Methods
This multicenter retrospective cohort
study was conducted in eight typical IVF centers in China, including
the First Affiliated Hospital of Anhui Medical University (AH), Peking
University People’s Hospital (BJ), the First Affiliated Hospital
of Guangxi Medical University (GX), the Third Affiliated Hospital
of Zhengzhou University in Henan Province (HN), the First Hospital
of Lanzhou University (LZ), Women and Children’s Hospital of
Qingdao University (QD), Tianjin Central Hospital of Gynecology Obstetrics
(TJ), and Yantai Yuhuangding Hospital (YT). The clinical records of
IVF-ET with address information between January 2012 and December
2021 were extracted. Inclusion criteria were (1) between 18 and 50
years, (2) body mass index (BMI) between 15–40 kg/m 2 and (3) number of transferred embryos ≤2; the exclusion criteria
were (1) use donor egg or sperm and (2) underwent preimplantation
genetic testing, in vitro maturation (IVM), or later
intracytoplasmic sperm injection. For BMI with values of 40 kg/m 2 , we empirically consider that their data were
recorded with error, which were confirmed with the health care workers
in the eight centers. We consider that PM 2.5 can also cause
adverse effects on sperm quality, which may subsequently affect the
success of IVF-ET. Unfortunately, our current data cannot distinguish
the partner’s PM 2.5 exposure level by assuming that
their PM 2.5 exposure is overall similar owing to their
shared living conditions. For the couple using donor sperm, the PM 2.5 exposure profiles of the donors are unclear. This could
introduce some uncertainties that might affect the study results.
Therefore, we excluded individuals using donor sperm from our study.
The flowchart of cohort creation is show in Figure S1 . This study was approved by the Ethical Review Committee
of Peking University People’s Hospital (No.: 2021PHB358-001).
We extracted transplantation
records from the electronic medical record systems of eight centers.
All data were anonymous, and only the admission number was used to
match clinical records during the analysis. The information extracted
from the medical records system includes general demographic characteristics,
infertility diagnosis factors, treatment protocols, and treatment
outcomes. The potential covariates we processed include female age,
height, weight, educational level, employment status, infertility
type, duration of infertility, causes of infertility, stimulation
protocol, fertilization method, type of embryo transfer, number of
transferred embryos, embryo transfer date, and residential address.
The variable descriptions are provided in Table S2 .
Two reproductive outcomes linked to the VEP were
included: (1) biochemical pregnancy (BP), defined as women with positive
human chorionic gonadotropin (hCG) test at 14 days after embryo transfer,
and (2) clinical pregnancy (CP), defined as women with the presence
of a gestational sac in the uterine cavity at 35 days after embryo
transfer, as detected by ultrasonography.
We obtained the national
PM 2.5 data of 1-km and 10-km resolution during 2011–2021
from the open database of Tracking Air Pollution in China (TAP, Web
site: http://tapdata.org.cn/ ), the detailed methods of which were described previously. 23 − 25 We got the longitude and latitude of the study object’s residential
address and hospital’s address using Baidu Map ( http://api.map.baidu.com ). PM 2.5 concentrations at the grid points closest to the residential
address were used to characterize the exposure level. Average PM 2.5 concentrations at the grid points within the 5, 10, and
20 km buffer of residential address were used for sensitivity analysis.
We focused on the effect of the PM 2.5 exposure in 1 week
before and after the day of embryo transfer, with a time-period of
2 weeks in total. The time points and periods for assigning PM 2.5 exposure are depicted in Figure 2 A. The PM 2.5 concentration in
the embryo transplant day denoted as D0, while the average PM 2.5 concentrations in the sixth to the first days before the
embryo transplant day were denoted as D6 B to D1 B , and from the first to the sixth day after this day for each participant
were denoted as D1 A to D6 A , of which the total
period was 13 days (P13). To investigate the accumulative effect,
the average PM 2.5 concentrations during the periods from
the sixth, fifth, ..., first days to the embryo transplant day and
from this day to the first, second, ..., sixth days are denoted as
P6 B , P5 B , ..., P1 B and P1 A , P2 A , ..., P6 A , respectively.
