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1.
CPT Pharmacometrics Syst Pharmacol ; 10(12): 1525-1537, 2021 12.
Artículo en Inglés | MEDLINE | ID: mdl-34811968

RESUMEN

Polymyxin B (PMB) has reemerged as a last-line therapy for infections caused by multidrug-resistant gram-negative pathogens, but dosing is challenging because of its narrow therapeutic window and pharmacokinetic (PK) variability. Population PK (POPPK) models based on suitably powered clinical studies with appropriate sampling strategies that take variability into consideration can inform PMB dosing to maximize efficacy and minimize toxicity and resistance. Here we reviewed published PMB POPPK models and evaluated them using an external validation data set (EVD) of patients who are critically ill and enrolled in an ongoing clinical study to assess their utility. Seven published POPPK models were employed using the reported model equations, parameter values, covariate relationships, interpatient variability, parameter covariance, and unexplained residual variability in NONMEM (Version 7.4.3). The predictive ability of the models was assessed using prediction-based and simulation-based diagnostics. Patient characteristics and treatment information were comparable across studies and with the EVD (n = 40), but the sampling strategy was a main source of PK variability across studies. All models visually and statistically underpredicted EVD plasma concentrations, but the two-compartment models more accurately described the external data set. As current POPPK models were inadequately predictive of the EVD, creation of a new POPPK model based on an appropriately powered clinical study with an informed PK sampling strategy would be expected to improve characterization of PMB PK and identify covariates to explain interpatient variability. Such a model would support model-informed precision dosing frameworks, which are urgently needed to improve PMB treatment efficacy, limit resistance, and reduce toxicity in patients who are critically ill.


Asunto(s)
Antibacterianos/farmacocinética , Enfermedad Crítica , Polimixina B/farmacocinética , APACHE , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Simulación por Computador , Femenino , Humanos , Masculino , Persona de Mediana Edad , Modelos Biológicos , Método de Montecarlo , Adulto Joven
3.
Clin Infect Dis ; 57(4): 524-31, 2013 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-23697744

RESUMEN

BACKGROUND: Polymyxin B is a last-line therapy for multidrug-resistant gram-negative bacteria. There is a dearth of pharmacokinetic data to guide dosing in critically ill patients. METHODS: Twenty-four critically ill patients were enrolled and blood/urine samples were collected over a dosing interval at steady state. Polymyxin B concentrations were measured by liquid chromatography-tandem mass spectrometry. Population pharmacokinetic analysis and Monte Carlo simulations were conducted. RESULTS: Twenty-four patients aged 21-87 years received intravenous polymyxin B (0.45-3.38 mg/kg/day). Two patients were on continuous hemodialysis, and creatinine clearance in the other patients was 10-143 mL/min. Even with very diverse demographics, the total body clearance of polymyxin B when scaled by total body weight (population mean, 0.0276 L/hour/kg) showed remarkably low interindividual variability (32.4% coefficient of variation). Polymyxin B was predominantly nonrenally cleared with median urinary recovery of 4.04%. Polymyxin B total body clearance did not show any relationship with creatinine clearance (r(2) = 0.008), APACHE II score, or age. Median unbound fraction in plasma was 0.42. Monte Carlo simulations revealed the importance of initiating therapeutic regimens with a loading dose. CONCLUSIONS: Our study showed that doses of intravenous polymyxin B are best scaled by total body weight. Importantly, dosage selection of this drug should not be based on renal function.


Asunto(s)
Antibacterianos/administración & dosificación , Antibacterianos/farmacocinética , Polimixina B/administración & dosificación , Polimixina B/farmacocinética , Administración Intravenosa , Adulto , Anciano , Anciano de 80 o más Años , Antibacterianos/sangre , Antibacterianos/orina , Análisis Químico de la Sangre , Peso Corporal , Cromatografía Liquida , Enfermedad Crítica , Femenino , Humanos , Masculino , Persona de Mediana Edad , Polimixina B/sangre , Polimixina B/orina , Espectrometría de Masas en Tándem , Orina/química , Adulto Joven
4.
J Antimicrob Chemother ; 68(3): 674-7, 2013 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-23179561

RESUMEN

OBJECTIVES: To evaluate the pharmacokinetics of polymyxin B in patients on continuous venovenous haemodialysis (CVVHD) after intravenous administration of unadjusted dosage regimens. PATIENTS AND METHODS: Two critically ill patients had eight blood samples collected during a 12 h interval on days 8 and 10 of polymyxin B therapy. Dialysate was collected every hour during the 12 h dosing interval. Polymyxin B binding in plasma was determined by rapid equilibrium dialysis. Concentrations of polymyxin B in plasma and dialysate samples were quantified using a validated ultra-performance liquid chromatography-tandem mass spectrometry assay. RESULTS: Respective maximum plasma concentrations in patients 1 and 2 were 8.62 and 4.38 mg/L; total body clearances (scaled linearly by body weight) were 0.043 and 0.027 L/h/kg, respectively, of which 12.2% and 5.62% were dialysis clearance, respectively. The corresponding volumes of distribution of polymyxin B at steady state were 0.50 and 0.34 L/kg, respectively, and protein binding in pooled plasma samples was 74.1% and 48.8%, respectively. CONCLUSIONS: Our findings indicate that the recommended polymyxin B doses should not be reduced for patients on CVVHD.


Asunto(s)
Antibacterianos/administración & dosificación , Antibacterianos/farmacocinética , Polimixina B/administración & dosificación , Polimixina B/farmacocinética , Diálisis Renal/métodos , Adulto , Cromatografía Liquida , Enfermedad Crítica , Femenino , Humanos , Masculino , Espectrometría de Masas , Persona de Mediana Edad , Plasma/química
5.
Infect Control Hosp Epidemiol ; 33(6): 627-30, 2012 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-22561721
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