Live birth outcomes following single-step blastocyst warming technique - optimizing efficiency without impacting live birth rates.

PURPOSE: To evaluate the impact of a single-step (SS) warming versus standard warming (SW) protocol on the survival/expansion of vitrified blastocysts and their clinical outcomes post-frozen embryo transfer (FET). METHODS: Retrospective analysis was performed on 200 vitrified/warmed research blastocysts equally divided amongst two thawing protocols utilizing the Fujifilm Warming NX kits (Fujifilm, CA). SW utilized the standard 14-minute manufacturer's guidelines. SS protocol required only a one-minute immersion in thaw solution (TS) before the embryos were transferred to culture media. A time-interrupted study was performed evaluating 752 FETs (SW: 376 FETs, SS 376 FETs) between April 2021-December 2022 at a single academic fertility clinic in Boston, Massachusetts. Embryologic, clinical pregnancy, and live birth outcomes were assessed using generalized estimated equation (GEE) models, which accounted for potential confounders. RESULTS: There was 100% survival for all blastocysts (n = 952 embryos) with no differences in blastocyst re-expansion regardless of PGT status. Adjusted analysis showed no differences in implantation, clinical pregnancy, spontaneous abortion, or biochemical pregnancy rate. A higher odds of multiple gestation [AdjOR(95%CI) 1.06 (1.01, 1.11), p = 0.019] were noted, even when adjusting for number of embryos transferred [AdjOR(95%CI) 1.05 (1.01, 1.10)]. Live birth outcomes showed no differences in live birth rates or birthweight at delivery. CONCLUSIONS: The study found equivalent outcomes for SS and SW in all parameters except for a slight rise in the rate of multiple gestations. The results suggest that SS warming is an efficient, viable alternative to SW, reducing thaw times without adverse effects on live birth rates or neonatal birth weights.

Trophectoderm grade as a predictor of beta human-chorionic gonadotropin rise in early pregnancy.

PURPOSE: To evaluate the association, if any, between the grade of the trophectoderm (TE) and the rate at which ß-human-chorionic gonadotropin (ß-HCG) rises in early pregnancy. METHODS: This is a retrospective cohort study including 1116 singleton clinical pregnancies resulting from in vitro fertilization with single day 5 blastocyst transfer at an academic fertility center. TE quality was assessed by trained embryologists employing standard criteria. Three groups were formed based on the TE grade: grade A (n = 358), grade B (n = 628), and grade C (n = 130). Main outcome measure was the rise (%) in serum levels of ß-HCG (days 12 to 14 post embryo transfer), using the following formula [(ß-HCG D14 - ß-HCG D12) * 100/ß-HCG D12]. RESULTS: Fresh embryo transfers accounted for 64.1% of the population. Overall, in adjusted models there were no significant differences in the ß-HCG% rise when comparing the TE grade C group to TE grade A [adjß (95%CI): 10.09 (- 0.05, 20.22)] or when comparing TE grade Β group to TE grade A [4.46 (- 2.97, 11.88)]. When the analysis was restricted to fresh embryo transfers, significant differences were observed in the % rise of ß-HCG when comparing the TE grade C group to TE grade A [adjß (95%CI): 21.71 (5.67, 37.74)], but not when comparing the TE grade B group to TE grade A [2.68 (- 5.59, 10.95)]. In frozen transfers, there were no significant differences. CONCLUSION: TE grade appears to impact early pregnancy serum ß-HCG levels in the setting of a fresh day 5 embryo transfer, even after adjusting for potential confounders.

The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status.

