Literature DB >> 34356772

Lower Respiratory Tract Pathogens and Their Antimicrobial Susceptibility Pattern: A 5-Year Study.

Biagio Santella1, Enrica Serretiello1, Anna De Filippis2, Folliero Veronica1, Domenico Iervolino3, Federica Dell'Annunziata2, Roberta Manente1, Francesco Valitutti4, Emanuela Santoro5, Pasquale Pagliano5, Massimiliano Galdiero1,2, Giovanni Boccia5,6, Gianluigi Franci5,6.   

Abstract

Lower respiratory tract infections (LRTIs) are the most common infections in humans. It is estimated that 2.74 million deaths worldwide occur each year due to LRTIs. The aim of the study was to determine the frequency and antibiotic susceptibility pattern of microorganisms isolated from respiratory samples of patients with LRTIs. Between January 2015 and December 2019, a total of 7038 sputum and bronchoaspirate samples from suspected LRTI patients were collected. Among them, 2753 samples (39.1%) showed significant microbial growth on culture media. The LRTI rate was higher in patients with male gender (67.1%) and with age between 40-59 years (48.6%). The microorganism identification and antibiotic susceptibility testing were performed with Vitek 2. Out of 4278 isolates species, 3102 (72.5%) were Gram-negative bacteria, 1048 (24.5%) were Gram-positive bacteria, and 128 (3.0%) were Candida spp. Major microorganisms isolated were Acinetobacter baumannii (18.6%), Staphylococcus aureus (15.2%), Pseudomonas aeruginosa (14.2%), and Klebsiella pneumoniae (10.9%). In antimicrobial susceptibility testing, Staphylococcus aureus isolates were mostly resistant to Penicillin G (84.1%) and Oxacillin (48.1%), whereas they demonstrated maximum sensitivity to Tigecycline (100%) and Linezolid (99.5%). Among Gram-negative isolates, Acinetobacter baumannii showed maximum sensitivity to Colistin but was resistant to other antibiotics (95-99%). Klebsiella pneumoniae isolates were mostly resistant to Cefotaxime (72.7%) and sensitive to Gentamicin (54.3%), and Pseudomonas aeruginosa was resistant to Ciprofloxacin (40.3%) and sensitive to Amikacin (85.9%). Gram-negative bacteria represented the species most commonly isolated. A high rate of antimicrobial resistance was observed in this study. In conclusion, the correct identification of causative microorganisms and their susceptibility patterns to antibiotics is crucial for choosing targeted and effective antibiotic therapy in LRTIs, and to prevent the emergence of multidrug-resistant bacteria.

Entities:  

Keywords:  antimicrobial resistance; antimicrobial stewardship; epidemiology; lower respiratory tract infections; nosocomial infections

Year:  2021        PMID: 34356772     DOI: 10.3390/antibiotics10070851

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


  6 in total

1.  Positive Bacterial Culture among Lower Respiratory Tract Specimens of Patients in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Authors:  Shusila Khadka; Achut Barakoti; Ram Prasad Adhikari; Laxmi Kant Khanal; Jyotshna Sapkota
Journal:  JNMA J Nepal Med Assoc       Date:  2022-04-15       Impact factor: 0.556

2.  Analysis of Microbiological and Clinical Characteristics of Bacterial Infection in Patients with Pulmonary Infection.

Authors:  Taimei Duan
Journal:  Comput Intell Neurosci       Date:  2022-06-16

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.  Synergistic Effect of Polyphenol-Rich Complex of Plant and Green Propolis Extracts with Antibiotics against Respiratory Infections Causing Bacteria.

Authors:  Anna Ramata-Stunda; Zaiga Petriņa; Valda Valkovska; Mārtiņs Borodušķis; Līga Gibnere; Eleonora Gurkovska; Vizma Nikolajeva
Journal:  Antibiotics (Basel)       Date:  2022-01-26

5.  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

6.  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

  6 in total

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