Hair Cortisol Concentrations as a Biomarker to Predict a Clinical Pregnancy Outcome after an IVF Cycle: A Pilot Feasibility Study Caparrós González, Rafael Arcángel Romero González, Borja Peralta Ramírez, María Isabel González Pérez, Raquel García Velasco, Juan Antonio Infertility Pregnancy Cortisol Stress We would also like to thank our research nurses M.M. and Y.G. for their support during follow-up. Our objective was to examine the feasibility of hair cortisol concentrations (HCC) as a biomarker to predict clinical pregnancy outcomes and investigate its potential associations with perceived anxiety, resilience, and depressive symptoms. A total of 43 participants were assessed using HCC, the state trait anxiety inventory (STAI), resilience scale (RS), and the depression subscale of the symptom checklist 90-R (SCL-90-R). Participants were approached at their second consultation with the reproductive endocrinologist (T1), before scheduling their IVF cycle, and then 12 weeks after (T2), at their post-transfer visit with the study coordinators, before the human chorionic gonadotropin (HCG) pregnancy test. The logistic regression model revealed that HCC at T2 predicted 46% of a positive pregnancy test [R2 = 0.46, (ß = 0.11, p < 0.05)]. Pregnant women had higher levels of resilience at T2 (M = 149.29; SD = 17.56) when compared with non-pregnant women at T2 (M = 119.96; SD = 21.71). Significant differences were found between both groups in depression at T2 (t = 3.13, p = 0.01) and resilience at T2 (t = −4.89, p = 0.01). HCC might be a promising biomarker to calculate the probability of pregnancy in women using assisted reproductive technologies (ART). 2020-06-12T12:49:02Z 2020-06-12T12:49:02Z 2020-04 info:eu-repo/semantics/article C Santa-Cruz, D., Caparros-Gonzalez, R. A., Romero-Gonzalez, B., Peralta-Ramirez, M. I., Gonzalez-Perez, R., & García-Velasco, J. A. (2020). Hair Cortisol Concentrations as a Biomarker to Predict a Clinical Pregnancy Outcome after an IVF Cycle: A Pilot Feasibility Study. International Journal of Environmental Research and Public Health, 17(9), 3020. [doi:10.3390/ijerph17093020] http://hdl.handle.net/10481/62457 doi:10.3390/ijerph17093020 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI