2000
DOI: 10.1345/aph.19104
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Bayesian Approach to Control of Amikacin Serum Concentrations in Critically Ill Patients with Sepsis

Abstract: Our results show that, in ICU patients treated with amikacin, it is relevant to consider covariates related to pathophysiologic status and therapeutic measures. Application of a Bayesian program allows improved control of the pharmacokinetic parameters in patients who exhibit rapidly changing physiologic conditions.

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Cited by 12 publications
(13 citation statements)
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“…This work presents the results of a popPK analysis of amikacin in a population of adults diagnosed with CF. Although the amikacin popPK have been extensively studied in both general pediatric (9-16) and adult (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) populations, our work extends the knowledge to include adult patients with CF specifically. The PK of several antibacterial agents in individuals with CF differ from those in healthy volunteers and other patients (33,34).…”
Section: Discussionmentioning
confidence: 99%
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“…This work presents the results of a popPK analysis of amikacin in a population of adults diagnosed with CF. Although the amikacin popPK have been extensively studied in both general pediatric (9-16) and adult (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) populations, our work extends the knowledge to include adult patients with CF specifically. The PK of several antibacterial agents in individuals with CF differ from those in healthy volunteers and other patients (33,34).…”
Section: Discussionmentioning
confidence: 99%
“…Amikacin population pharmacokinetics (popPK) have been extensively studied in pediatric (9)(10)(11)(12)(13)(14)(15)(16) and adult (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) populations. However, the pharmacokinetics (PK) of aminoglycosides change with the disease being treated (30).…”
mentioning
confidence: 99%
“…However, when the same approach was used for the adaptive control of aminoglycoside therapy in other patient populations, predictive performance was similar. [7][8][9][10]15,21,31,32,37,38] Methods that rely on the estimation of Vd and CL would appear preferable in patients with variable pharmacokinetics, such as critically ill patients. However, methods based on the use of target AUC have been advocated since the increasing prevalence of once-daily aminoglycoside dosing.…”
Section: Discussionmentioning
confidence: 99%
“…The standard deviation was obtained from the residual error variances used by the Abbottbase software. [13] Vd (l) = 0.39 W (1 + 0.24 Sepsis) 0.23 NA CL (ml/min) = 0.93 CL CR b (1 + 0.22 Trauma) 0.28 3 [10] Vd (l) = 1.5 Apache II score 0.29 NA CL (ml/min) = 44.5 + 0.67 CL CR b -1.29 PEEP -8. 34 Cat 0.41 4 [21] Vd = 0.35 l/kg 0.32 0.15 CL (ml/min per kg) = 0.0417 + 0.815 CL CR b 0.25, 0.4 a Cat, use of catecholamines; CL, clearance; CL CR , creatinine clearance; CV, coefficient of variation; NA, not applicable; PEEP, positive end-expiratory pressure; Vd, volume of distribution; W, total body weight.…”
Section: Population Pharmacokinetic Modelsmentioning
confidence: 99%
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