Impact of Sperm DNA Fragmentation on Pregnancy Outcomes

This study aims to perform a meta-analysis in order to gain a thorough understanding and evaluation of the relationship between the sperm DNA Fragmentation Index (DFI) and the outcome of pregnancy following intracytoplasmic sperm injection (ICSI) or in vitro fertilisation (IVF) treatment. After receiving the approval from institutional review board for the use of human beings, sample were collected from the 88 couples who were ready to participate in the study. Initial IVF screening of patients were done. For that every female subject had a preliminary endocrine examination on Day 2 or the third day of their menstrual period. The PRL, FSH, LH, OESTRADIOL, and P4 were measured after taking the blood samples. For the ovulation induction long and short protocols were followed. The embryo quality was assessed. GnRH agonist and antagonist protocols” were employed for ovarian stimulation. Recombinant hMG and FSH were utilized to stimulate ovaries. The recovered oocytes were inseminated using either traditional insemination techniques, such as IVF, or micromanipulation methods like ICSI. Oocyte collection, identification, and assessment were done. Sperm concentration, motility, and morphology exhibit significant diversity, as revealed by descriptive statistics used in semen analysis. Using Pearson's chi-square test, the study's analysis reveals substantial correlations between clinical pregnancy outcomes and factors like embryo quality and prior therapies, pointing to areas that should be specifically targeted for improvement.

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Publication Details

Journal
International Journal of Innovations in Science Engineering and Management.
Published
2025-08-04
DOI
https://doi.org/10.69968/ijisem.2025v4i3221-229
Primary Topic
Sperm and Testicular Function
Type
article
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article

Impact of Sperm DNA Fragmentation on Pregnancy Outcomes

Sandeep Kumar Verma, Savita Dagar
International Journal of Innovations in Science Engineering and Management.
Sperm and Testicular Function
article

Impact of Sperm DNA Fragmentation on Pregnancy Outcomes

Sandeep Kumar Verma, Savita Dagar
article en

Abstract

This study aims to perform a meta-analysis in order to gain a thorough understanding and evaluation of the relationship between the sperm DNA Fragmentation Index (DFI) and the outcome of pregnancy following intracytoplasmic sperm injection (ICSI) or in vitro fertilisation (IVF) treatment. After receiving the approval from institutional review board for the use of human beings, sample were collected from the 88 couples who were ready to participate in the study. Initial IVF screening of patients were done. For that every female subject had a preliminary endocrine examination on Day 2 or the third day of their menstrual period. The PRL, FSH, LH, OESTRADIOL, and P4 were measured after taking the blood samples. For the ovulation induction long and short protocols were followed. The embryo quality was assessed. GnRH agonist and antagonist protocols” were employed for ovarian stimulation. Recombinant hMG and FSH were utilized to stimulate ovaries. The recovered oocytes were inseminated using either traditional insemination techniques, such as IVF, or micromanipulation methods like ICSI. Oocyte collection, identification, and assessment were done. Sperm concentration, motility, and morphology exhibit significant diversity, as revealed by descriptive statistics used in semen analysis. Using Pearson's chi-square test, the study's analysis reveals substantial correlations between clinical pregnancy outcomes and factors like embryo quality and prior therapies, pointing to areas that should be specifically targeted for improvement.

International Journal of Innovations in Science Engineering and Management.
Department of Embryology (US), Sage (United Kingdom) (GB)
Openalex Percentile: Top 73%
Sperm and Testicular Function
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Impact of Sperm DNA Fragmentation on Pregnancy Outcomes — Sandeep Kumar Verma, Savita Dagar · International Journal of Innovations in Science Engineering and Management. (2025) | TGRS Research Map | TGRS