Discussion
The primary measure of antibiotic activity is the minimum inhibitory concentration (MIC). The MIC is the lowest concentration of an antibiotic that completely inhibits the growth of a microorganism in vitro. While the MIC is a good indicator of the potency of an antibiotic, it indicates nothing about the time course of antimicrobial activity.
PK parameters quantify the serum level time course of an antibiotic. The three pharmacokinetic parameters that are most important for evaluating antibiotic efficacy are the peak serum level (Cmax), the trough level (Cmin), and the Area Under the serum concentration time Curve (AUC). While these parameters quantify the serum level time course, they do not describe the killing activity of an antibiotic.
Integrating the PK parameters with the MIC gives us three PK/PD parameters which quantify the activity of an antibiotic: the Peak/MIC ratio, the T>MIC, and the 24h-AUC/MIC ratio. The Peak/MIC ratio is simply the Cpmax divided by the MIC. The T>MIC (time above MIC) is the percentage of a dosage interval in which the serum level exceeds the MIC. The 24h-AUC/MIC ratio is determined by dividing the 24-hour-AUC by the MIC.
Antimicrobial Patterns
The three pharmacodyamic properties of antibiotics that best describe killing activity are time-dependence, concentration-dependence, and persistent effects. The rate of killing is determined by either the length of time necessary to kill (time-dependent), or the effect of increasing concentrations (concentration-dependent). Persistent effects include the Post-Antibiotic Effect (PAE). PAE is the persistant suppression of bacterial growth following antibiotic exposure.
Using these parameters, antibiotics can be divided into 3 categories:
Pattern of Activity
|
Antibiotics
|
Goal of Therapy
|
PK/PD Parameter
|
Type I
Concentration-dependent killing and
Prolonged persistent effects
|
Aminoglycosides
Daptomycin
Fluoroquinolones
Ketolides
|
Maximize concentrations
|
Peak/MIC
|
Type II
Time-dependent killing and
Minimal persistent effects
|
Carbapenems
Cephalosporins
Erythromycin
Linezolid
Penicillins
|
Maximize duration of exposure
|
T>MIC
|
Type III
Time-dependent killing and
Moderate to prolonged persistent effects.
|
Azithromycin
Clindamycin
Oxazolidinones
Tetracyclines
Vancomycin
|
Maximize amount of drug
|
24h-AUC/MIC
|
For Type I antibiotics (AG's, fluoroquinolones, daptomycin and the ketolides), the ideal dosing regimen would maximize concentration,
because the higher the concentration, the more extensive and the faster is the degree of killing. Therefore, the Peak/MIC ratio is the important
predictors of antibiotic efficacy. For aminoglycosides, it is best to have a Peak/MIC ratio of at least 8-10 to prevent resistence.
Type II antibiotics (beta-lactams, clindamycin, erythromcyin, and linezolid) demonstrate the complete opposite properties. The ideal dosing
regimen for these antibiotics maximizes the duration of exposure. The T>MIC is the parameter that best correlates with efficacy. For
beta-lactams and erythromycin, maximum killing is seen when the time above MIC is at least 70% of the dosing interval.
Type III antibiotics (vancomycin, tetracyclines, azithromycin, and the dalfopristin-quinupristin combination) have mixed properties, they have
time-dependent killing and moderate persistent effects. The ideal dosing regimen for these antibiotics maximizes the amount of drug received.
Therefore, the 24h-AUC/MIC ratio is the parameter that correlates with efficacy. For vancomycin, a 24h-AUC/MIC ratio of at least 400 is necessary for MRSA.
Outcome studies
Aminoglycoside Pharmacodynamics in Vivo
Initial serum peak level
|
Died
|
Survived
|
< 5mcg/ml
|
21%
|
79%
|
>= 5mcg/ml
|
2%
|
98%
|
Moore et al, J Infect Dis 149: 443, 1984
Aminoglycoside Pharmacodynamics in vivo
Moore et al, J Infect Dis 155: 93, 1987
Vancomycin Outcome vs 24h-AUC/MIC ratio
An early study by Hyatt et al, found:
24h-AUC/MIC ratio
|
Satisfactory
|
Unsatisfactory
|
< 125
|
4 (50%)
|
4
|
> 125
|
71 (97%)
|
2
|
A 2012 study by Brown et al found that patients with an AUC24/MIC ratio of less than 211 had a greater that 4-fold increase in attributable mortality
than patients who received vancomycin doses that achieved an AUC24/MIC ratio of greater than 211.
A 2016 meta-analysis by Men et al, demonstrated that achieving a high 24-hr AUC/MIC of vancomycin significantly decreases mortality rates by 53%
and rates of infection treatment failure by 61%, with 400 being a reasonable target.
