Discrepancies in Electronic Medical Prescriptions Found in a Hospital Emergency Department: A Prospective Observational Study.

The medication in an electronic prescribing system (EPS) does not always match the patient's actual medication. This prospective study analyzes the discrepancies (any inconsistency) between medication prescribed using an EPS and the medication revised by the clinical pharmacist upon admission to the observation area of the emergency department (ED). Adult patients with multimorbidity and/or polypharmacy were included. The pharmacist used multiple sources to obtain the revised medication list, including patient/carer interviews. A total of 1654 discrepancies were identified among 1131 patients. Of these patients, 64.5% had ≥1 discrepancy. The most common types of discrepancy were differences in posology (43.6%), commission (34.7%), and omission (20.9%). Analgesics (11.1%), psycholeptics (10.0%), and diuretics (8.9%) were the most affected. Furthermore, 52.5% of discrepancies affected medication that was high-alert for patients with chronic illnesses and 42.0% of medication involved withdrawal syndromes. Discrepancies increased with the number of drugs (ρ = 0.44, p < 0.01) and there was a difference between non-polypharmacy patients, polypharmacy ones and those with extreme polypharmacy (p < 0.01). Those aged over 75 years had a higher number of prescribed medications and discrepancies occurred more frequently compared with younger patients. The number of discrepancies was larger in women than in men. The EPS medication record requires verification from additional sources, including patient and/or carer interviews.

Medication delivery errors in outpatients with percutaneous endoscopic gastrostomy: effect on tube feeding replacement.

Patients with enteral access usually receive oral drugs via feeding tubes and correct drug administration remains a challenge. The aim of this study was to identify common medication delivery errors (MDEs) in outpatients with percutaneous endoscopic gastrostomy (PEG) and evaluate their association with the need for tube replacement due to deterioration or clogging. A 2-year retrospective study that comprised adult outpatients with a placed/replaced PEG tube and whose electronic medical record included home medication was carried out. Treatment with medication that should not be crushed and administered through an enteral feeding tube was considered an MDE. We included 269 patients and 213 MDEs (20% of oral prescriptions) were detected in 159. Ninety-two percent of the medications associated with MDEs could be substituted by appropriate formulations. Tube replacement due to obstruction was needed in 85 patients. MDEs were associated with increased risk for tube replacement (OR 2.17; 95% CI 1.10-4.27). Omeprazole enteric-coated capsules were associated with the greatest risk (OR 2.24; 95% CI 1.01-4.93). PEG outpatients are highly exposed to MDEs, leading to a significant increase in the odds of tube replacement, mainly when treated with omeprazole. The use of appropriate alternative therapies would prevent unnecessary adverse events.

Physiologically-based pharmacokinetic modelling and dosing evaluation of gentamicin in neonates using PhysPK.

Each year, infections caused around the 25% of neonatal deaths. Early empirical treatments help to reduce this mortality, although optimized dosing regimens are still lacking. The aims were to develop and validate a gentamicin physiologically-based pharmacokinetic (PBPK) model and then potentially explore dosing regimens in neonates using pharmacokinetic and pharmacodynamic criteria. The PBPK model developed consisted of 2 flow-limited tissues: kidney and other tissues. It has been implemented on a new tool called PhysPK, which allows structure reusability and evolution as predictive engine in Model-Informed Precision Dosing (MIPD). Retrospective pharmacokinetic information based on serum levels data from 47 neonates with gestational age between 32 and 39 weeks and younger than one-week postnatal age were used for model validation. The minimal PBPK model developed adequately described the gentamicin serum concentration-time profile with an average fold error nearly 1. Extended interval gentamicin dosing regimens (6 mg/kg q36h and 6 mg/kg q48h for term and preterm neonates, respectively) showed efficacy higher than 99% with toxicity lower than 10% through Monte Carlo simulation evaluations. The gentamicin minimal PBPK model developed in PhysPK from literature information, and validated in preterm and term neonates, presents adequate predictive performance and could be useful for MIPD strategies in neonates.

Evaluation of Current Amikacin Dosing Recommendations and Development of an Interactive Nomogram: The Role of Albumin.

