Prepregnancy plant-based diets and risk of hypertensive disorders of pregnancy.

BACKGROUND: Plant-based diets have been associated with a lower risk of cardiovascular disease in nonpregnant adults, but specific evidence for their effects on risk of hypertensive disorders of pregnancy is scarce. OBJECTIVE: This study aimed to evaluate the prospective association between adherence to plant-based diets before pregnancy and the risk for hypertensive disorders of pregnancy. We hypothesized that women with higher adherence to plant-based diets would have a lower risk for hypertensive disorders of pregnancy. STUDY DESIGN: We followed 11,459 parous women (16,780 singleton pregnancies) without chronic diseases, a history of preeclampsia, and cancers who participated in the Nurses' Health Study II (1991-2009), which was a prospective cohort study. Diet was assessed every 4 years using a validated food frequency questionnaire from which we calculated the plant-based diet index (higher score indicates higher adherence) to evaluate the health associations of plant-based diets among participants while accounting for the quality of plant-based foods. Participants self-reported hypertensive disorders of pregnancy, including preeclampsia and gestational hypertension. We estimated the relative risk of hypertensive disorders of pregnancy in relation to plant-based diet index adherence in quintiles using generalized estimating equations log-binomial regression while adjusting for potential confounders and accounting for repeated pregnancies for the same woman. RESULTS: The mean (standard deviation) age at first in-study pregnancy was 35 (4) years. A total of 1033 cases of hypertensive disorders of pregnancy, including 482 cases of preeclampsia (2.9%) and 551 cases of gestational hypertension (3.3%) were reported. Women in the highest quintile of plant-based diet index were significantly associated with a lower risk for hypertensive disorders of pregnancy than women in the lowest quintile (relative risk, 0.76; 95% confidence interval, 0.62-0.93). There was an inverse dose-response relationship between plant-based diet index and risk for hypertensive disorders of pregnancy. The multivariable-adjusted relative risk (95% confidence interval) of hypertensive disorders of pregnancy for women in increasing quintiles of plant-based diet index were 1 (ref), 0.93 (0.78-1.12), 0.86 (0.72-1.03), 0.84 (0.69-1.03), and 0.76 (0.62-0.93) with a significant linear trend across quintiles (P trend=.005). This association was slightly stronger for gestational hypertension (relative risk, 0.77; 95% confidence interval, 0.60-0.99) than for preeclampsia (relative risk, 0.80; 95% confidence interval, 0.61-1.04). Mediation analysis suggested that body mass index evaluation for dietary assessment and pregnancy explained 39% (95% confidence interval, 15%-70%]) of the relation between plant-based diet index and hypertensive disorders of pregnancy and 48% (95% confidence interval, 12%-86%]) of the relation between plant-based diet index and gestational hypertension. CONCLUSION: Higher adherence to plant-based diets was associated with a lower risk of developing hypertensive disorders of pregnancy. Much of the benefit seems to be related to improved weight control.

Predictors of Serum Per- and Polyfluoroalkyl Substances Concentrations among U.S. Couples Attending a Fertility Clinic.

Previous studies have examined the predictors of PFAS concentrations among pregnant women and children. However, no study has explored the predictors of preconception PFAS concentrations among couples in the United States. This study included 572 females and 279 males (249 couples) who attended a U.S. fertility clinic between 2005 and 2019. Questionnaire information on demographics, reproductive history, and lifestyles and serum samples quantified for PFAS concentrations were collected at study enrollment. We examined the PFAS distribution and correlation within couples. We used Ridge regressions to predict the serum concentration of each PFAS in females and males using data of (1) socio-demographic and reproductive history, (2) diet, (3) behavioral factors, and (4) all factors included in (1) to (3) after accounting for temporal exposure trends. We used general linear models for univariate association of each factor with the PFAS concentration. We found moderate to high correlations for PFAS concentrations within couples. Among all examined factors, diet explained more of the variation in PFAS concentrations (1-48%), while behavioral factors explained the least (0-4%). Individuals reporting White race, with a higher body mass index, and nulliparous women had higher PFAS concentrations than others. Fish and shellfish consumption was positively associated with PFAS concentrations among both females and males, while intake of beans (females), peas (male), kale (females), and tortilla (both) was inversely associated with PFAS concentrations. Our findings provide important data for identifying sources of couples' PFAS exposure and informing interventions to reduce PFAS exposure in the preconception period.