Fluoroquinolone Pharmacodynamics vs S. pneumoniae
24h-AUC/MIC ratio
|
Microbiological Response
|
< 33.7
|
(64%)
|
> 33.7
|
(100%)
|
Ambrose et al, Antimicrob Agents Chemo 10: 2793, 2001
Pharmacodynamics of Beta-Lactams and Macrolides in Otitis Media
Craig et al, Ped Infect Dis 15: 255, 1996
Conclusion
PK dosing has shown us that one dose is not appropriate for all patients. Pharmacodynamics shows us that one target level is not appropriate for all patients. We need to evalaute both the serum level data and the MIC, taking into consideration the PD properties of the drug.
Numerous outcome studies have shown that class-appropriate PK/PD parameters are excellent predictors of antibiotic efficacy.
References
- Rodvold KA. Pharmacodynamics of antiinfective therapy: taking what we know to the patient's bedside.
Pharmacotherapy. 2001 Nov;21(11 Pt 2):319S-330S.
[ PubMed ]
- Gunderson BW, Ross GH, Ibrahim KH, Rotschafer JC. What do we really know about antibiotic pharmacodynamics?
Pharmacotherapy. 2001 Nov;21(11 Pt 2):302S-318S.
[ PubMed ]
- Nicolau DP. Optimizing outcomes with antimicrobial therapy through pharmacodynamic profiling.
J Infect Chemother. 2003 Dec;9(4):292-6.
[ PubMed ]
- Craig Wm. The Role of Pharmacodynamics in Effective Treatment of Community Acquired Pathogens.
Advanced Studies in Medicine 2002;2(4):126-134.
- Li RC, Zhu ZY. The integration of four major determinants of antibiotic action: bactericidal activity, postantibiotic effect, susceptibility, and pharmacokinetics.
J Chemother. 2002 Dec;14(6):579-83.
[ PubMed ]
- Frimodt-Moller N. How predictive is PK/PD for antibacterial agents?
Int J Antimicrob Agents. 2002 Apr;19(4):333-9.
[ PubMed ]
- Schentag JJ. Pharmacokinetic and pharmacodynamic surrogate markers: studies with fluoroquinolones in patients.
Am J Health Syst Pharm. 1999 Nov 15;56(22 Suppl 3):S21-4.
[ PubMed ]
- Wright DH, Brown GH, Peterson ML, Rotschafer JC. Application of fluoroquinolone pharmacodynamics.
J Antimicrob Chemother. 2000 Nov;46(5):669-83.
[ PubMed ]
- Van Bambeke F, Tulkens PM. Macrolides: pharmacokinetics and pharmacodynamics.
Int J Antimicrob Agents. 2001;18 Suppl 1:S17-23.
[ PubMed ]
- Turnidge JD. The pharmacodynamics of beta-lactams.
Clin Infect Dis. 1998 Jul;27(1):10-22.
[ PubMed ]
- Ambrose PG, et al. Pharmacodynamics of fluoroquinolones against Streptococcus pneumoniae.
Antimicrob Agents Chemother. 2001 Oct;45(10):2793-7.
[ PubMed ]
- Moore RD, Smith CR, Lietman PS. The association of aminoglycoside plasma levels with mortality in patients with gram-negative bacteremia.
J Infect Dis. 1984 Mar;149(3):443-8.
[ PubMed ]
- Moore RD, Lietman PS, Smith CR. Clinical response to aminoglycoside therapy: importance of the ratio of peak concentration to minimal inhibitory concentration.
J Infect Dis. 1987 Jan;155(1):93-9.
[ PubMed ]
- Hyatt JM, McKinnon PS, Zimmer GS, Schentag JJ. The importance of pharmacokinetic pharmacodynamic surrogate markers to outcome.
Clin Pharmacokinet. 1995 Feb;28(2):143-60.
[ PubMed ]
- Brown J, Brown K, Forrest A. Vancomycin AUC24/MIC Ratio in Patients with Complicated Bacteremia and Infective Endocarditis Due to
Methicillin-Resistant Staphylococcus aureus and Its Association with Attributable Mortality during Hospitalization. Antimicrobial Agents
and Chemotherapy. 2012;56(2):634-638.
[ PubMed ]
- Men P, Li H-B, Zhai S-D, Zhao R-S (2016) Association between the AUC0-24/MIC Ratio of Vancomycin and Its Clinical Effectiveness: A Systematic
Review and Meta-Analysis. PLoS ONE 11(1): e0146224. [ PubMed ]