Publications by authors named "Rojas-Zepeda L"

Gestational diabetes (GD) is a metabolic disorder characterized by glucose intolerance during pregnancy, significantly impacting maternal and fetal health. Its global prevalence is approximately 14%, with risk factors including obesity, family history of diabetes, advanced maternal age, and ethnicity, which are linked to cellular and molecular disruptions in glucose regulation and insulin resistance. GD is associated with short- and long-term complications for both the mother and the newborn.

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Article Synopsis
  • - Preeclampsia (PE) is a complex pregnancy disorder characterized by high blood pressure and protein in urine, posing risks to mothers and their babies; its underlying mechanisms involve abnormal placentation and systemic responses.
  • - The condition is driven by inadequate placental development, leading to hypoxia and the release of anti-angiogenic factors, which cause endothelial dysfunction and increased inflammation; genetic factors also play a crucial role.
  • - Despite some promising therapeutic strategies targeting oxidative stress and inflammation, effective prevention and treatments for PE are still lacking, emphasizing the need for ongoing research in understanding and managing the disorder.
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Objective: Pre-eclampsia (PE) is a serious complication of pregnancy associated with maternal and fetal morbidity and mortality. As current prediction models have limitations and may not be applicable in resource-limited settings, we aimed to develop a machine-learning (ML) algorithm that offers a potential solution for developing accurate and efficient first-trimester prediction of PE.

Methods: We conducted a prospective cohort study in Mexico City, Mexico to develop a first-trimester prediction model for preterm PE (pPE) using ML.

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Article Synopsis
  • The study investigates the link between sFlt-1 levels and adverse maternal outcomes in pregnant women with COVID-19, specifically focusing on those with and without hypertensive disorders.
  • The researchers conducted a multicenter retrospective cohort study with 148 pregnant women, using statistical methods to analyze the data and identify key predictors of adverse outcomes.
  • Results indicate that higher sFlt-1 levels and the presence of hypertensive disorders significantly increase the risk of adverse outcomes, highlighting sFlt-1 as an independent predictor regardless of hypertension status.
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Oxidative stress (OS) induced by SARS-CoV-2 infection may play an important role in COVID-19 complications. However, information on oxidative damage in pregnant women with COVID-19 is limited. Objective: We aimed to compare lipid and protein oxidative damage and total antioxidant capacity (TAC) between pregnant women with severe and non-severe COVID-19.

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Article Synopsis
  • Cardiomyocyte injury and elevated troponin T levels in COVID-19 patients are linked to a worse prognosis, particularly among those who are pregnant.
  • The study analyzed the relationship between troponin T levels in severely ill COVID-19 pregnant women and their risk of complications like viral sepsis, ICU admission, or maternal death.
  • Among 87 pregnant patients, a significant correlation was found between high troponin T levels and maternal death, suggesting that elevated troponin T can be a critical indicator of severe pneumonia and increased mortality risk in this group.
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In healthy pregnancies, components of the Renin-Angiotensin system (RAS) are present in the placental villi and contribute to invasion, migration, and angiogenesis. At the same time, soluble fms-like tyrosine kinase 1 (sFlt-1) production is induced after binding of ANG-II to its receptor (AT-1R) in response to hypoxia. As RAS plays an essential role in the pathogenesis of COVID-19, we hypothesized that angiogenic marker (sFlt-1) and RAS components (ANG-II and ACE-2) may be related to adverse outcomes in pregnant women with COVID-19; Methods: Prospective cohort study.

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Objective: Mortality in pregnancy due to coronavirus disease 2019 (COVID-19) is a current health priority in developing countries. Identification of clinical and sociodemographic risk factors related to mortality in pregnant women with COVID-19 could guide public policy and encourage such women to accept vaccination. We aimed to evaluate the association of comorbidities and socioeconomic determinants with COVID-19-related mortality and severe disease in pregnant women in Mexico.

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