Objective: To report a case of an ongoing twin pregnancy resulting from rescue intracytoplasmic sperm injection (ICSI) after failed fertilization of morphologically abnormal oocytes.

Design: Case report.

Setting: Tertiary center for assisted reproductive technology (ART).

Patient(s): A 28-year-old woman with primary infertility due to tubal obstruction.

Intervention(s): Rescue ICSI after failed IVF insemination.

Main Outcome Measure(s): Clinical pregnancy.

Result(s): Successful ongoing twin pregnancy.

Conclusion(s): With failed fertilization of oocytes with abnormal morphology after IVF, early rescue ICSI may increase the fertilization rates and result in an ongoing pregnancy.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.fertnstert.2007.07.1299DOI Listing

Publication Analysis

Top Keywords

ongoing twin
12
twin pregnancy
8
pregnancy rescue
8
rescue intracytoplasmic
8
intracytoplasmic sperm
8
sperm injection
8
icsi failed
8
failed fertilization
8
rescue icsi
8
ongoing
4

Similar Publications

Background: Chronic salpingitis is one of the most common causes of female infertility. Luteal support is a critical step for embryo transfer. Here, we evaluated the effects of two luteal support regimens, intramuscular progesterone (IMP) and progesterone vaginal gel (VAG), on the pregnancy outcomes in patients with chronic salpingitis undergoing vitrified-warmed embryo transfer.

View Article and Find Full Text PDF

Despite an increasing number of clinical trials, cancer is one of the leading causes of death worldwide in the past decade. Among all complex diseases, clinical trials in oncology have among the lowest success rates, in part due to the high intra- and inter-tumoral heterogeneity. There are more than a thousand cancer drugs and treatment combinations being investigated in ongoing clinical trials for various cancer subtypes, germline mutations, metastasis, etc.

View Article and Find Full Text PDF

Safety of Fertility Treatments in Women With Systemic Lupus Erythematosus: Data From a Prospective Population-Based Study.

BJOG

December 2024

Service de Médecine Interne, Centre de référence Des Maladies Auto-Immunes et Auto-Inflammatoires systémiques Rares d'Ile-de-France, de l'Est et de l'Ouest, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris (AP-HP)-Université Paris Cité, Paris, France.

Objective: To assess safety of fertility treatments in women with systemic lupus erythematosus (SLE).

Design: Data from the multicentre French observational GR2 (Groupe de Recherche sur la Grossesse et les Maladies Rares) study (2014-ongoing).

Setting: Seventy-six centres in France.

View Article and Find Full Text PDF

Oropouche virus: Understanding "sloth fever" disease dynamics and novel intervention strategies against this emerging neglected tropical disease.

Virulence

December 2024

Department of Veterinary & Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, USA.

Article Synopsis
  • Oropouche virus (OROV) is an arbovirus that causes "sloth fever," transmitted mainly by midges in both rural and urban areas.
  • Human infections can result in acute fever and, in severe cases, neurological issues, with over half a million people infected since its first detection in 1955.
  • The absence of FDA-approved vaccines and treatments means current care focuses on supportive measures, highlighting the importance of developing vaccines to control outbreaks, especially as OROV risk increases with climate change and global travel.
View Article and Find Full Text PDF

All Together Now: Data Work to Advance Privacy, Science, and Health in the Age of Synthetic Data.

Pac Symp Biocomput

December 2024

College of Health and Human Development, Department of Biobehavioral Health, 219 Biobehavioral Health Building, 296 Henderson Drive, Pennsylvania State University, University Park, PA 16802, USA.

There is a disconnect between data practices in biomedicine and public understanding of those data practices, and this disconnect is expanding rapidly every day (with the emergence of synthetic data and digital twins and more widely adopted Artificial Intelligence (AI)/Machine Learning tools). Transparency alone is insufficient to bridge this gap. Concurrently, there is an increasingly complex landscape of laws, regulations, and institutional/ programmatic policies to navigate when engaged in biocomputing and digital health research, which makes it increasingly difficult for those wanting to "get it right" or "do the right thing.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!