PURPOSE: To determine if creating voting ensembles combining convolutional neural networks (CNN), support vector machine (SVM), and multi-layer neural networks (NN) alongside clinical parameters improves the accuracy of artificial intelligence (AI) as a non-invasive method for predicting aneuploidy. METHODS: A cohort of 699 day 5 PGT-A tested blastocysts was used to train, validate, and test a CNN to classify embryos as euploid/aneuploid. All embryos were analyzed using a modified FAST-SeqS next-generation sequencing method. Patient characteristics such as maternal age, AMH level, paternal sperm quality, and total number of normally fertilized (2PN) embryos were processed using SVM and NN. To improve model performance, we created voting ensembles using CNN, SVM, and NN to combine our imaging data with clinical parameter variations. Statistical significance was evaluated with a one-sample t-test with 2 degrees of freedom. RESULTS: When assessing blastocyst images alone, the CNN test accuracy was 61.2% (± 1.32% SEM, n = 3 models) in correctly classifying euploid/aneuploid embryos (n = 140 embryos). When the best CNN model was assessed as a voting ensemble, the test accuracy improved to 65.0% (AMH; p = 0.1), 66.4% (maternal age; p = 0.06), 65.7% (maternal age, AMH; p = 0.08), 66.4% (maternal age, AMH, number of 2PNs; p = 0.06), and 71.4% (maternal age, AMH, number of 2PNs, sperm quality; p = 0.02) (n = 140 embryos). CONCLUSIONS: By combining CNNs with patient characteristics, voting ensembles can be created to improve the accuracy of classifying embryos as euploid/aneuploid from CNN alone, allowing for AI to serve as a potential non-invasive method to aid in karyotype screening and selection of embryos.

The impact of anti-Müllerian hormone on endometrial thickness in gonadotropin stimulation/intrauterine insemination cycles: is there an effect on pregnancy outcomes?

PURPOSE: To study the association, if any, between anti-Müllerian hormone (AMH) and pre-ovulatory endometrial thickness (ET) in gonadotropin/intrauterine insemination (IUI) cycles. METHODS: This retrospective cohort study included a total of 964 patients undergoing 1926 gonadotropin/IUI cycles at an academic fertility center. Primary outcome measure was the association between serum AMH and measured ET on the day of and the day before human chorionic gonadotropin hormone (hCG) ovulation trigger. The effect of a model combining AMH and ET on early pregnancy outcomes was a secondary measure. RESULTS: In 52.8% of cycles, ET was last assessed and recorded on the day of hCG administration, while in the remaining 47.2% on the day prior to trigger. In unadjusted regression models, AMH was weakly correlated with ET on hCG trigger day [bAMH (95%CI) = 0.032 (- 0.008, 0.070), p = 0.015]. When adjusting for potential confounders, the positive correlation became significant [0.051 (0.006, 0.102), p = 0.047]. Similar findings were observed when assessing the correlation between AMH and ET on the day prior to hCG trigger. ET was non-significantly associated with the odds of clinical pregnancy, when adjusting for potential confounders, except for when restricting the analysis to couples with idiopathic infertility [OR (95%CI), p-value: 0.787 (0.623, 0.993), 0.044]. CONCLUSION: Our findings support an effect of serum AMH on endometrial development in gonadotropin induced cycles, even when adjusting for the diagnosis of PCOS. ET was not associated with the odds of achieving a clinical pregnancy, except for couples with idiopathic infertility.

Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks.

PURPOSE: To determine if deep learning artificial intelligence algorithms can be used to accurately identify key morphologic landmarks on oocytes and cleavage stage embryo images for micromanipulation procedures such as intracytoplasmic sperm injection (ICSI) or assisted hatching (AH). METHODS: Two convolutional neural network (CNN) models were trained, validated, and tested over three replicates to identify key morphologic landmarks used to guide embryologists when performing micromanipulation procedures. The first model (CNN-ICSI) was trained (n = 13,992), validated (n = 1920), and tested (n = 3900) to identify the optimal location for ICSI through polar body identification. The second model (CNN-AH) was trained (n = 13,908), validated (n = 1908), and tested (n = 3888) to identify the optimal location for AH on the zona pellucida that maximizes distance from healthy blastomeres. RESULTS: The CNN-ICSI model accurately identified the polar body and corresponding optimal ICSI location with 98.9% accuracy (95% CI 98.5-99.2%) with a receiver operator characteristic (ROC) with micro and macro area under the curves (AUC) of 1. The CNN-AH model accurately identified the optimal AH location with 99.41% accuracy (95% CI 99.11-99.62%) with a ROC with micro and macro AUCs of 1. CONCLUSION: Deep CNN models demonstrate powerful potential in accurately identifying key landmarks on oocytes and cleavage stage embryos for micromanipulation. These findings are novel, essential stepping stones in the automation of micromanipulation procedures.

Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).

