The pregnancy outcomes of intrauterine insemination with husband's sperm in natural cycles versus ovulation stimulated cycles: A retrospective study

A comprehensive evaluation of pre- and post-processing sperm parameters for predicting successful pregnancy rate following intrauterine insemination with the husband's sperms

BACKGROUND

To determine the predictive values of sperm parameters pre- and post-processing by density gradient centrifugation for clinical pregnancy rates (CPRs) following artificial insemination by husband (AIH) in infertile Chinese couples.

METHODS

A total of 3,522 AIH cycles from 1,918 couples were retrospectively analyzed. The parameters were compared between the pregnant and non-pregnant groups and further between different etiological groups (Male-factor, Both-male-and-female-factor, and Other-factor). Multivariate logistic regression analysis was performed to create models for predicting the CPRs of each etiological group.

RESULTS

The overall CPR was 13.3%. There were significant improvements for most sperm parameters after DGC. Multivariate logistic regression analysis indicated that, in overall AIH cases, the top parameters significantly influencing the CPR of AIH were pre-STR (OR = 1.037; P = 0.048) and post-VSL (OR = 1.036; P = 0.011). In the Male-factor Group, the top influencing parameters were pre-VCL (OR = 2.096; P = 0.008), pre-LIN (OR = 1.930; P = 0.002) and post-VSL (OR = 1.316; P = 0.023). In the Both-factor Group, the top influencing parameters were pre-VCL (OR = 1.451; P = 0.008) and post-motility (OR = 1.218; P = 0.049). In the Other-factor Group, the top influencing parameters were pre-VAP (OR = 1.715; P = 0.024), pre-STR (OR = 1.20; P = 0.011) and post-VSL (OR = 1.04; P = 0.017). Moreover, receiver operating characteristic analysis showed that the logistic regression models of the Male- and Both-factor Groups had greater powers for prognostic classification than those of other groups.

CONCLUSIONS

This study demonstrated that some sperm parameters have a collinearity relationship in predicting the CPR following AIH. Moreover, the predictive capacity of a multivariate logistic regression model is better than those of individual parameters, especially for the Male- and Both-factor Groups. In these cases, pre-VCL is the common top influencing factor.

Associations between vaginal flora, MIP-1α, IL-17A, and clinical pregnancy rate in AIH

PROBLEM

To investigate how asymptomatic bacterial imbalance affects the clinical pregnancy rate after artificial insemination with the husband's semen (AIH).

METHODS

This study included married heterosexual couples who underwent AIH. According to the follow-up results, participants were divided into the pregnancy and non-pregnancy groups. Based on the first 10 pair participants in each group with vaginal flora bacterial 16S rRNA sequencing results, six semen samples received bacterial-sperm mixed test. Moreover, 34 cytokines were detected in the peripheral blood sera of the first three pairs by high-throughput Luminex, which were verified in vaginal secretions, cervical mucus, and blood sera from the first 200 pairs by ELISA.

RESULTS

The results of the 16S sequencing of vaginal secretions showed that compared with the pregnant group, the non-pregnant group had a significantly increased bacterial species diversity, which was mainly manifested by a decrease in Lactobacillus crispatus and an increase in Prevotella bivia. When Prevotella bivia or Lactobacillus crispatus were mixed with sperms, the sperm motility was decreased (p < .05). The vaginal posterior fornix secretions, cervical mucus, and peripheral blood sera of the non-pregnant group showed decreased levels of MIP-1α and increased levels of IL-17A (p < .05).

CONCLUSION

The imbalance of vaginal flora leading to the increase of Prevotella bivia and the decrease of Lactobacillus crispatus may cause an imbalance of immune regulation. Low expression of MIP-1α and high expression of IL-17A were associated with reduced clinical pregnancy rate in AIH.

Effects of chromosomal abnormalities on pregnancy outcomes in female undergoing artificial insemination with donor's sperm

This study aimed to evaluate the clinical characteristics, pregnancy outcomes and prognostic factors for pregnancy of female with chromosomal abnormalities (CAs) after artificial insemination with donor's sperm (AID) treatment.A retrospective case-control study was analyzed by using the data of 29 female patients with CA and 116 controlled patients with normal karyotype (1:4 ratio) who underwent AID cycles at Guangdong Family Planning Special Hospital from January 2011 to December 2017. In all cases, reproductive histories were collected, and the cytogenetic analysis was performed by Trypsin-Giemsa banding and karyotyping. The embryos were fertilized via intracervical or intrauterine insemination. Clinical characteristic variables were compared.The prevalence of CA was found to be 0.29% in the whole AID population. The live birth rates of CA group and controlled group were 41.4% and 31.0% (P = .29) respectively. Compared to normal karyotype group, patients with CA showed higher rate of primary infertility (93.1% vs 75.9%, P = .049); Multivariate analysis demonstrated that ovarian stimulation (odds ratio, 3.055; 95% confidence interval, 1.421-6.568; P = .004) was associated with adverse pregnancy outcomes in female patients with AID treatment.For the infertility CA patients who were phenotypically normal, AID was a suitable choice, whereas ovarian stimulation results in an improvement in the pregnancy rate.

Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population

Background: To determine the independent prognostic factors and develop a multivariate logistic regression model for predicting successful pregnancy following artificial insemination by husband (AIH) in infertile Chinese couples.

Methods: A total of 3,015 AIH cycles with superovulation from 1,853 infertile Chinese couples were retrospectively analyzed. The clinical characteristics and sperm parameters were compared between the pregnant and non-pregnant groups. Multivariate logistic regression analysis was performed to remove the confounding factors and create an equation to predict the successful pregnancy. Receiver operating characteristic (ROC) curves were constructed for evaluating the abilities for prognostic classification of the independent predictors and the equation.

Results: The overall pregnancy rate was 13.0%. The pregnancy rate of double intrauterine insemination (IUI) (18.9%) was significantly higher than that of single IUI (11.4%). The pregnancy rate of the stimulated cycle (14.4%) was significantly higher than that of the natural cycle (9.0%). The pregnancy rates of the age groups <40 years are ~3 times higher than that of the ≥40 years age group. Among sperm parameters, the influencing factors included straight-line velocity (VSL), sperm deformity index (SDI), and normal form rate (all P < 0.05). A multivariate logistic regression equation was created based on the above influencing factors. ROC analysis showed that the prognostic power of the equation is better than those of individual predictors.

Conclusion: Cycle treatment options, single/double IUI, female age, sperm VSL, SDI, and normal form rate could predict successful pregnancy following AIH in China. The multivariate logistic regression equation exhibited a greater value for prognostic classification than single predictors.

Oncofertility care in young women and the outcomes of pregnancy over the last 5 years

Aim:

To ascertain the actual outcomes of oncofertility care in young women to provide more appropriate care.

Materials & methods:

We analyzed the data of 67 female patients under 43 years of age who underwent oncofertility care between January 2015 and September 2019.

Results:

There were 28 patients with breast cancer, 19 patients with hematologic cancer and 20 patients with other cancer diagnoses. Breast cancer patients tended to take longer than hematologic cancer patients to initiate oncofertility treatment. Despite undergoing oncofertility care, seven of nine pregnant patients did not choose assisted reproductive technology (ART).

Conclusion:

As spontaneous pregnancies were more common than ART pregnancies in our study, pregnancy by not only ART but also non-ART method is a viable option for young cancer survivors.

We conducted a study about oncofertility care and pregnancy outcomes in female cancer survivors under 43 years old. Even after chemotherapy, pregnancy by not only assisted reproductive technology (ART) but also non-ART method is a viable option for young cancer survivors. Social support as well as ART advancement is important for young cancer survivors and the low marriage rate may contribute to the low pregnancy rate.

Prewash and postwash total progressively motile sperm counts have poor predictive value for clinical pregnancy after intrauterine insemination

OBJECTIVE

To evaluate the predictive value of the prewash and postwash total progressively motile sperm counts (TPMSC) on clinical pregnancy after intrauterine insemination (IUI) .

METHODS

A review of medical records of women undergoing 2064 IUI cycles in a university hospital between April 2010 and October 2018.

RESULTS

No pregnancies were seen when the prewash TPMSC was less than 9 million or the postwash TPMSC was less than 2 million. There was no correlation between TPMSC and clinical pregnancies. Further analysis was made in pregnancies after prewash TPMSC of 3-10 million and more than 10 million, and after postwash TPMSC of 10-100 million and more than 100 million. No correlation was found between TPMSC and clinical pregnancy in different strata of female age, infertility duration, type of infertility, type of IUI treatment, and the number of treatment cycles. A negative relationship was found for unstimulated IUI treatment and the number of treatment cycles. The prewash and postwash TPMSC showed no predictive value.

CONCLUSION

Prewash and postwash TPMSC have poor predictive value for clinical pregnancy in IUI. Cycles with a prewash TPMSC of 10-100 million or postwash TPMSC of 3-10 million could achieve acceptable pregnancy rates with IUI.