scholarly journals Measuring IGF-1 and IGFBP-3 profiles in women seeking assisted reproduction; relevance to clinical outcomes from in vitro fertilization (Study 5).

2020 ◽  
Vol 13 (3) ◽  
pp. 079-096
Author(s):  
John L Yovich ◽  
Syeda Zaidi ◽  
Minh DK Nguyen ◽  
Peter M Hinchliffe
Keyword(s):  
Clinical Outcomes ◽  
Utilization Rate ◽  
Preliminary Measurement ◽  
Vitro Fertilization ◽  
The Poor ◽  
Productivity Rate ◽  
Protein Serum ◽  
Frozen Embryo Transfers ◽  
Igfbp 3

In this fifth study examining the relevance of the insulin-like growth factor (IGF) profiles, namely serum IGF-1 levels, its main binding protein, serum IGFBP-3 levels and the IGF ratio (IGFBP-3/IGF-1), we have examined clinical outcomes with respect to the quartile ranges of each parameter measured in 1633 IVF-naïve women. The outcomes were derived from 1035 of these women who initiated 1747 IVF cycles. Of the three parameters, only IGF-1 levels proved relevant to the clinical outcomes. In particular, this study confirmed our earlier report that IGF-1 levels decline across the quartiles with the woman’s advancing age and the proportion of women with IGF-1 levels in the highest quartile comprised the younger, whilst those women ≥40 years were mostly in the lowest quartile (p<0.0001). IVF cycle cancellations were not different across the quartiles but at oocyte pick-up (OPU) there were significantly more oocytes from the highest IGF-1 quartile (10.4 oocytes) compared to the lowest (8.9 oocytes; p<0.01). Furthermore, the proportion of oocytes shown to be at the mature MII stage were also significantly higher (p=0.01). Consequently, the oocyte utilization rate was significantly greater from those women with the highest IGF-1 levels generating 5.3 embryos vs 4.3 embryos for the lowest quartile. However, the utilization rate of those embryos generated were similar across the IGF-1 quartiles and there were similar rates of “freeze-all embryos”, albeit more women had increased monitoring for ovarian hyperstimulation risk, related to the higher egg numbers in the highest IGF-1 quartile. The most striking clinical outcomes were that of the pregnancy productivity rate (including fresh and frozen embryo transfers from a single OPU) which was greatest in the highest IGF-1 quartile (61.5% vs 48.2% per OPU across all ages p<0.0002). Miscarriage rates were not different but live birth productivity rates were significantly greatest for the highest IGF-1 quartile (49% vs 33% per OPU across all ages; p<0.0002). We conclude that a preliminary measurement of the IGF-1 level can help to define the poor-prognosis female prior to IVF treatment and on whom adjuvant studies can be focused.

Could the percentage of normal sperm affect the clinical outcomes in conventional in vitro fertilization (IVF)?

2010 ◽  
Vol 94 (4) ◽  
pp. S249-S250
Author(s):  
D.D. Pabón ◽  
M.M. Molla ◽  
M.M. Ojeda ◽  
J.M.J.M. Gacías ◽  
A.A. Pellicer ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Clinical Outcomes ◽  
Vitro Fertilization ◽  
Normal Sperm

Effect of Spermatozoa Apoptosis on the Clinical Outcomes with Human in vitro Fertilization

2012 ◽  
Vol 23 (1) ◽  
pp. 41-50
Author(s):  
Yu-bao WANG ◽  
Lei-wen ZHAO ◽  
Zu-qiong XIANG ◽  
Xiu-zhuang ZHOU ◽  
You-lun GUI ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Clinical Outcomes ◽  
Vitro Fertilization ◽  
Human In Vitro Fertilization

Effects of Different Types of Incubators on Embryo Development and Clinical Outcomes

2020 ◽  
Author(s):  
Ji Liu ◽  
Yan-Hua Zhou ◽  
Xiao-Xiao Wang ◽  
Ling-Xi Tong ◽  
Yan-Hong Li ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Embryo Development ◽  
Culture Media ◽  
Controlled Trial ◽  
Formation Rate ◽  
Fertilization Rate ◽  
Vitro Fertilization ◽  
Water Jacket ◽  
Different Types