Maternal and Paternal Preconception Serum Concentrations of Per and Polyfluoroalkyl Substances in Relation to Birth Outcomes.

Prenatal per and polyfluoroalkyl substances (PFAS) exposure is associated with adverse birth outcomes. There is an absence of evidence on the relationship between maternal and paternal preconception PFAS exposure and birth outcomes. This study included 312 mothers and 145 fathers with a singleton live birth from a preconception cohort of subfertile couples seeking fertility treatment at a U.S. clinic. PFAS were quantified in serum samples collected before conception. Gestational age (GA) and birthweight (BW) were abstracted from delivery records. We also assessed low birthweight (BW < 2500 g) and preterm birth (GA < 37 completed weeks). We utilized multivariable linear regression, logistic regression, and quantile-based g computation to examine maternal or paternal serum concentrations of individual PFAS and mixture with birth outcomes. Maternal serum concentrations of perfluorooctanesulfonate (PFOS), perfluorohexanesulfonate (PFHxS), and the total PFAS mixture were inversely associated with birthweight. Maternal PFOS concentration was associated with a higher risk of low birthweight. Conversely, paternal PFOS and PFHxS concentrations were imprecisely associated with higher birthweight. No associations were found for gestational age or preterm birth. The findings have important implications for preconception care. Future research with larger sample sizes would assist in validating these findings.

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.

Serum and follicular fluid metabolome and markers of ovarian stimulation.

STUDY QUESTION: What metabolic pathways and metabolites in the serum and follicular fluid are associated with peak estradiol levels and the number of mature oocytes? SUMMARY ANSWER: In the serum metabolome, mostly fatty acid and amino acid pathways were associated with estradiol levels and mature oocytes while in the follicular fluid metabolome, mostly lipid, vitamin, and hormone pathways were associated with peak estradiol levels and mature oocytes. WHAT IS KNOWN ALREADY: Metabolomics has identified several metabolic pathways and metabolites associated with infertility but limited data are available for ovarian stimulation outcomes. STUDY DESIGN, SIZE, DURATION: A prospective cohort study of women undergoing IVF from 2009 to 2015. PARTICIPANTS/MATERIALS, SETTING, METHODS: A total of 125 women undergoing a fresh IVF cycle at a fertility clinic in the Northeast United States who provided a serum and follicular fluid sample. Untargeted metabolomics profiling was conducted using liquid chromatography with high-resolution mass spectrometry in two chromatography columns (C18 and hydrophilic interaction chromatography (HILIC)). The main ovarian stimulation outcomes were peak serum estradiol levels and number of mature oocytes. We utilized adjusted generalized linear regression models to identify significant metabolic features. Models were adjusted for age,BMI, initial infertility diagnosis, and ovarian stimulation protocol. We then conducted pathway analysis using mummichog and metabolite annotation using level-1 evidence. MAIN RESULTS AND ROLE OF CHANCE: In the serum metabolome, 480 and 850 features were associated with peak estradiol levels in the C18 and HILIC columns, respectively. Additionally, 437 and 538 features were associated with mature oocytes in the C18 and HILIC columns, respectively. In the follicular fluid metabolome, 752 and 929 features were associated with peak estradiol levels in the C18 and HILIC columns, respectively, Additionally, 993 and 986 features were associated with mature oocytes in the C18 and HILIC columns, respectively. The most common pathways associated with peak estradiol included fatty acids (serum and follicular fluid), hormone (follicular fluid), and lipid pathways (follicular fluid). The most common pathways associated with the number of mature oocytes retrieved included amino acids (serum), fatty acids (serum and follicular fluid), hormone (follicular fluid), and vitamin pathways(follicular fluid). The vitamin D3 pathway had the strongest association with both ovarian stimulation outcomes in the follicularfluid. Four and nine metabolites were identified using level-1 evidence (validated identification) in the serum and follicular fluid metabolomes, respectively. LIMITATIONS, REASONS FOR CAUTION: Our sample was majority White and highly educated and may not be generalizable to thewider population. Additionally, residual confounding is possible and the flushing medium used in the follicular fluid could have diluted our results. WIDER IMPLICATIONS OF THE FINDINGS: The pathways and metabolites identified by our study provide novel insights into the biologicalmechanisms in the serum and follicular fluid that may underlie follicular and oocyte development, which could potentially be used to improve ovarian stimulation outcomes. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the following grants from the National Institute of Environmental Health Sciences (P30-ES019776, R01-ES009718, R01-ES022955, P30-ES000002, R00-ES026648, and T32-ES012870), and National Institute of Diabetes and Digestive and Kidney Diseases (P30DK046200). The authors have no competing interests to disclose. TRIAL REGISTRATION NUMBER: N/A.

