121 resultados para Traffic sampling
Resumo:
OBJECTIVES: To characterize the population pharmacokinetics of metronidazole in preterm neonates.
PATIENTS AND METHODS: Data were collected prospectively from 32 preterm neonates who received intravenous metronidazole for the treatment of or prophylaxis against necrotizing enterocolitis. Dried
blood spots (n 203) on ?lter paper were analyzed by highperformance liquid chromatography, and the data were subjected to pharmacokinetic analysis performed by using nonlinear mixed-effect modeling.
RESULTS: A 1-compartment model best described the data. Signi?cant covariates were weight (WT) and postmenstrual age (PMA). The ?nal population models for metronidazole clearance (CL) and volume of distribution (V) were: CL 0.0247 (WT/1.00)0.75 (1 0.107 [PMA 30]) and V 0.726 WT, where CL is in liters per hour, WT is in kilograms, PMA is in weeks, and V is in liters. This model predicts that the half-life of metronidazole decreases rapidly from 40 hours at 25 weeks’ PMA to 19 hours at 32 weeks’ PMA, after which it starts to plateau. This decrease in half-life is the result of a 5-fold increase in CL compared with only a 2.5-fold increase in V during the same period.
CONCLUSIONS: Currently, there are no speci?c dose recommendations for metronidazole in preterm neonates. However, a dosing scheme for preterm neonates that takes into consideration both the weight and PMA has been suggested and should avoid administration of doses that are excessive or more frequent than necessary.
Resumo:
In this paper, we discuss and evaluate two proposed metro wavelength division multiplexing (WDM) ring network architectures for variable-length packet traffic in storage area networks (SANs) settings. The paper begins with a brief review of the relevant architectures and protocols in the literature. Subsequently, the network architectures along with their medium access control (MAC) protocols are described. Performance of the two network architectures is studied by means of computer simulation in terms of their queuing delay, node throughput and proportion of packets dropped. The network performance is evaluated under symmetric and asymmetric traffic scenarios with Poisson and self-similar traffic. (C) 2011 Elsevier Inc. All rights reserved.