International Journal of Infectious Diseases
Volume 13, Issue 4 , Pages 483-487, July 2009

Pharmacodynamic target attainment potential of azithromycin, clarithromycin, and telithromycin in serum and epithelial lining fluid of community-acquired pneumonia patients with penicillin-susceptible, intermediate, and resistant Streptococcus pneumoniae

  • Ayman M. Noreddin

      Affiliations

    • College of Pharmacy, University of Minnesota, 1110 Kirby Dr., Duluth, MN 55812, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 218 726 6028; fax: +1 218 726 6500.
  • ,
  • Walid F. El-Khatib

      Affiliations

    • College of Pharmacy, University of Minnesota, 1110 Kirby Dr., Duluth, MN 55812, USA
    • Faculty of Pharmacy, Ain-Shams University, Cairo, Egypt
  • ,
  • Jason Aolie

      Affiliations

    • College of Pharmacy, University of Minnesota, 1110 Kirby Dr., Duluth, MN 55812, USA
  • ,
  • Ahmed H. Salem

      Affiliations

    • College of Pharmacy, University of Minnesota, 1110 Kirby Dr., Duluth, MN 55812, USA
    • Faculty of Pharmacy, Ain-Shams University, Cairo, Egypt
  • ,
  • George G. Zhanel

      Affiliations

    • Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada

Received 25 May 2008; received in revised form 31 July 2008; accepted 15 August 2008. published online 01 December 2008.

Corresponding Editor: William Cameron, Ottawa, Canada

Article Outline

Summary 

Objective

To compare the probability of target attainment (PTA) for macrolides and ketolides against penicillin-susceptible, intermediate, and resistant Streptococcus pneumoniae in both serum and epithelial lining fluid (ELF) of patients with community-acquired pneumonia (CAP).

Methods

Monte Carlo simulations were used to assess the attainment of the bacterial eradication-linked pharmacodynamic index of the free drug area under the concentration–time curve over 24hours to minimum inhibitory concentration (fAUC0–24/MIC90) by azithromycin, clarithromycin, and telithromycin, at therapeutic doses, against penicillin-susceptible, intermediate, and resistant S. pneumoniae.

Results

In serum, azithromycin and clarithromycin were found to have a probability of attaining the recommended fAUC0–24/MIC90 ratio of 30 in 50.2% and 74.6%, respectively, of CAP patients with penicillin-intermediate strains, and a probability of 36.9% and 60.7%, respectively, in cases of penicillin-resistant strains. Telithromycin maintained a probability of reaching the fAUC0–24/MIC90 ratio of 30 in serum and ELF in 89.1% of CAP patients, regardless of the penicillin resistance of the strain.

Conclusions

Clarithromycin results in a higher PTA than azithromycin in the treatment of penicillin-susceptible S. pneumoniae, but both of these agents exhibit a decreasing efficacy as S. pneumoniae penicillin resistance increases. When compared to clarithromycin and azithromycin, telithromycin maintains higher PTA in CAP patients with penicillin-resistant strains of S. pneumoniae.

Keywords: Macrolides, Ketolides, Streptococcus pneumoniae, Monte Carlo simulation, Bacterial resistance

 

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Introduction 

Streptococcus pneumoniae is currently a leading causative organism of a wide range of community-acquired bacterial infections, including pneumonia, otitis media, sinusitis, bacteremia, and meningitis.1, 2 The morbidity and mortality associated with S. pneumoniae infections continues to place a heavy socioeconomic burden on the world community.3 Many different serotypes of S. pneumoniae are capable of causing infection and all of them were at one time susceptible to penicillin. Resistance of S. pneumoniae to penicillin first began to develop in the 1960s and has been increasing rapidly among isolates in the last two decades.4, 5 Penicillin resistance rates especially increased throughout the 1990s. Penicillin-intermediate strains of S. pneumoniae increased from 3.8% in 1989 to 27.8% in 1997,6, 7 while penicillin-resistant strains of S. pneumoniae increased from 2.6% in 1992 to 21.5% in 2000.8, 9

