Publications by authors named "Jin Cheol Cheong"
Article Synopsis
- Sepsis is a leading cause of postoperative mortality, and conventional scoring systems have limited predictive accuracy; this study explores using machine-learning algorithms to enhance predictions for patients with sepsis from peritonitis.
- The research involved analyzing demographic and clinical data, focusing on indicators like the delta neutrophil index and various lab results, to assess mortality risk through multiple machine-learning models.
- The CatBoost model proved most effective, with an area under the curve of 0.933, highlighting factors like increased delta neutrophil index and septic shock as significant predictors of mortality in these patients.*
Appendicitis is a common intra-abdominal inflammatory disease, and morbidity increases with age when perforation occurs. Because, not all patients require emergency surgery, there have been numerous studies on factors for predicting perforated appendicitis. In this study, we aimed to confirm whether the delta neutrophil index (DNI) and the time from symptom onset to surgery are effective predictors for perforated appendicitis in different age groups.
View Article and Find Full Text PDFIntroduction: The delta neutrophil index (DNI) represents the fraction of circulating immature granulocytes and is a marker of infection and sepsis. Our objective was to evaluate the usefulness of DNI for predicting in-hospital mortality within 30 days after surgery in patients with sepsis caused by peritonitis by means of comparing DNI, white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) before and after surgery.
Materials And Methods: We performed a retrospective analysis of demographic, clinical, and laboratory data.
Purpose: The aim of this study was to investigate the clinicopathologic features and prognosis in patients with computed tomography (CT) findings of ascites, with a focus on the correlation with peritoneal carcinomatosis.
Methods: This study included a total of 157 patients who underwent surgery for advanced gastric cancer from 2003 to 2008 at the Department of Surgery, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea, which were analyzed retrospectively.
Results: Fourteen patients (8.