieved; rate of cleavage from 2PN = number of cleavages from 2PN/number of zygotes; embryo availability rate = (number of frozen embryos +
number of ET embryos)/number of cleavage-stage embryos; top-quality embryos = number of top-quality embryos/number of cleavage-stage
embryos from 2PN; implantation rate = number of gestational sacs/number of ET embryos; clinical pregnancy rate = number of pregnancy cycles/number o f
embryo transfer cycles; accumulation rate of pregnancy = number of pregnancy cycles for fresh transferred embryos or freeze-thawed transferred emb ryos in a
single cycle of ovulation stimulation/number of cycles for ovulation stimulation.
Definition of top-quality embryo: seven to eight blastomeres of equal size and less than 10% fragmentation can be seen on day 3 ( Alpha Scientists in Rep roduct-
ive Medicine and ESHRE Special Interest Group of Embryology, 2011) [ 19].
aThe non-normally distributed data are presented as median (25th-75th percentile). The non-parametric Mann –Whitney test was performed to calculate
the Z-score.
bThe chi-squared test was performed to compare rates between groups.
cComparison between the EFI score ≤5 and ≥6 groups. (score ≤5 vs score ≥6).
dComparison between the r-AFS stage I-II and stage III-IV groups (stage I-II vs stage III-IV).
Wang et al. Reproductive Biology and Endocrinology 2013, 11:112 Page 8 of 10
http://www.rbej.com/content/11/1/112
patients receiving IVF-ET treatment after laparoscopic
surgery. The implantation rate and pregnancy rate were
higher in patients with EFI score ≥6 than those with EFI
score ≤5. These data provide an important reference to
predict the post-operative pregnancy outcome for endo-
metriosis patients, which is the most valuable conclusion
of this study.
This study has several limitations. First, there were no
significant differences in the rate of available embryos or
the rate of top-quality embryos between EFI groups or
between r-ASF groups. However, the implantation rate
and pregnancy rate were significantly different between
groups, suggesting that endometriosis can not only affect
the ovaries and quality of oocytes but also the uterine
endometrium for embryo implantation. A more convin-
cing support of the implantation environment theory
would be if we followed up the development of blasto-
cysts by evaluating day 5 and day 6 blastocysts after im-
plantation. Second, we used pregnancy/non-pregnancy
as the relevant outcome to calculate the sample size
without considering fertilisation or available embryos.
Therefore, as shown in Table 3, the reason the r-AFS
stage III-IV group had a low rate of polypronucleus zy-
gotes and a high number of available embryos were that
the r-AFS stage I-II group was relatively small. Third,
this study failed to demonstrate whether starting an IVF
cycle earlier after laparoscopic surgery can improve the
specificity and sensitivity of the EFI. Fourth, severe uter-
ine abnormalities, such as uterine fibroids, adversely
affect pregnancy. However, the EFI does not incorporate
such uterine conditions, a limitation of the scoring sys-
tem. We acknowledge the impact of uterine conditions
on pregnancy and the fact that EFI does not incorporate
them. Therefore, to avoid any bias, we only included
cases in this study that did not present with significant
uterus fibroids as evaluated by laparoscopy and ultra-
sound. Finally, this was a retrospective study with the
calculated cut-off EFI score of 6. Although the included
sample size achieved the requirement for diagnostic
tests, it will be necessary to conduct randomised, pro-
spective studies with large numbers of patients to valid-
ate and evaluate the EFI and its cut-off point. It is better
to analyse pregnancy probability in each stage of the EFI
with a larger sample size.
Conclusions
It suggests that the EFI has more predictive power for
IVF outcomes in endometriosis patients than the r-AFS
classification. The clinical pregnancy rate was higher in
patients with EFI ≥6 score than with EFI ≤5 score.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
WJW conceived the idea and design of the project, collected all cases, did
the statistical analysis, drafted the manuscript, edited the final document and
acquired funding. RQL collected cases. TFF provided access to the statistical
analysis and patient data. LLH and NYO collected cases. LAW collected cases
and performed laparoscopic surgery. QXZ provided access to the statistical
analysis. DZY acquired funding. All authors read and approved the final
manuscript.
Acknowledgments
This study was supported by the Science Research of Population and Family
Planning Commission of Guangdong Province in China (Grant No. 2009231),
the Science Technology Research of development Project of Guangdong
Province (Grant No. 2010B031600043) and the Science Technology Research
Project of Guangzhou city (2010Y1-C431). The authors wish to express their
gratitude to G. David Adamson, MD for editing and giving them permission
to use the updated version of the EFI, and to Meiqing Xie, MD, PhD, and
Shunjia Hong, MD, PhD, for their laparoscopic surgery, and to Huang Baoyun
for data collection, and to John P. , and Suja T. for English-language edit.
The manuscript was also edited by AJE (American Journal Experts).
Author details
1Department of Obstetrics & Gynecology, Reproductive medicine centre, Sun
Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Xi Road,
Guangzhou 510120, P. R. China. 2New Hope Fertility Center, Av.De Praia
Grande No.409, China Law Building, 3 Andar BC, Macau, P. R. China.
3Endocrinology division, Department of Obstetrics & Gynecology, Sun
Yat-Sen Memorial Hospital, Sun Yat-Sen University, No.107 Yanjiang Xi Road,
Guangzhou 510120, P. R. China.
Received: 31 August 2013 Accepted: 7 December 2013
Published: 11 December 2013
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Cite this article as: Wang et al. : Endometriosis fertility index score
m a y b em o r ea c c u r a t ef o rp r e d i c t i n gt h eo u t c o m e so fin vitro
fertilisation than r-AFS classification in women with endometriosis.
Reproductive Biology and Endocrinology 2013 11:112.
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