Characteristics of and risk factors for biliary pathogen infection in patients with acute pancreatitis. Chen Shayan,Shi Jiyu,Chen Minghui,Ma Jun,Zeng Zhaowei,Wang Rui,Cui Yunfeng,Gao Xue BMC microbiology BACKGROUND:Infection in patients with acute pancreatitis, especially severe acute pancreatitis patients, is a common and important phenomenon, and the distributions and drug resistance profiles of bacteria causing biliary infection and related risk factors are dynamic. We conducted this study to explore the characteristics of and risk factors for bacterial infection in the biliary tract to understand antimicrobial susceptibility, promote the rational use of antibiotics, control multidrug-resistant bacterial infections and provide guidance for the treatment of acute pancreatitis caused by drug-resistant bacteria. METHODS:The distribution of 132 strains of biliary pathogenic bacteria in patients with acute pancreatitis from January 2016 to December 2020 were analyzed. We assessed drug resistance in the dominant Gram-negative bacteria and studied the drug resistance profiles of multidrug-resistant bacteria by classifying Enterobacteriaceae and nonfermentative bacteria. We then retrospectively analyzed the clinical data and risk factors associated with 72 strains of Gram-negative bacilli, which were divided into multidrug-resistant bacteria (50 cases) and non-multidrug-resistant bacteria (22 cases). RESULTS:The main bacteria were Escherichia coli, Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa. Extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli had a 66.67% detection rate. Acinetobacter baumannii had more than 50.00% drug resistance to carbapenems, ESBL-producing Klebsiella pneumoniae had 100.00% drug resistance, and Pseudomonas aeruginosa had 66.67% resistance to carbapenems. Multivariate logistic regression analysis suggested that the administration of third- or fourth-generation cephalosporins was an independent risk factor for Gram-negative multidrug-resistant biliary bacterial infection in acute pancreatitis patients. CONCLUSION:Drug resistance among biliary pathogens in acute pancreatitis patients remains high; therefore, rational antimicrobial drug use and control measures should be carried out considering associated risk factors to improve diagnosis and treatment quality in acute pancreatitis patients. 10.1186/s12866-021-02332-w

The impact of multi-drug resistant Pseudomonas aeruginosa infections on acute pancreatitis patients. BMC infectious diseases INTRODUCTION:Acute pancreatitis (AP) accounts for a high proportion of digestive diseases worldwide and has a high risk of infection. Pseudomonas aeruginosa, a common pathogen of hospital infections, has been observed to increase the resistance rate to several antibiotics, causing difficulties in treatments. Our study aims to investigate the impact of the multi-drug resistant Pseudomonas aeruginosa (MDR-PA) infections on AP patients. METHODS:At two Chinese tertiary referral centers for AP patients infected with MDR-PA, a retrospective case-control study with a 1:2 case-control ratio was performed. Comparisons were preformed between with/without MDR-PA infections and different drug-resistance of MDR-PA infections patients, respectively. Independent risk factors of overall mortality were assessed via univariate and multivariate binary logistic regression analyses, and the distribution and antibiotic resistant rates of strains were described. RESULTS:Mortality in AP patients with MDR-PA infections was significantly higher than in those without MDR-PA infections (7 (30.4%) vs. 4 (8.7%), P = 0.048). The rate of prophylactic use of carbapenem for 3 days (0 vs. 50%, P = 0.019) and the incidence rate of multiple organ failure (MOF) (0 vs. 57.1%, P = 0.018) were remarkably higher in the carbapenem-resistant Pseudomonas aeruginosa group compared with the carbapenem-sensitive Pseudomonas aeruginosa group. In the multivariate analysis, the severe categories of AP (OR = 13.624, 95% CIs = 1.567-118.491, P = 0.018) and MDR-PA infections (OR = 4.788, 95% CIs = 1.107-20.709, P = 0.036) were independent risk factors for mortality. The resistance rates of MDR-PA strains were low for amikacin (7.4%), tobramycin (3.7%), and gentamicin (18.5%). The resistance rates of MDR-PA strains to imipenem and meropenem were up to, 51.9% and 55.6%, respectively. CONCLUSION:In AP patients, severe categories of AP and MDR-PA infections were both independent risk factors for mortality. Inappropriate use of carbapenem antibiotics and MOF were related to carbapenem-resistant Pseudomonas aeruginosa infections. Amikacin, tobramycin, and gentamicin are recommended for the treatment of AP patients with MDR-PA infections. 10.1186/s12879-023-08230-y

