Microbiota of Dental Abscess and their Susceptibility to Empirical Antibiotic Therapy.
Contemp Clin Dent
; 13(4): 369-374, 2022.
Article
em En
| MEDLINE
| ID: mdl-36687001
ABSTRACT
Context Resistant pathogens to purulent odontogenic infections have evolved due to misuse of antibiotics. Hence, it is important to use a suitable antibacterial agent. Aim:
This study aimed to identify the common bacterial species causing odontogenic infections and to determine their antibiotic susceptibility profile to amoxicillin, amoxicillin and clavulanic acid, azithromycin, and linezolid. Settings andDesign:
This was an in vitro cross-sectional study. Material andMethods:
Fifty pus samples from odontogenic abscess were cultured and antibiotic susceptibility tests were performed as per the standard microbiological procedures. Statistical Analysis Used Binomial test and Pearson's Chi-square test were used for statistical analysis.Results:
Out of the 50 samples cultured, 30 samples showed growth. The distribution of growth among the 30 samples was Gram-positive cocci (n = 23, 67.65%) and Gram-negative bacilli (n = 11, 32.35%). Gram-positive isolates that were grown were Enterococcus faecalis (38.24%) followed by Staphylococcus aureus (29.41%) and Gram-negative bacilli that were isolated were Klebsiella pneumoniae (14.71%), Pseudomonas aeruginosa (8.82%), Escherichia coli (5.88%), and Enterobacter (2.94%). Enterococcus isolates were highly susceptible to amoxicillin (76.92%). An increase in the zone of inhibition to amoxicillin-clavulanic acid was appreciated more for Staphylococcus (50%) than Enterococcus (30.76%). Enterococcus and Staphylococcus showed high susceptibility of 92.31% and 90% to linezolid, respectively. E. coli and Enterobacter were 100% susceptible to amoxicillin. All the Gram-negative bacteria except for P. aeruginosa were 100% highly susceptible to amoxicillin-clavulanic acid.Conclusions:
Culture-guided antibiotic prescriptions are necessary to prevent the emergence of antibiotic-resistant bacteria.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article