View clinical trials related to Acute Abdomen.
Filter by:The term "acute abdomen" is often used to describe the manifestations of any serious intraperitoneal disease, which may indicates surgical intervention. Acute abdomen in pregnancy accounts for approximately 7-10% of all abdominal emergencies. Several pathologies could contribute acute abdominal pain during pregnancy. They include obstetric and non-obstetric causes. As for the non-obstetric causes , any gastrointestinal or urological disorders could be presented by an acute abdominal pain. In pregnancy, several factors overlap and making the diagnosis challenging. These factors include the distorted anatomy by the growing uterus that displaces intraperitoneal structures. Additionally, nausea, vomiting, and abdominal pain are considered the normal course during pregnancy especially at the first trimester. Moreover, sure diagnosis must be achieved to operate in a pregnant woman with more possible morbidity and mortality for the mother and\or fetus.
This is a single-centre retrospective cohort study utilising electronic hospital records. The aim of this study is to improve care for all patients with an intestinal emergency, irrespective of whether they have surgery or not. Data will be derived from electronic patient records collected as part of routine clinical patient care on all general adult wards (excluding maternity) between 2013 and 2020. We will then identify patients who had an emergency laparotomy, and those who had a laparoscopic procedure. We aim to identify 2 further groups where treatment is non-surgical (but could be medical or interventional radiology) or where treatment is considered futile, suggesting that an early focus on end of life care might be appropriate. The primary objective is to provide mortality rates for different treatment options, and analysis of short- and long-term outcomes. The secondary endpoints are to define patient sub-groups with similar health characteristics based on clinical data and an established risk index and to use statistical analysis to predict the risk of death for each patient group and treatment option, which will allow us to identify the best care pathways for each cluster.