1. Beş Yıllık Süreçte Elde Edilen Alt Solunum Yolu Patojenleri ve Antimikrobiyal Direnç Durumları.
- Author
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Orhan, Zerife, Küçük, Burak, Doğaner, Adem, Kayış, Arzu, and Aral, Murat
- Abstract
Objective: Lower respiratory tract infections are one of the diseases causing high morbidity and mortality worldwide. The aim of this study was to determine the pathogens isolated from lower respiratory tract specimens and their antibiotic resistance status. Methods: All lower respiratory tract samples sent to our laboratory between 2018 and 2022 were evaluated retrospectively. In addition to conventional methods, species identification and antibiotic susceptibility tests were performed with an automated system (BD Phoenix 100). Results: Over five years, a total of 2889 isolates were obtained from lower respiratory tract samples. Among these, 61,33% were from male patients. Most respiratory pathogens (74,59%) were isolated from intensive care units, followed by inpatient wards (15,75%) and outpatient clinics (9,66%). Of the 2889 strains, 85.12% were identified as gram-negative bacteria, 10.59% as gram-positive bacteria and 4.29% as Candida spp. Predominant microorganisms included Acinetobacter baumannii (32,12%), Pseudomonas aeruginosa (21,32%), Klebsiella pneumoniae (16,68%) and Staphylococcus aureus (9,10%). Acinetobacter baumannii showed high resistance to all tested antibiotics (81,20-97,53%). Pseudomonas aeruginosa exhibited 76,48% resistance to levofloxacin but 88,3% susceptibility to amikacin. Klebsiella pneumoniae displayed high resistance rates to tested antibiotics (55.94-92.33%). Staphylococcus aureus strains were 100% resistant to penicillin, with half showing resistance to oxacillin (49,61%) but high susceptibility to vancomycin (100%), linezolid (99,62%), and teicoplanin (98,86%). Conclusion: This study underscores the significant antimicrobial resistance observed among bacteria isolated from respiratory tract samples. Accurate identification of microorganisms causing lower respiratory tract infections and their antibiotic susceptibility patterns is crucial for selecting targeted and effective antibiotic therapy and preventing the emergence of resistant bacteria. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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