To screen
the sensitive exposure time window, a total of seven periods of the
fresh cycle and five periods of the frozen cycle were defined according
to the ovum development and IVF-ET treatment processes ( Figure 4 A,B). 85 days before oocyte
retrieval to day of oocyte retrieval, day of oocyte retrieval to embryo
transfer, day of embryo transfer to hCG-test, day of hCG-test to transvaginal
ultrasound test, 85 days before oocyte retrieval to hCG-test, and
85 days before oocyte retrieval to transvaginal ultrasound test are
denoted as P1 to P7 for fresh cycles. Thirty days before embryo transfer
to embryo transfer, day of embryo transfer to hCG-test, day of hCG-test
to transvaginal ultrasound test, 30 days before embryo transfer to
hCG-test, and 30 days before embryo transfer to transvaginal ultrasound
test are denoted as P1* to P5* for frozen cycles.
The number of lost-to-follow-up
subjects in this study was 349, accounting for approximately 0.2%
of the total population. The missing data for covariates accounts
for a very small percentage, of which the highest proportion is <0.5%
for the variable of employment status. Therefore, we did not impute
missing variables and conducted the analyses throughout our study
using observations with complete clinical records. First, a log-binomial
regression model was used to assess the association between PM 2.5 and IVF-ET outcomes in each center. The covariates were
included in the model due to their clinical relevance to the outcomes
as the following: female age, body mass index (BMI), educational level,
employment status, infertility type, duration of infertility, causes
of infertility, stimulation protocol, fertilization method, type of
embryo transfer, number of transferred embryos, and the nonlinear
effect of temperature as modeled by a 3 degree-of-freedom (df) natural
spline, seasonality as a 4 df natural spline of embryo transfer month,
and longtime tendency as a 2 df natural spline of embryo transfer
year. Second, the center-specific associations of PM 2.5 exposure with IVF-ET outcomes for the eight centers were combined
by meta-analysis using the random-effect model, resulting in an overall
estimation. Generalized estimating equation (GEE) model with the binomial
link function of “logit” were used to assess the association
between PM 2.5 and IVF-ET outcomes in each center, which
can reduce the effect of the nonindependent observation of different
transplant cycles for a woman on the association analysis. 26 However, due to the high prevalence of the concerned
outcomes, the odds ratio (OR) obtained using the GEE method can overestimate
the effect, which can be seen in most of the IVF centers ( Figure S3 ). Here, we compared the OR from the
GEE and general liner regression (GLR) with the binomial link function
of “logit”. They overall have minor differences; thus,
we adopted GLR with binomial link function of “log”
to estimate the RR. Overall, the RR was overall lower than OR obtained
by using the logit link function of GLR and GEE.
Stratified
analyses by endometriosis (yes, no), tubal factor (yes, no), ovulatory
(yes, no), diminished ovarian reserve (yes and no), age (18–35
and >35 years), type of embryo transfer (fresh, frozen), and number
of transferred embryos (1 and 2) were performed in each center. The
center-specific subgroup associations of PM 2.5 exposure
with IVF-ET outcomes for the eight centers were combined by a random-effect
model of meta-analysis to obtain the overall effect estimates. Z -test were used to test the statistical difference between
subgroups in the association between PM 2.5 exposure and
IVF-ET outcomes. 27 For the sensitivity
analysis, we compared the reliability of the associations by using
PM 2.5 data from two different resolutions (1-km and 10-km).
All statistical analyses were performed using R software, version
4.2.1; R packages “gee” and “glm” were
used to fit model; package “meta” was used to pool estimates.
A two-sided test P value <0.05 was considered
statistically significant.
Results
A total of 86,817 patients who underwent IVF-ET with 141,040 cycles
were finally included in this study ( Figure S1 ), and the geographical distribution of their living addresses is
depicted in Figure 1 A, as well as the number of cycles during the survey period by year
( Figure 1 B) and month
( Figure 1 C). The characteristics
of the included 141,040 transfer cycles are summarized in Table 1 , and Table S3 provides information for the individual
centers. Overall, the missing values took a very small part (<0.5%).
Among them, AH contributed the highest number of cycles (27%), followed
by HN (22%), TJ (16%), GX (11%), YT (11%), LZ (7.1%), BJ (3.0%), and
QD (3.3%). The average female age was 31.7 ± 4.9 years. The majority
(61%) of patients had normal BMI of 18.5–24 kg/m 2 and almost half of them had a college degree or above. The proportions
of primary and secondary infertility were nearly equal. The average
duration of infertility was 3.85 ± 3.03 years. As for causes
of infertility, the proportions of individuals with tubal factors,
ovulation disorders, diminished ovarian reserve, and endometriosis
were 68%, 15%, 12%, and 6.2%, respectively. For treatment protocols,
60% of cycles underwent a long stimulation protocol, and 68% underwent
IVF fertilization. More patients chose fresh cycles (64%) and transferred
two embryos (67%). The incidences of BP and CP of all eight centers
were 55% and 50%, respectively ( Table S4 ).
