Literature DB >> 1416822

Practical computer-assisted dosing for aminoglycoside antibiotics.

L A Lenert1, H Klostermann, R W Coleman, J Lurie, T F Blaschke.   

Abstract

In principle, computer-assisted individualization of antibiotic dosing offers the prospect of better patient outcomes through improved dosing precision. In practice, however, the expertise in pharmacokinetics required to operate these programs has precluded their use by most physicians and pharmacists. We developed a computer program for individualization of dosing of aminoglycoside antibiotics under conditions in which access to experts in pharmacokinetics is impractical. The program is accurate, yet it requires less effort for data collection than previous drug dosing programs did. The program generates advice on a broad spectrum of topics, including dose adjustment, interpretation of measured drug concentrations in blood, and recommendations for monitoring drug concentrations. We tested its performance by prospectively comparing it with a clinical pharmacokinetic consultation service in a series of 78 consecutive patients. There were no differences in accuracy or bias in the prediction of drug concentrations. The rate of agreement between the program's dosing recommendations and those of the consultation service was 67 percent. This rate of agreement is typical of interexpert variation. In a stratified set of 24 of the 41 instances with significant disagreement regarding the recommended dose, experts ranked the program's recommendations as highly as those of the consultation service (95% confidence interval for difference in rank, -0.30 less than chi less than 0.47). The results suggest that expert systems can be coupled with pharmacokinetic dosing programs to deliver high-quality clinical recommendations for administration of antimicrobial agents.

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Year:  1992        PMID: 1416822      PMCID: PMC190323          DOI: 10.1128/AAC.36.6.1230

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  29 in total

1.  Determination of serum gentamicin sulfate levels: ordering patterns and use as a guide to therapy.

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Journal:  Lancet       Date:  1971-05-08       Impact factor: 79.321

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Authors:  C C Peck; L B Sheiner; C M Martin; D T Combs; K L Melmon
Journal:  N Engl J Med       Date:  1973-08-30       Impact factor: 91.245

5.  A Bayesian feedback method of aminoglycoside dosing.

Authors:  M E Burton; D C Brater; P S Chen; R B Day; P J Huber; M R Vasko
Journal:  Clin Pharmacol Ther       Date:  1985-03       Impact factor: 6.875

6.  Initial aminoglycoside levels in the critically ill.

Authors:  W R Summer; J R Michael; J J Lipsky
Journal:  Crit Care Med       Date:  1983-12       Impact factor: 7.598

7.  Antimicrobial selection by a computer. A blinded evaluation by infectious diseases experts.

Authors:  V L Yu; L M Fagan; S M Wraith; W J Clancey; A C Scott; J Hannigan; R L Blum; B G Buchanan; S N Cohen
Journal:  JAMA       Date:  1979-09-21       Impact factor: 56.272

8.  Individualizing gentamicin dosage regimens in burn patients with gram-negative septicemia: a cost--benefit analysis.

Authors:  J L Bootman; A I Wertheimer; D Zaske; C Rowland
Journal:  J Pharm Sci       Date:  1979-03       Impact factor: 3.534

9.  Capturing clinical expertise. A computer program that considers clinical responses to digitalis.

Authors:  G A Gorry; H Silverman; S G Pauker
Journal:  Am J Med       Date:  1978-03       Impact factor: 4.965

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Authors:  K J Sveska; B D Roffe; D K Solomon; R P Hoffmann
Journal:  Am J Hosp Pharm       Date:  1985-11
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  6 in total

Review 1.  Monitoring for adverse drug reactions.

Authors:  J J Coleman; R E Ferner; S J W Evans
Journal:  Br J Clin Pharmacol       Date:  2006-04       Impact factor: 4.335

Review 2.  Benchmarking therapeutic drug monitoring software: a review of available computer tools.

Authors:  Aline Fuchs; Chantal Csajka; Yann Thoma; Thierry Buclin; Nicolas Widmer
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

3.  Effects of clinical decision support on initial dosing and monitoring of tobramycin and amikacin.

Authors:  Zachary L Cox; Cori L Nelsen; Lemuel R Waitman; Jacob A McCoy; Josh F Peterson
Journal:  Am J Health Syst Pharm       Date:  2011-04-01       Impact factor: 2.637

Review 4.  Pharmacokinetics of drugs used in critically ill adults.

Authors:  B M Power; A M Forbes; P V van Heerden; K F Ilett
Journal:  Clin Pharmacokinet       Date:  1998-01       Impact factor: 6.447

5.  Population pharmacokinetics of amikacin in critically ill patients.

Authors:  F Bressolle; A Gouby; J M Martinez; P Joubert; G Saissi; R Guillaud; R Gomeni
Journal:  Antimicrob Agents Chemother       Date:  1996-07       Impact factor: 5.191

6.  A population approach to the forecasting of amikacin plasma and urinary levels using a prescribed dosage regimen.

Authors:  P Joubert; F Bressolle; A Gouby; P Y Douçot; G Saissi; R Gomeni
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1999 Jan-Mar       Impact factor: 2.569

  6 in total

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