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Acute pancreatitis (AP) is a highly fatal pancreatic inflammation. In recent years, synthetic nanoparticles have been extensively developed as drug carriers to address the challenges of systemic adverse reactions and lack of specificity in drug delivery. However, systemically administered nanoparticle therapy is rapidly cleared from circulation by the mononuclear phagocyte system (MPS), leading to suboptimal drug concentrations in inflamed tissues and suboptimal pharmacokinetics.

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Background: Immunosuppressive agents like cyclosporine have proven effective in some pediatric cases, although there are limited case reports considering potential risks such as secondary infections.

Objective: This study investigated the safety and efficacy of Cyclosporine A in children who did not respond to high-dose corticosteroids combined with intravenous immunoglobulin (IVIG).

Methods: We reported four pediatric patients diagnosed with toxic epidermal necrolysis (TEN) received treatment at our institution.

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Objectives: Inflammatory bowel diseases (IBD) are chronic, immune-mediated disorders of the gastrointestinal system. Pancreas can be affected in IBD patients with a wide array of clinical conditions including acu-te pancreatitis, abnormalities of pancreatic duct and pancreatic insufficiency. Pancreatic steatosis (PS) is an important but often overlooked pathology of pancreas.

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Characterization of Pancreatic Infections in Patients with Severe Acute Pancreatitis: A Retrospective Study from 2019 to 2023.

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January 2025

Department of Clinical Laboratory Science, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.

Objective: This study investigated the distribution and changes in pancreatic infections among patients with acute pancreatitis (AP) from 2019 to 2023, while exploring the impact of multidrug-resistant bacterial infections on the prognosis of patients with poor outcomes.

Methods: This study included patients diagnosed with SAP between 2019 and 2023 and collected the demographic and clinical characteristics of all participants. Based on routine clinical microbiological culture results, the distribution and drug resistance of pathogens associated with pancreatic infections were analyzed.

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This study sought to establish and validate an interpretable CT radiomics-based machine learning model capable of predicting post-acute pancreatitis diabetes mellitus (PPDM-A), providing clinicians with an effective predictive tool to aid patient management in a timely fashion. Clinical and imaging data from 271 patients who had undergone enhanced CT scans after first-episode acute pancreatitis from March 2017-June 2023 were retrospectively analyzed. Patients were classified into PPDM-A (n = 109) and non-PPDM-A groups (n = 162), and split into training (n = 189) and testing (n = 82) cohorts at a 7:3 ratio.

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