Basic survey information. (A) Geographical distribution of the
included patients; (B and C) number of cycles over year and month,
respectively; (D) average PM 2.5 concentration during the
survey period (2012–2021). The national PM 2.5 data
of 1-km resolution during 2012–2021 from the open database
of Tracking Air Pollution in China ( http://tapdata.org.cn/ ).
Number, or number (percent).
Mean value (standard deviation,
SD).
Missing information.
There were
eight centers, including the First Affiliated Hospital of Anhui Medical
University (AH), Peking University People’s Hospital (BJ),
the First Affiliated Hospital of Guangxi Medical University (GX),
the Third Affiliated Hospital of Zhengzhou University in Henan Province
(HN), the First Hospital of Lanzhou University (LZ), Women and Children’s
Hospital of Qingdao University (QD), Tianjin Central Hospital of Gynecology
Obstetrics (TJ), and Yantai Yuhuangding Hospital (YT).
The average PM 2.5 distributions during
the survey period
in China are provided in Figure 1 D, and its seasonal variations are in Figure S2 . The average ambient PM 2.5 concentrations
of the patients were approximately 47 μg/m 3 , of which
TJ has the highest PM 2.5 concentration (58 μg/m 3 ), followed by HN (57 μg/m 3 ), AH (51 μg/m 3 ), BJ (41 μg/m 3 ), YT (36 μg/m 3 ), QD (35 μg/m 3 ), GX (31 μg/m 3 ),
and LZ (27 μg/m 3 ) ( Table S5 ).
The pooled
associations of the eight IVF centers between PM 2.5 and
VEP are shown in Figure 2 B–E. There was negative association
between the accumulated PM 2.5 exposure during P13 (i.e.,
2 weeks near the day of embryo transfer, Figure 2 A) and successful odds of BP with the RR
(95% confidence level, 95% CI) of 0.999 (0.997–0.999) ( Figure 2 B), of which the
most sensitive exposure day was in D6 B (i.e., the sixth
before the embryo transplant day, Figure 2 A) ( Figure 2 C). But for CP, no statistically significant association
with the PM 2.5 exposure during these periods was found,
while the RR was overall <1, indicating the hazardous effect of
PM 2.5 ( Figure 2 D,E). The detailed effects in the eight locations are provided
in Figures S4 and S5 . To compare the effect
of PM 2.5 spatial distribution resolution, the pooled association
of PM 2.5 concentration with the resolutions between 1
and 10 km with VEP were comparable ( Figure S6 ). Their overall results were consistent, except for BP during P13
with the RR (95% CI) of 0.998 (0.995–1.000), which has larger
variation. This suggested that high-resolution PM 2.5 distribution
may be more appropriate for the exposure assessment. We suspected
that patients may stay around the hospital for the transport convenience
during the period of controlled ovarian hyperstimulation. We thus
used hospital-address-based PM 2.5 exposure to assess their
associations. This revealed that the results were overall consistent
with those using patients’ self-reported addresses ( Figure S7 ). In addition, the RRs in the association
of PM 2.5 exposure with the failure odds of BP and CP both
increased with large variation when using the hospital address to
assign the PM 2.5 concentration.
Pooled associations of
PM 2.5 exposure in various exposure
period or day with the success odds of biochemical pregnancy and clinical
pregnancy. The results are presented as relative risk for every 10
μg/m 3 of PM 2.5 increase. (A) The time
points and periods for assigning PM 2.5 exposure of patients.
The embryo transplant day is denoted as D0, while the average PM 2.5 concentrations in the 6th to the 1st days before the embryo
transplant day to the transplant day are denoted as D6 B to D1 B , and from the 1st to the 6th day after the embryo
transplant day for each patient are denoted as D1 A to D6 A , of which the total period was 13 days. The average PM 2.5 concentrations during the periods from the 6th, 5th, ...,
and 1st days to the embryo transplant day and from the embryo transplant
day to the 1st, 2nd, ..., and 6th days are denoted as P6 B , P5 B , ..., P1 B , and P1 A , P2 A , ..., and P6 A , respectively. The period from D6 B to D6 A is denoted as P13. Two very early pregnancy
includes (B and C) biochemical pregnancy and (D and E) clinical pregnancy.
