Analysis of Pathogenic Bacterial Infection and Drug Resistance in Patients with Oral Diseases in Nanyang Stomatological Hospital From 2021 to 2022
Objective To analyze the distribution characteristics and drug resistance of pathogens in oral disease patients at Nanyang Stomatological Hospital from 2021 to 2022.Methods A total of 179 patients with oral diseases admitted to Nanyang Stomatological Hospital from January 2021 to December 2022 were selected to collect oral secretions of patients,the pathogen culture and drug sensitivity test were conducted,and the distribution characteristics and drug resistance of pathogens were analyzed.Results Fifty-eight strains of pathogenic bacteria were isolated from 179 patients with oral diseases.There were 17 Gram-negative bacteria,accounting for 29.31%,mainly Pseudomonas aeruginosa(5.17%)and Klebsiella pneumoniae(8.62%).There were 41 strains of Gram-positive bacteria,accounting for 70.69%,mainly Staphylococcus epidermidis(13.79%)and Streptococcus asterae subspecies(20.69%).The resistance rate of Pseudomonas aeruginosa to amicacin,gentamicin and tobramycin was high,and the resistance rate to ciprofloxacin,tazobactam,polymyxin B and ceftazidme was 0.00%.The resistance rate of Klebsiella pneumoniae to amikacin,sulbactam,ciprofloxacin,gentamicin,tobramycin and ceftazidime was higher,to tazobactam and polycolistin B was 0.00%.Staphylococcus epidermidis had high resistance rate to azithromycin,erythromycin and penicillin.Streptococcus asteroidis subspecies had no resistance to dattomycin,meropenem,linezolid,penicillin,chloramphenicol and rifampicin.Staphylococcus epidermidis had no resistance to dattomycin,meropenem,linezolid and rifampicin.Conclusion From 2021 to 2022,there were many types of pathogenic bacterial infections in patients with oral diseases at Nanyang Stomatological Hospital,mainly Gram-positive.Clinically,it is necessary to refer to the results of pathogenic bacterial testing and select reasonable antibiotics for anti infection treatment based on the resistance status of pathogenic bacteria.
万方数据
维普
