Results 151 to 160 of about 81,778 (253)

Cesarean Delivery

open access: yesAnales de la Facultad de Ciencias Médicas (Asunción), 2016
  +4 more sources

Pioneering urogynecology fellowship training in a low resource setting, East‐Africa, and its short‐term impact: A mixed‐methods implementation and program evaluation study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study describes the establishment and assesses the early outcomes of a novel urogynecology fellowship training program in a low‐resource setting at Mbarara University of Science and Technology (MUST), with the aim of informing similar efforts in other low‐resource settings. Methods We conducted a mixed‐methods implementation and
Musa Kayondo   +10 more
wiley   +1 more source

A model to predict red blood cell transfusion during/after cesarean delivery. [PDF]

open access: yesPregnancy (Hoboken)
Parry S   +18 more
europepmc   +1 more source

Temporary Left Ventricular Assist Device for Peripartum Cardiogenic Shock as a Bridge to Cesarean Delivery. [PDF]

open access: yesJACC Case Rep
Van Oosbree A   +9 more
europepmc   +1 more source

Functionality and quality of life in different gestational trimesters: A cross‐sectional study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To compare functionality and quality of life in pregnant women in different trimesters. Methods An observational cross‐sectional study was conducted with pregnant women ≥18 years of age undergoing prenatal care. Data were collected using a sociodemographic questionnaire, the WHO Quality of Life questionnaire (WHOQOL‐Bref), WHO ...
Bianca de Lima Archanjo   +4 more
wiley   +1 more source

Anesthesia for cesarean delivery in the era of artificial intelligence: a narrative review. [PDF]

open access: yesJ Anesth Analg Crit Care
Frassanito L   +9 more
europepmc   +1 more source

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

open access: yesiMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni   +26 more
wiley   +1 more source

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