PURPOSE: Deep learning neural networks have been used to predict the developmental fate and implantation potential of embryos with high accuracy. Such networks have been used as an assistive quality assurance (QA) tool to identify perturbations in the embryo culture environment which may impact clinical outcomes. The present study aimed to evaluate the utility of an AI-QA tool to consistently monitor ART staff performance (MD and embryologist) in embryo transfer (ET), embryo vitrification (EV), embryo warming (EW), and trophectoderm biopsy (TBx). METHODS: Pregnancy outcomes from groups of 20 consecutive elective single day 5 blastocyst transfers were evaluated for the following procedures: MD performed ET (N = 160 transfers), embryologist performed ET (N = 160 transfers), embryologist performed EV (N = 160 vitrification procedures), embryologist performed EW (N = 160 warming procedures), and embryologist performed TBx (N = 120 biopsies). AI-generated implantation probabilities for the same embryo cohorts were estimated, as were mean AI-predicted and actual implantation rates for each provider and compared using Wilcoxon singed-rank test. RESULTS: Actual implantation rates following ET performed by one MD provider: "H" was significantly lower than AI-predicted (20% vs. 61%, p = 0.001). Similar results were observed for one embryologist, "H" (30% vs. 60%, p = 0.011). Embryos thawed by embryologist "H" had lower implantation rates compared to AI prediction (25% vs. 60%, p = 0.004). There were no significant differences between actual and AI-predicted implantation rates for EV, TBx, or for the rest of the clinical staff performing ET or EW. CONCLUSIONS: AI-based QA tools could provide accurate, reproducible, and efficient staff performance monitoring in an ART practice.

Artificial intelligence in the embryology laboratory: a review.

The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has yet to be achieved. One reason for this is the method of selecting an embryo for transfer. Morphological assessment of embryos is the traditional method of evaluating embryo quality and selecting which embryo to transfer. However, this subjective method of assessing embryos leads to inter- and intra-observer variability, resulting in less than optimal IVF success rates. To overcome this, it is common practice to transfer more than one embryo, potentially resulting in high-risk multiple pregnancies. Although time-lapse incubators and preimplantation genetic testing for aneuploidy have been introduced to help increase the chances of live birth, the outcomes remain less than ideal. Utilization of artificial intelligence (AI) has become increasingly popular in the medical field and is increasingly being leveraged in the embryology laboratory to help improve IVF outcomes. Many studies have been published investigating the use of AI as an unbiased, automated approach to embryo assessment. This review summarizes recent AI advancements in the embryology laboratory.

Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study.

PURPOSE: To determine whether convolutional neural networks (CNN) can be used to accurately ascertain the patient identity (ID) of cleavage and blastocyst stage embryos based on image data alone. METHODS: A CNN model was trained and validated over three replicates on a retrospective cohort of 4889 time-lapse embryo images. The algorithm processed embryo images for each patient and produced a unique identification key that was associated with the patient ID at a timepoint on day 3 (~ 65 hours post-insemination (hpi)) and day 5 (~ 105 hpi) forming our data library. When the algorithm evaluated embryos at a later timepoint on day 3 (~ 70 hpi) and day 5 (~ 110 hpi), it generates another key that was matched with the patient's unique key available in the library. This approach was tested using 400 patient embryo cohorts on day 3 and day 5 and number of correct embryo identifications with the CNN algorithm was measured. RESULTS: CNN technology matched the patient identification within random pools of 8 patient embryo cohorts on day 3 with 100% accuracy (n = 400 patients; 3 replicates). For day 5 embryo cohorts, the accuracy within random pools of 8 patients was 100% (n = 400 patients; 3 replicates). CONCLUSIONS: This study describes an artificial intelligence-based approach for embryo identification. This technology offers a robust witnessing step based on unique morphological features of each embryo. This technology can be integrated with existing imaging systems and laboratory protocols to improve specimen tracking.

Response to ovulation induction treatments in women with polycystic ovary syndrome as a function of serum anti-Müllerian hormone levels.