The related associations based on the exposure assessments of the
average period and daily time are depicted in left and right panels,
respectively. Red point indicates statistical significance with P value <0.05.
We further conducted stratification analysis to
investigate the
vulnerable women during the concerned exposure period ( Figure 3 ). The results for BP and CP
were overall consistent. There were significant interaction effects
between PM 2.5 exposure and the type of embryo on CP and
BP, as well as for those between PM 2.5 exposure and endometriosis-induced
infertility. This suggested that the women in fresh cycles tended
to be more sensitive to the hazardous effects of PM 2.5 exposure.
PM 2.5 exposure has a stronger association with the failure
odds of BP and CP among the women without endometriosis diseases.
No significant interaction effects were found between PM 2.5 exposure and the other confounders of women’s age, number
of embryos, the infertility pathogenesis of ovulation disorder, tube
factor, or diminished ovarian reserve on BP or CP. The detailed results
for the eight individual centers are provided in Figure S8A–H . Such interaction effects may vary with
the locations. For example, PM 2.5 exposure may have stronger
adverse effect on BP and CP among the women with one embryo transfer
(HN) ( Figure S8D ), younger age (LZ) ( Figure S8E ), fresh cycle (TJ) ( Figure S8G ), and ovulation disorder (YT) ( Figure S8H ), than those with two transferred embryos, older
age, frozen cycle, and without ovulation disorder, respectively. For
the TJ center, we can clearly observe that the women with fresh cycles
seem to be more vulnerable during all the concerned periods for both
BP and CP ( Figure 3 B,C), as well as for those with one transferred embryo in the HN
center ( Figure 3 D,E).
Interaction
effects between PM 2.5 exposure and the clinical
factors on the success odds of biochemical pregnancy (BP) and clinical
pregnancy (CP). The results are presented as relative risk for every
10 μg/m 3 of PM 2.5 increase. (A) Pooled
associations of PM 2.5 exposure with the CP and BP stratified
by age, type of embryo transfer, number of transferred embryos, and
infertility causes of ovulation disorder, tubal factor, diminished
ovarian reserve, and endometriosis among the women undergoing in vitro fertilization and embryo transfer; (B and C) interaction
effect between PM 2.5 and type of embryo for BP and CP in
Tianjin Center, respectively; (D and E) interaction effect between
PM 2.5 and number of transferred embryos for BP and CP in
Henan Center, respectively. P value for the statistical
testing of the interaction effect.
In the above analysis, the population PM 2.5 exposure
level was assigned by the reported residential address by the patients,
of which the accuracy cannot be confirmed one-by-one due to the large
population size. We assume that self-reported addresses with the distance
from the hospital <20 km can be considered as acceptable information
with high confidence level in China, resulting in a total of 39,187
cycles (noted as “P 20km ”). Overall, the RR
for P 20km had a trend similar to those by using all patients,
but with larger variations with no statistically significance ( Figure S9 ). Such results were overall consistent
when the average PM 2.5 concentrations obtained from the
four buffer radiuses of 1, 5, 10, and 20 km ( Figure S10 ). Thus, we only use the PM 2.5 concentration
of 1 km resolution for further analysis. To screen the sensitive
exposure time window, a total of seven periods of the fresh cycle
and five periods of the frozen cycle were defined according to the
ovum development and IVF-ET treatment process ( Figure 4 A,B). Overall, we did not obverse significantly adverse effects
of PM 2.5 on both BP and CP for these patients ( Figure 4 C,D).
Pooled associations between
PM 2.5 exposure and the two
very early pregnancies of biochemical pregnancy (BP) and clinical
pregnancy (CP). The results are presented as relative risk for every
10 μg/m 3 of PM 2.5 increase. The periods
for assigning PM 2.5 exposure were separately defined for
the fresh cycle with seven periods (A) and the frozen cycle with five
periods (B). Two very early pregnancies were investigated, including
BP (C) and CP (D) in fresh cycles, and BP (E) and CP (F) in frozen
cycles.
