ABSTRACT
Introduction: Antibiogram use is crucial in the fight against antibiotic resistance in Syria, helping to guide treatment decisions, monitor resistance trends, and implement measures to mitigate this global health threat. This study explores the predictors of antibiogram performance and antibiotic resistance patterns in hospital settings in the Northern Syrian region. Methods: An observational cross-sectional study was performed over six months, from the beginning of September 2022 to February 2023, targeting patients admitted to two hospitals in Syria with susceptibility to infection. The study excluded patients who did not consent or were unwilling to participate, while all individuals admitted due to infectious diseases, regardless of age, sex, or race, were included in the research. Data were collected prospectively, and antimicrobial susceptibility evaluations were performed using the disc diffusion method (the Kirby-Bauer test). Statistical analyses, including the analysis of the results, were conducted utilizing the Statistical Package for Social Sciences (SPSS Inc., Chicago, Illinois) Version 29. Results: Of 300 hospitalized patients taking antibiotics, an antibiogram was performed for 200 individuals (cases), while 100 patients (controls) received direct treatment. One-hundred eighty-five cases had a positive culture (69.7% Gram-negative and 30.3% Gram-positive) and subsequently underwent assessment for antibiotic resistance. Cases comprised more females (56.0%) than controls (48.0%), with no statistically significant differences (p > 0.05). Significantly more patients between 25 and 63 were cases (63.8%) than controls (51.0%), while older ages were notably higher among controls (31.7%; p = 0.044), history of cardiovascular diseases was higher among controls (59.0%) than cases (47.0%; p = 0.050). Escherichia coli (N = 60; 30%), Klebsiella (N = 37; 18.5%), and Streptococcus (N = 32; 16%) were the most common bacteria. The study explored antibiotic resistance patterns among identified germs, emphasizing the high sensitivity of all identified germs for broad-spectrum antibiotics, including meropenem, amikacin, gentamicin, and fluoroquinolones (levofloxacin, ciprofloxacin). High resistance (%Sensitivity below 60%) was noted for Sulfamethoxazole, nalidixic acid, amoxiclav, lincomycin cefotaxime, ceftriaxone, and cefixime. Specifically, Escherichia coli exhibited robust sensitivity to meropenem (100%), amikacin (93.2%), and ciprofloxacin (92.7%). However, notable resistance was observed against sulfamethoxazole (68.8%), amoxicillin-clavulanate (78.3%), and cefotaxime (88.3%). For Klebsiella, resistance rates were prominent, particularly against sulfamethoxazole (69.4%), amoxicillin (83.8%), and nalidixic acid (100%). Among Gram-positive bacteria, Staphylococcus demonstrated significant resistance to sulfamethoxazole (95.2%) and ceftriaxone (78.3%) while maintaining high sensitivity to meropenem (100%) and vancomycin (100%). Streptococcus exhibited notable resistance against sulfamethoxazole (87.5%) and cefotaxime (90.6%). Conclusion: The increase in resistance to penicillins, sulfonamides, and cephalosporins, along with continued sensitivity to broad-spectrum antibiotics, including aminoglycosides, carbapenems, and fluoroquinolones, emphasizes the importance of promoting antibiogram use and antibiotic stewardship programs. The limited availability of new antibiotics reinforces the need for urgent efforts to optimize antibiotic use and improve clinical outcomes in Northern Syria.
ABSTRACT
In hospitals and other clinical settings, Methicillin-resistant Staphylococcus aureus (MRSA) is a particularly dangerous pathogen that can cause serious or even fatal infections. Thus, the detection and differentiation of MRSA has become an urgent matter in order to provide appropriate treatment and timely intervention in infection control. To ensure this, laboratories must have access to the most up-to-date testing methods and technology available. This study was conducted to determine whether protein fingerprinting technology could be used to identify and distinguish MRSA recovered from both inpatients and outpatients. A total of 326 S. aureus isolates were obtained from 2800 in- and outpatient samples collected from King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia, from October 2018 to March 2021. For the phenotypic identification of 326 probable S. aureus cultures, microscopic analysis, Gram staining, a tube coagulase test, a Staph ID 32 API system, and a Vitek 2 Compact system were used. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), referred to as protein fingerprinting, was performed on each bacterial isolate to determine its proteomic composition. As part of the analysis, Principal Component Analysis (PCA) and a single-peak analysis of MALDI-TOF MS software were also used to distinguish between Methicillin-sensitive Staphylococcus aureus (MSSA) and MRSA. According to the results, S. aureus isolates constituted 326 out of 2800 (11.64%) based on the culture technique. The Staph ID 32 API system and Vitek 2 Compact System were able to correctly identify 262 (80.7%) and 281 (86.2%) S. aureus strains, respectively. Based on the Oxacillin Disc Diffusion Method, 197 (62.23%) of 326 isolates of S. aureus exhibited a cefoxitin inhibition zone of less than 21 mm and an oxacillin inhibition zone of less than 10 mm, and were classified as MRSA under Clinical Laboratory Standards Institute guidelines. MALDI-TOF MS was able to correctly identify 100% of all S. aureus isolates with a score value equal to or greater than 2.00. In addition, a close relationship was found between S. aureus isolates and higher peak intensities in the mass ranges of 3990 Da, 4120 Da, and 5850 Da, which were found in MRSA isolates but absent in MSSA isolates. Therefore, protein fingerprinting has the potential to be used in clinical settings to rapidly detect and differentiate MRSA isolates, allowing for more targeted treatments and improved patient outcomes.