This study aimed to evaluate the potential efficacy and safety of the amikacin dosage proposed by the main guidelines and to develop an interactive nomogram, especially focused on the potential impact of albumin on initial dosage recommendation. The probability of target attainment (PTA) for each of the different dosing recommendations was calculated through stochastic simulations based on pharmacokinetic/pharmacodynamic (PKPD) criteria. Large efficacy and safety differences were observed for the evaluated amikacin dosing guidelines together with a significant impact of albumin concentrations on efficacy and safety. For all recommended dosages evaluated, efficacy and safety criteria of amikacin dosage proposed were not achieved simultaneously in most of the clinical scenarios evaluated. Furthermore, a significant impact of albumin was identified: The higher is the albumin, (i) the higher will be the PTA for maximum concentration/minimum inhibitory concentration (Cmax/MIC), (ii) the lower will be the PTA for the time period with drug concentration exceeding MIC (T>MIC) and (iii) the lower will be the PTA for toxicity (minimum concentration). Thus, accounting for albumin effect might be of interest for future amikacin dosing guidelines updates. In addition, AMKnom, an amikacin nomogram builder based on PKPD criteria, has been developed and is freely available to help evaluating dosing recommendations.

Compliance with antibiotic prophylaxis guidelines in caesarean delivery: a retrospective, drug utilization study (indication-prescription type) at an Ecuadorian hospital.

BACKGROUND: Preoperative antibiotic prophylaxis is essential for preventing surgical site infection (SSI). The aim of this study was to evaluate compliance with international and local recommendations in caesarean deliveries carried out at the Obstetrics and Gynaecology Service of the Ambato General Hospital, as well as any related health and economic consequences. METHODS: A retrospective indication-prescription drug utilization study was conducted using data from caesarean deliveries occurred in 2018. A clinical pharmacist assessed guidelines compliance based on the following criteria: administration of antibiotic prophylaxis, antibiotic selection, dose, time of administration and duration. The relationship between the frequency of SSI and other variables, including guideline compliance, was analysed. The cost associated with the antibiotic used was compared with the theoretical cost considering total compliance with recommendations. Descriptive statistics, Odds Ratio and Pearson Chi Square were used for data analysis by IBM SPSS Statistics version 25. RESULTS: The study included 814 patients with an average age of 30.87 ± 5.50 years old. Among the caesarean sections, 68.67% were emergency interventions; 3.44% lasted longer than four hours and in 0.25% of the deliveries blood loss was greater than 1.5 L. Only 69.90% of patients received preoperative antibiotic prophylaxis; however, 100% received postoperative antibiotic treatment despite disagreement with guideline recommendations (duration: 6.75 ± 1.39 days). The use of antibiotic prophylaxis was more frequent in scheduled than in emergency caesarean sections (OR = 2.79, P = 0.000). Nevertheless, the timing of administration, antibiotic selection and dose were more closely adhered to guideline recommendations. The incidence of surgical site infection was 1.35%, but tended to increase in patients who had not received preoperative antibiotic prophylaxis (OR = 1.33, P = 0.649). Also, a significant relationship was found between SSI and patient age (χ2 = 8.08, P = 0.036). The mean expenditure on antibiotics per patient was 5.7 times greater than that the cost derived from compliance with international recommendations. CONCLUSIONS: Surgical antibiotic prophylaxis compliance was far below guideline recommendations, especially with respect to implementation and duration. This not only poses a risk to patients but leads to unnecessary expenditure on medicines. Therefore, this justifies the need for educational interventions and the implementation of institutional protocols involving pharmacists.

Amikacin initial dosage in patients with hypoalbuminaemia: an interactive tool based on a population pharmacokinetic approach.

