A Bayesian method for monitoring vancomycin concentrations and adjusting regimens in patients with unstable renal function by using a two-compartment population model was evaluated with a personal computer. The population model was derived from data from 12 cardiac outpatients who received single doses of vancomycin. The performance of the method was then tested in 27 acutely ill patients who received multiple doses of vancomycin. Significant renal impairment was observed in 15 patients. Renal function changed in 15 patients. The vancomycin concentrations in the patients with changing renal function were not at steady state during the observation times. Two concentrations in serum (peak and then trough, or trough and then peak) were fitted along with the population model to individualize the parameter values for each patient. All the subsequent concentrations in serum for each patient were then predicted by using the parameter values for each patient. Future concentrations of 118 serum samples were predicted. The mean absolute prediction error was 3.6 ± 4.5 ,Lg/ml, and the mean prediction error was -0.7 ± 5.3 ,Ig/ml. These results confirm that a two-compartment pharmacokinetic model can be sufficiently individualized with the knowledge of just two concentrations of drug in patient serum; it is possible to predict closely subsequent concentrations in serum, and dosing regimens for individual patients can be well adjusted to achieve the chosen therapeutic goals.Three favorable characteristics of vancomycin are the bactericidal effect, the sustained concentrations in serum achieved compared with those achieved with beta-lactam antibiotics, and the rare development of bacterial resistance (4). These traits, along with the current rise in methicillinresistant staphylococcal infections and the increasing use of prosthetic devices requiring antibiotic prophylaxis (1), have stimulated new interest in vancomycin use. In addition, the availability of more precise methods of measuring vancomycin concentrations in serum and the availability of sophisticated computer software for analyzing drug concentrationin-serum data (7, 14) now make it possible to individualize vancomycin dosage regimens that are more clinically effective, safe, and cost-effective. These factors have led to a growing demand to monitor vancomycin therapy and to interpret the meaning of its concentrations in serum.The (2,4,11,17,18,21). The controversy stems from the fact that the concentration-time profile of vancomycin in serum is not described by a monoexponential decay, as reflected by the one-compartment pharmacokinetic model used in many earlier clinical studies (3,10,18). At least two compartments are required to describe vancomycin pharmacokinetics adequately: a central serum compartment and a peripheral compartment (nonserum) (5,13,16
The various components required for individualising clinical drug dosage regimens are reviewed, including a study of 3 types of fitting procedures, 2 types of gentamicin pharmacokinetic model and the utility of D-optimal times for obtaining serum gentamicin concentrations. The combination of the current Bayesian fitting procedure, the kslope pharmacokinetic model [in which the elimination rate constant (kel) can change from dose to dose with changing creatinine clearance] and the explicit measurement of the assay error pattern yielded predictions of future serum gentamicin concentrations which were (a) slightly better than those found using weighted nonlinear least squares; (b) somewhat better than those found with Bayesian fitting and a fixed-kel model; (c) better than those found using the traditional linear regression fitting procedure and a fixed kel model. D-Optimally timed pairs of concentrations also predicted future concentrations at least as well, and more cost effectively.
This study evaluated the relation between plasma cyclic guanosine monophosphate (cGMP) and hemodynamic and neurohormonal parameters in patients with chronic congestive heart failure and assessed the effect of organic nitrate on plasma cGMP levels. Plasma cGMP was fourfold higher in 18 patients with congestive heart failure compared with 15 control subjects (16.7 +/- 9.7 versus 4.0 +/- 1.0 pmol/ml; p < 0.0001) but did not correlate with plasma levels of catecholamines, renin, atrial natriuretic peptide, or with baseline hemodynamic values. The administration of a hemodynamically effective dose of oral isosorbide dinitrate (40 mg) resulted in a transient reduction in plasma cGMP from 16.7 +/- 9.7 pmol/ml at baseline to 13.0 +/- 6.6 pmol/ml at 1 hour (p < 0.05). This change was associated with small and statistically insignificant changes in neurohormonal values and had no relation to any of the hemodynamic changes. We concluded that (1) elevated plasma cGMP in congestive heart failure does not correlate with other neurohormonal or hemodynamic parameters and may be an independent parameter of heart failure, (2) in contrast to previously documented nitrate-mediated increases in intracellular cGMP, nitrate therapy results in a reduction in plasma cGMP, and (3) changes in plasma cGMP cannot serve as a surrogate measurement of changes in intracellular cGMP.
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