Studies have shown that S. pneumoniae isolates resistant to penicillin are also resistant to macrolide antibiotics.10 Azithromycin and clarithromycin exhibited a MIC90 (minimum inhibitory concentration required to inhibit the growth of 90% of isolates) of >64μg/ml against penicillin-resistant strains, while in cases of penicillin-susceptible strains the MIC90s were 1μg/ml and 0.25μg/ml, respectively.10 The growing resistance of S. pneumoniae to penicillins and macrolides has led to the development of a new class of antibiotics called the ketolides. Telithromycin was the first approved antibiotic in this class. It shows good activity against penicillin-resistant strains of S. pneumoniae with a MIC90 <0.25μg/ml and has a low probability of inducing macrolide-type resistance.10

Pharmacodynamic studies indicate that the ratio of the area under the concentration–time curve of the free drug over 24hours to the MIC90 (fAUC0–24/MIC90) correlates best with the efficacy of azithromycin and telithromycin therapy.11, 12, 13 With reference to clarithromycin, studies have reported using fAUC0–24/MIC90, percent time above the MIC (%T > MIC), or the ratio of peak serum concentration of the antimicrobial agent to the MIC of the agent (Cmax/MIC) for predicting therapeutic efficacy.14, 15, 16, 17 In 2002, and after an extensive pharmacodynamic study, Tessier et al. suggested that fAUC0–24/MIC90 is the best parameter for predicting clarithromycin efficacy since it incorporates both duration and intensity of exposure.17 A target range of 25–35 for the fAUC0–24/MIC90 ratio was shown to be required for azithromycin and clarithromycin in order to achieve bacterial eradication and a positive clinical outcome in patients with S. pneumoniae-associated community-acquired pneumonia (CAP).18 For telithromycin, Lodise et al. indicated that an fAUC0–24/MIC90 ratio of 3.375 is adequate in predicting bacterial eradication in S. pneumoniae infections.19 This difference is suggested to be due to the ability of telithromycin to better penetrate and increase concentration at the infection site or differences in protein binding. However, when pharmacokinetic modeling was used in the same study to better account for telithromycin drug penetration, a target fAUC0–24/MIC90 ratio of about 27 for bacterial eradication was estimated.19

With the continuing rise in penicillin resistance among S. pneumoniae isolates, it is important to evaluate the ability of macrolides and ketolides to achieve a favorable clinical outcome against resistant strains in S. pneumoniae-related infections. The purpose of this study was to compare the pharmacodynamic target attainment potential of azithromycin, clarithromycin, and telithromycin at the standard doses to achieve fAUC0–24/MIC90 of ≥30, ≥40, and ≥100 in both serum and the epithelial lining fluid (ELF) against penicillin-susceptible (PS), penicillin-intermediate (PI), and penicillin-resistant (PR) S. pneumoniae in CAP patients.

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Materials and methods 

Pharmacokinetic simulations 

Published pharmacokinetic parameters of azithromycin, clarithromycin, and telithromycin were used to simulate the distribution of the free drug exposure measures (fAUC0–24) in both serum and ELF when given to CAP patients at doses of 500/250mg once daily, 500mg twice daily, and 800mg once daily, respectively.20

Pharmacodynamic simulations 

Susceptibility data of azithromycin, clarithromycin, and telithromycin against PS, PI, and PR S. pneumoniae were obtained from the Canadian Respiratory Organism Susceptibility Study (CROSS).21, 22 CROSS is a longitudinal national surveillance program that studies the incidence of antibiotic resistance in respiratory pathogens across all regions of Canada. The outcome linked parameter, fAUC0–24/MIC90, of the tested drugs was estimated by dividing the simulated fAUC0–24 values by the MIC90 values obtained from the CROSS study.

