A phase II study of the modulation of 5-fluorouracil and folinic acid with high-dose infusional hydroxyurea in metastatic colorectal carcinoma

Background: Hydroxyurea (HU), an inhibitor of ribonucleotide reductase, may potentiate the activity of 5-fluorouracil (5-FU) and folinic acid (FA) by reducing the deoxyribonucleotide pool available for DNA synthesis and repair. However as HU may inhibit the formation of 5-fluoro-2-deoxyuridine-5- monophosphate (FdUMP), one of the principal active metabolites of 5-FU, the scheduling of HU may be critical. In vitro experiments suggest that administration of HU following 5-FU, maintaining the concentration in the region of I mM for six or more hours, significantly enhances the efficacy of 5-FU. Patients and methods: 5-FU/FA was given as follows: days 1 and 2 - FA 250 mg/m 2 (max. 350 mg) over two hours followed by 5-FU 400 mg/m 2 by intravenous bolus (ivb) over 15 minutes and subsequently 5-FU 400 mg/m 2 infusion (ivi) over 22 hours. HU was administered on day 3 immediately after the 5-FU with 3 g ivb over 15 minutes followed by 12 g ivi over 12 hours. Results: Thirty patients were entered into the study. Median survival was nine months (range 1-51 + months). There were eight partial responses (28%, 95% CI: 13%-47%). The median duration of response was 6.5 (range 4-9 months). Grade 3-4 toxicities included neutropenia (grade 3 in eight patients and grade 4 in five), anaemia (grade 3 in one patient) and diarrhoea (grade 3 in two patients). Neutropenia was associated with pyrexia in two patients. Phlebitis at the infusion site occurred in five patients. The treatment was complicated by pulmonary embolism in one patient and deep venous thrombosis in another. Conclusion: HU administered in this schedule is well tolerated. Based on these results and those of other phase II studies, a randomised phase III study of 5-FU, FA and HU versus 5-FU and FA using the standard de Gramont schedule is recommended.

An adaptive drug delivery design using neural networks for effective treatment of infectious diseases: A simulation study

An adaptive drug delivery design is presented in this paper using neural networks for effective treatment of infectious diseases. The generic mathematical model used describes the coupled evolution of concentration of pathogens, plasma cells, antibodies and a numerical value that indicates the relative characteristic of a damaged organ due to the disease under the influence of external drugs. From a system theoretic point of view, the external drugs can be interpreted as control inputs, which can be designed based on control theoretic concepts. In this study, assuming a set of nominal parameters in the mathematical model, first a nonlinear controller (drug administration) is designed based on the principle of dynamic inversion. This nominal drug administration plan was found to be effective in curing "nominal model patients" (patients whose immunological dynamics conform to the mathematical model used for the control design exactly. However, it was found to be ineffective in curing "realistic model patients" (patients whose immunological dynamics may have off-nominal parameter values and possibly unwanted inputs) in general. Hence, to make the drug delivery dosage design more effective for realistic model patients, a model-following adaptive control design is carried out next by taking the help of neural networks, that are trained online. Simulation studies indicate that the adaptive controller proposed in this paper holds promise in killing the invading pathogens and healing the damaged organ even in the presence of parameter uncertainties and continued pathogen attack. Note that the computational requirements for computing the control are very minimal and all associated computations (including the training of neural networks) can be carried out online. However it assumes that the required diagnosis process can be carried out at a sufficient faster rate so that all the states are available for control computation.

Effective drug dosage design for treatment of infectious diseases using dynamic inversion

A generic nonlinear mathematical model describing the human immunological dynamics is used to design an effective automatic drug administration scheme. Even though the model describes the effects of various drugs on the dynamic system, this work is confined to the drugs that kill the invading pathogen and heal the affected organ. From a system theoretic point of view, the drug inputs can be interpreted as control inputs, which can be designed based on control theoretic concepts. The controller is designed based on the principle of dynamic inversion and is found to be effective in curing the �nominal model patient� by killing the invading microbes and healing the damaged organ. A major advantage of this technique is that it leads to a closed-form state feedback form of control. It is also proved from a rigorous mathematical analysis that the internal dynamics of the system remains stable when the proposed controller is applied. A robustness study is also carried out for testing the effectiveness of the drug administration scheme for parameter uncertainties. It is observed from simulation studies that the technique has adequate robustness for many �realistic model patients� having off-nominal parameter values as well.