OBJECTIVES: To characterize amikacin population pharmacokinetics in patients with hypoalbuminaemia and to develop a model-based interactive application for amikacin initial dosage. METHODS: A population pharmacokinetic model was developed using a non-linear mixed-effects modelling approach (NONMEM) with amikacin concentration-time data collected from clinical practice (75% hypoalbuminaemic patients). Goodness-of-fit plots, minimum objective function value, prediction-corrected visual predictive check, bootstrapping, precision and bias of parameter estimates were used for model evaluation. An interactive model-based simulation tool was developed in R (Shiny and R Markdown). Cmax/MIC ratio, time above MIC and AUC/MIC were used for optimizing amikacin initial dose recommendation. Probabilities of reaching targets were calculated for the dosage proposed. RESULTS: A one-compartment model with first-order linear elimination best described the 873 amikacin plasma concentrations available from 294 subjects (model development and external validation groups). Estimated amikacin population pharmacokinetic parameters were CL (L/h) = 0.525 + 4.78 × (CKD-EPI/98) × (0.77 × vancomycin) and V (L) = 26.3 × (albumin/2.9)-0.51 × [1 + 0.006 × (weight - 70)], where CKD-EPI is calculated with the Chronic Kidney Disease Epidemiology Collaboration equation. AMKdose is a useful interactive model-based application for a priori optimization of amikacin dosage, using individual patient and microbiological information together with predefined pharmacokinetic/pharmacodynamic (PKPD) targets. CONCLUSIONS: Serum albumin, total bodyweight, estimated glomerular filtration rate (using the CKD-EPI equation) and co-medication with vancomycin showed a significant impact on amikacin pharmacokinetics. A powerful interactive initial dose-finding tool has been developed and is freely available online. AMKdose could be useful for guiding initial amikacin dose selection before any individual pharmacokinetic information is available.

A 3-year prospective study of a multidisciplinary early proactive therapeutic drug monitoring programme of infliximab treatments in inflammatory bowel disease.

AIMS: Therapeutic drug monitoring (TDM) of trough serum infliximab concentrations has been mainly used in case of loss of response in patients with inflammatory bowel disease (IBD). The aim of this study was to evaluate the effectiveness and safety of a multidisciplinary early proactive TDM (mep-TDM) programme for dose adjustment. METHODS: A 3-year prospective study was conducted based on a sample of 81 patients who started treatment and were subsequently subjected to mep-TDM with the first control at week 14. Data of a historical control group of 72 patients treated with infliximab and managed with empirical dosing were included. Effectiveness variables were treatment failure, IBD-related surgery and IBD-related hospitalization. Safety variables were serious infusion reactions (SIRs) and adverse reactions. Cox regression was used for survival analysis. RESULTS: In the mep-TDM study group, compared to the control group, there was a significant reduction in the risk of treatment failure (hazard ratio [HR]: 0.51; 95% confidence interval [CI]: 0.27-0.92; P = .037), IBD-related surgery (HR: 0.14; 95% CI: 0.03-0.65; P = .012) and hospitalization (HR: 0.38; 95% CI: 0.17-0.87; P = .022). SIRs were lower in the mep-TDM group (2.5% vs 10.4%; P < .050); the incidence of adverse reactions was similar (3.7% vs 3.9%; p > .999). CONCLUSION: This study found that compared to empirical dosing, mep-TDM is associated with improved efficacy and safety of infliximab therapy, reduced IBD-related hospitalization and surgery and incidence of SIRs, and increasing long-term durability of treatment effects.

Evaluation of renal function equations to predict amikacin clearance.

Objective: To evaluate the predictive performance of eight renal function equations to describe amikacin elimination in a large standard population with a wide range of age. Methods: Retrospective study of adult hospitalized patients treated with amikacin and monitored in the clinical pharmacokinetics laboratory of a pharmacy service. Renal function was calculated as Cockcroft-Gault with total, adjusted and ideal body weight, MDRD-4, CKD-EPI, rLM, BIS1, and FAS. One compartment model with first-order elimination, including interindividual variability on clearance and volume of distribution and combined residual error model was selected as a base structural model. A pharmaco-statistical analysis was performed following a non-linear mixed effects modeling approach (NONMEM 7.3 software). Results: 198 patients (61 years [18-93]) and 566 measured amikacin plasma concentrations were included. All the estimated glomerular filtration rate and creatinine clearance equations evaluated described properly the data. The linear relationship between clearance and glomerular filtration rate based on rLM showed a statistically significant improvement in the fit of the data. rLM must be evaluated carefully in renal failure for amikacin dose adjustment. Conclusions: Revised Lund-Malmö (rLM) and CKD-EPI showed the superior predictive performance of amikacin drug elimination comparing to all the alternative metrics evaluated.

