To analyze the drug resistance of (.) from bloodstream infection (BSI) and the predictors of mortality in . bloodstream infection (BSI). The clinical data of 139 . BSI cases diagnosed from January 2012 to December 2015 in The Second Affiliated Hospital of Zhejiang University School of Medicine, Lanxi Branch (Lanxi People's Hospital), Zhejiang Province, were retrospectively analyzed. The antimicrobial susceptibility testing was performed using Vitek 2 system. Extended-spectrum beta-lactamases (ESBLs) were detected by disk diffusion confirmatory testing. The factors associated with ESBLs-producing strains were identified by univariate analysis. Multivariate analysis was used to identify independent predictors of infection mortality by applying Logistic regression. 42.4% of . isolates were ESBLs-producing. The resistant rate of imipenem was 0.7%. The percent of ESBLs in hospital-acquired infection was higher than that in community-acquired infection but without statistical significance (48.7% versus 40.0%, =0.350). Univariate analysis suggested that the percent of ESBLs-producing strains in BSI happened on ≥15 d after admission and in BSI of biliary tract infection source was 76.9% and 68.0%, which were much higher than those in BSI happened on <15 d after admission and in BSI of non-biliary tract infection source (34.6% and 36.8%, =0.013 and 0.004). The overall mortality of . BSI was 13.7%. Multivariate Logistic regression analysis indicated that Sequential Organ Failure Assessment (SOFA ) score (=1.393, <0.001), ceftazidime non-susceptibility (=4.444, =0.018) and liver cirrhosis (=13.513, =0.001) were independent risk factors of mortality. The frequency of ESBLs-producing . was high in primary hospital of Zhejiang Province. SOFA score, ceftazidime non-susceptibility and cirrhosis were predictors of poor outcome in . BSI.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3760/cma.j.issn.0376-2491.2017.32.005 | DOI Listing |
J Intensive Care
January 2025
Medical and Infectious Diseases, ICU, Hospital Bichat-Claude Bernard, Université Paris Cité, AP-HP, Paris, France.
Background: Sepsis-associated encephalopathy (SAE) may be worsened by early systemic insults. We aimed to investigate the association of early systemic insults with outcomes of critically ill patients with severe SAE.
Methods: We performed a retrospective analysis using data from the French OUTCOMEREA prospective multicenter database.
BMC Med Genomics
January 2025
Department of Anaesthesiology, Centre of Head and Orthopedics, Copenhagen University Hospital, Rigshospitalet, Inge Lehmanns Vej 6, Copenhagen, 2100, Denmark.
Background: Sepsis and shock are common complications of necrotising soft tissue infections (NSTI). Sepsis encompasses different endotypes that are associated with specific immune responses. Hyperbaric oxygen (HBO) treatment activates the cells oxygen sensing mechanisms that are interlinked with inflammatory pathways.
View Article and Find Full Text PDFJ Cardiovasc Transl Res
January 2025
Department of Cardiology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, 215000, China.
Severe sepsis can promote myocardial injury and cardiac dysfunction, but role of p16 in sepsis-induced myocardial injury remains undefined. PBMCs were collected from patients. Expression of inflammatory factors and NLRP3 pathway were detected by Western blotting and qPCR in WT and p16KO mice.
View Article and Find Full Text PDFSci Rep
January 2025
Nantong University Hospital, Nantong, Jiangsu, People's Republic of China.
Sepsis is a severe infectious disease with high mortality. However, the indicators used to evaluate its severity and prognosis are relatively complicated. The systemic inflammatory response index (SIRI), a new inflammatory indicator, has shown good predictive value in chronic infection, stroke, and cancer.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Emergency, Kashi Prefecture Second People's Hospital, Kashi 844000, Xinjiang, China; Department of Emergency, Shanghai Tenth People's Hospital, School of Medicine Tongji University, Shanghai 200072, China. Electronic address:
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!