Occupational factors and markers of testicular function among men attending a fertility center.

STUDY QUESTION: Are occupational factors associated with markers of testicular function among men attending a fertility center? SUMMARY ANSWER: Men working non-daytime/rotating shifts and those with physically demanding jobs have higher sperm concentration and total sperm count as well as higher estradiol and total testosterone concentrations. WHAT IS KNOWN ALREADY: Semen quality has declined during recent decades and has been negatively correlated with higher risks of common chronic diseases and mortality, highlighting its public health importance beyond fertility and reproduction. While most of the previous epidemiology literature on male fertility has focused on environmental exposures, dietary factors, and other related variables, little attention has been paid to occupational factors. STUDY DESIGN, SIZE, DURATION: This observational study included 377 men who were male partners in couples seeking infertility treatment at a fertility center, who enrolled in the Environment and Reproductive Health (EARTH) study between 2005 and 2019. PARTICIPANTS/MATERIALS, SETTING, METHODS: Self-reported information on lifting/moving heavy objects, typical shift, and physical level of exertion at work was collected from a take-home questionnaire. Semen samples were analyzed following World Health Organization guidelines. Enzyme immunoassays were used to assess reproductive hormone concentrations. Linear regression models were used to evaluate the association between occupational factors and measures of testicular function, while adjusting for covariates such as age, BMI, education, race, smoking, and abstinence time, and accounting for multiple semen samples (mean = 2, min-max = 1-9) in analyses for semen parameters. MAIN RESULTS AND THE ROLE OF CHANCE: Men had a median (interquartile range) age of 36 (33, 39) years and were predominantly Caucasian (87%). Of the men who completed the survey, 12% reported often lifting or moving heavy objects at work, 6% reported heavy physical exertion at work, and 9% reported evening or rotating shifts. Men who reported often lifting or moving heavy objects at work had 46% higher sperm concentrations (P = 0.01) and 44% higher total counts (P = 0.01) compared with men who reported never lifting or moving heavy objects at work. Similar results were found for men working in rotating shifts compared to those in day shifts, as well as for men involved in heavy levels of physical exertion compared to those with light levels at work. We also found that men involved in heavy/moderate levels of physical exertion at work had higher circulating testosterone concentrations compared to those with lighter exertion (adjusted means of 515 and 427 ng/dl, respectively, P = 0.08), and men who often moved/lifted heavy objects at work had higher estradiol concentrations, compared to those who never did (adjusted means of 36.8 and 27.1 pg/ml, respectively, P = 0.07). Men working evening/rotating shifts had 24% higher testosterone (P = 0.04) and 45% higher estradiol concentrations (P = 0.01), compared to men working day shifts. No associations were observed for ejaculated volume, total motility, morphologically normal sperm, or serum FSH and LH concentrations. LIMITATIONS, REASONS FOR CAUTION: Due to our study design which recruited men from couples seeking fertility treatment, it may not be possible to generalize our findings to men from the general population. Also, as is the case of all studies based on self-reported questionnaires, measurement error and misclassification of the exposure are potential concerns. WIDER IMPLICATIONS OF THE FINDINGS: Physically demanding jobs and rotating or evening shift occupations may be associated with higher testicular function in men measured as higher sperm concentrations and counts as well as higher serum testosterone and estradiol levels. Confirmation of these findings in other non-fertility clinic study populations is warranted. STUDY FUNDING/COMPETING INTEREST(S): NIH grants R01ES022955, R01ES009718, R01ES033651, and R01ES000002 from the National Institute of Environmental Health Sciences (NIEHS) and Legacy, Inc. R.A.G. works part time for Legacy, Inc., which provided funds to perform this analysis. There are no other conflicts of interest. TRIAL REGISTRATION NUMBER: N/A.