Vancomycin Pharmacokinetics Throughout Life: Results from a Pooled Population Analysis and Evaluation of Current Dosing Recommendations.

BACKGROUND AND OBJECTIVES: Uncertainty exists regarding the optimal dosing regimen for vancomycin in different patient populations, leading to a plethora of subgroup-specific pharmacokinetic models and derived dosing regimens. We aimed to investigate whether a single model for vancomycin could be developed based on a broad dataset covering the extremes of patient characteristics. Furthermore, as a benchmark for current dosing recommendations, we evaluated and optimised the expected vancomycin exposure throughout life and for specific patient subgroups. METHODS: A pooled population-pharmacokinetic model was built in NONMEM based on data from 14 different studies in different patient populations. Steady-state exposure was simulated and compared across patient subgroups for two US Food and Drug Administration/European Medicines Agency-approved drug labels and optimised doses were derived. RESULTS: The final model uses postmenstrual age, weight and serum creatinine as covariates. A 35-year-old, 70-kg patient with a serum creatinine level of 0.83 mg dL-1 (73.4 µmol L-1) has a V1, V2, CL and Q2 of 42.9 L, 41.7 L, 4.10 L h-1 and 3.22 L h-1. Clearance matures with age, reaching 50% of the maximal value (5.31 L h-1 70 kg-1) at 46.4 weeks postmenstrual age then declines with age to 50% at 61.6 years. Current dosing guidelines failed to achieve satisfactory steady-state exposure across patient subgroups. After optimisation, increased doses for the Food and Drug Administration label achieve consistent target attainment with minimal (± 20%) risk of under- and over-dosing across patient subgroups. CONCLUSIONS: A population model was developed that is useful for further development of age and kidney function-stratified dosing regimens of vancomycin and for individualisation of treatment through therapeutic drug monitoring and Bayesian forecasting.

Pharmacokinetics and dosing requirements of digoxin in pregnant women treated for fetal supraventricular tachycardia.

BACKGROUND: The objective of this study was to characterize the pharmacokinetics (PK) of digoxin in pregnant women and its potential implications for drug dosing. METHODS: Serum digoxin concentrations (SDCs) obtained in pregnant women treated for fetal supraventricular tachycardia (SVT) was retrospectively collected. PK analysis was comparatively performed using a two-stage approach (PKS™) and a Population PK approach (NONMEM™). As clinical outcome the fetal heart rate was recorded. RESULTS: A total of 42 SDCs were obtained from 8 women in the 3rd trimester of pregnancy (mean age 33.0 years). The PK parameters estimated by both two-stage (volume of distribution (Vd) = 682.0 L, CV = 47.5%; serum clearance (CL) = 16.1 L/h, CV = 19%) and population approaches (Vd = 731.3 L, CV = 30.5%; CL = 18.7 L/h, CV = 17.8%) are very similar and show a clear trend of increasing drug disposition in the third trimester of pregnancy. An oral loading dose of 0.5 mg/8 h during 24 h followed by a maintenance regimen of 0.5 mg/12 h been recommended to start treatment. CONCLUSIONS: Despite the small population, these parameters could be used as a guide to calculate the initial dosage requirements in the third trimester of pregnancy for treating fetal SVT. In addition, maternal SDCs should be routinely monitored for dosage adjustment purposes.

A New Method for Individualized Digoxin Dosing in Elderly Patients.

