A cross sectional study on serum homocysteine levels in women with unexplained infertility at rural hospital setup and its correlation with ovulation

Author:

Shukla SwastiORCID,Shrivastava Deepti

Abstract

This cross-sectional study aims to investigate the serum homocysteine levels in women diagnosed with unexplained infertility at a rural hospital setup and its correlation with ovulation patterns. Unexplained infertility is a challenging clinical entity, with a limited understanding of its underlying mechanisms in resource-constrained healthcare settings. The study will include women between 21 and 45 years of age, diagnosed with unexplained infertility, who have not received any prior fertility treatments. Data will be collected through blood samples to measure serum homocysteine levels, and ovulation assessments using hormonal analysis and ultrasound monitoring of the menstrual cycle. Descriptive statistics will summarize participants’ characteristics, while comparison tests will be employed to assess the association between serum homocysteine levels and unexplained infertility. Correlation analysis will explore the relationship between serum homocysteine levels and ovulation parameters. Furthermore, multiple regression analysis will identify independent associations between serum homocysteine levels and ovulation, controlling for potential confounding variables. This study aims to provide valuable insights into the role of serum homocysteine in unexplained infertility and its potential impact on ovulation patterns in women in a rural healthcare setup. The findings may contribute to understanding the pathophysiology of unexplained infertilities and pave the way for targeted therapeutic interventions. Ethical considerations will ensure participant privacy, and all data will be managed with the utmost confidentiality. The study’s results will be reported transparently, adhering to ethical guidelines, to offer evidence-based guidance for managing unexplained infertility in rural healthcare settings.

Publisher

F1000 Research Ltd

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