Acute Fatty Liver of Pregnancy: Incidence and Clinical Evolution in Toluca, Mexico.

Objective: The objective of this study was to determine the incidence and evolution of patients with acute fatty liver of pregnancy (AFLP) over a period of 18 years in the city of Toluca, Mexico.

Methods: This was a descriptive and retrospective study of eighteen years. All women with AFLP confirmed by biopsy were included and the incidence, laboratory test values and complications were registered.

Analysis of fetal heart rate fluctuations in women diagnosed with preeclampsia during the latent phase of labor.

Introduction: Fetal heart rate variability (fHRV) is a tool used to investigate the functioning of the fetal autonomic nervous system. Despite the significance of preeclampsia, fHRV during the latent phase of labor has not been extensively studied. This study aimed to evaluate fetal cardiac autonomic activity by using linear and nonlinear indices of fHRV analysis in women diagnosed with preeclampsia without hypertensive treatment during gestation, compared to normotensive women during the latent phase of labor.

Changes in the autonomic cardiorespiratory activity in parturient women with severe and moderate features of preeclampsia.

Background: Cardiorespiratory coupling (CRC) is a physiological phenomenon that reflects the mutual interaction between the cardiac and respiratory control systems. It is mainly associated with efferent vagal activity from the central autonomic network. Few studies have explored the autonomic changes of CRC in preeclampsia, a critical obstetric complication related to possible autonomic dysfunctions and inflammatory disturbances.

Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms.

Introduction: Gestational diabetes mellitus (GDM) is underdiagnosed in Mexico. Early GDM risk stratification through prediction modeling is expected to improve preventative care. We developed a GDM risk assessment model that integrates both genetic and clinical variables.