Publications by authors named "M J Gomez-Jurado"

Article Synopsis
  • Acute pancreatitis (AP) is a serious inflammation of the pancreas, and identifying patients at high risk of severe complications early is essential to prevent organ failure and death.
  • The study developed a machine learning prediction model called EASY, using data from over 4,700 patients to offer quick assessments of severity through algorithms like XGBoost, achieving an average accuracy of 89.1%.
  • The model identifies key risk factors such as respiratory rate, body temperature, and glucose level, and includes a user-friendly web application for easy access to its predictions.
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Background: The value of serum triglycerides (TGs) related to complications and the severity of acute pancreatitis (AP) has not been clearly defined. Our study aimed to analyze the association of elevated levels of TG with complications and the severity of AP.

Methods: The demographic and clinical data of patients with AP were prospectively analyzed.

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Backgound: Effective, standardized treatments for complex anal fistula (CAF) still represent a clinical challenge. Emerging procedures attempted to achieve the healing rates of fistulotomy whilst preserving sphincter function. Acellular dermal matrix (ADM) used as a plug inserted through the fistulous tract is among newer treatment options.

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Aim: Here, we describe a step-by-step standardized technique for tailgut cyst resection using a single-docking robotic approach.

Method: Each step of the technique is illustrated using a composite collection of four operative patient videos to demonstrate the advantages and feasibility of this technique. The robot platform utilised is Da Vinci Xi.

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Background: Infection in acute pancreatitis will worsen the disease prognosis. The aim of our study was to analyze the role of procalcitonin as a prognostic biomarker for infections and clinical severity.

Method: A prospective single-cohort observational study of patients diagnosed of acute pancreatitis (n = 152) was designed.

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