BACKGROUND: Digoxin is a frequently prescribed drug in the elderly population. Estimated glomerular filtration rate is widely used to adjust dosages. The HUGE value is a tool for differentiating the presence or absence of chronic kidney disease in elderly patients. We aimed to investigate the usefulness of the HUGE value to predict the initial dose of digoxin in patients aged older than 70 years. METHODS: We reviewed retrospectively the medical records of patients aged older than 70 years with serum digoxin concentrations (SDCs) monitored over a 6-month period (63 patients). A linear regression relating the patient's SDC, maintenance dose of digoxin and the HUGE value was estimated to generate a dosage equation. This equation was validated retrospectively (33 patients) and prospectively (35 patients) in comparison with two existing methods based on creatinine clearance. RESULTS: An equation (HUGE_DIG) was generated to calculate the initial digoxin dose to reach a specific target SDC. Thus, to achieve a SDC of 0.8 ng/mL: Digoxin (mg/day) = 0.091 - 0.006 x HUGE. After retrospective validation, the calculated digoxin doses with this equation were administered in the prospective phase and we did not observe statistical differences between measured and desired SDCs. Moreover, the predictive performance of our equation was better than that obtained with the compared methods. CONCLUSIONS: We offer a new validated digoxin dosing equation for elderly patients. Our results support the need to perform digoxin dosing in elderly people, bearing in mind the changes in renal physiology secondary to ageing and not merely the estimated glomerular filtration rate.

Usalpharma: a cloud-based architecture to support quality assurance training processes in health area using virtual worlds.

This paper discusses how cloud-based architectures can extend and enhance the functionality of the training environments based on virtual worlds and how, from this cloud perspective, we can provide support to analysis of training processes in the area of health, specifically in the field of training processes in quality assurance for pharmaceutical laboratories, presenting a tool for data retrieval and analysis that allows facing the knowledge discovery in the happenings inside the virtual worlds.

Approaches for dosage individualisation in critically ill patients.

INTRODUCTION: Pharmacokinetic variability in critically ill patients is the result of the overlapping of multiple pathophysiological and clinical factors. Unpredictable exposure from standard dosage regimens may influence the outcome of treatment. Therefore, strategies for dosage individualisation are recommended in this setting. AREAS COVERED: The authors focus on several approaches for dosage individualisation that have been developed, ranging from the well-established therapeutic drug monitoring (TDM) up to the innovative application of pharmacogenomics criteria. Furthermore, the authors summarise the specific population pharmacokinetic models for different drugs developed for critically ill patients to improve the initial dosage selection and the Bayesian forecasting of serum concentrations. The authors also consider the use of Monte Carlo simulation for the selection of dosage strategies. EXPERT OPINION: Pharmacokinetic/pharmacodynamics (PK/PD) modelling and dosage individualisation methods based on mathematical and statistical criteria will contribute in improving pharmacologic treatment in critically ill patients. Moreover, substantial effort will be necessary to integrate pharmacogenomics criteria into critical care practice. The lack of availability of target biomarkers for dosage adjustment emphasizes the value of TDM which allows a large part of treatment outcome variability to be controlled.

Evaluating amikacin dosage regimens in intensive care unit patients: a pharmacokinetic/pharmacodynamic analysis using Monte Carlo simulation.

The objectives of this study were to conduct a comparative pharmacokinetic/pharmacodynamic (PK/PD) evaluation using Monte Carlo simulation of conventional versus high-dose extended-interval dosage (HDED) regimens of amikacin (AMK) in intensive care unit (ICU) patients for an Acinetobacter baumannii infection model. The simulation was performed in five populations (a control population and four subpopulations of ICU patients). Using a specific AMK PK/PD model and Monte Carlo simulation, the following were generated: simulated AMK steady-state plasma level curves; PK/PD efficacy indexes [time during which the serum drug concentration remains above the minimum inhibitory concentration (MIC) for a dosing period (%T>MIC) and ratio of peak serum concentration to MIC (Cmax/MIC)]; evolution of bacterial growth curves; and adaptive resistance to treatment. A higher probability of bacterial resistance was observed with the HDED regimen compared with the conventional dosage regimen. A statistically significant increase in Cmax/MIC and a statistically significant reduction in %T>MIC with the HDED regimen were obtained. A multiple linear relationship between CFU values at 24h with Cmax/MIC and %T>MIC was obtained. In conclusion, with the infection model tested, the likelihood of resistance to treatment may be higher against pathogens with a high MIC with the HDED regimen, considering that in many ICU patients the %T>MIC may be limited. If a sufficient value of %T>MIC (≥60%) is not reached, even though the Cmax/MIC is high, the therapeutic efficacy of the treatment may not be guaranteed. This study indicates that different AMK dosing strategies could directly influence the efficacy results in ICU patients.

