Faculty Bibliography

PURPOSE/OBJECTIVE:To compare the racial and ethnic make-up of patients who accessed medically indicated fertility preservation services (MIFP) against the overall racial diversity (including Hispanic origin) across women of reproductive age diagnosed with cancer in New York City (NYC). METHODS:All patients who completed at least one MIFP between January 2017 and December 2018 were reviewed. Race was self-reported. A calculation of the expected racial distribution across women of reproductive age with cancer in NYC was determined using the most recent NYC census data. Statistical analysis included chi-square goodness of fit and test for independence and Kruskal-Wallis H test, with p < 0.05 considered significant. RESULTS:A total of 107 patients who accessed MIFP were included. A total of 55 (51.4%) identified as White, 3 (2.8%) as Black, 13 (12.2%) as Asian, 6 (5.6%) as Hispanic, 3 (2.8%) as other, and 27 (25.2%) did not report. A total of 78.5% of patients had insurance. There was no significant difference in racial distribution by cancer type (p = 0.255). A subgroup analysis excluding the BRCA+ patients and races not reported by the census (n = 69) was then performed, showing a statistically significant difference between observed (O) and expected (E) cases of fertility preservation (FP) by race at our center-White 47O/32E, Black 3O/15E, Asian 13O/7E, and Hispanic 6O/15E (p < 0.001). A statistically significant difference in racial distribution by FP type was observed. CONCLUSIONS:There is a difference in the observed vs expected racial distribution of patients accessing MIFP. Further studies are needed to identify modifiable factors to better ensure equal opportunity to all patients.

OBJECTIVE:To study the effect of frozen embryo transfer (FET) preparation protocol on incidence of subchorionic hematoma (SCH) and serum hormone levels. DESIGN/METHODS:Retrospective cohort study. SETTING/METHODS:University-affiliated fertility center. PATIENT(S)/METHODS:Patients who underwent FET at the New York University Langone Fertility Center. INTERVENTION(S)/METHODS:None. MAIN OUTCOME MEASURE(S)/METHODS:The primary outcome was incidence of SCH by protocol in FET cycles. RESULT(S)/RESULTS:There were 1,273 FET cycles that met criteria for inclusion. The frequency of SCH was lower in natural compared with programmed cycles (P<.05; relative risk = 0.4 [0.27-0.78]; odds ratio = 0.4 [0.23-0.75]). Serum estrogen level was higher in programmed compared with natural cycles on day of progesterone initiation (P<.001) and cycle day 28 (P<.001). However, serum estrogen levels at the same time points were not associated with formation of SCH in programmed or natural cycles. CONCLUSION(S)/CONCLUSIONS:This is the first study to evaluate the formation of SCHs by FET protocol type. Our results highlight that high serum estradiol levels do not independently lead to an increase in rate of SCH. Further research must be done to understand other clinical, or perhaps molecular, differences between natural and programmed FET cycle preparations that can be better associated with SCH formation.

PURPOSE/OBJECTIVE:Improving access to care is an issue at the forefront of reproductive medicine. We sought to describe how one academic center, set in the background of a large and diverse metropolitan city, cares for patients with extremely limited access to reproductive specialists. METHODS:The NYU Reproductive Endocrinology and Infertility (REI) Fellowship program provides a "fellow-run clinic" within Manhattan's Bellevue Hospital Center, which is led by the REI fellows and supervised by the REI attendings of the NYU Langone Health system. A description of the history of the hospital as well as the logistics of the fertility clinic is provided as a logistical template for implementation. RESULTS:The fellow-run fertility clinic at Bellevue hospital is held on two half days per month seeing approximately 150 new patients per year. The fertility workup, counseling, surgery, as well as ovulation induction, and early pregnancy management are offered within the construct of the fellowship and residency at NYU. Barriers to care and ways to circumvent those barriers are discussed in detail. CONCLUSION/CONCLUSIONS:By utilizing the ambition and construct of the OB/GYN programs, we greatly improve care for an otherwise underserved patient population by offering an efficient and optimal infertility workup and treatment in a population that would otherwise be without care. We utilize the framework of graduate medical education to provide autonomy, experience, and mentorship to both residents and fellows in our programs in an effort to provide a solution to combating inequity in infertility care.

PURPOSE/OBJECTIVE:To examine fertility-related social media accounts and influencers on two social media platforms. METHODS:The search function of Twitter (TW) and Instagram (IG) was used to generate a list of accounts with the terms: fertility, infertility, ttc, egg freezing, ivf, endometriosis, and reproductive. Accounts not in English, in private, with no posts in > 1 year, or with content unrelated to search terms were excluded. Accounts were assessed for author type; REI board certification (REI-BC); influencer (INF) status (> 10 K followers on IG; verified check mark on TW); account demographics; and content in last 5 posts. Statistical analysis included unpaired t tests, a classification and regression tree (CART) analysis, and stepwise multiple logistic regression. RESULTS:Seven hundred ten accounts were identified and 537 (278 TW, 259 IG) were included. Account types included societies, clinics, physicians, patients, groups, and "other." Instagram content (1290 posts reviewed) was primarily personal stories (31.7%) or inspiration/support (23.7%). Twitter content (1390 posts reviewed) was mostly promotion (28.2%) and research/education (20.2%). Thirty-nine accounts (12.5%) were influencers. Fertility influencers were most often awareness/support accounts (59.8% TW, 25.0% IG), patients (12.8% TW, 25% IG), or other (17.9% TW, 21.0% IG). Only 7.7% TW and 7.1% IG INFs were board-certified REI physicians. The best predictor for classification as an influencer was high activity (> 50 posts/month TW, > 10 posts/month IG). CONCLUSION/CONCLUSIONS:As patients increasingly utilize social media to obtain and engage with health information, it is critical to understand the fertility-related SM landscape. This understanding may help to successfully enhance relationships with patients and ensure dissemination of accurate information.