PURPOSE: To assess whether anti-Müllerian hormone (AMH) can predict response to ovulation induction (OI) with clomiphene citrate (CC), letrozole (LET), or follicle-stimulating hormone (FSH) in women with polycystic ovary syndrome (PCOS) undergoing OI/intrauterine inseminations (IUI). METHODS: A total of 738 OI/IUI cycles from 242 patients at an academic center were stratified in three groups by medication: CC (n = 295), LET (n = 180), and FSH (n = 263), in a retrospective fashion. Ovarian response to treatment (RT, development of at least one dominant follicle) was assessed using mixed effects logistic regression models. RESULTS: Overall, RT cycles had lower AMH levels compared to no-RT cycles (p < 0.001). This finding persisted when analysis was limited to oral agents but attenuated in FSH cycles. For CC and LET cycles, the predicted probability (PProb) for RT decreased as AMH levels increased (PProb (95%CI): 97% (93-100), 79% (70-88), and 75% (61-89); 85% (78-93), 75% (67-83), and 73% (63-86) for AMH pct.: ≤ 25th, ≥ 50th, and ≥ 75th, for CC and LET, respectively)). However, RT was noted in 98.5% of FSH/IUI cycles regardless of AMH. For CC cycles, those with AMH ≥ 75th pct. had lower odds for RT over cycles with AMH < 75th pct. (OR 0.2, 95%CI 0.04-0.8, p = 0.02). Similarly, lower odds for RT were observed in LET cycles with AMH ≥ 75th pct. (0.6, 0.3-1.4, p = 0.25). CONCLUSION: In PCOS, increasing serum AMH levels are associated with lower probability of RT to oral agents. Our findings constitute a valuable tool for the clinician when counseling PCOS patients and designing a personalized ovulation induction treatment strategy.

Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory.

Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality management system because it impacts clinical outcomes and informs the key performance indicators (KPIs) used to continuously monitor and assess culture conditions. Contemporary quality control and assurance in the IVF lab can be automated (collect, store, retrieve, and analyze), to elevate quality control and assurance beyond the cursory monthly review. Here we demonstrate that statistical KPI monitoring systems for individual embryologist performance and culture conditions can be detected by artificial intelligence systems to provide systemic, early detection of adverse outcomes, and identify clinically relevant shifts in pregnancy rates, providing critical validation for two statistical process controls proposed in the Vienna Consensus Document; intracytoplasmic sperm injection (ICSI) fertilization rate and day 3 embryo quality.

The effect of follicular phase length on cycle outcomes and endometrial development in gonadotrophin ovarian stimulation/intrauterine insemination cycles.

RESEARCH QUESTION: Does a shorter follicular phase length (FPL) affect cycle outcomes and endometrial development among women undergoing gonadotrophin ovarian stimulation/intrauterine insemination (OS/IUI)? DESIGN: Retrospective cohort study of 4773 OS/IUI cycles among 2054 patients. FPL was analysed first continuously, then dichotomously using an arbitrary cut-off at the 15th percentile (8 days) to divide cycles into shorter and longer FPL groups. Receiver operating characteristic (ROC) curves were constructed to further analyse the impact of FPL on all outcomes. Primary outcomes included clinical pregnancy, spontaneous abortion, multiple pregnancy and non-viable (ectopic/biochemical) pregnancy rates (CPR, SABR, MPR and NVPR, respectively). Secondary outcomes included endometrial thickness. All analyses controlled for age, day 3 FSH and body mass index. RESULTS: When analysing FPL continuously, CPR increased by 6.0% (adjusted odds ratio [aOR] 1.06, 95% CI 1.03-1.09, P < 0.001) with each additional follicular phase day. Similarly, in the dichotomous analysis, cycles with a longer FPL resulted in higher CPR with 45% higher odds of clinical pregnancy (aOR 1.45, 95% CI 1.07-1.97, P = 0.018). No effect of FPL was noted on NVPR, SABR or MPR. Endometrial thickness increased by 0.09 mm (95% CI 0.06-0.12, P < 0.001) with each additional FPL day and was increased in the longer compared with the shorter FPL group (adjusted mean difference 1.08 mm, 95% CI 0.81-1.34, P < 0.001). CONCLUSIONS: The data suggest that in gonadotrophin OS/IUI cycles, FPL might impact both chance of clinical pregnancy and endometrial thickness, independent of maternal age and ovarian reserve.

