Comparing in vitro activities of antimicrobial agents against @entity328 using per cent susceptible to recommended MIC breakpoints is not optimal. In this study, MICs of @entity3397 , @entity869 / @entity5899 , @entity2756 , @entity2261 , @entity2929 , @entity803 , @entity206 / @entity207 , @entity2177 , @entity800 , @entity36471 and @entity3477 were determined for 646 strains. Drug activities were compared using MIC frequency distribution curves, scattergrams and linear regression analyses of MICs (log2). MIC frequency distributions did not always correspond to recommended breakpoints for distinguishing susceptible, intermediate and resistant strains. @entity3397 , @entity869 / @entity5899 and @entity2756 had similar activities and were each c. 1-1.5 dilution steps more active than @entity2261 . For all @entity3405 drug pairs, there was a high correlation of MICs with regression line slopes (a approximately equal to 1) and coefficients of determination (R(2) = 0.90-0.97). Although @entity3405 -resistant strains were more likely to be resistant to @entity2929 , @entity803 and/or @entity206 / @entity207 than were @entity3405 -susceptible strains, MIC correlations were relatively poor (R(2) = 0.14-0.46), as they were when the non- @entity3405 drugs were compared with each other (R(2) = 0.10-0.25). @entity36471 and @entity3477 were each c. 2.5 dilution steps more active than @entity2177 and @entity800 . There was no correlation of @entity1536 MICs with MICs of any other drug class (R(2) 0.02). Among the @entity5176 , however, there was a high correlation of MICs with a approximately equal to 1 and R(2) = 0.81-0.92. With the @entity1536 drug pairs, lines of best fit were second-order polynomial equations, consistent with a dissociation of low level resistance mechanisms. In summary, @entity3405 and @entity1536 MICs were predictable within drug classes and testing multiple derivatives within each class is probably not necessary. Although there was some relationship between @entity3405 , @entity2929 , @entity803 and @entity206 / @entity207 MICs, predictability of MICs between drug classes was poor. There was no relationship between @entity1536 MICs and MICs of any of the other drugs tested.

Comparison of antimicrobial in vitro activities against XXXX independent of MIC susceptibility breakpoints using MIC frequency distribution curves, scattergrams and linear regression analyses.

@entity2261 :: ('MESH:D002444', 'Chemical') :: ['cefuroxime'] @entity2756 :: ('MESH:D002443', 'Chemical') :: ['ceftriaxone'] @entity3477 :: ('MESH:C104727', 'Chemical') :: ['moxifloxacin'] @entity3405 :: ('CHEBI:35627', 'Chemical') :: ['beta-lactam'] @entity5176 :: ('MESH:D015363', 'Chemical') :: ['quinolones'] @entity2929 :: ('MESH:D004917', 'Chemical') :: ['erythromycin'] @entity2177 :: ('MESH:D002939', 'Chemical') :: ['ciprofloxacin'] @entity800 :: ('MESH:D015242', 'Chemical') :: ['levofloxacin'] @entity207 :: ('MESH:D013420', 'Chemical') :: ['sulfamethoxazole'] @entity3397 :: ('MESH:D010400', 'Chemical') :: ['Penicillin G', 'penicillin G'] @entity803 :: ('MESH:D013752', 'Chemical') :: ['tetracycline'] @entity869 :: ('MESH:D000667', 'Chemical') :: ['ampicillin'] @entity5899 :: ('MESH:D013407', 'Chemical') :: ['sulbactam'] @entity328 :: ('1313', 'Species') :: ['Streptococcus pneumoniae'] @entity36471 :: ('MESH:C080163', 'Chemical') :: ['Trovafloxacin', 'trovafloxacin'] @entity206 :: ('MESH:D014295', 'Chemical') :: ['trimethoprim'] @entity1536 :: ('CHEBI:23765', 'Chemical') :: ['quinolone']
@entity328 :: (1313,Species) :: ['Streptococcus pneumoniae']