Monte Carlo simulation analysis 

A Monte Carlo simulation of a 10000 patient population was performed to determine the percentage of patients achieving an fAUC0–24/MIC90 ratio of ≥30, ≥40, and ≥100 in both serum and ELF after the previously described azithromycin, clarithromycin, and telithromycin dosing regimens and evaluated against PS, PI, and PR S. pneumoniae. Monte Carlo simulations were performed using Professional Crystal Ball 2000 program (Decisioneering UK Ltd, London, UK).23, 24, 25 Using Monte Carlo simulation allowed for complete accountability of the MIC distribution of S. pneumoniae isolates as well as the variability in drug exposure among CAP patients.

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Results 

The probability of attainment of the fAUC0–24/MIC90 target ratios for azithromycin, clarithromycin, and telithromycin against PS, PI, and PR S. pneumoniae are shown in Table 1 and Figure 1, Figure 2.

Table 1. Probability of target attainment (PTA, %) of fAUC0–24/MIC90 ratios for azithromycin, clarithromycin, and telithromycin at standard therapeutic doses in serum and ELF of CAP patients with penicillin-susceptible (PS), penicillin-intermediate (PI), and penicillin-resistant (PR) Streptococcus pneumoniae.
PTA in serum (%)PTA in ELF (%)
PSPIPRPSPIPR
Drug/dose304010030401003040100304010030401003040100
Azithromycin 500/250mg, once daily81.481.369.950.240.60.036.926.80.082.381.98053.052.449.438.738.237.2
Clarithromycin 500mg, twice daily91.389.284.774.669.361.260.756.046.899.999.993.983.083.080.372.372.370.5
Telithromycin 800mg, once daily99.098.696.095.494.287.989.184.273.910010099.899.899.899.199.899.898.8

fAUC0–24, free drug area under the concentration–time curve over 24hours; MIC90, minimum inhibitory concentration required to inhibit the growth of 90% of isolates; ELF, epithelial lining fluid; CAP, community-acquired pneumonia.

  • View full-size image.
  • Figure 1. 

    Probability of attainment of the fAUC0–24/MIC90 target of 30 for azithromycin, clarithromycin, and telithromycin in the serum of community-acquired pneumonia patients with penicillin-susceptible (PS), penicillin-intermediate (PI), and penicillin-resistant (PR) Streptococcus pneumoniae.

  • View full-size image.
  • Figure 2. 

    Probability of attainment of the fAUC0–24/MIC90 target of 30 for azithromycin, clarithromycin, and telithromycin in the epithelial lining fluid of community-acquired pneumonia patients with penicillin-susceptible (PS), penicillin-intermediate (PI), and penicillin-resistant (PR) Streptococcus pneumoniae.

Penicillin-susceptible S. pneumoniae 

For azithromycin 500/250mg once daily, the probability of achieving an fAUC0–24/MIC90 ratio of 30 in serum was 81.4% and in ELF was 82.3%, but it decreased to be 69.9% in serum and 80% in ELF when the target value was set to 100. With reference to clarithromycin 500mg twice daily, the probability of achieving a target value of 30 in serum was 91.3% and in ELF was 99.9%, and at a target value of 100, it was 84.7% in serum and 93.9% in ELF. Telithromycin use of 800mg once daily had a probability of achieving an fAUC0–24/MIC90 of 30 in 99% and 100 in 96% in serum, and an fAUC0–24/MIC90 of 30 in 100% and 100 in 99.8% in ELF.

Penicillin-intermediate S. pneumoniae 

Azithromycin 500/250mg once daily had a probability of 50.2% and 0.0% in serum and 53.0% and 49.4% in ELF for achieving the target values of 30 and 100, respectively. Clarithromycin use at 500mg twice daily yielded a probability of 74.6% and 61.2% in serum and 83.0% and 80.3% in ELF at the target values of 30 and 100, respectively. Telithromycin use of 800mg once daily had a probability of 95.4% and 87.9% in serum and 99.8% and 99.1% in ELF at fAUC0–24/MIC90 of 30 and 100, respectively.

