Publications by authors named "J Czimmer"

Article Synopsis
  • There is a lack of discharge protocols for acute pancreatitis (AP) patients, which the Hungarian Pancreatic Study Group (HPSG) aims to address with a new, validated protocol based on laboratory data and symptoms.
  • An international survey revealed that 87.5% of participating medical centers do not have discharge protocols, but those that do see shorter hospital stays and lower readmission rates.
  • The HPSG discharge protocol resulted in the lowest average length of hospital stay and demonstrated safety through a low readmission rate, highlighting the need for developing and validating more standardized discharge protocols for AP care.
View Article and Find Full Text PDF

Introduction: The outcomes of surgical interventions for achalasia treatment improved with the advent of minimally invasive surgery. Robotic-assisted Heller-Dor's (RAHD) procedure established over the last years, provides important advantages to surgeons, such as binocular three-dimensional vision and improvement of fine motor control.

Method: Between October and December of 2022, first in Hungary, 3 patients (37-year-old man, 55- and 72-year-old women) underwent RAHD procedure for achalasia at the Clinical Centre of the University of Pécs using the da Vinci Xi system.

View Article and Find Full Text PDF
Article Synopsis
  • * A total of 175 patients were analyzed, revealing that 54.29% experienced dyspeptic symptoms, which were significantly associated with seropositivity for autoimmune diseases, particularly celiac disease.
  • * The findings suggest that autoimmune disease markers may contribute to dyspeptic symptoms, indicating a need for more research into the cost-effectiveness of screening for autoantibodies in dyspeptic patients.
View Article and Find Full Text PDF
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.
View Article and Find Full Text PDF
Article Synopsis
  • Chronic gastritis (CG) often has an unknown cause but is linked to serious conditions like gastric cancer; the study aimed to investigate potential underlying factors and the role of autoimmune disorders in patients with CG.
  • The study analyzed 175 patients with CG and found that 55% had autoantibodies, with a significant association between these autoantibodies and precancerous stomach lesions such as intestinal metaplasia and atrophy.
  • Specific antibodies, especially those related to systemic lupus erythematosus, were linked to higher risks of these lesions, highlighting the need for further investigation into autoimmune conditions in CG cases.
View Article and Find Full Text PDF