scholarly journals Clinical Analysis of 47 Cases of Heterotopic Pregnancy After Assisted Reproductive Technology

2021 ◽  
Author(s):  
Qiaoli Bei ◽  
Huanrong Liu ◽  
Shaohua Xu
Keyword(s):  
Assisted Reproductive Technology ◽  
Pregnancy Outcome ◽  
Adnexal Mass ◽  
Clinical Analysis ◽  
Reproductive Technology ◽  
Heart Beat ◽  
Yolk Sac ◽  
Heterotopic Pregnancy ◽  
Term Birth ◽  
Anechoic Area

Abstract Background: Heterotopic pregnancy is rare in natural pregnancy. In recent years, with the development of assisted reproductive technology, the incidence of heterotopic pregnancy is increasing. Heterotopic pregnancy not only affects the development of intrauterine embryo, but also threatens the life of patients. There is no unified standard for the treatment of heterotopic pregnancy until now. So we research the clinical features and the effect of different intervention time on pregnancy outcome in patients with heterotopic pregnancy (HP) after assisted reproductive technology (ART).Methods: A retrospective analysis was conducted on the patients who were diagnosed as HP in Shanghai first maternal and infant hospital after conception through ART from January 2014 to June 2019. We analyzed the clinical characteristics, therapeutic method and intervention time to explore their impact on the outcome of HP.Results：47 patients with HP after ART were treated in our hospital and have complete clinical data. Among them, 18 cases treated with conservative therapy and 29 cases treated with operation. 29 cases delivered (including 3 cases of pre-term birth and 26 cases of full-term birth) and 18 cases aborted. In HP patients, β Human chorionic gonadotropin (β-HCG, 0.617) and extrauterine mass size (0.242) are not much guiding significance for the treatment. Transvaginal ultrasonography (TVS) examination on admission found that different conditions of ectopic (anechoic area, adnexal mass, heart beat, yolk sac) was independent risk factors of different treatment methods (P=0.005). And the intervention time before six weeks can get better pregnancy outcome (p=0.034).Conclusions：Patients with ART should be examined by TVS as early as possible. If abnormal TVS (anechoic area, adnexal mass, heart beat, yolk sac) results are found, patients should be operated by laparoscopy. And the best intervention time of laparoscopy is before 6 weeks.

scholarly journals The Effects of Subcutaneous Administration of Granulocyte Colony-Stimulating Factor on Pregnancy Outcome After Assisted Reproductive Technology: Clinical Trial

2018 ◽  
Vol 6 (2) ◽  
pp. 31-36
Author(s):  
Marzie Farimani ◽  
Narges Mehrabi ◽  
Azar Pirdehghan ◽  
Maryam Bahmanzadeh
Keyword(s):  
Placebo Group ◽  
Assisted Reproductive Technology ◽  
Pregnancy Outcome ◽  
Embryo Transfer ◽  
Endometrial Thickness ◽  
Subcutaneous Administration ◽  
Reproductive Technology ◽  
Granulocyte Colony Stimulating Factor ◽  
Colony Stimulating Factor ◽  
Stimulating Factor

Background: Granulocyte-colony stimulating factor (G-CSF) is an innovative therapy in reproductive medicine. Although its mechanisms of action have remained unknown, G-CSF seems to be effective in the case of recurrent abortion or implantation failure and thin endometrium. Objectives: This study was conducted to investigate whether subcutaneous administration of G-CSF has any effect on pregnancy outcome after assisted reproductive technology (ART). Methods: Fifty women with male infertility factors undergoing ART treatment were enrolled and stimulated with the standard long protocol. The G-CSF group of women received one dose of subcutaneous G-CSF (Filgrastim, 300 µg/1 mL) on the day of embryo transfer and again two days later while the placebo group received normal saline. Results: Seventeen patients had a positive β-human chorionic gonadotropin concentration after embryo transfer (8 and 9 in G-CSF and placebo groups, respectively) although the difference was not statistically significant. In addition, spontaneous abortion occurred in three patients (1 patient in the G-CSF group vs. 2 patients in the placebo group). Conclusion: Overall, although G-CSF failed to affect the endometrial thickness, as well as implantation, or clinical pregnancy rates, a lower prevalence of abortion in G-CSF group may be due to the positive effect of G-CSF administration on the endometrium as compared to the placebo group.