Discussion
To date, to the best of our knowledge, there
have been 19 published
studies about this issue conducted around the world; ten of them (52%)
supported the adverse effect of PM 2.5 exposure on the pregnancy
chance, while for the 12 studies conducted in China, seven of them
(58%) did ( Table S1 ). We considered that
sample size should be the main influencing factor. Except for the
largest sample size of 230,243 cycles in the study conducted in the
United States, 19 the rest of them ranged
form 486 in Spain 30 to 34,427 cycles in
Korean. 31 Due to the relatively weak effect
of PM 2.5 exposure on the VEP compared to the clinical factors,
a small sample size should not have enough statistical power to ascertain
their association. In addition, the heterogeneities of the women in
their lifestyle and medical conditions are other important confounding
factors. In our study, the adverse effects were mainly found in all
of the patients in eight IVF centers, while not for the individual
centers. Such a phenomenon cannot be well explained using the current
data in our study. We considered that this variability can be caused
by genetic, environmental, or socioeconomic confounders. Among the
eight centers, the PM 2.5 exposure concentrations varied
by regions ( Figure 1 D), as well as their toxic components based on previous studies. 32 , 33 Also, there are differences in the medical conditions between regions.
For example, LZ has the highest clinical pregnancy rate of 57%, while
GX has the lowest rate of 42%. Moreover, the basic population characteristics
among the eight centers, e.g., age and lifestyle, also differ to a
certain extent. These factors may lead to regional susceptibility
to PM 2.5 exposure, and further research is needed to explore
these differences in depth.
According to their meta-analysis
results, PM 2.5 exposure
should be a risk factor to the VEP. We originally hypothesized that
stronger associations may be observed among women with some reproductive
diseases. However, such a phenomenon was not found for the women with
diminished ovarian reserve, endometriosis, and obstruction of fallopian
tubes, except for ovulation disorder only in the YT center. It is
interesting to note that the women in the fresh cycle and with one-embryo
transfer seemed to be more vulnerable to PM 2.5 exposure
than those in the frozen cycle and with two-embryo transfer, respectively.
A possible reason is that the women in the fresh cycle may be in high
estrogen status due to the ovarian hyperstimulation, which may alter
the endometrial receptivity and subsequently result in negative influence
on the potential of embryonic implantation. 34 Compared with the women with one embryo transferred, those with
two embryos have a higher success rate of clinical pregnancy and may
be more resistant to PM 2.5 hazards. 35 It seems that PM 2.5 can play a modification
role in deteriorating the embryo implantation conditions, indicating
that some protection measures regarding PM 2.5 exposure
should be taken for some specific groups of women.
We supposed
that there should be a sensitive exposure time window
for the effect of PM 2.5 exposure on the VEP. Previously,
the average PM 2.5 concentrations in several time windows
were frequently investigated from the months before COH to B-ultrasound
examination for CP. According to the meta-analysis results for the
previous qualified 14 studies, PM 2.5 values were only linked
to reduced probabilities of BP during the period of 85 days before
egg retrieval to the beginning of gonadotropin, while not for the
others. 36 In our study, we only found the
potential adverse effect of PM 2.5 exposure during the 2
weeks near the day of embryo transfer on BP. It can be partly explained
by the findings from the animal study that PM 2.5 can cause
ovarian injury, which is close the day of embryo transfer. 8 However, due to the complex processes of oocyte
development during the period before COH, such association cannot
be well explained with high certainty. We considered that the vulnerable
exposure period of PM 2.5 should exist near the day of embryo
transfer.
A severe decline in child births has occurred over
the past half
century, which will lead to considerable population declines, particularly
in industrialized regions, 1 as well as
for China with an obviously decreasing birth rate in the past 10 years. 11 Especially, more deaths than births happened
in 2022 in China ( https://www.stats.gov.cn/ ), indicating the high demand for increasing the birth rate. It has
been reported that missed abortion in the first trimester is related
to maternal air pollution exposure. 37 We
further proposed that the VEP of 2–3 weeks gestational weeks
was also interfered with by PM 2.5 exposure. This should
be considered by related policy-makers to reduce the PM 2.5 exposure among women seeking pregnancy. Our study may have the
following limitations: First, we were unable to obtain the activity
trajectories of the study participants, which limited our ability
to accurately assess the PM 2.5 exposure level. Second,
the study population consists of individuals with infertility, which
differs from the general population and may limit the generalizability
of the findings. Third, the socioeconomic variables in the medical
records system are limited, which prevented a more in-depth exploration
of their influence. As we know that female reproductive health can
be affected by various risk factors, like metal(loid)s, 38 multiple endocrine-disrupting chemicals, 39 and per- and polyfluoroalkyl substances, 40 future studies should be conducted under the
framework of exposome. 41 , 42 Our study also had some obvious
strengths. First, our study adopted a large population size from the
eight typical provinces to address the epidemiological evidence of
the association between PM 2.5 exposure and VEP. Hence,
the geographical heterogeneity, sensitive exposure window, and vulnerable
population of this association can be ascertained. Second, various
sensitivity analyses and statistical methods were conducted to confirm
the reliability of our findings, and the conservative conclusions
were finally obtained. Various resolutions of PM 2.5 distribution
in China of 1, 5, 10, and 20 km were used. Also, a natural cubic smooth
function was adopted to control for underlying time trends of both
BP and CP. Taking AH center for example ( Figure S11 ), very strong adverse effects of PM 2.5 exposure
on the VEP were observed without adjusting the time trend. We concluded
that increased exposure to ambient PM 2.5 near the embryo
transfer day was negatively associated with odds of VEP. Such effects,
as well as the vulnerable women, varied with locations. Overall, this
effect seems relatively weak but nonnegligible due to the issues of
global decreasing fertility rate and severe PM 2.5 pollution.