Perceived stress and markers of ovarian reserve among subfertile women.

RESEARCH QUESTION: Is self-reported psychological stress associated with markers of ovarian reserve among subfertile women? DESIGN: Observational study of women (n = 520) seeking fertility care at the Massachusetts General Hospital who enrolled in the Environment and Reproductive Health study between 2005 and 2019. Women completed the short version of the validated PSS4, which assesses psychological stress. Ovarian reserve markers included AFC and circulating serum levels of day-3 FSH, with AMH assessed in a subset of participants (n = 185). RESULTS: Higher total PSS4 scores were negatively associated with AFC and serum AMH levels. Analyses adjusted for age, BMI, race, smoking, education, physical activity and type of infertility diagnosis. Women in the second and third tertiles of stress had lower AFC (13.3, 95% CI 12.7 to 13.8; and 13.5, 95% CI 13.0 to 14.1) compared with women in the lowest tertile of psychological stress score (14.3, 95% CI 13.8 to 14.9, both P < 0.05). Women in the second and third tertiles of total PSS4 scores also had lower mean serum AMH compared with women in the lowest tertile (2.99, 95% CI 2.24 to 3.74), and (2.99 95% CI 2.22 to 3.76) versus (3.94 95% CI 3.23 to 4.64). These associations varied by several socioeconomic factors, and were observed among women who were younger, belonging to minority races, with a college degree or with annual household income less than $100,000. CONCLUSIONS: Higher perceived stress was negatively associated with AFC and serum AMH levels. These associations varied by several socioeconomic factors.

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.

Women's and men's intake of omega-3 fatty acids and their food sources and assisted reproductive technology outcomes.

BACKGROUND: Long-chain omega-3 fatty acids and their food sources have garnered interest as a potential nutrient with wide-range health benefits, including fertility. OBJECTIVE: This study aimed to investigate the association of women's and men's intake of omega-3 fatty acids and omega-3 rich-foods with semen quality and outcomes of infertility treatment with assisted reproductive technologies. STUDY DESIGN: Couples presenting to the Massachusetts General Hospital were invited to enroll in a prospective cohort study (2007-2020). Male and female diets were assessed using a validated 131-item food frequency questionnaire. The primary outcomes were implantation, clinical pregnancy, and live birth probabilities. The secondary outcomes included total and clinical pregnancy loss and conventional semen parameters, for males only. We estimated the relationship between intakes of omega-3 fatty acids, nuts, and fish and the probability (95% confidence interval) of study outcomes using generalized linear mixed models to account for repeated treatment cycles per participant while simultaneously adjusting for age, body mass index, smoking status, education, dietary patterns, total energy intake, and male partner diet. RESULTS: A total of 229 couples and 410 assisted reproductive technology cycles were analyzed for primary and secondary outcomes. Of note, 343 men contributing 896 semen samples were included in analyses for semen quality measures. Women's docosahexaenoic acid + eicosapentaenoic acid intake was positively associated with live birth. The multivariable-adjusted probabilities of live birth for women in the bottom and top quartiles of eicosapentaenoic acid + docosahexaenoic acid intake were 0.36 (95% confidence interval, 0.26-0.48) and 0.54 (95% confidence interval, 0.42-0.66) (P trend=.02). Eicosapentaenoic acid + docosahexaenoic acid intake was inversely related to the risk of pregnancy loss, which was 0.53 among women in the lowest quartile of eicosapentaenoic acid + docosahexaenoic acid intake and 0.05 among women in the highest quartile (P trend=.01). Men's intake of total omega-3 fatty acids was positively related to sperm count, concentration, and motility, but unrelated to any assisted reproductive technology outcomes. Similar associations were observed when evaluating the intake of primary food sources of these fatty acids. CONCLUSION: Women's consumption of omega-3 fatty acids and omega-3-rich foods may improve the probability of conception by decreasing the risk of pregnancy loss. In addition, men's intake of omega-3 fatty acids may influence semen quality.

