2,617 research outputs found

    HET PALET VAN DE MEDISCH‐HISTORICUS

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    Rede uitgesproken door Prof.dr. M.J van Lieburg ter gelegenheid van zijn afscheid als hoogleraar in de Medische Geschiedenis aan de Erasmus Universiteit Rotterdam op vrijdag 24 maart 201

    Understanding the NSAID related risk of vascular events

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    Concern is growing about an increased risk of thrombotic events (including myocardial infarction and stroke) during the use of non-steroidal anti-inflammatory drugs (NSAIDs), in particular the so called selective cyclo-oxygenase-2 (COX 2) inhibitors. Although clinical trials give conflicting results with respect to the incidence of vascular events, increasing evidence shows that a class effect might exist for selective COX 2 inhibitors. Even before the massive introduction of selective COX 2 inhibitors, observational studies showed that the use of NSAIDs causes congestive heart failure in elderly patients.1,2 Conversely, the discontinuation of NSAIDs has also been associated with increased risk of myocardial infarction, especially in the first several weeks after stopping chronic NSAID treatment.3Many different mechanisms could explain the different effects of classic NSAIDs and selective COX 2 inhibitors in relation to thrombotic vascular events. In this review we link biochemical facts concerning NSAIDs and COX inhibitors with data from clinical trials

    Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model

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    Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power facilities, while an underestimate of future load will result in insufficient generation and unmet demand. This paper presents first-of-its-kind approach to use multiplicative error model (MEM) in forecasting load for long-term horizon. MEM originates from the structure of autoregressive conditional heteroscedasticity (ARCH) model where conditional variance is dynamically parameterized and it multiplicatively interacts with an innovation term of time-series. Historical load data, accessed from a U.S. regional transmission operator, and recession data for years 1993-2016 is used in this study. The superiority of considering volatility is proven by out-of-sample forecast results as well as directional accuracy during the great economic recession of 2008. To incorporate future volatility, backtesting of MEM model is performed. Two performance indicators used to assess the proposed model are mean absolute percentage error (for both in-sample model fit and out-of-sample forecasts) and directional accuracy.Comment: 19 pages, 11 figures, 3 table

    Construct validity of the interview Time Trade-Off and computer Time Trade-Off in patients with rheumatoid arthritis: A cross-sectional observational pilot study

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    Background\ud The Time Trade-Off (TTO) is a widely used instrument for valuing preference-based health-related quality of life (HRQoL). The TTO reveals preferences for own current health (‘utilities’) on a scale anchored between death (0) and perfect health (1). Limited information on the external validity of the TTO is available. Aim of this pilot study was to examine the construct validity of both an interview TTO and a computer-based TTO in patients with rheumatoid arthritis (RA).\ud \ud Methods\ud Thirty patients visiting the outpatient rheumatology clinic participated. Construct validity was assessed by measuring convergent and discriminative validity. Convergent validity was assessed by calculating Spearman’s correlations between the utilities obtained from the TTOs and pain, general health (rating scales), health-related quality of life (SF-36 and SF-6D) and functional status (HAQ-DI). Discriminative power of both TTO measures was determined by comparing median utilities between worse and better health outcomes.\ud \ud Results\ud Correlations of both TTO measures with HRQoL, general health, pain and functional status were poor (absolute values ranging from .05 to .26). Both TTOs appeared to have no discriminative value among groups of RA patients who had a worse or better health status defined by six health outcome measures. About one-third of respondents were zero-traders on each of the TTO measures. After excluding zero-traders from analysis, the correlations improved considerably.\ud \ud Conclusions\ud Both the interview TTO and computer TTO showed poor construct validity in RA patients when using measures of HRQol, general health, pain and functional status as reference measures. Possibly, the validity of the TTO improves when using an anchor that is more realistic to RA patients than the anchor ‘death’

    Strange Particle Production Via The Weak Interaction

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    The differential cross sections for the neutrino-induced weak charged current production of strange particles in the threshold energy region are presented. The general representation of the weak hadronic current is newly developed in terms of eighteen unknown invariant amplitudes to parametrize the hadron vertex. The Born term approximation is used for the numerical calculations in the framework of the Cabibbo theory and SU(3) symmetry. For unpolarized octet baryons four processes are investigated, whereas in the case of polarized baryons only one process is chosen to study the sensitivity of the differential cross section to the various polarizations of the initial state nucleon and the final state hyperon.Comment: This paper was originally submitted to Physical Review C and published on 30 August, 201

    Limited results of group self-management education for rheumatoid arthritis patients and their partners: explanations from the patient perspective

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    This study aimed to identify the reasons for limited results of group self-management for RA patients and their partners from the patient perspective. Semi-structured interviews with ten male and ten female patients who had participated in group self-management with or without their partner were content analyzed with respect to motivation to participate and the effects of the program on them. The limited effects of the self-management program appear to be linked with low motivation to participate and to change health behavior. The data show that a decline in health and also stressful life events might be associated with the disappointing effects of the program. Three strategies were proposed for improving the program’s effects: (a) provide information about the program in advance to ensure that patients have appropriate expectations. (b) Enhance intrinsic motivation to change health behavior by counseling techniques. (c) Tailoring with respect to motivation and current concerns could help to form more homogeneous groups or could be the basis for a tailored online intervention
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