Uso seguro de opioides no paciente queimado: proposta de barreiras pela enfermagem

A tese desenvolvida neste estudo é que a depressão respiratória em pacientes queimados que utilizam opiódes como terapeutica farmacológica da dor, pode ser prevenida por meio de ações de enfermagem que identifiquem os fatores predisponentes para a depressão respiratória, que considerem na rotina de aprazamento da terapeutica farmacológica da dor, as características farmacológicas dos medicamentos, para evitar interações medicamentosas e que monitorem adequadamente o paciente queimado para identificar precocemente sinais de depressão respiratória. Para tanto, este estudo teve como objetivo desenvolver barreiras de segurança com foco em ações de enfermagem, para prevenção de depressão respiratória em pacientes queimados em uso de opióides. Trata-se de um estudo restrospectivo, em que foram analisados 272 prontuários de pacientes queimados internados em um Centro de Tratamento de Queimados (CTQ), de um hospital público federal de grande porte, no município do Rio de Janeiro. nos anos de 2011 a 2013. Dentre os 272 prontuários 42 atenderam os critérios de seleção da pesquisa, e destes, em 28,58% (n=12) foi identificada a ocorrência de depressão respiratória. Predominaram pacientes adultos jovens do sexo masculino. O óbito predominou no grupo com DR, assim como, queimaduras de 2 e 3 graus, e superfície corporal queimada com mediana de 50%. Os fatores predominantes para depressão respiratória foram insuficiencia renal, hipoalbuminemia e hipertensão arterial. Na terapia medicamentosa dos pacientes queimados, os analgésicos opióides são os mais utilizados, predominando o tramadol (45,49%) e a metadona (18,45%). Diazepam é o benzodiazepínico de escolha, entre os antidepressivos a imipramina é o mais utilizado, apesar de classificada como anticonvulsivantes a gabapentina, nos queimados é utilizada em dose analgésica. Tanto no grupo de pacientes com ou sem DR, os horários de adiministração de medicamentos que predominaram foram 22h e 06h. Foi evidenciado PIM em 66,6% dos pacientes estudados. A associação entre a ocorrência de PIM e a DR demonstrou-se positiva; os pacientes com que apresentaram PIM têm 2,5 vezes mais risco de apresentar DR. Os pares de medicamentos prevalentes e que apresentaram PIM no grupo com DR foram, metadona com diazepam (n=5), tramadol com fentanil (4), metadona com impramina e metadona com tramadol (n=3). No grupo sem DR foram metadona e tramadol (n=8), tramadol com fentanil (4), e metadona com diazepam (3). As vias oral e intravenosa predominaram nos pacientes com e sem DR, e não houve associação positiva entre a administração por essas vias e a oorrência de DR, constatando-se que a via de administração não é tão relevante para a DR. Nos pacientes com DR, 83,3% apresentaram PIM, principalmente nos horários 22h e 06h, horários próximos aos de ocorrência de DR. Espera-se que este estudo contribua para a segurança medicamentosa no uso de opióides, e na prevenção do eventos adverso grave como a depressão respiratória em pacientes queimados.

Economics of new oncology drug development.

PURPOSE: Review existing studies and provide new results on the development, regulatory, and market aspects of new oncology drug development. METHODS: We utilized data from the US Food and Drug Administration (FDA), company surveys, and publicly available commercial business intelligence databases on new oncology drugs approved in the United States and on investigational oncology drugs to estimate average development and regulatory approval times, clinical approval success rates, first-in-class status, and global market diffusion. RESULTS: We found that approved new oncology drugs to have a disproportionately high share of FDA priority review ratings, of orphan drug designations at approval, and of drugs that were granted inclusion in at least one of the FDA's expedited access programs. US regulatory approval times were shorter, on average, for oncology drugs (0.5 years), but US clinical development times were longer on average (1.5 years). Clinical approval success rates were similar for oncology and other drugs, but proportionately more of the oncology failures reached expensive late-stage clinical testing before being abandoned. In relation to other drugs, new oncology drug approvals were more often first-in-class and diffused more widely across important international markets. CONCLUSION: The market success of oncology drugs has induced a substantial amount of investment in oncology drug development in the last decade or so. However, given the great need for further progress, the extent to which efforts to develop new oncology drugs will grow depends on future public-sector investment in basic research, developments in translational medicine, and regulatory reforms that advance drug-development science.