Self-reported history of comorbidities and markers of ovarian reserve among subfertile women.

PURPOSE: To investigate whether history of comorbidities is associated with markers of ovarian reserve among subfertile women. METHODS: This observational study includes 645 women seeking fertility care at the Massachusetts General Hospital who enrolled in the Environment and Reproductive Health (EARTH) study (2005-2019). Women completed a comprehensive questionnaire including medical diagnosis of comorbidities. Ovarian reserve markers including antral follicle count (AFC), assessed by transvaginal ultrasound, and circulating serum levels of day 3 FSH and AMH, are assessed by immunoassays. We fit linear regression models to evaluate the association between history of comorbidities and markers of ovarian reserve while adjusting for confounders. RESULTS: Self-reported history of hypertension, cancer, and neurological disorders was negatively associated with AFC in unadjusted models and in adjusted models for age, smoking, physical activity, comorbidity count, and BMI. Adjusted mean AFC (95% CI) was lower among women with history of hypertension, compared to women with no self-reported history of hypertension (11.5 vs 15.6, p value 0.0001). In contrast, day 3 FSH levels were positively related to history of eating disorders in both unadjusted and adjusted models (10.8 vs. 7.43 IU/L, p value ≤ 0.0001). Self-reported history of other comorbidities was unrelated to AFC, day 3 FSH, and AMH levels. CONCLUSIONS: History of hypertension, cancer, and neurological disorders was negatively associated with AFC, and eating disorders were positively related to day 3 FSH levels. The prevention of common comorbidities among women in reproductive age may help increase women's fertility given the declining birth rates and increasing use of assisted reproductive technologies in the past years.

Optimizing pregnancy outcomes in intrauterine insemination cycles by stratifying pre-wash total motile count and patient-specific factors: a patient counseling tool.

PURPOSE: The purpose of this study is to clarify which pre-wash total motile count are associated with improved clinical pregnancy rate (CPR) and live birth rate (LBR) based on maternal age, AMH level, stimulation regimen, and infertility diagnosis. METHODS: This was a retrospective cohort study of first completed IUI cycles at two academic fertility centers from 5/2015 to 9/2019. Cycles were stratified by pre-wash TMC, maternal age, AMH level, stimulation regimen, and infertility diagnosis. The primary outcome was CPR and secondary outcomes were live birth and miscarriage. RESULTS: One thousand one hundred fifty-four cycles were analyzed. Of the 162 cycles that resulted in a CPR (14.0%), most had an insemination TMC > 20 million. Compared to TMC > 20 million, there was no difference in CPR or LBR for lower TMC categories, excluding the TMC < 2 million group, in which there were no pregnancies. When TMC was stratified by deciles, there was also no difference in CPR and LBR, including within the lowest decile (TMC 0.09-8.6 million). Younger age and higher ovarian reserve parameters were associated with higher pregnancy and LBR when stratified by TMC. There was no difference in pregnancy and LBR when considering different stimulation protocols. CONCLUSIONS: Our data suggest that pregnancy and LBR are equivalent above a TMC of 2 million. Data stratified by TMC and patient parameters can be used to counsel patients pursuing ART.

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.

Substantial Weight Gain in Adulthood Is Associated with Lower Probability of Live Birth Following Assisted Reproduction.

