• MeSH
• farmaceuti * trendy   MeSH
• lidé MeSH
• nemocniční lékárny * trendy   MeSH
• pracovní síly trendy   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• úvodníky MeSH

OBJECTIVES: The objective of this study was to develop a population pharmacokinetic model of meropenem in a heterogeneous population of patients with a serious bacterial infection in order to propose dosing optimisation leading to improved achievement of the pharmacokinetic/pharmacodynamic (PK/PD) target. METHODS: A total of 174 meropenem serum levels obtained from 144 patients during therapeutic drug monitoring were analysed using a non-linear mixed-effects modelling approach and Monte Carlo simulation was then used to compare various dosing regimens in order to optimise PK/PD target attainment. RESULTS: The meropenem volume of distribution of the patient population was 54.95 L, while clearance started at 3.27 L/hour and increased by 0.91 L/hour with each 1 mL/s/1.73 m2 of estimated glomerular filtration rate. Meropenem clearance was also 0.31 L/hour higher in postoperative patients with central nervous system infection. Meropenem administration by continuous infusion showed a significantly higher probability of attaining the PK/PD target than a standard 30 min infusion (95.3% vs 49.5%). CONCLUSIONS: A daily meropenem dose of 3 g, 6 g and 10.5 g administered by continuous infusion was shown to be accurate for patients with moderate to severe renal impairment, normal renal function to mild renal impairment and augmented renal clearance, respectively.

• MeSH
• antibakteriální látky * farmakokinetika   aplikace a dávkování   MeSH
• bakteriální infekce * farmakoterapie   MeSH
• biologické modely * MeSH
• dospělí MeSH
• intravenózní infuze MeSH
• lidé středního věku MeSH
• lidé MeSH
• meropenem * farmakokinetika   aplikace a dávkování   MeSH
• metoda Monte Carlo MeSH
• monitorování léčiv metody   MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• vztah mezi dávkou a účinkem léčiva MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• MeSH
• nemocniční lékárny * MeSH
• průzkumy a dotazníky MeSH
• specializace MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVES: Levetiracetam is an anticonvulsive drug increasingly used in paediatric populations. Ontogenesis may alter its pharmacokinetics, demanding dose individualisation of levetiracetam in paediatric populations. We therefore aimed to explore levetiracetam pharmacokinetics and to propose its optimal dosing in the paediatric population. METHODS: Individual levetiracetam pharmacokinetic parameters were calculated based on therapeutic drug monitoring data, using a one-compartmental model, and regression models were used to explore possible covariates. RESULTS: 56 patients aged from 47 days to 18 years were included in the analysis. The median (IQR) volume of distribution and clearance of levetiracetam were 0.7 (0.58-0.85) L/kg and 0.123 (0.085-0.167) L/hour/kg, respectively. Levetiracetam pharmacokinetics were influenced by postnatal age, body size descriptors and renal functional status. CONCLUSIONS: Based on observed relationships, an individualised loading dose of 26.2 mg/kg body weight and maintenance dose of 20.7 mg/mL/min of estimated glomerular filtration rate were calculated as optimal. Since we observed increased levetiracetam clearance in association with valproate co-medication, caution should be used when combining these two drugs.

• MeSH
• antikonvulziva * MeSH
• dítě MeSH
• kyselina valproová * MeSH
• levetiracetam MeSH
• lidé MeSH
• monitorování léčiv MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

