265 research outputs found

    A critical evaluation of promotional drug literatures available with prescribers at a tertiary care teaching hospital in Gujarat, India

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    Background: Promotional literature provided by the pharmaceutical companies is one of the important marketing strategies to prescribe. Many of these literatures do not follow ethical guidelines and contain biased and irrelevant information that may cause irrational prescribing. So we did this study with an aim to check the credibility, reliability and authenticity of the PDLs available with prescribers.Methods: Promotional drug literatures were analyzed based on various parameters and guidelines provided by world health organization. Statistical analysis was done using Microsoft Excel.Results: A total 395 promotional drug literatures were analyzed and very few of them fulfilled the ethical criteria for drug promotion. Most of them focused on providing information about generic name, brand name manufacture company name and claims about efficacy. Few of them focused on safety of drugs as less information provided about adverse reaction, precaution and drug-drug interaction. Many of them contain space occupying unnecessary pictures.Conclusions: It can be concluded that the majority of the promotional advertisements that were given to the prescribers do not follow ethical guidelines and were not able to improve rational prescribing but only have commercial benefits

    A cross sectional study of various types of acute poisoning; pharmacological management and their outcome in a tertiary care hospital

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    Background: Acute poisoning is a common and life-threatening crisis, leading to serious complications and death of patients. Poisoning may be due to self-consumption, accidental exposure of chemical compounds, medications and poisonous animal bites/stings. Aim of current study was to investigate the pattern of drug utilization, poisoning agents and outcome in patients with acute poisoning treated at a tertiary care teaching hospital, Vadodara, Gujarat. Methods: This prospective cross-sectional study was done on patients of acute poisoning admitted in emergency department, SSG Hospital during August 2021-March 2022. Results: 400 patients were enrolled during the study, from which 262 (65.50%) were male and 138 (34.50%) were female. Mean age of patients was 30.30 ± 13.79 years. The commonest mode of poisoning observed was Suicidal (66.25%). The most common cause of poisoning was due to Pesticides (33.25%), followed by venomous animal exposures (30.75%). Death was recorded in 53 (13.25%) patients with highest number seen in suicidal poisoning (14.34%) compared to accidental poisonings (11.19%). Mainly, multivitamins (19.03%), Antimicrobials (16.65%), Proton Pump Inhibitors (15.85%) and Antiemetics (11.10%) were prescribed. Antidotes used were Atropine (4.81%), Pralidoxime (4.46%) and Anti-snake venom (2.80%). Median number of drugs per patient was 8; range: 2-25. Conclusions: Pattern and magnitude of poisoning are multidimensional and demand multi-sectoral approach for facing this problem. Due to high incidence of snakebites, hospital stockpiles should be regularly checked for availability of antivenom. There is a need for stringent pesticide regulation laws, counselling and training programs to reduce incidence of poisonings and deaths due to it

    CSNL: A cost-sensitive non-linear decision tree algorithm

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    This article presents a new decision tree learning algorithm called CSNL that induces Cost-Sensitive Non-Linear decision trees. The algorithm is based on the hypothesis that nonlinear decision nodes provide a better basis than axis-parallel decision nodes and utilizes discriminant analysis to construct nonlinear decision trees that take account of costs of misclassification. The performance of the algorithm is evaluated by applying it to seventeen datasets and the results are compared with those obtained by two well known cost-sensitive algorithms, ICET and MetaCost, which generate multiple trees to obtain some of the best results to date. The results show that CSNL performs at least as well, if not better than these algorithms, in more than twelve of the datasets and is considerably faster. The use of bagging with CSNL further enhances its performance showing the significant benefits of using nonlinear decision nodes. The performance of the algorithm is evaluated by applying it to seventeen data sets and the results are compared with those obtained by two well known cost-sensitive algorithms, ICET and MetaCost, which generate multiple trees to obtain some of the best results to date. The results show that CSNL performs at least as well, if not better than these algorithms, in more than twelve of the data sets and is considerably faster. The use of bagging with CSNL further enhances its performance showing the significant benefits of using non-linear decision nodes

    Building indoor model in PALM-4U: indoor climate, energy demand, and the interaction between buildings and the urban microclimate

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    There is a strong interaction between the urban atmospheric canopy layer and the building energy balance. The urban atmospheric conditions affect the heat transfer through exterior walls, the long-wave heat transfer between the building surfaces and the surroundings, the short-wave solar heat gains, and the heat transport by ventilation. Considering also the internal heat gains and the heat capacity of the building structure, the energy demand for heating and cooling and the indoor thermal environment can be calculated based on the urban microclimatic conditions. According to the building energy concept, the energy demand results in an (anthropogenic) waste heat; this is directly transferred to the urban environment. Furthermore, the indoor temperature is re-coupled via the building envelope to the urban environment and affects indirectly the urban microclimate with a temporally lagged and damped temperature fluctuation. We developed a holistic building model for the combined calculation of indoor climate and energy demand based on an analytic solution of Fourier's equation and implemented this model into the PALM model.</p

