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Factors Affecting Artificial Insemination Pregnancy Outcome

Authors Wang X, Zhang Y, Sun HL, Wang LT, Li XF, Wang F, Wang YL, Li QC

Received 25 March 2021

Accepted for publication 7 July 2021

Published 27 July 2021 Volume 2021:14 Pages 3961—3969

DOI https://doi.org/10.2147/IJGM.S312766

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Scott Fraser



Xue Wang,* Yue Zhang,* Hong-Liang Sun, Li-Ting Wang, Xue-Feng Li, Fei Wang, Yan-Lin Wang, Qing-Chun Li

Department of Reproductive Medicine, Binzhou Medical University Hospital, Binzhou, 256603, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Qing-Chun Li; Yan-Lin Wang
Department of Reproductive Medicine, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Binzhou, 256603, People’s Republic of China
Tel +86 543 325 8715
; +86 543 325 8713
Fax +86 543 325 7792
Email [email protected]; [email protected]

Objective: The aim of the present study was to explore related clinical pregnancy outcome factors in intrauterine insemination (IUI).
Materials and Methods: The clinical data of 3984 IUI cycles in 1862 couples experiencing infertility who attended the Reproductive Center of Binzhou Medical University Hospital between July 2006 and July 2017 were retrospectively analyzed. Female and male patient age, endometrial thickness (EMT), the post-wash total motile sperm count (PTMC), artificial insemination timing, insemination frequency, and ovarian stimulation protocols were compared between the study’s pregnant group and non-pregnant group in order to explore any correlation.
Results: There were statistically significant differences in female and male age, EMT, artificial insemination timing, insemination frequency, and ovarian stimulation protocols between the two groups (p < 0.05). The clinical pregnancy rate was significantly higher in ovarian stimulation cycles than in natural cycles (21.2% and 11.6%, respectively; p < 0.01), the clinical pregnancy rate was significantly higher in double IUI than in single IUI (17.8% and 12.1%, respectively; p < 0.01), and EMT was significantly greater in the pregnant group than in the control group (p < 0.05). However, the differences in clinical pregnancy rates among the PTMC groups were not statistically significant (14.8%, 14.4%, 17.3%, and 17.3%, respectively; p > 0.05).
Conclusion: The results of the present study demonstrate that the clinical IUI pregnancy rate is correlated with the factors of female age, male age, EMT, artificial insemination timing, insemination frequency, and ovarian stimulation protocols; the ovarian stimulation protocol can noticeably improve the patient pregnancy outcome. Furthermore, compared with single IUI, double IUI can significantly increase the clinical pregnancy rate.

Keywords: intrauterine insemination, clinical pregnancy rate, post-wash total motile sperm count, ovarian stimulation cycle, timing of intrauterine insemination

Introduction

Intrauterine insemination (IUI) is a type of assisted reproductive technology (ART) that increases the conception rate in cases of both male and female infertility. It refers to the in vitro transcervical injection of washed spermatozoa into a woman’s uterine cavity1 and is used to treat infertility induced by moderate male factors, endometriosis, ovulation failure, and unexplained factors.2,3 Compared with in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI), IUI is a simpler, safer, and cheaper treatment protocol with a lower complication rate; this makes it more easily accepted by patients experiencing infertility.1,4–6 Due to many factors, the clinical IUI pregnancy rate is also lower than the rates of other ARTs.4,5 It is well known that there are inconsistencies among reports in literature on IUI influencing factors. The present study reviews the different influencing factors of 3984 cycles in 1862 couples experiencing infertility who underwent an IUI at the Reproductive Center of Binzhou Medical University Hospital between July 2006 and July 2017, such as different female and male age stages, endometrial thickness (EMT), forward-moving sperm number, artificial insemination timing, IUI times/cycles, different treatment protocols, and uses of different ovulation-stimulating drugs. The aim of the analysis of the data obtained from the center is to provide a reference for clinical decision-making. The limitation of the study is that the data has been collected from a single center; furthermore, some data may be offset.

