998 resultados para Drugs Relations
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Incidentes com medicamentos geram problemas aos pacientes e custos adicionais ao sistema de saúde. A variedade de termos utilizada para comunicá-los propicia divergências nos resultados de pesquisas e confundem notificadores. Objetivou-se revisar os termos utilizados para descrever estes incidentes confrontando-os com as conceituações/definições oficiais disponíveis. Pesquisaram-se as bases PubMed, MEDLINE, IPA e LILACS para selecionar estudos publicados entre janeiro de 1990 e dezembro de 2005. Selecionaram-se 33 publicações. Verificou-se que a terminologia supranacional recomendada para descrever incidentes com medicamentos é insuficiente, mas que há consenso de uso das expressões em função do gênero do incidente. O termo Reação Adversa a Medicamento é mais utilizado quando não se verifica intencionalidade. A expressão Evento Adverso a Medicamento foi mais usada quando se descreviam incidentes durante a hospitalização; e Problema Relacionado a Medicamento foi mais utilizada em estudos que avaliaram atenção/cuidados farmacêuticos (uso/falta do medicamento). Ainda assim, a linha divisória entre essas três categorias não é clara e simples. Futuros estudos das relações entre as categorias e investigações multidisciplinares sobre erro humano podem subsidiar a proposição de novas conceituações
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Incidentes com medicamentos geram problemas aos pacientes e custos adicionais ao sistema de saúde. A variedade de termos utilizada para comunicá-los propicia divergências nos resultados de pesquisas e confundem notificadores. Objetivou-se revisar os termos utilizados para descrever estes incidentes confrontando-os com as conceituações/definições oficiais disponíveis. Pesquisaram-se as bases PubMed, MEDLINE, IPA e LILACS para selecionar estudos publicados entre janeiro de 1990 e dezembro de 2005. Selecionaram-se 33 publicações. Verificou-se que a terminologia supranacional recomendada para descrever incidentes com medicamentos é insuficiente, mas que há consenso de uso das expressões em função do gênero do incidente. O termo Reação Adversa a Medicamento é mais utilizado quando não se verifica intencionalidade. A expressão Evento Adverso a Medicamento foi mais usada quando se descreviam incidentes durante a hospitalização; e Problema Relacionado a Medicamento foi mais utilizada em estudos que avaliaram atenção/cuidados farmacêuticos (uso/falta do medicamento). Ainda assim, a linha divisória entre essas três categorias não é clara e simples. Futuros estudos das relações entre as categorias e investigações multidisciplinares sobre erro humano podem subsidiar a proposição de novas conceituações.
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"February 8, 9, 10, and 11, 1988"--Pt. 2.
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Objective: The aim of this study was to estimate costs attributable to substance use and misuse in Canada in 2002. Method: Based on information about prevalence of exposure and risk relations for more than 80 disease categories, deaths, years of life lost, and hospitalizations attributable to substance use and misuse were estimated. In addition, substance-attributable fractions for criminal justice expenditures were derived. Indirect costs were estimated using a modified human capital approach. Results: Costs of substance use and misuse totaled almost Can. $40 billion in 2002. The total cost per capita for substance use and misuse was about Can. $1,267: Can. $463 for alcohol, Can. $262 for illegal drugs, and Can. $541 for tobacco. Legal substances accounted for the vast majority of these costs (tobacco: almost 43% of total costs; alcohol: 37%). Indirect costs or productivity losses were the largest cost category (61%), followed by health care (22%) and law enforcement costs (14%). More than 40,000 people died in Canada in 2002 because of substance use and misuse: 37,209 deaths were attributable to tobacco, 4,258 were attributable to alcohol, and 1,695 were attributable to illegal drugs. A total of about 3.8 million hospital days were attributable to substance use and misuse, again mainly to tobacco. Conclusions: Substance use and misuse imposes a considerable economic toll on Canadian society and requires more preventive efforts.
