Results 261 to 270 of about 81,588 (354)

Influence of premature rupture of membranes on the peripartum outcomes in vaginally intended breech deliveries at term: A FRABAT study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This large cohort study investigates the impact of premature rupture of membranes (PROM) on maternal and neonatal outcomes in breech deliveries. The aim is to contribute to a better understanding of vaginal breech delivery and its possible risk factors and to facilitate more informed decision‐making within the counseling process ...
Emmy Rasch   +6 more
wiley   +1 more source

Outcomes of medical management of miscarriage in an early pregnancy setting

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Miscarriage is the most common complication of pregnancy. Medical management with misoprostol offers an alternative to surgical intervention. The aim of this study was to evaluate the outcomes of medical management of first‐trimester miscarriage in the setting of an early pregnancy unit at a tertiary maternity hospital.
S. Elsayed   +5 more
wiley   +1 more source

Distribution and Antimicrobial Resistance of Pathogenic Bacteria in Patients With Sternal Osteomyelitis

open access: yesiLABMED, EarlyView.
This study conducted a retrospective analysis of microbiological culture results and antimicrobial resistance patterns in patients with sternal osteomyelitis at a tertiary medical center. The primary pathogens causing sternal osteomyelitis were gram‐positive bacteria. Infections with multidrug‐resistant organisms were also relatively common among these
Yumin Yang   +5 more
wiley   +1 more source

Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction

open access: yesiMetaOmics, EarlyView.
Saliva MicroAge is a machine learning‐based model designed to estimate biological age and assess health status using globally sourced salivary microbiome data. Trained on 4532 healthy samples, the model achieves high accuracy in predicting chronological age and captures health‐related deviations (MicroAgeGap) in various diseases.
Tiansong Xu   +13 more
wiley   +1 more source

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