Materials and Methods

Research Object

A total of 3984 IUI cycles in 1862 couples experiencing infertility who attended the Reproductive Center of Binzhou Medical University Hospital between July 2006 and July 2017 were included in the present study. This study was conducted in accordance with the Declaration of Helsinki, and the study protocol was approved by the ethics committee of Binzhou Medical University Hospital, China (No. 2019-LW-030), and all methods were performed in accordance with the approved guidelines. This study only involves the collection or study of existing data, documents, and records, and these sources were publicly available and could not be used to identify subjects either directly or by subject-related identifiers, thus exempting informed consent.

Inclusion Criteria

Female patients were confirmed with at least one unobstructed fallopian tube. This confirmation was conducted during the hydrotubation examination via hysterosalpingography, hysteroscopy, laparoscopy, or laparotomy. In addition, the couples included in the present study had a normal sexual life without contraception for at least one year.

Ovarian Stimulation Protocol

The natural cycle was administered in females with regular menstrual cycles; IUI was performed based on the peak of the luteinizing hormone (LH), which was measured daily after the diameter of the follicle reached 16–18 mm.

The ovulation induction cycle indications included the presence of an ovulation disorder, irregular menstruation, pregnancy failure after intercourse guided by vaginal ultrasound for monitoring natural cycle ovulation 2–3 times, small follicle ovulation (with a follicle diameter of <15 mm), and luteinized unruptured follicle syndrome. Ovulation induction was performed in accordance with the following protocol:

  1. Letrozole (LE): 2.5–5.0 mg/day for 5 days starting from menstrual cycle day 3–5.
  2. Clomiphene citrate (CC): 50–100 mg/day for 5 days starting from menstrual cycle day 3–5.
  3. LE + human menopausal gonadotropin (HMG): 2.5–5.0 mg/day for 5 days starting from menstrual cycle day 3–5, followed by the addition of 37.5–75.0 IU of HMG for a variable duration depending on the patient’s response.
  4. CC + HMG: 50–100 mg/day for 5 days starting from menstrual cycle day 3–5, followed by the addition of 37.5–75.0 IU of HMG for a variable duration depending on the patient’s response.
  5. HMG: 37.5–75.0 IU/day for a variable duration depending on the response, starting from menstrual cycle day 3–5.

Operation Procedure

A mature follicle with a diameter of ≥18 mm and EMT of ≥7 mm, combined with the blood LH, E2, and P values as well as the urine LH level were needed to determine whether to proceed with the injection of either urinary human chorionic gonadotrophin (hCG) or gonadotropin releasing hormone agonist (GnRH-α) as well as to determine the injection dosage. The insemination was performed at 36–40 h after the injection of either hCG or GnRH-α. Artificial insemination timing: (a) ovulation after single IUI; (b) ovulation before single IUI; (c) double IUI before and after ovulation (the ovulation was observed within the next day of the first IUI); and (d) double IUI before and after ovulation (the ovulation was observed after the next day of the first IUI). The washed semen sample was introduced into the woman’s uterus using a syringe.

Semen Processing

Semen was collected via masturbation after an abstinence of 2–7 days and prepared post-liquefaction with two-layer density gradient centrifugation. In the case of abnormal liquefaction, the sperm was diluted with the same volume of culture medium and treated with density gradient centrifugation. Next, 1.5 mL of 90% solution (SpermGradTM Lower Layer, Vitrolife, Sweden) was pipetted into the tube; 1.5 mL of 45% solution (SpermGradTM Upper Layer, Vitrolife, Sweden) was then slowly dripped on top of the solution. Finally, the semen was gently layered on top. The tube was centrifuged at 300g for 20 minutes, and the two top layers were removed. With as little of 90% solution (SpermGradTM Lower Layer, Vitrolife, Sweden) as possible, the sperm pellet was transferred to a sterile conical tube with 5 mL of equilibrated G-IVF PLUS (Vitrolife, Sweden). The sperm sample was centrifuged at 300g for 10 minutes, the supernatant discarded, and sperm repeatedly washed. The volume of the sample used for insemination was 0.3–0.5 mL. The sample was assessed for motility and concentration.

