Literature DB >> 33260698

Sepsis-A Retrospective Cohort Study of Bloodstream Infections.

Biagio Santella1, Veronica Folliero2, Gerarda Maria Pirofalo3, Enrica Serretiello1, Carla Zannella2, Giuseppina Moccia4, Emanuela Santoro4, Giuseppina Sanna5, Oriana Motta4, Francesco De Caro3,4, Pasquale Pagliano4, Mario Capunzo3,5, Massimiliano Galdiero1,2, Giovanni Boccia3,4, Gianluigi Franci3,4.   

Abstract

Bloodstream infections (BSIs) are among the leading causes of morbidity and mortality worldwide, among infectious diseases. Local knowledge of the main bacteria involved in BSIs and their associated antibiotic susceptibility patterns is essential to rationalize the empiric antimicrobial therapy. The aim of this study was to define the incidence of infection and evaluate the antimicrobial resistance profile of the main pathogens involved in BSIs. This study enrolled patients of all ages and both sexes admitted to the University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy between January 2015 to December 2019. Bacterial identification and antibiotic susceptibility testing were performed with Vitek 2. A number of 3.949 positive blood cultures were included out of 24,694 total blood cultures from 2015 to 2019. Coagulase-negative staphylococci (CoNS) were identified as the main bacteria that caused BSI (17.4%), followed by Staphylococcus aureus (12.3%), Escherichia coli (10.9%), and Klebsiella pneumoniae (9.4%). Gram-positive bacteria were highly resistant to Penicillin G and Oxacillin, while Gram-negative strains to Ciprofloxacin, Cefotaxime, Ceftazidime, and Amoxicillin-clavulanate. High susceptibility to Vancomycin, Linezolid, and Daptomycin was observed among Gram-positive strains. Fosfomycin showed the best performance to treatment Gram-negative BSIs. Our study found an increase in resistance to the latest generation of antibiotics over the years. This suggests an urgent need to improve antimicrobial management programs to optimize empirical therapy in BSI.

Entities:  

Keywords:  antimicrobial sensitivity; blood culture; bloodstream infections; empiric therapy

Year:  2020        PMID: 33260698     DOI: 10.3390/antibiotics9120851

Source DB:  PubMed          Journal:  Antibiotics (Basel)        ISSN: 2079-6382


  7 in total

1.  Distribution and Drug Resistance of Pathogenic Bacteria and Prognosis in Patients with Septicemia Bloodstream Infection with Renal Insufficiency.

Authors:  Deng Pan; Pin Peng; Yu Fang; Jun Lu; Minghao Fang
Journal:  Infect Drug Resist       Date:  2022-07-28       Impact factor: 4.177

2.  Bacteriological Profile and Antimicrobial Susceptibility Patterns of Gram-Negative Bloodstream Infection and Risk Factors Associated with Mortality and Drug Resistance: A Retrospective Study from Shanxi, China.

Authors:  Nan Shi; Jianbang Kang; Shuyun Wang; Yan Song; Donghong Yin; Xiaoxia Li; Qian Guo; Jinju Duan; Shuqiu Zhang
Journal:  Infect Drug Resist       Date:  2022-07-06       Impact factor: 4.177

3.  Clinical Outcomes and Adverse Effects in Septic Patients with Impaired Renal Function Who Received Different Dosages of Cefoperazone-Sulbactam.

Authors:  Chien-Hsiang Tai; Hung-Jen Tang; Chen-Hsiang Lee
Journal:  Antibiotics (Basel)       Date:  2022-03-29

4.  Antimicrobial Resistance in Pathogens Isolated from Blood Cultures: A Two-Year Multicenter Hospital Surveillance Study in Italy.

Authors:  Francesca Licata; Angela Quirino; Davide Pepe; Giovanni Matera; Aida Bianco
Journal:  Antibiotics (Basel)       Date:  2020-12-24

Review 5.  Diagnosis and Management of Bloodstream Infections With Rapid, Multiplexed Molecular Assays.

Authors:  Sherry A Dunbar; Christopher Gardner; Shubhagata Das
Journal:  Front Cell Infect Microbiol       Date:  2022-03-16       Impact factor: 5.293

6.  Prevalence and Antimicrobial Resistance of Enterococcus Species: A Retrospective Cohort Study in Italy.

Authors:  Mariarosaria Boccella; Biagio Santella; Pasquale Pagliano; Anna De Filippis; Vincenzo Casolaro; Massimiliano Galdiero; Anna Borrelli; Mario Capunzo; Giovanni Boccia; Gianluigi Franci
Journal:  Antibiotics (Basel)       Date:  2021-12-19

7.  Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence: A Single Center Study.

Authors:  Emma Montella; Antonino Ferraro; Giancarlo Sperlì; Maria Triassi; Stefania Santini; Giovanni Improta
Journal:  Int J Environ Res Public Health       Date:  2022-02-22       Impact factor: 3.390

  7 in total

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