Placental weight in relation to maternal and paternal preconception and prenatal urinary phthalate metabolite concentrations among subfertile couples.

INTRODUCTION: Phthalates are known reproductive toxicants that reduce placental and fetal weight in experimental animal studies. Although phthalate exposure has been associated with reduced birth weight in humans, there is limited epidemiologic evidence on whether the placenta is also affected. OBJECTIVE: To assess whether maternal and paternal preconception and prenatal urinary phthalate metabolite concentrations are associated with placental weight, and the birth weight: placental weight (BW:PW) ratio among singletons conceived by subfertile couples. METHODS: The present analysis included 132 mothers and 68 fathers, and their corresponding 132 singletons recruited in an academic hospital fertility center in Boston, Massachusetts. Urinary concentrations of eleven phthalate metabolites were measured and averaged in multiple paternal (n = 196) and maternal (n = 596) preconception, and maternal prenatal (n = 328) samples. Placental weight and birth weight (grams) were abstracted from delivery records, and the BW:PW was calculated. We estimated the association of natural log-phthalate metabolite concentrations across windows of exposure with placental weight and the BW:PW ratio using multivariable linear regression models, adjusting for a priori covariates. RESULTS: In adjusted models, each log-unit increase in paternal urinary concentrations of the sum of di-(2-ethylhexyl) phthalate (ΣDEHP) metabolites was associated with a 24 g (95% CI: -48, -1) decrease in placental weight. We also observed a significant negative association between maternal preconception monoethyl phthalate (MEP) metabolite concentrations and the BW:PW ratio (ß = -0.26; 95%CI: -0.49, -0.04). Additionally, each log-unit increase in prenatal MEP metabolite concentrations was associated with a 24 g (95% CI: -41, -7) decrease in placental weight. CONCLUSIONS: Our results suggest that certain paternal and maternal urinary phthalate metabolites may affect placental weight and the BW:PW ratio. However, given the small sample size within a subfertile cohort and the novelty of these findings, more studies are needed to confirm the present results.

Mitotically Active Leiomyoma in a Woman with Mayer-Rokitansky-Küster-Hauser Syndrome: A Case Report.

BACKGROUND: Cases of women with Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome developing leiomyomata are rare. A case with mitotically active leiomyomata has not previously been described to our knowledge. CASE: A 43-year-old woman with MRKH syndrome found to have an incidental pelvic mass on imaging studies underwent a diagnostic laparoscopy, followed by resection of leiomyomata and uterine remnant via mini laparotomy. Histopathology revealed focal infarction associated with a mitotically active area in one of the leiomyomata but with no evidence of marked cytologic atypia or hypercellularity. Focal adenomyosis was also noted. CONCLUSION: Studies have shown that mitotically active smooth cell tumors of the uterus having 5-9 mitoses/10 hpf and no cellular atypia have a metastatic rate too low to be regarded as sarcomas. Although the pathology findings in this case are benign with no need for continued surveillance by gynecologic oncology, regular follow-up with a gynecologist annually may be indicated for early diagnosis of recurrence secondary to the uncommon characteristics of this benign tumor, especially in this rare category of patients with Müllerian agenesis. Mitotically active leiomyomata can occur in patients with Müllerian agenesis, but the likelihood that a pelvic mass in a patient with MRKH syndrome is a sarcoma is extremely low.

Elevated day 3 follicle-stimulating hormone in younger women: is gonadotropin stimulation/intrauterine insemination a good option?

