View clinical trials related to Abdomen Disease.
Filter by:The goal of this clinical trial is to learn if the administration of tranexamic acid can reduce the necessity of blood transfusions in adult patients undergoing major abdominal surgery. . It will also inform about safety of tranexamic acid in this setting. The main question it aims to answer is: Does tranexamic acid lower the probability of receiving at least one blood transfusion during or after surgery? Participants will compare tranexamic acid o a placebo (a look-alike substance that contains no drug) to see if tranexamic acid works to reduce the necessity of a blood transfusion.
This study aims to examine the effects of M-TAPA applied for postoperative analgesia in patients who had major intraabdominal surgery on the postoperative pain score, the change in the postoperative total opioid requirement and the side effects.
The goal of this clinical trial is to identify those situations in which the increase of lactate levels is not clinically relevant since it is associated with altered genetic polymorphism of the genes involved in the membrane proteins acting as carriers for lactate (mainly monocarboxylate transporters, MCTs) patients undergoing major abdominal surgery. The main questions it aims to answer are: 1. Is there a relationship between the lactate levels in the immediate post-operative period and the presence of some lactate receptor polymorphisms? 2. Can hyperlactacidemia related to lactate receptor polymorphisms affect length of stay in the recovery room and/or in intensive care unit, postoperative hospital stay, postoperative complications? - Which are the risk factors for hyperlactacidemia in the immediate post-operative period in addition to the presence of lactate receptors polymorphisms? Participants will undergo pre-operative genomic assay testing.
The new image reconstruction algorithm (Precise Image, Philips Healthcare) has a strong potential to maintain sufficient image quality suitable for diagnosis with ultra-low dose (ULD) chest and abdomen-pelvis scans. The hypothesis is that the images obtained with the Precise Image algorithm for ULD acquisitions are of sufficient and suitable quality for the diagnosis of certain lung, abdominal-pelvic and bone lesions.
It is planned to integrate various services based on computer vision technologies for analysis of the certain type of x-ray study into Moscow Unified Radiological Information Service (hereinafter referred to as URIS). As a result of using computer vision-based services, it is expected: 1. Reducing the number of false negative and false positive diagnoses; 2. Reducing the time between conducting a study and obtaining a report by the referring physician; 3. Increasing the average number of radiology reports provided by a radiologist per shift.
The purpose of the study is to investigate whether glucose profile, sleep disturbances and heart rate variability measured with wearable devices is associated with postoperative recovery and complications within 30 days after major emergency abdominal surgery. The study is designed as an explorative, prospective cohort study. 40 patients undergoing major emergency abdominal surgery at Zealand's University Hospital Køge are included in the study, and inclusion occurs within 24 hours of end of surgery. Patients will be followed for 30 days, and three scheduled study visits are planned during follow up at postoperative day 10, 20 and 30. Glucose is measured continuously with a wearable subcutaneous sensor (Dexcom G6). Glucose readings are validated in the perioperative setting using blood glucose measurements obtained with standard finger-pricks 3-5 times a day during hospitalization. Actigraphy is used for assessing sleep- and activity patterns for the full study period. Heart rate variation is measured with a compact Holter monitor. Furthermore, the study assesses patient-reported quality of recovery, glucose metabolism, nutritional status and mobility. Various data on demographics, peri- and postoperative data will be extracted from the electronic patient chart.