Evaluating the Relationship between Vancomycin Trough Concentration and 24-Hour Area under the Concentration-Time Curve in Neonates.

Bacterial sepsis is a major cause of morbidity and mortality in neonates, especially those involving methicillin-resistant Staphylococcus aureus (MRSA). Guidelines by the Infectious Diseases Society of America recommend the vancomycin 24-h area under the concentration-time curve to MIC ratio (AUC24/MIC) of >400 as the best predictor of successful treatment against MRSA infections when the MIC is ≤1 mg/liter. The relationship between steady-state vancomycin trough concentrations and AUC24 values (mg·h/liter) has not been studied in an Asian neonatal population. We conducted a retrospective chart review in Singapore hospitals and collected patient characteristics and therapeutic drug monitoring data from neonates on vancomycin therapy over a 5-year period. A one-compartment population pharmacokinetic model was built from the collected data, internally validated, and then used to assess the relationship between steady-state trough concentrations and AUC24 A Monte Carlo simulation sensitivity analysis was also conducted. A total of 76 neonates with 429 vancomycin concentrations were included for analysis. Median (interquartile range) was 30 weeks (28 to 36 weeks) for postmenstrual age (PMA) and 1,043 g (811 to 1,919 g) for weight at the initiation of treatment. Vancomycin clearance was predicted by weight, PMA, and serum creatinine. For MRSA isolates with a vancomycin MIC of ≤1, our major finding was that the minimum steady-state trough concentration range predictive of achieving an AUC24/MIC of >400 was 8 to 8.9 mg/liter. Steady-state troughs within 15 to 20 mg/liter are unlikely to be necessary to achieve an AUC24/MIC of >400, whereas troughs within 10 to 14.9 mg/liter may be more appropriate.

External Validation of a Vancomycin Population Pharmacokinetic Model and Developing a New Dosage Regimen in Neonates.

BACKGROUND AND OBJECTIVE: Vancomycin is the drug of choice in the treatment of MRSA infections. In a published vancomycin population pharmacokinetic study on neonates in Singapore healthcare institutions, it was found that vancomycin clearance was predicted by weight, postmenstrual age, and serum creatinine. The aim of this study was to externally validate the vancomycin population pharmacokinetic model to develop a new dosage regimen in neonates, and to compare this regimen with the existing institutional and NeoFax® dosage regimens. METHODS: A retrospective chart review of neonates who received vancomycin therapy and therapeutic drug monitoring was conducted. The median prediction error percentage was calculated to assess bias, while the median absolute prediction error percentage and the root mean squared error percentage were calculated to assess precision. The new dosage regimen was developed using Monte Carlo simulation. RESULTS: A total of 20 neonates were included in the external validation dataset. Eighteen of them were premature, with a median gestational age of 27.7 (25.9-31.5) weeks and postmenstrual age of 30.5 (27.3-34.3) weeks at the point of vancomycin initiation. No apparent systematic bias was found in the predictions of the model. The external validation performed in the current study found the model to be generally unbiased. Our new vancomycin dosage regimen was able to achieve target trough concentrations and area under the curve (AUC24) at a greater proportion as compared to existing institutional and NeoFax® dosage regimens. CONCLUSION: The pharmacokinetic model built in the previous study can be used to conduct reliable population simulations of our Asian neonatal population in Singapore. The new dosage regimen was able to achieve target trough concentrations and AUC24 better than existing institutional and NeoFax® dosage regimens.

Patient characterization and predictors of aspirin desensitization response.

BACKGROUND: Hypersensitivity to nonsteroidal anti-inflammatory drugs (NSAIDs) may limit the use of aspirin in patients with cardiovascular diseases. Aspirin desensitization, which is a resource-intensive process, can offer such patients access to aspirin through the induction of temporary tolerance to aspirin. However, there is limited information on aspirin desensitization response in patients undergoing aspirin desensitization for cardiac indications in Asia. OBJECTIVE: To characterize patients who have undergone aspirin desensitization, evaluate their responses to the procedure, and identify risk factor(s) associated with failure of aspirin desensitization. METHODS: We conducted a retrospective review of medical records of patients who underwent aspirin desensitization in Singapore General Hospital between 1 June 2014 and 31 October 2017. Chi-square or Fisher exact test were used to analyze categorical data while independent samples t test or Wilcoxon rank-sum test were used for continuous data where appropriate. Multivariate logistic regression was used to identify predictors of aspirin desensitization failure. RESULTS: All 214 patients in our study had cardiovascular indications for aspirin, with angioedema being the most common type of index reaction experienced with NSAIDs (n = 104, 48.6%). One hundred sixty-five patients (77.1%) achieved successful aspirin desensitization. In the selected sample analysis of patients with true NSAID hypersensitivity (n = 163), an index reaction of angioedema to NSAIDs was found to be significantly associated with a higher risk of failing aspirin desensitization (odds ratio, 7.21; 95% confidence interval, 1.94-26.71). CONCLUSION: Majority of the patients who underwent aspirin desensitization in our institution were able to achieve tolerance to aspirin. An index reaction of angioedema to NSAIDs was identified as a risk factor for aspirin desensitization failure. This information can aid in the risk stratification of patients undergoing aspirin desensitization and ensure efficient resource allocation for this procedure.