Studying the Health of Children Under 3 Years Conceived by Advanced Assisted Reproductive Technologies Including IVF, ICSI, and Frozen Embryo Transfer To Improve Care and Management Strategies

What this Trial Is About

Researchers are investigating the health outcomes of children conceived through advanced assisted reproductive technologies ART such as intracytoplasmic sperm injection ICSI and frozen embryo transfer FET. The study aims to understand the effects of these methods on the physical growth, cognitive development, and reproductive health of children up to three years old, exploring potential deviations from typical health norms. This observational project also considers maternal medication use during pregnancy and paternal infertility factors. The research involves multiple assessments including retrospective analysis of medical histories, measurement of physical growth parameters like weight, height, and head and chest circumference, and evaluation of psychomotor development using standardized tests like the Griffiths Mental Development Scale and Denver Developmental Screening Tests. Male children conceived via ICSI will undergo examinations by pediatric andrologists, including ultrasounds and hormone level evaluations such as Inhibin B and Anti-Mllerian Hormone AMH. Data collection incorporates clinical exams, lab tests, and parental medical histories to build a comprehensive health profile. Participants will have a single clinical assessment up to 36 months of age, during which physical growth, neurodevelopmental status, and reproductive health will be measured. Neurosonography will be used for children under one year to assess brain structure. Researchers will analyze data using statistical methods to identify health patterns and risk factors, aiming to develop predictive models and management algorithms for children conceived via ART. The study emphasizes ethical standards, including informed parental consent and data confidentiality, with findings intended to improve clinical care and health outcomes for this population.

Enhancing Management Algorithms for Children Conceived Via Assisted Reproductive Technologies