Penicillin-resistant S. pneumoniae 

Use of azithromycin 500/250mg once daily in the Monte Carlo simulation had a probability of 36.9% and 0.0% in serum and 38.7% and 37.2% in ELF for achieving fAUC0–24/MIC90 of 30 and 100, respectively. Clarithromycin use of 500mg twice daily yielded a probability of 60.7% and 46.8% in serum and 72.3% and 70.5% in ELF at the target values of 30 and 100, respectively. Telithromycin use of 800mg once daily had a probability of 89.1% and 73.9% in serum and 99.8% and 98.8% in ELF at fAUC0–24/MIC90 of 30 and 100, respectively.

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Discussion 

Studies have shown that bacterial eradication can be predicted by the relationship between the pathogen's MIC and drug exposure.26, 27 Pharmacodynamic studies indicate that the fAUC0–24/MIC90 ratio correlates best with predicting efficacy of azithromycin, clarithromycin, and telithromycin therapy.11, 12, 13, 17 Pharmacodynamic study data for azithromycin and clarithromycin has shown an fAUC0–24/MIC90 ratio of 25–35 to be necessary to predict bacterial eradication and a positive clinical outcome in patients with S. pneumoniae-associated CAP.18 For telithromycin, an fAUC0–24/MIC90 ratio of 27 was found to be adequate in predicting bacterial eradication in S. pneumoniae infections.19

When simulating the pharmacodynamics of these agents in serum and ELF of CAP patients with PI S. pneumoniae, our data showed variability in the probability of target attainment (PTA) between these agents (Table 1). The Monte Carlo simulation data show that azithromycin can only reach the suggested fAUC0–24/MIC90 ratio of 30 in 50.2% of patients. Using clarithromycin increases the probability of attaining the fAUC0–24/MIC90 ratio of 30 to 74.6% of patients. Simulating administration of the ketolide telithromycin increases the probability of attaining the fAUC0–24/MIC90 ratio of 30 against PI S. pneumoniae to 95.4%.

In the pharmacodynamic simulations of these agents in serum and ELF of CAP patients with PR S. pneumoniae, our data indicate an even greater difference in the PTA than with the PI strains (Table 1). Azithromycin Monte Carlo simulation data predict only a 36.9% chance of achieving the fAUC0–24/MIC90 ratio of 30 to produce bacterial eradication, and clarithromycin treatment only has a probability of target attainment of 60.7% in the serum of CAP patients. In contrast, according to our data, the newer ketolide telithromycin maintains a high probability of reaching the fAUC0–24/MIC90 ratio of 30 in serum and ELF at 89.1% of CAP patients with PR strains.

Based on these findings we conclude that all three of these agents are adequate in producing a high probability of achieving a favorable clinical outcome at normal therapeutic doses in serum and ELF of CAP patients with PS strains of S. pneumoniae. Clarithromycin results in better pharmacodynamic target attainment than azithromycin, but both of these agents exhibit a decreased probability of achieving the fAUC0–24/MIC90 ratio of 30, which is predictive of bacterial eradication, as S. pneumoniae penicillin resistance increases.

The lower pharmacodynamic target attainment potential of azithromycin can lead to the selection of resistant mutants resulting in higher potential for the development of bacterial resistance. These findings are consistent with other clinical findings that showed higher probability for the selection of macrolide resistance when azithromycin was used vs. clarithromycin or erythromycin and hence, patients treated with azithromycin were more likely to have macrolide-resistant organisms.28 Telithromycin 800mg once daily maintains a high probability of pharmacodynamic target attainment against PR strains of S. pneumoniae, and thus from a bacteriological eradication perspective, other ketolides such as cethromycin need to be evaluated for potential target attainment against PR strains of S. pneumoniae. This study only evaluated the efficacy of azithromycin, clarithromycin, and telithromycin against S. pneumoniae possessing different levels of penicillin resistance. Further studies are required to evaluate the efficacy against S. pneumoniae strains that are resistant to other drug classes.