BACKGROUND: Overweight and obesity among women have been associated with lower success of assisted reproduction technologies (ARTs). However, the relation of adolescent body weight and adult weight change to ART outcomes is not well understood. OBJECTIVE: Our objective was to evaluate the associations of female BMI (in kg/m2) at 18 y and weight change from 18 y to current age with ART outcomes. METHODS: We included 486 women in a prospective cohort at the Massachusetts General Hospital Fertility Center (2004-2018) who underwent 863 ART cycles. At study entry, height and weight were measured by research personnel. Women recalled their weight at 18 y. Restricted cubic splines were used to evaluate the associations between BMI at 18 y and weight change since 18 y and ART outcomes adjusting for age, race, education, smoking, and height and accounting for the correlated cycles within women. RESULTS: Women had a median (range) BMI of 20.6 (14.8 to 36.4) at 18 y and 23.3 (16.1 to 45.8) at study entry. The median (range) weight change since 18 y was 7.4 kg (-12.1 to 60.1 kg). There was no association between BMI at 18 y and clinical ART outcomes. Long-term weight change had a nonlinear association with live birth such that higher weight gain since 18 y (particularly ≥15 kg) and weight loss were both associated with lower odds of live birth. The negative association between weight change and live birth was stronger in women ≥22.5 kg/m2 at 18 y such that each 10-kg increase was associated with a 30% (6%, 48%) lower odds of live birth. CONCLUSIONS: Weight gain in adulthood is negatively associated with ART success, particularly among women who were heavier at 18 y. These results add to the growing literature supporting the benefits of preventing weight gain in adulthood on female fertility.

The effect of semen collection location and time to processing on sperm parameters and early IVF/ICSI outcomes.

PURPOSE: We aimed to assess whether home collection and increased time to semen processing are associated with altered sperm parameters, fertilization rates (FR), day 5 usable quality blastocyst development rates (D5-UQBR), or pregnancy rates (PR) in patients undergoing IVF/ICSI. METHODS: This was a retrospective cohort study of patients undergoing IVF/ICSI before the coronavirus disease 2019 (COVID-19) pandemic ("clinic" collection, n = 119) and after COVID-19 ("home" collection, n = 125) at an academic fertility practice. Home collection occurred within 2 h of semen processing. Patient sperm parameters, FR (#2PN/MII), D5-UQBR (# transferable and freezable quality blastocysts/# 2PN), and PR in fresh transfer cycles were compared between clinic and home groups with t-tests. The association between time to processing on outcomes was assessed with regression modeling, controlling for potential confounders. RESULTS: Mean male age was 37.9 years in the clinic group and 37.2 years in the home group (p = 0.380). On average, men were abstinent for 3.0 days (SD 1.7) in the clinic group and 4.1 days (SD 5.4) in the home group (p = 0.028). Mean time to semen processing was 35.7 min (SD 9.4) in the clinic group and 82.6 min (SD 33.8) in the home group (p < 0.001). There was no association between collection location and increased time to processing on sperm motility, total motile count, FR, D5-UQBR, or PR. CONCLUSIONS: Our data suggest that increased time to processing up to 2 h with home semen collection does not negatively impact sperm parameters or early IVF/ICSI outcomes.

Men's dietary patterns in relation to infertility treatment outcomes among couples undergoing in vitro fertilization.

PURPOSE(S): To evaluate the relationship of men's dietary patterns with outcomes of in vitro fertilization (IVF). METHODS: This is a prospective cohort study including 231 couples with 407 IVF cycles, presented at an academic fertility center from April 2007 to April 2018. We assessed diet with a validated food frequency questionnaire and identified Dietary Pattern 1 and Dietary Pattern 2 using principal component analysis. We evaluated adjusted probability of IVF outcomes across the quartiles of the adherence to two dietary patterns by generalized linear mixed models. RESULTS: Men had a median age of 36.8 years and BMI of 26.9 kg/m2. Women's median age and BMI were 35.0 years and 23.1 kg/m2, respectively. Adherence to Dietary Pattern 1 (rPearson=0.44) and Dietary Pattern 2 (rPearson=0.54) was positively correlated within couples. Adherence to Dietary Pattern 1 was positively associated with sperm concentration. A 1-unit increase in this pattern was associated with a 13.33 (0.71-25.96) million/mL higher sperm concentration. However, neither Dietary Pattern 1 nor Dietary Pattern 2 was associated with fertilization, implantation, clinical pregnancy, or live birth probabilities. CONCLUSIONS: Data-derived dietary patterns were associated with semen quality but unrelated to the probability of successful IVF outcomes.

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.