Introduction: Antimicrobial Resistance (AMR) has emerged as a significant public health and economic issue worldwide, affecting both developed and developing countries. Our research has been motivated by the increasing prevalence of carbapenem-resistant P. aeruginosa, A.baumannii, and K. pneumonia in recent years. Goal: To determine antibiotic susceptibility of the pathogens isolated from wound infection and to detect its multidrug resistance. Material and Method: Samples were collected from patients with wound infections. Pathogens were identified by using the traditional culture methods and the API system with serotypes determined phenotypically. Antibiotic susceptibility was assessed using the disk diffusion method and the MIC to analyse antibiotic resistance. Results: In the study, among 11,221 recorded cases of wound infections in 2023, bacterial pathogens were detected and identified at the species level in 10,339 cases (92.1%).
For identification results showed that A. baummannii were detected from 138 cases (1.3%), 216 cases (2.08%) of Ps. aeruginosa, 5 cases (0.04%) of B. cepacia, 1,383 cases (13.4%) of Enterobacteriaceae, 205 cases (2.0%) of Enterococcus spp., 8,329 cases (80.5%) of Staphylococcus spp., and 63 cases (0.6%) of Streptococcus spp.
Antibiotic susceptibility of these bacteria was assessed and determined multidrug resistance. We found the followings: For A. baumannii were resistant with MDR in 68 cases (49.3%), MRSA in 4,243 cases (51.1%), MDRSta. aureus in 1,805 cases (29.4%), VRE in 34 cases (16.5%), ESBL in 4.6%, KPC in 26 cases (11.1%), FRNF in 24 cases (11.6%), and CRPA in 13 cases (6.3%). Conclusion
1. Of all wound infections reported in 2023 in 92.1% there were detected pathogenic bacteria, of which S.aureus were in 80.5% and E. coli was in 13.4%
2. 60.7% of the pathogenic bacteria detected in wound infections were multidrug-resistant, with MRSA accounting for 51.1% and MDR A.baumannii accounting for 49.3%, indicating high antimicrobial resistance(AMR).

Background: We aimed to study the etiology and transmission route of diseases introducing the modern, rapid and high-sensitivity molecular genetic diagnostic methods for salmonellosis. Material and Method: In the study, we collected 680 stool samples and defined organisms of food intoxication by identification of bacteria, polymerase chain reaction (PCR) and determined serotype and antibiotic resistance. Result: Salmonella spp was detected from the stool of 25 (42.3%) patients out of 59 outpatient clinic and of 170 (27.4%) patients out of 621 inpatient clinic with diagnosis of food intoxication. In total there was detected 195 salmonella spp, and out of this isolated Sal. typhimurum in 193 (98.9%), and Sal. enteritidis was in 2 (1.1%) patients, respectively. We defined Sal. typhimurum in selected 32 cultures and did not detect resistant gene DT-104 ACS-SuT by PCR. Conclusion As resulted in the survey, we defined 195 (28,6) Salmonella typhimurum among the 680 patients who were suffered from food intoxication, and revealed fast foods, animal derived foods such as chicken, fish caused the food intoxication. Sal. typhimurium not resistance to antibiotics.