Introduction
A severe decline in child births has occurred
over the past half
century, particularly in industrialized regions with various environmental
pollution; thus, widespread infertility and the increasing need for
assisted reproduction are now major health issues. 1 It is estimated that 8–12% of couples of reproductive-age
were affected by infertility. 2 Epidemiological
studies have suggested that PM 2.5 exposure is associated
with reduced fertility. 3 − 5 Meanwhile, the toxic effect of PM 2.5 has
been intensively explored with in vitro and in vivo animal studies, 6 , 7 e.g., oxidative
stress damage, inflammatory effect, and immune abnormality. Such toxic
alteration in turn affects reproductive disfunction, such as ovarian
injury. 8 PM 2.5 can even induce
apoptosis of ovarian granulosa cells and oocytes, resulting in disrupted
embryo development and female fertility. 9 However, the evidence of the toxic effect of PM 2.5 on
very early pregnancy (VEP) is relatively less due to the difficulty
in monitoring this outcome during such an early pregnancy period.
Assisted reproductive technology (ART) is widely recognized as
one of the most effective treatments for infertility, of which in vitro fertilization and embryo transfer (IVF-ET) stand
out as the prominent approach. IVF-ET treatment can provide very detailed
clinical records during the VEP period and allowed us to investigate
the relationship between PM 2.5 exposure and the loss risk
of VEP. Until 2018, approximately nine million ART babies have been
born in the world. 10 In the Chinese mainland,
there were 517 assisted reproductive centers by the end of 2019, and
their ART cycles had reached 1.15 million in 2017, ranking as the
highest in the world. 11 The adverse effect
of PM 2.5 on the pregnancy loss using IVF-ET has been widely
reported from epidemiological studies in USA, 12 France, 13 Spain, 14 Brazil, 15 Korea, 16 and China. 17 , 18 The couples with IVF-ET usually
have high mental pressure and potential economic burden to make such
a choice; hence, any measures that can improve the success likelihood
should be taken, especially for covering a huge population size of
PM 2.5 pollution. To date, more studies conducted in China
(>50%) reported the adverse effect of PM 2.5 exposure
on
VEP using IVF-ET than those in other counties (see Table S1 in the Supporting Information (SI)). Such an effect
has been attracting extreme public attention worldwide.
The
current epidemiological studies have three obvious insufficiencies.
First, the conclusions between PM 2.5 exposure and the likelihood
of success of IVF-ET are inconsistent. Such a phenomenon can be caused
by various influencing factors, e.g., PM 2.5 concentration,
exposure period, population size, and medical conditions. For example,
the population size ranged from 292 in France 13 to 230,243 cycles in USA, 19 while in
China it ranged from 1,139 20 to 38,513
cycles. 21 Second, the vulnerable exposure
time window and sensitive population were not ascertained, which is
important for making specific prevention policies. In consideration
of the short period of IVF-ET treatment, the acute effect of PM 2.5 exposure near the embryo transfer day is crucial. The days
near the embryo implantation are critical to affect the success likelihood
of IVF-ET. 22 Third, the high-resolution
spatiotemporal PM 2.5 distribution was seldom adopted to
conduct the risk assessment previously, resulting in potential bias
of population exposure misclassification. Hence, the related evidence
from a large cohort with a high-resolution PM 2.5 distribution
was needed. We conducted a multicenter retrospective cohort study
to ascertain the effect of PM 2.5 exposure on VEP.
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