OBJECTIVE: The objective of the study was to determine the fecundity of young women (<35 years) with an elevated day 3 follicle stimulating hormone (FSH) undergoing gonadotropin-stimulation/intrauterine insemination. STUDY DESIGN: This was a retrospective study. The study was conducted at an academic fertility center. A total of 1396 gonadotropin stimulation/intrauterine insemination cycles from 563 women were stratified by day 3 FSH levels (<10 vs ≥10 U/L) and outcomes were compared. Gonadotropin dose, treatment duration, peak estradiol (E2), number of preovulatory follicles (total, large, and medium size), E2/follicle, endometrial thickness, spontaneous abortion, clinical and multiple pregnancy rates were measured. The statistics included a Student t test, a χ(2), regression, and a discrete survival analysis. RESULTS: An elevated day 3 FSH was found in 10.2% of the women, despite favorable age (31.9 ± 2.5 years). Women with a day 3 FSH of 10 U/L or greater when compared with women with a normal day 3 level required significantly more medication (1058.9 ± 1106.0 vs 632.7 ± 477.5 IU, P < .0001) were triggered a day earlier (10.6 ± 2.4 vs 11.5 ± 2.9 days, P = .0006) and had E2 levels (on the day of and the day prior to human chorionic gonadotropin administration) that were significantly higher (529.5 ± 244.3 vs 450.0 ± 244.2 and 359.6 ± 141.7 vs 306.8 ± 160.9 pg/mL, respectively, P < .05). Clinical pregnancy rates were comparable among the groups (14.6 vs 14%, respectively, P > .05). Spontaneous abortion and multiple pregnancy rates were higher among women with an FSH of 10U/L or greater but not significantly so (27.8% vs 12.0%, 22.2% vs 13.8% for FSH of ≥10 vs FSH < or >10 U/L, P > .05). CONCLUSION: Women younger than 35 years with an elevated day 3 FSH, when treated aggressively with gonadotropins have pregnancy rates comparable with those of women with a normal baseline FSH. To achieve this outcome, they need higher doses of medication to stimulate the production of a larger preovulatory follicular cohort.

The impact of clomiphene citrate on the endometrium in comparison to gonadotropins in intrauterine insemination cycles: is it thinner and does it matter?

Objective: To determine whether endometrial thickness (EMT) differs between i) clomiphene citrate (CC) and gonadotropin (Gn) utilizing patients as their own controls, and ii) patients who conceived with CC and those who did not. Furthermore, to investigate the association between late-follicular EMT and pregnancy outcomes, in CC and Gn cycles. Methods: Retrospective study. Three sets of analyses were conducted separately for the purpose of this study. In analysis 1, we included all cycles from women who initially underwent CC/IUI (CC1, n=1252), followed by Gn/IUI (Gn1, n=1307), to compare EMT differences between CC/IUI and Gn/IUI, utilizing women as their own controls. In analysis 2, we included all CC/IUI cycles (CC2, n=686) from women who eventually conceived with CC during the same study period, to evaluate EMT differences between patients who conceived with CC (CC2) and those who did not (CC1). In analysis 3, pregnancy outcomes among different EMT quartiles were evaluated in CC/IUI and Gn/IUI cycles, separately, to investigate the potential association between EMT and pregnancy outcomes. Results: In analysis 1, when CC1 was compared to Gn1 cycles, EMT was noted to be significantly thinner [Median (IQR): 6.8 (5.5-8.0) vs. 8.3 (7.0-10.0) mm, p<0.001]. Within-patient, CC1 compared to Gn1 EMT was on average 1.7mm thinner. Generalized linear mixed models, adjusted for confounders, revealed similar results (coefficient: 1.69, 95% CI: 1.52-1.85, CC1 as ref.). In analysis 2, CC1 was compared to CC2 EMT, the former being thinner both before [Median (IQR): 6.8 (5.5-8.0) vs. 7.2 (6.0-8.9) mm, p<0.001] and after adjustment (coefficient: 0.59, 95%CI: 0.34-0.85, CC1 as ref.). In analysis 3, clinical pregnancy rates (CPRs) and ongoing pregnancy rates (OPRs) improved as EMT quartiles increased (Q1 to Q4) among CC cycles (p<0.001, p<0.001, respectively), while no such trend was observed among Gn cycles (p=0.94, p=0.68, respectively). Generalized estimating equations models, adjusted for confounders, suggested that EMT was positively associated with CPR and OPR in CC cycles, but not in Gn cycles. Conclusions: Within-patient, CC generally resulted in thinner EMT compared to Gn. Thinner endometrium was associated with decreased OPR in CC cycles, while no such association was detected in Gn cycles.

Case series of tubo-ovarian abscesses after saline infusion sonohysterography: reconsidering antibiotic prophylaxis.

