نتایج جستجو برای: caesarian section
تعداد نتایج: 157942 فیلتر نتایج به سال:
Article history: Received: 6 May 2011 Revised: 27 July 2011 Accepted: 1 October 2011 Available online: 10 October 2011 Background: High incidence of menstrual disorders at late ages of fertility accounts for 20% of clinical visits and 25% of gynecological surgeries. This study was conducted to identify the relationship between delivery type and menstrual disorders in women referring to hospital...
Lactococcus lactis cremoris is rarely involved in human pathology. A thirty two-year old pregnant woman with premature rupture of membrane history presented with chorioamnionitis due to L. lactis cremoris. She underwent an emergency caesarian section and was treated with antibiotics including the association of amoxicillin and clavulanic acid. She was completely recovered. This is the first cas...
Isolated rectus abdominis muscle endometriosis is very uncommon with less than 20 case reports being published to date since its first description in 1984 by Amato and Levitt. We report another case of isolated rectus abdominis endometriosis in a 37-year-old patient with a previous caesarian section. We also discuss the diagnostic and treatment particularities in these patients. In our case, th...
An increasing number of women with a morbid obesity are requiring anaesthetic care for labour anddelivery. Management these patients presents obstetric, anesthetic, and logistical challenges. Wereport our experience in the management elective Caesarian section morbidly obese (BMI 61.6kg/m2) parturient under epidural anaesthetictechnique. Despite increased risk morbidity andmortality, patient ha...
Birth by Caesarian section is associated with short- and long-term respiratory morbidity. We hypothesized that mode of delivery affects the development of the respiratory microbiota, thereby altering its capacity to provide colonization resistance and consecutive pathobiont overgrowth and infections. Therefore, we longitudinally studied the impact of mode of delivery on the nasopharyngeal micro...
We apply machine learning to the problem of subpopulation assessment for Caesarian Section. In subpopulation assessment, we are interested in making predictions not for a single patient, but for groups of patients. Typically, in any large population, different subpopulations will have different "outcome" rates. In our example, the C-section rate of a population of 22,176 expectant mothers is 16...
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