A nomogram for predicting the risk of mortality in patients with acute pancreatitis and Gram-negative bacilli infection. Frontiers in cellular and infection microbiology Objective: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. Methods: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 associated with mortality. The intersection of the two results was taken for further multivariate logistic regression analysis. A logistic regression model was constructed according to the independent risk factor of death and then visualized with a nomogram. The performance of the model was further validated in the training and validation cohort. Results:A total of 151 patients with SAP developed GNB infections. Univariate logistic regression analysis identified 11 variables associated with mortality. The Boruta analysis identified 11 clinical features, and 4 out of 9 clinical variables: platelet counts (odds ratio [OR] 0.99, 95% confidence interval [CI] 0.99-1.00; p = 0.007), hemoglobin (OR 0.96, 95% CI 0.92-1; p = 0.037), septic shock (OR 6.33, 95% CI 1.12-43.47; p = 0.044), and carbapenem resistance (OR 7.99, 95% CI 1.66-52.37; p = 0.016), shared by both analyses were further selected as independent risk factors by multivariate logistic regression analysis. A nomogram was used to visualize the model. The model demonstrated good performance in both training and validation cohorts with recognition sensitivity and specificity of 96% and 80% in the training cohort and 92.8% and 75% in the validation cohort, respectively. Conclusion:The nomogram can accurately predict the mortality risk of patients with SAP and GNB infection. The clinical application of this model allows early identification of the severity and prognosis for patients with SAP and GNB infection and identification of patients requiring urgent management thus allowing rationalization of treatment options and improvements in clinical outcomes. 10.3389/fcimb.2022.1032375

Impact of carbapenem-resistant Acinetobacter baumannii infections on acute pancreatitis patients. Wu Di,Huang Yilin,Ding Junjie,Jia Yan,Liu Huanmiao,Xiao Jie,Peng Jie Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] BACKGROUND:Carbapenem-resistant Acinetobacter baumannii (CRAB) infections present great challenges in clinical practices with high mortality. The aim of this study is to identify the impact of CRAB infections on acute pancreatitis (AP). METHODS:A case-control study was performed via collecting data from March 1st, 2016 to August 1st, 2020 in two comprehensive teaching hospital. Clinical data of the CRAB-positive AP patients were analyzed and compared to a matched control group (case-control ratio of 1:1). Comparisons were preformed between with/without CRAB infections and multiple organ failure (MOF), respectively. Independent risk factors of overall mortality were determined via univariate and multivariate analyses. RESULTS:CRAB infections were associated with higher mortality (49.2% vs. 23.0%, P < 0.01). CRAB combined with MOF increased a mortality up to 90% (P < 0.01). MOF (Odds ratio (OR) = 21.49, 95% confidence interval (CI) = 5.26-87.80, P < 0.01), CRAB infections (OR = 3.58, 95%CI = 1.24-10.37, P = 0.02) and hemorrhage (OR = 3.70, 95%CI = 1.21-11.28, P = 0.02) were independent risk factors of overall mortality. Lung was the most common site of strains (37 of 82). CRAB strains were highly resistant (>60%) to ten of eleven common antibiotics, except for tigecycline (28%). CONCLUSION:High mortality rate in AP patients was associated with CRAB infections and further increased when CRAB infections combined with MOF. 10.1016/j.pan.2021.12.004