Conflict of interest: No conflict of interest to declare.

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References 

  1. Mandell LA. Epidemiology and etiology of community-acquired pneumonia. Infect Dis Clin North Am. 2004;18:761–776
  2. Sinus and Allergy Health Partnership. Antimicrobial treatment guidelines for acute bacterial rhinosinusitis. Otolaryngol Head Neck Surg. 2004;130(1 Suppl):S1–45Ann Intern Med 1991;114:731–4
  3. Fine MJ, Smith MA, Carson CA, Mutha SS, Sankey SS, Weissfeld LA, et al. Prognosis and outcomes of patients with community-acquired pneumonia. A meta-analysis. JAMA. 1996;275:134–141
  4. Tomasz A. New faces of an old pathogen: emergence and spread of multidrug-resistant Streptococcus pneumoniae. Am J Med. 1999;107:S55–S62
  5. Doern GV, Brueggemann A, Holley HP, Rauch AM. Antimicrobial resistance of Streptococcus pneumoniae recovered from outpatients in the United States during the winter months of 1994 to 1995: results of a 30-center national surveillance study. Antimicrob Agents Chemother. 1996;40:1208–1213
  6. Jorgensen JH, Doern GV, Maher LA, Howell AW, Redding JS. Antimicrobial resistance among respiratory isolates of Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae in the United States. Antimicrob Agents Chemother. 1990;34:2075–2080
  7. Doern GV, Pfaller MA, Kugler K, Freeman J, Jones RN. Prevalence of antimicrobial resistance among respiratory tract isolates of Streptococcus pneumoniae in North America: 1997 results from the SENTRY antimicrobial surveillance program. Clin Infect Dis. 1998;27:764–770
  8. Thornsberry C, Brown SD, Yee C, Bouchillon SK, Marler JK, Rich T. Increasing penicillin resistance in Streptococcus pneumoniae in the U. S. Infect Med. 1993;93(Suppl):15–24
  9. Doern GV, Heilmann KP, Huynh HK, Rhomberg PR, Coffman SL, Brueggemann AB. Antimicrobial resistance among clinical isolates of Streptococcus pneumoniae in the United States during 1999–2000, including a comparison of resistance rates since 1994–1995. Antimicrob Agents Chemother. 2001;45:1721–1729
  10. Pankuch GA, Visalli MA, Jacobs MR, Appelbaum PC. Susceptibilities of penicillin- and erythromycin-susceptible and resistant pneumococci to HMR 3647 (RU 66647), a new ketolide, compared with susceptibilities to 17 other agents. Antimicrob Agents Chemother. 1998;42:624–630
  11. Drusano GL, Craig WA. Relevance of pharmacokinetics and pharmacodynamics in the selection of antibiotics for respiratory tract infections. J Chemother. 1997;9(Suppl 3):38–44
  12. Tessier PR, Mattoes HM, Dandekar PK, Nightingale CH, Nicolau DP. Pharmacodynamic profile of telithromycin against macrolide- and fluoroquinolone-resistant Streptococcus pneumoniae in a neutropenic mouse thigh model. Antimicrob Agents Chemother. 2005;49:188–194
  13. Craig WA, Andes DR. Differences in the in vivo pharmacodynamics of telithromycin and azithromycin against Streptococcus pneumoniae [abstract 2141]. In: Programs and abstracts of the 40th Interscience Conference on Antimicrobial Agents and Chemotherapy. Toronto: American Society for Microbiology; 2000, p. 32.
  14. Carbon C. Pharmacodynamics of macrolides, azalides, and streptogramins: effect on extracellular pathogens. Clin Infect Dis. 1998;27:28–32