Saline infusion sonohysterography (SIS) is useful for evaluating intrauterine pathology, particularly for patients with abnormal uterine bleeding and during assessment of infertility. Infectious complications are relatively rare, and tubo-ovarian abscess (TOA) after SIS has only been reported once in the literature. We present two additional cases of TOA after SIS that presented to our institution. First, a 40-year-old female with known endometriosis and bilateral tubal occlusion, presented with ruptured TOA fifteen days after SIS during fertility evaluation. The second, a 45-year-old female with endometriomas and a hydrosalpinx identified on SIS, diagnosed with TOAs four days after SIS for abnormal uterine bleeding evaluation. While hysterosalpingogram has defined antibiotic prophylaxis criteria, and despite likely similar mechanisms for ascending infections, current guidelines do not recommend prophylaxis after SIS. These cases suggest infectious complications, such as TOA, after SIS may be more common than previously reported, and as demonstrated by these cases can have serious clinical consequences for patients. Furthermore, by comparing to a technically similar procedure as HSG, it may be reasonable to consider if certain patients at high risk of complication may benefit from antibiotic prophylaxis to prevent serious clinical infections.

The impact of different sperm preparation methods on clinical pregnancy and live birth rates in intrauterine insemination cycles: a retrospective single-center cohort study.

OBJECTIVE: To assess the impact of 2 different sperm preparation methods, density gradient centrifugation and simple wash, on clinical pregnancy and live birth rates in intrauterine insemination (IUI) cycles with and without ovulation induction. DESIGN: Retrospective single-center cohort study. SETTING: Academic fertility center. PATIENTS: In total, 1,503 women of all diagnoses sought IUI with fresh-ejaculated sperm. EXPOSURE: Cycles were divided into 2 groups on the basis of sperm preparation technique: density gradient centrifugation (n = 1,687, unexposed group) and simple wash (n = 1,691, exposed group). MAIN OUTCOME MEASURES: Primary outcome measures consisted of clinical pregnancy and live birth rates. Furthermore, adjusted odds ratios and 95% confidence intervals for each outcome were calculated and compared between the 2 sperm preparation groups. RESULTS: Odds ratios did not differ between density gradient centrifugation and simple wash groups for clinical pregnancy and live birth (1.10 [0.67-1.83] and 1.08 [0.85-1.37], respectively). Additionally, when cycles were stratified using ovulation induction rather than adjusted for, no differences in clinical pregnancy and live birth odds were noted between sperm preparation groups (gonadotropins: 0.93 [0.49-1.77] and 1.03 [0.75-1.41]; oral agents: 1.78 [0.68-4.61] and 1.05 [0.72-1.53]; unassisted: 0.08 [0.001-6.84] and 2.52 [0.63-10.00], respectively). Furthermore, no difference was seen in clinical pregnancy or live birth when cycles were stratified using sperm score or when the analysis was limited to first cycles only. CONCLUSION: Overall, no difference was noted in clinical pregnancy or live birth rates between patients who received simple wash vs. density gradient-prepared sperm, suggesting similar clinical efficacy between the 2 techniques for IUI. Because the simple wash technique is more time-efficient and cost-effective compared with the density gradient, adoption of this technique could lead to comparable clinical pregnancy and live birth rates for IUI cycles, although optimizing teamwork flow and coordination of care.

The impact of cryopreserved sperm on intrauterine insemination outcomes: is frozen as good as fresh?