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BACKGROUND Prior epidemiologic studies suggest inverse relations between diabetes and glioma risk, but the underlying mechanisms, including use of antidiabetic drugs, are unknown. METHODS We therefore performed a matched case-control analysis using the Clinical Practice Research Datalink (CPRD). We identified incident glioma cases diagnosed between 1995 and 2012 and matched each case with 10 controls on age, gender, calendar time, general practice, and years of active history in the CPRD. We performed conditional logistic regression to estimate odds ratios (ORs) with 95% CIs, adjusted for body mass index and smoking. RESULTS We identified 2005 cases and 20 050 controls. Diabetes was associated with decreased risk of glioma (OR = 0.74; 95% CI = 0.60-0.93), particularly glioblastoma (OR = 0.69; 95% CI = 0.51-0.94). Glioblastoma risk reduction was markedly pronounced among diabetic men (OR = 0.60; 95% CI = 0.40-0.90), most apparently for those with diabetes of long-term duration (OR for >5 vs 0 y = 0.46; 95% CI = 0.26-0.82) or poor glycemic control (OR for HbA1c ≥8 vs <6.5% = 0.20; 95% CI = 0.06-0.70). In contrast, the effect of diabetes on glioblastoma risk was absent among women (OR = 0.85; 95% CI = 0.53-1.36). No significant associations with glioma were found for use of metformin (OR for ≥30 vs 0 prescriptions = 0.72; 95% CI = 0.38-1.39), sulfonylureas (OR = 0.71; 95% CI = 0.39-1.30), or insulin (OR = 0.79; 95% CI = 0.37-1.69). CONCLUSIONS Antidiabetic treatment appears to be unrelated to glioma, but long-term diabetes duration and increased HbA1c both show decreased glioma risk. Stronger findings in men than women suggest low androgen levels concurrent with diabetes as a biologic mechanism.
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Using the securitization framework to highlight the arguments that facilitated the “War on Drugs”, this paper highlights a separate war against drug traffickers. Facilitated by ideology through the rhetoric promoted by the “War on Drugs,” the fear of communist expansion and democratic contraction, the “War on Drug Traffickers” was implemented, requiring its own strategy separate from the “War on Drugs.” This is an important distinction because the play on words changes the perception of the issue from one of drug addiction to one of weak institutions and insurgent/terrorist threat to those institutions. Furthermore, one cannot propose strategy to win, lose, or retreat in a war that one has been unable to identify properly. And while the all-encompassing “War on Drugs” has motivated tremendous discourse on its failure and possible solutions to remedy its failure, the generalizations made as a result of the inability to distinguish between the policies behind drug addiction and the militarized policies behind drug trafficking have discounted the effect of violence perpetrated by the state, the rationale for the state perpetrating that violence, and the dependence that the state has on foreign actors to perpetrate such violence. This makes it impossible to not only propose effective strategy but also to persuade states that participate in the “War on Drug Traffickers” to adopt the proposed strategy.
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This thesis examines the development of state-narco networks in post-transition Bolivia. Mainstream discourses of drugs tend to undertheorise such relationships, holding illicit economies, weak states and violence as synergistic phenomena. Such assumptions fail to capture the nuanced relations that emerge between the state and the drug trade in different contexts, their underlying logics and diverse effects. As an understudied case, Bolivia offers novel insights into these dynamics. Bolivian military authoritarian governments (1964-1982), for example, integrated drug rents into clientelistic systems of governance, helping to establish factional coalitions and reinforce regime authority. Following democratic transition in 1982 and the escalation of US counterdrug efforts, these stable modes of exchange between the state and the coca-cocaine economy fragmented. Bolivia, though, continued to experience lower levels of drug-related violence than its Andean neighbours, and sustained democratisation despite being a major drug producer. Focusing on the introduction of the Andean Initiative (1989-1993), I explore state-narco interactions during this period of flux: from authoritarianism to (formal) democracy, and from Cold War to Drug War. As such, the thesis transcends the conventional analyses of the drugs literature and orthodox readings of Latin American narco-violence, providing insights into the relationship between illicit economies and democratic transition, the regional role of the US, and the (unintended) consequences of drug policy interventions. I utilise a mixed methods approach to offer discrete perspectives on the object of study. Drawing on documentary and secondary sources, I argue that state-narco networks were interwoven with Bolivia’s post-transition political settlement. Uneven democratisation ensured pockets of informalism, as clientelistic and authoritarian practices continued. This included police and military autonomy, and tolerance of drug corruption within both institutions. Non-enforcement of democratic norms of accountability and transparency was linked to the maintenance of fragile political equilibrium. Interviews with key US and Bolivian elite actors also revealed differing interpretations of state-narco interactions. These exposed competing agendas, and were folded into alternative paradigms and narratives of the ‘war on drugs’. The extension of US Drug War goals and the targeting of ‘corrupt’ local power structures, clashed with local ambivalence towards the drug trade, opposition to destabilising, ‘Colombianised’ policies and the claimed ‘democratising mission’ of the Bolivian government. In contrasting these US and Bolivian accounts, the thesis shows how real and perceived state-narco webs were understood and navigated by different actors in distinct ways. ‘Drug corruption’ held significance beyond simple economic transaction or institutional failure. Contestation around state-narco interactions was enmeshed in US-Bolivian relations of power and control.
