Katarina Kebbon Vaegter1, Tatevik Ghukasyan Lakic2, Matts Olovsson3, Lars Berglund2, Thomas Brodin4, Jan Holte5. 1. Carl von Linné Clinic, Uppsala, Sweden; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden. Electronic address: katarina.vaegter@linne.se. 2. Uppsala Clinical Research Center, Uppsala, Sweden. 3. Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden. 4. Carl von Linné Clinic, Uppsala, Sweden; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden. 5. Carl von Linné Clinic, Uppsala, Sweden; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden; Center for Reproductive Biology in Uppsala, University of Agricultural Sciences and Uppsala University, Uppsala, Sweden.
Abstract
OBJECTIVE: To construct a prediction model for live birth after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and single-embryo transfer (SET) after 2 days of embryo culture. DESIGN: Prospective observational cohort study. SETTING: University-affiliated private infertility center. PATIENT(S): SET in 8,451 IVF/ICSI treatments in 5,699 unselected consecutive couples during 1999-2014. INTERVENTION(S): A total of 100 basal patient characteristics and treatment data were analyzed for associations with live birth after IVF/ICSI (adjusted for repeated treatments) and subsequently combined for prediction model construction. MAIN OUTCOME MEASURE(S): Live birth rate (LBR) and performance of live birth prediction model. RESULT(S): Embryo score, treatment history, ovarian sensitivity index (OSI; number of oocytes/total dose of FSH administered), female age, infertility cause, endometrial thickness, and female height were all independent predictors of live birth. A prediction model (training data set; n = 5,722) based on these variables showed moderate discrimination, but predicted LBR with high accuracy in subgroups of patients, with LBR estimates ranging from <10% to >40%. Outcomes were similar in an internal validation data set (n = 2,460). CONCLUSION(S): Based on 100 variables prospectively recorded during a 15-year period, a model for live birth prediction after strict SET was constructed and showed excellent calibration in internal validation. For the first time, female height qualified as a predictor of live birth after IVF/ICSI.
OBJECTIVE: To construct a prediction model for live birth after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and single-embryo transfer (SET) after 2 days of embryo culture. DESIGN: Prospective observational cohort study. SETTING: University-affiliated private infertility center. PATIENT(S): SET in 8,451 IVF/ICSI treatments in 5,699 unselected consecutive couples during 1999-2014. INTERVENTION(S): A total of 100 basal patient characteristics and treatment data were analyzed for associations with live birth after IVF/ICSI (adjusted for repeated treatments) and subsequently combined for prediction model construction. MAIN OUTCOME MEASURE(S): Live birth rate (LBR) and performance of live birth prediction model. RESULT(S): Embryo score, treatment history, ovarian sensitivity index (OSI; number of oocytes/total dose of FSH administered), female age, infertility cause, endometrial thickness, and female height were all independent predictors of live birth. A prediction model (training data set; n = 5,722) based on these variables showed moderate discrimination, but predicted LBR with high accuracy in subgroups of patients, with LBR estimates ranging from <10% to >40%. Outcomes were similar in an internal validation data set (n = 2,460). CONCLUSION(S): Based on 100 variables prospectively recorded during a 15-year period, a model for live birth prediction after strict SET was constructed and showed excellent calibration in internal validation. For the first time, female height qualified as a predictor of live birth after IVF/ICSI.
Authors: Jennifer Yland; Carmen Messerlian; Lidia Mínguez-Alarcón; Jennifer B Ford; Russ Hauser; Paige L Williams Journal: Hum Reprod Date: 2019-03-01 Impact factor: 6.918
Authors: S Marchiani; L Tamburrino; F Benini; L Fanfani; R Dolce; G Rastrelli; M Maggi; S Pellegrini; E Baldi Journal: Sci Rep Date: 2017-11-09 Impact factor: 4.379
Authors: José G Franco; Claudia G Petersen; Ana L Mauri; Laura D Vagnini; Adriana Renzi; Bruna Petersen; M C Mattila; Vanessa A Comar; Juliana Ricci; Felipe Dieamant; João Batista A Oliveira; Ricardo L R Baruffi Journal: JBRA Assist Reprod Date: 2017-06-01