OBJECTIVES: The 2018 EAHP European Statements Survey focused on sections 1, 3 and 4 of the European Statements of Hospital Pharmacy. Statistical data on the level of implementation and on the main barriers to implementation of the Statements were collected. A further aim was to identify barriers in general, such as lack of awareness. METHODS: An online questionnaire was sent to all hospital pharmacies in EAHP member countries. Data were analysed at Keele University School of Pharmacy, UK. As with previous reports, the survey was divided into three sections: section A, asking general questions about the hospital pharmacy; Section B, addressing questions about the current activity of pharmacists around each statement from Sections 1, 3 and 4; and Section C, focusing on their ability to implement the statements. RESULTS: 719 complete responses were obtained from a sample of 5164 hospital pharmacies, giving a response rate of 14% (719/5164). Section A results indicated that 45% (323/719) of responders worked in teaching hospitals, 79% (568/719) of hospital pharmacies had 10 or fewer pharmacists, and 48% (345/719) of hospital pharmacies served over 500 beds. Section B results found a high percentage of positive responses for activity in section 1 (introductory statements and governance) and section 3 (production and compounding). However, responses to questions in section 4 (clinical pharmacy services) were more variable, with 6 of the 15 questions being answered positively by less than half of respondents. The five questions that revealed the lowest implementation levels were then analysed in greater detail. These questions corresponded to Statements 4.4, 4.5, 4.8, 1.1, and 4.2, which need the greatest effort for implementation. The major identified barriers to implementation were 'lack of capacity' and that 'other health professionals in the hospital fulfil the tasks'. CONCLUSIONS: This survey provides useful information on the implementation status (and the barriers to, and drivers of implementation) of sections 1, 3 and 4 of the Statements. This will allow the EAHP to plan its implementation support programme for its members. To increase the quality of data, as well as the feedback to hospital pharmacies, the EAHP is planning to combine the survey with the self-assessment tool of the European Statements of Hospital Pharmacy.

• MeSH
• farmaceuti MeSH
• farmacie * MeSH
• lékárny * MeSH
• lidé MeSH
• nemocniční lékárny * MeSH
• průzkumy a dotazníky MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVE: To create an informatics supportive tool, which can assist healthcare professionals in estimating potential requirements for essential drug supplies to respond to the current SARS-CoV-2 pandemic based on epidemiological forecasting. METHODS: The tool was based on a Susceptible-Infected-Removed (SIR) epidemiological model in which the population is divided into three compartments and transmission parameters are specified to define the rate at which people move between stages. Appropriate data entry was guaranteed by the creation of structured guided paths. The drugs needed for the forecasted patients were estimated according to a list of critical care drugs compiled by consulting previous published scientific works, national and international guidelines. For each drug, an estimation was made of the percentage average ICU uptake for each therapeutic group and active principle. RESULTS: The tool consists of a Microsoft Excel template that is based on the initial epidemiological situation, the non-pharmaceutical interventions applied, the risk of hospitalisation based on the population age distribution, and the hospital beds available. The tool provides a forecast of which patients with COVID-19 will need to be treated in a hospital setting. The number of patients is used to estimate the drugs needed based on the average daily dose and the treatment length of each drug. The possibility of editing the type of distribution (exponential or linear) of the number of patients at the beginning of the analysis, the percentage adherence with non-pharmaceutical interventions and their delayed effect, and all the key epidemiological parameters make the estimation tailorable to different clinical contexts and needs. CONCLUSIONS: This model might be an effective supporting tool that could be easily implemented within the workflow of health professionals. All the information reported in this paper could be useful in developing new strategies to tackle the COVID-19 pandemic.

• MeSH
• COVID-19 * MeSH
• hospitalizace MeSH
• lidé MeSH
• pandemie * MeSH
• péče o pacienty v kritickém stavu MeSH
• SARS-CoV-2 MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVES Due to the high interindividual variability in vancomycin pharmacokinetics optimisation of its dosing is still challenging This study aimed to explore vancomycin pharmacokinetics in adult patients and to propose an easy applicable dosing nomogram for initial treatment METHODS Vancomycin pharmacokinetics was calculated in a two compartmental model based on therapeutic drug moni

• MeSH
• antibakteriální látky * MeSH
• dospělí MeSH
• hodnoty glomerulární filtrace MeSH
• ledviny fyziologie   MeSH
• lidé MeSH
• monitorování léčiv MeSH
• vankomycin * MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