    COVID-19 in cancer patients on systemic anti-cancer therapies: outcomes from the CAPITOL (COVID-19 Cancer PatIenT Outcomes in North London) cohort study

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    Background: Patients with cancer are hypothesised to be at increased risk of contracting COVID-19, leading to changes in treatment pathways in those treated with systemic anti-cancer treatments (SACT). This study investigated the outcomes of patients receiving SACT to assess whether they were at greater risk of contracting COVID-19 or having more severe outcomes. / Methods: Data was collected from all patients receiving SACT in two cancer centres as part of CAPITOL (COVID-19 Cancer PatIenT Outcomes in North London). The primary outcome was the effect of clinical characteristics on the incidence and severity of COVID-19 infection in patients on SACT. We used univariable and multivariable models to analyse outcomes, adjusting for age, gender and comorbidities. / Results: A total of 2871 patients receiving SACT from 2 March to 31 May 2020 were analysed; 68 (2.4%) were diagnosed with COVID-19. Cancer patients receiving SACT were more likely to die if they contracted COVID-19 than those who did not [adjusted (adj.) odds ratio (OR) 9.84; 95% confidence interval (CI) 5.73–16.9]. Receiving chemotherapy increased the risk of developing COVID-19 (adj. OR 2.99; 95% CI = 1.72–5.21), with high dose chemotherapy significantly increasing risk (adj. OR 2.36, 95% CI 1.35–6.48), as did the presence of comorbidities (adj. OR 2.29; 95% CI 1.19–4.38), and having a respiratory or intrathoracic neoplasm (adj. OR 2.12; 95% CI 1.04–4.36). Receiving targeted treatment had a protective effect (adj. OR 0.53; 95% CI 0.30–0.95). Treatment intent (curative versus palliative), hormonal- or immunotherapy and solid versus haematological cancers had no significant effect on risk. / Conclusion: Patients on SACT are more likely to die if they contract COVID-19. Those on chemotherapy, particularly high dose chemotherapy, are more likely to contract COVID-19, while targeted treatment appears to be protective

    Dynamic auroral storms on Saturn as observed by the Hubble Space Telescope

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    We present observations of significant dynamics within two UV auroral storms observed on Saturn using the Hubble Space Telescope in April/May 2013. Specifically, we discuss bursts of auroral emission observed at the poleward boundary of a solar wind-induced auroral storm, propagating at ∼330% rigid corotation from near ∼01 h LT toward ∼08 h LT. We suggest that these are indicative of ongoing, bursty reconnection of lobe flux in the magnetotail, providing strong evidence that Saturn’s auroral storms are caused by large-scale flux closure. We also discuss the later evolution of a similar storm and show that the emission maps to the trailing region of an energetic neutral atom enhancement. We thus identify the auroral form with the upward field-aligned continuity currents flowing into the associated partial ring current

    Overview of the PALM model system 6.0

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    In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Largeeddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model with components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue

    Design of a multicentre randomized trial to evaluate CT colonography versus colonoscopy or barium enema for diagnosis of colonic cancer in older symptomatic patients: The SIGGAR study

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    Background and Aims: The standard whole-colon tests used to investigate patients with symptoms of colorectal cancer are barium enema and colonoscopy. Colonoscopy is the reference test but is technically difficult, resource intensive, and associated with adverse events, especially in the elderly. Barium enema is safer but has reduced sensitivity for cancer. CT colonography ("virtual colonoscopy") is a newer alternative that may combine high sensitivity for cancer with safety and patient acceptability. The SIGGAR trial aims to determine the diagnostic efficacy, acceptability, and economic costs associated with this new technology.Methods: The SIGGAR trial is a multi-centre randomised comparison of CT colonography versus standard investigation ( barium enema or colonoscopy), the latter determined by individual clinician preference. Diagnostic efficacy for colorectal cancer and colonic polyps measuring 1 cm or larger will be determined, as will the physical and psychological morbidity associated with each diagnostic test, the latter via questionnaires developed from qualitative interviews. The economic costs of making or excluding a diagnosis will be determined for each diagnostic test and information from the trial and other data from the literature will be used to populate models framed to summarise the health effects and costs of alternative approaches to detection of significant colonic neoplasia in patients of different ages, prior risks and preferences. This analysis will focus particularly on the frequency, clinical relevance, costs, and psychological and physical morbidity associated with detection of extracolonic lesions by CT colonography.Results: Recruitment commenced in March 2004 and at the time of writing ( July 2007) 5025 patients have been randomised. A lower than expected prevalence of end-points in the barium enema sub-trial has caused an increase in sample size. In addition to the study protocol, we describe our approach to recruitment, notably the benefits of extensive piloting, the use of a sham-randomisation procedure, which was employed to determine whether centres interested in participating were likely to be effective in practice, and the provision of funding for dedicated sessions for a research nurse at each centre to devote specifically to this trial
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