Luteal Phase Support

Luteal phase support, consisting of dydrogesterone tablets (20–40 mg/day, po) or progesterone (20–40 mg/day, im) for 14 days, was routinely provided for all patients starting from the day of IUI performance. In patients with lower-than-normal pre-ovulation estrogen levels or an EMT of >8 mm, progynova (1–2 mg/day, po) treatment was administered. A blood test for the hCG assay was performed at 14 days after insemination in order to confirm pregnancy occurrence. In women with a positive hCG, an ultrasound examination was performed at seven weeks of gestation to confirm fetal viability. Ultrasonography, among others, is evidence for determining clinical pregnancy.

Statistical Indicators

The measured variables included the respective rates of clinical pregnancy, biochemical pregnancy, and clinical pregnancy abortion. The definition of clinical pregnancy was gestation sac ultrasound visibility after four to five weeks of IUI; the clinical pregnancy rate is the proportion of these numbers to the total number of cycles. Biochemical pregnancy referred to a hCG value of >25mIU/L after 14–16 days of IUI; the biochemical pregnancy rate was the proportion of these numbers to the total number of cycles. Clinical pregnancy abortion was a miscarriage after the ultrasound detection of a gestation sac; the clinical pregnancy abortion rate was the proportion of these numbers to the total clinical pregnancy number.

Statistical Analysis

Statistical evaluations were conducted using the Statistical Package for Social Sciences (SPSS) 17.0 software (SPSS Inc., Chicago, IL, USA). The measurement data were expressed as mean ± standard deviation (SD) and evaluated using the independent-samples t-test. The enumeration data were expressed in percentage (%) and evaluated using the Chi-square test. The level of significance was set at p < 0.05.

Results

The present retrospective cohort study included a total of 3984 cycles in 1862 couples. The characteristics of patients undergoing all cycles with IUI are presented in Table 1. Overall, the clinical pregnancy rate was 16.3% (649/3984), the biochemical pregnancy rate was 19.3% (770/3984), the clinical pregnancy abortion rate was 15.4% (100/649), and the ectopic pregnancy rate was 1.8% (12/649).

Table 1 Characteristics of Patient Undergoing All Cycles with IUI

Female Age

The average female subject age was significantly lower in the clinical pregnant group (28.97 ± 4.06 years) than in the non-pregnant group (30.47 ± 4.84 years) (p < 0.05) (Table 2). Based on age, the female study subjects were divided into three groups: (1) group a: aged <25 years; (2) group b: aged 25–35 years; and (3) group c: aged >35 years. A significant decrease in clinical pregnancy rate with age was found (23.8%, 16.3%, and 8.8%, respectively; p = 0.000) (Table 3). The pairwise comparison results for the three groups showed statistically significant differences (p < 0.05) (Table 3).

Table 2 Comparison of the Female Age, Male Age, Endometrial Thickness on IUI Day and PTMC Between Pregnant Group and Non-Pregnant Group

Table 3 The Clinical Pregnancy Rate According to Female Age and Male Age

Male Age

The average male subject age was significantly lower in the clinical pregnant group than in the non-pregnant group (29.84 ± 4.31 years and 31.28 ± 5.00 years, respectively; p = 0.000) (Table 2). Based on age, the male study subjects were divided into three groups: (1) group a: subjects aged <25 years; (2) group b: subjects aged 25–35 years; and (3) group c: subjects aged >35 years. The clinical pregnancy rates were compared among the different groups (23.8%, 16.6%, and 10.1%, respectively); the differences were statistically significant (p = 0.000) (Table 3). The pairwise comparison results for the three groups showed that the differences were statistically significant (p < 0.05) (Table 3).

