{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Yan J"],"pubmed_abstract":["<h4>Objective</h4>Gram-negative bacilli (GNB) are common pathogens of infection in severe acute pancreatitis (SAP), and their occurrence increases the mortality of SAP. Early identification of SAP severity and prognosis is of great significance to SAP treatment. This study explored risk factors for mortality in patients with SAP and GNB infection and established a model for early prediction of the risk of death in GNB-infected SAP patients.<h4>Methods</h4>Patients diagnosed with SAP from January 1, 2016, to March 31, 2022, were included, and their baseline clinical characteristics were collected. Univariate logistic regression analysis was performed to screen for death related variables, and concurrently, a Boruta analysis was performed to identify potentially important clinical features a"],"journal":["Frontiers in cellular and infection microbiology"],"pagination":["1032375"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9685314"],"repository":["biostudies-literature"],"pubmed_title":["A nomogram for predicting the risk of mortality in patients with acute pancreatitis and Gram-negative bacilli infection."],"pmcid":["PMC9685314"],"pubmed_authors":["Jie P","Yan J","Yilin H","Jie W","Di W","Ya L","Hanyue W"],"additional_accession":[]},"is_claimable":false,"name":"A nomogram for predicting the risk of mortality in patients with acute pancreatitis and Gram-negative bacilli infection.","description":"<h4>Objective</h4>Gram-negative bacilli (GNB) are common pathogens of infection in severe acute pancreatitis (SAP), and their occurrence increases the mortality of SAP. Early identification of SAP severity and prognosis is of great significance to SAP treatment. This study explored risk factors for mortality in patients with SAP and GNB infection and established a model for early prediction of the risk of death in GNB-infected SAP patients.<h4>Methods</h4>Patients diagnosed with SAP from January 1, 2016, to March 31, 2022, were included, and their baseline clinical characteristics were collected. Univariate logistic regression analysis was performed to screen for death related variables, and concurrently, a Boruta analysis was performed to identify potentially important clinical features a","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-19T14:15:24.398Z","creation":"2024-11-07T00:51:16.035Z"},"accession":"S-EPMC9685314","cross_references":{"pubmed":["36439207"],"doi":["10.3389/fcimb.2022.1032375"]}}