Clinical Research Directory

Estimation of Fetal Weight by Measuring Abdominal Circumference, Abdominal Subcutaneous Soft Tissue Thickness, Femur Length and Mid-thigh Soft Tissue Thickness

Traditional methods for estimating fetal weight (EFW) often miss the mark because they focus on bone and circumference while ignoring fetal fat. This study proposes a more inclusive formula to fix that. Current models (using BPD, HC, AC, and FL) are the standard but suffer from high observer variability. These formulas struggle at the extremes (macrosomia or growth restriction) and fail to account for fetal adiposity, which makes up 10-12% of a newborn's mass. The study introduces a novel formula that moves beyond simple bone measurements by integrating Soft Tissue Thickness (STT). By accounting for a broader range of biological variants and fat distribution, this new model aims to provide a non-inferior, more precise predictive value for fetal weight compared to traditional methods.

Analysis on the Health of Newborns in Three Hospitals, 2008-2024

The objective of this observational study is to analyze the factors associated with neonatal morbidity and mortality in three hospitals in Quito, Ecuador, from January 2022 to December 2023. The primary question to be addressed is: What perinatal factors are associated with neonatal morbidity and mortality in neonates admitted to HGOIA, HGDC, and HGONA hospitals? The participants will be neonates whose complete medical records are registered in the Perinatal Information System (SIP) and the Maternal-Perinatal Clinical Record (HCMP) databases during the study period. Data will be retrospectively collected from the mentioned databases, evaluating variables such as birth weight, gestational age, congenital anomalies, neonatal complications, and maternal factors such as age and medical conditions. The analysis will include prevalence calculations, variable associations through logistic regression, and the development of neonatal growth curves. Statistical software such as R will be used for data analysis, and the results will be compared to national and international standards.