The aim of this study was to evaluate different preoperative immune, inflammatory, and nutritional scores and their best cut-off values as predictors of poorer overall survival (OS) and disease-free survival (DFS) in patients who underwent curative gastric cancer resection. This was a retrospective observational multicentre study based on data of the Spanish EURECCA Esophagogastric Cancer Registry. Time-dependent Youden index and log-rank test were used to obtain the best cut-offs of 18 preoperative biomarkers for OS and DFS.
View Article and Find Full Text PDFIn this study, we report the carbapenemase-encoding genes and colistin resistance in , , , and in the second year of the COVID-19 pandemic. Clinical isolates included carbapenem-resistant , carbapenem-resistant , carbapenem-resistant , and carbapenem-resistant . Carbapenemase-encoding genes were detected by PCR.
View Article and Find Full Text PDFObjective: To develop and validate a risk prediction model of 90-day mortality (90DM) using machine learning in a large multicenter cohort of patients undergoing gastric cancer resection with curative intent.
Background: The 90DM rate after gastrectomy for cancer is a quality of care indicator in surgical oncology. There is a lack of well-validated instruments for personalized prognosis of gastric cancer.