  15. Novelli A, Fallani S, Cassetta MI, Arrigucci S, Mazzei T. In vivo pharmacodynamic evaluation of clarithromycin in comparison to erythromycin. J Chemother. 2002;14:584–590
  16. Periti P, Mazzei T. Clarithromycin: pharmacokinetic and pharmacodynamic interrelationships and dosage regimen. J Chemother. 1999;11:11–27
  17. Tessier PR, Kim MK, Zhou W, Xuan D, Li C, Ye M, et al. Pharmacodynamic assessment of clarithromycin in a murine model of pneumococcal pneumoniae. Antimicrob Agents Chemother. 2002;46:1425–1434
  18. Sinus and Allergy Health Partnership. Antimicrobial treatment guidelines for acute bacterial rhinosinusitis. Executive Summary. Otolaryngol Head Neck Surg. 2004;130(1 Suppl):1–45
  19. Lodise TP, Preston S, Bhargava V, Bryskier A, Nusrat R, Chapel S, et al. Pharmacodynamics of an 800mg dose of telithromycin in patients with community-acquired pneumonia caused by extracellular pathogens. Diagn Microbiol Infect Dis. 2005;52:45–52
  20. Zhanel GG, Dueck M, Hoban DJ, Vercaigne LM, Embil JM, Gin AS, et al. Review of macrolides and ketolides: focus on respiratory tract infections. Drugs. 2001;61:443–498
  21. Zhanel GG, Palatnick L, Nichol K, Bellyou T, Low DE, Hoban DJ. Antimicrobial resistance in respiratory tract Streptococcus pneumoniae isolates: results of the Canadian Respiratory Organism Susceptibility Study, 1997 to 2002. Antimicrob Agents Chemother. 2003;47:1867–1874
  22. Zhanel GG, Karlowsky JA, Palatnick L, Vercaigne L, Low DE The Canadian Respiratory Infection Study Group. Prevalence of antimicrobial resistance in respiratory tract isolates of Streptococcus pneumoniae: results of a Canadian national surveillance study. Antimicrob Agents Chemother. 1999;43:2504–2509
  23. Hammersley JM, Handscomb DC. Monte Carlo simulation. In: Monte Carlo methods. London: Methuen and Co. Ltd; 1964;
  24. Thompson KM, Burmaster DE, Crouch EA. Monte Carlo techniques for quantitative uncertainty analysis in public health risk assessments. Risk Anal. 1992;12:53–63
  25. Burmaster DE, Anderson PD. Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessments. Risk Anal. 1994;14:477–481
  26. Zhanel GG, DeCorby M, Noreddin A, Mendoza C, Cumming A, Nichol K, et al. Pharmacodynamic activity of azithromycin against macrolide-susceptible and -resistant Streptococcus pneumoniae simulating clinically achievable free serum, epithelial lining fluid and middle ear fluid concentrations. J Antimicrob Chemother. 2003;52:83–88
  27. Zhanel GG, Johanson C, Hisanaga T, Mendoza C, Laing N, Noreddin A, et al. Pharmacodynamic activity of telithromycin against macrolide-susceptible and macrolide-resistant Streptococcus pneumoniae simulating clinically achievable free serum and epithelial lining fluid concentrations. J Antimicrob Chemother. 2004;54:1072–1077
  28. Vanderkooi OG, Low DE, Green K, Powis JE, McGeer A. Predicting antimicrobial resistance in invasive pneumococcal infections. Clin Infect Dis. 2005;40:1288–1297

 This study was presented at the International Society of Chemotherapy Third International Conference on Community Acquired Pneumonia (ISC-CAP), April 14–16, 2007, Montreal, Quebec, Canada.

PII: S1201-9712(08)01540-3

doi:10.1016/j.ijid.2008.08.016

International Journal of Infectious Diseases
Volume 13, Issue 4 , Pages 483-487, July 2009