Introduction: Frozen sperm utilization might negatively impact cycle outcomes in animals, implicating cryopreservation-induced sperm damage. However, in vitro fertilization and intrauterine insemination (IUI) in human studies are inconclusive. Methods: This study is a retrospective review of 5,335 IUI [± ovarian stimulation (OS)] cycles from a large academic fertility center. Cycles were stratified based on the utilization of frozen (FROZEN, n = 1,871) instead of fresh ejaculated sperm (FRESH, n = 3,464). Main outcomes included human chorionic gonadotropin (HCG) positivity, clinical pregnancy (CP), and spontaneous abortion (SAB) rates. Secondary outcome was live birth (LB) rate. Odds ratios (OR) for all outcomes were calculated utilizing logistic regression and adjusted (adjOR) for maternal age, day-3 FSH, and OS regimen. Stratified analysis was performed based on OS subtype [gonadotropins; oral medications (OM): clomiphene citrate and letrozole; and unstimulated/natural]. Time to pregnancy and cumulative pregnancy rates were also calculated. Further subanalyses were performed limited to either the first cycle only or to the partner's sperm only, after excluding female factor infertility, and after stratification by female age (<30, 30-35, and >35 years old). Results: Overall, HCG positivity and CP were lower in the FROZEN compared to the FRESH group (12.2% vs. 15.6%, p < 0.001; 9.4% vs. 13.0%, p < 0.001, respectively), which persisted only among OM cycles after stratification (9.9% vs. 14.2% HCG positivity, p = 0.030; 8.1% vs. 11.8% CP, p = 0.041). Among all cycles, adjOR (95% CI) for HCG positivity and CP were 0.75 (0.56-1.02) and 0.77 (0.57-1.03), respectively, ref: FRESH. In OM cycles, adjOR (95% CI) for HCG positivity [0.55 (0.30-0.99)] and CP [0.49 (0.25-0.95), ref.: FRESH] favored the FRESH group but showed no differences among gonadotropin and natural cycles. SAB odds did not differ between groups among OM and natural cycles but were lower in the FROZEN group among gonadotropin cycles [adjOR (95% CI): 0.13 (0.02-0.98), ref.: FRESH]. There were no differences in CP and SAB in the performed subanalyses (limited to first cycles or partner's sperm only, after excluding female factors, or after stratification according to female age). Nevertheless, time to conception was slightly longer in the FROZEN compared to the FRESH group (3.84 vs. 2.58 cycles, p < 0.001). No significant differences were present in LB and cumulative pregnancy results, other than in the subgroup of natural cycles, where higher LB odds [adjOR (95% CI): 1.08 (1.05-1.12)] and higher cumulative pregnancy rate (34% vs. 15%, p = 0.002) were noted in the FROZEN compared to the FRESH group. Conclusion: Overall, clinical outcomes did not differ significantly between frozen and fresh sperm IUI cycles, although specific subgroups might benefit from fresh sperm utilization.

The effect of semen collection at home on intrauterine insemination outcomes.

BACKGROUND: The WHO 2010 guidelines recognize at-home semen collection as an acceptable alternative to standard collection at the clinic in "exceptional circumstances." There is lack of sufficient data to determine the need for revisiting these recommendations for treatment purposes. OBJECTIVES: To determine whether at-home semen collection has any effect on intrauterine insemination (IUI) cycle outcomes. MATERIALS AND METHODS: This is a retrospective cohort study of 729 IUI treatment cycles (382 patients) performed at an academic fertility center from September 19, 2019 to December 31, 2020. Semen collected at the "clinic" was used for 343 cycles before the Coronavirus Disease 2019 (COVID-19) pandemic (September 19, 2019 to March 21, 2020), and "at-home" collected specimens were used for 386 cycles following revised protocols with COVID-19-driven changes (May 30, 2020 to December 31, 2020). Logistic regression models were performed to evaluate the effect of "at-home" semen collection on achieving a positive pregnancy test (PPT) and a clinical pregnancy (CP). RESULTS: Male and female partners' age, ovarian reserve biomarkers, and stimulation regimens used were similar in the "clinic" and "at-home" groups. In unadjusted models, "at-home" collection had no significant effect on the odds for a PPT [OR (95%CI): 0.733 (0.503-1.069)] or CP [0.816 (0.543-1.226)]. These results persisted even when adjusting for maternal age and anti-Müllerian hormone: PPT [0.739 (0.505-1.081)] and CP [0.826 (0.547-1.248)]. Of the semen analysis parameters under evaluation, only motility appeared to significantly impact the odds of achieving a PPT [1.014 (1.004-1.025)] and a CP [1.017 (1.006-1.029)]. This effect was slightly attenuated for samples collected "at-home" [1.012 (0.997-1.027) and 1.015 (0.999-1.031), respectively, for PPT and CP]. DISCUSSION: This study adds important information to the limited literature regarding the effect of at-home semen collection on IUI outcomes. Under adequate protocols, at-home semen collection should be considered a safe alternative. Additional research is needed to optimize such protocols. CONCLUSION: Our data suggest that at-home semen collection does not negatively impact IUI pregnancy outcomes.