Objectives: Implantation failure is a major problem in reproductive medicine, and despite the various methods described for treatment, there is little consensus on the most effective method. This study was conducted to investigate the effect of intrauterine injection of platelet-rich plasma (PRP) on the pregnancy rate of patients with a history of implantation failure in the in vitro fertilization (IVF) cycle. Study Design: In this study, women attending the infertility clinic of Ali ibn Abi Taleb Hospital, who had a history of implantation failure and were candidates for frozen embryo transfer (FET), were examined in Zahedan (Iran) in 2019. The patients were divided into two groups of PRP recipients and the control group. IVF was performed routinely, and in the PRP-receiving group, an intrauterine injection was given 48 h before embryo transfer (ET). The number of gestational sacs, the rate of implantation, the frequency of chemical and clinical pregnancies as well as the frequency of abortion were compared in the two groups. The collected data were analyzed by the SPSS software version 21 Results: Ninety patients with a history of implantation failure participated in the study, and finally, the information of 85 patients was studied. The frequency of chemical pregnancy was 40% in the experimental group, 27% in the control group, and regarding clinical pregnancy, 33% in the experimental group and 24% in the control group, but there was no significant difference between the two groups. The rate of implantation, the mean thickness of the endometrium, and the frequency of abortion did not differ significantly between the two groups Conclusion: In patients with endometrial thickness greater than 8 mm with a history of recurrent implantation failure, intrauterine injection of PRP had no effect on the fertility outcome.

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Objective: Intrauterine insemination (IUI) is an assisted conception technique that involves the deposition of a processed semen sample in the upper uterine cavity, overcoming natural barriers to sperm ascent in the female reproductive tract. Hence, we compared the results of doing intra-uterine insemination 36 and 42 hours after human chorionic gonadotropin (hCG) hormone injection to achieve clinical and chemical pregnancy rates. Materials and methods: One hundred and sixty infertile women with unexplained infertility participated in this clinical trial. They were divided into two groups: those who underwent IUI 36 hours after hCG injection (control group), and those who underwent IUI 42 hours after hCG injection (case group). Statistical analyses were done using IBM-SPSS 25.0. and Chi-square test were used for data analysis. Results: The percentages of clinical and chemical pregnancies were significantly higher in the 42h group compared to the other group (P = 0.038 vs. P = 0.009, respectively). There was no significant difference regarding frequency of abortion, twin and ectopic pregnancies between the two groups (P > 0.05). Conclusion: Doing IUI 42 hours after hCG injection can significantly increase chances of fertility compared to doing it 36 hours after hCG injection.

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Background: Infertility is commonly treated through intrauterine insemination (IUI). However, a limited number of reports are available regarding the infectious complications including IUI. Case Report: This study presented the cases of bilateral tubo-ovarian abscesses after IUIs in a 40-year-old woman with secondary infertility. In addition, salpingectomy and hysterectomy were needed despite treatment with triple antibiotic. Moreover, the diagnosis of tubo-ovarian abscesses was confirmed by means of pathological evaluations. Further, the patient responded well to antibiotic therapy following the surgery. Conclusions: Given the ascending trend of pelvic infections, the IUI-assisted violation of the natural cervical barrier can theoretically pose higher risks of this complication to the patients. Therefore, pelvic infections are highly recommended to be rejected before IUI. Finally, the diagnosis and intervention are necessary for minimizing morbidity and optimize treatment as well.