Returns to R&D on new drug introductions in the 1980s.

This study finds that the mean IRR for 1980-84 U.S. new drug introductions is 11.1%, and the mean NPV is 22 million (1990 dollars). The distribution of returns is highly skewed. The results are robust to plausible changes in the baseline assumptions. Our work is also compared with a 1993 study by the OTA. Despite some important differences in assumptions, both studies imply that returns for the average NCE are within one percentage point of the industry's cost of capital. This is much less than what is typically observed in analyses based on accounting data.

Phase I study of GSK461364, a specific and competitive Polo-like Kinase 1 (PLK1) inhibitor in patients with advanced solid malignancies.

Purpose: GSK461364 is an ATP-competitive inhibitor of polo-like kinase 1 (Plk1). A phase I study of two schedules of intravenous GSK461364 was conducted. Experimental Design: GSK461364 was administered in escalating doses to patients with solid malignancies by two schedules, either on days 1, 8, and 15 of 28-day cycles (schedule A) or on days 1, 2, 8, 9, 15, and 16 of 28-day cycles (schedule B). Assessments included pharmacokinetic and pharmacodynamic profiles, as well as marker expression studies in pretreatment tumor biopsies. Results: Forty patients received GSK461364: 23 patients in schedule A and 17 in schedule B. Dose-limiting toxicities (DLT) in schedule A at 300 mg (2 of 7 patients) and 225 mg (1 of 8 patients) cohorts included grade 4 neutropenia and/or grade 3–4 thrombocytopenia. In schedule B, DLTs of grade 4 pulmonary emboli and grade 4 neutropenia occurred at 7 or more days at 100 mg dose level. Venous thrombotic emboli (VTE) and myelosuppression were the most common grade 3–4, drug-related events. Pharmacokinetic data indicated that AUC (area under the curve) and C max (maximum concentration) were proportional across doses, with a half-life of 9 to 13 hours. Pharmacodynamic studies in circulating tumor cells revealed an increase in phosphorylated histone H3 (pHH3) following drug administration. A best response of prolonged stable disease of more than 16 weeks occurred in 6 (15%) patients, including 4 esophageal cancer patients. Those with prolonged stable disease had greater expression of Ki-67, pHH3, and Plk1 in archived tumor biopsies. Conclusions: The final recommended phase II dose for GSK461364 was 225 mg administered intravenously in schedule A. Because of the high incidence (20%) of VTE, for further clinical evaluation, GSK461364 should involve coadministration of prophylactic anticoagulation.

A Data Mining Approach for the Identification of Adverse Drug Events (ADE) resulting from Drug-Drug Interactions (DDI) to improve pharmacovigilance

In the current study, epidemiology study is done by means of literature survey in groups identified to be at higher potential for DDIs as well as in other cases to explore patterns of DDIs and the factors affecting them. The structure of the FDA Adverse Event Reporting System (FAERS) database is studied and analyzed in detail to identify issues and challenges in data mining the drug-drug interactions. The necessary pre-processing algorithms are developed based on the analysis and the Apriori algorithm is modified to suit the process. Finally, the modules are integrated into a tool to identify DDIs. The results are compared using standard drug interaction database for validation. 31% of the associations obtained were identified to be new and the match with existing interactions was 69%. This match clearly indicates the validity of the methodology and its applicability to similar databases. Formulation of the results using the generic names expanded the relevance of the results to a global scale. The global applicability helps the health care professionals worldwide to observe caution during various stages of drug administration thus considerably enhancing pharmacovigilance

Administration of medication

Recorded in 2011 these narrated slides summarise rules and legislation at time of recordng