Modification of the EMIT immunoassay for the measurement of unbound mycophenolic acid in plasma.

OBJECTIVES: Evaluation of the performance of a modified Enzyme Multiplied Immunoassay Technique for therapeutic drug monitoring of plasma free mycophenolic acid (fMPA) concentrations. DESIGN AND METHODS: A fMPA assay was developed on a Viva-E analyzer. A study of prior ultrafiltration conditions and analytical validation of the EMIT assay were performed. RESULTS: The method was reliable and reproducible. CONCLUSIONS: fMPA levels can be monitored using this EMIT assay with the advantage of being an automated method.

Vancomycin dosing assessment in intensive care unit patients based on a population pharmacokinetic/pharmacodynamic simulation.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT * Despite the frequent use of vancomycin in intensive care unit (ICU) patients, few studies aimed at characterizing vancomycin population pharmacokinetics have been performed in this critical population. * Population pharmacokinetics coupled with pharmacodynamic analysis, in order to optimize drug exposure and hence antibacterial effectiveness, has been little applied in these specific patients. WHAT THIS STUDY ADDS * Our population model characterized the pharmacokinetic profile of vancomycin in adult ICU patients, higher distribution volume values (V) being observed when the patient's serum creatinine (Cr(Se)) was greater than 1 mg dl(-1). * Age and creatinine clearance (CL(cr)) were identified as the main covariates explaining the pharmacokinetic variability in vancomycin CL. * Our pharmacokinetic/pharmacodynamic (PK/PD) simulation should aid clinicians to select initial vancomycin doses that will maximize the rate of response in the ICU setting, taking into account the patient's age and renal function as well as the susceptibility of Staphylococcus aureus. AIM To estimate the vancomycin pharmacokinetic profile in adult ICU patients and to assess vancomycin dosages for increasing the likelihood of optimal exposure. METHODS Five hundred and sixty-nine concentration-time data from 191 patients were analysed using a population pharmacokinetic approach (NONMEN). External model evaluation was made in 46 additional patients. The 24 h area under the concentration-time curve (AUC(0,24 h)) was derived from the final model. Minimum inhibitory concentration (MIC) values for S. aureus were obtained from the EUCAST database. AUC(0,24 h) : MIC >/= 400 was considered as PK/PD efficacy index. The probability of different dosages attaining the target considering different strains of S. aureus and patient subgroups was estimated with Monte Carlo simulation. RESULTS Vancomycin CL showed a significant dependence on patient age and renal function whereas Cr(Se) > 1 mg dl(-1) increased V more than twofold. For our representative ICU patient, 61 years, 73 kg, Cr(Se)= 1.4 mg dl(-1), measured CL(Cr)= 74.7 ml min(-1), the estimated values were CL = 1.06 ml min(-1) kg(-1) and V= 2.04 l kg(-1). The cumulative fraction of response for a standard vancomycin dose (2 g day(-1)) was less than 25% for VISA strains, and 33% to 95% for susceptible S. aureus, depending on patient characteristics. CONCLUSIONS Simulations provide useful information regarding the initial assessment of vancomycin dosing, the conventional dosing regimen probably being suboptimal in adult ICU patients. A graphic approach provides the recommended dose for any selected probability of attaining the PK/PD efficacy target or to evaluate the cumulative fraction of response for any dosing regimen in this population.

Clinical repercussions of analytical interferences due to aldosterone antagonists in digoxin immunoassays: an assessment.