Assisted Reproductive Technology and Pregnancy Outcome

2006 ◽  
Vol 107 (4) ◽  
pp. 953-954
Author(s):  
Tracy Shevell ◽  
Fergal D. Malone ◽  
John Vidaver ◽  
T Flint Porter ◽  
David A. Luthy ◽  
...  
Keyword(s):  
Assisted Reproductive Technology ◽  
Pregnancy Outcome ◽  
Reproductive Technology

Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy

2005 ◽  
Vol 83 (3) ◽  
pp. 782-784 ◽  
Author(s):  
Sergey P. Torsky ◽  
Paula Amato ◽  
Pauline L. Cisneros ◽  
H. Sangi-Haghpeykar ◽  
Elena V. Trukhacheva ◽  
...  
Keyword(s):  
Assisted Reproductive Technology ◽  
Pregnancy Outcome ◽  
Reproductive Technology

scholarly journals Fertility Scoring Index: Cimar's Novel System to Predict assisted Reproductive Technology Success

2014 ◽  
Vol 5 (2) ◽  
pp. 44-57
Author(s):  
Rochelle Heroina Gracias ◽  
Louis Fessy Thalakottoor ◽  
Parasuram Gopinath ◽  
Gopinathan Kannoly Karunakaran
Keyword(s):  
Success Rate ◽  
Assisted Reproductive Technology ◽  
Pregnancy Outcome ◽  
Infertility Treatment ◽  
Reproductive Technology ◽  
Fertility Treatment ◽  
Successful Outcome ◽  
List Type ◽  
Several Variables ◽  
Scoring Index

ABSTRACT Background About 15% of all couples are infertile and require fertility treatment. With constantly improving clinical and laboratory procedures, pregnancy rates of about 30% per transfer are routinely reported. In non-donor-oocyte cycles, the percentage of in vitro fertilization/intracytoplasmic sperm injection (IVF/ ICSI) cycles that result in pregnancy ranges from 18 to 45%, depending on several factors (Society for Assisted Reproductive Technology 2009). But a patients concern is about the success rate—‘What is my chance of getting pregnant’? For the success in IVF/ICSI—embryo transfer cycle there are many variables thought to be directly related to the implantation and successful outcome. Aims and objectives To identify independent predictors ICSI outcome. To make a composite predictive scoring system— For patient selection and counseling for assisted reproductive technology (ART). That may prove critical in counseling poor prognosis patients, about their prognosis or against IVF treatment (e.g. patients with least benefits in undergoing IVF can opt for donor oocytes/surrogacy, etc. without wasting a cycle in trial and error). Optimizing treatment by developing more customized individually tailored treatment plan with consideration to predictive factors. Study design The research was approved by the institutional review board. A retrospective ongoing study was performed, over a period of 3 years at a well established infertility institution. A sample size of 1020 patients was considered from two hospitals of the same institution. The patients were stimulated by different protocols specific to each patients age, AFC, etc [Polycystic ovarian syndrome (PCOS) patients showing hyperresponse in follicular study-antagonist protocol]; though a majority underwent long agonist protocol. They were evaluated and the outcome was assessed through logistic regression analysis. Several variables were taken into consideration—to name a few; age, previous pregnancy outcome, previous ART treatment if any, E2/LH/P4 [baseline values and on the day of human chorionic gonadotropin (hCG)], etc. A preferential scoring was derived to obtain a predictive scoring for pregnancy outcome. Results A pregnancy predicting scoring was arrived at. On considering several variables, the cut off score represented a 50% success rate of IVF/ICSI cycle. Conclusion Bearing in mind that fertility is independent of hospital protocols and primarily dependent on the individual woman, the derived predictive scoring can be applied to individual cohort of patients under infertility treatment and has excellent discrimination ability for assessing the likelihood of pregnancy outcome. Application of this scoring will allow individualized treatment decision-making for patients under infertility treatment. How to cite this article Gracias RH, Thalakottoor LF, Gopinath P, Karunakaran GK. Fertility Scoring Index: Cimar's Novel System to Predict Assisted Reproductive Technology Success. Int J Infertil Fetal Med 2014;5(2):44-57.

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