High accuracy but low consistency in children’s long-term recall of a real-life stressful event

2014 ◽  
Vol 126 ◽  
pp. 357-368 ◽  
Author(s):  
Gunn Astrid Baugerud ◽  
Svein Magnussen ◽  
Annika Melinder
2018 ◽  
Vol 60 (3) ◽  
Author(s):  
Bruno Lumbroso ◽  
Marco Rispoli ◽  
M. Cristina Savastano
Keyword(s):  

2021 ◽  
pp. 1-6
Author(s):  
Cihat Uzunköprü ◽  
Yesim Beckmann ◽  
Sabiha Türe

<b><i>Introduction:</i></b> The primary aim of the present study was to evaluate the long-term efficacy of fingolimod in patients with multiple sclerosis (MS); secondary aims were to describe the safety of fingolimod with the evaluation of treatment satisfaction and impact on the quality of life in real life. <b><i>Methods:</i></b> We collected clinical, demographical, neuroradiological, and treatment data, including pre- and posttreatment status health-related quality of life from 286 MS patients consecutively treated with fingolimod. Clinical assessment was based on the Expanded Disability Status Scale (EDSS), and quality of life assessment was performed with MS-related quality of life inventory (MSQOLI). The data were recorded at baseline and every 6 months for 2 years. <b><i>Results:</i></b> One hundred and fourteen males and 172 females were enrolled. The annualized relapse rate and EDSS showed a statistically significant reduction during the observation period (<i>p</i> &#x3c; 0.001). The patients also demonstrated substantial improvements in magnetic resonance imaging (MRI) outcomes (<i>p</i> &#x3c; 0.001). Health-related quality of life scores improved significantly between baseline and 24-month visit (<i>p</i> &#x3c; 0.001). No serious adverse events occurred. <b><i>Conclusion:</i></b> In our cohort, fingolimod treatment was associated with reduced relapse, MRI activity, and improved EDSS and MSQOLI scores. Additionally, fingolimod has been able to maintain its effectiveness over a considerable long period of treatment.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Haagsma ◽  
G Wyper ◽  
B Devleesschauwer

Abstract Years Lived with Disability (YLD) is a component of the Disability-Adjusted Life Year (DALY), and measures the healthy time that is lost because of living with a disease or disability. YLDs are calculated by multiplying the prevalence and/or incidence of a disorder by the short- or long-term loss of health associated with that disability (the disability weight) and disease severity (severity distribution). The process of calculating a YLD involves several components and in this presentation each step will be highlighted through a sequential walk through for each step in the YLD calculation, including counting disease occurrencethe relationship between disability weights, health states and severity distributionsadjusting for comorbiditiesdealing with uncertainty The aim of this presentation is to provide a simple step by step guide on the key components in the YLD calculation. Using the real-life example of cerebrovascular disease, the presentation will outline the key choices and assumptions that underline each data input in the YLD calculation. Participants in this session will also be provided with links to resources to help facilitate this decision-making process. The workshop will end with an interactive session where the presenters will discuss the implications of the different methodological choices with the audience.


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