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Insulin was used as model protein to developed innovative Solid Lipid Nanoparticles (SLNs) for the delivery of hydrophilic biotech drugs, with potential use in medicinal chemistry. SLNs were prepared by double emulsion with the purpose of promoting stability and enhancing the protein bioavailability. Softisan(®)100 was selected as solid lipid matrix. The surfactants (Tween(®)80, Span(®)80 and Lipoid(®)S75) and insulin were chosen applying a 2(2) factorial design with triplicate of central point, evaluating the influence of dependents variables as polydispersity index (PI), mean particle size (z-AVE), zeta potential (ZP) and encapsulation efficiency (EE) by factorial design using the ANOVA test. Therefore, thermodynamic stability, polymorphism and matrix crystallinity were checked by Differential Scanning Calorimetry (DSC) and Wide Angle X-ray Diffraction (WAXD), whereas the effect of toxicity of SLNs was check in HepG2 and Caco-2 cells. Results showed a mean particle size (z-AVE) width between 294.6 nm and 627.0 nm, a PI in the range of 0.425-0.750, ZP about -3 mV, and the EE between 38.39% and 81.20%. After tempering the bulk lipid (mimicking the end process of production), the lipid showed amorphous characteristics, with a melting point of ca. 30 °C. The toxicity of SLNs was evaluated in two distinct cell lines (HEPG-2 and Caco-2), showing to be dependent on the concentration of particles in HEPG-2 cells, while no toxicity in was reported in Caco-2 cells. SLNs were stable for 24 h in in vitro human serum albumin (HSA) solution. The resulting SLNs fabricated by double emulsion may provide a promising approach for administration of protein therapeutics and antigens.
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Few studies have evaluated the profile of use of disease modifying drugs (DMD) in Brazilian patients with spondyloarthritis (SpA). A common research protocol was applied prospectively in 1505 patients classified as SpA by criteria of the European Spondyloarthropathies Study Group (ESSG), followed at 29 referral centers in Rheumatology in Brazil. Demographic and clinical variables were obtained and evaluated, by analyzing their correlation with the use of DMDs methotrexate (MTX) and sulfasalazine (SSZ). At least one DMD was used by 73.6% of patients: MTX by 29.2% and SSZ by 21.7%, while 22.7% used both drugs. The use of MTX was significantly associated with peripheral involvement, and SSZ was associated with axial involvement, and the two drugs were more administered, separately or in combination, in the mixed involvement (p < 0.001). The use of a DMD was significantly associated with Caucasian ethnicity (MTX , p = 0.014), inflammatory back pain (SSZ, p = 0.002) , buttock pain (SSZ, p = 0.030), neck pain (MTX, p = 0.042), arthritis of the lower limbs (MTX, p < 0.001), arthritis of the upper limbs (MTX, p < 0.001), enthesitis (p = 0.007), dactylitis (MTX, p < 0.001), inflammatory bowel disease (SSZ, p < 0.001) and nail involvement (MTX, p < 0.001). The use of at least one DMD was reported by more than 70% of patients in a large cohort of Brazilian patients with SpA, with MTX use more associated with peripheral involvement and the use of SSZ more associated with axial involvement.
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Phase I trials use a small number of patients to define a maximum tolerated dose (MTD) and the safety of new agents. We compared data from phase I and registration trials to determine whether early trials predicted later safety and final dose. We searched the U.S. Food and Drug Administration (FDA) website for drugs approved in nonpediatric cancers (January 1990-October 2012). The recommended phase II dose (R2PD) and toxicities from phase I were compared with doses and safety in later trials. In 62 of 85 (73%) matched trials, the dose from the later trial was within 20% of the RP2D. In a multivariable analysis, phase I trials of targeted agents were less predictive of the final approved dose (OR, 0.2 for adopting ± 20% of the RP2D for targeted vs. other classes; P = 0.025). Of the 530 clinically relevant toxicities in later trials, 70% (n = 374) were described in phase I. A significant relationship (P = 0.0032) between increasing the number of patients in phase I (up to 60) and the ability to describe future clinically relevant toxicities was observed. Among 28,505 patients in later trials, the death rate that was related to drug was 1.41%. In conclusion, dosing based on phase I trials was associated with a low toxicity-related death rate in later trials. The ability to predict relevant toxicities correlates with the number of patients on the initial phase I trial. The final dose approved was within 20% of the RP2D in 73% of assessed trials.