Abstract Background: Different types of incubators have been designed for gamete and embryo culture in the past few years. The main differences of these incubators are humidity, temperature and gas control system, which play important roles in regulating the steady state of culture media. The objective of this study was to compare the effects of different types of incubators (air jacket incubators and water jacket incubators) on embryo development and clinical outcomes in human in vitro fertilization (IVF).Methods: First, the physical performances of different incubators were tested by mimicking routine IVF procedures. After that, in a randomized controlled trial, 1013 cumulus oocyte complexes from 43 patients were equally divided into two groups, fertilized and cultured in two types of incubators to analyze the effects of different types of incubators on embryo development and clinical outcomes. Results: We found that temperature recovery time in the air jacket incubator was significantly shorter than that in water jacket incubator. Although the O2 recovering time was also significantly shorter in the air jacket incubator as compared with the water jacket incubator, no significant differences were observed in the CO2 recovering time between two groups, which was also verified by pH recovering time of culture media. Besides, the temperature of culture medium in the dish covered with oil recovered more quickly in the air jacket incubators than that in water jacket incubators. However, there were no significant differences observed in the fertilization rate, Day 3 high-quality embryo formation rate, blastocyst formation rate, good blastocyst rate and clinical outcomes between two groups.Conclusions: These results indicate that the microenvironment, especially the temperature, in air jacket incubator recover faster than that in conventional water jacket incubator, however, there were no significant differences in embryo development and clinical outcomes between two types of incubators.

scholarly journals Machine Learning-Guided Noninvasive Embryo Selection for Clinical in Vitro Fertilization Treatment to Avoid Wasting Potentially Qualified Embryos

2021 ◽  
Author(s):  
Li Chen ◽  
Wen Li ◽  
Yuxiu Liu ◽  
Zhihang Peng ◽  
Liyi Cai ◽  
...  
Keyword(s):  
Machine Learning ◽  
In Vitro Fertilization ◽  
Learning Algorithm ◽  
Embryo Selection ◽  
Human Embryos ◽  
Utilization Rate ◽  
Grading System ◽  
Vitro Fertilization ◽  
Embryo Grading

Abstract BackgroundThe success rates of in vitro fertilization (IVF) treatment are limited by the aneuploidy of human embryos. Pre-implantation genetic testing for aneuploidy(PGT-A) is often used to select embryos with normal ploidy but requires invasive embryo biopsy. MethodsWe performed chromosome sequencing of 345 paired blastocyst culture medium and whole blastocyst samples and developed a noninvasive embryo grading system based on the random forest machine-learning algorithm to predict blastocyst ploidy. The system was validated in 266 patients, and a blinded prospective observational study was performed to investigate clinical outcomes between machine learning-guided and traditional niPGT-A analyses. We graded embryos as A, B, or C using machine learning-guided niPGT-A analysis according to their euploidy probability levels predicted by noninvasive chromosomal screening. ResultsWe observed higher live birth rate in A- versus C-grade embryos (50.4% versus 27.1%, p=0.006) and B- versus C-grade embryos (45.3% versus 27.1%, p=0.022) and lower miscarriage rate in A- versus C-grade embryos (15.9% versus 33.3%, p=0.026) and B- versus C-grade embryos (14.3% versus 33.3%, p=0.021). The embryo utilization rate was significantly higher through machine learning strategy compared to the conventional dichotomic judgment of euploidy or aneuploidy in the niPGT-A analysis (78.8% versus 57.9%, p<0.001). We observed better outcomes in A- and B-grade embryos versus C-grade embryos and higher embryo utilization rates through machine learning strategies than traditional niPGT-A analysis. ConclusionThese results demonstrate that the machine learning-guided embryo grading system can optimize embryo selection and avoid wasting potential embryos.Trial registrationChinese Clinical Trial Registry,ChiCTR-RRC-17010396.Registered 11 January 2017, http://www.chictr.org.cn/ChiCTR-RRC-17010396

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