Lumbreras-Márquez, Mario Isaac
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Preferred name
Lumbreras-Márquez, Mario Isaac
Official Name
Lumbreras Márquez, Mario Isaac
Alternative Name
mlumbreras
Lumbreras-Marquez, M. I.
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ORCID
Scopus Author ID
55938270900
Researcher ID
AAZ-5337-2021

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Intended delivery mode and neonatal outcomes in pregnancies with fetal growth restriction

2023 , Rodriguez-Sibaja, Maria J. , Mendez-Piña, Miguel A. , Lumbreras-Márquez, Mario Isaac , Acevedo-Gallegos, Sandra , Velazquez-Torres, Berenice , Ramírez-Calvo, José A.

Objective: To compare neonatal outcomes in pregnancies with fetal growth restriction (FGR) by intended delivery mode.Methods: This is a retrospective cohort study of singleton pregnancies with FGR that were delivered ≥34.0 weeks gestation. Neonatal outcomes were compared according to the intended delivery mode, which the attending obstetrician determined. Of note, none of the subjects had a contraindication to labor. Crude and adjusted odds ratios (ORs) and corresponding confidence intervals (CIs) were calculated via logistic regression models to assess the potential association between intended delivery mode and neonatal morbidity defined as a composite outcome (i.e. umbilical artery pH ≤7.1, 5-min Apgar score ≤7, admission to the neonatal intensive care unit, hypoglycemia, intrapartum fetal distress requiring expedited delivery, and perinatal death). A sensitivity analysis excluded intrapartum fetal distress requiring emergency cesarean delivery from the composite outcome since only patients with spontaneous labor or labor induction could meet this criterion. Potential confounders in the adjusted effects models included maternal age, body mass index, hypertensive disorders, diabetes, FGR type (i.e. early or late), and oligohydramnios.

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Cumulative sum learning curve for cordocentesis among maternal‐fetal medicine fellows in a low‐cost simulation model

2024 , Pérez-Estrada, Bibiana A. , Acevedo-Gallegos, Sandra , Lumbreras-Márquez, Mario Isaac , Gardner, Roxane , Gallardo, Juan Manuel

Objective: To determine the individual learning curves for cordocentesis in a low-cost simulator for maternal-fetal medicine (MFM) fellows. Methods: This observational, descriptive, educational, and prospective study was performed from July through November 2022. After an introductory course based on a standardized technique for cordocentesis, each second-year MFM fellow who accepted to participate in the study performed this procedure using a low-cost simulation model, and experienced operators supervised the cordocenteses. Learning curves were then created using cumulative sum analysis (CUSUM). Copyright © 1999-2024 John Wiley & Sons.

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Abdominal circumference growth velocity as a predictor of adverse perinatal outcomes in small-for-gestational-age fetuses

2023 , Rodriguez-Sibaja, Maria J. , Villa-Cueva, Alejandra , Ochoa-Padilla, Maria , Rodriguez-Montenegro, Maria S. , Lumbreras-Márquez, Mario Isaac , Acevedo-Gallegos, Sandra , Gallardo-Gaona, Juan M. , Copado-Mendoza, Yazmin

Objective: To assess the predictive value of abdominal circumference growth velocity (ACGV) between the second and third trimesters to predict adverse perinatal outcomes in a cohort of small-for-gestational-age fetuses without evidence of placental insufficiency (i.e. fetal growth restriction). Material and methods: This is a single-center retrospective cohort study of all singleton pregnancies with small-for-gestational-age fetuses diagnosed and delivered at a quaternary institution. Crude and adjusted odds ratios (ORs) and corresponding confidence intervals (CIs) were calculated via logistic regression models to assess the potential association between abnormal ACGV (i.e. ≤10th centile) and adverse perinatal outcomes defined as a composite outcome (i.e. umbilical artery pH <7.1, 5-min Apgar score <7, admission to the neonatal intensive care unit, hypoglycemia, intrapartum fetal distress requiring expedited delivery, and perinatal death). Furthermore, the area under the receiver-operating characteristic curve (AUC) of three logistic regression models based on estimated fetal weight and ACGV for predicting the composite outcome is also reported.

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