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There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist 'Eve' designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening. For further efficiency Eve uses a standardized form of assay to compute Boolean functions of compound properties. These assays can be quickly and cheaply engineered using synthetic biology, enabling more targets to be assayed for a given budget. Eve has repositioned several drugs against specific targets in parasites that cause tropical diseases. One validated discovery is that the anti-cancer compound TNP-470 is a potent inhibitor of dihydrofolate reductase from the malaria-causing parasite Plasmodium vivax.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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A wide variety of opportunistic pathogens has been detected in the tubing supplying water to odontological equipment, in special in the biofilm lining of these tubes. Among these pathogens, Pseudomonas aeruginosa, one of the leading causes of nosocomial infections, is frequently found in water lines supplying dental units. In the present work, 160 samples of water, and 200 fomite samples from forty dental units were collected in the city of Barretos, State of São Paulo, Brazil and evaluated between January and July, 2005. Seventy-six P. aeruginosa strains, isolated from the dental environment (5 strains) and water system (71 strains), were tested for susceptibility to six antimicrobial drugs most frequently used against P. aeruginosa infections. Susceptibility to ciprofloxacin, followed by meropenem was the predominant profile. The need for effective means of reducing the microbial burden within dental unit water lines is emphasized, and the risk of exposure and cross-infection in dental practice, in special when caused by opportunistic pathogens like P. aeruginosa, are highlighted.
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In Natural Language Processing (NLP) symbolic systems, several linguistic phenomena, for instance, the thematic role relationships between sentence constituents, such as AGENT, PATIENT, and LOCATION, can be accounted for by the employment of a rule-based grammar. Another approach to NLP concerns the use of the connectionist model, which has the benefits of learning, generalization and fault tolerance, among others. A third option merges the two previous approaches into a hybrid one: a symbolic thematic theory is used to supply the connectionist network with initial knowledge. Inspired on neuroscience, it is proposed a symbolic-connectionist hybrid system called BIO theta PRED (BIOlogically plausible thematic (theta) symbolic-connectionist PREDictor), designed to reveal the thematic grid assigned to a sentence. Its connectionist architecture comprises, as input, a featural representation of the words (based on the verb/noun WordNet classification and on the classical semantic microfeature representation), and, as output, the thematic grid assigned to the sentence. BIO theta PRED is designed to ""predict"" thematic (semantic) roles assigned to words in a sentence context, employing biologically inspired training algorithm and architecture, and adopting a psycholinguistic view of thematic theory.
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In-situ measurements in convective clouds (up to the freezing level) over the Amazon basin show that smoke from deforestation fires prevents clouds from precipitating until they acquire a vertical development of at least 4 km, compared to only 1-2 km in clean clouds. The average cloud depth required for the onset of warm rain increased by similar to 350 m for each additional 100 cloud condensation nuclei per cm(3) at a super-saturation of 0.5% (CCN0.5%). In polluted clouds, the diameter of modal liquid water content grows much slower with cloud depth (at least by a factor of similar to 2), due to the large number of droplets that compete for available water and to the suppressed coalescence processes. Contrary to what other studies have suggested, we did not observe this effect to reach saturation at 3000 or more accumulation mode particles per cm(3). The CCN0.5% concentration was found to be a very good predictor for the cloud depth required for the onset of warm precipitation and other microphysical factors, leaving only a secondary role for the updraft velocities in determining the cloud drop size distributions. The effective radius of the cloud droplets (r(e)) was found to be a quite robust parameter for a given environment and cloud depth, showing only a small effect of partial droplet evaporation from the cloud's mixing with its drier environment. This supports one of the basic assumptions of satellite analysis of cloud microphysical processes: the ability to look at different cloud top heights in the same region and regard their r(e) as if they had been measured inside one well developed cloud. The dependence of r(e) on the adiabatic fraction decreased higher in the clouds, especially for cleaner conditions, and disappeared at r(e)>=similar to 10 mu m. We propose that droplet coalescence, which is at its peak when warm rain is formed in the cloud at r(e)=similar to 10 mu m, continues to be significant during the cloud's mixing with the entrained air, cancelling out the decrease in r(e) due to evaporation.