Publications by authors named "Amadou-Khalilou Sow"
Article Synopsis
- - The study aims to assess how effective drain fluid lipase is in predicting postoperative pancreatic fistula, a serious complication after pancreatic surgery, and determines the most suitable day for measuring this biomarker.
- - Conducted across seven hospitals, the LIPAse DRAIN study analyzed drain fluid from 625 patients over six days, finding that drain fluid lipase is a reliable indicator on days 3 and 4, with significant statistical values suggesting its diagnostic utility.
- - Results showed that on postoperative day 3, a specific threshold of lipase levels could reasonably identify patients at risk for developing a pancreatic fistula, recommending routine measurement of this biomarker by day 3 post-surgery.
Background: This randomized controlled trial examined the feasibility of adding eccentric exercise to a conventional cardiac rehabilitation program (CCRP) for coronary heart disease patients.
Methods: Ninety-three patients were randomly assigned to either the MIX group (eccentric ergometer + CCRP) or the CON group (concentric ergometer + CCRP) for 7 weeks. Training effectiveness was assessed based on "good responders" showing improved functional capacities, such as 6-minute walk test (6MWT) distance and maximal voluntary contraction of the plantar flexors (ankle MVC).
Study Objective: To evaluate the feasibility and benefit of a diagnostic and therapeutic algorithm for management of patients presenting with a high C-reactive protein (CRP) level after colorectal surgery.
Patients And Methods: Prospective study including patients with CRP>125mg/L at the 4th postoperative day following elective colorectal surgery. The protocol involved CT-scan of which the results were to orient subsequent management: antibiotics, radiological drainage, endoscopy or surgical redo.
Introduction: While QuantiFERON-TB gold (QFT) is frequently used, little attention is paid to the mitogen response. How it could be impacted and associated with outcomes is poorly known.
Methods: Retrospective, case-control study in hospitalized patients who underwent QFT testing in two hospitals between 2016 and 2019.
Having a system to measure food consumption is important to establish whether individual nutritional needs are being met in order to act quickly and to minimize the risk of undernutrition. Here, we tested a smartphone-based food consumption assessment system named FoodIntech. FoodIntech, which is based on AI using deep neural networks (DNN), automatically recognizes food items and dishes and calculates food leftovers using an image-based approach, i.
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