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Shingshetty L, Cameron NJ, Mclernon DJ, Bhattacharya S. Predictors of success after in vitro fertilization. Fertil Steril 2024; 121:742-751. [PMID: 38492930 DOI: 10.1016/j.fertnstert.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 03/18/2024]
Abstract
The last few decades have witnessed a rise in the global uptake of in vitro fertilization (IVF) treatment. To ensure optimal use of this technology, it is important for patients and clinicians to have access to tools that can provide accurate estimates of treatment success and understand the contribution of key clinical and laboratory parameters that influence the chance of conception after IVF treatment. The focus of this review was to identify key predictors of IVF treatment success and assess their impact in terms of live birth rates. We have identified 11 predictors that consistently feature in currently available prediction models, including age, duration of infertility, ethnicity, body mass index, antral follicle count, previous pregnancy history, cause of infertility, sperm parameters, number of oocytes collected, morphology of transferred embryos, and day of embryo transfer.
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Affiliation(s)
- Laxmi Shingshetty
- Aberdeen Centre for Reproductive Medicine, NHS Grampian, Aberdeen, Aberdeenshire, United Kingdom; School of Medicine, Nutrition Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Aberdeenshire, United Kingdom.
| | - Natalie J Cameron
- School of Medicine, Nutrition Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Aberdeenshire, United Kingdom; Aberdeen Maternity Hospital, NHS Grampian and University of Aberdeen, Aberdeen, Aberdeenshire, United Kingdom
| | - David J Mclernon
- Medical Statistics Team, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Aberdeenshire, United Kingdom
| | - Siladitya Bhattacharya
- School of Medicine, Nutrition Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Aberdeenshire, United Kingdom
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Zhou JS, Chen JH, Tang FF, Ou JP, Tao X, Cai LH. The effect of luteinizing hormone changes in GnRH antagonist protocol on the outcome of controlled ovarian hyperstimulation and embryo transfer. BMC Pregnancy Childbirth 2023; 23:604. [PMID: 37612626 PMCID: PMC10464317 DOI: 10.1186/s12884-023-05916-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 08/11/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUD To investigate the effect of Luteinizing hormone (LH) level changes on the outcomes of controlled ovarian hyperstimulation (COH) and embryo transfer (ET) in gonadotropin-releasing hormone antagonist (GnRH-ant) protocol. METHODS A total of 721 patients undergoing GnRH-ant protocol COH for the first IVF/ICSI cycles were retrospectively analyzed. COH process were divided into 2 stages, before (stage 1) and after (stage 2) the GnRH-ant initiation, and each with 5 groups basing on LH levels: LH decreased more than 50% (groups A1, A2), decreased 25-50% (groups B1, B2), change less than 25% (groups C1, C2), increased 25-50% (groups D1, D2), and increased more than 50% (groups E1, E2). RESULTS There were no significant differences among groups of stage1 regarding COH and ET outcomes. For stage 2, the more obvious the decrease of LH level, the more the number of oocytes retrieved, mature oocytes, fertilized oocytes, embryos cleavaged and the numbers of embryo available (P < 0.05), but without significant differences regarding ET outcomes. We also found the freeze-all rate in Group A2 was higher (P < 0.001). CONCLUSION LH level changes before GnRH-ant addition were not related to COH and ET outcomes. LH level changes after the addition of GnRH-ant were related to the outcome of COH, and no significant differences were found relating to ET outcomes.
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Affiliation(s)
- Jing-Shuang Zhou
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Jian-Hong Chen
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Fei-Fei Tang
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Jian-Ping Ou
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xin Tao
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Liu-Hong Cai
- Center for Reproductive Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
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Huang Q, Nong Y, Zhang X, Huang L, Tang T, Huang J, Liu F. Effects of increasing serum luteinizing hormone levels during early phase of the gonadotropin-releasing hormone antagonist protocol on clinical outcomes of the in vitro fertilization cycle. Gynecol Endocrinol 2022; 38:135-139. [PMID: 34486905 DOI: 10.1080/09513590.2021.1955341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
OBJECTIVE To determine the effects of changes in serum luteinizing hormone (LH) levels in the early stages of the gonadotropin-releasing hormone antagonist (GnRH-A) protocol on in vitro fertilization and embryo transfer/intracytoplasmic sperm injection clinical outcomes. METHODS Data from 2116 fresh embryo transfer cycles with the GnRH-A protocol were retrospectively analyzed. Patients were divided into two groups, ΔLH-increased and ΔLH-decreased, according to changes in serum LH levels on the day of GnRH-A addition compared with that on the start day of ovarian stimulation. Patients in whom ΔLH increased were categorized according to early-onset LH increases (serum LH level ≥10 mIU/mL or twice the baseline). RESULTS ΔLH increased and decreased in 14.9% and 85.1% of patients, respectively. The fertilization rate was lower, and fewer oocytes were retrieved in patients with increased ΔLH compared to those with decreased ΔLH (p < .05). The number of AFC, oocytes retrieved, and AMH in patients with early-onset ΔLH increase was lower between the subgroups (p < .05). There were no significant differences in clinical pregnancy, early abortion, biochemical pregnancy, and live birth rates between the groups and subgroups (p > .05). CONCLUSIONS Early increases in LH levels during GnRH-A protocol might affect the number of oocytes retrieved, but not the clinical outcomes.