AIMS AND OBJECTIVES: The aim of the 2019 EAHP Medicines Shortages Survey was to collect information on reasons and management strategies for medicines shortages as well as details on their impact on patients. The survey targeted hospital pharmacists (HPs), physicians (PHYs), nurses (NRS) and other healthcare professionals (OHCPs). A separate set of questions addressed patients (PTNs). METHODS: A 28-question survey was conducted by EAHP, collecting information from European HPs, PTNs, NRS, PHYs and OHCPs on the shortage situation in their respective countries. The survey ran from 7 November 2019 to 13 January 2020. The results were analysed by EAHP. RESULTS: There were 2136 HP responses to the 2019 survey compared with 1666 in 2018. While 95% of HPs and 89% of OHCPs consider medicine shortages a current problem, only 71% of PHYs and 62% of NRS state the same. Shortages of active pharmaceutical ingredients (72%), manufacturing (72%) and supply chain problems (49%) are leading causes of shortages according to HPs, while PHYs (40%) and NRS (37%) consider the pricing to be their driver. Antimicrobials and oncology medicines were most affected by shortages in 2019. Compared to 2018, the percentage of respondents who reported shortages of oncology medicines increased from 39% to 47% in 2019. HPs (42%), PHYs (36%) and OHCPs (38%) consider delays in care as the main consequence of medication shortages. The satisfaction with reporting systems for medicine shortages decreased from 56% in 2018 to 48% in 2019 for HPs, while they remain low for PHYs (36%). CONCLUSIONS: Medicines shortages affect patient care and healthcare professionals' everyday tasks. Better enforcing of the mandatory early notification of shortages and structured mitigation response is recognised by all respondents as best strategy to tackle shortages.

• MeSH
• farmaceuti statistika a číselné údaje   MeSH
• farmaceutický průmysl statistika a číselné údaje   MeSH
• léčivé přípravky ekonomika   zásobování a distribuce   MeSH
• lidé MeSH
• náklady na léky MeSH
• nemocniční lékárny statistika a číselné údaje   MeSH
• péče o pacienta normy   MeSH
• průzkumy a dotazníky MeSH
• zdravotnický personál statistika a číselné údaje   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Evropa MeSH

Background: The precision of the population pharmacokinetic model used in therapeutic drug monitoring (TDM) is essential for successful dosage optimisation. Objective: To evaluate the predictive performance of pharmacokinetic models used in our hospital and to evaluate the possible impact of demographic characteristics or renal function on TDM accuracy. Methods: We compared a posteriori an adjusted concentration-time curve profile based on the first measured drug concentration with the second measured drug concentration. Linear regression models were used to compare predicted and observed drug serum concentrations, and to evaluate potential relationships between predictive performance and patients ́ demographic/clinical features. Predictive performance of TDM was expressed using accuracy, precision, sensitivity and specificity. Results: One hundred and fifty-two patients were enrolled in the study. All pharmacokinetic models showed good predictive performance expressed by the coefficient of determination (r2) of 0.5642, 0.7263, 0.9001 and 0.9454 for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Accuracy was 93.3%, 91.2%, 113.9% and 130.9% for continuous vancomycin, intermittent vancomycin, amikacin and gentamicin, respectively. Demographic characteristics or renal functions had no substantial impact on the accuracy of TDM. Conclusion: We found the predictive performance of both aminoglycosides and vancomycin pharmacokinetic models to be satisfactory.

• Publikační typ
• časopisecké články MeSH

Objectives: The abuse of benzodiazepines and Z-drugs reduces the quality of life of millions of addicted people worldwide. They cannot be discontinued abruptly due to harmful withdrawal symptoms. Detoxification is usually based on replacement of short/middle acting benzodiazepines or Z-drugs by diazepam and tapering the dose over time. In order to enhance patient adherence to an individual withdrawal plan, suitable diazepam dosage forms have to be available. Hard capsules containing an exact and uniform dose could be used for the relief of symptoms caused by altering the plasma level and overcoming psychogenic stress from the dose reduction. Methods: This work demonstrates that capsules with a content of diazepam ranging from 2.125mg to 0.492 mg (dose decreasing always by 15%) cannot be easily prepared by standard mortar technology in a pharmacy. To meet mass and content uniformity European Pharmacopoeia criteria, capsules were prepared by improved technology based on the preparation of binary blends of calcium phosphate anhydrous and diazepam in descending concentrations in a high-speed mixer (time 30 s) and densification of about 10% during filling of the capsules. Results: All batches (n=20) prepared by improved technology met the requirement for content uniformity compared with only nine batches prepared by standard mortar blender technology. Based on the process capability index, none of the samples prepared by standard technology fitted pharmacopeia limits at the statistically acceptable level. On the other hand, all batches prepared by improved technology exhibited acceptable process capability index. Conclusions: We have shown that at least 99.73% of batches prepared by our improved technology would meet the pharmacopoeia limits for content uniformity and are suitable for treatment of this type of addiction.

• Publikační typ
• časopisecké články MeSH