The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study

Objectives: To assess the impact of a closed-loop electronic prescribing, automated dispensing, barcode patient identification and electronic medication administration record (EMAR) system on prescribing and administration errors, confirmation of patient identity before administration, and staff time. Design, setting and participants: Before-and-after study in a surgical ward of a teaching hospital, involving patients and staff of that ward. Intervention: Closed-loop electronic prescribing, automated dispensing, barcode patient identification and EMAR system. Main outcome measures: Percentage of new medication orders with a prescribing error, percentage of doses with medication administration errors (MAEs) and percentage given without checking patient identity. Time spent prescribing and providing a ward pharmacy service. Nursing time on medication tasks. Results: Prescribing errors were identified in 3.8% of 2450 medication orders pre-intervention and 2.0% of 2353 orders afterwards (p<0.001; χ2 test). MAEs occurred in 7.0% of 1473 non-intravenous doses pre-intervention and 4.3% of 1139 afterwards (p = 0.005; χ2 test). Patient identity was not checked for 82.6% of 1344 doses pre-intervention and 18.9% of 1291 afterwards (p<0.001; χ2 test). Medical staff required 15 s to prescribe a regular inpatient drug pre-intervention and 39 s afterwards (p = 0.03; t test). Time spent providing a ward pharmacy service increased from 68 min to 98 min each weekday (p = 0.001; t test); 22% of drug charts were unavailable pre-intervention. Time per drug administration round decreased from 50 min to 40 min (p = 0.006; t test); nursing time on medication tasks outside of drug rounds increased from 21.1% to 28.7% (p = 0.006; χ2 test). Conclusions: A closed-loop electronic prescribing, dispensing and barcode patient identification system reduced prescribing errors and MAEs, and increased confirmation of patient identity before administration. Time spent on medication-related tasks increased.

Experience With Lacosamide in a Series of Children With Drug-Resistant Focal Epilepsy

We report our pediatric experience with lacosarnide, a new antiepileptic drug, approved by the US Food and Drug Administration as adjunctive therapy in focal epilepsy in patients more than 17 years old. We retrospectively reviewed charts for lacosamide use and seizure frequency outcome in patients with focal epilepsy (Wilcoxon signed rank test). Sixteen patients (7 boys) were identified (median dose 275 mg daily, 4.7 mg/kg daily; mean age 14.9 years, range 8-21 years). Patients were receiving a median of 2 antiepileptic drugs (interquartile range [IQR] 1.7-3) in addition to having undergone previous epilepsy surgery (n = 3), vagus nerve stimulation (n = 9), and ketogenic diet (n = 3). Causes included structural (encephalomalacia and diffuse encephalitis, 1 each; stroke in 2) and genetic abnormalities (Aarskog and Rett syndromes, 1 each) or cause not known (n = 10). Median seizure frequency at baseline was 57 per month (IQR 7-75), and after a median follow-up of 4 months (range 1-13 months) of receiving lacosamide, it was 12.5 per month (IQR 3-75), (P < 0.01). Six patients (37.5%; 3 seizure free) were classified as having disease that responded to therapy (>= 50% reduction seizure frequency) and 10 as having disease that did not respond to therapy (<50% in 3; increase in 1; unchanged in 6). Adverse events (tics, behavioral disturbance, seizure worsening, and depression with suicidal ideation in 1 patient each) prompted lacosamide discontinuation in 4/16 (25%). This retrospective study of 16 children with drug-resistant focal epilepsy demonstrated good response to adjunctive lacosamide therapy (median seizure reduction of 39.6%; 37.5% with >= 50% seizure reduction) without severe adverse events. (C) 2011 Elsevier Inc. All rights reserved.

Prediction of Drug Dissolution Profiles Using Artificial Neural Networks

This paper investigates the efficacy and reliability of Artificial Neural Networks (ANNs) as an intelligent decision support tool for pharmaceutical product formulation. Two case studies have been employed to evaluate capabilities of the Multilayer Perceptron network in predicting drug dissolution/release profiles. Performances of the network were evaluated using similarity factor (&fnof[sub 2]) — an index recommended by the United States Food and Drug Administration for profile comparison in pharmaceutical research. In addition, the bootstrap method was applied to assess the network prediction reliability by estimating confidence intervals associated with the results. The Multilayer Perceptron network also demonstrated a superior performance in comparison with multiple regression models. The results reveal that the ANN system has potentials to be a decision support tool for profile prediction in pharmaceutical experimentation, and the bootstrap method could be used as a means to assess reliability of the network prediction. [ABSTRACT FROM AUTHOR].

Clinical association between pharmacogenomics and adverse drug reactions

Adverse drug reactions (ADRs) are a major public health concern and cause significant patient morbidity and mortality. Pharmacogenomics is the study of how genetic polymorphisms affect an individual’s response to pharmacotherapy at the level of a whole genome. This article updates our knowledge on how genetic polymorphisms of important genes alter the risk of ADR occurrence after an extensive literature search. To date, at least 244 pharmacogenes identified have been associated with ADRs of 176 clinically used drugs based on PharmGKB. At least 28 genes associated with the risk of ADRs have been listed by the Food and Drug Administration as pharmacogenomic biomarkers. With the availability of affordable and reliable testing tools, pharmacogenomics looks promising to predict, reduce, and minimize ADRs in selected populations.

Estudo de fase I e farmacocinética com etoposide oral em crianças e adolescentes com tumores sólidos refratários

Introdução. Embora muitas crianças com câncer possam ser curadas, um número significativo têm resposta insatisfatória por ineficácia da terapêutica tornando necessário identificar agentes anticâncer mais efetivos contra tumores refratários ou recaídos. Estudos com Etoposide revelaram uma clara relação entre o tempo de exposição e os seus efeitos citotóxicos, mostrando resultados superiores com o uso de doses fracionadas quando comparado ao uso de uma dose única. Estudos de farmacocinética sugerem que as concentrações plasmáticas ativas de Etoposide se situa entre 1 e 5 μg/ml e que níveis acima de 5 μg/ml determinam uma mielotoxicidade importante. O Etoposide apresenta um bom espectro antitumoral mesmo em pacientes que já foram tratados por via parenteral e uma adequada biodisponibilidade pela via oral, podendo ser administrado com segurança em regime ambulatorial. Portanto, torna-se atraente a busca de esquemas de administração deste agente, os quais produzem níveis de concentração plasmática seguras pelo maior tempo possível. Objetivos. Os objetivos deste estudo de fase I é avaliar o perfil de toxicidade, a toxicidade dose-limitante, a dose máxima tolerada, a farmacocinética plasmática e a dose segura do Etoposide oral recomendada para estudos de fase II em pacientes pediátricos portadores de tumor sólido refratário. Materiais e Métodos. Todos os pacientes eram portadores de tumor sólido não responsivo aos tratamentos estabelecidos. A dose inicial do Etoposide foi de 20mg/m2/dose, a cada 8 horas durante 14 dias seguido de um intervalo de 7 dias antes de iniciar o próximo ciclo. A farmacocinética plasmática do Etoposide foi estudada durante o primeiro dia de tratamento e os níveis de Etoposide determinados pelo método de HPLC. Resultados. Dezessete pacientes foram incluídos no estudo, sendo que em 13 foram realizados o estudo de farmacocinética. O número total de cursos de quimioterapia foi de 64. Nove pacientes foram incluídos no Nível de dose I, sendo que leucopenia grau 2-3 foi observada em 5. A dose foi então escalonada para 25 mg/m2 (Nível de dose II) e fornecida a 8 pacientes subsequentes o que determinou leucopenia grau 3-4 em 4 deles. Este Nível de dose foi então considerado como DMT (Dose Máxima Tolerada). A TDL foi neutropenia. As concentrações plasmáticas máximas de Etoposide nos pacientes incluídos no Nível de dose I e II foram de 2,97 e 8,59 μg/ml, respectivamente, e os níveis da droga >1 μg/ml foi mantido durante cerca de 6,3 horas após a administração da droga em ambos os níveis de dose. Resposta parcial foi observada em 1 paciente e 4 apresentaram doença estável. Conclusões. A administração prolongada de Etoposide oral nas doses de 20 mg/m2 a cada 8 horas durante 14 dias consecutivos, seguidos de 7 dias de repouso, foi bem tolerada e determinou uma toxicidade manejável em crianças e adolescentes portadores de doenças malignas refratárias. A dose de 20 mg/m2 aparentemente preencheu os requisitos farmacocinéticos que objetivam melhorar o índice terapêutico do Etoposide, ou seja, a obtenção de níveis plasmáticos citotóxicos sustentados e abaixo do limite de toxicidade clínica da droga.

Plasma concentrations and behavioral, antinociceptive, and physiologic effects of methadone after intravenous and oral transmucosal administration in cats

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)