Analytical interferences in digoxin immunoassays constitute a well-known problem, with repercussions for therapeutic drug monitoring. Clinically effective doses of spironolactone and potassium canrenoate cross-react in several digoxin immunoassays, producing falsely elevated or lowered concentrations. This study evaluates the interferences caused by these drugs in the microparticle enzyme immunoassay (MEIA III) in comparison with another 3 immunoassays used for digoxin therapeutic drug monitoring: MEIA II, fluorescence polarization immunoassay, and enzyme multiplied immunoassay. The potential clinical implications of assay discrepancies in patient care are also assessed. To evaluate assay performance, in vitro specimens and real patient samples were measured using the 4 assays. Five serum pools were spiked with digoxin to achieve concentrations of 1 and 2.25 ng/mL digoxin and measured with the immunoassays before and after supplementation. Real samples from patients receiving digoxin (n = 39), digoxin and spironolactone (n = 35), or digoxin and potassium canrenoate (n = 4) were also quantified. The influence of ultrafiltration was evaluated in 3 pools from 29 additional patients. The implications of assay discrepancies for dose recommendations were also evaluated. In general, the results obtained for the in vitro and in vivo approaches coincided, confirming statistically significant differences in the assays regardless of the type of sample. MEIA III showed positive interference against the well-known negative interference attributed to MEIA II. According to Bland-Altman analysis, it is not possible to assume the interchangeability of the immunoassays evaluated. Thus, individual patients must be monitored with the same technique even in the absence of potential interferences. Discordant digoxin dose recommendations were estimated in 31% of patients not treated with interfering drugs and in 43% of cotreated patients. From a clinical perspective, analytical interferences in digoxin immunoassays are a real and frequent problem, which seems even more important in view of the lower therapeutic range now recommended.

Pharmacokinetic basis for the use of extended interval dosage regimens of gentamicin in neonates.

OBJECTIVES: To analyse the pharmacokinetic basis for the use of extended-interval dosage regimens of gentamicin in neonates using population pharmacokinetics. PATIENTS AND METHODS: The population pharmacokinetics of gentamicin was studied retrospectively in a population of 113 neonates divided into two groups: one for computing the population model (n=97) and another for validation (n=36). A one-compartment pharmacokinetic model and non-linear mixed-effects modelling were used to assess the population pharmacokinetic model. RESULTS: Weight (W) and postnatal age (PA) were the covariates that influenced the pharmacokinetic parameters of gentamicin. The final population model obtained was: distribution volume, V (L)=0.636 x W (kg)0.852; clearance, Cl (L/h)=0.032 x W (kg)1.482+0.0024 x PA (days). The predictive performance of the model in the population validation was adequate for clinical purposes. The optimized population model allowed us to simulate gentamicin serum levels and their variability, in this kind of patient, when extended-interval dosage administration regimens were implemented. CONCLUSIONS: According to our pharmacokinetic population model, initial doses of gentamicin of 10 mg/kg, and dosage intervals between 36-48 h, appear to be appropriate to achieve target peak and trough serum levels of 15-20 and <0.5 mg/L, respectively, when extended-interval dosage regimens are implemented in newborns. The half-life of gentamicin in premature babies of very low weight and gestational age <31 weeks is long. Thus, to achieve serum concentrations in the 1-10 mg/L range, the use of dosage regimens of 5 mg/kg at 36-48 h dosage intervals seems suitable.

Pharmacokinetic study of the digoxin-acenocoumarol interaction in rabbits.

A study was carried out to evaluate the potential pharmacokinetic interaction between digoxin and acenocoumarol. The binding of digoxin to rabbit cardiac tissue homogenates was assessed in vitro, using the equilibrium dialysis technique. An increase in the first-order constant (p<0.05) and a reduction in the partition coefficient in the equilibrium situation (p<0.001) of digoxin were observed when the cardiac homogenates were previously treated with acenocoumarol. In the in vivo study, the kinetics of digoxin administered in single and multiple dosage regimens were compared in control rabbits and in rabbits treated simultaneously with acenocoumarol. Kinetic analysis of the results was performed using Non-linear Mixed Effects Modeling (NONMEM). In the presence of acenocoumarol, the population distribution volume (Vd) of digoxin was increased by 40-60%, no differences being found as regards the elimination clearance. Also, joint administration of both drugs led to a reduction in digoxin concentrations in the heart (p<0.01) at the end of the dosage regimen. Both sets of results point to the hypothesis of a hitherto unreported possible pharmacokinetic interaction between the two drugs affecting the distribution process. This interaction could lead to lower plasma digoxin levels, in view of the increased Vd, and a possible reduction in the therapeutic effect, owing to the decrease in affinity and in concentration in heart tissue.