Biomedical subjects

M Uaamnuichai

Publications and source records attributed to M Uaamnuichai.

3 recordsLinked to original sources

PubMed1989

Aminoglycoside dosing in pediatric patients.

We assessed the performance of a predictive algorithm for dosing aminoglycoside antibiotics in 75 pediatric patients and Bayesian feedback in 36. The absolute errors for peak and trough concentrations were 1.83 and 0.80 micrograms/ml, respectively, which seem clinically acceptable for most patients. However, the algorithm had significant negative bias for both peaks and troughs. Implementation of Bayesian feedback eliminated bias in a second set of concentrations and significantly decreased its magnitude for both peaks (p = 0.028) and troughs (p = 0.005). This method may allow more accurate dosing of aminoglycoside antibiotics in pediatric patients, though it would most likely be improved by better definition of population parameters and their variability.

Algorithms↗

PubMed1987

Effect of high-dose etodolac on renal function.

Previous studies from our laboratory have demonstrated transient effects on renal function by etodolac, 200 mg b.i.d. The current study assessed the effects of a larger dose of etodolac (500 mg b.i.d.) to explore the time course of its renal effects and to determine whether the transient effect would become more prolonged with a larger dose. We studied 10 normal subjects and nine patients with renal insufficiency, examining the effects of the first 500 mg dose of etodolac as well as 4 days of b.i.d. administration. In both groups, etodolac transiently decreased fractional excretions of sodium and chloride and urinary prostaglandin E2. In patients, etodolac also transiently decreased inulin and para-aminohippuric acid clearances and urinary 6-keto-prostaglandin F1 alpha. Chronic administration caused no changes in renal function in either group. In summary, in this relatively small group of patients, high-dose etodolac caused only transient, fully reversible effects on renal function, the cumulative effect of which was negligible.

6-Ketoprostaglandin F1 alpha↗

PubMed1987

Bayesian and least-squares methods for vancomycin dosing.

The authors assessed the performance of a Bayesian and a least squares method for predicting individual pharmacokinetic parameters for vancomycin. For clearance, the best performance of both methods was an absolute error of approximately 5%. This level of accuracy required 4 serum vancomycin concentrations with the least squares method but could be achieved with a peak and trough concentration with the Bayesian method. For volume of distribution, the best performance occurred with 3 or 4 levels with both methods and amounted to an error of about 15%. In conclusion, both methods of estimating vancomycin pharmacokinetics perform comparably, but the Bayesian method appears to require fewer data.

Bayes Theorem↗