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[1] [9] The results of antimicrobial susceptibility tests performed during a given time period can be compiled, usually in the form of a table, to form an antibiogram. [ 31 ] [ 32 ] Antibiograms help the clinician to select the best empiric antimicrobial therapy based on the local resistance patterns until the laboratory test results are available.
Zone sizes are measured from the edge of the disk to the end of the clear zone. Interpretation is more complicated in mixed susceptibility populations. These are plotted as linear dimensions or squares of distances as a function of the natural logarithm of antibiotic concentration in the disks.
This is called a D-zone test, or D test. If a 'D' shape is formed around the clindamycin disk (distinguished from a circular zone of inhibition) then the isolate is reported as resistant to clindamycin. [5] This occurs due to erythromycin inducing the bacteria's erm gene, and thus making it resistant to clindamycin (MLS-B phenotype). [6] [7]
Etest is a quantitative technique for determining the MIC of microoganisms. It is used for a range of Gram-negative and Gram-positive bacteria such as Pseudomonas, [2] [3] Staphylococcus, [4] and Enterococcus species, [5] as well as fastidious bacteria, such as Neisseria and Streptococcus pneumoniae. [1]
The composition of Mueller Hinton agar can affect the growth characteristics of bacterial isolates, as well as their response to antibiotics. For example, variations in the pH of the medium can affect the activity of certain antibiotics, and the presence of certain nutrients can promote the growth of specific bacterial species.
An example of such testing is antibiotic susceptibility testing by measurement of minimum inhibitory concentration which is routinely used in medical microbiology and research. If a suspension used is too heavy or too dilute, an erroneous result (either falsely resistant or falsely susceptible) for any given antimicrobial agent could occur.
Narrow-spectrum antibiotics have low propensity to induce bacterial resistance and are less likely to disrupt the microbiome (normal microflora). [3] On the other hand, indiscriminate use of broad-spectrum antibiotics may not only induce the development of bacterial resistance and promote the emergency of multidrug-resistant organisms, but also cause off-target effects due to dysbiosis.
An example is India, where in the state of Punjab 73% of the population resorted to treating their minor health issues and chronic illnesses through self-medication. [ 31 ] Self-medication is higher outside the hospital environment, and this is linked to higher use of antibiotics, with the majority of antibiotics being used in the community ...