Antibiotic resistance is a global problem today. The knowledge of bacterial resistances trend is crucial for antibiotic empiric therapy. Nephrological practice meets several sites of microbiological interest. We aimed to study the prevalence of bacterial pathogens and their emerging resistance patterns to commonly used antibiotics.
We reviewed 1249 microbiologic reports obtained between January 2008 and December 2012 from patients admitted to Nephrology Department.
The most frequent infection sites (total number 1249)
Number
%
Urine culture
593
47.5
Soft tissues
134
10.8
Peritoneal fluid
109
8.8
Bloodstream
104
8.4
Emergency skin
68
5.6
CVC-tip
67
5.4
PC-tip
30
2.4
The most frequent among 1249 identified bacterial pathogens:
Bacterial Pathogens
number
1. Escherichia Coli
241
19.3
2. Staphylococcus Aureus
168
13.4
3. Enterococcus Faecalis
156
12.5
4. Pseudomonas Aeruginosa
107
8,6
5. Candida
103
8.2
6. Staphylococcus Epidermidis
80
7.3
7. Klebsiella Pneumoniae
75
6.0
8. Staphylococcus Haemoliticus
9. Enterococcus Cloacae
25
2.0
We analyzed the antibiotic susceptibility patterns for the first 4 identified bacterial pathogens.
Positive versus total antibiotic susceptibility tests
Escherichia Coli
Imipenem: 237 / 237; meropenem 140/140, colistin 121/121; ertapenem 115/115; tigeciclina 112/113, 99.1%; amikacin 216/221, 97.7%
Staphylococcus Aureus
Linezolid: 163/163; mupirocin 130/130; tigecycline 102/102; teicoplanin and vancomycin 165/166, 99.4%; fusidic acid 163/165, 98.8%; daptomycin 73/74, 98.6%; trimethoprim /sulfamethoxazol 161/165, 97.6%; tobramycin 121/130, 93.1%; tetracycline 148/162, 91,4%.
Enterococcus Faecalis
Teicoplanin 145/145; daptomycin 26/26; amoxicillin-clavulanic acid 93/94, 98.9%; vancomycin 143/145, 98.6%; ampicillin- sulbactam 120/122, 98.6%, imipenem 126/133, 94.7%, linezolid 127/140, 90.7%.
Pseudomonas Aeruginosa
Colistin: 107/107
Antibiotic resistance of bacterial pathogens to commonly used antibiotics is increasing. The surveillance of antimicrobial resistance is necessary. Our report on bacterial spectra of major antibiotic susceptibility patterns (Figure) enables a more rational use of antibiotics.