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Affiliation(s)
- Qianwen Huang
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yingqi Nong
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Xiqian Zhang
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Li Huang
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Ting Tang
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Ju Huang
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
| | - Fenghua Liu
- Department of Reproductive Health and Infertility, Guangdong Women and Children Hospital, Guangzhou, China
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Ebid AHIM, Abdel Motaleb SM, Mostafa MI, Soliman MMA. Population PK-PD-PD Modeling of Recombinant Follicle Stimulating Hormone in In Vitro Fertilization/Intracytoplasmic Sperm Injection: Implications on Dosing and Timing of Gonadotrophin Therapy. J Clin Pharmacol 2020; 61:700-713. [PMID: 33274472 DOI: 10.1002/jcph.1792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 11/24/2020] [Indexed: 11/07/2022]
Abstract
This study aimed to characterize an interactive and clinically applicable population pharmacokinetic-pharmacodynamic-pharmacodynamic (PK-PD-PD) model describing follicle-stimulating hormone (FSH)-inhibin B-oocyte relationship in women undergoing assisted reproduction with in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI). The study was a prospective analysis of 25 healthy women undergoing IVF/ICSI using gonadotropin-releasing hormone (GnRH) antagonist protocol. The developed model used the FSH PK profiles to predict both inhibin B (first PD end point) and oocyte retrieval (second PD end point). The modeling framework involved 2 stages. First, the FSH-inhibin B model was developed by the simultaneous approach and applied to estimate the individual area under the inhibin B-time curve (AUCInhb ) at the end of stimulation cycles that varied in length in each woman. In the second stage, the estimated AUCInhb was introduced as a link covariate to predict oocyte retrieval and response category. The population FSH-inhibin B model was described as 3 submodels; PK (exogenous), endogenous, and inhibin B PD models. Weight was the main determinant of both endogenous and exogenous FSH exposures. GnRH antagonist therapy was a significant time-varying covariate when tested against the endogenous FSH production rate (P < .001). AUCInhb could be predicted with women's age and weight. Log-transformed AUCInhb was a significant covariate when tested against oocyte retrieval (P < .001). Simulations concluded a target AUCInhb of 144-303 ng·h/mL for optimal ovarian response. The GnRH antagonist was better started on day 7 of the cycle. Covariate-based dosing suggests lower recombinant follicle-stimulating hormone requirements in a thin and/or young population. An interactive web application "GonadGuide" was developed to facilitate the application in clinical practice.
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Wu F, Liu F, Guan Y, Du J, Tan J, Lv H, Lu Q, Tao S, Huang L, Zhou K, Xia Y, Wang X, Shen H, Ling X, Diao F, Hu Z, Jin G. A nomogram predicting clinical pregnancy in the first fresh embryo transfer for women undergoing in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments. J Biomed Res 2019; 33:422. [PMCID: PMC6891870 DOI: 10.7555/jbr.33.20190065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 06/21/2019] [Indexed: 08/27/2024] Open
Abstract
The extent to which factors affect the probability of clinical pregnancy in the first fresh embryo transfer after assisted conception is unknown. In order to examine the predictors of clinical pregnancy, a retrospective cohort study was launched between January 1, 2013 and December 31, 2016 in four infertility clinics including 19 837 in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) fresh cycles with known outcomes and relevant records. A multivariable logistic regression was used to select the most significant predictors in the final nomogram for predicting clinical pregnancy. Furthermore, the model was validated by an independent validation set and the performance of the model was evaluated by the receiver operating characteristic (ROC) curves along with the area under the ROC curve (AUC) and calibration plots. In a training set including 17 854 participants, we identified that female age, tubal factor, number of embryos transferred, endometrial thickness and number of good-quality embryos were independent predictors for clinical pregnancy. We developed a nomogram using these five factors and the predictive ability was 0.66 for AUC (95% CI 0.64–0.68), which was independently validated in the validation set (AUC=0.66, 95% CI 0.65–0.68). Our results show that some specific factors can be used to provide infertile couples with an accurate assessment of clinical pregnancy following assisted conception and facilitate to guide couples and clinicians.
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Affiliation(s)
- Fang Wu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Feng Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yichun Guan
- Department of Reproduction, Henan Women and Children Health Hospital, Zhengzhou, Henan 450052, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jichun Tan
- Department of Reproduction, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110011, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Qun Lu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Shiyao Tao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Lei Huang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Kun Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xinru Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiufeng Ling
- Department of Reproduction, the Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004, China
| | - Feiyang Diao
- Department of Reproduction, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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