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DƯỢC LÍ Goodman & Gilman's The Pharmacological Basis of Therapeutics 12th, 2010

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1372 Third, optimal microbial kill by the antibiotic may

be best achieved by maximizing certain shapes of the

concentration-time curve. Certain dose schedules maximize

antimicrobial effect. As an example, consider an

antibiotic with a serum t 1/2

of 3 hours that is being used to

treat a bloodstream infection by a pathogen with an MIC

of 0.5 mg/L, administered with a dosing interval of

24 hours (that is, a once-daily schedule). Figure 48–4A

depicts the concentration-time curve of the antibiotic, with

definitions of peak concentration (C Pmax

), area under the

curve (AUC), and the fraction of the dosing interval for

which the drug concentration remains above the MIC

(T > MIC), as shown. The AUC is a measure of the total

concentration of drug and is calculated by taking an integral

between two time points, 0-24 hours (AUC 0-24

) in this

case. Now, if one were to change the dosing schedule of

SECTION VII

CHEMOTHERAPY OF MICROBIAL DISEASES

Drug concentration (mg/L)

5

4

3

2

1

0

5

4

3

2

1

0

0

A

B

C max = maximum concentration

T>MIC

AUC 0-24h = 24h area under the

concentration-time curve

C max

Microbe’s MIC

AUC 0-8

AUC 8-16h AUC 16-24h

T 1

>MIC T 2 >MIC T 3

>MIC

MIC

3 6 9 12 15 18 21 24

Time in hours

Figure 48–4. Effect of different dose schedules on shape of concentration-time

curve. The total AUC for the fractionated dose in

curve B is determined by adding AUC 0-8h

, AUC 8-16h

and AUC 16-24h

,

which adds up to the same AUC 0-24h

in curve A. The time that the

drug concentration exceeds MIC in curve B is also determined by

adding up T 1

>MIC, T 2

>MIC, and T 3

>MIC, which results in a fraction

greater than that for curve A.

the same antibiotic amount by splitting it into three equal

doses administered at 0, 8, and 16 hours, the shape of the

concentration-time curves changes to that shown in

Figure 48–4B. Because the same cumulative dose has

been given for the dosing interval of 24 hours, the AUC 0-24

will be similar whether it was given once a day or three

times a day. For the same pathogen, therefore, the change

in dose schedule does not change the AUC 0-24

/MIC (or

AUC 0-24

/EC 90

). However, the C Pmax

will decrease by a

third when the total dose is split into thirds and administered

more frequently (Figure 48–4B). Thus, when a dose

is fractionated and administered more frequently, the

C Pmax

/MIC ratio decreases. In contrast, the time that the

drug concentration persists above MIC (T > MIC) will

increase with the more frequent dosing schedule, despite

the same cumulative dose being administered. Which

of the three indices (AUC/MIC, or C Pmax

/MIC or T>MIC)

is the most important to the outcome being assessed (i.e.,

microbial kill)? A common simple approach to the answer

is to determine which of these patterns best approximates

a perfect inhibitory sigmoid E max

curve (based on various

statistical assessments of goodness of fit).

Some classes of antimicrobial agents kill best when concentration

persists above MIC for longer durations of the dosing interval

while kill is decreased by reducing the time above MIC. Indeed,

increasing the drug concentration beyond 4-6 times the MIC does not

increase microbial kill. Two good examples are β-lactam antibacterials

(e.g., penicillin) and the antifungal agent 5-flourocytosine (5-FC)

(Ambrose et al., 2007; Andes and van Ogtrop, 2000). In fact, there are

usually good biochemical explanations for this pattern for the drugs.

The clinical implication, however, is that a drug optimized by T > MIC

should be dosed more frequently, or if possible should have its t 1/2

prolonged

by other drugs, so that drug concentrations persist above MIC

(or EC 95

) as long as possible. Thus the effectiveness of penicillin is

enhanced when it is given as a continuous infusion. HIV protease

inhibitors are often “boosted” with ritonavir. This “boosting” inhibits

the metabolism of the protease inhibitors by CYPs 3A4 and 2D6,

thereby prolonging time above EC 95

.

However, the peak concentration is what matters for some

antimicrobial agents. Persistence of concentration above MIC has

less relevance for these drugs, meaning that these drugs can be dosed

more intermittently. Aminoglycosides are a prime example of this

class as they used to be given three times a day but are highly effective

when given once a day. These C Pmax

/MIC-linked drugs are often

able to be administered less frequently due to their long duration of

post-antibiotic effect (PAE). In other words, effect continues long

after antibiotic concentrations decline below the MIC. An example

of such a drug is rifampin (Gumbo et al., 2007a). The entry of

rifampin into Mycobacterium tuberculosis increases with increased

concentration in the bacillus microenvironment, likely because of a

saturable transport process. Once inside the bacteria, the drug’s

macrocyclic ring binds the β-subunit of DNA-dependent RNA polymerase

(rpoB) to form a very stable drug-enzyme complex within

10 minutes, a process not enhanced by longer incubation of drug and

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