Clinical analysis of bloodstream infection of Escherichia coli in patients with pancreatic cancer
Abstract Background To study the common pathogens and cancer types of bloodstream infection (BSI) in cancer patients, find the risk factors and conduct clinical analysis.Methods The clinical data of 2302 patients with BSI in Tianjin Medical University Cancer Institute and Hospital (TMUCIH) from January 2011 to December 2018 were retrospectively analyzed. 31 pancreatic cancer patients complicated with Escherichia coli BSI and 93 pancreatic cancer patients without BSI at the same period with similar sex and age were divided into infection group and non-infection group.Results 645 strains (28%) of Escherichia coli were the main pathogens causing BSI in patients with cancer. 57 cases (8.8%) of cancer patients with Escherichia coli BSI were from pancreatic oncology department, among which 31 cases were diagnosed as pancreatic cancer by pathology. Multivariate logistic regression analysis showed that hospitalization days≥7, chemotherapy and neutrophil>5.5×10 9 /L were independent risk factors for pancreatic cancer patients complicated with BSI (P < 0.05). Quantitative analysis of serum-related indicators in infection patients and non-infection patients showed significant differences between albumin, prealbumin and neutrophils in infection and non-infection group. The ratio of Escherichia coli producing extended-spectrum ß-lactamase is 49.3 and 48.1 in pancreatic cancer and non-pancreatic patients. Escherichia coli resistant to carbapenems is rare, they were highly sensitive to Cephamycin and Piperacillin/tazobactam.Conclusions Escherichia coli, the main pathogen causing BSI of cancer patients, is more common in pancreatic cancer patients. The independent risk factors include hospitalization days≥7 days, chemotherapy and neutrophils larger than 5.5×10 9 /L. Quantitative indicators of neutrophil counts, albumin and prealbumin contribute to the early diagnosis of bloodstream infections. Early use of medication, while timely adjustment based on clinical drug sensitivity results will help reduce patient morbidity and mortality.