EMT on IUI Day

The EMT was significantly thicker in the clinical pregnant group than in the control group (10.46 ± 2.02 mm and 10.25 ± 2.10 mm, respectively; p < 0.05) (Table 2). Based on EMT, the cases were divided into three groups: (1) group a: <8 mm; (2) group b: 8–12 mm; and (3) group c: >12 mm. The clinical pregnancy rate differences among the three groups (13.5%, 17.0%, and 17.0%, respectively) were not statistically significant (p = 0.054) (Table 4). The pairwise comparison results for the three groups showed that the clinical pregnancy rate was significantly higher in group b than in group a (p = 0.018) (Table 4).

Table 4 The Clinical Pregnancy Rate According to Endometrial Thickness on IUI Day and PTMC

Sperm Parameters

The post-wash total motile sperm count (PTMC) of semen injected into the uterine cavity was 19.54 ± 16.14 × 106/mL in the clinical pregnant group and 17.89 ± 14.57 × 106/mL in the non-pregnant group; the difference was statistically significant (p < 0.05) (Table 2). Based on the PTMC, the cases were divided into four groups: (1) group a:<5×106/mL; (2) group b: 5−10×106/mL; (3) group c: 10−20×106/mL; and (4) group d: >20×106/mL. There were no significant differences in clinical pregnancy rates among the groups (14.8%, 14.4%, 17.3%, and 17.3%, respectively; p = 0.161) (Table 4).

Artificial Insemination Timing

The clinical pregnancy rate difference between single IUI per cycle (12.1%) and double IUI per cycle (17.8%) was statistically significant (p < 0.01) (Table 5). Based on the IUI timing, the cases were divided into four groups: (1) group a: ovulation after single IUI; (2) group b: ovulation before single IUI; (3) group c: double IUI before and after ovulation (the ovulation was observed within the second day of the first IUI); and (4) group d: double IUI before and after ovulation (the ovulation was observed after the second day of the first IUI). Furthermore, there were significant differences in the clinical pregnancy rates among the groups (11.9%, 11.9%, 18.7%, and 11.9%, respectively; p = 0.000) (Table 5). The pairwise comparison results for these four groups showed that the clinical pregnancy rate was significantly higher in group c than in the other three groups (group c/group a: p = 0.001; group c/group b: p = 0.000; group c/group d: p = 0.001) (Table 5).

Table 5 The Clinical Pregnancy Rate According to the Frequency and Timing of IUI

Ovarian Stimulation Protocol

The present study cases included 2030 natural cycles and 1954 ovulation induction cycles. The clinical pregnancy rate was significantly higher in ovarian stimulation cycles than in natural cycles (21.2% and 11.6%, respectively; p < 0.01) (Table 6). Based on the medication scheme, the ovulation induction cycles were divided into five groups: (1) group a: LE; (2) group b: CC; (3) group c: LE+HMG; (4) group d: CC+HMG; and (5) group e: HMG. When we compared group a and c, group b and c, group a and d, group a and e, as well as group c and e respectively, we found that different ovarian stimulation protocols related to the pregnancy outcome (P <0.05) (Table 6). The clinical pregnancy rate in group c was the highest when compared with the other groups. The pairwise comparison results for the five groups showed that the clinical pregnancy rate was significantly higher in group c than in groups a, b, and e (group c/group a: p = 0.000; group c/group b: p = 0.003; group c/group e: p = 0.002) (Table 6).

Table 6 The Clinical Pregnancy Rate According to Treatment Protocol

Discussion

As a type of ART, IUI increases the conception rate. Determining how to improve the clinical pregnancy rate has been a common topic among researchers and can be discussed in regard to the following aspects.

Female Age

In previous studies, it was found that age in female subjects is an important factor affecting the clinical pregnancy rate; the clinical pregnancy rate gradually decreases with the increase in age.7–11 The conclusion of the present study is consistent with these views; the data revealed that female subjects were significantly younger in the pregnant group than in the non-pregnant group. Furthermore, when compared with other age groups, female subjects aged <25 years had the highest clinical pregnancy rate; the differences were statistically significant (p < 0.05). With the increase in female subject age, especially upon reaching >35 years, the oocyte number becomes rapidly exhausted. Subsequently, metabolite accumulation in the body changes the ovarian environment, resulting in deoxyribonucleic acid mutations and telomere shortening, for instance; this leads to a physiological decline in oocyte quality.12 Moreover, endometrial receptivity is gradually reduced with the increase in age; thus, delaying implantation in endometrial window extremes can result in poor pregnancy outcomes.13 All of the above-listed factors increase the chances of infertility.

