Results 141 to 150 of about 351,972 (313)

Post protocol residual thickness as a negative predictor for pharmacological treatment in early pregnancy loss

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To determine the rate of pharmacological treatment failure in early pregnancy loss, assess post‐treatment residua thickness as a predictor of retained products of conception (RPOC), identify a clinically relevant cutoff, and evaluate additional clinical and sonographic predictors. Methods This retrospective cohort study was conducted
Ravit Pertez‐Machluf, Maya Kimhi, Rotem Yedidia Moser, David Rosen, Yair Daykan, Ron Schonman, Zvi Klein, Yael Yagur   +7 more
wiley   +1 more source

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri, Asaf Romano, Asnat Walfisch, Eran Hadar, Yinon Gilboa, Leor Perl, Nadav Loebl, Ron Unger   +7 more
wiley   +1 more source

Neutrophil‐to‐lymphocyte ratio at admission helps to predict the need for blood transfusion after vaginal delivery

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study assesses the association between complete blood count (CBC) parameters, including the neutrophil‐to‐lymphocyte ratio (NLR) and the platelet‐to‐lymphocyte ratio (PLR) and predicts the need for postpartum packed red blood cell transfusion (pRBCT).
Daniel Gabbai, Itamar Gilboa, Anat Lavie, Yariv Yogev, Emmanuel Attali   +4 more
wiley   +1 more source

Hematologic markers and machine learning in predicting placenta accreta: A case–control study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and patient history.
Michael D. Jochum, Kelly D. Albrecht, Yamely Mendez Martinez, Victoria Zhang, Sanmay Sarada, Brian Burnett, Christina C. Reed, Karin A. Fox, Amir A. Shamshirsaz, Michael A. Belfort, Jessian L. Munoz, Hennie A. Lombaard   +11 more
wiley   +1 more source

First Trimester [PDF]

, 2020
openaire   +1 more source

Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 weeks gestation to encourage early identification of various conditions, such as fetal anomalies, multiple gestation, and placental abnormalities; however, global access to US remains limited.
Vani Gupta, Nicole Santos, Sara Della Ripa, Dilys Walker   +3 more
wiley   +1 more source

Understanding pre‐eclampsia and fetal growth restriction at high altitude: A narrative review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Pre‐eclampsia (PE) and fetal growth restriction (FGR) are among the leading causes of maternal and perinatal morbidity and mortality worldwide. Both conditions are more frequent and severe at high altitudes due to physiological changes in oxygen availability and vascular adaptation.
Víctor S. Rangel, Juliana Malagón Castillo, Juan David Duarte, Mariana Abril Barreto, Alejandra Vivas Ramirez, José Alejandro Daza, Ángela María Ruiz‐Sternberg   +6 more
wiley   +1 more source

Early versus late amniotomy during twin labor

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study evaluates whether timing of amniotomy affects labor characteristics and maternal and neonatal outcomes in twin deliveries. Methods This retrospective study was conducted at a single academic medical center and included dichorionic diamniotic (DCDA) twin pregnancies with a normal anomaly scan and a vertex‐presenting leading
Or Eliner, Inbar Lidor, Or Touval, Gil Shechter Maor, Michal Kovo, Tal Biron‐Shental   +5 more
wiley   +1 more source

A first‐trimester mechanistic framework integrating three Physiopathologic biomarker domains for pre‐eclampsia classification

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To develop and internally validate a mechanistic, three‐domain framework for early classification and prediction of pre‐eclampsia (PE) using first‐trimester angiogenic, uteroplacental, and maternal vascular biomarkers. Methods In a prospective cohort of 1925 singleton pregnancies screened at 11 to 13.6 weeks, placental growth factor (
Johnatan Torres‐Torres, Salvador Espino‐y‐Sosa, Raigam Jafet Martinez‐Portilla, Elsa Romelia Moreno‐Verduzco, Irma Eloisa Monroy‐Muñoz, Juan Mario Solis‐Paredes, Javier Perez Duran, Hector Borboa‐Olivares, Lourdes Rojas‐Zepeda   +8 more
wiley   +1 more source

Therapeutic role of nifedipine in threatened preterm labor: Current evidence and future perspectives

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Preterm birth occurs in approximately 10% of all pregnancies, and is not only the leading cause of neonatal mortality but also a major contributor to short‐ and long‐term morbidities due to immaturity. Preterm birth has also been linked to an increased risk of maternal cardiovascular and cerebrovascular diseases, making it a critical concern ...
Hikaru Imatake, Yoshitsugu Chigusa, Haruta Mogami, Satoshi Morita, Masaki Mandai   +4 more
wiley   +1 more source