Male Age

In a present study, Zhang7 found that the clinical pregnancy rate was higher in male subjects aged <30 years than in male subjects aged >30 years; however, the difference was not statistically significant. The data processed in the present study revealed that male subjects were significantly younger in the pregnant group than in the non-pregnant group. Furthermore, the clinical pregnancy rate in the group with subjects aged <25 years was the highest among the different age groups, and the clinical pregnancy rate significantly declined with age; Govindarajan8 came to the same conclusion. Male age mainly affects pregnancy outcomes through sperm quality influence. It has been found that, in male subjects, sperm volume, concentration, and vitality all decrease with the increase in age,14–16 while the malformation rate increases.15,16 However, Nijs17 did not detect the effects of subject age on sperm concentration, movement, and morphology. Therefore, the effects of age in male subjects on the pregnancy outcome requires further exploration.

Sperm Parameters

There are different opinions regarding the impact of PTMC on the clinical pregnancy rate. Lemmens18 considers PTMC to have no predictive value in the artificial insemination pregnancy outcome; it is more likely to be predicted using the total motile sperm count.18–20 The data included in the present study has revealed that the PTMC was significantly higher in the pregnancy group than in the non-pregnancy group. However, no significant reduction in clinical pregnancy rate was found with a PTMC of <5×106/mL. Furthermore, male patients with mild asthenospermia are the most appropriate subjects to receive this treatment; however, when sperm activity declines further, reaching a sufficient sperm concentration is difficult. At this point, there must be other factors affecting the pregnancy outcome. An expanded sample size would help confirm this regularity in future investigations.

EMT

A large number of studies have shown that the ART pregnancy outcome is affected by the EMT on the day of IUI performance.21,22 De Geyter22 considers EMT an independent factor affecting the clinical pregnancy rate, and Zhang7 considers the clinical pregnancy rate to be highest with an EMT of 8–12 mm. The results of the present study reveal that subject EMT was thicker in the clinical pregnancy group than in the non-pregnancy group; however, the difference was too small. When the cases were divided into three groups based on EMT on the day of IUI (group 1: <8 mm; group 2: 8–12 mm; and group 3: >12 mm), it was found that the clinical pregnancy rate was higher in group 2 than in group 1; however, this was similar to the clinical pregnancy rate in group 3. Weissman et al23 found that the implantation and pregnancy rates were higher during an EMT of 7–14 mm than an EMT of >14 mm. Zhao et al24 reported that the clinical pregnancy rate during an EMT of >7 mm was significantly higher than during an EMT of <7 mm. Overall, a thin endometrium may decline the clinical pregnancy and lower the implantation rate. Moffat et al25 also reported that age in female subjects, decreased ovarian reserve, endometriosis, and the hypogonadotrophic hormone all affect EMT. In addition to a thin endometrium, low implantation and pregnancy rates may be caused by other prognostic factors, such as age, endometrium pattern, inflammation, and endocrine disorders, all of which affect endometrial receptivity. Hence, the effects of EMT on the pregnancy rate require further study.

IUI Timing and Frequency

The success of an IUI is significantly correlated with the mastery of IUI timing and frequency. The present research data have revealed that the clinical pregnancy rate was significantly higher in double IUI per cycle than in single IUI per cycle. Ragni26 also considered the pregnancy outcome to be better in double IUI per cycle than in single IUI per cycle. In the double IUI cycles, the first IUI was implemented before ovulation and the second IUI after ovulation. During the ovulation observed over the next day of the first IUI, the clinical pregnancy rate was higher than the during the ovulation observed after the next day of the first IUI. Several studies27,28 have considered that, in single IUI cycles, post-ovulation IUI can significantly improve the pregnancy outcome when compared to pre-ovulation IUI. The data included in the present study have revealed that the clinical pregnancy rate was higher in post-ovulation IUI than in pre-ovulation IUI. However, the difference was not statistically significant (p > 0.05). The IUI treatment rationale is to increase the couple conception rate by increasing the chance of the maximum number of healthy sperm reaching the fertilization site. The fertilization ability of sperm can be maintained for approximately 12 hours, and the oocytes can survive for 24–48 hours in vivo.29 Therefore, the closer the IUI timing is to the ovulation, the more spermatozoa enter into the female body, thus increasing the pregnancy rate.

Ovarian Stimulation Protocol

There are different opinions regarding the effects of different treatment protocols on the clinical pregnancy outcome. In previous studies, certain scholars7,30–32 presented no significant clinical pregnancy rate difference between the ovarian stimulation cycle and the natural cycle. However, other studies9,33,34 have considered the ovarian stimulation scheme to significantly improve the clinical pregnancy rate, as opposed to the natural scheme. In addition, several studies have demonstrated that, in IUI programs, cycles with HMG are associated with better reproductive outcomes than cycles with CC35,36 and LE.35 The data in the present study has revealed that the clinical pregnancy rate was significantly higher in the ovarian stimulation cycle than in the natural cycle (p < 0.05). On the one hand, the use of ovarian stimulation drugs can make up for sperm factor defects;37 on the other hand, determining the most appropriate insemination time is difficult due to the natural cycle’s unstable LH peak fluctuation. However, while the artificial insemination timing in the natural cycle is inaccurate, ovarian stimulation application would make ovulation time estimation easier. The clinical pregnancy rate was higher in the HMG group than in the non-HMG groups in different ovarian stimulation protocols (Table 5). Furthermore, the LE+HMG group had the highest clinical pregnancy rate, while the CC group had the lowest clinical pregnancy rate. Furthermore, it was found that the clinical pregnancy rate in the CC group and LE group was similar to the rate in the natural cycle group. Dinelli11 also considered the single CC use unable to improve the clinical pregnancy rate in unexplained subfertility. This may be associated with CC’s anti-estrogen effect on the endometrium. Most patients only have single follicle development when CC is used alone. However, the follicle number can be appropriately increased by combining CC with HMG, thereby increasing the estrogen level, increasing EMT, and improving the clinical pregnancy rate to a certain extent. LE is a third-generation aromatase inhibitor in which negative feedback increases the pituitary follicle stimulating hormone (FSH) release by inhibiting estrogen synthesis, thereby promoting follicle growth and development.38 HMG is a commonly used gonadotropin in clinical practice. Its commercial preparation contains 75 U of FSH and 75 U of LH per ampoule.39 FSH can enhance follicular recruitment and growth during folliculogenesis as well as increase the estrogen level and promote endometrial proliferation.40 The negative feedback effect on FSH increased more in the LE+HMG group than in the HMG group. Hence, the pregnancy rate was higher in the LE+HMG group than in the HMG group.

Conclusion

In conclusion, fertility is greatly reduced at an age of >35 years, regardless of gender. It has been suggested that the reproductive age should be reasonably arranged. The clinical pregnancy rate becomes higher with the increase in PTMC. It is noteworthy that a good pregnancy outcome can also be obtained with a PTMC of <5×106/mL. In addition, the ovarian stimulation scheme is a good choice for obtaining a satisfactory pregnancy outcome as soon as possible; the LE+HMG scheme is ideal. Meanwhile, combining this scheme with double IUI before and after ovulation, especially when the ovulation is observed within the next day of the first IUI, would greatly improve the chances of pregnancy.

Acknowledgments

We are particularly grateful to all the people who have given us help on our article.

Funding

The present study was supported by the Medical Science and Technology development Program of Shandong Province (grant no. 2011QZ002 to Q. C. Li) and Shandong Natural Science Foundation (grant no. ZR2012HL03 to Y. L. Wang and grant no. ZR2017LH013 to H. L. Sun).

Disclosure

The authors declare that they have no competing interests.

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